-74813b3e17f460286df17b6 20220629081819432 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 12 30 2019 9 2 Asst. Prof, Mechanical Engineering Department, Vignan’s Institute of Engineering for Women, Visakhapatnam, A.P., India. Swathi Boosala* Er. Darapu Srikanth Satish Kumar Darapu Assistant Professor at the Dept. of Civil Eng., GIT, GITAM Deemed to be University, Visakhapatnam, A.P., India. M. Nagendrababu Assistant Professor at the Dept. of Civil Eng., GIT, GITAM Deemed to be University, Visakhapatnam, A.P., India. Ch. Suresh Assistant Professor at the Dept. of Civil Eng., GIT, GITAM Deemed to be University, Visakhapatnam, A.P., India. The purpose of carburizing, nitriding and carbo-nitriding is to increase the strength of components. Elements such as carbon, nitrogen and carbon-nitride are diffused into the components at high temperature convective environment. The amount of diffusion is to be regulated by controlling the temperature and time of diffusion. Time and temperature of process govern diffusion rate and strength of the component. Numerical modeling is applied by energy balance approach i.e., equating rate of change of energy is equal to energy transferred by conduction, convection and radiation. By non dimensionalising relations for the mentioned critical parameters were obtained. The phenomenon of convection, radiation and conduction are taken together for the purpose of numerical modeling. Variation of temperature and depth of diffusion of component for the taken components i.e., sphere and cube was plotted in transient state. For both numerical analysis and simulation the boundary conditions i.e., for carburization the ambient temperature is 9500C with carbon monoxide as the carburizing agent and for nitriding the ambient temperature is 5300C with nitrogen as nitriding agent and the component taken is of steel which is initially at room temperature were taken. Results obtained from numerical modeling and simulation were compared with each other and observed that in both analyses the variation of temperature with time and depth of diffusion is almost linear. Final differential equation obtained in numerical modeling is a single order non linear differential equation which is solved in MATLAB using finite difference approach. Data obtained from MATLAB were plotted for variation of surface temperature and geometric dimension with respect to time. 12 30 2019 2584 2593 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7178.129219 https://www.ijitee.org/portfolio-item/B7178129219/ Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia. Lily Montarcih Limantara* Suwanto Marsudi Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia. Afif Taufliqul Hakim Department of Water Resources, Faculty of Engineering, University of Brawijaya, Malang, Indonesia. Sulawesi Selatan is one of the provinces with high amount of electricality consumption. By the high amount of electricity consumption, electrical energy is needed to be provided. To provide the electricity we need the energy source. The river in Madong village, Toraja Utara Regency has the characteristic that potentially can be an energy source. To get the benefit from the Madong river, we need the study of designing and economic analysis. From analyzed data of the selected flood discharge (Q100) to be 488.55 m3.s-1 and the selected plant discharge (Q40) to be 13.18 m3.s-1. This hydropower was designed with a concrete and circle-shaped weir. There are the other components such as intake, feeder canal, settling basin, volume, headrace, fore bay and penstock. The penstock is using the welded steel material, with 2 m of diameter and 12 mm of thickness. Then, there is a tailrace that will transmit the water back to the river. The selected turbines are 2 units of Francis type, with the 12.59 MW power produced and 68.92 GWh energy produced in a year. The result of economic analysis, the project is feasible with BCR 1.29, NPV 135 Billion rupiahs, IRR 12.68%, and Payback period within 15.43 years. 12 30 2019 2805 2813 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7182.129219 https://www.ijitee.org/portfolio-item/B7182129219/ Faculty of Education in National University of Malaysia, Bangi, Selangor, Malaysia. Suhashini Selva Raj* TAN, Kim Hua Associate Professor, Faculty of Social Sciences and Humanities, Universiti Kebangsaan Malaysia. Idioms pose countless barriers to natural language processing and linguistic theory. Investigating how teachers teach idioms in schools using various methodologies is important. The therapy of idioms is fundamentally distinct in traditional and modern methods. Thus, this article has outlined the placement of idioms in traditional and modern methodologies and determined the acumen of English as second language (ESL) teachers in teaching idioms. Additionally, this article has uncovered the problems concerning idiom teaching by comparing ways on how idioms are handled in traditional versus modern methods through illustrating teachers’ cognition and views. Data were collected from four rural ESL teachers through qualitative study by using interview protocol. Findings showed that rural ESL teachers prefer to apply traditional method in teaching idioms as they are akin to explicit instructions. The use of traditional and modern methods to teach idioms generally varies depending on teachers and the method’s unique implication on the learners. Thus, this research paper could be a guidance for the rural ESL teachers from all around the world to make instructional decisions in teaching of idioms by taking into account rural pupils’ proficiency level, preferred learning style and their socioeconomic background. 12 30 2019 2594 2601 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7183.129219 https://www.ijitee.org/portfolio-item/B7183129219/ Associate Professor in Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad. N. Madhavi* Muttangi Sushma Assistant Professor in Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad. Mahesh Kumar Assistant Professor in Department of Aeronautical Engineering, MLR Institute of Technology Hyderabad. Around the globe precision agriculture has experienced unprecedented growth. The usage of drones in the agricultural flied and horticulture are revolutionizing agriculture. Through the use of various sensors and digital imaging capabilities, it can lead to a precision agriculture. The purpose of the project is to study about agricultural land using a drone. The use of drones in survey helps to reduce the time and hence gathering accurate and more information. In one flight, huge amount of data can be collected from the sky, in the form of digital aerial images. It is expected that the use of agricultural drones will grow significantly in the coming years, since they offer a wide range of applications that improve precision farming. 12 30 2019 5050 5053 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7184.129219 https://www.ijitee.org/portfolio-item/B7184129219/ Assistant Professor In Vellore Instiute Of Technology, Vellore. Prof Benjula Anbu Malar.M.B* R. Praveen Pursuing Master Of Computer Application in Vellore Instiute Of Technology,Vellore. K.P. Kavipriya Pursuing Master Of Computer Application In Vellore Instiute Of Technology,Vellore. In this paper we have designed a basic robotic chassis which can be easily controlled with the help of accelerometer instead of using button control. Here the most significant device is accelerometer. The accelerometer is the 3 axis estimation gadget with +-3g range. This gadget is made by utilizing polysilicon surface sensor and signal controlling circuit to quantify acceleration. The outcome of the accelerometer is analog in nature and corresponding to the acceleration. This gadget measures the static acceleration of gravity when we tilt it. And gives an outcome in type of movement or vibration. The hand position is sensed and the coordinates generated is considered as the parameter and if neccessary conditions are met, the statement prescribed in the arduino code is executed and the direction of the robot chassis is changed accordingly. So that it can perform the task such as forward moving, backward moving, turning left, turning right and stop. In many cases, the robot devices are some tough and complex while we control it with the help of buttons and switches. The major fields that prefers hand gesture robots are Defence field, industrial robotics, vehicle part assemble in civil side, medical field for surgery. In these fields if we are using remote controls and the button, the task will become complex. Sometimes the operator may get confuse in the switch control and button control, so a new concept is used to manage the gadget with the motion of the hand and at the same time it will manage the motion of the device. 12 30 2019 2814 2818 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7185.129219 https://www.ijitee.org/portfolio-item/B7185129219/ College of software, Chungang University, Heugseoglo 84, Dongjaggu, Seoul, Korea, Jae Won Choi* Churn has a significant impact on mobile network operators and telecommunications service providers. Many studies on churn have been reported, but no one can say that they can create universal human tools for predicting churn or that we can see all the reasons for it. The purpose of this study is to derive the call behavior factors of churning customers and to find ways to reduce the churn of target customers who exhibit these call behaviors. For this, this study uses decision tree and machine learning for the prediction of churn in telecom service. Based on the analysis results, first, the fact that the total number of customers who have more than 316.7 in churn shows that the higher the number of calls, the higher the chance of churn. Second, among customers with total day minutes above 316.7, those with customer service calls above 8.5 show a high likelihood of churn among complaining customers. The overall accuracy is 91.4%. Among the customers who predicted not to be churned, the accuracy that would not be churned was 92.87%, and the accuracy that was churned was 78.4% among the customers predicted to be churned. 12 30 2019 3831 3834 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7189.129219 https://www.ijitee.org/portfolio-item/B7189129219/ Department of Electrical Engineering, Benha faculty of engineering, Benha University, Benha, Egypt Ghada M. Amer* Ayman S. Selmy* Department of Electrical Engineering, Benha faculty of engineering, Benha University, Benha, Egypt Wael A. Mohamed Department of Electrical Engineering, Benha faculty of engineering, Benha University, Benha, Egypt This study presents a new technique for fast detecting and diagnosing of power grids faults. Discrete Wavelet transform (DWT) has a major disadvantage of noise sensitivity. The proposed technique solves the problems of DWT, where a high-precision classification of noisy and faulty signals could be obtained. Fusion between voltage and power readings is done to provide a more reliable and accurate decision to determine the exact location of the fault. In this technique, the learner classifier is used,and the system is trained for multiple situations where most faults may occur. All simulations were carried out and performed on the standard IEEE 14 bus system to check the efficiency and performance of the technique proposed. Simulation results demonstrate, as will be discussed, a strong effectiveness of the suggested approach relative to others. The main feature of the proposed technique is that it can differentiate between faulty and noisy signals and recognize the fault's location quickly and with high reliability. 12 30 2019 2819 2824 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7191.129219 https://www.ijitee.org/portfolio-item/B7191129219/ Associate Professor, Department Of Education, Pope John Paul Ii College Of Education, Reddiarpalayam, Pondicherry, Tamil Nadu, India. Mrs. I.Anik Justina* Dr. Edward William Professor & Head, Department of Education, CDE Bharathidasan University Tiruchirappalli, Tamil Nadu, India. In the era, academic organizations face many challenges because of the dynamic nature of the setting. one among the various challenges for a college is to satisfy its academics so as to cope up with the ever dynamic and evolving setting and to realize success and maintain their standards. one among the vital conditions for a tutor to provide best result's the cordial setting during which they work. the target of the most study is to research the impact of operating atmosphere on teachers’ job fulfilment. current study utilized a quantitative methodology. Datas was collected through the self-administered survey sorts form and an even tool. The target population consists of academics from Pondicherry region. For this study straightforward sampling techniques used for collections of datas from two hundred academics. The outcomes specify that there's a optimistic affiliation among operating atmosphere and teacher’s job satisfaction. It states the requirement of the management to comprehend the importance of excellent operating setting for maximising the extent of job fulfilment. A happy teacher would bring desired changes within the students and enhance their tutorial accomplishment. 12 30 2019 4487 4490 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7192.129219 https://www.ijitee.org/portfolio-item/B7192129219/ Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India John Philip B* Aditya M Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India. Jitendra Reddy Y Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India Hashvath SK Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India Maneesha K Department of Electronics & Communication Engineering, Koneru Lakshmaiah Educational Foundation, Vaddeswaram, AP, India In the technological evolution of integrated circuits, one of the important and considerable issues is the guesstimate of behavioural analysis of the simple circuits. The simplicity of the theory of logical effort is efficient in the evaluation of timing behaviour of the network with normal CMOS implementation. Howbeit this concept is inefficacious with the hybrid circuits as the circuit structure becomes intricate. At the same time, innumerable circuits with the hybrid arrangement which are good enough in various parameters when compared with standard CMOS have been proposed for various applications. Elite coordinated circuits frequently use adders to accomplish better speed to the detriment of intensity utilization or structure exertion. Hence it is particularly required to comprehend the working of full adders as they thus make an effect in the general gadget execution. The circuits developed by hybrid approach use perceptible logic styles to intensify the performance. Hence there is a great necessity to have an efficient timing behaviour method to determine the proper performance of hybrid adder circuits. This paper presents an efficient investigation that gives the designer a higher level of structure opportunity to focus on a wide scope of utilizations and foresee their exhibition. For the standard and exact selection and reducing of a hybrid adder cell two parameters are taken; one is gain and the other one is the selection factor. These can be quantifiable on the single test bench for the executives of vitality productivity. The predictive analysis is firmly established by implementing in Mentor Graphics for the chosen adder blocks 12 30 2019 2825 2827 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7194.129219 https://www.ijitee.org/portfolio-item/B7194129219/ Ph. D, Research Scholar, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India. Sr. Fabiola Ricci* Dr. A. Edward William Benjamin Research Supervisor, Bharathidasan University, Tiruchirappalli, Tamil Nadu, India. Main study focuses the relationships between the expressive intelligence and speculative achievement among the school student. During study, Investigation way was working. Data’s were compiled and investigated by using t test and Pearson correlation. After having carefully examined, the result indicated was, and it’s a positive correlation among emotional intelligence and speculative achievement among high school students. Thus, emotional aptitude plays an important role in the speculativeattainment of the students. 12 30 2019 4804 4806 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7195.129219 https://www.ijitee.org/portfolio-item/B7195129219/ Assistant Professor, Department of Geology, Mineralogy and Petrography, Tashkent State Technical University, PhD University Street 2, Tashkent, Uzbekistan, ShermukhamedovTulkin Zakirovich* Janibekov Bobir Omonovich Assistant Professor, Department of Geology, Mineralogy and Petrography, Tashkent State Technical University, PhD University Street 2, Tashkent, Uzbekistan, Tulyaganova Nargiza Shermatovna Head of Department of Geology, Mineralogy and Petrography, Tashkent State Technical University, University Street 2, Tashkent, Uzbekistan, Rahmatullayeva Nargiza Tulkunovna Senior Lecturer Department of Ecology and Environmental Protection, Tashkent state technical university University Street 2, Tashkent, Uzbekistan, Hydrothermal mineralization in the deposit has a wide development. It occurs itself in three stages: pre-ore, ore and post-ore. In the pre-ore phase, quartz-albite-sericite-chlorite metasomatitesoccurred. In the ore stage, two stages are distinguished: the earlier quartz-pyrite-arsenopyrite stage with gold and quartz - the bleachers association. The minerals of these stages are confined to tectonic troublesome zones, zones of vein silicification, quartz and shale breccias. In the placement of products of hydrothermal metasomatism, a certain horizontal zonality is detected. There is a consistent sequential change of zones with distance from the quartz veins and faults. 12 30 2019 2828 2830 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7199.129219 https://www.ijitee.org/portfolio-item/B7199129219/ Senior Teacher and Researcher of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan. Khojiev Sh.T.* Yusupkhodjaev A.A. Professor of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan. Aribjonova D.Y. Senior Teacher and Researcher of Department “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan. Beknazarova G.B. Assistant of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan Abdullaev D.N. Master of Department of “Metallurgy”, Tashkent State Technical University, Tashkent, Uzbekistan. The article discusses the method of depletion of copper slag using local secondary technogenic formations. When performing this study, slag of secondary aluminum production was used as a reducing agent. It has been established that the developed and widely used in industry technologies for slag decontamination only partially solve the problem and lead to significant irretrievable losses of metal with dump slag. The main factors affecting the magnitude of the losses are established and suggestions for reducing their negative impact are recommended. The use of melting units in laboratory conditions is recommended, as in this case, it is possible to achieve a maximum reduction in the residual concentration of copper in the waste slag. Together, it is possible to achieve an increase in the complexity of the use of raw materials with the organization and implementation of low-waste technology. 12 30 2019 2831 2837 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7200.129219 https://www.ijitee.org/portfolio-item/B7200129219/ Computer Science & Engineering, PDACE, Kalaburagi,Karnataka, India. Shama P S* Dr.Pattan Prakash Computer Science & Engineering, PDACE, Kalaburagi,Karnataka, India In multimedia data analysis, video tagging is the most challenging and active research area. In which finding or detecting the object with the dynamic environment is most challenging. Object detection and its validation are an essential functional step in video annotation. Considering the above challenges, the proposed system designed to presents the people detection module from a complex background. Detected persons are validated for further annotation process. Using publically available dataset for module design, Viola-Jones object detection algorithm is used for person detection. Support Vector Machine (SVM) authenticate the detected object/person based on it local features using Local Binary Pattern (LBP). The performance of the proposed system presents given architecture is effectively annotating the detected people emotion. 12 30 2019 2838 2843 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7201.129219 https://www.ijitee.org/portfolio-item/B7201129219/ Mechanical Engineering Department, Gyan Ganga Institute of Technology & Sciences, Jabalpur, India. Murali Krishna.M* Dr. K.V. Subbaiah Mechanical Engineering Department, Andhra University, Visakhapatnam, India. Dr. K.Narayana Rao Mechanical Engineering Department, Government Polytechnic, Srikakulam, India. This paper uses multi criteria decision making methods to measure the performance assessment in engineering educational institutions in the state of Madhya Pradesh, India. To cater the need of technical manpower, a very large number of private engineering colleges have been established in the state of Madhya Pradesh of central India within a short span. The diminishing quality made so many engineering colleges forced towards closure is a concern in the state today. Therefore, the need for performance assessment and ranking of these engineering institutions is predominant. For the proposed framework, Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS) and Grey Relational Analysis methods are applied for performance assessment of 28 engineering educational institutions taking into account some selected criteria. 12 30 2019 2844 2855 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7202.129219 https://www.ijitee.org/portfolio-item/B7202129219/ Assistant Professor, Department of CS, T.K. Govt. Arts College, Vridhachalam, India. V. Veeramanikandan* Dr. M. Jeyakarthic Assistant Director , Tamil Virtual Academy, Chennai, India. The forecasting and investigation of finance time series data are hard, and are the most confounded works pertained with investor decision. In this paper, an economic derivative instrument for Multi Commodity Exchange (MCX) index of CRUDEOIL is estimated by utilizing forecasting models based on recently formulated artificial intelligence (AI) approaches. These approaches have been appeared to perform astoundingly well in different optimization problems. Specifically, a novel hybrid forecasting model is designed by combining the support vector machine (SVM) and grey wolf optimization (GWO) and it is named as hybrid SVM-GWO. The presented hybrid SVM-GWO model eliminates the user determined control parameter, which is needed for other AI techniques. The practicality and proficiency of the presented SVM-GWO regression method is evaluated by predicting the everyday close price of CRUDEOIL index traded in the MCX of India Limited. The exploratory outcomes depicts that the present hybrid SVM-GWO technique is viable and outperforms superior to the conventional SVM, hybrid SVM-TLBO and SVM-PSO regression models. 12 30 2019 2856 2862 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7207.129219 https://www.ijitee.org/portfolio-item/B7207129219/ Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India AjishKumar R* Jesuthanam C P Principal/Professor, Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. Shajin S Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamil nadu, India. Pratheesh J P Department of Mechanical Engineering, Narayanaguru College of Engineering, Manjalumoodu - 629151, Tamilnadu, India. The hybrid polymer was arranged by using of halloysite nano tubular particles in hand lay-up method. Natural polymer materials have nano-clay particles; the epoxy resin was a chemical reaction of bonding two materials. The polymer material and nano clay particles are bonding with the epoxy resin. The amount of benzyl peroxide-radical initiator was analyzed by X-Ray diffraction method. The polymer nano clay particle and glass fiber are reinforced with epoxy-resin hybrid composites. The weight fractions of nano clay particle are 1.5, 2.5, and 3.5 % (by weight.) and Halloysite Nano tubular (HNT) clay joined together with polymer clay. In this project work was carried out wear test, tensile Strength X-ray Diffraction and SEM. In this project work conducted by wear test by Varying the loads and percentage of nano clay particles can be studied 12 30 2019 4200 4204 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7213.129219 https://www.ijitee.org/portfolio-item/B7213129219/ Associate Professor, Symbiosis Institute of Business Management (SIBM) Survey Number 292, Off Bangalore Highway, Village: Mamidipalle, Mandal: Nandigama, District: Rangareddy, Near Hyderabad, Telangana, India Dr. Dikkatwar Ramkrishna* Dr. De Tanmoy Assistant Professor, Symbiosis Institute of Business Management (SIBM) Survey Number 292, Off Bangalore Highway, Village: Mamidipalle, Mandal: Nandigama, District: Rangareddy, Near Hyderabad, Telangana, India, Dr. Satya Prasad V K Assistant Professor, Symbiosis International (Deemed University) (SIU) Survey Number 292, Off Bangalore Highway, Village: Mamidipalle, Mandal: Nandigama, District: Rangareddy, Near Hyderabad, Telangana, India, The world of financial services is changing in ways that are more dramatic than we would have foreseen even five years ago. Taking a leaf from evolving ecosystem around mobile telephony, many financial institutions are using smart technology to remodel their branches into smarter point of sale. This has given a genesis to a terminology of “emerging distribution intermediaries” in financial services. Mutual funds (MF) being the combiner of various savings instruments are regarded as the ideal investment vehicle for today’s complex and modern financial scenario. But its penetration is poor. One of the major levers to increase penetration is innovations in distributing MF products. Considering this, Indian government & regulator have taken many policies reforms & IT initiatives towards increasing retail participation in Mutual Funds and equity markets in recent past. Through this paper, researcher has attempted to critically analyze these initiatives. Apart from highlighting various innovations in MF distributions, this paper will also highlight the present state of online Mutual Fund trading platforms. Further, the paper attempts to highlight the areas of concern, augmentation and intervention in this space. 12 30 2019 4747 4753 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7215.129219 https://www.ijitee.org/portfolio-item/B7215129219/ Dept. of Computer Engineering and Technology, Guru Nanak Dev University Amritsar, Punjab, India. Sakshi Sood* Munish Saini Assistant Professor in Department of Computer Engineering and Technology Guru nanak Dev University, Amritsar, India. Data Mining plays an important role in the Business world and it helps the educational institution to predict and make decisions related to the students’ academic status. From a large volume of data in educational databases it is difficult to predict student performance. In India currently the existing systems lack in monitoring and analyzing the students’ performance. The main reason is that the existing system has insufficient capabilities for identification of performance of the student and it also not considered all factors that affect the achievements of a student’s in the context of India. Therefore, a systematical literature review on predicting student performance by the proposed system is a web-based which makes use of the mining techniques for the extraction of useful information. This work is digging insight into the state-based and event-based approaches for predicting student performance. A Comparative analysis is conducted to suggest regression-based algorithms of state-based framework lack accuracy and correlation-based algorithms under the event-driven approach outperform classical regression algorithms. It is also concluded from pedagogical a point of view, higher engagement with social media leads to higher final grades. 12 30 2019 1509 1514 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7217.129219 https://www.ijitee.org/portfolio-item/B7217129219/ B received her BCA degree from Bishop Heber College, Bharathidasan University, Tamil Nadu, India. Ms. Viviliya* Prof. Vaidhehi V received her MSc degree from Bharathidasan University, Tamil Nadu and MPhil Degree from Kamaraj University, Tamil Nadu, India. Crop Recommendation System for agriculture is based on various input parameters. This paper proposes a hybrid model for recommending crops to south Indian states by considering various attributes. The recommender model is built as a hybrid model using the classifier algorithm such as Naive Bayes, J48 and association rules. Based on the appropriate parameters, the system will recommend the crop. Technology-based crop recommendation system for agriculture helps the farmers to increase the crop yield by recommending a suitable crop for their land with the help of geographic and the climatic parameters. The proposed hybrid recommender model is found to be effective in recommending a suitable crop. 12 30 2019 4305 4311 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7219.129219 https://www.ijitee.org/portfolio-item/B7219129219/ Assistant Professor, Dept. of Ece, Srinivasa Ramanujan Institute of Technology, Anantapur, Ap, India Karur. Saifuddin* D Sreekanth Reddy Assistant Professor, Dept. of Ece, Srinivasa Ramanujan Institute of Technology, Anantapur, Ap, India Sumitha Hari Krishnan Assistant Professor, Dept. of Ece, Srinivasa Ramanujan Institute of Technology, Anantapur, Ap, India Portray Mighty exploit adders (aside unfamiliar pretence as invite apparatus or against introduce adders) are track to crack the stroke in VLSI designs. In provincial case, this ordinance statement does howl decrypt right away into FPGA implementations befitting to chains on assertion arena configurations and routing overhead. This version preparation investigates span forms of Stand-machinery adders (Spanning tree adder and Brent-kung adder, the Kogge-Stone) and associates them to the uncomplicated a Carry Skip Adder (CSA) Ripple Carry Adder(RCA). The deception parameters steady for the comparative division of the presented adders are: the amid of logic gates, crawl run in plagiarized at the drop of a hat clog modeling in Xilinx curtailment. As a expectation, this instant affectation of alternate adders, Kogge-Stone adder and ready-made PPA effort akin to crisis slow. 12 30 2019 3964 3980 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7220.129219 https://www.ijitee.org/portfolio-item/B7220129219/ Asst. Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education and Foundation, Guntur, India. K V K V L Pavan Kumar* V S V Prabhakar Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education and Foundation, Guntur, India. B Naga Vardhan Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education and Foundation, Guntur, India. Ch Murali Krishna Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education and Foundation, Guntur, India. N S S Nandini students, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education and Foundation, Guntur, India. A comparator has been proposed using the dynamic bias concept. The proposed comparator operates on low power with minimum delay. It describes the comparison of power and delay characteristics between the dynamic bias model, elzakker circuit and two stage dynamic comparator circuits. This is achieved by enhancing the total effective transconductance with in the circuit. All these circuits were simulated at 130nm technology with a supply voltage of 1.2V. 12 30 2019 1515 1519 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7224.129219 https://www.ijitee.org/portfolio-item/B7224129219/ Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia. Bambang Leo Handoko* Andi Diana Putriani Accounting Department, Faculty of Economics and Communication, Bina Nusantara University, Jakarta, Indonesia. This research sought to analyze how audit technique applied, auditors’ ability owned, and the role of whistleblower affect the effectiveness of investigative audit implementation in fraud disclosure. The technique used for obtaining the data was purposive sampling by distributing and collecting total of 87 questionnaires to the auditors who work at State Development Audit Agency (BPKP) Representative Office of Special Capital Region of Jakarta and Indonesian Supreme Audit Institution (BPK) in Jakarta. Data collected was processed by using statistical software with the method of multiple regression analysis. The result revealed that partially, auditors’ ability and the role of whistleblower have significant effect on effectiveness of investigative audit implementation in fraud disclosure with the auditors’ ability occured to be the most dominant variable. Meanwhile, audit technique has negative effect. Silmutaneously, it was discovered that the three variables have significant influence on effectiveness of investigative audit implementation in fraud disclosure. 12 30 2019 1525 1530 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7231.129219 https://www.ijitee.org/portfolio-item/B7231129219/ Department of Mathematics, Sacred Heart College, Tirupattur, Vellore Dist., Tamil Nadu, S. India. A. George Maria Selvam* D. Vignesh Department of Mathematics, Sacred Heart College, Tirupattur, Vellore Dist., Tamil Nadu, S. India. The equations used to model a real life event is often nonlinear due to the fact that the linear terms fails to bring out various characteristics. Obtaining the exact solution of the nonlinear equation is complicated which makes one to deal with the qualitative properties of the equation. Simple Harmonic Motion (SHM) which is periodic in nature has numerous applications in clock, car shock absorbers, earth quake, heart beat etc and plays a important role in modeling the motion of a particle. In this paper, we consider a initial value discrete fractional equation. The Hyers-Ulam stability and Hyers-Ulam-Mittag-Leffler stability is established for the equation. The stability of discrete fractional simple pendulum equation is established with simulations. 12 30 2019 1531 1535 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7236.129219 https://www.ijitee.org/portfolio-item/B7236129219/ Research Scholar, Christ (Deemed to be University), Assistant Professor, Krupanidhi Degree College, Bengaluru, India. A.Fredrick Ruban* Dr. Helen Unius Backiavathy Assistant Professor of English, School of Sciences, Arts, Media and Management, Karunya Institute of Technology and Sciences, Coimbatore, India. Aesthetics studies the principles of beauty and examines the reader’s affective domain response to an object. As a philosophical approach to art and life, aesthetics has adoration for beauty as its chief value. Thus, aesthetics and beauty correspond to beget a real aesthetic resonance in poetry. Poetry and fantasy are interwoven to disseminate pulchritude in all the feasible ways through language and content. Poets have their own landscape to exhibit their alluring portraits; likewise, Ted Hughes has his own style of expressing aesthetic fantasies which have mesmerized millions of readers. The present research paper aims to explore the fantasies of Ted Hughes with reference to the poems of River. The objective of the present research paper is to elicit the alluring landscapes sketched in the selected poems of Ted Hughes’ River. Hughes is popularly designated as a nature poet and is appreciated for depicting multiple faces of nature. This research paper makes an aesthetic analysis of the selected poems of River to unveil the imbibed values of aestheticism such as ‘appreciation of nature’ and employing ‘imaginative faculty’. The selected poems for the present research are “Salmon Eggs”, “Japanese River Tales”, “Whiteness”, “Ophelia” and “Dee”. 12 30 2019 1236 1239 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7237.129219 https://www.ijitee.org/portfolio-item/B7237129219/ Department of Tax Policy and Customs Tariff Regulation, Financial University under the Government of the Russian Federation, Moscow, Russia. Lyudmila Kirina* Natalia Nazarova Department of Tax Policy and Customs Tariff Regulation, Financial University under the Government of the Russian Federation, Moscow, Russia Oksana Takhumova Department of Economic Analysis, Kuban State Agrarian University named after I.T. Trubilina, Krasnodar, Russia. Lilia Semenova "Service" Department, Don State Technical University, Rostov-on-Don, Russia. Anastasiya Goryacheva Economic Security, Accounting and Auditing Department, North Caucasus Federal University, Stavropol, Russia. The activities of the enterprise are associated with financial risks, the management of which is considered mandatory to ensure sustainable and efficient functioning. Underestimation or reassessment of financial risks can lead to financial losses; therefore, the result of the organization’s risk management depends on the quality of the financial risk assessment. The article presents: the concept of “financial risk” formulated by the authors; classification of financial transactions by risk areas; the developed methodology for assessing financial risks is presented, consisting of two successive stages (calculating the amount of damage and calculating the probability of occurrence of financial risk after identifying a risk event; the developed methodology for monitoring financial risks and calculating the residual value of financial risk is presented; the developed methods for quantitative and qualitative assessment of financial risks are presented; a methodology for determining the development of scenario analysis of financial risk assessment is presented. 12 30 2019 1540 1543 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7238.129219 https://www.ijitee.org/portfolio-item/B7238129219/ Research Scholar, EWIT, Bangalore, India Pooja Nayak S* S G Hiremath Professor and Head, Department of ECE, EWIT, Bangalore, India Arun Birader Professor, CMR University, Bangalore, India Apart from this there are many domains including medical, voice synthesis, hate speech classification and other custom applications where classification of speech plays an important role. The conventional techniques of speech processing and classification works on a small data set also provide lower accuracy of the classification. This paper introduces a learning model using neural network (NN) for the large dataset machine training and classification using critical feature analysis for the pattern of speech spectrogram and waveforms. The performance evaluation of the proposed training model for the speech classification is validated on a single CPU and found to achieve (12-82) % of accuracy in just 5-epochs and also continuously decreases the loss at successive iteration of the epochs. This method provides learning model framework for the speech processing and classification for a very large dataset. 12 30 2019 2605 2611 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7239.129219 https://www.ijitee.org/portfolio-item/B7239129219/ Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun, India. Amber Saxena* Anamika Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun, India. Bhaskar Pant Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun, India. Vikas Tripathi Department of Computer Science and Engineering, Graphic Era deemed to be University, Dehradun, India. A research paper is a rich source of academic and innovative writing on a particular topic, and they are unstructured in nature. Categorization of documents refers to classification of documents in classes that are predefined. It is arduous for a user to categories research paper in different domains: because extracting meaningful and relevant words from the research paper is a challenging task. For extracting important information we have used certain methods and classifiers. Methods like bag of words and tfidf is used for processing data. Prepossessing the data includes string tokenizing and stop-word removal. Then the processed data is classified using SVM classifier. For multiclass classification; since predefined classes are 4, therefore 1-v-r classifier is used. The system performance is 88% with 800 training and 200 testing documents. It is analyzed that the model performs better when the training data is more. The aim of this work is to categorize the documents and allocate set of predefined tag to them. It also evaluates the performance of the model by considering different percentages for training and testing sets of documents. 12 30 2019 2612 2615 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7240.129219 https://www.ijitee.org/portfolio-item/B7240129219/ Department of Computer Science & Engineering, Dr.Ambedkar Institute of Technology, Bengaluru 560056, Karnataka, India. Poornima Taranath* Sweta Das Department of Computer Science & Engineering, Dr.Ambedkar Institute of Technology, Bengaluru 560056, Karnataka, India Gowrishankar S Department of Computer Science & Engineering, Dr.Ambedkar Institute of Technology, Bengaluru 560056, Karnataka, India. The healthcare domain in India has suffered considerably despite the advancement in technology. Several financing schemes are endorsed by the insurance companies to lessen the financial burden faced by the government and people. Nonetheless, Health Insurance segment in India remains underdeveloped due to various complexities that it faces. This paper exploits a heuristic sampling approach combined with the ensemble Machine Learning algorithms on the large-scale insurance business data to realize the current shape of the Health Insurance industry in India. Through the courtesy of Data Mining and Data Analytics, it is plausible to furnish insights that assist the common people in acquiring closure that helps in the process of decision making. 12 30 2019 3065 3070 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7247.129219 https://www.ijitee.org/portfolio-item/B7247129219/ Department of Mechanical Engineering, College of Engineering, Qassim University, Saudi Arabia, Saudi Arabia. Abdulaziz S. Alaboodi* Khalid M. Algadah Department of Mechanical Engineering, College of Engineering, Qassim University, Saudi Arabia, Saudi Arabia. Anti-lock braking systems are widely used in modern vehicles and provide safe driving for many different road conditions. Tire skidding occurs unexpectedly as a result of non-linearity in the system. The system behavior can be modelled and simulated using simulation software, which would help to visualize the system behavior. It would lead to obtaining optimum brake performance as well as safe driving. Modelling and simulation methods that can be used with every component of the system are presented. A variety of simulation software has been discussed. 12 30 2019 3969 3975 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7248.129219 https://www.ijitee.org/portfolio-item/B7248129219/ Assistant Professor Department of Architecture, SPAVijaywada Dr.Prashanti Rao* Dr. I.P. Singh Associate Professor, Architecture Department National Institute of Technology, Hamirpur. Human societies are chiefly propelled by their unique culture and religious practices. An integral part of the Indian culture is working in unity with nature. This reflection is seen in a various sacred and religious beliefs, arts and crafts, folk tales, traditional practices, rituals, and in the day to day lives of the people of India from the ancient times. Nature Conservation is largely embedded in the ecosystem of Indian civilizations; which in turn is largely exhibited/displayed by their distinctive culture and religious practices. A strong credence that through thoughtful integration between communities and nature efficient ecosystem management is accomplished. Communities have always adapted themselves to better fit into the changing societal needs and thus reshaped their spatial setting. The human species, while safeguarded against environmental proximities through their unique culture and cultural practices, skill, and technology, are eventually wholly dependent on the flow of ecosystem services. The challenge faced by the present global environment is that certain traditional practices lead to downgrading of the ecosystem, while some of them play an appropriate role in advancing biodiversity and preserving the resources, thus serving societies to address the effects of climate change. India with a diverse culture of different communities satisfies the regulatory and functional aspects of nature and natural systems. This paper is intended to look into the religious and traditional aspects of Indian societies to comprehend the dynamism of cultural drivers for ecosystem change and gauge their interrelation with human behavior. The varied case studies have been reviewed by using the Millennium Ecosystem Assessment tool with an objective, that the environment can be protected by changing community behavior. These are examined by using arguments related to values, beliefs, and traditional customary laws associated with different communities across India. The analysis involves the finding of most influencing and commonly influencing factors of values among the communities by calculating and comparing mean and standard deviation for all kind of values associated with varied case study. The study reveals novel ways of integrating conventional, ecological and native wisdom into management processes of the ecosystem. The outcome of the study focuses on policy formulation through participative planning in the decision-making procedure for ecosystem management. 12 30 2019 1551 1556 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7249.129219 https://www.ijitee.org/portfolio-item/B7249129219/ School of Basic Sciences and Humanities, Vel Tech Rangarajan Dr. SagunthalaR & D Institute of Science and Technology, Chennai, India. Jagadeesan Viswanath* Swaminathan Udayabaskaran School of Basic Sciences and Humanities, Vel Tech Rangarajan Dr. SagunthalaR & D Institute of Science and Technology, Chennai, India. We consider a M /M /1 queueing model of a communication system subject to random attacks on service station. In such attack system, the time interval between any two attacks is an exponentially distributed random variable with mean1/ . When the server fails by an attack, any customer getting service at that time becomes damaged. The failed server is immediately taken for repair and the damaged customer is washed out. Customers in the queue waiting for service are not washed out. The repair time of the server undergoing repair is assumed to be an exponentially distributed random variable with mean1/ . During repair time, the customers are allowed to wait for service maintain First Come First Served order. After the completion of repair, the server returns to the work-station immediately without any delay, even if there is no customer to render service. We derive explicit form of the state probabilities of the attack system in the long run. We also obtain measures of system performance and the model is validated by a numerical illustration. 12 30 2019 2616 2621 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7252.129219 https://www.ijitee.org/portfolio-item/B7252129219/ Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Mohd Farriz Basar* Nurul Ashikin Bt Mohd Rais Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Fatin Syakira Bt Mohd Hassan Faculty of Electrical and Electronic Engineering Technology, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Khairul Anwar B Ibrahim Faculty of Electrical Engineering, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia. Kamaruzzaman B Sopian Solar Energy Research Institute, Universiti Kebangsaan Malaysia, Bangi Malaysia. The purpose of this paper is to establish a techno-economic analysis on the design of a new Z-Blade turbine focusing on problems of costing and manufacturing process which focus on a low-head and low-flow pico hydro. Pico hydro generation system with a capacity less than 5kw has been gaining increasing attention as preferred methods of clean power generation. Accordingly, the design and operating procedures as well as economic analysis for a Z-Blade reaction type turbine are described in detail. Furthermore, the constructive analysis of the literature on the simple reaction type water turbine are discuss through quantitative summarization, classification, costing and comparison. In this paper also, will re-evaluated the manufacturing process of the SRT and CPT based on techno-economic analysis and the disadvantages of both turbines are identified. Meanwhile, the additional features of Z-Blade will be investigated under low-head low-flow water resources with simple geometrical design and low fabrication cost. Ideally, this hydro generation system is inexpensive and has a simple fabrication method with costing estimation at only USD76, which comprises 7.6% of total cost of hydro-electric installation and capable of producing mechanical power up to 115W under low-head and low-flow water resources. 12 30 2019 3976 3980 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7257.129219 https://www.ijitee.org/portfolio-item/B7257129219/ Research Scholar, Department of CSE, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India. M. Purnachandra Rao* E. Srinivasa Reddy Research Supervisor, Department of CSE, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India. Noise removal from recorded EEG signal is most essential for better analysis of brain disorders. During recoding time, EEG signals are usually contaminated by various noise and distortions due to several artifacts. These noisy EEG signals may lead to wrong diagnosis of brain disorders. There are several techniques available to remove the noise from EEG signals. But these techniques are unable to remove the noise completely. However, they can minimize the noise in EEG signals so that the physicians can predict brain disorders. This work presents to minimize the noise by Discrete Wavelet Transform Methods using haar, db2, symlet and coiflet wavelets. EEG original signals from public EEG database are used for experimentation and wavelet transformations, are applied by using Matlab code. The filters performance is measured and analyzed on the basis of performance parameters like SNR and MSE which are calculated for various step sizes of signal and filter orders. Wavelet analysis techniques shows better performance when compared to others 12 30 2019 7071 3076 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7258.129219 https://www.ijitee.org/portfolio-item/B7258129219/ Doctor of Philology Sciences, Professor, Department of National Philology and Applied Communications, Cherepovets State University, Cherepovets, Russia. Elena V. Grudeva* Irina A. Buchilova PhD in Psychology Sciences, Associate Professor, Department of National Philology and Applied Communications, Cherepovets State University, Cherepovets, Russia Alina A. Diveeva Master of Philology, Post-graduate student, Department of National Philology and Applied Communications, Cherepovets State University, Cherepovets, Russia Elena M. Ivanova PhD in Philology Sciences, Associate Professor, Department of Social Communications and Media, Cherepovets State University, Cherepovets, Russia Oleg L. Selvanichev PhD in Technology Sciences, Associate Professor, Department of Mathematical and Software Computer, Cherepovets State University, Cherepovets, Russia Maxim S. Trapeznikov Student, Department of Mathematical and Software Computer, Cherepovets State University, Cherepovets, Russia The article is devoted to the development of an electronic database of speech errors of non-native speakers studying in Russian schools. The database of non-native speakers’ speech errors developed by the authors includes the following parameters: 1) name of the non-native speaker, 2) age, 3) gender, 4) native language, 5) target word / phrase, 6) context1 (context that includes an error), 7) normative spelling, 8) context2 (context with a corrected error), 9) type of text in which the error occurred, 10) category of error, 11) type of error, 12) year of the material collection. Database pattern, as well as database program, which are a client-server Web application, are presented in the article. The study involved 87 non-native speakers of 11 nationalities: Azerbaijanis (25), Uzbeks (13), Ukrainians (13), Kyrghyz (11), Armenians (11), Tajiks (5), Dargins (2), Avars (2), Talysh (2), Belarusians (2), and Vietnamese (1). The authors have collected and systematized educational written texts of 4 types (dictations, essays, summaries, and copyings) of non-native speakers studying in general education schools of the city of Cherepovets of the Vologda Region. At the moment, there are 239 texts, among which: dictations comprise 96, summary - 26, essays - 41, copying - 76. In these texts, 2039 non-normative spellings were found and qualified. The authors of the project introduced a multidimensional system for the classification of errors that were identified in the written texts of the non-native speakers. At the first level, the following types of errors were distinguished: 1) nonspelling, 2) graphic, 3) spelling, 4) lexical, and 5) grammatical. Research and educational problems that can be solved by means of this resource are considered. 12 30 2019 1557 1561 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7262.129219 https://www.ijitee.org/portfolio-item/B7262129219/ Department of Mechanical Engineering, Faculty of Engineering, Taif University, Kingdom of Saudi Arabia Hafiz Tauqeer Ali* Carbon Fiber–Reinforced Polymers (CFRP) are extremely strong and stiff. They possess high corrosion resistance and their usage increase where rigidity and high strength-to-weight ratio are needed. Therefore they have been gaining wide usage in number of applications such as aerospace, marine, defense, civil and automobile as of their greater advantages. However the performances of these composites suffer when they are exposed to adverse environmental conditions such as moisture and high temperatures. This study work has been carried out to investigate the effect of environment on carbon composites. The primary purpose of this research study is to explore the degradation of Carbon-Fiber-Reinforced Polymers CFRP composites under various environmental conditions. The environmental conditions have been limited to influence of water uptake and high temperature in this study and the effect of environmental conditions on the tensile strength and modulus of the CFRP composites. For the very purpose, laminates of IM7/977-2 are designed and manufactured. Tensile testing on dry/wet coupons under room/high temperature conditions are conducted to investigate the degradation in strength and modulus of CFRP composites. 12 30 2019 2948 2951 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7263.129219 https://www.ijitee.org/portfolio-item/B7263129219/ Department of Food Processing Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India. Gobikrishnan. S Kambhampati Vivek Department of Food Processing Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India. Balamurugan. P* Department of Food Processing Technology, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India. Indian rice dumpling is a traditionaland nutritious south Indian snack with ashorter shelf life.In the study, retort processing has been explored to increase theshelf life of the rice dumpling.Retort processingprovides microbiologically,safer products. Butthe use of high temperature for longer processing period results in loss of nutritional and sensory qualities of the rice dumpling. The main objective of the present study is to optimize the process parameters of retort processingto maintain the sterility and retain the nutritional quality of rice dumpling. The experiments weredesigned using central composite design and the optimum value for the retort processing was obtained by response surface methodology. The optimum values of retort processing temperature and time were 115°C and 25 minutes respectively. Rice dumpling produced at the optimum conditions has a shelf life of four weeks when stored at ambient temperature. The sensory analysis was done using hedonic scale, the heat penetration study was calculated by Ball’s formula. The F0 value was found to be 3 minutes. Therefore the shelf life of the Indian traditional rice dumplingcould be increased from one day to four weeks by using retort processing technique. 12 30 2019 2902 2908 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7264.129219 https://www.ijitee.org/portfolio-item/B7264129219/ Research Scholar, Department of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore, India. Ms. Sharon Sophia. J* Dr. J. Clement Sudhahar Professor in Marketing and Research, Department of Management Studies, Karunya Institute of Technology and Sciences, Coimbatore, India. Online Apparel Industry is one of the growing industries among many other online markets. The industry is moving towards a major technological shift due to new and innovative tools such as Artificial Intelligence (AI), Virtual Reality (VR) and Augmented Reality (AR). Customer Experience Management is highly influenced by gaining customer satisfaction via integrated AI technology for providing efficient customer service. This study emphasizes the intervention of AI technology with online clothing websites such as Jabong and Myntra. The findings explore that Customer Relationship Management (CRM) Services, Personalization services, Visual Assistance and Fit Intelligence Services are enhanced from AI tools that lead to Customer Satisfaction and Customer Retention. The research utilized non-probability Judgmental Sampling and snowball sampling where the respondents belong to Tamil Nadu State and were genuine online customers who purchase clothes from online clothing websites. 12 30 2019 1562 1567 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7266.129219 https://www.ijitee.org/portfolio-item/B7266129219/ Research Scholar, Banasthali Vidyapeeth Rajasthan, India. Meenu Jain* Dr. Manisha Jailia Associate Professor, Mathematics and Application Department, Rajasthan, India. This paper expounds the use of Blockchain to record marks of students as it is very tedious to record and verify candidate’s credentials for academia and employer purpose. We find it very difficult to maintain the student marks for any college or university. Any educational institution is duty bound to provide the student results at any point of time. Result of a student can be challenged at any point of time. So, any institute is supposed to store and maintain the results over a period of time. In this paper, an attempt has been made to solve some of the difficulties of students’ result management system. Now education uses Bitcoin technology to record credentials. We have used Block chain technology to record student’s achievements in a cheap, secure and public way. It is also beneficial for employer to spend valuable time checking educational credentials by having to call universities or to pay a third party to do so. In this paper, we have used ethereum as the underlying blockchain due to its large scalability and ease of use. For development, we used Truffle to develop smart contracts and integrated it with the frontend using Web3JS. For deployment, our smart contracts on the blockchain network, we have used Infura and frontend will be deployed on Heroku for user interaction. My block chain is currently on Ropsten Testnet. 12 30 2019 5082 5085 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7268.129219 https://www.ijitee.org/portfolio-item/B7268129219/ Department Of Computer Science, Shivaji University, Kolhapur, Yasir Yasir Ahmed Taha AL-Zubaidi* Hayder Kareem Al-Gabri Department Of Computer Science, Shivaji University, Kolhapur Dr.S.S. Gaikwad M.Sc.Ph.D. Sheetal Prof.(Dr.).R.K. Kamat M.Sc. ,Ph.D, Head Of Department Computer Science , Shivaji University ,Kolhapur Water is the most widely used by all the beings present in the world. Management of water is very crucial for people to organise the water resources. Now a day’s water resources are becoming more difficult to get from various sources. Water management with IOT is used in many applications such as water tanks, agriculture and other water management places to maintain the water levels constantly. Artificial Intelligence (AI) is most widely used for various types of water management resources. Many AI algorithms are used in daily life with the integration of IOT. In this paper, an Integrated Expert Water Management (IEWM) system adopted with IOT and AI algorithms are used to develop to maintain the usage of water resources in various applications. Results show the performance of the IWM. 12 30 2019 3835 3839 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7269.129219 https://www.ijitee.org/portfolio-item/B7269129219/ Professor, Department of Petroleum Engineering, Academy of Maritime Education and Training (AMET), Chennai. Dr. T. Nagalakshmi A. Sivasakthi Assistant Professor, Department of Petroleum Engineering, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Chennai. The impact of corrosion within the refining industry ends up in the failure of components. This failure leads to closing down the plant to scrub the corroded components. Additionally, corrosion normally causes serious environmental issues, namely spills and releases. A vital resource for all those that are concerned within the corrosion management of oil and gas infrastructure, corrosion management within the oil and gas industry provides engineers and designers with the tools and strategies to plan and implement comprehensive corrosion-management programs for oil and gas infrastructures. Control of corrosion is important for continuous production and evading the well control losses. Materials to be used in down hole have to meet certain characteristics to avoid corrosion and provide additional mechanical strenght. It is potential to determine a logical series of steps for material choice, incorporating analysis of the surroundings, corrosion rate calculations, and final material choice based on established limits. Several developments have taken place in refinement the calculation of CO2 corrosion rates. Moreover, the definition of bitter examination has been reviewed and a way wider evaluation of the relevance of varied established and new materials for various service conditions has been created. 12 30 2019 1568 1572 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7272.129219 https://www.ijitee.org/portfolio-item/B7272129219/ Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia Saslizawati Izam* Fazlinda Ab Halim Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia Wan Azlinda Wan Mohamed Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, Malaysia The unemployability among special education students with learning disabilities in Malaysia is seen to be alarming. Their skills often disputed by some of the community and are considered working inefficiently. Hence, this study is conducted to identify the employability skills among the learning disabilities students in Sekolah Menengah Pendidikan Khas (SMPK) Vokasional Indahpura. This quantitative study through a survey method involved 60 of the second year learning disabilities students of SMPK Vokasional Indahpura. A set of questionnaires was adapted from the Secretary's Commission on Achieving Necessary Skills (SCANS) and the General Self-Efficacy (GSE) scale to study the employability skills and self-efficacy were used as the instrument of this study. The data obtained are statistically analysed using frequency, mean, standard deviation, percentage, t-test, one-way ANOVA, and Pearson Coefficient through the Statistical Package for Social Science (SPSS) 19.0 version. The results have shown that students employability skills and self-efficacy level are moderate. There are significant differences in the students' employability skills in terms of courses attended. However, there were no significant differences in the students' employability skills in terms of career transition. The study has identified there is a strong positive relationship between students self-efficacy and employability skills. It is concluded that special education students with learning disabilities need to improve their employability skills by continuously engaging in the entrepreneurship program, community program, self quality enhancement courses as well as training at the relevant agencies to become a better person, competitive and able to serve the country 12 30 2019 2622 2629 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7278.129219 https://www.ijitee.org/portfolio-item/B7278129219/ Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor, Malaysia. Siti Salwa Abdul Mutalib* Abdul Rasid Abdul Razzaq Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor, Malaysia. Azman Hassan Department, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor. Norzella Bokhari Department, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor. Adib Farhan Zaime Department, Faculty of Technical and Vocational Education, Universiti Tun Hussein Onn, Malaysia, Johor. Homestay program is a service industry; from people to people through people. It is aimed to increase the economic income of rural areas. However, the level of homestay program competitiveness is still low due to many studies reported about the quality of service offered by the homestay operator was not at the satisfactory level. Hence, the customer’s satisfaction is very important in order to make the homestay program become successful and improve the rural area economic income. There are many studies on the service quality in the homestay sector in Malaysia but not much research focusing on service delivery which also emphasizes the quality and customer satisfaction aspect. This study is to identify the critical elements that can improve the quality of customer service in Malaysian homestay program. Therefore, this study will measure the interrater reliability of each element which the researcher has gathered from qualitative method on previous study. Fleiss’ kappa statistical method will be used to measure the four constructs of customer service; human relation, skill, knowledge and attitude. This method will measure the nine experts’ consensus and verify the critical elements of customer service in homestay program in Malaysia. The findings of this study show that from 71 elements of four constructs only one element was disagreed by two experts. In conclusions, all the experts agreed with four constructs as they believed that the constructs will improve the quality of customer service. These constructs and elements may be the guidance for the homestay operator in Malaysia in order to improve the customer service quality and foster the competitiveness of the homestay in Malaysia. 12 30 2019 4416 4420 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7282.129219 https://www.ijitee.org/portfolio-item/B7282129219/ School of Civil Engineering, SASTRA Deemed University, Thanjavur, India. Sreenath S.* Girija B. School of Civil Engineering, SASTRA Deemed University, Thanjavur, India. Saravana Raja Mohan K. School of Civil Engineering, SASTRA Deemed University, Thanjavur, India. Conventional cement based composites have constituent materials such as Portland cement, supplementary cementitious materials, fine sand, super-plasticizer and water. To achieve high performance, these composites needs high cement content in it which will cause high cost of production. Addition of supplementary cementitious materials as partial substitutes for cement will help in reducing the cost. In this study, a pre-characterized mix proportion of cementitious composite, in which 30% of cement was substituted with lime powder. To enhance the ductility of the composite, the matrix is reinforced with 2% (by volume of composite) of crimped steel fibres. Further, hybridisation of metallic and non-metallic fibres is done in this study to bring the self-weight of the mix down and to reduce the chances of degradation due to the corrosion of fibres. Fibre hybridisation was done by replacing 25%, 50%, 75% and 100% by volume of steel fibres with poly propylene (PP) fibres. The characterisation of the fibre reinforced composites was done by assessing their workability by conducting flow test, compressive strength test, split tensile strength test, flexure test and low velocity impact test. It was observed that, the mix with 100% of steel fibres replaced with PP fibres exhibited better workability. It was also observed that, compressive strength, split tensile strength, modulus of rupture and impact resistance were maximum for the mix reinforced with steel fibre alone and the strengths got reduced gradually due to hybridisation of fibres. Based on the requirement of strength, a combination of steel and PP fibres can be used for reinforcing the matrix, which will help in improving ductility, reducing self-weight. By this, the matrix can be made more resistant to corrosion and can be used in structures especially in the marine environment. 12 30 2019 1573 1579 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7272.129219 https://www.ijitee.org/portfolio-item/B7272129219/ Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. D.Chandrika Sowmini* A. Lavanya Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. D.Jagadeesh Sai Student, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. Dr.C. Raja Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. M. Aditya Assistant Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India. As innovation scaling is arriving at its points of confinement, new methodologies have been proposed for computational efficiency. Different techniques have been proposed with advancements in technology to model high-speed along with low power consumption and smaller area multipliers. For the radix-4 booth propagation algorithm for low-power and low complexity applications, an efficient approximate 8 bit redundant multiplier is used. To minimize the complication present in modified booth encoder, approximate Booth RB encoders have been introduced by modifying the truth table with incorrect bits, which resulted in a reduction of the power delay product. Approximate computing is a relevant technique for low power and high performance circuits as used in error-tolerant applications. Approximate or inexact computing is an attractive design methodology for low power design but accomplished by loosening up the necessity of precision. It becomes critical to maintain full accuracy to attain reduced power utilization. In this paper, the design of approximate redundant binary (RB) multipliers is studied and modified to build less complex multiplier with Radix-8 modified booth encoding technique to reduce area and complexities of architectures. 12 30 2019 2630 2635 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7284.129219 https://www.ijitee.org/portfolio-item/B7284129219/ Ph.D Research Scholar, Department of Computer Science, D.G. Vaishnav College, Chennai, India. Arunkumar Rajamani* Velmurugan Thambusamy Associate Professor In The PG And Research Department of Computer Science and Applications, D. G. Vaishnav College, Chennai, India. Data mining is the process of identifying patterns and their relationships to solve problems through data analysis. Data mining is utilized to haul out working information from a colossal dataset of any crude information. Environmental mining is one of the wide areas to find impact on environment. Data mining encourages the usage of essential strategies and finds noteworthy information from gigantic measure of environmental information. Data preprocessing techniques are very essential in data mining, which uses various techniques to convert the raw data into a meaningful data to further research work. In this research work, Logical Similarity Replacement (LSR) and Quantity based Discrepancy Replacement (QDR) algorithms are proposed to ascertain the quality of groundwater. The numerical information are preprocessed by the statistical techniques Mean, Median methods and non-numeric information are preprocessed by the proposed LSR and QDR methods to satisfy the fragmented and conflicting information in the dataset. The conflicting and the missing information are corrected by the picked strategies for preprocessing. In the wake of applying these preprocessing systems connected in the dataset, the nature of the informational index is improved. 12 30 2019 2636 2644 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7288.129219 https://www.ijitee.org/portfolio-item/B7288129219/ Education Qualification Master Of Technology, Rimt University, Regional Institute of Management and Technology Punjab, India. Dilsanjh Kaur* Brahmjeet Singh Professor, Head Department RIMT University Regional Institute of Management and Technology Punjab, India. Ashish Kumar Professor, RIMT University Regional Institute of Management and Technology Punjab, India. A Shear Wall Is An Upright Part Of A Seismic Strength Resisting System That Is Planned To Defend Against In-Plane Adjacent Forces, Characteristically Wind And Seismic Loads. In Many Ruled Buildings, Global Building Code And Intercontinental Residential Code Manages The Design Of Shear Walls. The Loads Of The Shear Walls Resists Loads Which Is Equal To The Plane Of The Walls. Collectors As Well Known As Drag Associates, Handover The Diaphragm Shear To Shear Walls And Other Vertical Features Of The Seismic Force Resisting Arrangement. In This Study, We Have Selected” Optimization Of The Location Shear Wall In A Multistory Building” Analysis Is Done On The Multistory Building. The Model Of Shear All N Building Is Design In The Staad Pro V8i (Series 4) Designing & Analysis Software. Then Giving It The Constrains Which Are Act On The Acting Earthquake Load And Wind Loads On Building Made Nodes Weak To Strengthen That Node We Provide The Shear Wall. After Adding Of Shear Wall On Building Into Model & Analysis It On Staad Pro In Std Format. After The Analysis Of The Location Of Shear Wall On Building It Analyzed That The Shear Wall Location In Multistory Building Providing The Strength To Weak Nodes Of Building And Helps The Building To Resist The Lateral Loads, Wind Loads And Earthquake Load Acting On Building. 12 30 2019 3981 3983 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7298.129219 https://www.ijitee.org/portfolio-item/B7298129219/ Assistant Professor(Sr.Gr), Department of ECE, Sri Ramakrishna Institute of Technology, Coimbatore, India Mr. S. Munaf* Dr. A. Bharathi Professor, Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, India Dr. A.N. Jayanthi Associate Professor, Department of ECE, Sri Ramakrishna Institute of Technology, Coimbatore, India oarse-gr ained reconfigurable architectures (CGRA) having a well-organized, more efficient configurable array of processing unit and high speed cache unit. The processing unit performs required arithmetic and logic operations. Now a day’s video processing applications power consumption plays an important role. We propose Double Data Rate Synchronous Memory architecture can address and reduce the power consumption caused by reconfiguration. An input data bits are injecting on the data bus in the interval of low to high and high low clock period. All modules have been designed and implemented in vertex using behavioral level with VHDL coding and to Simulate in Xilinx ISE navigator. 12 30 2019 4421 4424 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7299.129219 https://www.ijitee.org/portfolio-item/B7299129219/ Licenciatura en Ingeniería Informática, Universidad de Panamá, José Luis Mela Edwin Cedeño Herrera Ph.D.*, Profesor, Facultdad de Informática, Electrónica y Comunicación, Universidad de Panamá, Gloris Batista Mendoza Profesora, Facultad de Informática, Electrónica y Comunicación, Universidad de Panamá, This research work is aimed at developing a low-cost security device for intrusion remote sensing, and sends alert notifications to a cloud platform. This device is basically composed of a passive infrared sensor (PIR), an MCU ESP32 microcontroller with integrated Wi-Fi interface and a SIM800L GSM modem. The proposed device incorporates fault tolerance in communication links, integrating dual wireless communication technologies, to guarantee the sending of alerts to the cloud-based framework. The algorithm that has been designed for the microcontroller are enriched with intelligence to detect when a communication service is available or not, and choice best option between the interfaces. Moreover, the device is able to notify alerts via SMS directly to the user's mobile. This solution has proven to be effective not only in the field of security, but it also has applications in scenarios where nodes are required to acquire information from remote sites via telemetry, with guarantees on information delivery. 12 30 2019 2645 2650 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7300.129219 https://www.ijitee.org/portfolio-item/B7300129219/ Research Schalar, Department of Computer Science, Bharathiar University Arts and Science College-Modakkurichi, Erode, P. RAKKIMUTHU* Dr.M. DHARMALINGAM Assistant Professor, Department of Computer Science, Bharathiar University Arts and Science College-Modakkurichi, Erode, Tamilnadu, India, Finger-vein verification is a significant problem to be resolved in image processing because it provides high security in many practical applications. Few research works have been designed in conventional works using different machine learning techniques. However, the verification accuracy of existing algorithms was not sufficient. Also, the amount of time required for verifying the input finger vein image was more. In order to overcome such limitations, Delta Ruled Fully Recurrent Deep Learning (DRFRDL) technique is proposed. The DRFRDL technique comprises of three main layers namely input, hidden, output layer for accurate finger-vein authentication. The input layer in DRFRDL Technique takes a number of finger vein images as input and then sent it to the hidden layer. The designed DRFRDL technique used numbers of hidden layers in order to deeply examine the input finger vein images. The result of the hidden layer is feeding back into the network along with the inputs in order to find outs the vein features that exist in a given image. Followed by, the extracted vein features at hidden layers are transmitted to the output layer. In DRFRDL technique, output layer applies Gaussian activation function that calculates the features matching score via determining the association between extracted vein features and the vein features that are already stored in the database. After estimating the matching score, the output layer returns the verification result. If the output layer result is 1, then vein features are matched and the user is considered as authorized person. Otherwise, vein features are not matched and the user is considered as unauthorized person. Thus, DRFRDL technique increases the authentication performance of finger-vein with higher accuracy and minimal time. The simulation of DRFRDL Technique is conducted using metrics such as verification accuracy, verification time and false positive rate with respect to a different number of finger-vein images. The simulation results depict that the DRFRDL Technique is able to improve the accuracy and also reduces the amount of time needed for finger-vein verification when compared to state-of-the-art works. 12 30 2019 1580 1588 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7303.129219 https://www.ijitee.org/portfolio-item/B7303129219/ MIS, Business College, University of Burimi, Al Burimi, Oman. Dr.Boumedyen Shannaq* The purpose of this work is to develop a UJSON grammar for the distributed system in Telecommunication and sensor network technology. Execute continuous requests on JSON streaming data based on advanced technologies for parallel streaming computing, suitable for solving analytic problems and calculation of metrics in real-time. The developed UJSON grammars in this research work designed to filtering event flow, building an event flow as a query result, grouping and aggregation of events, and creating window semantics. For testing the proposed work, several queries were selected that implement aggregation with different types of semantic windows (Steps, Slides). Testing was done locally and on commercial hypermarket clusters. It was used 4 types of configurations 2, 4, 8, and 16 computing nodes. Based on the obtained results, scalability is noticeable with an increase in the number of nodes. The updated functions of the proposed UJSON could improve the construction of parallel flow systems and data processing. The developed approach based on modern and advanced parallel flow technologies for output calculations considering the pros and cons of various approaches found in the current era. 12 30 2019 1589 1595 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7306.129219 https://www.ijitee.org/portfolio-item/B7306129219/ Department of Computer Science & Engineering, Mandya and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. M.C. Girish Babu* Dr. M.C. Padma Department of Computer Science & Engineering, Mandya and affiliated to Visvesvaraya Technological University, Belagavi, Karnataka, India. Crop identification (CI) utilizing hyperspectral pictures/images (HSI) collected from satellite is one of the effective research area considering various agriculture related applications. Wide range of research activity is carried out and modelled in the area of crop recognition (CR) for building efficient model. Correlation filter (CF) is considered to be one of an effective method and are been applied by existing methodologies for identifying similar signal features. Nonetheless, very limited is work is carried out using CF for crop classification using hyperspectral data. Further, effective method is required that bring good tradeoffs between memory and computational overhead. The crop classification model can be improved by combining machine learning (ML) technique with CF. HSI is composed of hundreds of channels with large data dimension that gives entire information of imaging. Thus, using classification model is very useful for real-time application uses. However, the accuracy of classification task is affected as HSI is composed of high number of redundant and correlated feature sets. Along with, induce computational overhead with less benefits using redundant features. Thus, effective band selection, texture analysis, and classification method is required for accurately classifying multiple crops. This paper analyses various existing techniques for identification and classification of crops using satellite imagery detection method. Then, identify the research issues, challenges, and problems of existing model for building efficient techniques for identification and classification of crops using satellite image. Experiment are conducted on standard hyperspectral data. The result attained shows proposed model attain superior classification accuracy when compared with existing hyperspectral image classification model. 12 30 2019 5201 5208 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7311.129219 https://www.ijitee.org/portfolio-item/B7311129219/ Assistant Professor, Phd Scholar, Dept of Mechanical Engineering, SSSUTMS, Sehore, Bhopal, M.P, India SSantosh H. Pawar Dr.G.R. Selokar Registrar in SSSUTMS, Sehore ,Bhopal, M.P, India. In this paper we present an new method for optimization of robot structure for inverted operations, as rapid development is seen in the fields of robotics, robots are being designed for different operations. Robots move with higher speeds & create inertia loads, & during emergency operation there is sudden spike in load & the robot support structure needs to accommodate these loads. In this project we are analyze the robot support structure. Robot support structure means the main supportive member which is the base of the robot and it gives support as well as stabilization to the robot. 3D geometry of robot support structure is designed as per dimension in the workbench by using ANSYS 16.0. Upon applying boundary conditions such as robot weight, forces applied to his body and moments applied to the structure of the robot support. Following this, stress analysis, von-misses stress, total deformation of the structure of the robot support. 12 30 2019 1596 1600 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7312.129219 https://www.ijitee.org/portfolio-item/B7312129219/ Software Developer at Uztelecom, Tashkent University of Information Technologies (TUIT), Tashkent,Uzbekistan. Jasur Atadjanov* Bobur Atadjanov Software Developer at Uztelecom, Tashkent University of Information Technologies (TUIT), Tashkent, Uzbekistan. Shakhboz Abdulazizov Software Developer at Uztelecom, Stock Company, Bachelor of Science in Computer Science and Software Engineering from Inha University in Tashkent (IUT). Orif Makhmanov Deputy Director at the Center of Introduction and Development of Information and Communication Technologies, Tashkent, Uzbekistan. In this article, the process of semantic comparison of web pages in the global network is addressed. Comparing process is done based on set of words in text. Google Ajax Search and Yandex-API services are used to search and find web pages in global network. The local database is used for the determination of synonyms of the words. For the experiment, we took a document from Global network and its text was exchanged to synonyms and generated new document. The generated document compared with the given algorithm and it showed 90-95% similarity. The developed system with this algorithm used in Tashkent University of Information Technologies named after Muhammad Al-Khwarizmi for verifying students Graduation Qualification works for plagiarism. 12 30 2019 1601 1606 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7314.129219 https://www.ijitee.org/portfolio-item/B7314129219/ Tashkent Chemical-Technological Institute, Navai Street 32, Tashkent, Uzbekistan Sherzod Mamatov* Mirolim Aripov Tashkent chemical-technological institute, Navai Street 32, Tashkent, Uzbekistan. Ulug’bek Kadirov Tashkent Chemical-Technological Institute, Navai Street 32, Tashkent, Uzbekistan. Sadriddin Turabdjanov Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan. Ulug’bek Mannanov Tashkent State Technical University named after Islam Karimov, Tashkent, Uzbekistan. In this work experimentally investigated the drying rate of Cherry on the freeze-dryer (FD) and FD with infrared pretreatment (IR), and compared the quality characteristics of the cherry after rehydration. Results of experimental studies was determined that, the use of IR pre-treatment on the FD was much more effective. The use of IR waves showed that the drying time of cherries with IR pre-treatment is shorter than without pre-treatment. Especially, the application of IR pretreatment before freeze-drying, allows you to get quality products, and provides to reduce energy consumption by 15-17%. 12 30 2019 1628 1630 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7318.129219 https://www.ijitee.org/portfolio-item/B7318129219/ Centre of Foundation Studies, City University Malaysia, MALAYSIA,Faculty of Information and Communication Technology, UniversitiTeknikal Malaysia Melaka, MALAYSIA, Wan MohdYaakob Wan Bejuri* MohdMurtadha Mohamad School of Computing, UniversitiTeknologi Malaysia, MALAYSIA Hadri Omar Centre of Foundation Studies, City University Malaysia, MALAYSIA, Farhana Syed Omar Centre of Foundation Studies, City University Malaysia, MALAYSIA, Nurfarah Ain Limin Centre of Foundation Studies, City University Malaysia, MALAYSIA, The mobile navigation services in an obstructed area can be extremely challenging especially if the Global Positioning System (GPS) is blocked. In such conditions, users will find it difficult to navigate directly on-site. This needs to use inertial sensor in order to determine the location as standalone, low cost and ubiquity. However, the usage of accurate inertial sensor and fast localization module in the system would lead the phenomenon of sample impoverishment, which it is contribute computation burden to the system. There are different situation of the sample impoverishment, and the solution by using special strategies resampling algorithm cannot be used or fitted in different cases in altogether. Adaptations relating to particle filtering attribute need to be made to the algorithm in order to make resampling more intelligent, reliable and robust. In this paper, we are proposes a robust special strategy resampling algorithm by adapting particle filtering attribute such as; noise and particle measurement. This adaptation is used to counteract sample impoverishment in different cases in altogether. Finally, the paper presents the proposed solution can survive in three (3) types of sample impoverishment situation inside mobile computing platform. 12 30 2019 3196 3204 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7322.129219 https://www.ijitee.org/portfolio-item/B7322129219/