Volume 6 Issue 3
Author's Name: M.Durairaj, R.Dinesh Kumar, K.S.Senthil Kumar, S.Dhivya Bharathi, V.Sharanya, T.Sathish
Abstract— the problems with downscaling MOS devices are briefly discussed in this study. Scaling problems like gate oxide tunneling, high electric field, power supply and threshold voltage scaling, hot carrier degradation, random doping fluctuation, parasitic resistance and capacitance, and short channel effect should be thoroughly understood in order to maintain improvement in device density. To maintain the high-density pace, the microelectronics industry may need to move away from conventional MOSFET-based standards and toward those based on molecular nanostructure devices.
Author's Name: S.Ramanathan and M.Deepak
Abstract— In IoT arrange is the technique for transferring new code or modifying the reasonableness of existing code. For security reasons, each code update ought to be authenticated to ignore unauthenticated from mounting malignant code with in the IoT. Totally existing reinventing conventions depend on the incorporated technique wherein single the base station has the position to inductee rewrite the programming. On the other hand, it is required and some of the time required for different approved system clients to simultaneously and straightforwardly reinvent sensor nodes while excluding the base station, which is referenced to as disseminated reconstructing of program. The system vender can even allot distinctive reinventing benefits to various clients Very as of late, a novel ensured and appropriated reconstructing program convention named Stacking Dilated CNN Authorized Secured Protocol has been proposed, which is the principal exertion of its sort. Alternately, right now, distinguish a trademark configuration deficiency in the client preprocessing period of SDASP and approve that it is defenseless to a pantomime assault by which an enemy can basically imitate any approved client to finish reinventing. Thusly, we propose a straightforward adjustment to fix the perceived security issue without losing any highlights of. Stacking Dilated CNN Authorized Secured Protocol for IoT Security. Every single client need to confirm the sensor in its benefit list before sending the code picture.
Author's Name: R.Tamilamuthan, Dr.G.Irin Loretta, A.Vijayalakshmi, Dr.P.Yamunaa, Mr.A.Antonycharles, Dr.S.Dinakar Raj
Abstract—Recent advancements in renewable energy have created a need for both high step-up and high efficiency dc- dc converters. These needs have typically been addressed with converters using high frequency transformers to achieve the desired gain. The transformer design, however, is challenging. This paper presents a high step-up current fed converter based on the classical Cockcroft-Walton (CW) multiplier. The capacitor ladder allows for high voltage gains without a transformer. The cascaded structure limits the voltage stresses in the converter stages, even for high gains. Being current-fed, the converter (unlike traditional CW multipliers) allows the output voltage to be efficiently controlled. In addition, the converter supports multiple input operation without modifying the topology. This makes the converter especially suitable for photovoltaic applications where high gain, high efficiency, small converter size and maximum power point tracking are required. Design equations, a dynamic model, and possible control algorithms are presented. The converter operation was verified using digital simulation and a 450 W prototype converter.
Author's Name: Anilkumar, Sounthar Rasu, Dhilipkumar
Abstract—Earth is covered by 71% of water but unfortunately only 5% of water is useful. To save water it has become a key issue. In order to conserve water in a overhead tank there should be a Human intervention and it will be a difficult task to check the tank by approaching it by physical. To avoid this hand- operation the “Water level Indicator” is an IOT model that indicates water level and to control the level of water in a tank and also in any liquid containers. The motto of our assignment is to demonstrate the water level and as well as controlling with help of IOT and web applications. With help of sensor, water tank is divided into minimal and nominal degrees is shown by various complexions and percentages. The ultrasonic sensor plays a major role in this application, sensor is fitted the ceiling of water tank to sense the water level and the data is dispatched to the web utility through the NODE MCU. The web application is a user-friendly app which shoes the water level in the tank. With our approach it is easy, simple and reliable to keep track on water level in an overhead tank without any shortage and over flowing of water.
Author's Name: R.Balamurugan, M.Gopal and S.Kannan
Abstract—This paper discusses about The current boom started around 2009 when so-called deep artificial neural networks began outperforming other established models on a number of important benchmarks. Deep neural networks are now the state-of-the-art machine learning models across a variety of areas, from image analysis to natural language processing, and widely deployed in academia and industry. These developments have a huge potential for medical imaging technology, medical data analysis, medical diagnostics and healthcare in general, slowly being realized. We provide a short overview of recent advances and some associated challenges in machine learning applied to medical image processing and image analysis. As this has become a very broad and fast expanding field we will not survey the entire landscape of applications, but put particular focus on deep learning in MRI.
Author's Name: S.S.Vasantha Raja, Dr R.Palson Kennedy, S. Jonisha, T.Bersikin Libina
Abstract—Data deduplication is one of important data compression techniques for eliminating duplicate copies of repeating data, and has been widely used in cloud storage to reduce the amount of storage space and save bandwidth. To protect the confidentiality of sensitive data while supporting deduplication, the convergent encryption technique has been proposed to encrypt the data before outsourcing. To better protect data security, this project makes the first attempt to formally address the problem of authorized data deduplication. Different from traditional deduplication systems, the differential privileges of users are further considered induplicate check besides the data itself. We also present several new deduplication constructions supporting authorized duplicate check in hybrid cloud architecture. Security analysis demonstrates that our scheme is secure in terms of the definitions specified in the proposed security model. As a proof of concept, the proposed work implements a prototype of our proposed authorized duplicate check scheme and conduct test bed experiments using our prototype. The proposed work shows that our proposed authorized duplicate check scheme incurs minimal overhead compared to normal operations.
Author's Name: Ankit yadav and Simrana
Abstract—This paper discusses about the analysis and detection of brain tumor and Alzheimer’s disease. A digital MRI scan is used for this purpose. Medical image processing and analysis tasks are complex and diverse at the technical level. There is an array of technologies including reconstruction, enhancement, restoration, classification, detection, segmentation and registration that are combined with multiple image modalities and numerous applications are formed and should be addressed. AI-based tools are developed to support the assessment of disease severity and recently there are tools for assessing treatment and predicting treatment success. Finally, numerous studies in fields like clinical neuroscience have shown that AI-based image evaluation can identify complex imaging patterns that are not perceptible with visual radiologic evaluation.
Author's Name: Dr.G.Irin Loretta, A.Vijayalakshmi, Dr.P.Yamunaa, A.Antonycharles, Dr.S.Dinakar Raj, S.L.Sreedevi.
Abstract—This paper concerns the automatic smart solar radiation tracker dedicated to photovoltaic panels. The proposed tracking system ensures optimum generation of electrical power by proper orientation of PV panels while consuming minimal energy. The design criteria are based on controlling the panel’s position by automatic rotation throughout two DC motors only at certain times during the day. The followed methodology uses a microcontroller algorithm to redirect the solar panels in accordance with the actual coordinates of the sun. The idea is applicable to any PV system at any geographical location as panel rotation is changed according to the tilt and azimuth angles. This leads to capturing maximum radiation at any given time. Moreover, its power consumption is low due to its working mechanism and automatic sleep mode feature while not in use. Results have proved its cost-effectiveness, energy- efficiency, simplicity, and reliability in operation under different weather conditions.
Author's Name: Kurnal Rajesh and Tamim banu
Abstract—This paper discusses about the analysis and detection of brain tumor and Alzheimer’s disease. A digital MRI scan is used for this purpose. Medical image processing and analysis tasks are complex and diverse at the technical level. There is an array of technologies including reconstruction, enhancement, restoration, classification, detection, segmentation and registration that are combined with multiple image modalities and numerous applications are formed and should be addressed. AI-based tools are developed to support the assessment of disease severity and recently there are tools for assessing treatment and predicting treatment success. Finally, numerous studies in fields like clinical neuroscience have shown that AI-based image evaluation can identify complex imaging patterns that are not perceptible with visual radiologic evaluation.
Author's Name: Dr.P.Yamunaa, Mr.A.Antonycharles, Dr.S.Dinakar Raj, S.L. Sreedevi, R.Tamilamuthan, Dr.G.Irin Loretta
Abstract—In this paper, the power converters plays an important role in E-vehicle applications. The fast power conversion system produce more number of ripples and glitches in the power converter circuits. The properly designed system with the help of the opposite polarity of two switches and filter which is used to reduce the ripples. The integration of multiple energy sources is complicated in existing system. In order to reduce the ripple more effectively, the proposed system is designed with PV and battery source. Instead of C-filter, here the Pi-filter is installed and this will improve the efficiency more than in the existing project. The performance of the proposed topology is verified through MATLAB environment.
Author's Name: Madhavan P, Anil Kumar, Sivakumar R
Abstract—The main aim of the project is to develop multipurpose agricultural vehicle, for performing major agricultural operations like ploughing, seeding, harvesting. The modification includes fabricating a vehicle which is small, compact in size. The project is about a machine design which makes cultivation much simpler. The design of the chassis of the vehicle is made in such a way that it is suitable for the operations. The design for automatic seed modified the currently available plough tool in such a way that it with stand the load. The harvester (cutter) is designed and working by scotch yoke mechanism.
Author's Name: Dr Palson Kennedy R, Vasantha Raja S S, Jonisha S, Bersikin Libina T
Abstract—Alzheimer's is a type of dementia that causes problems with memory, thinking and behavior. Symptoms usually develop slowly and get worse over time, becoming severe enough to interfere with daily tasks. Dementia is not a specific disease. It’s an overall term that describes a group of symptoms associated with a decline in memory or other thinking skills severe enough to reduce a person’s ability to perform everyday activities. Alzheimer’s disease accounts for 60 to 80 percent of cases. Vascular dementia, which occurs after a stroke, is the second most common dementia type. But there are many other conditions that can cause symptoms of dementia, including some that are reversible, such as thyroid problems and vitamin deficiencies. Dementia is a general term for loss of memory and other mental abilities severe enough to interfere with daily life. It is caused by physical changes in the brain. Alzheimer’s is the most common type of dementia, but there are many kinds. The input data is taken from the dataset repository. In our process, we are taken the Alzheimer’s disease dataset as input. The system is developed the machine learning algorithm such as Support vector machine and logistic regression. The results shows that the performances metrics such as accuracy, sensitivity and specificity.
Author's Name:Vijayanarayanan A, Savithiri R, Lekha P, Abbirami R S
Abstract— Despite the medical community's astronomical expansion, understanding the activity of the human brain remains a challenging work for medical specialists, and the quantum of difficulty in treating conditions like epilepsy grows without any limits. As a result, an automatic system that can plot brain waves will be of tremendous assistance to the medical industry in mapping the same with human emotions and the collected information may be utilized to heal and prevent neural disorders using Machine Learning. In this work, the brain waves are obtained in the form of EEG waves and the same is denoised and filtered using renewed techniques and features such as temporal and spectral. These are extracted from the EEG data and fruitful insights are obtained from the same.
Author's Name: Radaraman and V.R.sharma
Abstract—This paper discusses about the analysis and detection of brain tumor and Alzheimer’s disease. A digital MRI scan is used for this purpose. Medical image processing and analysis tasks are complex and diverse at the technical level. There is an array of technologies including reconstruction, enhancement, restoration, classification, detection, segmentation and registration that are combined with multiple image modalities and numerous applications are formed and should be addressed. AI-based tools are developed to support the assessment of disease severity and recently there are tools for assessing treatment and predicting treatment success. Finally, numerous studies in fields like clinical neuroscience have shown that AI-based image evaluation can identify complex imaging patterns that are not perceptible with visual radiologic evaluation.
Author's Name: P. Madhavan, Dhilipkumar, R. Sivakumar, G. Loganathan
Abstract—Drilling is often experienced machining process in industry due to the need for element assembly in mechanical pieces and structures. Drilling of composite material appreciably affected by damage tendency of these materials under action of cutting forces (thrust forces and torque). So aim of this experiment is the drilling parameters (feed rate and cutting speed) in fiber metal laminates. The analysis of variance was performed to investigate the drilling characteristics of fiber metal laminates using HSS (High speed steel) two fluted standard twist drill bit in 4mm.The main purpose is to find the chip shape during diverse feed rates in fiber metal laminates materials.
Author's Name:Vijayanarayanan A, Savithiri R, Lekha P, Abbirami R , Noble Lourdhu
Abstract—Augmented Reality is a combination of a real and a computer-generated or virtual world. It is achieved by augmenting computer-generated images on real world. It is of four types namely marker based, marker less, projection based and superimposition based augmented reality. It has many applications in the real world. AR is used in various fields such as medical, education, manufacturing, robotics and entertainment. Augmented reality comes under the field of mixed reality. It can be considered as an inverse reflection of Virtual Reality. They both have certain similarities and differences. This paper also gives us knowledge regarding those major threats that augmented reality will face in the near future and about its current and future applications. It provides a comprehensive study of Augmented Reality. One of the challenges of AR is to align virtual data with the environment. A marker-based approach solves the problem using visual markers, e.g 2D barcodes, detectable with computer vision methods. We discuss how different marker types and marker identification and detection methods affect the performance of the AR application and how to select the most suitable approach for a given application..
Author's Name:A.M. Kalpana Devi; S. Arulanantham; R. Kalaivanan; M. Gomathi
Abstract— Smart meters are used in smart buildings to regulate streetlights (SLs) that enhance implementation performance by making evaluations of electricity parameters and illumination levels easily accessible. Temporary high-resolution data is needed in places where smart meters are being used in order to increase SLs' energy effectiveness (EE). Because of its low expenditure, secure connections, and extended range both inside and outside, long range (LoRa) is a perfect wireless communication technology for usage in smart urban. To do this, a low-cost new scheme has been developed and thoroughly tested by creating three devices based on the Arduino open-source electrical framework: the Control device for Street Lights (CSL), Lighting Level Device (LLD), and Gateway LoRa Network (GLN).
Author's Name:G.Charulatha, Kurtideepa Bhol, B.Kaleeswari, K.Lakshmi Priya, B.Sundari, M.Angeline Flashy
Abstract— This study describes the development of a Field Programmable Gate Array (FPGA)-based Orthogonal Frequency Division Multiplexing (WOFDM) transceiver (FPGA).Utilizing VHDL and XILINX ISE, a Wavelet transform-based Orthogonal Frequency Division Multiplexing (WOFDM) Transceiver Model is created. In order to test a wavelet transform-based orthogonal frequency division multiplexing (WOFDM) transceiver utilising Modelsim, random data was created using a linear-feedback shift register (LFSR).
Author's Name: R.Karthikeyan; S.Ramkumar
Abstract—The Wireless Sensor Network (WSN) has three critical issues as like network lifetime, saving energy and security. A sensor node has limited battery power so it does need an effective key distribution and management mechanism for a safe communication. In the research literatures a massive key supply and administration methodology had been proposed. Thus, there exists a literature report of numerous schemes in WSNs for Key management and done with a wide analysis to classify the available techniques of key management and the expectable network security on them is studied. In this method a secure efficient key management scheme is proposed with the help of Ant Lion Optimization (ALO) for WSN. The aim of this method is to obtain improved security strength with cost effective. The nature of the ant lion in hunting its prey is derived for the ALO algorithm which known for its meta-heuristic function. In resolving the optimization complications with the advantage of having a great speed and limited parameters it is proved to have a better performance.
Author's Name:M.Ramkumar Prabhu, G.Charulatha, S.Dhivya Bharathi, L.Saravanan, Abisha.J.Benelyn, N.Rajapandian
Abstract— one of the most difficult foundations for photonic integrated circuits is silicon photonics (PIC). After the enormous success of Silicon photonics, the Micro ring resonator is crucial to it. All-optical logic gates are a crucial component in the design of many all-optical systems for optical signal processing. Optical computing is one of the most well-liked study disciplines because of its high bit rate. Electro-optic conversion makes optical signal processing with digital gates even more challenging. As a result, all-optical system design is required. In this article, All-Optical Logic gates and Combinational Logic circuits are designed using a 2 x 2 Silicon Micro Ring Resonator Switch. The suggested concepts include ultrafast all-optical silicon circuits.
Author's Name:Krutideepa Bhol, M.Durairaj, L.Saravanan, B.Kaleeswari, M.Renuga, K.Kannadasan
Abstract— The multipliers play a vital role in performance of any electronics system. But the major drawback is it consumes more power and area. There are numerous methods and techniques available to improve performance while reducing power and space usage. The primary goal of any algorithm for multiplying numbers is to reduce the partial product summation. The booth method is one of the most popular and successful algorithms. In this paper, we propose and implement the booth algorithms for radix 4 and radix 8. In the multiplier encoding, the partial products of the radix 4 algorithm are reduced to n/2, while the partial products of the radix 8 algorithm can be reduced to n/3. The Xilinx Vivado tool is used to produce the simulation results.
Author's Name:Gayathri G S, Vimala Devi A, Priya B, Kalaiarasi C, Deepika H
Abstract— Sign Language are a form of nonverbal communication in which visible bodily actions are used to communicate important messages, either in place of speech or together and in parallel with spoken words. Sign Language include movement of the hands, face, or other parts of the body. Physical non-verbal communication such as purely expressive displays, proxemics, or displays of joint attention differ from gestures, which communicate specific messages. Gestures are culture-specific and may convey very different meanings in different social or cultural settings. This project is to train a Deep Learning algorithm capable of classifying images of different sign language, such as a alphabet letter, and numeric A comparison of the proposed and current algorithms reveals that the accuracy hand gesture types classification based on CNNs is higher than other algorithms. It is predicted that the success of the obtained results will increase if the CNN method is supported by adding extra feature extraction methods and classify successfully fruits types on image.
Author's Name:S.L. Sreedevi, R.Tamilamuthan, Dr.G.Irin Loretta, A.VijayaLakshmi, P.Yamunaa, Mr.A.Antonycharles
Abstract—An asymmetrical three state switching step up converter combining the benefits of magnetic coupling and voltage multiplier techniques is presented in this paper. The derivation procedure for the proposed topology is depicted. The new converter can achieve very high voltage gain and very low voltage stress on the power devices without high turn ratio and extreme duty cycles. Thus, the low voltage rated MOSFETs with low resistance can be selected to reduce the switching losses and cost. Moreover, the usage of voltage multiplier technique not only raises the voltage gain but also offers lossless passive clamp performance, so the voltage spikes across the main switches are alleviated and the leakage-inductor energy of the coupled-inductors can be recycled; Also, the interleaved structure is employed in the input side, which not only reduces the current stress through each power switch, but also constrains the input current ripple. In addition, the reverse-recovery problem of the diodes is alleviated, and the efficiency can be further improved. The operating principles and the steady-state analysis of the presented converter are discussed in detail. Finally, a prototype circuit with 400W nominal rating is implemented in the laboratory to verify the performance of the proposed converter.
Author's Name:Gayathri G S, Vimala Devi A, Priya B, Kalaiarasi C
Abstract—According to worldwide statistics, traffic accidents are the cause of a high percentage of violent deaths. Due to this and the wide use of video surveillance and intelligent traffic systems, an automated traffic accident detection approach becomes desirable for computer vision researchers. Over the past years, automatic traffic accident detection (ATAD) based on video has become one of the most promising applications in intelligent transportation and is playing a more and more important role in ensuring travel safety. Input is a video obtained via surveillance systems. Output results are acquired instantly in real-time and we would be notified if there’s a chance of collision or not. Our system is based on YOLO, Neural networks, and Deep Learning of object detection along with computer vision technology and several methods and algorithms. The existing systems are simple and effective but are only able to analyze the rear portion of the vehicle. Hence, not very effective and have low accuracy. We propose an automated, real-time system for the beforehand detection of vehicle collisions during high traffic and intimate the concerned people using the application. Our approach will work on still images, recorded- videos, and real- time live videos and will detect, classify, track and compute moving object velocity and direction using a convolution neural network. Using YOLO, it will be able to detect the front as well as the rearview of the vehicle and alert us beforehand. The Advantages of the proposed system are Secured, Interpretability, High accuracy, Lightweight model & fast processing. Moreover, this system can be used in the cases of Self-driving cars.
Author's Name: R. Thenmozhi, S. Karunakaran
Abstract—WSNs for Key management and done with a wide analysis to classify the available techniques of key management and the expectable network security on them is studied. In this method a secure efficient key management scheme is proposed with the help of Ant Lion Optimization (ALO) for WSN. The aim of this method is to obtain improved security strength with cost effective. The nature of the ant lion in hunting its prey is derived for the ALO algorithm which known for its meta-heuristic function. In resolving the optimization complications with the advantage of having a great speed and limited parameters it is proved to have a better performance.
