Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India最新文献
{"title":"Numerical Simulation and Design Validation of Ball Valve For class 150 bar using FEM","authors":"M. Kumar, P. Kumar","doi":"10.4108/EAI.16-5-2020.2304047","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304047","url":null,"abstract":"Valves are the gadget that regulate, directs and controls the flow of a fluids by various passage ways. Valve application are virtually used in every industrial process including boilers, mining, power generation, processing of oil, gas, petroleum, food manufacturing and many other fields. A ball valve is a flow block valve that controls the flow of a liquids by means of a rotary ball having a bore. In this Project, Geometric modelling of the ball valve is created by using CATIA software. Numerical simulation is carried out it with the help of finite element analysis method i.e. discretising the component by using ANSYS tool. Static Analysis of the ball valve is carried out by using ANSYS tool. These FEA result are validated through analytical calculations as per ASME standards. The main objective of this study is to design calculation of a ball valve as per ASME standard and compare the results with FEM.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129852209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Bharathi, K. Akshitha, M. Divyashree, BR Nagakrupa, JK Sindhu
{"title":"OTA Based 2nd Order Butterworth Filter For Mobile Communication using CMOS Technology","authors":"M. Bharathi, K. Akshitha, M. Divyashree, BR Nagakrupa, JK Sindhu","doi":"10.4108/EAI.16-5-2020.2304039","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304039","url":null,"abstract":". Communication is the process of transmitting knowledge from one person to another. Receivers have a vital role to play in communication. The main role of receivers is to replicate the message signal in electrical form from the wrapped transmitted signal. Receivers accept signals, such as radio waves and convert them into useful form. The type of receiver that is commonly used is the Direct Conversion Receiver (DCR) that translates the signal directly to the baseband frequency. In this paper, we are concentrating on the Low Pass filter to block unwanted signals from mixer stage. A 2nd order Butterworth filter is designed by implementing a active load differential amplifier &a active load common source amplifier, further the operational trans conductance is designed by using the above mentioned two circuits. The designed OTA is implemented with two capacitors at the input stage and at the output stage which makes it a Butterworth Filter.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126495268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of Sewage Treatment Plant for Dr. TTIT Campus","authors":"S. Ariff, Aamina Rizwan, K. Akshaya, T. Manikanta","doi":"10.4108/EAI.16-5-2020.2304027","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304027","url":null,"abstract":". Nowadays, water scarcity is the most hazardous threaten to the world and a major problem factor in future. Water sources both in surface and ground level are decreasing day by day due to human and natural activities. So, there is a necessity to recycle waste water for the future generation of the world, to avoid such conflicts related to water. All educational institutions do not have proper treatment unit for treating the sewage created by it. So, it is necessary to construct a sewage treatment plant. The project deals with the planning and designing of sewage treatment plant for Dr. T. Thimmaiah Institute of Technol-ogy TTIT) college campus. Sewage treatment is the process of eliminating contaminants from waste water that is household sewage, both runoff effluents domestic waste. It includes physical, chemical and biological processes to remove contaminants and produce treated waste water. Modern tool usage such as Auto cad and MS excel will be used in the designing process. The recycled water can be used for various purposes like water to gardening, toilet flushing, farming and other requirements.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117030127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ahmed Ejaz, Krishna Shankara Narayanan, A. Cooper, A. Singh
{"title":"Design and Development of Marine Data Collecting Wave Rider – Towards a New Paradigm","authors":"Ahmed Ejaz, Krishna Shankara Narayanan, A. Cooper, A. Singh","doi":"10.4108/EAI.16-5-2020.2304051","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304051","url":null,"abstract":". As generations of human beings continue to strive to explore the universe, a separate universe has remained largely unexplored. The marine world encompasses 75% of the earth yet very little is known about it. Currently there are only two ways of collecting marine or oceanic data, one is by the use of buoys and the second is by the use large machines that have to be deployed by heavily manned teams into localized areas in the ocean. The data collected from these localized areas is then expanded for the entire ocean by the use of mathe-matical probabilistic models. Thus, this research project focuses on the design and development of an autonomous device that can collect and transmit relevant oceanic & meteorological data to onshore data centers.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129577349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Jenitha, G. Amrutha, K. Kishore, K. Rohan, S. Sagar
{"title":"Skin Cancer Recognition and Detection Using Machine Learning Algorithm","authors":"A. Jenitha, G. Amrutha, K. Kishore, K. Rohan, S. Sagar","doi":"10.4108/EAI.16-5-2020.2304046","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304046","url":null,"abstract":"In this paper, we concentrate on the identification of skin cancer. The skin images are taken from a medical database which is a pre-processed image, which is given as input for different machine learning algorithm. The algorithm used is KNN classifier, SVM classifier, and CNN model. where these classifiers will classify whether a given image is cancerous or non-cancerous image. In case of the KNN and SVM the output is 80%, hence in CNN model substantial improvement in accuracy of cancer detection is obtained & it can classify the cancerous & Non-cancerous images efficiently. The process was conducted for test data, training data and validation data using different-images. The training dataset was trained with 100 epochs. The process obtained the accuracy of 97% in training result. in testing result obtained is 95% of accuracy and 96% for validation testing.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114489927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design and Structural Mechanics of a Modified Wood – Composite Integrated Propeller Blade","authors":"S. Jangam, S. Verma, K. Ramesha","doi":"10.4108/EAI.16-5-2020.2304101","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304101","url":null,"abstract":"Aircraft Propellers are the key components of turboprop type engines which are used for thrust generation for the aircraft. Metallic propellers which are in use for long time are being replaced by composite type equivalent propeller due to their high specific strength and modulus. Composite material is used in combination with engineered wooden core offers refined dynamic character-istics with enhanced damping as well as greater stiffness Better damping char-acteristics reduces the vibrations due to external excitation sources resulting in higher fatigue life. In this study, effort will be made to design and analyze a composite bladed propeller for a typical light transport aircraft. Scope of the work in this project includes design, modeling and detailed finite element analysis of an integrated composite – engineered wood propeller blade. The structural analysis includes static structural and modal analysis for induced stresses, deformations, its natural frequencies and associated mode shapes.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126933380","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
R. Divakaran, G. Nandini, N. Pavithra, D. Priya, B. Y. Dharshini
{"title":"IoT Based Automatic Control of Sun Tracking Solar Panel for High Power Generation","authors":"R. Divakaran, G. Nandini, N. Pavithra, D. Priya, B. Y. Dharshini","doi":"10.4108/EAI.16-5-2020.2304029","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304029","url":null,"abstract":". The conversion of sun light into electric energy through solar panels is significant compared to other renewable sources. The energy extracted from the solar panel depends on solar light incident on the solar panel, but the con-stant variation in the sun’s position decreases the power generation efficiency. In order to extract maximal energy, the solar panel should face the sunlight at normal angle throughout the day. Solar tracker tilts the panel towards the sun light direction. The automatic sun tracking solar panel will harness a significant amount of energy from available sun light. Single axis type of solar tracker is used which has one degree of freedom of rotation. Closed loop tracking approach is used with LDR’s, an ATmega2560 microcontroller and a DC motor forming the principal components of the circuit model. Based on the signals generated from LDR’s, microcontroller provides signals to the motor for tilting the solar panel towards the direction of maximum incident sun rays, which will increase the power generation efficiency. The efficiency of the proposed system is 71%. The information regarding status of solar tracking system is shared through IoT.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132621336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Srinivasa, S. Deekshitha, U. Sushil, N. Dhiya, N. Kumar
{"title":"A High Performance Glaucoma Screening Technique Using CNN Architecture","authors":"J. Srinivasa, S. Deekshitha, U. Sushil, N. Dhiya, N. Kumar","doi":"10.4108/EAI.16-5-2020.2304033","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304033","url":null,"abstract":"Glaucoma is a second irreversible eye disease across the world that can lead to blindness, if not treated early. At an early stage, it is very tedious to detect the disease as it does not show any symptoms. So, we build a super-vised method for convolutional neural network to detect the disease as early as possible. In our model ACRIMA data set of 705 images are used where 396 are glaucomatous images and 309 are non-glaucomatous images. The complete data set is divided into 80% for training and 20% for testing. The data set is preprocessed before giving to the CNN model. Our CNN model consists of 8 layers where, 4 convolutional layers for feature extraction and 4 is fully connected layer to classify between glaucomatous and non-glaucomatous imag-es. The best performance is obtained at the learning rate and epochs of 0.0001 and 100.In this work we evaluated the performance of Glaucoma-Deep system by plotting confusion matrix, the sensitivity, specificity, accuracy, precision (PRC) statistical measures and AUC of0.99","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123783176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Saravanakumar, P. Senthilvel, D. Thirupurasundari, P. Periyasamy, K. Vijayakumar
{"title":"Plant syndrome recognition by Gigapixel Image using Convolutional Neural Network","authors":"C. Saravanakumar, P. Senthilvel, D. Thirupurasundari, P. Periyasamy, K. Vijayakumar","doi":"10.4108/EAI.16-5-2020.2304207","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304207","url":null,"abstract":". The plants play a vital role in our day-to-day life. It is important to monitor the health of the plants. Generally, plant diseases are identified using image processing techniques. In those techniques, the input images of plants are of an only megapixel size. In this method image processing of plants is done using a gigapixel input image that covers the entire area of the crop. To process this huge gigapixel image a method called Neural Image Compression(NIC) is used. The identification of the plant diseases is done using Convolutional Neural Networks(CNN) from the neutrally compressed gigapixel image. CNN is trained using a probability estimation algorithm to identify the affected portion of the plant crop.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127857580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Certain Investigations on Bank Customer and Relationship Improvement using Machine Learning","authors":"J. Duela, Dioline Sara","doi":"10.4108/EAI.16-5-2020.2304211","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304211","url":null,"abstract":"Visual information investigation includes utilizing present-day P.C. illustrations and show instruments to investigate information. The utilization of such visual research techniques has gotten progressively across the board all through the sociologies. This proposed framework centres around client information in business banks and expects to utilize visual portrayals and connection strategies to give another vision of client relationship the board or customer relationship management (CRM).Features of the discoveries incorporate that consumer loyalty has a remarkable positive impact on client dedication in the financial assistance industry, particularly with the salary improving, the connection between them turns out to be increasingly robust. At last, recommendations are advanced on the most proficient method to enhance consumer loyalty and increment client dedication. They are continually vigilant for utilizing them to improve their business advantages, for example, right item advancement to right sort of clients, typical usage of selfadministration channels, diminished visits to branches for money exchanges, etc. Select Bank's analysis of bank customer awareness about who to bank financing, credit to give something constraints. In addition, it can make the guarantor to show signs of improvement in their potential and existing customers to understand. As customers analyze is significantly essential for such activities, analysis of a client to create a clear framework for banks. The central aspect of this study is to use the used dataset (labelled) and to create a new label as the target for classification, which reduces the clustering execution time and gets the best accuracy results. The data set ('default of credit card clients) is obtained from the archive of UCI (University of California, Irvine) M.L. Repository.","PeriodicalId":274686,"journal":{"name":"Proceedings of the Fist International Conference on Advanced Scientific Innovation in Science, Engineering and Technology, ICASISET 2020, 16-17 May 2020, Chennai, India","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121763281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}