{"title":"High Resolution Digital Pulse Width Modulated Signal Scheme on FPGA","authors":"Sheaba Thomas, K. S. Riyas","doi":"10.1109/ICAECC50550.2020.9339523","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339523","url":null,"abstract":"In recent years, digital pulse width modulator (DPWM) has been widely used in the fields of electronic engineering, such as power converters, digital radar systems, control systems etc. High-resolution DPWM signal is simulated on ISE (Integrated Synthesis Environment) Design Suite 14.5 using two different approaches and a modified method. The first approach is based on Digital Clock Manager (DCM) module, which provides more stability than the RS latch utilized in previous work. As for the second method, look-up-table (LUT) is employed as the basic resources to construct high resolution DPWM signal. This can be easily implemented on low-cost FPGA devices because of the significantly simplified structure. The resolutions of two approaches can reach upto 625ps and 500ps respectively. In modified method, the resolution of DPWM signal can reach upto 1250ps.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114666146","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":"Proceedings of 2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","authors":"","doi":"10.1109/icaecc50550.2020.9339507","DOIUrl":"https://doi.org/10.1109/icaecc50550.2020.9339507","url":null,"abstract":"","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129309558","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":"Semantic Annotation of IoT Resource with ontology orchestration","authors":"V. P, Ajeet A. Chikkamannur","doi":"10.1109/ICAECC50550.2020.9339490","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339490","url":null,"abstract":"With the proliferation of multiple heterogeneous IoT devices in the ecosystem, discovering the best IoT resource has become a challenge. Integration of semantic technologies can help to manage these diverse IoT resources. In these research directions, a novel framework for mapping IoT devices vendor specifications to semantic annotations of IoT resources augmented by IoT Resource Ontology is proposed. Automatic inference of the service capabilities of the IoT resources from the specifications is performed. Word embedding augmented multi label classification of the device specification terminologies is carried out. Experiment studies and comparative analysis in terms of precision, recall, f-measure is presented to showcase the effectiveness of the proposed framework.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124534191","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":"Ocean Internal Wave Detection from SAR Images using Particle Swarm Optimization","authors":"C. Divya, S. Vasavi, A. Sarma","doi":"10.1109/ICAECC50550.2020.9339511","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339511","url":null,"abstract":"The internal waves are the waves that occur in the deep ocean. Many researchers found different methods for the detection of internal waves. As we all know that machine learning is the fastest growing technology to solve complicated problems. So, here in this paper we took this advantage for the detection of internal waves because this is also considered as a complicated problem. Based on this a novel method is proposed for internal wave detection using neural networks which is a method that acts as a human brain. A novel system using Particle swarm optimization is proposed in this paper to automatically detect internal waves. Such system can differentiate with surface wavelets and slicks. This paper describes extraction of internal wave parameters from SAR images. Initially ocean internal wave detection is modeled based on optimization algorithms. In the proposed method, two models such as feature representation model and prediction model will be build.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132494208","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}
Kaithekuzhical Leena Kurien, Ajeet A. Chikkamannur
{"title":"An Ameliorated hybrid model for Fraud Detection based on Tree based algorithms and Benford's Law","authors":"Kaithekuzhical Leena Kurien, Ajeet A. Chikkamannur","doi":"10.1109/ICAECC50550.2020.9339471","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339471","url":null,"abstract":"In today's living conditions amidst pandemic the online dependence of buying and selling is at its peak. The world globally is looking for safer and convenient options of using online payment facility. The online sales are roaring because of pandemic conditions around us and the fraudsters are actively pursuing evolving strategies for fraud in online payment. The main aim of this paper is to develop a novel algorithm using machine learning to learn fraudulent patterns in credit card transactions and apply it on test data. The Benford's Law is used to find if deviations occur in data and hence determines if fraud transactions are present in dataset. The unsupervised K means algorithm produces output in the form of two clusters consisting of Fraud and genuine transactions. The predicted data along with unseen data reserved in beginning are passed to Logistic Regression, Random Forest and XG Boost. The credit card transactions are applied to hybrid model which detects whether transaction is fraud or not. The experimental results demonstrate the effectiveness of the proposed model. The proposed hybrid method gives excellent results in Roc -AUC score and Fl-score as compared to simple Random Forest and Logistic Regression.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131696115","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":"A Novel Method for Glaucoma Detection Using Computer Vision","authors":"Sreemol S, Umesh A C","doi":"10.1109/ICAECC50550.2020.9339478","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339478","url":null,"abstract":"Glaucoma is an eye disorder that impairs the optic nerve and can cause permanent blindness if left untreated. This condition arises due to elevated pressure inside the retina. As damage from glaucoma is impossible to rectify, early detection helps to prevent vision loss. Manual examination of fundus photographs is a difficult process for medical examiners because a large set of images will have only a small number of glaucomatous images, so Computer-aided systems can reduce the work load by automatically analyzing the images. Here a computer-aided diagnosis system for glaucoma screening based on VCDR value along with texture features extracted using Gabor filter is proposed. The processed retinal fundus images are segmented and the VCDR value is calculated from the segmented images. The simulation is carried out in Python 3 and the databases used are DRISHTI GS1 and HRF. The system is evaluated using four classifiers SVM, KNN, Logistic regression and Random forest.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131979923","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":"Applying Bipartite Supergraphs to Mitigate Ping Pong Effect in Hierarchical Wireless Networks","authors":"Soma Pandey, G. Kadambi, V. Pande","doi":"10.1109/ICAECC50550.2020.9339509","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339509","url":null,"abstract":"Wireless networks with mesh topology usually have a partitioned, clustered or cellular structure wherein there is a central cluster head/gateway/evolved Node B (eNB) around which a fixed service set is defined. The fragile nature of the wireless network topology and the movement of nodes for load management or for hand off and handover results in instability of the network. The instability happens because, the end node, which can be a User Equipment (UE) or a Wi-Fi client node, gets pushed to and fro between multiple cluster heads/gateways/eNB repeatedly. This happens because the parameter being considered for node transfers and assignments might be at a threshold value for both the sender and receiver node. This is called the ping pong effect. This paper attempts to address this very common issue by applying the concept of Bipartite graph to derive a stability condition. This condition, when applied, on node migrations, will ensure that there is no ping pong effect. The entire computation is performed by using the Supergraph of network which further reduces the computation, thereby rendering the entire scheme very scalable.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129972420","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":"[Copyright notice]","authors":"","doi":"10.1109/icaecc50550.2020.9339498","DOIUrl":"https://doi.org/10.1109/icaecc50550.2020.9339498","url":null,"abstract":"","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124840399","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}
Aditya Ghatak, A. Kumar, K. Patel, Sanket Borole, Chirag Rao
{"title":"Controller Area Network Bus based Communication system for Thermal Power Plant","authors":"Aditya Ghatak, A. Kumar, K. Patel, Sanket Borole, Chirag Rao","doi":"10.1109/ICAECC50550.2020.9339516","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339516","url":null,"abstract":"Thermal power plants form a very crucial part of our power system network as they are responsible for meeting most of the base load demand. Traditionally, SCADA and Programmable Logic Controllers have been used for monitoring and control of thermal power plants. It was observed that Controller Area Network(CAN) communication in vehicles required only a twisted pair cable setup that is 2 wires running universally across all the monitoring nodes. The CAN bus system proved to be a very robust mode of communication in vehicles. In this paper, a CAN bus based communication system for monitoring of thermal power plants is proposed. CAN Communication between the thermal power plant components and its control room is discussed in detail.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114616239","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":"Topological exploration for the efficient design of three-dimensional Network on Chip architectures","authors":"Malathi Naddunoori, D. M","doi":"10.1109/ICAECC50550.2020.9339506","DOIUrl":"https://doi.org/10.1109/ICAECC50550.2020.9339506","url":null,"abstract":"With the advent of nanoscale computing the new era of communications demand IC technologies with lesser silicon footprint, low power consumption and higher bandwidths. There has been a paradigm shift from conventional bus based approach to Network on Chip (NoC) approach because of technology constraints. The NoC technology with shorter wires and layered structured forms the 3D Network on Chip which forms a promising and emerging field of research. Architecture of 3D NoC's, Topologies, Interconnects, Routing of 3D NoC's are indeed novel areas of exploration. The 3D IC's enable the optical devices, analog circuitry and digital circuitry in three different layers which is a unique feature to develop highly heterogeneous and multifunctional systems. This paper discusses about the basics of NoC's, 3D NoC's layout and detailed description of 3D NoC Topologies. All the distinct features of Topologies are listed and clustered Topologies seem to be the promising Topologies for nano scale design if clock and thermal issues are to be overcome with proper approach in 3D NoC's.","PeriodicalId":196343,"journal":{"name":"2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116695634","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}