-22b9b34417bc6092a744d6c 20220224072011333 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 2020 10 2 Bio Mathematical lab, Centre of Computational Biology and Bioinformatics, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, (India) Shabab Akbar Sapna Ratan Shah* Bio Mathematical lab, Centre of Computational Biology and Bioinformatics, School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi-110067, (India) The effects of Prostaglandin Analogs on intraocular pressure and increased aqueous outflow via trabecular meshwork into the schlemm’s canal has been studied in this present research paper. Aqueous humor is an outflow, which flows at the back of the iris in the posterior chamber all the way through the pupil aperture, out into the anterior chamber, and drain from the eye via drainage slope. The eye keeps on making aqueous humor in the ciliary body and it passes through the trabecular meshwork into the scheme of the canal, the key drainage from the eye and it finally goes to the “collector channels” and due to the less amount of aqueous humor fluid flow from the drainage angle, the pressure in the eye starts to increase. For this study, the canal of Schlemm is assumed as a permeable channel. And it is connected by trabecular meshwork. The inner layer of the canal's wall has been assumed as permeable. And the aqueous humor drains into the canal through this porous tissue wall. The objective of this paper is to discuss the effect of prostaglandin analogs on intraocular pressure as the Prostaglandin Analogs work by increasing the outflow of aqueous from the eye. 12 30 2020 176 180 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8195.1210220 https://www.ijitee.org/portfolio-item/A81951110120/ student, Artificial Intelligence from CVR College of Engineering, Hyderabad, India. Mir Habeebullah Shah Quadri* Dr. R. K. Selvakumar Professor Department of Computer Science and Engineering , CVR College of Engineering, Hyderabad, Telangana , India. Both sellers and buyers heavily depend on the opinions of customers in purchasing and selling products online. When it comes to text-based data, sentiment analysis of user reviews has become a prominent facet of machine learning. Text data is generally unstructured which makes opinion mining very challenging. A wide array of pre-processing and post-processing techniques need to be applied. But the major challenge is selecting the right classifier for the job. Naïve Bayes algorithm is a commonly used machine learning classifier when it comes to opinion mining and sentiment analysis. The focus of this survey is to observe and analyze the performance of Naïve Bayes algorithm in sentiment analysis of user reviews online. Recent research from a wide array of use-cases such as sentiment analysis of movie reviews, product reviews, book reviews, blog posts, microblogs and other sources of data have been taken into account. The results show that Naïve Bayes algorithm performs exceptionally well with accuracies between 75% to 99% across the board. 12 30 2020 64 68 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A8198.1210220 https://www.ijitee.org/portfolio-item/A81981110120/ Mangosuthu University of Technology, Durban, South Africa. Dr. Kehdinga George Fomunyam* Relevance occur in various forms and across various disciplines. More often, it is a property of applicability. Changes in information, conduct, context, processes are occurring at a fast pace compared to time past which begs the question if engineering education is relevant and applicable to proffer solution that suits these changes. This research therefore seeks to conceptualize design thinking as the answer to the question of relevance in engineering education in Africa. Findings from the study revealed that the question of relevance is somewhat puzzling and none has been able to give an in-depth exegesis of the concept. The design thinking concept is a complex cognitive process and in engineering parlance, it is a systematic, intelligent process which is used by designers to generate, evaluate and delineate concepts which will be applicable for devices, systems and processes whose form and function must be to satisfy users objectives or needs while satisfying specific constraints. The study recommended that effort be intensified on engineering education to ensure relevance and proffer solution to socio-economic disorders in Africa. 12 30 2020 49 56 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8213.1210220 https://www.ijitee.org/portfolio-item/B82131210220/ Mangosuthu University of Technology, Durban, South Africa. Dr. Kehdinga George Fomunyam* Context is the interrelated condition in which something exists or occurs. It can also be seen as the parts of a discourse that surrounds a word or passage and can help shed light on its meaning. So, in carefully understanding context in engineering education, it will be prudent to examine all the dimensions that surrounds it and these spans environmental, political, cultural, disciplinary, social and economic dimension. This study provided considerable insight on what contextual responsiveness is and understand the impetus for it, while making the case for corporate social responsibility as a tool for contextual responsiveness in engineering education in Africa. Findings from the study revealed that that contextual responsiveness in engineering education seeks to consider how overall changes influences the discipline and how the discipline responds to it. Corporate social responsibility was seen as a management strategy that seeks to consider social and environmental perspectives in business processes and it has immense benefits for stakeholders, society and the organization itself. The study conceptualized corporate social responsibility as contextual responsiveness for engineering education in Africa and the elements within it were considered. The study recommended that there should be an overhaul to the practice of corporate social responsibility so as to have guidelines and standards to follow when engaged in it. 12 30 2020 57 63 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8214.1210220 https://www.ijitee.org/portfolio-item/B82141210220/ College of Art and Design, Royal University for Women, Bahrain. Abuelainin Hussain* The techniques and methods essential in creating 2D and 3D virtual reality images that can be displayed in multimedia devices are the main aims of the study. Tools such as desktops, laptops, tablets, smartphones, and other multimedia devices that display such content are the primary concern in the study. Such devices communicate the content through videos, images, or sound which are realistic and useful to the user. Such contents can be captured from different locations in virtual imaginary sites through the abovenamed electronic devices. These are beneficial e-learning instructional techniques for students, especially for higher learning [1]. Considering architectural learners who rely on such images to develop the expected simple designs useful in real constructions, 360-degree imaging has to be considered in e-learning for their benefits. The primary forms through which the content can be transformed into a virtual reality include YouTube and Facebook websites, all of which can display 360-degree virtual environment content. Through this, the learners will interact with virtual reality in such setups, thus enhancing their studies. 12 30 2020 1 4 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8219.1210220 https://www.ijitee.org/portfolio-item/B82191210220/ Department of Mechanical Engineering, Cambridge Institute of Technology, Bangalore, India. Karthik R* K Elangovan Professor, Department of Mechanical Engineering, Er Perumal Manimekalai College of Engineering, Hosur, India. Girisha K G Department of Mechanical Engineering, Akshaya Institute of Technology, Tumkur, India. The conventional method is facing difficulty in manufacturing the nickel based alloys. Metal or composite components can be made using Direct Metal Laser Sintering (DMLS) process. Right now, Inconel 718 is a very much required alloy in defence, aerospace, chemical, oil and gas applications because of its admirable hot corrosion resistance and thermal –mechanical properties. In this research, we investigate the corrosion behaviour of the laser sintered and commercially available Inconel 718 alloy using salt spray test as per ASTM B117 for different exposing hours (24, 48, 72, 96, 120, 144, 168 hours). Samples prepared using laser sintering and commercially available Inconel 718 alloy were subjected to EDAX and SEM analysis to confirm the uniform distribution and chemical composition. Vickers Micro hardness test was conducted on samples to check surface hardness. From the results, it has been confirmed that prepared laser sintered Inconel 718 components shows the excellent corrosion resistance as compared to commercially available under harsh corrosion environment. 12 30 2020 5 9 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8220.1210220 https://www.ijitee.org/portfolio-item/B82201210220/ School of Engineering & Information Technology, Manipal Academy of Higher Education Dubai Campus, Dubai, United Arab Emirates. Shamik Palit* Chandrima Sinha Roy Department of Computer Science, Eminent College of Managementand Technology, Kolkata, West Bengal, India, This article is about IoT. The IoT on vehicles will be discussed. For an automobile for safety and security, I am making progress in making an IoT comparative analysis. A new web wave that is expected to rework our lives could be the Things Web (IoT). The Web has people connected andconnects Things to create flawless communication and pooling of intelligence. IoT could be an era of RIOTous, with the remarkable ability to control the world and the method we tend to live. It uses gadgets and sensors relating to the net, which produce new characteristics. In the age of modern international, we as the purchasers are leaning in the direction of smart vehicles and extra to make lifestyle easier. The Internet and society center states that 90% of accidents that occur around the place are caused by human errors and failures. We can reduce the error from the very least when we implement IoT on cars. In 2020, the Automobile Manufacturers ' Alliance forecast that 75% of cars are capable of using the internet and that unsecured devices can be accessible without difficulty, which is why it is important that safety is guaranteed in cars. This paper analyzes the various securities of IoT technologies in IoT.Then suggesting new security policy 12 30 2020 10 17 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8222.1210220 https://www.ijitee.org/portfolio-item/B82221210220/ Computer Systems, Ain Shams University, Cairo, Egypt, Yara M. Abdelaal M. Fayez* Computer Systems, Ain Shams University, Cairo, Egypt Samy Ghoniemy Computer Systems, British University in Cairo, Cairo, Egypt, Ehab Abozinadah Information Systems, King Abdelaziz University, Jeddah, KSA, H. M. Faheem Computer Systems, Ain Shams University, Cairo, Egypt, Face detection algorithms varies in speed and performance on GPUs. Different algorithms can report different speeds on different GPUs that are not governed by linear or near-linear approximations. This is due to many factors such as register file size, occupancy rate of the GPU, speed of the memory, and speed of double precision processors. This paper studies the most common face detection algorithms LBP and Haar-like and study the bottlenecks associated with deploying both algorithms on different GPU architectures. The study focuses on the bottlenecks and the associated techniques to resolve them based on the different GPUs specifications. 12 30 2020 103 108 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8234.1210220 https://www.ijitee.org/portfolio-item/B82341210220/ Department of Power Management, University of Petroleum & Energy Studies, Dehradun, India. Archan Bhanja* Anil Kumar Department of Power Management, University of Petroleum & Energy Studies, Dehradun, India. Anshuman Gupta Department of Economics, University of Petroleum & Energy Studies, Dehradun, India. Rural electrification is an essential requirement for improving the lives of people residing in rural areas and improving their image among the international community. To install Photo Voltaic (PV) panels in isolated regions as per government plans and regulations, solar-based micro grids are needed for Efficiency in the Energy Sector. There are many components required for installing and operating a micro grid. In addition, the location of the micro grid also plays a vital role in the installation. To analyze the difficulties and challenges, especially in hilly terrains, a detailed review of the factors involved in installation of solar-based micro grid is carried out. The general challenges involving the technical difficulties such as the stability, reliability, power imbalance, control and operation are presented in this paper. Stand-alone models of micro grids are described along with its advantages. The government initiatives like subsidies and funding for rural electrification is discussed. As a case study, two micro grids in India, one at Ladakh and one at west Bengal are presented. These case studies bring out the problems and issues faced during the rural electrification and recommendations were given for the future scope. 12 30 2020 26 35 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8241.1210220 https://www.ijitee.org/portfolio-item/B82411210220/ Ph.D. Scholar, Shivaji University Kolhapur, Assistant Professor, Bharati Vidyapeeth’s College of Engineering, Kolhapur, (Maharashtra), India. Sanjay Shamrao Pawar* Sangeeta Rajendra Chougule Professor, Kolhapur Institute of Technology College of Engineering, Kolhapur, (Maharashtra), India. The Epileptic seizure is one of major neurological brain disorders and about 50 million of world’s population is affected by it. Electroencephalography is medical test which records brain signal by mounting electrodes on scalp or brain cortex to diagnosis seizure. Scalp Electroencephalography has low spatial resolution and presence of external artifact as compared to Intracranial Electroencephalography. In Intracranial Electroencephalography strip, grid and depth type of electrodes are implanted on cortex of brain by surgery to measure brain signal. Analysis of brain signal was carried out in past in diagnosis of Epileptic seizure. Seizure classification and Severity measurement of Epileptic Seizure are still challenging areas of research. Seizures are classified as focal seizure, generalized and secondary generalized seizure depending upon the area of brain which it generates and how it spreads. Classification of seizure helps in treatment of seizure and during brain surgery to operate on brain part which is responsible for continuous seizures generation. Developed seizure classification algorithm classifies seizures as focal Seizure, generalized Seizure and secondary generalized seizure depending on the percentage of iEEG electrodes detecting seizure activity. Seizure severity measurement scale is developed by modification in National Hospital Seizure Severity Scale. Seizures are graded as Mild seizure, Moderate seizure and severe seizure depending on its severity. Seizure Classification and Seizure Severity Measurement improves life quality of Epileptic patients by proper drug management. 12 30 2020 36 41 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8249.1210220 https://www.ijitee.org/portfolio-item/B82491210220/ Department of Electrical Engineering, University of Wollongong, Dubai. Muhammad Imran Khan* The renewable energy becomes the second-largest source of global electricity worldwide. However, the intermittent nature of RESs (RES)causes great challenges and severed problems regarding system security and reliability. Combining two or more RES in hybrid renewable topologies can overcome these problems and improve the power quality, reliability and increasing the overall system efficiency especially when the combined sources have a complementary nature for each other. For example, Solar Photovoltaic and Wind energy have a complementary nature since they can complement each other in partial failure time and in turn, increases the reliability of the overall system. Optimization techniques are essentially required to optimally coordinate between the combined energy sources, reduce the total system cost, and maximize the extracted power and consequently increasing the total efficiency. Therefore, this paper has a twofold aim which is conducting comprehensive review of the optimization techniques, Software and tools, topologies of hybrid renewable energy systems (HRES)and then applying data mining and statistical calculations to predict the most suitable optimization techniques for a hybrid system composed of Solar PV, Wind Turbine, and battery bank. 12 30 2020 181 192 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8253.1210220 https://www.ijitee.org/portfolio-item/B82531210220/ Department Computer Engineering, Marwadi Education Foundation's Group of Institutions, Rajkot, India Dina Mohsen Zoughbi* Dr. Nitul Dutta Department Computer Engineering, Marwadi Education Foundation's Group of Institutions, Rajkot, India. Cloud computing is the most important technology at the present time, in terms of reducing applications costs and makes them more scalable and flexible. As the cloud currency is based on building virtualization technology, so it can secure a large-scale environment with limited security capacity such as the cloud. Where, Malicious activities lead the attackers to penetrate virtualization technologies that endanger the infrastructure, and then enabling attacker access to other virtual machines which running on the same vulnerable device. The proposed work in this paper is to review and discuss the attacks and intrusions that allow a malicious virtual machine (VM) to penetrate hypervisor, especially the technologies that malicious virtual machines work on, to steal more than their allocated quota from material resources, and the use of side channels to steal data and Passing buffer barriers between virtual machines. This paper is based on the Security Study of Cloud Hypervisors and classification of vulnerabilities, security issues, and possible solutions that virtual machines are exposed to. Therefore, we aim to provide researchers, academics, and industry with a better understanding of all attacks and defense mechanisms to protect cloud security. and work on building a new security architecture in a virtual technology based on hypervisor to protect and ensure the security of the cloud. 12 30 2020 42 48 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8262.1210220 https://www.ijitee.org/portfolio-item/B82621210220/ Information Science, RIT, Bangalore, India. Bhagyashree P Pujeri* Jagadeesh Sai D Information Science, RIT, Bangalore, India. The issue with identifying language relates to process of determining natural language in which specific text is written. This is one of the big difficulties in the processing of natural languages. Still, they also pose a problem in improving multiclass classification in this area. Language detection and translation a significant Language Identification task are required. The language analysis method may be carried out according to tools available in a particular language if the source language is known. A successful language detection algorithm determines the achievement of the sentiment analysis task and other identification tasks. Processing natural language and machine learning techniques involve knowledge that is annotated with its language. Algorithms for natural language processing must be updated according to language's grammar.This paper proposes a secure language detection and translation technique to solve the security in natural language processing problems. Language detection algorithm based on char n-gram based statistical detector and translation Yandex API is used.While translating, there should be encryption and decryption for that we are using AES Algorithm. 12 30 2020 69 77 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8265.1210220 https://www.ijitee.org/portfolio-item/B82651210220/ Master of Computer Science from Sri Venkateswara University, Tirupathi. Mrs. V. Keerthi* Prof. T. Anuradha Master of Computer Applications from Sri Padmavathi Mahila Viswa Vidyalayam, Tirupati. Now a days exploring and analyzing or mining data in various ways give insights into future for invention and plays a critical role in decision making. For accurate analytical assertion of data, accurate results is essential. So hiding data and at the same time preserving data privacy is necessary to protect externals from attacks. An successful process for sharing sensitive information for data processing, validation and publication should then be deducted. In this paper Polynomial Based Encryption Secret Sharing Scheme (PBESSS) for Multi-Party mechanism is proposed that allows multiple parties to exchange secret data between them at the same time secret data is encrypted so as to protect from untrusted parties. Each party will have stronger protection by selected own polynomial with primitive root number ‘generator’ and the secret data will be in cryptic form and it can be found by each party after final computation of polynomials. This multi-party mechanism can be applied to federated cloud for computation securely. 12 30 2020 78 82 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8270.1210220 https://www.ijitee.org/portfolio-item/B82701210220/ Research Scholar, Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur ,Andhra Pradesh, India. Mr. Hanumantha Rao Battu* Dr.R.Satya Prasad Professor, Department of Computer Science and Engineering, Acharya Nagarjuna University, Guntur ,Andhra Pradesh, India. Dr. D.N.V.Syma Kumar Associate Professor, Department of Computer Science and Engineering, St. Ann’s College of Engineering & Technology, chirala, Andhra Pradesh, India. Modifiability of the Object-Oriented system with inheritance states that how much amount of information would be modified in the individual class level and total system level. Measuring the modifiability in the appropriate manner leads to improve the maintainability and also quality of the specified software system. Existed metrics for modifiability gives the more complexity values and typical to work with them. Here main concentration is on to consider the proper modifiability of the Object-Oriented system and reduce the complexity in judging the modifiability. The identified modifiability metrics of the class and system level are validated with the well known Weyker’s properties to strengthen the proposed metrics and which may utilized in their research work by researchers. 12 30 2020 83 88 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8271.1210220 https://www.ijitee.org/portfolio-item/B82711210220/ Department - Mechanical Engineering, Sachdeva Institute of Technology, Mathura-281122, Uttar Pradesh, India. Saurabh Dayal* Devendra Singh Department - Mechanical Engineering, Sachdeva Institute of Technology, Mathura-281122, Uttar Pradesh, India. Ajay Kumar Sharma Department - Mechanical Engineering, Institute of Engineering & Technology, Lucknow-226021, Uttar Pradesh, India. In this study the biodiesel derived from different vegetable oil esters (VOE) including Jatropha and Karanja is compared with diesel. The efficiency, emission and combustion properties of different VOE in single cylinder compression ignition engine were compared with Diesel. The main objective of our study is the theoretical and experimental comparison of the efficiency, emission and combustion properties of biodiesel using Jatropha and Karanja esters with diesel. Vegetable oil from Jatropha and Mahua was transesterified and used in a turbocharged engine water-cooled single-cylinder Diesel Engine attached to an ac induction motor with a current of 0 to 5kw. Brake thermal efficiency is decreased by around 1.4 percent for Jatropha, 2.0 percent for Karanja compared to Diesel. Brake specific fuel consumption improved by 0.2 percent for Jatropha and 3.4 percent for Karanja compared to Diesel. 12 30 2020 89 95 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8274.1210220 https://www.ijitee.org/portfolio-item/B82741210220/ Assistant Professor, Manipal University Jaipur, Rajasthan, India. Neha Sharma* Harsh Vardhan Bhandari B.Tech, Information Technology, Manipal University Jaipur, Rajasthan, India. Narendra Singh Yadav Associate Professor, Manipal University, Jaipur, Rajasthan, India. Harsh Vardhan Jonathan Shroff B.Tech, Information Technology, Manipal University, Jaipur, Rajasthan, India. Nowadays it is imperative to maintain a high level of security to ensure secure communication of information between various institutions and organizations. With the growing use of internet over the years, the number of attacks over the internet have escalated. A powerful Intrusion Detection System (IDS) is required to ensure the security of a network. The aim of an IDS is to monitor the active processes in a network and to detect any deviation from the normal behavior of the system. When it comes to machine learning, optimization is the process of obtaining the maximum accuracy from a model. Optimization is vital for IDSs in order to predict a wide variety of attacks with utmost accuracy. The effectiveness of an IDS is dependent on its ability to correctly predict and classify any anomaly faced by a computer system. During the last two decades, KDD_CUP_99 has been the most widely used data set to evaluate the performance of such systems. In this study, we will apply different Machine Learning techniques on this data set and see which technique yields the best results. 12 30 2020 96 102 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8278.1210220 https://www.ijitee.org/portfolio-item/B82781210220/