-74813b3e17f460286df-140d 20220525073854228 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 Civil Engineering Department, National Research Centre, Egypt(NRC). A. M. Abdel-Wahab* Most of Civil Engineering projects and Earthworks need a Digital Elevation Models (DEM), such as: infrastructure, utilities, flood hazard determination, road design, and watershed management. Furthermore, Digital Elevation Models are very important for geodetic applications and the knowledge of the earth's surface topography as well as the field of Earth sciences. In the current research work, a comparative study will be done to evaluate the accuracy come out from two available sources of DEMs. Also, this research will assess their suitability in engineering applications in the Jeddah city (KSA). Two Global DEM (GDEM) have been focused, the first one is the ASTER and the second one is SRTM3 with respect to LIDAR Data for the same regions. The current study will concentrate on the accuracy assessment of SRTM and ASTER Data in Jeddah, KSA. The obtained result from this current research (study areas of North East, Medal East and South East) of Jeddah city for ASTER data has an accuracy inversely proportional with the roughness factor. Also, the accuracy of SRTM is an inversely proportional with the roughness factor. In this context, in flat terrain the accuracy is between about 1 m to about 2.5m, and about 5m to10 m for rolling terrain. However, it's about 20m to 30 m for mountainous terrain for ASTER data. On other words, the accuracy of SRTM on flat terrain is between about 0.5 m to less than 1.8 m, and about 6.5m to10. 5 m for rolling terrain. However, it's about 23m to 30 m for mountainous terrain. Finally, the research work is obtained that, in flat terrain, the accuracy of SRTM data is less than the accuracy of ASTER data. But the comparative accuracy between them is approximately the same for rolling terrain. However, for mountainous terrain the accuracy of ASTER data is almost better than the accuracy of SRTM data. 12 30 2019 593 605 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6543.129219 https://www.ijitee.org/portfolio-item/B6543129219/ Department of Civil Engineering, RMK Engineering College, Chennai, India. Dr. S. Sudhakar* Ms. J. Shrilekha Bachelor’s Degree, Department of Civil Engineering, RMK Engineering College, Chennai, India. Ms. N. Sivagami Bachelor’s Degree, Department of Civil Engineering, RMK Engineering College, Chennai, India. Ms. P. V. Kavipriya Bachelor’s Degree, Department of Civil Engineering, RMK Engineering College, Chennai, India. Ms. S. Sowndarya Bachelor’s Degree, Department of Civil Engineering, RMK Engineering College, Chennai, India. In geotechnical engineering practice, expansive clay is widely encountered. It poses to be a serious problem especially in metropolitan areas by virtue of its low strength and high compressibility. Further, these soils undergo significant change in volume as a consequence of variation in the moisture content. Soil stabilisation is one such technique practiced to improve the shear strength and to control volume change in expansive clays. Among various stabilisation techniques, Lime has been found to be an effective stabilizer, which appreciably alters the properties of expansive clay. Further, the reaction will be very effective on the usage of nano size particles in the stabilisation of expansive clay. At the first step, the effect of lime stabilisation on geotechnical properties such as grain size distribution, index properties, compaction characteristics, differential free swell and unconfined compressive strength of expansive clay was studied by varying percentages of lime. At the second step, the effect of nano- lime on the properties of optimum soil-lime mixture was investigated. The percentage of nano- lime is varied from 0.25- 1.0% by dry weight of the soil. The measured results show that the use of nano- lime in expansive clay significantly improves its strength and reduces swell behaviour resulting in reduced pavement thickness. 12 30 2019 606 614 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6545.129219 https://www.ijitee.org/portfolio-item/B6545129219/ Computer Science And Engineering, Sathyabama Institute Of Science And Technology, (Deemed To Be University) Chennai, India. Sj Sultanuddin* Dr. Mohammed Ali Hussain Elecronics Computer Science Engineering, Kl Deemed To Be University, Guntur, Andhra Pradesh,India Mobile ad hoc network (MANET) comprises of highly dynamic mobile nodes where reliable and stable path routing is a major issue which affects uninterrupted communication. There are so many stable routing protocols are developed as a promising solution. Nevertheless, while developing stable routes energy based a vital role. This paper proposed a novel energy based stable link routing (ESLR) protocol that chooses high energy routes to create stable link communication. In our proposed technique, traffic manager elected to control the entire operation of the network. For that it observes all the activities of every single node that participating in the communication. When a node wants to send packets, the traffic manager chooses routes between the source-destination pair based on energy i.e. next forwarding link is created between the highest energy nodes. Thereby the stable links are created which can perform long-lasting communication. The proposed protocol has minimum of five routes for every single source-destination pair. So, without any delay next alternate path is selected if anyone of the intermediate node reaches its minimum energy. The simulation is performed to observe the performance of the proposed ESLR protocol. In experimental results, the observed performance of the proposed technique is compared with the existing AODVM and LSMRP protocols in terms of routing control overhead, number of route discovery and average end-to-end delay and the results are plotted. 12 30 2019 615 620 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6546.129219 https://www.ijitee.org/portfolio-item/B6546129219/ Research Scholar, Visvesvaraya Technological University, Belagavi, Karnataka, India Prabha R Mohan K G* Professor and Head, Department of CSE, Presidency University, Bengaluru, Karnataka, India The Global Positioning System is extensively used in the various context and location service-based applications. Any kind of abnormalities requires an efficient and suitable pre-processing algorithm to be implemented on the data which provides accurate results when used in the application synchronizations. This paper illustrates a framework for various pre-processing techniques applied to the real-time GPS data and its effect on trajectory mapping. The technique used includes Prioritized pattern-based, Savitzky-Golay filtering, outlier elimination, de-trending, and coefficient correlation. The performance assessment of methods discussed in this study is calculated in terms of accuracy with the original and re-created trajectory after the pre-processing and found that the best result is given by moving window method. 12 30 2019 621 623 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6554.129219 https://www.ijitee.org/portfolio-item/B6554129219/ Department of Civil Engineeering, Institute of Aeronautical Engineering, Hyderabad, India. B Suresh* N Venkat Rao Department of Civil Engineeering, Institute of Aeronautical Engineering, Hyderabad, India. Dr. Ram Mohan Rao Papolu Department of Civil Engineeering, Institute of Aeronautical Engineering, Hyderabad, India. Intelligent Transportation Systems (ITS) is a modern approach in transportation engineering and management strategies of computer science, electronics and communication as it aims to provide advanced services in various methods of transport and traffic management systems. This helps the users to make safe, smart and efficient transport networks. Intelligent Transportation Systems (ITS) has a very wide application starting from traffic management to driver operation and vehicle control systems. Due to increase in vehicle production and world population leads to demand for more parking spaces and parking facilities. This problem is arising due to gap between demand and supply of parking spaces. The basic focus of this study is how to identify the exact location for parking the vehicle with the help of Arduino IDE software program. It will address the problems effectively associated with identification of parking slots and reaching parking places in urban areas. It informs and guide drivers to find limited number of parking spaces including their price in parking zones with in a shorter duration. Infrared sensors are also used to detect car parking slot occupancy. Smart Parking System (SPS) deals with identification of empty parking space, improper parking of vehicles and show the direction towards vacant parking slots. It also deals with digital payment facility. The ultimate focus of this is to identify the availability or non-availability of parking space. 12 30 2019 5159 5162 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6558.129219 https://www.ijitee.org/portfolio-item/B6558129219/ Dean, RRSIMT Amethi, UP ,India. Chandarani Sutar* Dr. Deependra Singh Professor,EED, KNIT, Sultanpur, UP ,India. Dr. K S Verma Professor,EED, KNIT,Sultanpur,UP ,India. The global climate change and rapidly growing population over the decades are creating an enormous burden on conventional energy sources. Global environmental concern is expected for the proper planning of renewable sources to increase a positive impact on global warming. The hybrid renewable energy system is proposed for optimum sizing, costing, quality, and reliability of supply for the standalone system. This research study also includes a multi-objective optimization of the Net Present Cost (NPC)t, fuel cost, operating cost, and Cost of Energy of the hybrid system. A hybrid renewable energy system has been designed, which includes solar, wind, battery, and diesel generator for a standalone off-grid. The simulation and techno-economic analysis of case studies indicate that the hybrid system decreases the operating cost according to meteorological conditions. The employed algorithm, for power management, results in minimum use of diesel generator and a reduction in fuel cost. Furthermore, the proposed system shows better results when analyzed for Loss of power supply probability, Renewable factor, Carbon content, and Sensitivity. Thus, the proposed model proves that minimum utilization of diesel generator requires maximum utilization of renewable energy sources, thereby reducing the emission of greenhouse gases and reducing global warming. 12 30 2019 631 637 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6561.129219 https://www.ijitee.org/portfolio-item/B6561129219/ Putra Business School, Malaysia Rana Mohsin Ali* Muhammad Irfan Afzal Putra Business School, Malaysia Shakeel Ahmed Putra Business School, Malaysia Anuar Shah Bali Mahomed Faculty of Economics and Management, University Putra Malaysia Noor Ahmed Brohi Putra Business School, Malaysia This paper aims to conceptualize the relationship between Corporate Social Responsibility Practices of Multinational Companies and growth of Malaysian dairy Industry. Malaysia is a net food importer, and it has been experiencing an upward trend in dairy consumption. But Malaysia imports 95% of its milk requirements and spend a lot of revenue in importing milk and related products as there is not a considerable number of local firms or companies producing dairy products. Malaysian dairy industry depends heavily on Multinational Companies brands e.g.; Nestle, Dutch Lady, F & N. This study focuses on how dairy Multinational Companies are affecting dairy stakeholders of Malaysia; the producers, and the overall local industry. It also concentrates on the procedures and policies which are designed by these Multinational Companies for serving in host countries, specifically regarding Corporate Social Responsibility. The study deals answer that what factors are restraining Malaysian dairy industry to grow and what big Multinational Companies are earning and what are they giving back to Malaysian dairy industry. The proposed methodology for this research will be content analysis, using secondary data from Corporate Social Responsibility reports and financial statements of these Multinational Companies. 12 30 2019 638 648 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6563.129219 https://www.ijitee.org/portfolio-item/B6563129219/ Assistant Professor, CSE Department, St.Joseph’s College of Engineering, Chennai, India. S Shanthini* S Vinu Assistant Professor, CSE Department, St.Joseph’s College of Engineering, Chennai , India. Every individual host after death has its own altered micro biome configuration. After death, postmortem microorganism communities change to represent the attributes of death. The micro biome act as a many roles in human health, usually done by the exclusive lens of clinical interest. By scouring 5 anatomical areas throughout regular demise exploration from 188 case to predict the Postmortem Interval (PMI), location of death and manner of death, the postmortem micro biomes were collected. The micro biome sequencing are not easy to analyze and interpret because it produces large multidimensional dataset. To overcome the analytical challenge Machine learning method can be used. The two supervised machine learning methods employed here are Random Forest and Bias-Variance Tradeoff. In training datasets, Random forest algorithm is applied. This algorithm makes predictions by choosing the most voted node from each decision tree as the output. The output is checked for any bias variance error, by the Bias-Variance Tradeoff algorithm in order to help the supervised learning algorithm to perform generalization beyond the training datasets. To obtain a prediction that is best fitted and accurate, these two algorithms are chosen for learning. 12 30 2019 3485 3488 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6564.129219 https://www.ijitee.org/portfolio-item/B6564129219/ Department of Mathematics , Sri vidya Mandir Arts and Science college ,Uthangarai. J. Venketsan* N. Anitha Department of Mathematics, Periyar University PG Extension centre V. Lambodharan Department of Mathematics, Periyar University PG Extension centre K. Geetha Department of Mathematics ,Periyar university PG Extension cenntre ,Dharmapuri . M. Latha Department of Mathematics ,Periyar university PG Extension cenntre ,Dharmapuri Nowadays the human being of in this world with faced many troubles that can manage by theory of soft set. We can develop the analysis of medical field using fuzzy soft matrices (FSM). And apply IFSM. Here we establish the characterization of intersection and union of IIVFSM with examples. And the end, we can study about how to develop medical analysis using IIVFSM. 12 30 2019 649 652 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6568.129219 https://www.ijitee.org/portfolio-item/B6568129219/ College of software, Chungang University, Heugseoglo 84, Dongjaggu, Seoul, Korea, Jae Won Choi* Absenteeism in the workplace is a significant cause of lost productivity of the organization and the root cause of the company's performance to many employers. Managing absenteeism is inevitable, but making sudden changes without knowing the cause of the problem is a terrible mistake. This paper aims to develop a reliable workplace absenteeism prediction model using machine learning and natural language processing techniques to aid employers with analyzation of given minimal available information about the employees’ demographics. ‘Distance from residence to work,’ ‘disciplinary failure’ and ‘weight’ was negatively associated with absenteeism time in hours. ‘Age,’ ‘son,’ and ‘height’ were positively associated with absenteeism time in hours. 12 30 2019 3489 3493 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6571.129219 https://www.ijitee.org/portfolio-item/B6571129219/ School of Electrical Engineering, VIT University, Vellore, Tamil nadu, India. Deepa A* Dr.K.Sathish kumar School of Electrical Engineering, VIT University, Vellore, Tamil nadu, India. Our work provides an experimental investigation over critical inductance analysis (CIA) for fundamental Luo family converters (LFCs).It mainly concentrates on negative output superlift Luo converter (NOSLLC), positive output superlift Luo converter (POSLLC) and negative output boost converter (NOBC) which is carried out with proportional integral controller (PIC) so as to get a control over the LFC’s output voltage. Experimental investigation is performed by selecting the critical inductance of LFCs based on average inductor current as well as inductor current repletion, and then the state-space equations of LFCs are attained using the Ziegler–Nicholas tuning method. The experimental analysis provides the researchers a detailed ride over critical inductance for LFCs converters to obtain a better voltage transfer ratio, efficiency and minimised capacitor voltage as well as inductance current ripples as compared with the traditional DC–DC converters. Therefore the performance of the LFCs using PIC is verified at different states by developing both the MATLAB/Simulink and the prototype models. The results of experimental and implementations are provided to represent the importance of the CIA of LFCs with PIC. 12 30 2019 4173 4183 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6572.129219 https://www.ijitee.org/portfolio-item/B6572129219/ Assistant Professor, Dept. of CS&E , Global Academy of Technology, Bangalore, India Reshma S* Chetana Prakash Professor, Department of CS&E, B.I.E.T.,Davanagere, India Mohammed Rafi Professor, Department of CS&E, U.B.D.T.C.E, Davanagere, India Poornima B Professor, Department of IS&E, B.I.E.T.,Davanagere, India Usage and adoption of infotainment system calls for reliable and sustaining communication scheme which should offer better connectivity along with the mobility of the vehicle. Such forms of connection also demands cost effectiveness as well as error free transmission too. Review of existing scheme towards infotainment system is just in its infancy stage and there are many developments to carry forward. Therefore, this manuscript presents a discussion of a novel framework of the infotainment system that is capable of processing massive stream of data when used with the vehicular network as well as adhoc-based networks too. The idea is also to offer quality data while attempting accessing of data/services towards any critical online services. The simulated outcome of the study is analyzed in MATLAB to find that it offers better throughput and reduced delay with the increasing scope of the grid. 12 30 2019 4799 4803 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6573.129219 https://www.ijitee.org/portfolio-item/B6573129219/ Dept. of ECE, Aarupadai Veedu Institute Of Technology, Vinayaka Mission’s Research Foundation, Chennai, India L.K. Hema* Chandan. Dept. of ECE, Aarupadai Veedu Institute Of Technology, Vinayaka Mission’s Research Foundation, Chennai, India. Ram Bharadwaj Dept. of ECE, Aarupadai Veedu Institute Of Technology, Vinayaka Mission’s Research Foundation, Chennai, India. Vishwas Gowda. Dept. of ECE, Aarupadai Veedu Institute Of Technology, Vinayaka Mission’s Research Foundation, Chennai, India In the paper we would like to propose a mining monitoring system using li-fi. This system defines the safety of employee working in mining area under stimulated conditions. In any mining, establishment of strong and continuous communication between workers and sever is essential to alert them during unpredictable condition. There are many parameters like water level, emission of poisonous gases, vibration like cracks of earth core, changes in temperature, humidity changes, noise and dust, air-flow should be monitored continuously for the safety of the life working inside mining area. 12 30 2019 2723 2725 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6574.129219 https://www.ijitee.org/portfolio-item/B6574129219/ Professor, Department of ECE, G.Narayanamma Institute of Technology and Science (For Women), Hyderabad, Telangana, India Dr. P. Sudhakara Rao* Dr. A. Narmada Professor, Department of ECE, Sridevi Women’s Engineering College, Hyderabad, Telangana, India. A performance analysis of the energy efficiency of Wireless Sensor Network with different types of MIMO techniques is carried out in this paper. MIMO concept is integrated with WSN and performance of such network is analyzed and experimented in this paper with respect to different energy consumptions viz., transmit energy consumption and total energy consumption. It is concluded that WSN with BPSK-MIMO outperforms WSN with SISO. The results published in this paper show that the integration WSN with BPSK-MIMO can achieve better performance metrics. 12 30 2019 4896 4898 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6576.129219 https://www.ijitee.org/portfolio-item/B6576129219/ Tunis El Manar University, National Engineering School of Tunis, Civil Engineering Laboratory, Tunis, Tunisia Yousr Koubaa* Mehrez Jamei Tunis El Manar University, National Engineering School of Tunis, Civil Engineering Laboratory, Tunis, Tunisia This paper aims to investigate experimentally the role of the variable internal porosity on mechanical resistance and water retention curve as a main hydraulic property. The rock, object of our study, belongs to the caves of El Haouaria are located on the seacoast of the North East of Tunisia. Actually, the caves contain series of cracks with different types, which need a technical solution to improve the caves and avoid the collapse risk. This research might have the base issue of a technical solution So, experimental study include triaxial shear experiences and unconfined compression tests. These experimental tests were carried out in the laboratory by using several samples of rock. These samples are characterized by various types of porosity ranging nearly from 30% to 50% . Completely dried and different moisture water contents were first imposed on the rock samples, and then, separately, a series of tests were performed. The test results showed a significant effect of porosity on both retention water property and mechanical properties such as stiffness, compression and shear resistance. Moisture water content in the rock has an influence on its resistance and the successively imposed drying-wetting cycles was at the origin of porosity increase and consequently the environmental hydraulic were the main origin of the reduction of rock resistance. From this experimental investigation, the stability of the caves can only be studied through experiments. As shown above our work relied mainly on lab experiments. The stady of the cave stability passes necessarily by the study of the rock and the convenient improvement technique might be a solution to limit the disorders. 12 30 2019 4150 4156 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6579.129219 https://www.ijitee.org/portfolio-item/B6579129219/ School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia. Baker Albadareen* Noriszura Ismail School of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Malaysia. Kernel estimation is a commonly used method to estimate the population density in line transect sampling. In general, the classical kernel estimator of (0) X f , which is the probability density function at perpendicular distance x  0 , inclines to be underestimated. In this study, a power transformation of perpendicular distance is proposed for the kernel estimator when the shoulder condition is violated. The mathematical properties of the proposed estimator are derived. A simulation study is also carried out for comparing the proposed estimator with the classical kernel estimators. 12 30 2019 3494 3498 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6582.129219 https://www.ijitee.org/portfolio-item/B6582129219/ Department of Electronics and communication Engineering, KLEF, Vaddeswaram, India K. Prasanna Kumar* V. Venkata Prudhvi Department of Electronics and communication Engineering, KLEF, Vaddeswaram, India P. Sree Poojya Department of Electronics and communication Engineering, KLEF, Vaddeswaram, India N. Sai Soumith. Department of Electronics and communication Engineering, KLEF, Vaddeswaram, India The major considerations of any digital circuit are area and power consumption. GDI (Gate Diffusion Input) - an advanced technique is proposed for designing a circuit in order to reach the requirements, reduce power consumption, and effective utilization of area. Despite having many uses, the GDI technique is noted for some drawbacks. The principle point of this paper is to concentrate on the downsides of the existing GDI technique and to propose an improved version of GDI technique to withstand the disadvantages of the earlier one. A full adder with 2x1 MUX is designed using conventional techniques and compared their simulation results with full adder using optimized GDI technique. Simulation and analysis of the full adder are carried out using CADENCE tool at 45nm technology. Simulation results proved that the proposed design had improved the performance of GDI and reduces almost less than 50% of layout area and power consumption is only 1.5% of the power consumed using conventional technique. 12 30 2019 4184 4189 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6587.129219 https://www.ijitee.org/portfolio-item/B6587129219/ Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Uzbekistan. Mamatov Narzillo* Niyozmatova Nilufar Tashkent University Information Technologies named after Al-Kharezmi, Tashkent, Samijonov Abdurashid Bauman Moscow State Technical University, Moscow, Russia Federation. Yuldashev Zafar Tashkent University Information Technologies named after Al-Kharezmi, Tashkent Dadakhanov Musokhon Namangan State University, Namangan, Currently, the most common criteria for informative features are heuristic criteria related to assessing the separability of given classes and based on the compactness hypothesis fundamental in pattern recognition: with increasing distance between classes, their separability improves. “Good” are those signs that maximize this distance.Although heuristic criteria, although they are widely used in solving practical problems of classification, however, in theoretical terms they are little studied. 12 30 2019 3705 3708 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6590.129219 https://www.ijitee.org/portfolio-item/B6590129219/ Research Scholar, RCAS, Bharathiar University, Coimbatore, Tamilnadu. India. A. R Jayakrishnan* V. Vasanthi Assistant Professor, Dept of IT, SKASC, Coimbatore, Tamilnadu, India. Due to the superfluous growth of IoT devices in the current digital world, where lots of devices are becoming smart by being able to connect internet with many smart features, IoT devices have become the main target of cyber-attacks for the hackers these days. Since the IoT devices are very light in terms of processing power and memory, it has become an easy target for hackers to intrude in to the network easily. The file-less attacks, that usually doesn’t require any files to be downloaded and installed gets bypassed by anti-malwares. Very less effort has been put to learn the characteristics of attack patterns in IoT devices to do the research and development efforts to defend against them. This paper deep dives to understand the attacks on IoT devices in the network. HoneyNetCloud has been made with four hardware honeypots and hundred software honeypots setup that are meant to attract wide variety of attacks from the real world. Huge range of data was recorded for the span of 12 months. This study leads to multifold insights towards developing the IoT Network Forensics Methodology. 12 30 2019 3281 3288 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6591.129219 https://www.ijitee.org/portfolio-item/B6591129219/ Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Qistina Donna Lee Abdullah* Aimuni Athirah Binti Latif Faculty of Applied and Creative Arts, Universiti Malaysia Sarawak, Kota Samarahan, Malaysia. Tourism apps often try to anticipate the needs and demands of travellers to make sure it can make profit for the producer. Sometimes, collaboration between producer of tourism apps and owner of tourism organization such as, accommodation, activities, travel agency and airline play an important role to create effective apps. Apps have many benefits in developing the tourism industry in order to increase economic sector and provide travellers the best travel experience. This paper focuses on the significance of conceptual framework towards the tourism apps in influencing tourist travel experience. The finding of paper also can be used to developing new prototype of tourism apps based on tourist needs. It is to determine the independent variables, dependent variables and moderator for this study. This paper will introduce the best features to be including in tourism apps. 12 30 2019 5139 5142 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6592.129219 https://www.ijitee.org/portfolio-item/B6592129219/ School of Information Technology and Engineering, VIT Deemed to be University, Vellore, India Karan Khayani Sanchit Arora School of Information Technology and Engineering, VIT Deemed to be University, Vellore, India Mala Serene I* School of Information Technology and Engineering, VIT Deemed to be University, Vellore, India. Data Mining have always been a field and combination of both computer science and statistical knowledge. From the beginning it is used to ascertain designs, patterns and arrangements which are formed in the information pool. The motive of the data mining development is to produce useful information from the pool of raw data and convert it into useful information which can be used for future arrangements. The tools which are used in data mining are helpful in predicting the future trends and predictions across the market, which also help in decision making and building the knowledge to make decisions. The “Healthcare Industry” is generally information rich. It has been collecting data to improve the continuing problems and help to identify the solutions for that problems. Data mining techniques can be used to predict heart conditions from the voluminous and complex data which are kept by the hospitals for decision making which are difficult to analyze by outmoded methods. Unfortunately, outmoded methods are less accurate in discovering hidden information from effective decision making. Data mining helps in altering the huge amount of data into knowledge driven which takes, as compared to others, less time and effort for the prediction and with greater accuracy. Our effort is to apply different data mining techniques that are used to solve the problem of biased forecasts and decision making and help in calculating the results with more accuracy. 12 30 2019 2726 2729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6594.129219 https://www.ijitee.org/portfolio-item/B6594129219/ Assistant Professor, Department of Aeronautical Engineering MLR Institute of Technology, Dundigal, Hyderabad, Telangana, India Alka Sawale* Nayani Uday Ranjan Goud Assistant Professor, Department of Aeronautical Engineering MLR Institute of Technology, Dundigal, Hyderabad, Telangana, India. M. Srinikitha Student, Department of Aeronautical Engineering, CMRTC,Hyderabad,Telangana,India. Failure of notch occurs under the loading condition in the region where the stress distribution is disturbed. The proper study of effect of shapes and orientations of notches is imperative. The prediction of maximum stress developed at notches avoids such failures that ensure safe design of elements. The problem of stress-concentration effects, produced by holes and notches in plates under tension is, of interest to machine designers. Stress concentration is very important parameters to know where the stress is observed on object when it is subjected to different loading conditions. The evaluation of disturbances such as voids in on object increase the stresses approximately in the vicinity of discontinuity hence its effect must be accounted. In this project the experimental and FEM is applied out to find stress concentration factor considering an aluminium plate with v-notch and the final point where been similar with data. 12 30 2019 3709 3712 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6596.129219 https://www.ijitee.org/portfolio-item/B6596129219/ University Mohammed V Rabat, Morocco. Materials, Energy, Acoustics Team (Meat). Aziz Et-Tahir* Mohamed Jaouad Malzi University Mohammed V in Rabat, Morocco. Meat. Christian Boned University of Pau France, Laboratory of Complex Fluids and Their reservoirs (LFCR). Kamal Kettani University Mohammed V in Rabat, Morocco. MEAT. Abdelmajid Bybi University Mohammed V in Rabat, Morocco. MEAT. The predictive model of the viscosimetric behavior studied in this article is the self-referencing model developed in our laboratory by KANTI et al. The dominant idea of this method is to characterize the dynamic viscosity (P,T) of a fluid just knowing its viscosity at P0=0.1MPa and at a reference temperature T0 (generally ambient temperature). For this purpose, we used the database developed by us (more than 15000 experimental couples P, T of 56 references) from which we extracted 4304 viscosity values (P,T) corresponding to 1866 experimental values of pure substances and 2213 of mixtures with 216 values of petroleum cuts Our study shows that the absolute average deviation respectively for pressures ≤ 1000 bars and ≤ 5055 bars (7.3% and 10.5%) obtained for pure substances (≥6 carbons) and (6.8 and 7.5%) for mixtures is satisfactory. Moreover when coupled with mixing rules (GRUMBERG-NISSAN and KENDALL-MONROE equations) without adjustable parameters it was able to account satisfactory for the variation of the viscosity (P,T,x) of the mixtures on the simple knowledge of the viscosity of the components of the mixture considered, at reference temperature T0 and at 0.1MPa. For all the mixtures studies an absolute average deviation respectively for pressures ≤1000 bar and ≤5055 bars of 8.6% and 9.8 without binary C1+C10 and 12.5% and 13% with binary C1+C10 was observed. It should also be noted that the self-referencing method seems to be particularly interesting for the restitution of the viscosities of systems containing heavy hydrocarbons in the liquid state and finds its limits for substances on gaseous state or light hydrocarbons (<6 carbons). The method depends also on the quality of the adjustment of the coefficients. If we consider that the coefficients were initially adjusted to moderately heavy substances, it might be interesting to resume the calibration procedure by including lighter substances. 12 30 2019 3289 3297 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6599.129219 https://www.ijitee.org/portfolio-item/B6599129219/ Department of Computer Applications, Thiruvalluvar University, Gudiyattum, India S. Manikandan Dr.M. Jeyakarthic* Department of Computer and Information Sciences, Annamalai University,Chidambaram, India An efficiency capable routing and cluster group are needed for improvement that are deliberate wide toward the extending the maximizing life of wireless detector networking. A new innovative research contributes the non-linear and linear Program design constructions of these problems tracked by anticipated algorithms for identical supported Heuristic Approaches of Particle Swarm Improvement Protocol (HAPSIP). The anticipated designs are tested widely and furthermore the outcomes are contrasted with the present designs with decide their prevalence as far as system life, vitality utilization, dead deduct indicator hubs and conveyance of all information particle to the base station. The testing platform compared and implemented in MATLAB. 12 30 2019 1473 1477 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6600.129219 https://www.ijitee.org/portfolio-item/B6600129219/ Department of EEE, GMR Institute of Technology, Rajam-532127, India. T S Kishore Y Hema* Department of EEE, GMR Institute of Technology, Rajam-532127, India. S D Kaushik Department of Power Engineering, GMR Institute of Technology, Rajam-532127, India. Abstract: Electricity has a noteworthy position in our everyday life. For the reason that of the electrical supply is not up to the requirement of the power demand, some remote areas are affected. The micro grids are projected to make available power for hill area networks. Still the RES are atmospheric friendly but they generate power simply when they are available. By way of the additional rise of energy options through RES the need of non-renewable also essential for steady flow of power to the isolated networks. The diesel generators tend to be longer lasting too, offering more opportunities to meet power demand in outback locations. In this thesis a hybrid micro grid system consisting of solar, wind, fuel cell and diesel generator is modeled and simulated. The Modeling of PV array based solar power generation was implemented and the proposed model is simulated at temperature and variable irradiance. Standalone wind energy conversion systems offer a feasible solution to generate power at isolated localities where utility grid extension is not feasible. In this thesis the diesel generator comprises of diesel engine and generator is used for emergency power supply. Dynamic characteristics simulation of a proton exchange membranes fuel cell was introduced for its fast response and zero emission. The hybrid microgrid system is modelled and simulated using MATLAB/SIMULINK and the results are summarized. 12 30 2019 1799 1803 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6601.129219 https://www.ijitee.org/portfolio-item/B6601129219/ Professor & Head,Department Of Commerce, St. Peter’s Institute Of Higher Education Research, Chennai, India. Dr. N. Srividhy* Ms. R. Mahalakshmi Research Scholar, Department Of Commerce, St. Peter’s Institute Of Higher Education Research, Chennai, India. The major challenges organizations facing today’s competitive world is diversified work force and ever changing environment and technology. It is, therefore, imperative to utilize the employees ‘capabilities to the maximum possible extent to achieve individual and organizational goals. In this perspective, it has been discussed that job satisfaction and employee motivation are wide influencer of employees’ performance. Employee dedication and commitment towards work leads to improved outcomes in performance, organizational productivity and profit. Employees are more loyal and satisfied to the organization when they get recognition from their employers. The understanding of organizations on the factors satisfying employees will lead to deal with the people and get the extra ordinary results from them. The employee engagement and business performances are complimentary to each other. Higher is the employee engagement then greater the business performance. The present research makes an attempt to investigate the concept of job satisfaction and its impact on performance among the employees in the automobile industry, which is one of the key drivers that boost the economic growth of the country. In the time of recessions, the survival of the organization depends on the fully engaged employee. There is no agreement between defining the employee engagement by the earlier researchers and also its impact on job satisfaction and performance. In this concern, this study is significant in the definition of employee engagement and to find its relationship with job satisfaction and job performance in automobile industry. 12 30 2019 4725 4729 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6602.129219 https://www.ijitee.org/portfolio-item/B6602129219/ Doctor of Technical Sciences, Professor Tashkent State Technical University named after Islam Karimov Safarov Jasur Esirgapovich* Sultanova Shakhnoza Abduvaxitovna PhD, Assistant Professor Tashkent State Technical University named after Islam Karimov Dadayev Gani Toshxodjaevich PhD Tashkent State Technical University named after Islam Karimov.100095, str.2 University, Tashkent, Uzbekistan. Samandarov Doston Ishmuxammat ugli Assistant, Scientific Applicant Tashkent State Technical University named after Islam Karimov.100095, str.2 University, Tashkent, Uzbekistan. The article deals with the study of the effect of elastic waves in the primary treatment of silkworm cocoons. It was achieved the production of a quality silkworm product in the drying process at a temperature of 650C for 50 minutes, using a vibration of 1 m/s2 for 2 minutes. Based on the obtained results, it can be concluded that the proposed technology makes it possible to obtain high-quality final products for use in the textile industry. 12 30 2019 653 655 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6603.129219 https://www.ijitee.org/portfolio-item/B6603129219/ Faculty of Operations & IT ICFAI Business School (IBS), Hyderabad, India. D. Saravanan* Dater retrieval is one of the key challenging factor for today. Because of increasing the volume of data sets every year due to various factors. Information extraction in image data sets are too multifaceted compare with normal text data recovery. Image data set consist of different attributes those attribute sets are normalized before it extract from the stored data base. This required additional burden to the user who wish to extract any information from this data sets. This key challenges invite more researchers in the field of image data mining. Today many of the data sets in the form of image it gives more accurate result and more outputs. For extracting any image data image attributes are properly trained for better result. The proposed work based on grouping the data sets using image attributes. The entire process of this work divided into two major separate operations. Experiments dons against various data sets, and outputs verified proposed work gives more accurate results than the existing techniques. 12 30 2019 2735 2739 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6605.129219 https://www.ijitee.org/portfolio-item/B6605129219/ Research Scholar, Noida International University, Gr. Noida, India. Mudassir Khan* Aadarsh Malviya Assistant Prof, Noida International University, Gr. Noida, India. Mahtab Alam Associate Prof, Noida International University, Gr. Noida, India. An advanced Incremental processing technique is planned for data examination in knowledge to have the clustering results inform. Data is continuously arriving by different data generating factors like social network, online shopping, sensors, e-commerce etc. [1]. On account of this Big Data the consequences of data mining applications getting stale and neglected after some time. Cloud knowledge applications regularly perform iterative calculations (e.g., PageRank) on continuously converting datasets. Though going before trainings grow Map-Reduce aimed at productive iterative calculations, it's miles also pricey to carry out a whole new big-ruler Map-Reduce iterative task near well-timed quarter new adjustments to fundamental records sets. Our usage of MapReduce keeps running [4] scheduled a big cluster of product technologies and is incredibly walkable: an ordinary Map-Reduce computation procedure several terabytes of records arranged heaps of technologies. Processor operator locates the machine clean to apply: masses of MapReduce applications, we look at that during many instances, The differences result separate a totally little part of the data set, and the recently iteratively merged nation is very near the recently met state. I2MapReduce clustering adventures this commentary to keep re-calculated by way of beginning after the before affected national [2], and by using acting incremental up-dates on the converging information. The approach facilitates in enhancing the process successively period and decreases the jogging period of stimulating the consequences of big data. 12 30 2019 4205 4211 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6606.129219 https://www.ijitee.org/portfolio-item/B6606129219/ Ph.D Scholar, Department of Civil Engineering, JNTUA Ananthapuramu, Andhra Pradesh, India. S. Vinay Babu* Dr. N. Venkata Ramana Associate Professor, Department of Studies in Civil Engineering, VTU PG Centre, Kalaburagi, Karnataka, India. This article provides the behavior of polymer two way slab under four point concentrated loading. The slab with dimension of 600x600x75mm has been tested under simply supported condition. The slab was prepared with M20 grade concrete and this concrete mix was supplemented by 10% Bethemcharla stone powder and 10%Bisphenol-A epoxy polymer. In addition those additives steel fibers were added to the mix in the proportion of 0, 1 and 2% by volume. One more mix was cast without any additives and it considers as reference mix and used for comparison of other slabs. The slabs with additives in the mix showed superior performance in strength and stiffness characteristics. From the results it found that, the slab with 2% steel fiber showed 41.30% higher strength than the reference slab. 12 30 2019 2740 2744 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6607.129219 https://www.ijitee.org/portfolio-item/B6607129219/ Architecture Department, Covenant University, Ota, Nigeria. Foluke O. Jegede* Eziyi O. Ibem Architecture Department, Covenant University, Ota, Nigeria. Adedapo A. Oluwatayo Architecture Department, Covenant University, Ota, Nigeria The desire for security has continued to receive research attention globally. One of the critical aspects has been on how best to secure lives and property in residential neighbourhood in urban areas in the Global south. Although several approaches have been identified on how best to secure the home environment, less research attention has been given to the how maintenance practices can enhance security of lives and property in mass housing environments. This study investigated the influence of building maintenance practices on security of lives and property, using the Lagos State Development and Property Corporation (LSDPC) housing estates as case study. Household survey involving 1036 residents in 14 housing estates was conducted in the study area using questionnaire as the data collection instrument. The data were analysed using descriptive statistics and categorical regression analysis. The result shows that spaces and components of the buildings under the control of individuals and/or households were more frequently maintained than those jointly used spaces. The pruning of flowers and trees, replacement of damaged doors in the buildings and sweeping of open spaces emerged as the top three maintenance practices with the most significant influence on the residents’ perception of security of lives and property in the estates. The study implies that maintenance activities should be focused on these three aspects with more attention given to jointly owned and used spaces and facilities if security of lives and property is to be achieved in mass housing environments. 12 30 2019 2745 2751 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6610.129219 https://www.ijitee.org/portfolio-item/B6610129219/ Research Scholar, Department of CSE, Noorul Islam Center for Higher Education Kumarakovil, India. Basil Baby* Dr. R Suji Pramila Associate Professor, Department of CSE, Noorul Islam Center for Higher Education Kumarakovil, India. The technology behind Mobile Adhoc Network is growing day by day. This growth is triggered by the needs of the society and it remarks the influence and usage of MANET around the world. Due to the flexibility, scalability and ease of use, MANET has become a part of everyone’s life. So researches are carried out with a sole aim to maximize the throughput. There are many aspects to be covered to improve MANET performance which includes routing, energy usage, bandwidth usage, mobility management etc… Researchers try to bring better performance by tuning the above parameters to an optimal condition so as to bring an overall balance. Management of energy and its conservation by optimization is a critical issue to be addressed in MANET. This paper introduces a novel approach in MANET routing which enables better energy management during data exchange. This method uses a new paradigm which will provide Multi Stage Indexed Energy Conserving Routing in MANET (MSPIEC routing). MSPIEC routing identifies the overall energy equilibrium of the MANET during route discovery, and based on the statistics the data exchange will be carried out. Since MSPIEC routing has the data on energy equilibrium, more data will be passed through healthy routes and less data will be assigned through weaker paths, so that the entire data transfer will be balanced as a whole. 12 30 2019 2752 2757 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6613.129219 https://www.ijitee.org/portfolio-item/B6613129219/ M-Tech Scholar, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India. N. Omprakash Reddy* Atulkumar Manchalwar Associate Professor, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India. This study is an attempt to evaluate the effects of blast induced vibrations and seismic ground vibrations on reinforced concrete structure equipped with X-plate dampers and also to study the response of structure against blast and seismic vibration which can be reduced by employing protective systems such as dampers. Moment-resisting RC frame buildings were analysed to evaluate the structural responses under dynamic excitations. Non-linear Time-history analysis has been conducted on reinforced concrete structures. The ground accelerations were analytically determined and model was created in SAP2000. 12 30 2019 2758 2762 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B6614.129219 https://www.ijitee.org/portfolio-item/B6614129219/