19c96fd517d854497e8-1d63 20220222060737464 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/ 11 30 2020 9 4 Associate Professor at Amity international Business School, Amity University, Noida(UP), India. Dr. Navita Mahajan Dr Seema Garg Associate Professor at Amity International Business School, Amity University, Delhi, India. Magnitude of tainting air quality has been a count of ginormous difficulty in metropolis regions and Indo Gangetic Plains during winters in India. It has detrimental impact on surroundings and human vigour. The reduction in environmental air pollution is one of the most significant and societal concern for our country. As valuable means for pollution control, minimization and mitigation remains serious approaches, we need to look at the sustainable solutions to curb this on long term. Different measures are being taken at individual level, society level and institutional level, however an effective approach that will work for everyone has to be considered. Artificial intelligence (AI), IoT’s technologies, ICT Solutions, breeze Technology, Titanium Technology, automated cars, Smog towers are some of the effective approaches and technology solutions for tackling these complexities. In this study, the recent advancements of these technologies apart from the various initiatives by Indian start-ups have been highlighted and examined. Information relevant to the subject area is investigated. The study also covers some of the progressive answers from the world over to lessen the vehicular pollutants and to offer an unceasing community to converge to the dreams of sustainable development, and how countries with least air pollution can be a pioneer example to follow their footsteps to understand the smart technologies used by different Countries. 11 30 2020 347 354 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5000.119420 https://www.ijrte.org/portfolio-item/D5000119420/ Department of Radiological Science, Daegu Catholic University, Daegu, Republic of Korea. Cheolpyo Hong Slice thickness measurement is an essential parameter of performance evaluation for the medical imaging system. This study demonstrates the characteristics of slice thickness measurement for medical images using a wedge digital phantom. A wedge-shaped digital phantom was generated and the ideal edge response function (ERF) was extracted from line profile in single slice. The corresponding slice profile was calculated by the derivative of ERF. The wedge phantom obtained by applying gaussian convolving to a digital phantom was also generated to produce similarities to real medical images. Unlike an ideal slice profile, it was estimated by the full width half maximum (FWHM) of the Gaussian function fitting. In addition, we evaluate the effect of background noise and wedge angle for the wedge phantom. The estimated FWHM of the image with noise added was increased by 10.4% compared to the image without noise. However, the FWHM from the line profiles averaging on the noise-added image was estimated by 0.2% reduction than the noise-free image. The line profiles averaging improves the accurate measurement of slice thickness by decreasing the noise. Despite the wedge angle changing from 45 to 30 degrees, the resulting FWHM was estimated to have less than 1% difference. However, the length of the line profile to be acquired should be increased as the wedge angle increases. 11 30 2020 327 329 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5001.119420 https://www.ijrte.org/portfolio-item/D5001119420/ Department of Computer Science and Engineering, Mahatma Gandhi Institute of Technology (MGIT), Hyderabad, India. Sanjana Gadalay The purpose of this study is to review the existing cybersecurity assessments and practices used by technology companies to protect their assets from potential harm and damage. Today, the software systems have thousands of vulnerabilities and, when breached, can cost the companies millions of dollars. A clear path for identifying risks, detecting threats, and responding to them is imperative. However, it is not easy to quantify cybersecurity risks as the networks and networks of networks are becoming complicated and, so most risk assessments use relevant parameters to calculate a risk score. If this score is high, it has a high impact on the critical systems. This knowledge helps hi-tech companies such as finance, banking, healthcare, defense, and supply-chain sectors to prioritize their actions and investments effectively. This study examines the risk assessment strategies and steps that companies adopt across the software development lifecycle (SDLC) to stay ahead of cybersecurity risks. 11 30 2020 330 332 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5004.119420 https://www.ijrte.org/portfolio-item/D5004119420/ is a Ph. D. research scholar at Symbiosis International (Deemed University). Her area of research interest are telecom policies, telecom governance, and customer grievance management Delhi India. Mugdha Mujumdar Prof. Abhijit Chirputkar is Assistant professor and director at Symbiosis institute of Digital and telecom Management. His research interest is finance, lll accounts and technology management Delhi India. Dr. Prasanna Kulkarni is a Associate professor in Symbiosis Institute of Digital and Telecom Management Delhi India. Dr. Giri Hallur working as Associate Professor at Symbiosis Institute of Telecom management, a constituent of Symbiosis International (Deemed University), He is Ph. D is Telecom Management from Symbiosis International (Deemed University). His area of research interest are telecom management, telecom and IT governance, and telecom technologies Delhi India. Purpose: The purpose of this research is to present a comparative analysis of the last two consecutive telecommunication policies of the Government of India (GoI). This paper analyses the commonalities and differences in the two telecom policies released in 2012 and 2018.The research study facilitates some rational perspective on NDCP 18 from digital technology lens. Design/ Methodology/ Approach: This is a qualitative study for conducting a comparative analysis of the aforesaid consecutive Indian telecom policies. The primary sources are the final policy documents and industry opinions. To gauge the industry sentiments and expert opinions, various press releases and related news articles are also studied. This study of the two consecutive telecom policies of the government of India aims at finding the fundamental differences between the two policies. Objective: Finding the fundamental differences between the two policies and the factors necessitating the replacement of the older policy with a new one. This research sheds light on why and how NDCP 18 differs from rest previous policies and what it has in its bag for both Industry as well as consumers. Finding: India has struggled with the implementation of the objectives laid out in the policies. NTP 2012 was launched with an aim to transform the country into an empowered knowledge-based society, using telecom as a platform, and to provide reliable, secure and quality telecom services in remote and rural areas. NTP 12 turned out to be generally successful except for some unachieved targets such as free roaming and maximum broadband reach NDCP 2018 is a new multi-perspective policy leapfrogging the Indian economy as an emerging digital economy. NDCP 2018 was designed in alignment with Digital India initiatives to reduce the Digital Divide; however, for India to emerge as a digital economy prioritization of achievable objectives must be marked out and implementation must be ensured. On the positive side, the overall impact of NDCP 18 is going to be monitored. This research study also reveals important analysis from interviews of telecom expert’s. This analysis facilitates unique perspective about NDCP 18 to this research study. 11 30 2020 333 340 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5005.119420 https://www.ijrte.org/portfolio-item/D5005119420/ Mittal School of Business, Lovely Professional University, Phagwara, India. Dr. Manpreet Kaur Sunanda Lovely Professional University Phagwara, Punjab, India. Monetary policy matters for growth both in the short-run and long-run. This study focuses on theevaluation of monetarypolicyandits impact on Indian economy. Via monitoring the level of money supply, the central bank strives to protect price stability. The study is done using various indicators and factors such as Gross domestic product as dependent variable and repo rate, reverse repo rate, unemployment, Foreign direct investment and inflation as independent variable. Using these variables, it was found out that the economy of a nation is totally dependent on these factors. The parameter of calculating GDP was different. The objective of the research is to know effectiveness of monetary policy in India and to analyze the impact of selected monetary instruments on Indian Economy. 11 30 2020 355 360 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5006.119420 https://www.ijrte.org/portfolio-item/D5006119420/ Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines. Ronnie Concepcion II Michael Jon Alain Saavedra Electronics Engineering Department, University of Perpetual Help System DALTA, Las Piñas City, Philippines. Jonnel Alejandrino Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines. Maria Gemel Palconit Electronics and Communications Engineering Department, De La Salle University, Manila, Philippines. ndustrial waste disrupts the natural production of microalgae cultures. Cultivation of microalgae in a controlled environment highly results to biomass with lower contamination necessary as high-valued economic product. In response to the emerging challenges of sustainable energy production, the integration of computational intelligence and biosystems engineering is considered as an open research area. In this study, Chlorella vulgaris microalgae were cultivated in BG-11 growth medium on three customized surface-mount light bioreactors that are equipped with digital camera for growth monitoring in terms of accumulated biomass surface area and color reflectance intensity via IoT. Feature-based machine learning models predicted microalgae growth area in terms of water temperature, pH level and turbidity, and light intensity. Microalgae cultures were exposed to combinations of white artificial light source of 2000 ± 1000 lux and water temperature of 27 ± 5°C using Peltier plate to discriminate biomass growth within a 30-day cultivation period. A total of nine environmental conditions were employed to clearly discriminate the impacts of environmental stressors to microalgae growth. Combined neighborhood component analysis and ReliefF was used to select high impact color features of C, Ye, M, H, and S with biomass area. Electromagnetism-like mechanism optimized-RBNN bested RNN and generalized processing regression with R2 of 0.985 and RMSE of 6.262. There is also considerable growth in biomass surface area for certain combinations of light intensity and water temperature (2125 ± 625 lux and 28.75 ± 3.25°C), and turbidity and water pH concentrations (3.85 ± 0.15 NTU and 8.025 ± 0.775). However, the photobioreactor with 27°C and 2000 lux exposure is considered having the exact optimum controlled environment condition in cultivating Chlorella vulgaris based on the generated growth in biomass surface area of 38.314%. This developed intelligent system is scalable for seamless microalgae production of any strands for renewable energy resource. 11 30 2020 378 387 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5007.119420 https://www.ijrte.org/portfolio-item/D5007119420/ Civil Engg., Amity School of Engineering and Technology, Amity University Mumbai, Panvel, Maharashtra, India. S. sangita Mishra Vishesh Verma Civil Engg., Amity School of Engineering and Technology, Amity University Mumbai, Panvel, Maharashtra, India. Urban areas are more susceptible to water logging and subsequent flood conditions because of reduced rate of infiltration arising from construction activities particularly during the monsoon season. However, if the storm water runoff is conserved and purified, it will be useful to cater to the needs of the huge population in urban areas during the periods of less rainfall or non-monsoon season. Bio-retention basins are best management practices that use a biogeochemical process within a vegetative eco-system to provide soil moisture retention and purification of storm water. While this structure has been implemented in many countries around the world, it is yet to be implemented in Indian cities with necessary modifications considering the topography, population pressure, hydrological characteristics of a basin, and the soil and water management practices. This project work is oriented to design a bio-retention filter basin in the parking lots or roadsides or streetscapes in Indian urban cities. 11 30 2020 289 294 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5011.119420 https://www.ijrte.org/portfolio-item/D5011119420/ Department Electronics and Communication, Amity University, Maharashtra Mumbai, Maharashtra, India Kiran Kale Quantitative ultrasound based Non-Destructive Evaluation (NDE) is one of the leading test procedures used in testing of finished products in manufacturing industry. It can detect surface as well as subsurface flaws accurately. It is also employed in medical diagnostic for various purposes. The main objective of this paper is to simulate 28 element ultrasound transducer pair for through transmission testing procedure. The simulation is done using k-Wave toolbox (open source toolbox) and MATLAB. The simulation results show that the received signal strength and resolution is far more improved over single and dual element transducer probes available in the market. The simulation of wave propagation through three layered aluminum material is also shown in the results. Based on results, it can be concluded that 28 element transducer pair are the optimum solution for NDE evaluation challenges with reference to cost, size, and design complexity. 11 30 2020 462 465 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5012.119420 https://www.ijrte.org/portfolio-item/D5012119420/ Assistant Professor at Amity School of Engineering and Technology, Amity University Mumbai India. Prof. Yogesh Jadhav Dr. Deepa Parasar Associate Professor at Amity School of Engineering and Technology, Amity University Mumbai India. Nowadays, maintaining customer loyalty and attention span of the customers are major challenges faced by the retail industry. The availability of varied options in the market for similar purposes increases the competition between organizations, to market their product, tremendously. This leads to the need for reinforcement of marketing strategies from time to time. With the advancement of technology, this can be made possible. This paper proposes a systematic approach for targeting customers and providing maximum profit to the organizations. An important initial step is to analyze the data of sales acquired from the purchase history and determine the parameters that have the maximum correlation. We focus on the parameters recency and frequency of the purchases made by the customers to perform clustering. Based on respective clusters, proper resources can be channeled towards profitable customers using machine learning algorithms. This paper also deals with the draw- backs of the recommender system like cold start problem, sparsity, etc and how they can be overcome. K-Means clustering is used for customer segmentation and Singular Value Decomposition is used for providing appropriate recommendations to the customers. 11 30 2020 295 303 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5013.119420 https://www.ijrte.org/portfolio-item/D5013119420/ School of Mechanical Engineering, Vellore Institute of Technology Chennai, Tamil Nadu, India. Vaibhav Bisht A Master Cylinder installed with a servo motor to vary the cross-sectional area of a Plunger Assembly is discussed. The motor is autonomously operated using a Fuzzy Logic Controller which uses sensor input(s) to position its shaft and subsequently change the cross-sectional area of the Plunger Assembly. This intelligent system helps achieve sufficient brake force under the dynamic requirement. The body is made of Al 7075-T6 primarily due to its high strength-to-weight ratio. In light of the corrosive nature of brake fluid at certain values of its pH, electroless-nickel plating of the Master Cylinder part components is also discussed. Dynamic seals made of EPDM rubber have been used due to the constant relative motion between different moving parts. 11 30 2020 341 347 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5014.119420 https://www.ijrte.org/portfolio-item/D5014119420/ Department of Civil Engineering, Kumaraguru College of Technology, Coimbatore, India. R Manju U Sindhu Vaardini Department of Civil Engineering, Kumaraguru College of Technology, Coimbatore, India. Self-Compacting Concrete (SCC) or Self Consolidating Concrete is the present-day concrete that is being adopted the world over. The production of SCC involves the selection of appropriate materials and good quality control which is essential for the durability of concrete. The mineral admixtures and filler materials provide additional reduction to the porosity of the concrete. The primary objective of the present research work is to carry out the experimental investigations on durability properties of SCC with 20 different mix proportions, containing various percentages of filler materials like Limestone Powder (LP) and Marble Powder (MP), along with the mineral admixtures like Fly ash (F) and Silica Fume (SF). Experimental investigation on the durability properties for all the 20 mixes of SCC was carried out by conducting the Rapid Chloride Penetration Test (RCPT), Saturated Water Absorption Test, Acid Resistance Test, Sulphate Resistance Test, Water Permeability Test and Salt Water Resistance Test. From the experimental study, it is observed that the SCC mix with equal proportions F (10%), SF (10%), LP (10%) and MP (10%), exhibit better performance than the control mix in terms of strength and durability characteristics and thus it is concluded that the addition of mineral admixtures and filler materials have a pivotal role in the development of strength and durability aspects of SCC. 11 30 2020 388 396 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5017.119420 https://www.ijrte.org/portfolio-item/D5017119420/ Associate Professor, Department of Computer Engineering, OM Engineering College, Junagadh, Gujarat, India. Dr. Kaushik H. Raviya Dr. DwivediVed Vyas Vice Chancellor, Gokul Global University, Siddhpur, Gujarat, India. Dr. Ashish M. Kothari Deputy Registrar & Associate Professor, Department of Electronics & Communication Engineering, Atmiya University, Rajkot, Gujarat, India. This paper illustrates a unique approach for embedding binary image watermarks into the digital images. or the purpose of watermarking; we made use of three most influential transforms in the field of image processing i.e. Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). For the sake of estimation, comparison and calculation of our approach we calculated three image quality parameters specifically peak signal to noise ratio (PSNR), Mean square error (MSE) and Correlation. 11 30 2020 397 401 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5021.119420 https://www.ijrte.org/portfolio-item/D5021119420/ Department of Computer Science and Engineering, Adama Science and Technology University, Adama, Ethiopia. Tsion Eshetu Meskela Department of Information Systems, Wolkite University, Wolkite, Ethiopia. Yidnekachew Kibru Afework Nigus Asres Ayele Department of Information Technology, Wolkite University, Wolkite, Ethiopia. Muluken Wendwosen Teferi Department of Information Technology, Wolkite University, Wolkite, Ethiopia. Tagele Berihun Mengist Department of Software Engineering, Wolkite University, Wolkite, Ethiopia. Crime influences people in many ways. Prior studies have shown the relationship between time and crime incidence behavior. This research attempts to determine and examine the relationship between time, crime incidences types and locations by using one of the neural network models for time series data that is, Long Short-Term Memory network. The collected data is pre-processed, analyzed and tested using Long Short-Term Memory recurrent neural network model. R-square score is also used to test the accuracy. The study results show that applying Long Short-Term Memory Recurrent Neural Network (LSTM RNN) enables to come up with more accurate prediction about crime incidence occurrence with respect to time. Predicting crimes accurately helps to improve crime prevention and decision and advance the justice system. 11 30 2020 402 405 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5025.119420 https://www.ijrte.org/portfolio-item/D5025119420/ Deparment of Mechanical Engineering, Trujillo National university, Trujillo, Perú. Víctor Alcántara Alza How the different types of cutting inserts coatings influence on surface roughness and tool wear, taking these two factors as machinability criteria, in turning carbon steel bars AISI 1020 was investigated. Specimens of 36 mm in diameter and 200 mm in length tested were made. Uncoated inserts and coated WC tungsten carbide inserts with: TiN; TiN / Al2O3 and TiC / Al2O3 / TiN, were use. The tests were carried out on automatic parallel lathe, using the cutting parameters: 1500 rpm; a= 0,25 mm/rev; p= 0,4 mm; therefore, the cutting speed was Vc= 170 m/min. Roughness was measured in the roughness meter: Mitutoyo, Surftest-211, and a high resolution optical microscope was used to measure the flank wear, complementing with SEM electron microscopy. It was found that the lowest roughness Ra is obtained using Triple inserts showing a variation Ra = 2μm. The maximum flank wear VB = 300μm was taken as machinability criterion, to later determine the tool life for each insert. The uncoated insert life was 8 mim, and TiN coated insert life was 14.5 min, while the bilayer and trilayer coating inserts did not exhaust their life for 12,000 mm length machining. Uncoated and TiN-coated inserts showed strong wear and workpiece material build-up (BUE). The double and triple layer inserts did not show this phenomenon due to the Al203 compound which is chemically inert at high temperatures. The most prevalent mechanisms in the inserts wear was adhesion and abrasion. No direct or inverse relationship was found between wear and roughness. 11 30 2020 406 415 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5026.119420 https://www.ijrte.org/portfolio-item/D5026119420/ Professor, Department of Mechanical Power, Ain Shams University, Egypt. A.M. Moustafa M.M. Kamal Assistant Professors, Faculty of Engineering, Ain Shams University, Egypt. Ashraf M. Hamed Assistant Professors, Faculty of Engineering, Ain Shams University, Egypt. Ahmed E Hussin Assistant Professors, Faculty of Engineering, Ain Shams University, Egypt. he objective of the current research is the experimental investigation of the pulsating flow effects on the combustion performance in terms of the flame temperature distribution, the heat transfer rate, the combustion efficiency and the exhaust gas analysis. The flow pulsation provided through a rotary ball valve in accordance with a variable speed motor arrangement increased the flame temperature fluctuation and the magnitude of heat release. The flow pulsation provides a highly turbulent flame wherein the vortices are enlarged. Increasing Strouhal number [St] of the LPG fuel and air flow increases the time-averaged flame temperature of the pulsating flame up to a saturation level that is dictated by the heat transfer rate enhancement. The maximum average flame temperature is 1263oC at St= 0.041, r= 0 mm and 100 mm from the burner inlet. In addition, increasing the pulsating flow amplitude increases the convection and radiation heat fluxes from the pulsating flame. While increasing the pulsation decreases the exhaust UHC due to increasing the turbulent kinetic energy across the pulsating flame, the exhaust NOx slightly increases due to increasing the heat release rate and the flame temperatures. Pulsation thus enhances the combustion efficiency inside the industrial combustors. 11 30 2020 444 451 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5031.119420 https://www.ijrte.org/portfolio-item/D5031119420/ Institute of Islam Hadhari, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Nor Azima Ahmad Azman Ismail Institute of Islam Hadhari1, Faculty of Economics and Management, Universiti Kebangsaan Malaysia, Selangor, Malaysia. Fariza Md Sham Institute of Islam Hadhari1, Faculty of Islamic Studies, Universiti Kebangsaan Malaysia, Selangor, Malaysia. This study measure the relationship between perceived organizational support and organizational commitment. Data were collected from 100 government employee in Malaysia in a cross-sectional study using survey method. The partial least squares structural equation model (PLS-SEM) version 3.3 was used for data analysis to test on convergent validity. The outcomes of testing hypothesis using Smart Partial Least Squares (Smart PLS) path model analysis reveals two findings, first: supervisor support significantly positive with organizational commitment. Second, co-workers support significantly positive with organizational commitment. Further, theoretical, discussion, implications and conclusion are elaborated. 11 30 2020 421 425 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5038.119420 https://www.ijrte.org/portfolio-item/D5038119420/ HOD & ASSISTANT PROFESSOR, Mother Teresa Women’s University Tamil Nadu India. V. Nagavalli A. Geetha Research Scholar, Mother Teresa Women’s University Tamil Nadu India. Knowledge management strategy deals with careful approach and implementation of knowledge to achieve the best results within the available limited condition of employees, organisational employment and capabilities of employer. This study is to analyse about the components of knowledge management strategies and to measure the influence of organisational variables in knowledge management strategies. The samples was collected from 7 top manufacturing companies distributed over 3 districts, Chennai, Kanchipuram Tiruvallur and especially in greater Chennai. With t-test the analysis is done and we can analyse that knowledge management strategies depend upon employees’s interest in implementing the knowledge with in the premises of the organisation. 11 30 2020 455 461 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5039.119420 https://www.ijrte.org/portfolio-item/D5039119420/ Civil Engineering, Anurag University, Hyderabad, Telangana, India. Pallepati Rupa Sunil Kumar. K Civil Engineering, Anurag University, Hyderabad, Telangana, India. Menam Axetha Civil Engineering, Anurag University, Hyderabad, Telangana, India. The fast development of automobile sector, removal of discarded waste elastic is turning into a broad ecological problem. In the current work, exertion has been made to limit this problem By using scrap elastic as the scrap (morsel) concrete rubber in various percentages, as a partial replacement for the fine aggregates. In this paper, the mechanical properties of rubberized concrete with steel fibre (RSFC) are studied experimentally. This article discussed the effect by volume of concrete (5, 7.5 and 10 per cent rubber) and (0.8.0.1 and 1.2 per cent steel fibre) on the reinforcement of the properties of rubberized concrete with steel fibres (RSFC) of scrap crumb rubber (SCR) and steel fibre (SF) with different steel substances. The literature survey suggests that there is a substantial decline in strengths of the single morsel rubber used in traditional concrete. like compressive, tensile and flexural strength therefore to overcome this problem by using steel fibers in present investigation and from the results it can be finalized that the all the strengthening properties (compressive, tensile strength and flexural strength) are increased contrasted with rubberized concrete but still test values are inferior than conventional concrete due to fineness of crumb rubber and irregular shape of hook end steel fiber. 11 30 2020 426 430 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.D5052.119420 https://www.ijrte.org/portfolio-item/D5052119420/ Department of ECE, Sharda University, Greater Noida, India. Shailendra K. Tripathi Carbon nanotubes (CNTs) have emerged as a prominent material for present day nano-scale systems design. In spite of their widespread use in biology, and nano-electro mechanical systems (NEMS, CNTs have encroached upon conventional MOSFETs for the design of low power and high speed circuits. Because CNT possesses higher current carrying capability, higher transconductance and near ballistic transport of charge carriers. The diameter of the CNTs laid from the Source to the Drain in a CNFET has the significant influence on the characteristics of the device itself as well as on the features of circuits implemented using the said CNFET. Such variations in circuit parameters with CNT diameter can be shown to be more pronounced in analog circuits as compared to digital CNFET-based designs. The present work attempts to investigate the effect of diameter variation on a versatile analog building block (ABB) viz. the inverting current conveyor. It is demonstrated that various parameters of the ICC-II under scrutiny, like voltage bandwidth, current bandwidth, average power dissipation, etc. depend on the diameter of CNT(s) used in the CNFETs. HSPICE simulations performed on a 0.9V; 32nm CNFET-based ICC-II are included to exemplify the dependencies studied. 11 30 2020 237 241 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.F7990.119420 https://www.ijrte.org/portfolio-item/F7990038620/