-4d90550d17f4602e089-7e9d 20220302071741146 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 09 30 2020 9 11 Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu, India. Santhosh* K. Thinakaran Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Tamil Nadu, India. The ubiquitous computing environment has increased interest in IoT technology. As IoT has open characteristics in the fields of industry, increased accessibility has raised the possibility of threats. As the IoT network was small on scale, there was risk of security. IoT development brought the network environment by combining networks, therefore risk of security attack compared to small network. The response time while operating IoT devices to detect intrusion through hacking, the artificial neural network responses using mobile devices. This process help to deal with hacking. By detecting virus in real time, this process help to prevent intrusion. As IoT security risks, we suggested an intrusion detection system using artificial neural network model in this study. The system which is developed in this can be adjusted to fit situations of IoT by facilitating modification of critical values. The research which detects anomaly through the response to be used for information security system which utilize IoT . 09 30 2020 5 10 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.D1799.0991120 https://www.ijitee.org/portfolio-item/D1799029420/ Lecturer, Department of Electrical Engineering, Government Polytechnic, Visakhapatnam, (A.P.), India. C. Durga Prasad* Dr. G.V. Siva Krishna Rao Professor and H.O.D., Department of Electrical Engineering, College of Engineering (A), Andhra University Visakhapatnam, (A.P.), India. The solution of Economic Load Dispatch (ELD) problem is to allocate the total load demand to committed generating units with an objective to minimize the operating cost without violating the unit and system constraints. The growing power demand, atmospheric pollution and increased population makes it essential to invent a new power system with low pollution and transmission losses. The growing price and limited availability of fossil fuels makes installation of conventional power plants uneconomical. Installation of non-conventional power plants like roof top solar plants is essential to meet the increased load demand and environmental pollution standards. The output of roof top solar systems is intermittent because it depend on atmospheric conditions. To find a solution to economic load dispatch of distributed generation system (ELDDGS) with roof top solar plants is a difficult problem because of its intermittent and scattered nature. This paper will explain a solution to economic load dispatch of a distributed generation system using pattern search algorithm. 09 30 2020 1 4 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B7755.0991120 https://www.ijitee.org/portfolio-item/B7755129219/ Andhra University College Visakhapatnam, India. Nalini Arasavali* Dr. Sasibhushanarao gottapu Andhra University College Visakhapatnam, India. A possibility of utilizing the Global Positioning System (GPS) depends on the positioning accuracy. Two decisive factors of position accuracy are User Range Error (URE) value and dimensionless Dilution of Precision (DOP), related to number of visible satellites. Several error modeling and correction techniques are available to improve the accuracy by optimizing the errors. While finding the GDOP at every instant, satellite selection plays predominant role. Satellite geometry with more satellites gives the good GDOP. However, due to limited receiver tracking channels and smaller size memories and other problems, it may not be possible to use all satellites in view for positioning. In GPS navigation, position of user requires minimum of four visible satellites. The selection of four satellites has a considerable impact on the position accuracy and GDOP shows the order of this impact. By using the concept of relation between GDOP and volume of tetrahedron optimal four satellites are selected to improve the position accuracy. Genetic Algorithm is used to select best ten combinations based on GDOP. For experimental validation the data collected at Andhra University, Visakhapatnam, located at (706970.9093, 6035941.0226, 1930009.5821) (m) is used. It is observed that selected satellites which are arranged in tetrahedron by following the work done by M Kihara on satellite selection method and accuracy for the GPS, using GA gives the best position values. 09 30 2020 60 65 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.E2963.0991120 https://www.ijitee.org/portfolio-item/E2963039520/ Faculty of Design and Architecture, Universiti Putra Malaysia/ Selangor, Malaysia Mustafa Fawaz Rahinah Ibrahim* Faculty of Design and Architecture, Universiti Putra Malaysia/ Selangor, Malaysia Maszura Abdul Ghafar Faculty of Design and Architecture, Universiti Putra Malaysia/ Selangor, Malaysia. Ali Rashidi School of Engineering, Monash University Malaysia. Selangor Darul Ehsan, Malaysia The Malaysian government has been promoting the use of industrialized building system (IBS) and Building Information Modeling (BIM) in the Productivity Thrust of the Construction Industry Transformation Program CITP2016-2020. However, the rate of BIM adaptation is hampered when the AEC industry still relies very much on traditional drawings and management practices. The clash management becomes one of the major problems affecting 25%-30% of contract value and 10% project cost. This study is part of a larger study aiming to propose an automated clash management system that supports integration of local IBS products in a BIM process. This paper reports the documentation of the underlying traditional practices for clash detection and resolution in industrialized projects. This study used case study research methodology involving a design-build construction team of an industrialized hospital project. In-depth interviews were conducted on the management team including the project manager, the architect, the coordinating engineer, and the quantity surveyor. Inductive logic approach was used to collect and analyze the data for this study. Results include documentation of the clash detection until resolution of management decision process through distinctive clash lifecycle phases including the sequential activities of the project management team and the criteria for decision-making. These results are expected to contribute towards proposing a technology-based clash management framework that would support the development of an automated clash management system. This paper extends the Discontinuity-in-Organization theory for supporting knowledge transfers in complex lifecycle process. 09 30 2020 251 257 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.G5339.0991120 https://www.ijitee.org/portfolio-item/G5339059720/ Department of Computer Science, Jaipur Engineer-ing College and Research Centre, Jaipur, India. Harshit Mathur* Aditya Surana Department of Computer Science, Jaipur Engineering College and Research Centre, Jaipur, India. Glass Industry is considered one of the most im-portant industries in the world. The Glass is used everywhere, from water bottles to X-Ray and Gamma Rays protection. This is a non-crystalline, amorphous solid that is most often transparent. There are lots of uses of glass, and during investigation in a crime scene, the investigators need to know what is type of glass in a scene. To find out the type of glass, we will use the online dataset and machine learning to solve the above problem. We will be using ML algorithms such as Artificial Neural Network (ANN), K-nearest neighbors (KNN) algorithm, Support Vector Machine (SVM) algorithm, Random Forest algorithm, and Lo-gistic Regression algorithm. By comparing all the algorithm Ran-dom Forest did the best in glass classification. 09 30 2020 139 142 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.H6819.0991120 https://www.ijitee.org/portfolio-item/H6819069820/ Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Abhijit Kocharekar* Bharat Nemade Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Chetan Patil Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Durgesh Sapkale Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Prof. Sagar Salunke Department of Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, India. Precise projections of future events are crucial in many areas, one of which is the tourism sector. Usually counter-trials and towns spend a enormous quantity of cash in planning and preparation to accommodate (and benefit) visitors. Precisely predicting the amount of visits in the days or months, that follow would benefit the economy and tourists both. Previous studies in this field investigate predictions for a nation as a whole rather than for fine-grained fields within a nation. Weather forecasting has drawn the attention of many scientists from distinct research communities due to its impact on human life globally. The developing deep learning methods coupled with the wide accessibility of huge weather observation data and the advancement of machine learning algorithms has motivated many scientists to investigate hidden hierarchical patterns for weather forecasting in large amounts of weather data over the previous century. To predict climate information accurately, heavy statistical algorithms are used on the big quantity of historical information. Time series Analysis enables us know the fundamental forces leading to a specific trend in time series data points and enables us to predict and monitor information points by fitting suitable models into them. In this study, Holt-Winter model is used for predicting time series. The forecasting algorithm for Holt-Winters enables users to construct a time series and then use that data to forecast interest areas. Exponential smoothing allocates weights and their respective values against past data to decrease exponentially, to decrease the weight value for older data. 09 30 2020 406 412 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7003.0991120 https://www.ijitee.org/portfolio-item/I7003079920/ Research Scholar, Department of Mechanical Engineering, MMDU Mullana, Haryana, India. Ashwani Sharma* Bikram Jit Singh Professor, Department of Mechanical Engineering, MMDU Mullana, Haryana, India. The new economy has seen tremendous strides since its early appearance at the onset of the industrial revolution in the 18th century. For decades, much of the items, including guns, tools, food, clothes, and homes, have been crafted or used from work by animals. This improved in the late 18th century with the introduction of the industrial methods. Industry 1.0's development was then a quick uphill climb leading up to the next manufacturing age – fourth Era. The summary of this evolution will be discussed here. This article takes a theoretical approach to looking at Business 4.0 as the Fourth generation. The study identifies three key elements of each transformation to deepen understanding of the phenomenon: technological, economic and demographic changes. In Business 4.0, Public Use Technology (PUT), Extreme competition and ageing demographics will allow the expansion quicker and broader. Although advances in Business 4.0 are more evaluative than transformative, their mixture and the context in which they develop forecast significant economic and social impacts that will in turn constitute a revolution. 09 30 2020 66 73 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7144.0991120 https://www.ijitee.org/portfolio-item/I7144079920/ School of Computing Science & Engineering Galgotias University Yamuna Expressway, Greater Noida, Gautam Buddh Nagar, Uttar Pradesh, India Sakshi Raj* Miss Swati Sharma Assistant Professor, School of Computing Science & Engineering Galgotias University Yamuna Expressway, Greater Noida, Gautam Buddh Nagar, Uttar Pradesh, India Today, data is constantly increasing and it becomes very hard to handled data skilfully in the usual way. It is also quite expensive, unproductive and very hard to manage data. That's the reason why the super-important technologies are entering in the work place. In the medical field data is increasing day by day and it becomes very hard to manage, analysis and store data in paper pen work. Recent, big data technology, plays major role in the management, organization and analysis of data. Big data technology has been applied towards improving patient profile of care delivery. Biomedical image, generating each day in huge number can be analyzed better with big data technology along with machine learning and artificial intelligence.Research rate in this field has the potential to provide meaningful result in identification of diseases. Change in DNA can predict many future chronic disease. Research also demanded useful, updated, and accurate data. . It becomes possible for public to identify their health risk by their own. 09 30 2020 317 319 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I7304.0991120 https://www.ijitee.org/portfolio-item/I7304079920/ mansion host Shand house, 20 Newport Road, Cardiff, UK Shayan Kako* Nowadays, biotechnology of medicinal plants is a modern sub-branch of biotechnology and pharmacy that has gradually become the focus of attention of pharmaceutical and traditional medicine specialists which results to major changes and jumps in production of science. Since herbal medicine is one of the oldest therapies in Middle East and Chinese tradition, herbal medicines, owing to less side effect levels compared to chemical treatments, have long been used for preventative and therapeutic treatment, as well as the attention of medical professionals. Herbal medicine is totally based on plant parts like roots, leaves, etc., there are various manners of using herbals in different traditions such as soaking into the water, boiling, chewing, etc.. The present study intends to investigate the effect of ginger hydro alcoholic extract on kidney stone (oxalate type). [1] We initially divided the rats into five groups which includes control group, 2 doses of Ginger extract, treating by regular medication and not treating. By injecting peritoneal of sodium oxalate solution to the rats after about 7 to 10 days, and by observing the oxalate crystals in the urine samples taken from the kidneys and physical signs of kidney stones like decrease in volume of urine, Zingiber officinalis rhizome, which was used as a herbal remedy, was extracted and injected into the rats with different doses. As results of injection on a regular basis, we observed treatment in rats with kidney stone. According to the dosage, the pace of treatment was different in samples. So, low dose can be used for minor problem in a long term and high dose can be use for major level of kidney stone which is working more efficiently with a higher speed of treatment. [2],[3] 09 30 2020 279 284 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.I8083.0991120 https://www.ijitee.org/portfolio-item/I8083078919/ Department of Computer Science& Engineering, Jamia Hamdard, Delhi, India. Tarek Husein* Aqeel Khalique* Department of Computer Science& Engineering, Jamia Hamdard, Delhi, India. M. Afshar Alam Department of Computer Science& Engineering, Jamia Hamdard, Delhi, India. Bhavya Alankar Department of Computer Science& Engineering, Jamia Hamdard, Delhi, India. Fog computing brings cloud services closer to the network’s Edge. Despite various applications in today’s world, these applications lack in data security aspects. Developers have few solutions that need to be tested thoroughly. Data encipherment is one of the most popular mechanisms to protect data confidentiality, data integrity, etc. We propose two steps flexible dynamic scalable model in which the system will dynamically choose an encryption mechanism depending on the access frequency of data being encrypted. If data is frequently accessed, then the model will choose the algorithm with minimum computational complexity. In next step, model will use a scalable approach to decide the security strength needed by determining size of encryption key. A longer key will be used to encrypt more sensitive and secretive data automatically by security model and a smaller key will be used to encrypt public data or less sensitive, saving the fog node from computation overload. Our model is more secure and dynamic in nature with scalable security strength. 09 30 2020 413 418 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7310.0991120 https://www.ijitee.org/portfolio-item/J73100891020/ Department of Computer Science, Anna University, Chennai, India. Ms. Srilakshmi Ch* Mr. Kishore. M Student, Department of Computer Science, RMD Engineering College. Tamil Nadu, India. Mr. Deva C Student, Department of Computer Science, RMD Engineering College. Tamil Nadu, India. Mr. Ajay Amarnath R Student, Department of Computer Science, RMD Engineering College. Tamil Nadu, India. Parkinson’s malady is the most current neurodegenerative disorder poignant quite ten million folks across the world. There's no single test at which may be administered for diagnosis Parkinson’s malady. Our aim is to analyze machine learning based mostly techniques for Parkinson malady identification in patients. Our machine learning-based technique is employed to accurately predict the malady by speech and handwriting patterns of humans and by predicting leads to the shape of best accuracy and in addition compare the performance of assorted machine learning algorithms from the given hospital dataset with analysis and classification report and additionally determine the result and prove against with best accuracy and exactness, Recall ,F1 Score specificity and sensitivity. 09 30 2020 11 15 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7434.0991120 https://www.ijitee.org/portfolio-item/J74340891020/ Associate Professor, Department of Civil Engineering Chitkara University, Himachal Pradesh, India. C. Prakasam* Saravanan R Research Scholar, Department of Civil Engineering Chitkara University, Himachal Pradesh, India. Varinder S Kanwar Professor, Department of Civil Engineering Chitkara University, Himachal Pradesh, India. M.K. Sharma Scientist –E Environmental Hydrology Division, National Institute of Hydrology, Uttarakhand, India. Monika Sharma State Project Officer Department of Environment Science and Technology, Himachal Pradesh, India. Hydropower is one of the prominent sources of electricity and renewable. It is also one of the key sources of economic growth for the Himachal Pradesh state. With the idea of an increase in hydropower projects increase the economy, the state is building more hydropower projects. The construction of hydropower projects has a significant impact on the environment both positive and negative. This work focuses on assessing the environmental changes in the Pandoh hydropower project’s basin in terms of sufficiency of the environmental flow for the sustenance of agriculture’s health and vegetation. Pandoh hydropower project was established in 1977 in the Mandi District, Himachal Pradesh producing up to 990 MW. It is situated along the downstream side of the Larji hydropower project and sources of water are the releases from the Larji reservoir. It is also a source for the Dehar hydropower project downstream to the Pandoh dam. The assessment has been done using the Normalized Difference Vegetation Index and Land Use Land Cover Change. The analysis is carried out for two periods, healthy (August to October) and lean period (November to February), that too before and after the construction of the dam. The results show that the impact prevails in the study area with a decrease in agricultural land and an increase in urbanization. 09 30 2020 16 20 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7559.0991120 https://www.ijitee.org/portfolio-item/J75590891020/ PhD student Energy, National School of Engineering of Gabes, Gabes University, Road Omar ibn el khatteb, Gabes,Tunisia Rihab Elassoued* Romdhane Ben Slama Professor, Energy, National School of Engineering of Gabes, Gabes University, Road Omar An experimental study was carried out under climatic conditions of Gabes, Tunisia to evaluate the thermal performance of four innovative materials (sand, clay, concrete, PCM) as storage meduim integrated in a solar water heater. The four solar water heaters prototypes are realized then installed on site. The parameters followed in this study are the outlet water and the ambient temperature and the solar flux received according to two different inclinaison angle. A various temperature and thermal performance curves show the experimental results obtained during the measurement day (summer period). The vertical position of the solar collector shows positive results that ensure the hot water needs in the winter and avoid the overheating in the summer. All tested materials give an acceptable thermal effeciencies above 50% similar to that of the conventional system and reach a high water temperature value of 80°C. More than their thermal performance, clay and concrete have other advantages. Clay can be recycled and concrete can be integrated into the facades of a building. Whence, this investigation proves that the thermal storage materials tested during this work present a promising alternative offering the simplicity of manufacture and using low cost, local and available materials. 09 30 2020 199 205 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7567.0991120 https://www.ijitee.org/portfolio-item/J75670891020/ Department of Information Technology, Bapatla Engineering College, Guntur, India. Krishnaiah Boyana* Dr. Venkateswara Rao Gurrala Department of Information Technology, GIT, Gitam Deemed to be University Visakhapatnam, India. Bhaskar Rao Koutharapu Department of Information Technology, Bapatla Engineering College, Guntur, India. Ratna Prakash pedapudi Department of Information Technology, Bapatla Engineering College, Guntur, India. SK. Mabasha Department of Information Technology, Bapatla Engineering College, Guntur, India. In modern days, feeling exposure is a ground of curiosity and is used in fields such as cross-examining prisoners and teenagers observing human-computer relations. The anticipated work designates the exposure of mortal sentiments from an instantaneous video or stationary video with the help of a convolution neural network (CNN) and haar cascade algorithm. The foremost part of the announcement constitutes field appearance. The suggested work aims to categorize a given video or a live video into one of the emotions (natural, angry, happy, fearful, disgusted, sad, surprise). Our work also distinguishes multiple faces from live video and organize their emotions. Our recommended work also imprisonments the pictures from the video every second, hoard them into a file, and generates a video from those pictures along with their respective. 09 30 2020 74 77 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7576.0991120 https://www.ijitee.org/portfolio-item/J75760891020/ Associate Professor, Department of Mechanical Engineering, Manakula Vinayagar Institute of Technology, Pondicherry, India. P. Sivasankaran* R. Karthikeyan Assistant Professor, Department of Mechanical Engineering ,Manakula Vinayagar Institute Of Technology, Pondicherry , India. In the developing modern condition profitability plays a significant significance in the present serious world. Presently day's enterprises are tuned towards utilization of current mechanical apparatuses and procedures so as to show their advancement as far as upgraded productivity and adequacy in the work. At the point when the progression of mechanical autonomy came in the modern field parcel of changes happens in the framework directly from material dealing with to creation of completed items. Robot helps human culture from multiple points of view with the goal that human exertion is diminished to the base conceivable degree. Mechanization guarantees wellbeing to the workplace additionally the people groups in the earth. Subsequently in this examination work endeavor has been made to investigate the commonsense imperatives of mechanical movement kinematics in the work place utilizing recreation programming to be specific ROBO DK (Automation process test system). 09 30 2020 21 27 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7588.0991120 https://www.ijitee.org/portfolio-item/J75880891020/ Department of Biomedical Engineering, AVIT, Chennai, India. R. Sandhiya* Santhoshini Arulvallal Department of Biomedical Engineering, AVIT, Chennai, India. Lakshmi Shree. B Department of Biomedical Engineering, AVIT, Chennai, India. D. Dhina Department of Biomedical Engineering, AVIT, Chennai, India Fire is a procedure of ignition that brings calamity. It becomes unsafe when fire loses control and spreads out. The fire detection becomes more and more important with the rapid development of image and video processing, the fire detection technology based on video processing is becoming the focal point of some research due to its advantages of high intuitive, speed and anti-jamming capability. This method uses colour and motion information extracted from video sequences to detect fire. It can work both indoor and outdoor environments. Moreover, it detects fire at the beginning of the burning process. The method performs the region growing segmentation to identify colour pixels in the scene and then identify moving pixels based on the ratio of height and width of suspected fire region. This method can get low false alarm rate by eliminating the fire-like colours because it just needs a fire pixel as the seed pixel. 09 30 2020 143 149 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7606.0991120 https://www.ijitee.org/portfolio-item/J76060891020/ Department of Biomedical Engineering, AVIT, Chennai, India. R. Sandhiya* Santhoshini Arulvallal Department of Biomedical Engineering, AVIT, Chennai, India. Lakshmi Shree. B Department of Biomedical Engineering, AVIT, Chennai, India. With the advances in electronics and control software, robotic arms are now capable of quick and accurate movement under a wide range of conditions. Robotic surgery has become the most important field of general surgery. This rapid progress is quantitative and qualitative .The common procedures performed in Robotic Field and the future advancements are being discussed in this paper. Along with the existing system of Robotic surgery the advanced instruments and the future possibilities are being discussed. This project will help to solve the existing problems in robotic surgery even in other additional fields. Now a days the limitations of WiFi has reduced the usage in medical field especially. Therefore a LiFi based system will enable to overcome the limitations of Wi-Fi. A continuous monitoring of the vital parameters of the body like temperature, pulse rate and glucose level is also required. Regular interval of time measuring the intensive parameter of the patient’s health with a low cost micro controller and intelligent LiFi based advanced patient monitoring system is developed and if any abnormal condition occurs, it directly sends a message to the doctor’s base station machine via Li-If that particular word no’s particular parameter is out of the range. Doctor can do the fast assessment of the patient’s health without wasting the time with the help of an alert message. 09 30 2020 150 153 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7608.0991120 https://www.ijitee.org/portfolio-item/J76080891020/ Department of Communication Technology and Network, University Putra Malaysia, Serdang, Malaysia. Daniel José Franco* Abdullah Muhammed* Department of Communication Technology and Network, University Putra Malaysia, Serdang, Malaysia. Shamala K. Subramaniam Department of Communication Technology and Network, University Putra Malaysia, Serdang, Malaysia. Azizol Abdullah Department of Communication Technology and Network, University Putra Malaysia, Serdang, Malaysia. Attackers, spread all around the world, have become a major threat to SCADA systems, since they started using opened-standard networks, integrated to corporate networks and accessing the Internet. It is true that there are also many different security solutions and techniques available, such as firewalls, encryption, network traffic analysis and a few others, though, intruders still managed to gain access and control delicate systems. Pointed as a non-invasive solution, intrusion detection systems (IDS) are able to monitor and report activities of any anomaly or strange patterns. However, due to the lack of SCADA network traffic data, such IDS solutions are still primitive and based on just well-known vulnerabilities and attacks, where a dedicated IDS is necessary to properly protect SCADA in water distribution systems. This study highlights SCADA vulnerabilities and security issues, through a qualitative approach, using known attacks and examples in security as case studies and aiming to present scenarios on this issue, as well, an overview of today’s SCADA vulnerabilities and main threats. Results show that the identification of Intrusion Detection Systems (IDS), with their approaches and types, also widely implemented in regular IT networks, help on providing a higher security level and identifying abnormal traffic data. Such systems have indeed shown a good success rate on identifying malicious traffic in SCADA networks, mainly because of their evolution to Ethernet and open communication protocols. Based on these singular characteristics, studying SCADA networks and their communication protocols is seen as a major factor to properly develop robust security mechanisms and tolls. 09 30 2020 258 264 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J7634.0991120 https://www.ijitee.org/portfolio-item/J76340891020/ Department of Civil Engineering, Taif University, Taif City, Saudi Arabia. Abdulrazak H. Almaliki* Heavy rainstorms are common occurrences in the Western mountainous region of Saudi Arabia that results in hazardous floods damaging the infrastructure and development plans. Severe rainstorms and heavy showers cause instant flash floods that result in major damage of properties and loss of human lives. Therefore, it becomes crucial during the development planning that floods are accurately analyzed. For the calculation and spatial mapping of flood features, an integrated remote sensing and GIS methodology has been formed. This new methodology makes use of various landscape, metrological, geological, and land use datasets in a GIS environment by employing the technique of Curve Number (CN) of flood modeling for unrestricted dry catchments. The prediction of rainfall depths for 50 and 100-years are 73.6 and 82.3 mm respectively. 4.3679 and 8.0605 million cubic meters are the flood volumes for 50- and 100-year return periods. Moreover, the flood’s statistical data like the depth and volume of runoff is added in GIS layers’ attribute tables so that all results are collected in the same environment. The application of advanced methodology aids in providing exact estimations and digital results. Moreover, it is economical and can be re-operated in different circumstances as well. 09 30 2020 78 84 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.J9406.0991120 https://www.ijitee.org/portfolio-item/J94060881019/ Agni College of Technology, Chennai, India Thiyagarajan A.* Murukesh C. Velammal Engineering College, Chennai, India. The various hurdles in machine learning are beaten by deep learning techniques and then the deep learning has gradually become preeminent in artificial intelligence. Deep learning uses neural networks to kindle decisions like humans. Deep learning flourished as an energetic approach and clarity marked its success in various domains. The study includes some dominant deep learning algorithms such as convolution neural network, fully convolutional network, autoencoder, and deep belief network to analyze the medical image and to detect and diagnose of cancer at an early stage. As early as the detection of cancer than to treat the disease is uncomplicated. Early diagnosis was particularly relevant for some cancers such as breast, skin, colon, and rectum, which prohibit the chance to grow and spread. Deep learning contributes to enhanced performance and better prediction in detection of cancer with medical images. The paper presents the study of a few deep learning software frameworks such as tensor flow, theano, caffe, torch, and keras. Tensor Flow provides excellent functionality for deep learning. Keras is a high-level neural network API that operates above on tensor flow or theano. The survey winds up by presenting several future avenues and open challenges that should be addressed by the researcher in the future. 09 30 2020 28 34 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7654.0991120 https://www.ijitee.org/portfolio-item/K76540991120/ Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India. Rajveer Singh* Vinay Krishna gharami Department of Electrical Engineering, Jamia Millia Islamia, New Delhi, India. Transmission lines are the backbone of electrical power systems and other power utilities as they are used for transmission and distribution of power. Power is distributed to the end-user through either overhead cables or underground cables. In the case of underground cables, their propensity to fail in service increases as they age with time. The increase in failure rates and system crashes on older underground power cables now negatively affect system reliability and involve numerous losses. It is therefore easy to realize that the consequences of this trend need to be managed [3]. Identification of the type of defects and their locations along the length of the cables is vital to minimize the operating costs by reducing lengthy and expensive patrols to locate the faults, and to speed up repairs and restoration of power in the lines. In this study, a method that combines wavelets and neuro-fuzzy techniques for fault location and identification are proposed. For this methodology a power transmission line model was developed and different fault locations were simulated in MATLAB/SIMULINK, and, as an input to the training and development of the Adaptive Network Fuzzy Inference System (ANFIS), certain selected features of the wavelet transformed signals were used. Fault index obtained from wavelet transformation are used as input variable for fuzzy input block function. Different membership functions were observed within input block function. As per formulation of rules, for membership function, the output value of the defuzzifier component was decoded to give a crisp value of ANFIS output. ANFIS results were compared with actual values. A comparison of the ANFIS output values and the actual values show that the percentage error was less than 1%. Thus, it can be concluded that the wavelet-ANFIS technique is accurate enough to be used in identifying and locating underground power line faults. Which will help in solving this time taking and tedious problem more efficiently and thereby reducing human effort in finding the type of fault and its location. 09 30 2020 35 41 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7656.0991120 https://www.ijitee.org/portfolio-item/K76560991120/ Assistant Professor, Department of Engineering & Computing Sciences, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India. Mr. Ankur Sisodia* Mrs. Swati Assistant Professor, Department of Engineering & Computing Sciences, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India. Mrs. Hina Hashmi Assistant Professor, Department of Engineering & Computing Sciences, Teerthanker Mahaveer University, Moradabad, Uttar Pradesh, India. At present, various studies regarding the Wireless Sensor Network have already published in various fields and applications but there is always a further scope and also challenges comes under the way of researchers and they have to overcome them. Wireless Sensor Network always has some potential in the field of research and we have to go through them and try to study or analyse them. In this paper, we try to study some non-fictional applications so that we can analyse in future how these applications work with wireless sensor networks for this we concisely define Wireless Sensor Network to sum things up and mainly focus on the study of non-fictional applications like: Patient information in Hospital, Tracking: searching and determining location, Context Aware and Retailing: sales and service support. It is important to know about these applications of Wireless Sensor Network so that they can be used in efficient manner by both user and developer. 09 30 2020 42 49 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7673.0991120 https://www.ijitee.org/portfolio-item/K76730991120/ PG Scholar Department of Civil Engineering, P. D. A College of Engineering, Kalaburagi (Karnataka), India. Kashif Ahmer* Sharat S Chouka Assistant Professor, Department of Civil Engineering, P. D. A College of Engineering, Kalaburagi (Karnataka), India. Present scenario growth of Multistory building is incredibly high attributable to fast growth everywhere around the globe. Open first story is usually provided for congested parking space, reception lobbies, party areas or any purpose in multistory building. However just in case of multistory building with soft story provides reduced performance. There are numerous aspects that effects on the behavior of multistory building like irregular plan within the structure. In the present work, study of various locations of weak stories is being considered for the analysis. To study of various locations on the seismic behavior of multistory building, linear static analysis (ESA) and linear dynamic analysis (RSA) in ETABs 2016 version is applied. Some seismic constraints like time period, story shear, story displacement, story drift and base shear are tried. The seismic behaviors of multistorey building with soft stories are administered. 09 30 2020 50 55 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7678.0991120 https://www.ijitee.org/portfolio-item/K76780991120/ BME student, AVIT, Chennai, India B. Bakkiylakshmi* S. Saranya BME student, AVIT, Chennai, India. Lakshmi Shree B Assistant Professor, AVIT, Chennai, India. A surgical procedure will always involve an anesthetic process to the patient to start the surgery. In major surgeries the patient will be administered with large amount of anesthesia where the procedure might take 4 to 5 hours to complete. And a complete dosage of anesthesia cannot be delivered at once. High dosage can affect the patient to enter coma stage. And low dosage can lead to more dangerous condition where the patient might regain consciousness during the middle of the surgery itself. Hence depending on the vial parameters of the patient, anesthesia can be regulated and delivered using a feedback analysis to reduce further side effects. 09 30 2020 206 209 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7680.0991120 https://www.ijitee.org/portfolio-item/K76800991120/ Assistant Professor, Department of Civil Engineering, National Engineering College, Kovilpatti, India. R. Venkada Lakshmi* Groundwater pollution is a worldwide issue. The level of the pollutant concentration measurement is an essential due to the many countries depend on groundwater for the drinking. In present study area (Kovilpatti region) has also depend on groundwater for the drinking and irrigation purposes. Hence to assess the ground water quality in Kovilpatti region, 18 samples were collected from various points during pre-monsoon sessions (January 2020). The physical water quality parameters such as pH, TDS, EC were measured in the field using handheld water analysis kit. The chemical parameters of water quality such as Chloride (Cl-), Fluoride (F-), iron (Fe2+) were analyzed and concentration were computed in the laboratory by using standard methods. Among the obtained values, five stations have higher concentration of chloride and fluoride than the permissible limit recommended in BIS 2012. To reduce the fluoride concentration, a treatment was carried out using Neem leaves as natural adsorbent. The obtained result reveals that the removal efficiency is about 52% when 0.04g of adsorbent was added. For the same, a station named Pudhukramam, achieved the maximum removal efficiency as 87%. This study is used to assess the level of pollution and pollutant concentration in the Kovilpatti region. The removal efficiency of Neem levels at varies additions were also measured in the present study. 09 30 2020 85 89 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7681.0991120 https://www.ijitee.org/portfolio-item/K76810991120/ Automotive Engineering, Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India. Karri Satish Poojith Reddy* Srinivaas A Assistant Professor, Department of Mechanical Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore, India. Camera is a very crucial sensor for ADAS which is commonly used in all the vehicles to assist driver by providing information about all the obstacles around the vehicle during a drive. The Camera sensor is a vision based sensor and it is highly preferred because of its advantages like excellent in classification, good resolution, very economical and small in size. Still this sensor is having some disadvantages like huge computational load, failed to detect obstacles due to poor light and weather conditions and even less capable to estimate the distance from the obstacle. In recent years so many research works were performed to overcome these challenges, for making the camera a robust sensor. In this paper, the challenges in detection faced by camera sensor were focused and their respective solution is discussed, which are required to improve the effectiveness in vision based detection. 09 30 2020 90 98 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7684.0991120 https://www.ijitee.org/portfolio-item/K76840991120/ Assistant Professor, JSPM’s Bhivarabai Sawant Institute of Technology and Research, Wagholi, Pune, India. Manasi P. Deore* Dr. A. M. Mulla Principal, D. A. College of Engineering, Karad Satara. India. As the future energy generation, renewable energy as a cleaner energy is more targeted area of research. Microbial fuel cell (MFC) in hybrid energy sources, one can use wind, solar and MFC with its capability to use bio-catalytic and microorganisms to generate an electrical current. This research focuses on the impact of temperature on generation of energy for Maharashtra regions. The proposed framework presents the study about MFC bio-catalysts and its ability to produce electrical power. The proposed MFC model generates an optimum current by making use of bio-waste as the single electron donor. This paper presents impact of different weather temperatures on the power generation by proposed model. 09 30 2020 99 103 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7687.0991120 https://www.ijitee.org/portfolio-item/K76870991120/ Student, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Mr. Dhruv Nrupesh Patel* Mr. Ashwin Sasi Student, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Mr. Anand Chembarpu Student, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Mr. Chandrashekar Dasari Student, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. Mrs. Usha C S Assistant Professor, Department of Computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, India. According to the Press Information Bureau, India generates 62 million tonnes of waste (both recyclable and non-recyclable waste) annually. Landfill waste ranks third in terms of greenhouse gas emissions in India. To reduce this issue, we have come up with an idea using IOT and ML, that helps segregate waste into biodegradable and non-biodegradable. The fast growth in the amount and varieties of solid and hazardous waste due to burgeoning growth, industrialization, and urbanization, is becoming a growing hassle for the countries and national governments to heed to the powerful and sustainable management of waste. We have come up with an option to tackle this trouble from a lower level. We have centred our efforts to construct a smart bin exclusively for household purposes. Using a smart bin, we have a manner of identifying non-biodegradable and biodegradable waste with the assist of sensors and ML models built for figuring out the type of waste. The biodegradable waste is saved in its section of the bin and the non-biodegradable waste is further divided into landfill waste and recyclable waste. Since segregation on a large scale is hard to manage due to the cost and inaccuracies working at that scale. The smart bin should be able to solve these issues by segregating early rather than trying to segregate it at a larger scale. 09 30 2020 56 59 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7700.0991120 https://www.ijitee.org/portfolio-item/K77000991120/ Student, School of Civil Engineering, MITWPU, Pune, India. Nishant Sarjerao Jadhav* Amrut Anant Joshi Assistant Professor, School of Civil Engineering, MITWPU, Pune, India. Ferrocement-LGS (Light Gauge Steel) composite construction is recently proposed novel form of construction as a substitute to traditional RCC framed construction. In this construction form, walls of the building behave more or less like a shear wall in resisting in-plane lateral loads. The present paper attempts to propose a simplified mathematical model for obtaining response of composite wall under in plane lateral loading. As first part of present work, in-plane force deformation behavior of Ferrocement-LGS composite wall panel is predicted through FEM analysis (ANSYS). This force deformation curve was employed to estimate equivalent spring parameters of simplified mathematical model (ETABS) of composite walls. The simplified mathematical model saves significant computational efforts in predicting the in-plane response compared to the traditional FEM model without compromising the accuracy. 09 30 2020 104 107 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7705.0991120 https://www.ijitee.org/portfolio-item/K77050991120/ Assistant Professor, Department of Information Science and Engineering, Nitte Meenakshi Inastitute of Technology, Bangalore, India. Vani E S* Dr. Swarnalatha K S Professor, Department of Information Science and Engineering, Nitte Meenakshi Inastitute of Technology, Bangalore, India. Electrocardiogram (ECG) is a real time signal which can be used to analyze the functioning of the cardiac muscles. These electrical signals help us in identifying the heart related issues. It gives lot of clinical information about heart. Corona virus disease (COVID-19) is a disease caused by Corona virus and it spreads through saliva droplets or nose discharge. A person with COVID-19 might suffer from heart related issues. To lower the risk of cardiovascular injury, monitoring of ECG is vital for a person identified with COVID-19. By analyzing QTc and ST prolongations, we can identify the complications in heart like Myocardial Infraction (MI), Cardiac Arrest, Myocarditis, Acute cardiac injury and Arrhythmia with COVID-19. And also change in QTc value is observed in a person before and after chloroquine treatement. This systematic review reveals that identifying ECG patterns which is related to COVID-19 is vital. 09 30 2020 108 111 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7707.0991120 https://www.ijitee.org/portfolio-item/K77070991120/ PG Scholar, Department of Civil Engineering, P. D. A College of Engineering, Kalaburagi, Karnataka, India. Tanuja V Kerenor* Vaijanath Halhalli Associate Professor, Department of Civil Engineering, P. D. A College of Engineering, Kalaburagi, Karnataka, India. Buildings that rest on sloping ground are different from those that rest on level ground. Buildings located on sloping ground are much more prone to earthquakes because they are, in general, irregular, asymmetrical and tensional. Therefore, the movement of the ground affects them much more. Therefore, there is increased insertion of the shear wall to resist side loading. In this work, the multi-storey building G + 20 is analyzed on slopes of 0o and 24o. For the improvement and analysis of full-filled shear walls, GMT, type L and type C soft soil is used. The structure is analyzed by the response spectrum method and responses such as displacement, ground deviation, period and base slices are evaluated and compared using E-TAB software. 09 30 2020 112 118 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7708.0991120 https://www.ijitee.org/portfolio-item/K77080991120/ Research Student, Department of Computer Science, Savitribai Phule Pune University (SPPU), Pune, Maharashtra, India. Vinaya Keskar* Dr. Jyoti Y. Yadav Assistant Professor, Department of Computer Science, Savitribai Phule Pune University, Pune, Maharashtra, India. Dr. Ajay H. Kumar Research Guide, Department of Computer Science, Savitribai Phule Pune University, Pune, Maharashtra, India. “Data is an ocean of Universal Facts”. Big data once an emergent technology of study is in its prime with immense potential for future technological advancements. A formal study in the attributes of data is essential to build robust systems of the future. Data scientists need a basic foot hold when studying data systems and their applications in various domains. This paper intends to be THE go-to resource for every student and professional desirous to make an entry in the field of Big Data. This paper has two focus areas. The first area of focus is the detailing of the 5 V attributes of data i.e. Volume, Variety, Velocity, Veracity and Value. Secondly, we will endeavor to present a domain wise independent as well as comparative of the correlation between the 5 V’s of Big Data. We have researched and collected information from various market watch dogs and concluded by carrying out comparatives which are highlighted in this publication. The domains we will mention are Wholesale Trade Domain, Retail Domain, Utilities Domain, Education Domain, Transportation Domain, Banking and Securities Domain, Communication and Media Domain, Manufacturing Domain, Government Domain, Healthcare Domain, etc. This is invaluable information for Big Data system designers as well as future researchers. 09 30 2020 154 163 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7709.0991120 https://www.ijitee.org/portfolio-item/K77090991120/ Department of Architecture, Jadavpur University, Kolkata, India. Amal Barman* Dr. Madhumita Roy Department of Architecture, Jadavpur University, Kolkata, India. Dr. Arpan Dasgupta Amity school of Architecture and Planning, Amity University, Kolkata, India. In recent years, Guwahati city is witnessing a rapid urban growth due to ever-increasing human population sacrificing existing green pockets. This constant increase of built form is resulting in environmental imbalances and microclimate changes, contributing in a rise of indoor air temperature and that ultimately results a gradual increase in the energy consumption to maintain indoor thermal comfort in the inner-city areas. Although the urban growth pattern of Guwahati is controlled by prevailing GMDA building bye-laws, these building parameters are unable to control the organic growth of the city since there is no climate-sensitive approach available in the GMDA bye-laws. This paper aims to discuss the energy use in the building envelope by analysing the energy efficiency of a residential apartment building of Guwahati and reviews most common energy efficient codes that influences the heat gain or loss, natural ventilation, and day lighting, which, in turn, determines indoor temperatures, thermal comfort, and sensible cooling or heating demand inside urban residential buildings. Four relationships of building parameters are studied and analysed their impact on energy use. The amount of heat gain or loss, natural ventilation and day lighting that are allowed by building envelop will be calculated for each relationships and compared. All the relationships specify building envelope design that helps to improve the energy efficiency in residential building, but none suggested a basis for its proportion. This paper analyses the use of daylight and natural ventilation within a building envelope helps to minimise the energy consumption. A climate conscious urban design approach associating common energy codes such as window to floor area (WFR) ratio, Visual light transmittance (VLT) and residential envelope transmittance value (RETV) against average daylight and natural ventilation can be utilised as preliminary urban design techniques in development control regulations especially in the residential zones in the inner-city areas of Guwahati metropolitan development authority (GMDA). 09 30 2020 119 126 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.K7711.0991120 https://www.ijitee.org/portfolio-item/K77110991120/