bluuebunny/crossref_metadata_2025 huggingface dataset:
Image Steganography embedded with Advance Encryption Standard (AES) securing with SHA-256
Authors:   Head of the Department, Department of Computer Applications, JSS Academy of Technical Education, Noida, India., Singhal* Mr. Vikas , Shukla Mr. Yash Kumar ,   Department of Computer Applications, JSS Academy of Technical Education, Noida, India., Prakash Dr. Navin ,   Department of Computer Applications, JSS Academy of Technical Education, Noida, India.
Published: June 2020

The proposed paper, works upon the idea of securing the classified information. This is achieved by using steganography which is an approach to hide classified information into some other file while maintaining its visual aids and secondly is cryptography which works upon textual data and transform it in a way that no one can comprehend it. The proposed method secures the weaker section which is the key in Advance Encryption Standard using hashing technique. The proposed work enhances the level of concealment of information from unauthorized access and for covert information exchange by encrypting the data and hiding it into a multimedia file known as image. The Secure Hash Algorithm 256 generates a hash key of 256 bits which is an unbreakable hashing technique after that the key is used in the process of encrypting the text with Advance Encryption Standard 256 which is an unbreakable encryption technique till this time and a cipher text is obtained. The cipher text is embedded into a target image using Least Significant Bit method which make changes in image that cannot be understand by naked eyes. The change in byte is 0.000002%. It ensures the visual quality of an image remains intact. The distortion or change in the image remains intermittent to human eyes. The major issue concerned for the government and security agencies such as were to exchange highly classified information in a secure and undetectable manner and abide the notion of hacker to comprehend any such information.
Cross Platform Application for Canteen Food Ordering System
Authors:   Department of Information Technology. MIT College of Engineering, Kothrud, Pune, India., Kogta* Anusha Kailas
Published: June 2020

Presently practically all Canteen across different colleges follow an extremely essential paper based or token-based framework to take orders from their staff/students. To make the framework increasingly productive and blunder free Canteen Automation System with cross stage application is proposed. The proposed application can be utilized by staff/students to put orders from anyplace independent of the stage on their gadgets. It empowers the clients to enlist on the web, see and select food things from the accessible menu and request food by simply choosing the food that the client needs to have utilizing the application in simple manner. The backend database will be refreshed subsequent to choosing the ideal food item from the menu card and it will be shown straightforwardly on the dashboard screen. The user will have a username and a secret key, by utilizing which he/she can sign in to the framework. Installments for the requests put should be possible online through the application. When the food is prepared the users will get a warning about the equivalent. The novel application decreases time utilization, administrative work, and human blunders as it is completely automatize. The online food requesting application sets up a food menu on the web and clients can undoubtedly put in the request according to their desire. Likewise with a food menu, clients can without much of a stretch track the requests. This application additionally gives a criticism framework where client can rate the food things. Additionally, the proposed application can suggest food, in view of the appraisals given by the client, the staff will be educated for the enhancements alongside the quality. The installment can be made on the web or pay-on-conveyance framework. For more made sure about requesting separate records are kept up for every client by giving them an ID and a secret key.
Extracting Maximum Power from PV Model using Fuzzy Logic Technique
Authors:   Galgotias College of Engineering and Technology, Greater Noida, UP, India., Chittora* Prakash , Shukla Sunvil ,   Galgotias College of Engineering and Technology, Greater Noida, UP, India., Yadav Sneha ,   Galgotias College of Engineering and Technology, Greater Noida, UP, India., Rathore Vimlesh Singh ,   Galgotias College of Engineering and Technology, Greater Noida, UP, India., Yadav Rakesh ,   Galgotias College of Engineering and Technology, Greater Noida, UP, India.
Published: June 2020

Electricity has become an inseparable part of our daily lives, its domain approach is boundless. Due to continuous use of energy resources (both renewable and non- renewable), it is our priority to conserve our resources. What is extracting power through PV cell? Solar energy is inexhaustible and can be extracted to electrical energy which eases the high consumption of non renewable resources. How to maximize the solar energy? Maximum energy can be obtained by some external aid in the form of MPPT. Why do we incorporate different techniques in a MPPT? To control the maintenance of operating point of PV array at its maximum peak Optimization of renewable energy has drastically increased over the past few decades and now capable of conservation at a higher level. Solar energy is prime example of renewable source. Not more than 50% solar irradiance is converted to solar energy without any external aid (MPPT). These techniques are mentioned in the literature work below and the respective algorithms as well.
Fake Biometric Detection for Face and Fingerprint
Authors:   School of Electronics Engineering, VIT University, Vellore, India., Yashwanth* Gandhapu , Kalyan Gokavarapu Manikanta ,   School of Electronics Engineering, VIT University, Vellore, India., Phanindra Singamsetty ,   School of Electronics Engineering, VIT University, Vellore, India., Priyadarsini M. Jasmine Pemeena ,   School of Electronics Engineering, VIT University, Vellore, India.
Published: June 2020

Face and Fingerprint acknowledgment is most popular and generally utilized as a biometric innovation as a result of their high ampleness and peculiarity. Besides the recognizing the user the present biometric systems have to face up with the new troubles like the spoofing attacks, like presenting a photo of the person to the camera. We study the anti-spoofing solutions for distinguishing between original and fake ones in both face and fingerprint in this paper. Generally, the face arrangement and portrayal that exhibits enhancements in coordinating execution over the more typical all-encompassing way to deal with face arrangement and depiction. Face detection, introduced in this paper, comprises the accompanying significant advances like facial features locating using Active Shape Models (ASM), Local Binary Pattern for feature extraction which is known for its texture classification, and Random Forest is used for classification. a fingerprint comprises of edges and valleys design otherwise called furrows. For Fingerprint detection, introduced in this paper includes the accompanying significant advances like Minutiae based local patches, SURF, and PHOG for feature extraction, and Random Forest is used for classification. The proposed methodologies are profoundly seriously contrasted and different as the investigation of the general picture nature of real biometric tests uncovers essential data for both face and fingerprints that might be productively used to segregate them from fake attributes.
Sensing Plant Disease Through the Utility of Deep Learning
Authors:   Assistant Professor, Department of Information Technology,R.M.D Engineering College,Thiruvallur, Tamilnadu, India., K* Mr. Saravanan , E Hareeharan ,   Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India., Irfan A Mohamed ,   Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India, Kumar JS Kalyan ,   Currently pursuing a bachelor’s degree in the stream Information Technology at R.M.D Engineering College,Thiruvallur,,Tamilnadu,India
Published: June 2020

Crop diseases were one of a serious hazard to food preservation, but that the rapid identification continues tough against numerous segments regarding the globe's way to the shortage of mandatory infrastructure. The series of stimulating global Smart phone penetration including up to date advances also latest traits paved the way for deep Learning knowledge practicing public data sets of infected crops and also healthy plant leaves gathered beneath controlled stipulations, A deep CNN to pick out various crop species including its illnesses(disease) is developed. To verify the feasibility of this method that the trained model has to reach a great efficiency on a held-out check set. Then with the help of online sources testing the model toward a collection of pictures gathered from depended. The random selection is only supported by this accuracy implies an awful lot on the pinnacle, general accuracy can be boosted by the more various sets of training records. Overall, The way of training the deep gaining knowledge of forms on increasingly huge plus publicly to be had image data-sets provides a clear pathway closer to telephone-assisted crop ailment report on a big global scale.
Ultra High Sensitive Disc Core PCF Chemical Sensor
Authors:   Electronics and communication Engineering, Vellore Institute of Technology, Vellore, India., Derick* R , Revathi S ,   Ph.D. in Optical Communication, Vellore Institute of Technology, Vellore, India.
Published: June 2020

In this article, a PCF sensor is designed and computed to detect chemicals in the refractive indices range of 1.52-1.56. In this proposed design, three and four concentric discs fabricated in the core which provides ultrahigh sensitivity and circular porous cladding pattern confines large fraction of power in core region. This novel proposed design demonstrates ultrahigh relative sensitivity 86.35% and 85.02% for four and three disc models. These sensing discs are filled with different sensing fluid. This proposed PCF design overcomes some experimental challenge such as PCF probe needs some displacement after filling the sensing liquid. These uniform circular sensing discs around the solid core supports better evanescent field matter interaction for sensing application.
Prediction of Emergency Admissions in Health Centres using Data Mining
Authors:   Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India., Abarna* A. , Amuthavani B. ,   Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India., Varshini V. ,   Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India., Chidambaram Dr. S. ,   Assistant Professor (SG), Department of Information Technology, National Engineering College, Kovilpatti, Tamilnadu, India.
Published: June 2020

In recent days, Emergency Department in healing centre is crowded, which causes negative consequences for patients. The internet is a crucial bridge for connecting patients with medical services. The data of the patients in healing centre contain data like physician note, x-ray radiology, discharge rundowns which are unstructured. In the predictive inspection, the free text is an essential part of patient records and it is necessary. To avoid this situation, the patient data should be analyzed, and the prediction should be made. Such a pathway can be created utilizing data mining procedures, which involves inspection and observing data to obtain vital data and knowledge through which decisions can be taken. Here the understanding focuses of intrigued are entered through a webpage that's put absent inside the database. Then administrative data from three different healing centre is applied to algorithms like Logistic Regression, CART decision tree for prediction, and its accuracy score is compared.
Exploring the Connection between Design Smells and Security Vulnerabilities
Authors:   College of Computer and Information Sciences, Prince Sultan University, Riyadh, Saudi Arabia., Alenezi Mamdouh , Akour* Mohammed ,   Al Yamamah University, Riyadh, Saudi Arabia, Yarmouk University, Irbid, Jordan.
Published: June 2020

Software quality aims at having quality as part of all aspects of the developed software. Design smells are considered enemies of the software source code quality. There are verities of design problems with different terminologies. Researchers and practitioners accept it as true that whenever there is a design smell, there is a security issue or concern. In this work, we want to explore the connection between design smells and security vulnerabilities. This work provides experimental evidence about this connection. We conducted an empirical study to explore the connection between design smells and security issues by evaluating four C# open-source systems. We found interesting results that show classes with design smells have more chances of having security issues.
Secure Login System using MD5 and AES Attribute Based Encryption Algorithm
Authors:   Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India., Wakhare* Sailee , Pise Dr Priya ,   Head, Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India., Birajdar Shivani ,   Student, Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India., Khalate Rutuja ,   Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India., Survase Sonali ,   Department of Computer Engineering, Indira College of Engineering and Management, Maharashtra, India.
Published: June 2020

The cryptographic hash work and symmetric encryption make it hard to break Passwords. Secure secret word stockpiling is a crucial perspective in framework dependent on secret word verification, which is as yet the most broadly utilized confirmation system, notwithstanding its some security imperfections. So basically, this work is based on providing security to the systems. Right now, propose a secret word verification structure that is intended for secure secret word stockpiling and could be effectively coordinated into existing confirmation frameworks. In our system, first, the got plain secret key from a customer is worked out a cryptographic hash work. At that point; the hashed secret word is changed over into a negative secret word. At last, the negative secret word is encoded into an Encrypted Negative Password (ENP) utilizing a symmetric-key calculation, and multi-emphasis encryption could be utilized to additionally improve security. The cryptographic hash work and symmetric encryption make it hard to split passwords from ENPs.We are going to use message digest i.e MD5 and AES algorithm for this purpose. Besides, there are loads of comparing ENPs for a given plain secret key, which makes precomputation assaults infeasible. The calculation multifaceted nature investigations and examinations show that the ENP could oppose query table assault and give more grounded secret word insurance under lexicon assault. It merits referencing that the ENP doesn't present additional components other than this, the ENP could in any case oppose precomputation assaults. We are giving shading coding framework just as key logger idea secret key reason. This shading code framework is hard to break to third person. In key lumberjack the keypad of framework is mix, each time it will change the grouping of catches of 0-9 numbers,subsequent to logging the client one otp will send to client email just as the key squence of the keypad will send on client email. By utilizing this otp and key grouping client will login to framework and it will do the further exchange process. This framework will valuable in future for any financial framework or any verification reason will be utilized.
A Real Time Engine Oil Monitoring System for Diagnosis of Lubricant using IoT Network
Authors:   M.E Scholar, Department of Mechanical Engineering, NITTTR Chandigarh, India., Kumar* Keshav , Pabla Dr B.S. ,   ex-Principal of Chandigarh College of Engineering and Technology (CCET) Chandigarh, India .Currently Professor at Mechanical Department , NITTTR Chandigarh , India.
Published: June 2020

In the modern days, Internet of Things (IoT) is smart communicating approach and creates an energetic impression in future of automobile industry. The advancement of IoT innovation in each field can be joined with the rising occasions setting off a requirement for a superior human way of life and its applications are vast and innumerable. One such application can be implied for the automobile industry to real time monitor the engine lubricant because in India, automobile mechanics still use conventional techniques of engine lubricant supervision. So in this paper, we present, an IoT technology based a real time Engine Oil Monitoring (EOM) System for diagnosis of engine lubricant. The main objective of this research paper is to reduce the human effort and to provide a smart sensing approach in automobile industry for maintaining real time engine oil conditions. EOM system is designed with the help of Arduino Nano with sensor devices named as Light Dependent Resistor (LDR) sensor for oil quality, LM35-Temperature sensor for temperature and Ultrasonic Sensor for oil level measurement in engine. Real time testing results shown in the connected display unit and experimental results of proposed EOM system using IoT network provides an efficient diagnosis results. EOM system is working properly that is observed in the experimental analysis section for two different scenario such as 10W-50 4T Scooter Engine Oil-Honda Activa 125 (1L) and 10W-30 Synthetic Engine Oil for Petrol Cars (3.5 L).
Digitalized Transformation, Social Networking and its Effect on Talent Acquisition
Authors:   Management, Amity University, Noida & Gitarattan International Business School, New Delhi, India., Wadhawan* Seema , Gupta Dr. Nidhi ,   Department of Management, Jagannath International Management School, New Delhi, India.
Published: June 2020

Advancement in technology has led to adoption of digitalized platforms for recruitment. Hiring in the current age is candidate driven. Competitive success of organizations has made it imperative for the recruiters to draw right talent. A vital appropriate digitalized professional social networking platform facilitates the recruiters to connect personally and professionally. The study attempts to analyze effectiveness of LinkedIn as a digitalized SNS platform by analyzing information content and website usability. Research was conducted through a structured questionnaire in Delhi, NCR with a sample size of 125 recruiters. Factor analysis was applied to identify varied attributes of the LinkedIn for its adoption by talent acquisition teams. Correlation and Regression enabled to study the influence of information and website quality on Intention to use LinkedIn. Findings of the study showed that perceived usefulness and information relevance influence the intention to use LinkedIn by recruiters the most.
Effect of Mixing of Rice Straw to Enhance the Characteristics of Soil
Authors:   Department of Civil Engineering, ITM University, Gwalior, India., Gautam* Nidhi , Agrawal Sohit ,   Associate Professor, Department of Civil Engineering, ITM University, Gwalior, India., Pandey Dr Mukesh ,   Professor, Department of Civil Engineering, ITM University Gwalior, (M.P), India., Nandwani Nikhil ,   Pro Term Lecturer, Department of Civil Engineering, ITM University Gwalior, India.
Published: June 2020

The foundation should have sufficient strength to support any land based structure. The soil surrounding the foundation plays a very important role. The strength of soil should be maintained according to the loading conditions. The soil reinforcement process helps to attain the required engineering properties in soil for the construction purpose. The necessity of enhancing soil properties came to the light from the beginning of construction work. Soil reinforcement was used in India in 1970’s but proper techniques and skilled labour was not available that's why in India ancient methods for soil reinforcement was using, show the soil reinforcement lots lost its importance. Recently, the demand for infrastructure, raw materials and fuel is improving show the process of soil reinforcement rising its importance up again. According to the better research, materials and equipment, soil reinforcement is the cost effective and popular method for improving the soil properties. Here, in this paper, soil reinforcement analysis completed with the mixing of soil with the powder produced from burning of rice straws fibers (parali) by an specific method. The main motive of this analysis is to find out the utilization of waste rice straw fiber materials in foundation construction without open burning of waste so we can reduce the pollution which create by the open burning of rice straw in the fields.
Automated Attendance Monitoring System using Face Detection and RFID Cards
Authors:   CSE, Axis Institute of Technology and Management, Kanpur, India, Jain* Professor Dr. Shubha , Dubey Assistant Professor Shail ,   CSE, Axis Institute of Technology and Management, Kanpur, India., Mishra Vaibhav ,   CSE, Axis Institute of Technology and Management, Kanpur, India., Mishra Durgesh Kumar ,   CSE, Axis Institute of Technology and Management, Kanpur, India.
Published: June 2020

The attendance serves the most important role in the academic life of any student. Most of the colleges follow the traditional approach of attendance in which the professor speaks out student’s name and record attendance. For each lecture, this repetition of attendance calling is actually wastage of time and a time-taken procedure for calculating attendance of each student. Here an automatic process is proposed which is based on image processing with radio-frequency identification to avoid the losses. In this project approach, there is a use of face detection & RFID cards. Firstly, use the pre-processing step for the face detection and RFID receiver for the RFID cards counting and the second step is to detect, recognize and then the face is matched with stored images in the database. In this paper, viola-Jones algorithm is used for face detection, in which first step of integral image is used for feature computation and Adaboost algorithm is used for feature selection in second step. Then for discarding the non-faces, cascade classifiers is used in the third step of algorithm. The working of this project is to detect and recognize the face and RFID cards then mark the attendance for the corresponding face in the database on matching the face and unique number to the stored dataset. Face detection and RFID cards will be used as input and the attendance will be marked as output. This project is being conferred as a clarification for the “Automated attendance monitoring system.” Here a system of automatic face detection and recognition is proposed to mark the attendance automatically in database. This will save the time of person who is using traditional pen & paper based approach for attendance and hence is a solution for the automated attendance monitoring system. RFID cards are very helpful here for tracking or monitoring the student/teacher/employees within the campus. This system can be used in schools, colleges for students as well as for teachers also and it can be also used in companies, hospitals and malls for maintain records of accurate attendance of their employees.
Autonomous Driving in a Multi-Lane Highway Environment
Authors:   Associate Professor, in Department of Information Security, at School of Computer Science and Engineering, Balasubramanian* Krithika , Kothari Akhil ,   Associate Professor, in Department of Information Security, at School of Computer Science and Engineering, Vijayakumar K. ,   Associate Professor, in Department of Information Security, at School of Computer Science and Engineering
Published: June 2020

Our goal through this paper is to figure out if it is possible to create an autonomous driving environment with a self-governing car with the help of a Q learning algorithm, a variant of Reinforcement Learning. To prepare and test-driving calculations, we convey a reproduced traffic framework simulation. We plan to split the environment around the agent vehicle into 16 states. The Q learning algorithms calculations, which are based on the Bellman’s Equations, will help quantify the quality of each state, helping the agent make the right decisions in the environment to avoid collisions. The World health organization reports highlight that in 2019 there have been over 5 million reported road accidents with approximately 1.5 million causalities and an increase of 167% in road accidents over the last 15 years. Through this paper, we want to push the envelope concerning creating a more secure driving environment and help avoid unfortunate accidents and loss of lives.
Behavior of RPC based Alkali Activated Material Compared with Conventional RPC
Authors:   Structural Engineering Department, Faculty of Engineering, Ain Shams University., Mayhoub* Ola A. , Nasr El-Sayed A.R. ,   Structural Engineering Department, Faculty of Engineering, Ain Shams University., Ali Yehia ,   Structural Engineering Department, Faculty of Engineering, Ain Shams University., Kohail Mohamed ,   Structural Engineering Department, Faculty of Engineering, Ain Shams University.
Published: June 2020

Reactive Powder Concrete (RPC) is a type of high strength concrete that is characterized by its excellent engineering properties. Inclusion of high silica fume contents and high cement demand are the most essential parameters in the development of RPC. Silica fume is a highly cost and unavailable material in many countries. Cement industry is not a sustainable eco-friendly process. High heat of hydration and many shrinkage cracks are also the most shortcomings obtained from cement utilization. Therefore, it’s urgently required to replace the utilization of silica fume and cement with partially or totally environmental friendly materials in the production of RPC. Metakaoline (MK) is a low cost, available and high pozzolanic material that can substitute silica fume in concrete. Alkali Activated Materials (AAM) binders are new technology that can totally replace the cement in concrete. The main objective of this study is to evaluate the performance of RPC based cement developed by MK and the performance of RPC based AAM under different curing conditions. Slag and MK are the used AAM in this research which are eco-friendly, sustainable and quite available materials in Egypt. The engineering properties like compressive strength and sorptivity are studied to investigate the behavior of RPC. It was concluded that thermal curing has shown a good impact in the performance of all RPC mixes. MK has shown satisfied results in the behavior of RPC based AAM under thermal curing. Slag shows better mechanical and durability properties that resemble the behavior of the conventional RPC based cement.
Effect of Partial Replacement of Sand and Cement with Lathe Scrap Fibre and Steel Fibre in Concrete
Authors:   Research Scholar, Department of Civil Engineering, ITM University Gwalior, India., Jain* Anurag , Agrawal Sohit ,   Assistant Professor, Department of Civil Engineering, ITM University Gwalior, India., Pandey Mukesh ,   Professor, Department of Civil Engineering, ITM University Gwalior, India., Thakur Abhishek ,   Assistant Professor, Department of Civil Engineering, ITM University Gwalior, India.
Published: June 2020

Aim of this investigation was to study the effect of lathe scrap fibre and steel fibre replacement in concrete at different percentage so that we can achieve an improved and more durable concrete comparative to conventional concrete. Concrete is weak in tension and good in compression and also it is less ductile therefore, to terminate those weaknesses of concrete reinforcement bar is combine with it, but the reinforcement bar can’t fulfil the requirement of mechanical strength of concrete so to fulfil the requirements lathe scrap fibre and steel fibre is added so that the better composite material is achievable. After the investigation on several researcher work, we find 1.2% to 1.5% of lathe scrap fibre or steel fibre replacement according to weight of concrete, this is the optimum replacement in concrete to improve mechanical strength. But according to another research paper in which fine aggregate is partially replaced by lathe scrap fibre at percentage of 15%, 30% and 60% by its weight and it also improves the mechanical strength in compare to conventional concrete. Therefore, the review study characterize the utilisation of lathe scrap fibre and steel fibre in FRC improves the tensile strength and provides better resistance for early crack development in concrete. And also inexpensive, easily available and furthermore best for retrofitting and shotcrete techniques.
Design of CCAA for Optimized Difference Patterns
Authors:   ECE, MallaReddy Engineering College(A), Hyderabad, India., Devi* Dr. G. S. K. Gayatri , Veni Dr S. Krishna ,   ECE, Gayatri Vidya Parishad College for Degree and PG Courses(A), Visakhapatnam, India.
Published: June 2020

Difference patterns find applications in target tracking radars for accurate target detection. Such patterns must be generated with minimum sidelobe levels to reduce the effect of interfering signals like clutter, jamming signals. The present work is focused on designing concentric circular arrays(CCA) of practical elements producing low sidelobe difference patterns using thinning. Simulated results are presented for 6 ring and 7 ring concentric circular antenna arrays.
Sickness Detection on the Leaves of the Tomato Plants by using Deep Learning
Authors:   Department of IT, VRSEC, Vijayawada, India., Madhavi* K. , Nuthakki Praveena ,   Department of IT, VRSEC, Vijayawada, India., Madhavilatha P. ,   Department of IT, VRSEC, Vijayawada, India.
Published: June 2020

The purpose of this work is to recognize diseases that occur on plants in tomato fields or in their nurseries. Thus, significant learning was used to perceive the various sicknesses on the leaves of tomato plants. In the assessment, it was pointed that the significant learning figuring should be run ceaselessly on the robot. So the robot will have the alternative to perceive the ailments of the plants while wandering truly or of course self-rulingly on the field or in the nursery. Also, illnesses can in like manner be recognized from close-up photographs taken from plants by sensors worked in produced nurseries. The assessed diseases in this assessment cause physical changes in the leaves of the tomato plant. These movements on the leaves can be seen with RGB cameras. In the past examinations, standard component extraction strategies on plant leaf pictures to perceive disorders have been used. In this assessment, significant learning systems were used to perceive disorders. Significant getting the hang of building decision was the key issue for the execution. So that, two unmistakable significant learning framework models were attempted first AlexNet and thereafter SqueezeNet. For both of these significant learning frameworks getting ready and endorsement were done on the Nvidia Jetson TX1. Tomato leaf pictures from the PlantVillage dataset has been used for the readiness. Ten unmistakable classes including sound pictures are used. Arranged frameworks are moreover taken a stab at the photos from the web.
Wind Mill Shaft Optimization Based on layer Orientation Angles using Composite Materials
Authors:   Assistant Professor, Department of Manufacturing processes & Renewable Energy, Dnyanshree Institute of Engineering & Technology, Sajjangad Road, Satara, Maharashtra, India., Pawar* Mrs. Swati Dhartiraj , Badde Mr. Rohit Pramod ,   Assistant Professor, Department of Manufacturing processes & Renewable Energy, Dnyanshree Institute of Engineering & Technology, Sajjangad Road, Satara, Maharashtra, India., Raut Ms. Trupti Gopal ,   Assistant Professor, Department of Manufacturing processes & Renewable Energy, Dnyanshree Institute of Engineering & Technology, Sajjangad Road, Satara, Maharashtra, India., Chorge Mr. Amit Sunil ,   Assistant Professor, Department of Manufacturing processes & Renewable Energy, Dnyanshree Institute of Engineering & Technology, Sajjangad Road, Satara, Maharashtra, India., Dixit Mr. Onkar Vijay ,   Assistant Professor, Department of Manufacturing processes & Renewable Energy, Dnyanshree Institute of Engineering & Technology, Sajjangad Road, Satara, Maharashtra, India.
Published: June 2020

This paper presents an application of Finite Element Analysis (FEA) for strength improvement of wind mill shaft. Also provides fundamental knowledge of transmission shaft analysis using composite material. The existing shaft is modelled using CATIA and analyzed using ANSYS 16.0. The results for stresses generated are shear stress 68.298MPa, von-mises stress 119.2MPa and deformation is 3.3905mm. First optimization is done based on fibre orientation angles of composite material. Further alternate material selection is done through study and optimization analysis is done for the same. Carbon epoxy-UD selected as material and gives final stresses as 22.974MPa and deformation is 1.255mm. The torsion deflections were obtained experimentally. The results of experimental study and FEA results are found same as infinite life.
Image Based Grading of Emphysema
Authors:   Department of Biomedical Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India, Haider* Nishi Shahnaj , Thomas Sibu ,   Department of Computer Science, C V Raman University, Bilaspur, Chhattisgarh, India, Shrivas Akhilesh Kumar ,   Department of Computer Science, C V Raman University, Bilaspur, Chhattisgarh, India
Published: June 2020

Emphysema is permanent abnormal enlargement of alveolar walls due to destruction of the alveolar tissues and thereby affecting the gas exchange process of lungs. Grading is usually done to rank the severity of the disease. This paper is a comprehensive review of the imaging based methods used to monitor the emphysema severity. This article aims at the identification of the best imaging method for emphysema grading. Correlation of imaging outcome with pulmonary function parameters is analyzed. Time frame of reviewed articles included is from 2002 to till date. In this review, the classification methods employed for grading emphysema are examined. The best grading method was chosen based on the superior performance obtained in comparison to all the existing work available so far in grading the severity of emphysema. Three-dimensional CT densitometry is found to be highly significant with a correlation coefficient of r = 0.97 at significance value, p < 0.001 for the classification of moderate to very severe emphysema as compared to pulmonary function test (PFT). Further research needs to be done to identify methods for evaluating the progress of emphysema during its mild stage.
Brain Tumor Detection from MRI Images using Image Processing
Authors:   Robotics & Mechatronics Engineering, University of Dhaka, Dhaka-1000, Bangladesh., Islam* Md. Ariful , Akhter Tanjima ,   Applied Mathematics, Noakhali Science & Technology University, Noakhali-3814, Bangladesh., Begum Amena ,   Information & Communication Technology, Comilla University, Cumilla, Hasan Md. Rakib ,   Information & Communication Technology, Comilla University, Cumilla, Rafi Farzana Sultana ,   Applied Mathematics, Noakhali Science & Technology University, Noakhali-3814, Bangladesh.
Published: June 2020

Brain Tumor has become one of the common diseases in the world which can be characterized as the unhindered expansion of atypical cells in brain and when compared to tumors in other areas of the body, it gives rise to a challenge for diagnosis. But in the development of this disease along with the well-established image processing system, diagnosis becomes much easier. The thrust of this project is to provide possible methodology for detecting size and region of tumor quickly from MRI image using region splitting, merging and growing based segmentation process within a short span of time. The whole process includes five stages namely Input as MRI images, preprocessing, enhancement of the image, image segmentation, feature extraction and classification of the tumor within boundary. Upon collection of MRI image, contrast enhancement and median filtering have used for enhancing the image and then segmentation process have done to detect the brain tumor. Graphical user interface has used for organizing input-output data and the algorithm has been designed by using MATLAB.
Optimal SVM with Features for MIR from Multi-Language
Authors:   Department of computer Science and Engineering, Vidyavardhaka College of Engineering, Mysuru, Vali* D. Khasim , Bhajantri Nagappa U ,   Department of computer Science and Engineering, Government College of Engineering, Chamarajanagara
Published: June 2020

Nowadays, the more attentiveness of humming scheme is MIR and query. Several existing works [1,3] are concentrated on the usage of Audio MIR and beat information which is computed by mechanical computer trial procedures. The design of music information retrieval is fundamentally working in search scheme. For a resourceful music search scheme, a few attributes measured to remove from the musical signal from dissimilar languages. For retrieval, model will consider optimal kernel Support Vector Machine (SVM) classifier, to produce a maximum signal retrieval rate in a short time. Here, entire analysis initially extracted some features from musical signal. Further, enhancing the retrieval level of proposed model Sequential Minimal Optimization (SMO) model utilized for SVM kernel function. In other words, the outcome demonstrates the work develop the consequences of the retrieval scheme. As of the consequences, the signal retrieval time has condensed by the highest precision of 97.3% through the optimal kernel SVM, which is edge over the contemporary effort.
Hydrogeophysical Assessment for Groundwater Resources In Lower Vellar Watershed, Cuddalore District, Tamilnadu, India
Authors:   Associate Professor, Department of Civil Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Tamilnadu, India, Karthikeyan* Dr. K. , Sivaprakasam Dr. S. ,   Associate Professor, Department of Civil Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Tamilnadu, India, Nagarajan Dr. N. ,   Associate Professor, Department of Civil Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Tamilnadu, India
Published: June 2020

Seventeen Vertical Electrical Soundings were carried away in vellar river Bank of Bhuvanagiri and Chidambaram Taluk, Cuddalore District, Tamil Nadu to classify the development and management through Artificial Recharge zone in alluvium formation and identify the sub-surface lithological series. The most electrode division used is 100m by Schlumberger pattern. Geologically, sedimentary rocks are alluvium and tertiary formations. The resistivity reports were interpreted by using IPI2WIN software. The construe outcome shows 3 and 4 layer strata. It has been prepared pseudo section in comparison with the subsurface strata to validate the results.
MPPT Controller based Nine Level Inverter using Solar Power Generation System
Authors:   Department of Electrical and Electronics Engineering, R.M.D.Engineering College, Kavaraipettai, India., P M* Kalpana , R Vanitha ,   Department of Electrical and Electronics Engineering, R.M.D.Engineering College, Kavaraipettai, India., P Priyadharshini ,   Department of Electrical and Electronics Engineering, R.M.D.Engineering College, Kavaraipettai, India., Maheswari M Uma ,   Department of Electrical and Electronics Engineering, R.M.D.Engineering College, Kavaraipettai, India.
Published: June 2020

This project proposed a solar power generation system is used for the MPPT (maximum power point tracker) controller in a nine-level inverter. The selection of the capacitor circuit is configured using nine-level inverter and a cascade-connected to the full-bridge power converter. The nine-level inverter contains seven powers. Electronic switches simplify the configuration of the circuit system. A single electronic power switch is switched to the high frequency at any time to generate a nine-level output voltage. The output of the photovoltaic solar panel system will be fed into an MPPT algorithm to obtain a maximum amount of energy from a photovoltaic system, and this technique is used for the generation of residential renewable energy. The output voltage of a photovoltaic solar system is completed by the use of the DC-DC power converter with independent voltage sources for an inverter and reduces the harmonics generated. The nine-level inverter reduced with switches in power generation.
64bit Hybrid Adder for ALU Design Applications
Authors:   School of Electronics, Vellore Institute of Technology, Vellore, India., Singaravelan* Hema , S. Ravi ,   School of Electronics, Vellore Institute of Technology, Vellore, India.
Published: June 2020

The Arithmetic Logic Unit is an important component of any Central Processing Unit. An improvement of the speed, area, and power consumption of an ALU directly promotes the performance of the system. Thus, optimization of the ALU design is necessary and for this reason several common adders such as the ripple carry adder, etc. and a proposed model of a 64bit hybrid adder were designed, and a comparative analysis of their performance was studied. The proposed hybrid adder was developed using an 8bit Ripple Carry adder that evaluates the LSB followed by a Carry skip adder block consisting of a 4bit Carry Skip Adder, an 8bit Carry Skip, another 8bit Carry Skip, followed by a 4bit Carry Skip Adder, and finally the MSB is calculated by a 32bit Carry Select Adder. The adders were designed in Verilog on ModelSim-Altera 10.1d (Quartus II 13.0sp1) and later the schematic was obtained on Genus Synthesis (RTL Compiler) of Cadence for ASIC design using 45nm technology. Each adder showed some advantages, but the proposed hybrid adder optimized all aspects of the model while increasing the speed of the device.
The Method of Logic Cyber Attack Detection of Abuse Functionality Type on Nginx Http-Server and Apache on the Basis of Fuzzy Logic
Authors:   postgraduate student, Military Institute of Telecommunication and Information technologies named after the Heroes of Kruty, Kiev, Ukraine., Fesokha* Vitalii , Subach Dr. Igor ,   doctor of technical science, associate professor, head of department, Institute of special communications and information security National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv, Ukraine., Kubrak Volodymyr ,   postgraduate student, Institute of special communications and information security National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kiev, Ukraine., Mykytiuk Artem ,   postgraduate student, Institute of special communications and information security National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kiev, Ukraine., Korotaiev Stanislav ,   engineer, Institute of special communications and information security National technical university of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kiev, Ukraine.
Published: June 2020

The article presents a method of abuse detection functionality of the most common open source http-servers Nginx and Apache, which currently implement a full web stack and serve more than 60% of traffic on the Internet. The proposed method is based on the application of the mathematical apparatus of fuzzy set theory and fuzzy inference to the selected analysis parameters corresponding to the properties of a logical cyber attack that realizes the vulnerability of web server data. To obtain the most accurate results of fuzzy inference the direction of adaptation of membership functions to the conditions of server operation (changes on the server and analysis of client behavior) based on the application of the mathematical apparatus of genetic algorithms is determined.
Design of Highly Sensitive Photonic Crystal Fiber for Sensing Harmful Chemicals
Authors:   Department of Electronics Engineering, VIT University, Vellore, India., Siva K* Naga , Kumar G Raj ,   Department of Electronics Engineering, VIT University, Vellore, India., Shankar Dr. T. ,   Associate Professor, Department of Electronics Engineering, VIT University, Vellore, India., S Chandru ,   Research Scholar, Department of Electronics Engineering, VIT University, Vellore, India., Rajesh Dr. A. ,   Associate Professor, Department of Electronics Engineering, VIT University, Vellore, India.
Published: June 2020

Highly sensitive Photonic Crystal Fiber (PCF) has been designed and investigated for sensing the most harmful chemicals that exist in the world. The proposed structure of PCF consists of a solid circular core in which the samples of the chemicals are to be filled, surrounded by a hexagonal air-hole ring. The outermost cladding region comprises circular air-holes arranged in a helical (spiral) manner. Moreover, the sensitivity ratio of the liquid samples is investigated with respect to the wavelength. Sensitivity is monitored by checking for different wavelengths that range from 0.4μm to 1.85μm. With this proposed structure, the relative sensitivity of the chemicals such as paraffin liquid (n=1.48), pyridine (n=1.51), and bromobenzene (n=1.56) are found to be 78.49%, 82.99%, and 89.34% respectively. The proposed PCF structure is used to detect chemicals and any liquids due to its high sensitivity, large effective mode area, and low confinement loss.
Vehicle Counting and Detection
Authors:   Assistant Professor, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India., Kumar* Ravula Arun , Kumar D. Sai Tharun ,   Student, pursuing final year, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India., kalyan K. ,   Student, pursuing final year, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India., Reddy B. Rohan Ram ,   Student, pursuing final year, Department of IT, Vardhaman College of Engineering, JNTUH, Hyderabad, India.
Published: June 2020

This paper describes about the system to count the number of vehicles on roads and highways by using adaptive background subtraction and blob tracking technologies. Overall, system requires a video stream captured from static cameras installed on roads and highways .The proposed system consists of four stages: 1) Adaptive background subtraction 2) image segmentation 3) vehicle counting 4) vehicle tracking. The necessity of tracing and counting the vehicles is helpful for traffic surveillance. The primary key features of the system are 1) Ability to count the vehicles 2) efficiency, to show that system would give the results with high perfection.