19c96fd517d854497e8-22c1 20220217061702293 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 Professor, Civil Engineering, Sethu Institute of Technology (Autonomous) Kariapatti. Dr. P. Oliver jayaprakash A Dr. K. Gunasekaran Professor& Head, Transportation Engg. Division, College of Engg. Guindy, Anna University, Chennai. Port based freight movement planning is a complicated task that could be carried out efficiently to handle the cargo, optimally utilize the infrastructure and plan the future infrastructure requirements. The nature of activities at the port is dynamic with uncertainties,since the operationsare time bound, scholastic and probabilistic.As the huge capital is involved in port infrastructure, the inter-relationship between port activities need to be understood and a system model enveloping the relationship among the variables is much needed for optimal utilization of existing facilities and to predict the future infrastructure requirements. The conventional four step model approach for modeling the person trips would not effectively reflect the commercial scheduling constraintsand requirements of freight trips. This research workattemptsto model the port operations, to assess the level of service of roads and gate operations as subsystems to understand the interdependencies between the variables and the impact on the port operations as a whole. 09 30 2020 399 410 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4290.099320 https://www.ijrte.org/portfolio-item/C4290099320/ M.tech, Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. R. Sravani P.Deepak Reddy Associate Professor, Department of Electrical and Electronics Engineering, Lakireddy Bali Reddy College of Engineering, Mylavaram, India. In this paper, the switching of dc-dc converter using voltage/current digital control is proposed. It is the combination of existed digital average voltage and digital average current controls. The stability analysis of V/C digital controlled dc-dc converter is derived by using sampled data model. The transient analysis of V/C digital controlled dc-dc converter is also derived by using z-domain small signal model. The proposed V/C digital controlled dc-dc converter has over current protection, fast load transient response, no sub-harmonic oscillations at any value of duty cycle, and wider stability range. The proposed system is analysed with a simple buck converter. The output voltage and inductor current weighting factors influence the stability boundary and transient performances of V/C digital controlled dc-dc converter. The stability analysis and transient analysis is investigated and verified by circuit simulations. 09 30 2020 167 175 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4295.099320 https://www.ijrte.org/portfolio-item/C4295099320/ Associate Professor, Saranathan College of Engineering, Trichy, Tamil Nadu, India. Dr. S. Rajeswari Dr. S. A. Arunmozhi Associate Professor, Saranathan College of Engineering, Trichy, Tamil Nadu, India. Dr. Y. Venkataramani, Venkataramani Professor, Saranathan College of Engineering, Trichy, Tamil Nadu, India. In a wireless mesh network, the network coding algorithm used to improve network efficiency. In this paper, we have implemented the Q-learning algorithm with CSMA/CA as in distributed co-ordination function along with multi-path transfer protocol (MPTP). The functioning of CSMA/CA is based on physical carrier sensing. Q-learning algorithm, along with network coding, is implemented to achieve better throughput. Our proposed method has used to reduce the packet loss and to minimize the end to end delay of the network communication. Also, it will improve the possibility of receiver buffer blocking. 09 30 2020 153 157 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4299.099320 https://www.ijrte.org/portfolio-item/C4299099320/ Software Engineering, Universidad Nacional Mayor de San Marcos, Lima, Peru. Elmer Y. Diaz Quiroz Andrés J. Ccopa Mamani Software Engineering, Universidad Nacional Mayor de San Marcos, Lima, Peru. Lenis R. Wong Portillo Software Engineering, Universidad Nacional Mayor de San Marcos, Lima, Peru. Cervical Cancer is considered the fourth most common female malignancy worldwide and represents a major global health challenge. As a result, in recent years, various proposals and researches have been conducted. This study aims to analyze the data presented in current researches regarding cervical cancer and contribute to future research, all through the framework of literature review, based on 3 research questions: Q1: What are the risk factors that cause cervical cancer? Q2: What preventive measures are currently established for cervical cancer? and, Q3: What are the techniques to detect cervical cancer? Findings show that detection techniques are complementary since they are categorized under machine learning. Therefore, we recommend that further study be promoted in these techniques as they are helpful in the detection process. In addition, risk factors can be considered for a greater scope in detection, such as HPV infection, since it is the most relevant factor for the development of cervical cancer. Finally, we suggest to conduct further research on preventive measures for cervical cancer. 09 30 2020 158 163 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4316.099320 https://www.ijrte.org/portfolio-item/C4316099320/ Assistant Professor, ECE Department, Easwari Engineering College, Chennai, Tamil Nadu, India. Ponraj A Aswin Kumar M ECE Department, Easwari Engineering College, Chennai, Tamil Nadu, India. Balasubramaniam AS ECE Department, Easwari Engineering College, Chennai, Tamil Nadu, India. Giridhar K ECE Department, Easwari Engineering College, Chennai, Tamil Nadu, India. Sorting is the process of systematic selection and arrangement. Sorting involves intense labor work. The use of Artificial Intelligence in recognizing the objects by their color makes the process of sorting completely autonomous. Modern Industries require modern solutions for the problems encountered during the process of sorting. With the advent of Artificial Intelligence, the machines that can recognize an object by their color proves to be a primary solution that can completely automate the process of sorting. This paper presents a five-axis arm mounted on a robotic model that makes use of a color sorting technique. It performs pick and place operations in real-time. The color sorting technique detects the color of the object in the frame captured by the camera. The frame size is used to detect the position of the object in the real world. The robot model moves according to the frame size of the object. Raspberry Pi microcontroller drives the servo motor and dc motor to move the five-axis arm and the robotic model to sort and perform pick and place operation based on their color. The color sorting algorithm is based on the Hue-Saturation-Value model. This model finds its application in places where sorting is done based on color and not the object itself. For example, it is used to sort objects like different colored clothes, food items, etc. It also finds its application in very large scale warehouses such as Amazon, Flipkart, etc which focusses on smart automated warehouses that reduce the labor requirements. 09 30 2020 176 179 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4320.099320 https://www.ijrte.org/portfolio-item/C4320099320/ ME Student (ECE), NITTTR, Chandigarh, India. Susamma Mathew Garima Saini Associate Professor (ECE), NITTTR, Chandigarh, India. S.S Gill Professor and Head(ECE), NITTTR, Chandigarh, India. This report gives the research work carried out for design and analysis of MIMO antenna using two identical Microstrip slot radiators having enhanced isolation. The slot radiators offer compact size in order to accommodate other electronic components for reduction of volume of the wireless communication system. The defected ground structure is formed on the ground plane in between the antenna elements and feed lines to improve the isolation between them. The substrate used for constructing the antenna is FR-4 having the measurements of 26mm x 22mm x 0.8mm and it has the relative permittivity of 4.4. The printed microfilm strip etched on the opposite side of the substratum is used to couple the signal to each antenna. The HFSS software is used in this paper for designing the antenna and for checking the performance of the antenna. The -10dB bandwidth is 1.1GHz in the frequency range of 3.1 GHZ to 4.2GHz. The maximum isolation obtained after simulation is -23.1dB at 3.13GHz. The maximum gain of 2.26dB is obtained. Simulated radiation diagram of the designed antenna indicates that it is a good radiator for 5G applications in the sub 6GHz frequency band. 09 30 2020 202 207 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4348.099320 https://www.ijrte.org/portfolio-item/C4348099320/ Master of Urban Planning, Department of Architecture, Birla Institute of Technology, Mesra, India. Aditi The COVID-19 pandemic has built a troublesome new standard for everybody through shelter-in-place systems and physical and social distancing guidelines. Yet for billions of urban underprivileged, certain guidelines aren’t merely troublesome; they’re radically impracticable. Social and physical distancing is a severely significant acknowledgement to the pandemic COVID-19 however, it additionally implies that occupants must have sufficient space, services and social security nets to sustain such an order. It is candidly not the fact over cities in Asia, Latin America and Africa. Health facilities and services are deficient in terms of the transition from state to local level causing negligence of slum areas at global to micro-level. These dwellers of slums area accustomed to unhygienic and un-sanitized environment much on a regular basis. Majority of slums are vastly located near urban centers i.e. in and around in economically less developed countries, experiencing urbanization at a greater rate compared to more developed countries. Many countries often lack the ability to provide infrastructure like roads, affordable housing, basic services like water, sanitation etc., sufficiently for in-fluxing people in the cities due to urbanization creating a big concern for the country. Health policies need to consider equity and social justice for urban poor in order to equally uplift them in the society. The paper deals with the issues faced by the urban poor in India and the programs and policies that had been issued over time during the past which could not suffice to positively impact the downfalls of these people. The paper also highlights the health conditions of these urban poor and the areas where it has been lacking behind. The pandemic has caused the nation to come to a halt but the urban poor having no such privilege to comply with the situation are forced to thrive in degrading conditions. The research paper will help figure out trigger areas for downfall of these inhabitants of the nation and formulate strategies to counteract the same in post COVID-19 situation. 09 30 2020 208 216 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4350.099320 https://www.ijrte.org/portfolio-item/C4350099320/ Department of Electronics and Telecommunication, PES’s Modern College of Engineering, Pune, India. Mrs. Durga Pathrikar Prof. Mrs. V. N. Jirafe Professor, Department of Electronics and Telecommunication, PES’s Modern College of Engineering, Pune, India. Magnetic resonance image noise reduction is important to process further and visual analysis. Bilateral filter is denoises image and also preserves edge. It proposes Iterative bilateral filter which reduces Rician noise in the magnitude magnetic resonance images and retains the fine structures, edges and it also reduces the bias caused by Rician noise. The visual and diagnostic quality of the image is retained. The quantitative analysis is based on analysis of standard quality metrics parameters like peak signal-to-noise ratio and mean structural similarity index matrix reveals that these methods yields better results than the other proposed denoising methods for MRI. Problem associated with the method is that it is computationally complex hence time consuming. It is not recommended for real time applications. To use in real time application a parallel implantation of the same using FPGA is proposed. 09 30 2020 279 284 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4351.099320 https://www.ijrte.org/portfolio-item/C4351099320/ received her M.E. and Ph.D. degrees from Anna University, Chennai Dr.J. Karpagam P. Bavithra Electrical and Electronics Engineering KPR Institute of Engineering and Technology Coimbatore, India I.Infranta Merlin Electrical and Electronics Engineering KPR Institute of Engineering and Technology Coimbatore, India J. Kousalya Electrical and Electronics Engineering KPR Institute of Engineering and Technology Coimbatore, India Agriculture is the key factor to satisfy the economy of our country and it is one of the basic needs of the human resources. Watering the plants is very important in agriculture. By using recent and current technologies irrigation system can be upgraded with the help of sensors and Microcontrollers. Thus, this irrigation system can be groomed and upgraded into an automated process. 09 30 2020 321 324 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4352.099320 https://www.ijrte.org/portfolio-item/C4352099320/ Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Chandhini G Chithra B Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Kiruthikadevi P Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Bhagya sasi Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Prof. V. Kamal Kumar Assistant Professor, Department of Electrical and Electronics Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Underground drainage monitoring system plays an important role in keeping the cities clean and healthy. Compared to other countries, India consists of highest number of sewage workers. Exposure of sewage workers to poisonous gases like hydrogen sulphide, sulphur dioxide, carbon monoxide, methane, ammonia, nitrogen oxide increases the death of the sewage workers. The main aim of this project is to design a network system which helps in monitoring poisonous gases present in sewage. Whenever the gas level crosses the threshold value, the information with different gas ppm values is displayed in the smart phone through the app. It also indicates whether it is safe for the manual scavengers to work in the environment or not. 09 30 2020 247 249 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4354.099320 https://www.ijrte.org/portfolio-item/C4354099320/ Department of Mechanical Engineering, Technological University of Tlaxcala, Huamantla, Tlaxcala, Mexico. José Luis Hernández Corona Ernesto Mendoza Vázquez Department of Mechanical Engineering, Technological University of Tlaxcala, Huamantla, Tlaxcala, Mexico. Alejandra Ortiz Castro, Castro Faculty of Mechanical Engineering, Technological University of Tlaxcala, Huamantla, Tlaxcala, Mexico. Amador Arroyo López Faculty of Mechanical Engineering, Technological University of Tlaxcala, Huamantla, Tlaxcala, Mexico. Moisés Martínez Aguirre Faculty of Mechanical Engineering, Technological University of Tlaxcala, Huamantla, Tlaxcala, Mexico. This article presents a titration project describing the implementation in the rotodynamic equipment of an economical automated temperature module, as a preventive solution for future failures caused by the lack of analysis in the increase or decrease in temperature. The project is currently contextualized in the area of industry, first, providing background to frame the importance of temperature control and measurement and also know what its evolution has been like. Immediately focuses on explaining the theoretical basis for giving context to the reader. For the purpose of detecting the increase or decrease of heat in machinery by implementing a monitoring system. The development of the project is based on the use of an LM35 transistor that connected to an Arduino Uno through various cables, will display the temperature measurement and make interface of the obtained results that will be reflected in a 2×16 LCD screen. The project is applied in a prototype bench in three key parts of the pulley, and in the two bearings to make the simulations, then perform corresponding tests and check that theory. A simple and lower cost system, but above all efficient that meets the expectations of the problem presented. 09 30 2020 180 183 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4357.099320 https://www.ijrte.org/portfolio-item/C4357099320/ Bethany College, USA. Alex R Mathew Threats involve various risks and threats are associated with the embedded SIM technology, for instance, the Internet of things (IoT) identity. IoT refers to the working capabilities enabling the allocation of unique identifiers (UID) to effectively connect with the related devices thus enhancing communication. An e-SIM application cannot produce reliable and actual data used to obtain the subscriber’s anticipated outcome. The SIM technology does not provide some reliable data that can be employed by the user to formulate some serious productive outcomes. Failure by the technology to process and automatically provide the user with the notification suppose of any infringement or hacking. SIM-jacking is the other notable threats facing the embedded universal integrated connectivity card (e-UICC). Incompetent Log Rhythm Al Engine influences the fraudster hacking experience due to failure protections within the operational surrounding. The e-SIM technology system lacks timely threat, risk, and other various vital operations predictability to react to the experienced unbearable operations challenges induced by the fraudsters. Similarly, the embedded SIM incurs the insider threats whereby the service providers fail to secure the much-needed privacy concerning an individual’s vital information. The situations of personal data leakage are witnessed within the system operations.The e-SIM hijacking enables the fraudsters to secretly obtain the victim’s vital data of the subscriber, hijack, and receive the information intended to the individual to his/her personal phone. The process results to complete mobile account operations by the hacker resulting to further access to the victim’s bank information and transfer of cash. The other threat experienced by e-SIM users is the provision of false information. The SIM subscribers normally fall into traps of the fraudsters by receiving short messages (SMS) citing assistance kind of news from the service providers, thus drawing the victim’s bank amount. Identity fraud and device poisoning are other additional threats encountered in the application of e-SIM. Generally, the entire process of fraud invasion and victimization influence the victim’s business decisions of the affected individuals. Protections focuses on the embedded SIM provides greater security in addition to a re-programmable technological system, unlike the physical SIM card. The subscriber’s personal information is not contained within the e-SIM but with the service providers, thus enhancing its effectiveness. An e-SIM enables the consumers to effectively shift carriers between the T-Mobile and Sprint without physical movement, thus supportive of security systems. Despite the security measures put into place, e-SIM like any other SIM card experiences information theft. Therefore, the service providers should encounter the emerging fraudster effects by proper monitoring of the network system to enable security restrictions. The system should induce strict conditions that enable the evaluation and differentiation between the IoT and the non-IoT devices during their operation. 09 30 2020 184 186 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4358.099320 https://www.ijrte.org/portfolio-item/C4358099320/ Faculty of Computing and Software Engineering, Amit, Atbaminch University, Arbaminch, Ethiopia. Jenifer Mahilraj The spread over of huge amount of information in the vast area of internet makes difficult for the users to obtain the search items that are relevant to them. The adoption of web usage mining helps to discover the accurate search results that satisfy their requirements. To fulfill their need, it is necessary to know their preferences of search at various contexts. In general, the user profiles are used to determine the taste of the users. The traditional method of user profiling does not provide a complete detail regarding their search. In addition, the search preference of the individuals varies in accordance with time and location. The user profiles do not update the dynamic location changes of the users. The traditional location based recommendation systems suggest the search results based on their location to compensate the dynamic preferences of the users. The drawbacks of the conventional systems are resolved by the Location and User Profile (LUP) based recommendation system. To attain a higher user satisfaction by providing accurate search results, a trajectory based location prediction and enriched ontological user profiles to recommend the appropriate websites to the users is proposed in this paper. In this article, we suggest a novel method for predicting the location of a user’s profile using Semantic Trajectory Pattern (STP), based on both the place and semantic features of user trajectories. Our prediction model ‘s central concept is based on a novel cluster-based prediction approach that evaluates the location of user search data based on the regular activities of related users in the same cluster, calculated by evaluating the typical behavior of users in semantic trajectories. The combination of location information along with enriched ontological user profiles improves the efficiency of the proposed web recommendation system. The experimental results are evaluated using recall, precision and F-measure metrics. 09 30 2020 250 257 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4363.099320 https://www.ijrte.org/portfolio-item/C4363099320/ Professor, Department of Physics & Electronics, Dr. Ram Manohar Lohia Avadh University, Ayodhya, India. Sachchidanand Shukla Pratima Soni Research Scholar, Department of Physics & Electronics, Dr. Ram Manohar Lohia Avadh University, Ayodhya, India. Naresh Kumar Chaudhary Associate Professor, Department of Physics & Electronics, Dr. Ram Manohar Lohia Avadh University, Ayodhya, India. Geetika Srivastava Associate Professor, Department of Physics & Electronics, Dr. Ram Manohar Lohia Avadh University, Ayodhya, India. A new PSpice Model of BJT and JFET is proposed and its hybrid combination is used in Sziklai pair topology to design small signal amplifier. The proposed amplifier with maximum voltage gain 30.41, maximum current gain 43.05 and THD 2.44% is capable of amplifying low magnitude signals in a frequency range distributed from 3.035Hz to 93.808Hz. This feature explores the possibility to use proposed amplifier circuit in EEG, seismographs and underwater communication circuits. Three different circuit/device combinations are also exposed during the exploration of proposed amplifier and therefore mentioned with primary details. Qualitative behaviour, e.g. temperature dependency, noise behaviour, effect of the variation of biasing resistances and capacitors, small signal AC analysis etc., of the proposed circuit, is also studied to observe its performance under different environment. 09 30 2020 217 223 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4365.099320 https://www.ijrte.org/portfolio-item/C4365099320/ Research Scholar, Karnataka State Akkamahadevi Women’s University, Vijapura, Karnataka, India. Roopa K.V Dr. Sanjeev Kumar K.M, Kumar K.M Professor, Department of MBA, Karnataka State Akkamahadevi Women’s University, Vijapura, Karnataka, India. Digitalization has transformed brick and motor fashion-oriented business to one tap convenient business through smart phones via mobile applications. The digital age is more inclined towards fashion and apparel due to ample exposure of current trends in fashion industry through internet, social media, travelling, cultural exchange and others. The study emphasized on discovering the online fashion and apparel buying behavior, satisfaction level, and exploring the most influential factors towards the digital consumers for online fashion and apparel shopping by analyzing 256 respondents through convenient and judgmental sampling. Data is analyzed through Factor analysis and multiple regression. The study reveals that Price sensitivity factors has significant weightage towards online fashion and apparel shopping like flash sales, loyalty programs and points, spike sales- exciting offers on all categories for limited period, cashback offers, Discounts and offers. 09 30 2020 236 242 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4368.099320 https://www.ijrte.org/portfolio-item/C4368099320/ Assistant Professor, Department of Computer Science, AKNU, Rajahmundry, (A.P.), India. T. Tritva Jyothi Kiran Transfer learning is one of the most amazing concepts in machine learning and A.I. Transfer learning is completely unsupervised model. Transfer learning is a machine learning technique in which a network that has been trained to perform a specific task is being reused or repurposed as a starting point to perform another similar task. For this work I used ImageNet Dataset and MobileNet model to analyse Accuracy performance of my Deep Transform learning model on GPU of Intel® Core™ i3-7100U CPU using TensorFlow 2.0 Hub and Keras. ImageNet is an open source Large-Scale dataset of images consisting of 1000 classes and over 1.5 million images. And my overall idea is to analyse accuracy of Vision performance on the very poor network configuration. This work reached an Accuracy almost near to 100% on GPU of Intel® Core™ i3-7100U CPU which is great result with datasets used in this work are not easy to deal and having a lot of classes. That’s why it’s impacting the performance of the network. To classify and predict from tons of images from more classes on low configured network is really challenging one, it’s a great thing the computer vision accuracy showed an excellent vision nearly 100% on GPU in my work. 09 30 2020 224 227 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4402.099320 https://www.ijrte.org/portfolio-item/C4402099320/ Department of Electronics Engineering, S.S.V.P.S College of Engineering, Maharashtra, India. Shreerang J.More Pranav S. Patil Department of Electronics and Telecommunication Engineering, S.S.V.P.S College of Engineering, Maharashtra, India. Jitendra M. More Head of More Engineering Classes and Robotics Training Center Dhule, Maharashtra, India. Prayag S. Patil Department of Design and Automation, Vellore Institute of Technology, Vellore, India. Satish S. Marathe Department of Automotive Engineering, Vel Tech University, Chennai, India. In this paper, COVID 19 centre monitoring and management system has been proposed and integration of different sensor network with Internet of Things (IoT). The sensors implemented can communicate with data collection and processing unit. The data collection done by that unit can directly transferred to cloud using internet connectivity at COVID 19 centre. Therefore work aimed to propose COVID 19 centre management with IoT based approach to handle medical services and patient monitoring and treatment work flow. In the experimented model, Node MCU ESP8266 controller and temperature sensor (DHT11) are integrated. A system has capability to monitor and control COVID 19 centre services and patient monitoring via remote connection. It is evaluated with three temperature sensors connected to measure temperature of patients. Mobile based blynk has been utilized for the cloud based IoT implementation. Sensor sends data over blynk server and then can be seen anywhere using smart phone application. In addition, when patient get fever more than regular value, an alert was sent to authority in a quick time. After results, it is indicated that the developed system has effective potential to work in pandemic situation and has technological feasibility. The benefits of implemented research methods are useful in digital health management in pandemic scenario. Even hospitals, COVID centers, intensive care unit (ICU) can be operated effectively and patient diagnosis application based on online database has wide scope in the area of internet of things and patient health management. 09 30 2020 258 263 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4404.099320 https://www.ijrte.org/portfolio-item/C4404099320/ Professor, Department of Civil Law, Tashkent State University of Law, Tashkent, Uzbekistan. Baratov Mirodilzhon Tukhtashev Khikmatilla Department of Tashkent State University of Law, Tashkent, Uzbekistan. the article analyzes the stages of privatization of non-agricultural land and the stages of their development. It also analyzed the theoretical aspects and studied the peculiarities of developed countries Peru, Poland, France and the United States in the area of land privatization. In the article recommendations and conclusions on the development of existing legislation were developed based on foreign and domestic experience in land privatization. 09 30 2020 285 289 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4405.099320 https://www.ijrte.org/portfolio-item/C4405099320/ Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Mehareethaa K.V Chaarumathi P Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Divya S.R Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Divyajothi R Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Kamalkumar V Department of Electrical and Electrical Engineering, KPR Institute of Engineering and Technology, Coimbatore, India. Even though there are a lot of advancements in technology, there have been an increased number of devastating losses in the field of fire-fighting. Fire accidents that occur in industries like atomic power plants, petroleum refineries, chemical factories and other large-scale fire industries end in quite serious consequences which can cause injuries or even death of individuals. Therefore, this paper is enhanced to develop an automated fire extinguishing robotic vehicle that saves the lives of firefighters and other persons in those areas. The proposed robotic vehicle is controlled using specified speech commands. The language input is more familiar which makes interaction with the robotic vehicle much easier. The advantages of voice-controlled robots are hands-free and rapid data input operations. The speech recognition process is done in such a way that it recognizes specified commands from the user and the designed robot navigates based on the instructions via the speech commands. The fire can be extinguished using a water tank that is fitted along with the robotic vehicle. Consequently, the site of fire is live monitored using ESP 32 and the status of the fire zone is updated to the user through message. 09 30 2020 264 267 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4407.099320 https://www.ijrte.org/portfolio-item/C4407099320/ Department of Electronics and Telecommunication‟s, PVG‟s College of Engineering, Pune, India. Aditya Kaduskar Omkar Vengurlekar Department of Electronics and Telecommunication‟s, PVG‟s College of Engineering, Pune, India. Varunraj Shinde Department of Electronics and Telecommunication‟s, PVG‟s College of Engineering, Pune, India. Bluetooth Low Energy or BLE is a technology targeting mostly small-scale IoT applications including wearables and broadcasting beacons that require devices to send small amounts of data using minimal power. This paper focuses on our implementation, which is a system, designed to filter RSSI (Received Signal Strength Indicator), calculate the co-ordinates of a BLE device that is programmed as a Beacon and display the coordinates. Since RSSI is susceptible to noise and a downgrade in its reliability is unavoidable, several filtration methods have been used. The ‘Kalman – Histogram’ method, which incorporates the usage of a histogram of the RSSI readings along with the Kalman filter, is our own approach to tackle issues regarding noisy RSSI readings. The localization of stationary ‘Assets’, has been evaluated using the Trilateration algorithm: a result in mathematics which is used to locate a single point using its distance from three or more other points. The purpose of this research work is to provide a comparative result analysis of the results obtained using the aforementioned filters, indicating the effect of these filters on our localization system. As our research suggests, the ‘Kalman – Histogram’ filter performs better as compared to other filters and can be used in localization applications for better accuracy. 09 30 2020 290 299 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4413.099320 https://www.ijrte.org/portfolio-item/C4413099320/ Department of Mechanical Engineering, Faculty of Engineering, Universiti Pertahanan Nasional Malaysia (UPNM) National Defense University of Malaysia (NDUM) Kem Sg. Besi, Kuala Lumpur, Malaysia. Aidy Ali M.F Abdullah Department of Mechanical Engineering, Faculty of Engineering, Universiti Pertahanan Nasional Malaysia (UPNM) National Defense University of Malaysia (NDUM) Kem Sg. Besi, Kuala Lumpur, Malaysia. M.K. Faidzi Department of Mechanical Engineering, Faculty of Engineering, Universiti Pertahanan Nasional Malaysia (UPNM) National Defense University of Malaysia (NDUM) Kem Sg. Besi, Kuala Lumpur, Malaysia. Kannan Rassiah Department of Mechanical Engineering, Politeknik Port Dickson, Km 14. Jalan Pantai, Si Rusa, Negeri Sembilan, Malaysia. It is evident that laminated reinforced composite are successfully prolonging the life of composites compared to particle and fiber type of reinforced composites method. The question on how these laminated composites take up the fatigue loading is crucial in order to give sound confident to industry replacing their design from metal to composites based. The lack of confident and uncertainties’ life of composites components become an issue to designer to shift from metal based to composites based especially when the design required to be done in short time. This review gives a clear picture the state of fatigue life modelling and the life prediction of laminated composites structures. The types of model are favorable when it is accurate, simple and required less input parameters. In the end, this review gives clear pictures on mechanism that involve and the fundamental of formula that available at present. 09 30 2020 268 278 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4415.099320 https://www.ijrte.org/portfolio-item/C4415099320/ Assistant Professor, Department of Computer Science, National College for Women, Machhiwara, Punjab, India. Palwinder Kaur Mangat Kamaljit Singh Saini Assistant Professor, Department of Computer Science, National College for Women, Machhiwara, Punjab, India. Personalized learning is being popular due to digitizations that enable a large number of technologies to support it. To predict students’ learning abilities, it is necessary to estimate their behavior to know about their weaknesses and strengths. If it is possible for teachers to predict in advance at-risk and dropout students, they can plan more effectively to handle them. We are describing in this paper various intelligent tutoring systems with Educational Data Mining, Predictive Learning Analytics, prediction of at-risk students at an earlier basis, how this prediction task is done. We are describing various prediction models that can be used to predict students’ behavior and how portable these predictive models are and the various risk prediction systems that are being used. 09 30 2020 300 305 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.C4417.099320 https://www.ijrte.org/portfolio-item/C4417099320/