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
Sivakannan Subramani, S. Ananthi, A. Arun, K. Padmanabhan
{"title":"Echo cardio graphic Signal Processing Using Wavelets","authors":"Sivakannan Subramani, S. Ananthi, A. Arun, K. Padmanabhan","doi":"10.4108/EAI.16-5-2020.2304206","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304206","url":null,"abstract":". Various areas like image processing, data compression and time frequency spectral estimation where the Wavelet have been applied. This paper describes another application in the filed of echocardiographic signals from an ultrasound machine. There are two areas of signals from the ultrasound echos - the imaging and the Doppler signals from blood flow in the chambers. Wavelet functions are shown to characterize Ultrasound data in terms of oriented texture component better. It can decorrelate non-coherent speckle noise better in the frequency domain. To determine the velocities of blood particles, the Doppler shift signals, synchronously detected with the base Ultrasound frequency, and called the I and Q signals are obtained. Rather than using the present day technique of CFFT method, the use of Wavelet decomposition of the signals has been made, using standard orthogonal Mallet Wavelet series, for example. Due to the usefulness of the Wavelets in providing better time resolution, particularly adjacent to the opening and closing instants of heart valves, the spectrogram based on Wavelet coefficients was found to be able to give improved resolution of the profiles of the E & A waves as well as in the evaluation of the pressure half-time for assessment of stenosed heart valve’s area.","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":"179 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":"130248696","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":"FAULT DIAGNOSIS OF INDUCTION MOTOR DRIVE USING MOTOR CURRENT SIGNATURE ANALYSIS","authors":"D. Ramya, R. Basha, M. L. Bharathi","doi":"10.4108/EAI.16-5-2020.2304102","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304102","url":null,"abstract":". Asynchronous motors are widely used in transportation, mining and in all electric drive application. It is robust. Compare to other motors it is easy to control and less cost. In this paper conditioning of motor is achieved. It has become necessary to monitor the condition of motor in industries. MCSA is the best method for conditioning of motor, we need single phase current of three phase induction motor to analyze the condition of monitor. So many faults will occur in the induction motor. Weare taking open switch fault in this induction motordrive.","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":"26 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":"131102217","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 development of an ‘early prediction machine’ for Colorectal Cancer from pathological images through quantum image processing technique – a theranostic approach","authors":"V. Rohith, P. K. Namboori","doi":"10.4108/EAI.16-5-2020.2303948","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2303948","url":null,"abstract":". The Cancer has been reported as a major terminal disease of the world and the number of deaths due to various types of cancer is increasing day by day. More than 30% of the death due to cancer is due to colorectal cancer (CRC) resulted by mutations in the WNT signalling pathway. In most of the cases, early detection of the disease and proper treatment may help in resulting complete cure. Improvements in modern technology with deep neural networks and artificial learning along with image processing enables diagnosis and detection of cancer cells in the early stages. In the present work, the possibility of using ‗quantum processing technique or 'Qubit computing' has been explored to classify malignant and benign cells. The dataset used is pathological images of colorectal cancer processed using a 2- bit qu antum circuit. The processing has been carried out using 'IBM Quantum computing (IBM - Q)'. Even with a small dataset and with 4- qubit platform, more than 50% accuracy has been observed. Higher percentage of accuracy may be obtained by optimizing the number of qubits and by using bigdata.","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":"123560153","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":"Scalable Cloud Platform for Smart Home Devices Automation","authors":"S. Arun","doi":"10.4108/EAI.16-5-2020.2304193","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304193","url":null,"abstract":": Empathize the user needs for home device automation is a creative design thinking to facilate man kind. The prevalence of home automation has been increased due to inter-linking and shadowing of human activities by controled machine activities. Use of machines and its control by using information technologies to improve automation is a next step beyond mechanization. Control home machinaries , electronic devices ,fire alarm systems, water tank management systems, and security surveillance camera can be automate to reduce manual labour, elecrticty and ease of accesing from remote systems to make human living style as easy and secure.This paper, cloud based support for home devices automation bolster the elders, pet animal care takers and disabled persons activity by remote automation though Smartphone and tablet connectivity. Focus of this project is to develop a system which makes integration of the different home automation components seamlessly irrespective of manufacturer or where the components are coming from and accessing by remote by storing in cloud. AC –Simulation of an AC controlled by Alexa & Sensor Hub Final Project Outcome (AWS Based) & Demonstration-Fully Software Architecture-Full System Block Diagram-Simulated light and AC-Sensor Hub uploading Pressure & Temperature-Alex Control","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":"19 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":"125671806","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, M. Geetha, V. Govindaraj, Prakash Mohan, K. Vijayakumar
{"title":"An Efficient Generic Review Framework for Assessment of Learners Ability using KNN Algorithm","authors":"C. Saravanakumar, M. Geetha, V. Govindaraj, Prakash Mohan, K. Vijayakumar","doi":"10.4108/EAI.16-5-2020.2304199","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304199","url":null,"abstract":". Nowadays online review and recommendation system plays major role for maintaining quality of any kind of product with various domain. The customer has to evaluate the product and provides the positive as well as negative reviews based on their interest. The education domain has various stages of the evaluation namely staff related, student related and organization related and so on. Normally the review is restricted to the particular college or university because of their own protocols and system. The proposed framework is to implement the generic review system based on the respective configuration. There are various templates introduced to get the accurate review with good evaluation result. This framework is modeled using the layer of abstraction. User interface layer provides the complete support for the user who uses the system with customized design. Review layer handles all data in different by retrieving and storing the credentials for further review process. Application configuration layer is used to provide the template for assigning credentials and authorization with complete configuration of the system. The final reports are taken for the evaluation process for taking corrective action for further improvement. The classification of the review is carried out in order to achieve high level of accuracy. The main objective of the proposed framework is to classify the student review using KNN (K Nearest Neighbor) algorithm with high efficiency.","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":"130890175","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}
B. Perumal, J. Deny, R. Sudharsan, E. Muthukumaran, R. Subramanian
{"title":"Analysis of Amplify Forward, Decode and Amplify Forward, and Compression Forward Relay for Single and Multi-node Cognitive Radio Networks","authors":"B. Perumal, J. Deny, R. Sudharsan, E. Muthukumaran, R. Subramanian","doi":"10.4108/EAI.16-5-2020.2304196","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304196","url":null,"abstract":". Intellectual radio is a developing remote innovation utilized to expand the recurrence range usage of the constrained ghastly assets. Helpful interchanges have been considered as a potential strategy for comprehending the blurring impacts, for example, improving the steadfastness of system execution, arrange throughput, and versatility in remote correspondences. The exhibitions of Single node -AF (Amplify and Forward) and multiple nodes – DAF (Decode, Amplify and Forward) intellectual hand-off systems are examined over autonomous non indistinguishably circulated Weibull blurring diverts in Cognitive Radio Network. The diagnostic outcomes show that the bit mistake rate and the Signal to Noise Ratio esteem is 24dB for Single and Multiple nodes in network are better than handing-off conventions .","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":"42 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":"130954823","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}
G. Dhanyashree, M. Vijayasree, H. Kumar, V. Dinesh, N. Lakshmipathy
{"title":"Design of Electric Powered Bicycle","authors":"G. Dhanyashree, M. Vijayasree, H. Kumar, V. Dinesh, N. Lakshmipathy","doi":"10.4108/EAI.16-5-2020.2304037","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304037","url":null,"abstract":". An electric powered bicycle is a human electric hybrid vehicle and these are basically for the people who are expecting replacement for vehicles which run with the help of fossil fuels like bike, car etc. to get some exercise and to travel fast without other additional effort to reach the destination. The problems related to pollution and fossil fuel depletion has increased due to the large usage of vehicles for travelling. Therefore, by using an E-bike we can have an eco-friendly and energy efficient mode of transportation.With this vehicle, it is possible to arrive at the destination with an ease. For our paper, a model of bicycle which is power-assisted has been designed, built, tested and performance of two batteries is compared.","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":"163 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":"132357225","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":"EARLY STAGE DETECTION AND CLASSIFICATION OF BREAST CANCER","authors":"C. Reddy, Yeturi Mohan, S. Chandana, S. Kavya","doi":"10.4108/EAI.16-5-2020.2304093","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304093","url":null,"abstract":"One of the major diseases that affect young to old aged women in re-cent times is breast cancer. It almost ranks as the first cause for death in women across the world. The survival rate of people suffering with it ranges some-where between 40% and 60% depending on the development terms of particular countries. Hence, it becomes quite important to be able to diagnose such a dis-ease at a stage as early as possible, so the patient could look out on the available options for treatment. Therefore, in this project, we propose such a breast can-cer detection system which predicts the nature of the cancer, either benign or malignant by processing the mammographic image of the patient. The model basically uses a range of digital image processing techniques and also algo-rithms of ML in the process to output the prediction. It is trained using the MIAS breast cancer dataset. The input image is first resized, gray-scaled, and a gaussian filter is applied on it to remove background noises. It is then segment-ed and fed to the neural network, which gives the output prediction as an integer value (each value corresponding to a predicted class). The project also has a second stage where the severity of the cancer is also detected by taking input of other detailed attributes of the mammogram.","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":"14 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":"133048939","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":"UV Visual Spectral Response of Transformer Oil Under The Impact of Thermal and Electrical Stress","authors":"M. Srinivasan, Sumarkumar Burnwal","doi":"10.4108/EAI.16-5-2020.2304049","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304049","url":null,"abstract":". The complete lifetime of power transformers relies on the state of the oil insulation frame work all through perpetual action. Power transformers are one of the significant bits of intensity hardware in power systems. To determine the operating behavior of transformer, it is necessary to possess investigations on ageing of transformer oil paper insulation owing to thermal degradation under electrical stress. During this analysis the parameters like Breakdown Voltage (BDV), acidity, viscosity, dielectric constant and spectral response were observed for the study. An absolute Thermal-Electrical Stress-Ultraviolet (UV) visual analysis test has been administered to research the spectral response of transformer oil. A comparative analysis has additionally been created for the spectral response and thermal degradation parameters of transformer oil under the impact of electrical stress. It is concluded that the proposed method is useful to evaluate the unconsumed life of oil insulation, which can build up the maintenance and repair policies of transformer owner.","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":"92 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":"124931866","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. Pushpavalli, P. Abirami, P. Sivagami, S. Sundarsingh, L. Karthik, Sayan Ghosh
{"title":"Analysis of Solar and Windmill Using Real Time Simulation Tool","authors":"M. Pushpavalli, P. Abirami, P. Sivagami, S. Sundarsingh, L. Karthik, Sayan Ghosh","doi":"10.4108/EAI.16-5-2020.2304106","DOIUrl":"https://doi.org/10.4108/EAI.16-5-2020.2304106","url":null,"abstract":". This work is concerned with modelling and modification of a wind power production method into a solar-wind composite mode along with analysis and simulation of the proposed method. The suggested Wind turbine is modelled, and parameters such as rotor diameter, wind speed, pitch angle, etc are taken into count. The PV module is then modeled based on general parameters such as solar irradiation and temperature, etc. A PVsyst simulation is performed for the solar PV grid and stand alone system. Further homer grid software is used to perform simulation on the hybrid system and the results were observed. The hybrid system has an output 1.5kw or 1500w which consists of wind turbines (500kw) and PV solar system of 6 panels of 165w each producing the total peak output of 1kw or 1000w. Autocontollers and converters are used along with a battery of 155w for storage. Conclusions point that the load absorbs power from both solar and wind schemes. However, there is the fluctuation of power supply in some driving conditions, such as modification of solar radiation and wind velocity","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":"40 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":"124783831","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}