19c96fd517d854497e8-185b 20220224231215019 beie:beie director@blueeyesintelligence.org WEB-FORM The International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 12 30 2020 10 2 Research Scholar at Civil Engineering Department, NITTTR Chandigarh, India R.G. Sonone* Sanjay Kumar Sharma Professor and Head of Civil Engineering department, NITTTR, India H.K. Sharma Professor civil Engineering Department, NIT, Kurukshetra, India This paper addresses the development of High Performance Concrete in the past along with the experimental work on properties of Slurry Infiltrated Fibrous Concrete (SIFCON). Slurry infiltrated fibrous concrete has high strength, large ductility and good performance under seismic excitations. There is an increase in numbers of structures testified by the recent symposiums and conferences held on HPFRC. Now presently investigations are being carried out to suggest recommendations for the design of HPFRC structures. SIFCON consist of cement slurry and different types of steel fibers. It is observed that with the increase in percentage of steel fibers there is an improved static, dynamic and mechanical properties of concrete. Steel fibers also act as crack arrester and improve durability. In the present study, it is observed that at 9% fiber content the compressive strength, split tensile strength and flexural strength is optimum. 12 30 2020 109 112 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8284.1210220 https://www.ijitee.org/portfolio-item/B82841210220/ Assistant Professor in Andhra University College of Engineering (A), Andhra Pradesh, India. P. Rama Santosh Naidu* Dr. G. Lavanya Devi Assistant Professor Andhra University College of Engineering (A) Department of CS & SE, Andhra Pradesh, India. Dr. K.Venkata Ramana Assistant Professor in Andhra University College of Engineering (A), Andhra Pradesh, India. In recent days Machine Learning has become major study aspect in various applications that includes medical care where convenient discovery of anomalies in ECG signals plays an important role in monitoring patient's condition regularly. This study concentrates on various MachineLearning techniques applied for classification of ECG signals which include CNN and RNN. In the past few years, it is being observed that CNN is playing a dominant role in feature extraction from which we can infer that machine learning techniques have been showing accuracy and progress in classification of ECG signals. Therefore, this paper includes Convolutional Neural Network and Recurrent Neural Network which is being classified into two types for better results from considerably increased depth. 12 30 2020 143 147 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8285.1210220 https://www.ijitee.org/portfolio-item/B82851210220/ Actuarial Science Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Humaida Banu Samsudin* Amirul Aqil Nadzrulizam Actuarial Science Programme, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia. Income inequality has become a major economic growth problem faced by most countries in the world. The income gap that exists between the rich and the poor grows wider every year. The Malaysian government have set up multiple economic policies and provided various aids that focuses on improving the B40's economic situation and reduce the income gap that exist amongst them. Data for this study are obtained from the Household Income Survey (HIS). This study makes the comparison on the range and average of income amongst the B40 household income of each state in Malaysia. This comparison analyses the income gap that exist amongst the local households. Income inequalities amongst B40 households are prominent in Selangor, which recorded a huge income gap amongst the households. Kelantan has the lowest maximum and average income value amongst B40 from all states. The demographic factors that have significant impacts on the distribution of income amongst the B40 population in Malaysia was analysed using regression models. Residential area, levels of academic studies and working status of the head of household are the factors that effects B40 populations in Malaysia. 12 30 2020 113 117 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8286.1210220 https://www.ijitee.org/portfolio-item/B82861210220/ Computer Science, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia. Abdulrahman M. Qahtani* In the software industry, a critical factor in a project’s success is raising productivity, and software development teams must always consider its challenges. In today’s competitive industry, the productivity of team members in software development is a serious issue that attracts considerable attention. Studies have been conducted on various aspects of team and individual productivity; however, the literature still refers to a lack of research into the impact of team awareness, observing that it is an essential element of knowledge management in the project’s development life cycle. This study takes up this point and presents an actual software development case study to investigate the impact of increasing knowledge and producing adequate information on clients’ domain and business model on both team productivity and that of each individual member. The study was undertaken with two development teams over one month, each receiving about 300 requirements. One of the teams was given sufficient information on the client’s domain and background in terms of its business model, while the other was given nothing before it went to the client’s workplace, without any knowledge of its domain. The results achieved were statistically significant, showing better productivity among the team with the information, with 261 of 300 requirements completed, whereas the other completed just 107. The findings of this study will help software research to focus both on the aspects of knowledge management that relate to software development and on the correlation between them. The study also supports software development project managers to enhance the value of knowledge when they are delivering training and to equate the time spent spreading knowledge to giving team members adequate information about the clients’ domains and business models. This will be reflected in both the quality and productivity of the entire development process. 12 30 2020 148 152 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8293.1210220 https://www.ijitee.org/portfolio-item/B82931210220/ Department - Mechanical Engineering, Sachdeva Institute of Technology, Mathura-281122, Uttar Pradesh, India. Maneesh Kumar* 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. Water is the fundamental need of humanity. The consumption of water is rising with each day. The major parts of the available water, i.e. 97%, are saline seawater and 2% is ice and glaze. Just 1% of the water is pure drinking water. Therefore in order to satisfy the demand for fresh water, it is important to turn the impurity of salty sea water or brackish water into pure water. The Solar Single Slope Single Basin (SSSB) is not being experimentally investigated. The experimentation was performed during the months of May and June 2020 under Indian climatic conditions. The efficiency of still cotton cloth with marbles and jute cloth with marbles is 50.00 per cent and 46.15 per cent respectively, higher than average. 12 30 2020 118 121 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8295.1210220 https://www.ijitee.org/portfolio-item/B82951210220/ Department - Mechanical Engineering, Sachdeva Institute of Technology, Mathura-281122, Uttar Pradesh, India. Sundar Lal* 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. The primary aim of the present experiment is to study the productivity, emission behavior of the HCCI engine using exhaust gas recirculation at different flow rates under different load conditions on the controlled combustion of the HCCI diesel-fueled engine, to know the best performance and least emissions attainable and to further investigate the impact of the engine. Experiments have been performed for various percentages of exhaust gas recirculation with diesel fuel under load variations. These analyses of the EGR at varying load with the findings acquired are plotted and contrasted for the output and emission characteristics that have been carried out in order to identify the efficient operation of the diesel engine with the least environmental pollution. 12 30 2020 122 127 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8296.1210220 https://www.ijitee.org/portfolio-item/B82961210220/ Department of Information Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt. Yasmeen Farouk* Sherine Rady Department of Information Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.. The correct localization of brain tissue deformation and determination of the tumor growth relies majorly on the accuracy of the process known by image registration. Poor registration may lead to misclassified diseases and highly affect image-guided surgery and radiation therapies. Voxel-based morphometry (VBM) is an image analytical technique encompassing accurate registration but suffers from intensive time computations, similar to most of image registration techniques. Achieving the compromise between accuracy and computations is a challenging mission. Field programmable gate arrays have fast-evolving and customizable hardware acceleration capabilities that promise to help speed up computational tasks. This paper presents a software/hardware co-design model for accelerating the implementation of the diffeomorphic image registration algorithm ‘DARTEL’ as a part of VBM that analyzes MRI images. An optimized and pipelined hardware architecture is proposed and integrated into the Statistical Parametric Mapping (SPM) software tool that runs the DARTEL. Acceleration of the DARTEL registration algorithm resulted in a speedup factor of 114x on function-level, compared to the CPU with a contribution of 8x faster for the overall performance in the registration process of the SPM. The proposed model is successfully validated for the identification of Alzheimer’s disease based on T1-weighted MRI. A proposed software/hardware co-design model for VBM achieves remarkable acceleration while maintaining classification accuracy and proving proficiency against other CPU and GPU implementations. 12 30 2020 128 137 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8300.1210220 https://www.ijitee.org/portfolio-item/B83001210220/ PhD Student (Environmental Engineering), School of Chemical and Energy Engineering, Universiti Teknologi Johor, Malaysia. Muhammad Ikhwan Zamhuri* Haslenda Hashim PhD Student (Environmental Engineering), School of Chemical and Energy Engineering, Universiti Teknologi Johor, Malaysia. Ho Wai Shin PhD Student (Environmental Engineering), School of Chemical and Energy Engineering, Universiti Teknologi Johor, Malaysia. Chilled water air conditioning system is used to supply cooling systems in large capacity for industrial processes and commercial buildings. Air conditioners contribute more than 60 percent of electricity consumption in buildings. District Cooling System (DCS) technology comprises a central chiller plant which provides advantage compared to local air conditioning system. It has higher efficiency, uses less power in system operation, allows more usable space in buildings, and can be operated with minimum manpower while handling same amount of cooling load. The integration of a chiller with ice thermal storage (ITS) offers more operational flexibility while reducing space cooling expenses. This paper presents a systematic framework for design and operation of District Cooling Plant (DCP) comprising an integrated chiller and ice thermal storage system. The Cooling System Cascade Analysis (COSCA) based on pinch analysis is constructed to determine the chiller optimal size and ice thermal storage capacity. The District Cooling System configuration for this study comprises a cooling tower, chiller (centrifugal, variable centrifugal, glycol) and ice thermal storage system. The application of this technique to fulfil 66,284 refrigerant tonne hour (RTH) cooling load demand from commercial buildings reveals the optimal capacity of the chiller is 3068.91 refrigerant tonne (RT), ice tank rating at 989 refrigerant tonne (RT) and ice tank capacity is 9892.75 refrigerant tonne hour (RTH). 12 30 2020 165 175 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8301.1210220 https://www.ijitee.org/portfolio-item/B83011210220/ Department of Computer Science and Engineering, Ganeshi Lal Bajaj Institute Of Technology and Management, Greater Noida, India. Muhammad Uwais* Arpit Sharma Department Of Electronics and Telecommunications Engineering, K.J. Somaiya Institute of Engineering and Information Technology, Mumbai, India. Akhil Kumar Department of Computer Science and Engineering, Ganeshi Lal Bajaj Institute Of Technology and Management, Greater Noida, India. Lakshya Singh Department of Computer Science and Engineering, Ganeshi Lal Bajaj Institute Of Technology and Management, Greater Noida, India As we are living in the era of social media apps, from Facebook to WhatsApp which are using everywhere. All these apps are being used by everyone. Although this may seem to be a very good sign that we are moving to the new era of “THE DIGITAL WORLD” but it may have some consequences like spreading of artificial news, crack of personal information like credit card, debit card, passwords or digital wallets etc. The users believe that every message shared on social media might be true. So, to protect our internet users we have come up with an idea that provides the ability to discover homonym attack and malicious links which warns the user before they can access the site. The Social engineering attacks have stirred terribly removed from this like fraudulent attack within which we tend to completely rely upon our browser to present north American nation a warning. This situation may worry some computer users, but we generally do not think much about when we perform any action on our mobile phones. But all these so called to do steps are not the right way to deal with these situation .The primary commitments of this paper are understanding a working meaning of IDN satirizing assaults and how those IDN spaces are being introduced in the URL bar in some Internet programs, proposing a working arrangement that reports IDN ridiculing assaults which convert URL into Unicode and punycode. 12 30 2020 138 142 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8303.1210220 https://www.ijitee.org/portfolio-item/B83031210220/ University of Malaysia Terengganu, 21030 University of Malaysia Terengganu, Azlina Musa* Mohd Nasir Hashim University of Malaya, 50603 Kuala Lumpur, This article will discuss wireless access technologies in the online classroom learning culture during the covid19 pandemic. The purpose of this study was to examine the use of wireless technology in accessing learning and classroom teaching conducted online. In addition, this study is to examine the acceptance among students in the use of wireless access technology in the new normal learning culture during the covid19 pandemic. This study is based on the questionnaire method with 207 respondents. The results of this study show that students can not accept the use of wireless technology as a new normal in the culture of online learning in the era pandemic covid19. Findings show that students prefer learning in their campus of study compared to learning at home. Through re-documentation of the results of this study, it is hoped that it will be a source of reference in the future. 12 30 2020 153 157 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8305.1210220 https://www.ijitee.org/portfolio-item/B83051210220/ Chemical, IPIRTI Field Station Kolkata, India S.C. Sahoo* Amitava Sil Mechanical, IPIRTI Field Station Kolkata, India Dharm Pal Chemical, NIT, Raipur, India Nano science and nano technology provides numerous opportunities for enhancing the properties of wood based panel products. In this study an extender was made using nano silicon dioxide ( Sio2), nano calcium carbonate( CaCo3) with some specialty chemicals at a certain reciprocal proportion. Efficacy study was carried out with both phenolic and amino resin in terms of rheological and formaldehyde emission test using reinforcement of nano additive as extender at different concentration level. The plywood panels has been tested as per IS: 1734-1983 for mechanical properties. The rheological and adhesive properties has been tested as per IS 848: 2006. The test data reveals that enhancement of rheological, bonding and mechanical properties have been achieved after reinforcement of synthetic resin. The increase in the percentage of nano-additive caused an increase of viscosity, glue shear strength and minimizing the formaldehyde emission than using individual nano silicon dioxide ( Sio2), nano calcium carbonate( CaCO3) instead of the extender made by combination of above. Using nano additive extender at 5%, there is an increase in glue shear strength in the glue line and enhanced rheological properties in amino resin based adhesive was observed. 12 30 2020 158 161 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8306.1210220 https://www.ijitee.org/portfolio-item/B83061210220/ Ph. D. Research Scholar Department of Physics, D B S College, C S J M University Kanpur, Uttar Pradesh, India. Abhishek Kumar Mishra* Anurag Kumar Ph. D. Research Scholar Department of Physics, D B S College, C S J M University Kanpur, Uttar Pradesh, India. Vikas Mishra Associate Prof. Department of Physics, D B S College, CSJM University Kanpur, Uttar Pradesh, India. In the present work we will calculate the electrical conductivity of atmosphere. Generally earth’s atmosphere is about 480 km thick but most of it is within about 16 km. At different altitudes the meteorological conditions are different. In this work we will calculate the atmospheric electrical conductivity at different altitude. 12 30 2020 162 164 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.B8309.1210220 https://www.ijitee.org/portfolio-item/B83091210220/