-22b9b34417bc6092a7443fd 20220217044341128 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 09 30 2020 9 3 Assistant Professor, University of Science and Technology, Meghalaya, India. Dr. Ajijur Rahman Shanowaj Choudury B. Tech, Computer Science and Engineering, Meghalaya, India. This paper discusses the role of abstraction in science and technology education. It starts with a humble introduction of abstraction in general, while discussing the first few encounters of a learner with this idea. Significance of abstraction and the required motivation level of learner are also discussed. An expected change in the attitude of a learner at transition to higher studies is proposed. Thereafter the contribution of abstraction in the evolution of Computer Science and Engineering is discussed in some detail. Moreover a deduction of the Computer Science Curriculum is also shown along the same line as its evolution. Finally the paper concludes with emphasizing the importance of understanding links between different layers of abstractions. 09 30 2020 51 54 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A1333.099320 https://www.ijrte.org/portfolio-item/A1333059120/ Department of Electronics and Telecomm, Bharat Ratna Indira Gandhi College of Engineering, Solapur, India. Ms Rubina Jahangir Khan Raj Kulkarni Department of Electronics and Telecomm, Belgavi, India. Mr Jagannath Jadhav Department of Electronics and Telecomm, Belgavi, India. Emotions are feelings which one can feel and are hard to be put in a form by a person .However they reflect the mental state of a person. Emotions like joy and sadness can be somehow detected from the facial expressions or through the body language. But these emotions do have an impact upon our system. An individual’s electrocardiogram is a way through which one can know the impact of different parameters such as stress, joy, sadness, anger on the mechanism of our body. The emotions such as anger, sadness have an adverse effect on the cardio system and is seen in the form of abnormal ECG which can be a good pointer to a counselor when finding out the reasons and diagnosis. The decomposition technique along with the Hilbert transform can be used for feature retrieval. The different emotions are detected through the binary classification technique 09 30 2020 243 246 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A2592.099320 https://www.ijrte.org/portfolio-item/A2592059120/ School of Electronics Engineering, VIT University, Vellore, India. Golakoti Ajay Bhaskar Naidu Yaramala Avinash Reddy School of Electronics Engineering, VIT University, Vellore, India. Challagolla Naveen Chowdary School of Electronics Engineering, VIT University, Vellore, India. In this paper, MIMO 2-port, 2-element antenna for 5G applications is presented. This is monopole antenna structure consists of two-rectangular patch of same shapes. Each antenna has a feeding plate connect at the centre of the patch antenna for enhancing isolation the etching of rectangular slots on the ground plane in between the two patches along with thick and sheet of the substrate just below at the centre of the patch. Maximum isolation achieved among the ports is less than -30db. envelope correlation coefficient is below 0.10 in bands of interest. The minimum frequency range covered by the four ports of this antenna is from around 3.0 to 4.0 GHz, thus covering expected future 5G band (3300–3700 MHz). 09 30 2020 377 380 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3234.099320 https://www.ijrte.org/portfolio-item/B3234079220/ Department of Civil Engineering, Shri Guru Gobind Singhji Institute of Engg. & Tech., Nanded, India. Dattatray Kisan Rajmane Dr. Milind Laxman Waikar Department of Civil Engineering, Shri Guru Gobind Singhji Institute of Engg. & Tech., Nanded, India. Study of Climate change effect on water resources is very important for its effective management. Projection of temperature and precipitation can be performed by using General Circulation Model (GCM) outputs. GCM can make the projections of climate parameters with different emission scenarios at coarser scale. However hydrological models require climate parameters at smaller scale Downscaling technique is used for obtaining small scale climate variables from large scale variables of GCM outputs. In this study downscaling has been carried out by using Multiple Linear Regression (MLR) and Artificial Neural Network (ANN) techniques. Performance of MLR and ANN models has been evaluated considering Coefficient of determination value (R2). It has been observed that ANN performs better against MLR Model, showed the results that rainfall distribution pattern is varied, in monsoon season rainfall decreases while it increases in post monsoon period. Due to its good evaluation performance such techniques can be applicable for downscaling purpose. 09 30 2020 1 8 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3266.099320 https://www.ijrte.org/portfolio-item/B3266079220/ Student, Pimpri Chinchwad College of Engineering & Research, Pune, India. Mahima Chandane Ankita Chavan Student, Pimpri Chinchwad College of Engineering & Research, Pune, India. Renuka Kamath Student, Pimpri Chinchwad College of Engineering & Research, Pune, India. Dipali Madane Student, Pimpri Chinchwad College of Engineering & Research, Pune, India. Madhuri Badole Teacher, Pimpri Chinchwad College of Engineering & Research, Pune, India. This project presents a system to automatically detect emotional dichotomy and mixed emotional experience using a Linux based system. Facial expressions, head movements and facial gestures were captured from pictorial input in order to create attributes such as distance, coordinates and movement of tracked points. Web camera is used to extract spectral attributes. Features are calculated using Fisher face algorithm. Emotion detected by cascade classifier and feature level fusion was used to create a combined feature vector. Live actions of user are to be used for recording emotions. As per calculated result system will play songs and display books list. 09 30 2020 525 528 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3623.099320 https://www.ijrte.org/portfolio-item/B3623079220/ Research Scholar, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore,, Tamilnadu, India. Raamesh. ASP Dr. N. Balasundaram Professor, Department of Civil Engineering, Karpagam Academy of Higher Education, Coimbatore,, Tamilnadu, India. Dr. V. Karthik Professor, Department of Civil Engineering, SRK Institute of Technology, Vijayawada. Waste disposal in environment due to rapid urbanization and industrialization is increasing day by day. Disposal of wastes in the environment is more difficult in the construction industry. Marble powder and quarry dust are the waste materials obtained from the dressing and processing unit of marble production and quarries respectively. These waste materials are dumped in the environment as a landfill, and they can be used as a viable substitute material to the ingredients of concrete to a great extent. This will result in the production of economically green concrete; this happens because of less usage of river sand, leading to reduction in damage to to the environment. In this paper, natural sand used in the fiber-reinforced concrete (FRC) of grade 20 was replaced by varying proportions (0%, 25%, and 50%) and combinations of quarry dust (QD) and marble powder (MP) with 0.5% of basalt fiber added to the mix in order to explore the impact of QD and MP on the mechanical properties of concrete. The strength properties were assessed at 3rd, 7th, 14th and 28th day and the obtained results are tabulated. It is observed that a particular proportion of QD and MP enhances the strength of FRC. 09 30 2020 497 501 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3629.099320 https://www.ijrte.org/portfolio-item/B3629079220/ Department of Electronic and Computer Engineering, University Teknikal Malaysia Melaka, Malaysia. Nurul Syahira Binti Nordin Woo Ying Yee Department of Electronic and Computer Engineering, University Teknikal Malaysia Melaka, Malaysia. Md Saeed Hasan Joarder Department of Electronic and Computer Engineering, University Teknikal Malaysia Melaka, Malaysia. Badrul Hisham Bin Ahmad Department of Electronic and Computer Engineering, University Teknikal Malaysia Melaka, Malaysia. Wireless communication is one of the fastest growing area today. Wireless devices are growing exponentially day by day. The need for massive data transmission is growing and growing every year. Some of the prime goals or demands that need to be addressed in the near future, i.e. beyond 4G, are increased efficiency, higher data speeds, decreased latency and better service quality. To meet these demands, there needs to be dramatic changes in the design of the cellular network. Some of the main 2020+ timeline services include smart city applications that require smart grid, smart infrastructure, smart medicine with connected vehicles, connected houses, moving robots and sensors that build the Internet of Things environment. 5G is the fundamental IoT connectivity infrastructure that can handle extremely high power, high bandwidth, robust integrity and low latency. This represents a number of innovative and disruptive advancements in technology. This paper comprises of basic comparison between 4G and 5G characteristics. It covers how 5Gs architectures differs from 4G architecture and what are the advantages and characteristics of 5G. First, 4G and 5G network architecture are pointed out. Second, overview of technological advancement of 5G over 4G is discussed. 09 30 2020 65 69 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3705.099320 https://www.ijrte.org/portfolio-item/B3705079220/ Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Nurul Syahira Binti Nordin Woo Ying Yee Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Md Saeed Hasan Joarder Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. Badrul Hisham Bin Ahmad Electronic and Computer Engineering, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. In this paper, a review on the LoRa antenna design for IoT application is studied. The expansion of the Internet of Things ( IoT) has led the industry to develop new communication solutions, as current protocols are inadequate in terms of scope and energy efficiency to satisfy IoT requirements. Before studying antenna design, some background LoRa and IoT were discussed at beginning of the paper. LoRaWAN is an open LPWAN standard developed by LoRa Alliance and has main characteristics such as low energy consumption, long-range communication, builtin protection and GPS-free positioning. Besides, a comparison according to the method, resonance frequency, material, size of the antenna and the output is shown in the form of table. In addition, the strength and the weakness of each of the antenna design were discussed before the end of the paper. 09 30 2020 198 201 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3706.099320 https://www.ijrte.org/portfolio-item/B3706079220/ Mangosuthu University of Technology. Kehdinga George Fomunyam Engineering education was predicated on two sources. One on trade apprenticeship where people that are trained locally under the tutelage of someone are engaged in further studies to broaden their theoretical and practical knowledge. The other source of engineering education was within the four walls of the educational institution which has in its core natural sciences and it emphasizes specialization in a specific aspect of engineering. This study seeks to understand if value for money in engineering education is in theory or practice. Value for money is one of the measures of quality of education. Value for money as a concept that has been defined by various authors and the World Bank defined value for money as the effective, efficient, and economic use of resources, which requires the evaluation of relevant costs and benefits with the assessment of risks and of non-priced items and/or cost of life cycle. The objective of this research is to determine if the search for value for money in engineering education is a theory or practice. Findings from the study revealed that engineering education is one of foundation for the development of the society. By engineering education, the dynamics of life has been influenced and also human culture giving more substance to civilization and politics. It was also found out that value for money is not only a financial marker but it has with it various economic, social, physical dimension. In engineering education costs are expended and this this necessitates the drive for value for money. This study recommends that there is a need for better measures of value for money in engineering education and there is a need to advance knowledge on the theories of engineering to ensure relevance in this changing era. 09 30 2020 325 330 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3970.099320 https://www.ijrte.org/portfolio-item/B3970079220/ Institute of System Science Durban University of Technology. Kehdinga George Fomunyam Social capital is important as it becomes an imperative as key indices for development and growth of students who opt for engineering education. Engineering educators have important role to play in motivating engineering students with untapped potentials to possess the right capital by creating productive teaching platforms. This paper explored the relationship of social capital on engineering education in addition to students possessing the right capital in their respective course of study. This paper argued that engineering educators should develop students’ social capital within the context of social networks and norms by promoting knowledge-based social capital and its productivity among engineering students. This paper was guided by Social Capital Theory, which lay emphases on the views that student learning should be centred on education invested on human capital and social capital. Specifically, we explore engineering students having the right capital in their study and social capital is a quality criterion that enhances students in possessing the right capital towards EE in Africa. Thus, to address the social capital gaps in engineering education, it suggested that engineering educational curriculum as well as staff development and capacity building should be designed in developing engineering student to possess the right capital in their field of study. A number of educational-oriented recommendations for social capital in engineering education investment were made. 09 30 2020 331 338 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3971.099320 https://www.ijrte.org/portfolio-item/B3971079220/ Mangosuthu University of Technology. Dr. Kehdinga George Fomunyam The Fourth Industrial Revolution (4IR) is impacting engineering education (EE) in diverse with several changes from the effects of the previous three industrial revolutions. Remarkable industrialization has been recorded in the fourth industrial revolution. However, certain skill gaps has been identified missing in engineering courses and curriculum as employers seek skills development aligned with the fourth industrial revolution (4IR). This paper was guided by Lifelong Learning Theory which explain that the paradigm shift from the first three industrial revolutions to 4IR has led to EE transformation of acquiring not only technical skills but also soft skills. This has led to critical EE curriculum review to extrapolate its impacts of soft skills on 4IR emerging workforce. This paper takes a broad look at the EE and soft skills in the era of 4IR in Africa, while examining the EE in previous revolutions and, exploring the impacts and implications of soft skills on EE. The possibilities of adequate investments in EE and soft skills programmes becomes an imperative to address skill gaps and prepare engineering graduate students for future work. The importance of soft skills, values, and improvement of soft skills in engineering education in 4IR era are discussed among others. Thus, to address soft skills gaps in EE, industrial cooperation and educational partnership is significant to centre on EE curriculum future-oriented skills development to consolidate with 4IR workforce demands. A number of policy recommendations for 4IR compatibility with EE polices are made. 09 30 2020 339 345 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3972.099320 https://www.ijrte.org/portfolio-item/B3972079220/ Mangosuthu University of Technology. Dr. Kehdinga George Fomunyam Engineering has been reputed as a discipline that makes things work better. By the ingenuity of engineering, there is the potential to deploy creativity to solve some of the problems of the world and help in shaping the future. Shortly after the novel coronavirus, SARS-COV-2 (2019-NCov) was initially identified in the Chinese city of Wuhan in a group of patients diagnosed with pneumonia on December 31, 2019, it resulted to fast paced human to human transmission which has generated lots of media stirs and hype concerning issues of public health globally. Corona virus disease 2019 (COVID-19) is a ribonucleic acid virus (RNA) which has the physical appearance of a crown when viewed under the microscope which is as a result of glycoprotein spikes on its envelope. Findings from the study revealed that engineering has great impact on health conditions in rural Africa and the era of COVID-19 brought with it various consequences on the health systems of people. Understanding that there is no known cure for COVID-19 is key and various countries of the world depended on their knowledge and expertise to deal with the disease. This study therefore recommends that there is a need for intensified effort on engineering in rural Africa. 09 30 2020 246 250 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3973.099320 https://www.ijrte.org/portfolio-item/B3973079220/ Associate professor, Department of Electronics and Communication Engineering, Anurag University, Hyderabad, India. P. Ramakrishna T. Vamshika P.G. Scholar, Department of Electronics and Communication Engineering, Anurag University, Hyderabad, India. M. Swathi Assistant professor, Department of Electronics and Communication Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India. The development of IC integration technologies leads to an extensive use of memories and buffers in different memory intensive applications. Therefore, probability of occurrence of fault in every single read and writes operation is increased in Memory BIST (MBIST). There were many testing approaches that were developed for efficient testing and diagnosis of fault. However, all algorithms are not strengthened enough to detect all possible faults that may be present due to fabrication errors or environmental disturbance. Keeping this in mind and taking the possibility of development of efficient algorithm a hybrid memory testing algorithm is presented. To overcome those drawbacks, pipelining based MBIST designed to detect the all the types of memory faults by utilizing March-C testing algorithm. By introducing the Pipelining approach, majorly path delays are reducing. The proposed architecture designed and verified using Xilinx ISE environment under various testing methods with respect to the different category of memories. The simulation and synthesis results shows that the proposed method shows the enhanced performance with the hardware resource utilization and delay consumption compared to the conventional approaches. 09 30 2020 55 58 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B3975.099320 https://www.ijrte.org/portfolio-item/B3975079220/ Associate Professor & head, Department of Commerce, Central University of Tamil Nadu, Neelakudi, Thiruvarur, India. Dr. Velmurugan. PS Jyoti Ranjan Sahoo Research Scholar, Department of Commerce, Central University of Tamil Nadu, Neelakudi, Thiruvarur, India. External debt and internal debt form main components of the public debt structure in India. India’s debt profile shows increasing external debt and simultaneously increasing the deficit in current account which have impact on economic growth of India. Our study assesses the impact of India’s Gross External Debt (GED), Internal Debt (IND) and Current Account Deficit (CAD) on economic growth (GDP) by using time series data from 1998-99 to 2018-19. We intend to find long-run as well as short run relationship between the variables with the help of Eviews software. Stationarity of data is tested by considering Augmented Dickey-Fuller (ADF) test statistics and used Johansen Co-integration test and Vector Error Correction Model (VECM). The result shows co-integration among the variables with one equation. The result of VECM shows existence of long-run relationship among the variables. But the study fails to find the short-run causality among the variables. The results show external debt (GED), internal debt (IND), and Current Account Deficit (CAD) have negative and statistically insignificant relationship with GDP. It shows increase in public debt and deficit in current account results in decrease in GDP growth. 09 30 2020 594 601 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4072.099320 https://www.ijrte.org/portfolio-item/B4072079220/ Associate Professor, Department of Computer Engineering, Pravara Rural Engineering College, Loni, Rahata, Ahmednagar, India. V. V. Mandhare D. R. Pede Department of Computer Engineering, Pravara Rural Engineering College, Loni, Rahata, Ahmednagar, India. P. S. Vikhe Associate Professor, Department of Instrumentation and Control Engineering, Pravara Rural Engineering College, Loni, Rahata, Ahmednagar, India. At present situation network communication is at high risk for external and internal attacks due to large number of applications in various fields. The network traffic can be monitored to determine abnormality for software or hardware security mechanism in the network using Intrusion Detection System (IDS). As attackers always change their techniques of attack and find alternative attack methods, IDS must also evolve in response by adopting more sophisticated methods of detection .The huge growth in the data and the significant advances in computer hardware technologies resulted in the new studies existence in the deep learning field, including ID. Deep Learning (DL) is a subgroup of Machine Learning (ML) which is hinged on data description. The new model based on deep learning is presented in this research work to activate operation of IDS from modern networks. Model depicts combination of deep learning and machine learning, having capacity of wide range accurate analysis of traffic network. The new approach proposes non-symmetric deep auto encoder (NDAE) for learning the features in unsupervised manner. Furthermore, classification model is constructed using stacked NDAEs for classification. The performance is evaluated using a network intrusion detection analysis dataset, particularly the WSN Trace dataset. The contribution work is to implement advanced deep learning algorithm consists IDS use, which are efficient in taking instant measures in order to stop or minimize the malicious actions. 09 30 2020 59 64 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4086.099320 https://www.ijrte.org/portfolio-item/B4086079220/ School of Biotechnology, KIIT University, Bhubaneswar, Odisha, India. Anjani K. Upadhyay Debasmita Chatterjee School of Biotechnology, KIIT University, Bhubaneswar, Odisha, India. Madhuri Swain School of Biotechnology, KIIT University, Bhubaneswar, Odisha, India. Lopamudra Ray (PhD) Assistant Professor, School of Law, Adjunct faculty, Biotech, Campus Kalinga Institute of Industrial Technology (KIIT) Bhubaneswar, Odisha, India. Streptomyces, isolated from marine and estuarine habitat have been widely recognized as a potential source of antifungal, anti-tumour, anti-bacterial compounds. In the present study, the antimicrobial agent production potential of a Streptomyces cinereoruber sp was evaluated. The selective isolation of the strain was carried out on starch casein agar. The primary screening of the Streptomyces isolate was done by cross streak method against pathogenic test strains Escherichia.coli MTCC 82, Staphylococcus aureus MTCC 96, Bacillus cereus IP406 and Salmonella typhi MTCC 734 and Micrococcus leuteus and the antimicrobial property against Micrococcus leuteus was confirmed. The secondary screening was carried out by using the culture supernatant against the test strain by agar well diffusion method. The growth and antimicrobial production ability of the strain against Micrococcus leuteus was studied. The antimicrobial agent production was also observed till pH 11 and NaCl concentration 3% (w/v). The partially purified compound showed a peak similar to streptomycin in HPLC. The culture condition for the production of the compound was optimised. 09 30 2021 187 197 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4094.099320 https://www.ijrte.org/portfolio-item/B4094079220/ EEE, JIMS Engineering Management Technical Campus, Greater Noida, (U.P.), India. Anshu Parashar Anand Kumar Pandey EEE, JSS Academy of technical education, Noida, (U.P.), India. Ritesh Rai EEE, JIMS Engineering Management Technical Campus, Greater Noida, (U.P.), India. In conventional power system the transmission and distribution (T&D) losses is a major concern. Renewable energy resources placed at load centers can reduce the T&D losses. For power system planners and researchers it is essential to find the optimal size and position of renewable energy resources to be place in distribution networks. Renewable energy source such as solar energy is abundantly present in the environment. With the help of solar photovoltaic (SPV) system solar energy can be converted to electrical energy. Placement of SPV in distribution system is an interesting area for researchers and planners, the random placement of SPV in distribution system leads to more power losses and poor voltage profile. In this article mathematical modelling of time varying nature of SPV and variable load has been explained and particle swarm optimization (PSO) method is proposed to find the best size and location of the SPV system. This method is tested on IEEE 33 bus system. For the validation of result existing technique based on analytical expression is selected. It is found that PSO gives better result in compare to analytical method. 09 30 2020 102 106 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.B4107.099320 https://www.ijrte.org/portfolio-item/B4107079220/