{"title":"Low-power less-area bypassing-based multiplier design","authors":"Amit Kumar Sahu, Laxmi Kumre","doi":"10.1109/ICICI.2017.8365186","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365186","url":null,"abstract":"Low power less area bypassing based multipliers proposed on the bases of modified XOR gate in low cost low power bypassing based multiplier. On the bases of different tested samples our proposed design has average 49.41% less area, 13.6% reduced power dissipation, 2.36% less delay and 20.89% less power delay product in comparison to different types of multiplier for 4×4 and 8×8 bit.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123988116","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. Saranya, Sheena Jose, Muthumani Rajan, Usha Bhandiwad, U. Kumari
{"title":"Design of generic telecommand executor for automatic spacecraft testing","authors":"C. Saranya, Sheena Jose, Muthumani Rajan, Usha Bhandiwad, U. Kumari","doi":"10.1109/ICICI.2017.8365319","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365319","url":null,"abstract":"Spacecraft Testing forms an integral part of spacecraft realization. The various subsystems of the spacecraft and its interfaces are evaluated through Integrated Spacecraft Tests. During these tests appropriate Telecommands are sent to the spacecraft. The decoding and execution of these commands are verified and confirmed against the expected behavior of various subsystems. Users send instructions using Checkout Command Language (CCL). Telecommands are generated from the CCL based on the project requirements. Total Automation for Spacecraft Checkout aims at providing an automatic test facility to carry out Spacecraft Testing. Based on satellite or project requirements Telecommand code pattern may vary from mission to mission. A Generic Telecommand Executor is developed for catering to Telecommand generation and execution for different projects. This paper brings out the design and implementation aspects of generic Telecommand Executor.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121389368","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":"Child immunization using data analysis","authors":"Nikhita Siringi, Shilpi Sharma","doi":"10.1109/ICICI.2017.8365275","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365275","url":null,"abstract":"Data mining is the process of sorting through enormous records to find anomalies, patterns as well as correlations to predict outcomes and future trends through data analysis. The desired results give way to new analytical insights and discovery. Its establishment comprises three joined experimental disciplines: figures (the numeric study about information relationships), artificial intelligence and machine learning (algorithms that study from information given to make future predictions that impact industry). In simple words, data mining helps to understand large complex data sheets in less time, with few risks and remove redundant data to make use of the relevant.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116934422","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":"An overview of FPGA based control paradigm for micro grid applications","authors":"Sumeet Kaur, S. Sharma, Charul Jain","doi":"10.1109/ICICI.2017.8365376","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365376","url":null,"abstract":"This paper summarizes the control of power in discrete areas of power generation with the application of programmable array of logic devices linked by configurable interconnections in a single circuitry called as Field Programmable Gate Array (FPGA). The paper throws light on the fundamentals of FPGA architecture, design structure and programming techniques. In the later segment, power conditioning methods using existing and advance FPGA tools for PV power generation, wind power generation and the integrated grid system designs are discussed.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125355779","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. Jabeena, M. Varma, N. Deepika Reddy, Sanjay Varma
{"title":"Smart supply chain mana gement using wireless communication systems","authors":"A. Jabeena, M. Varma, N. Deepika Reddy, Sanjay Varma","doi":"10.1109/ICICI.2017.8365194","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365194","url":null,"abstract":"Supply chain management (SCM) has been a key in product distribution for a long time. With the recent increase in internet of things (IOT) implementation, automation s flourishing. Although automated a degree, the industry still faces the challenges brought by people having to perform slow, manual tasks and manage a complex web of interdependent parts due to a spike I demand. Accessing the data from anywhere is still a challenge. Through effective application of systems, product monitoring and safety can be done simultaneously. Product information is stored in RFID tags and read back digitally by RFID readers. The inward and outward flow of products can be tracked. GPS can monitor the cargo in outdoors and its safety is surveilled using Accelerometer sensor. These can be dealt with real-time IoT.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126030045","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":"Improved RElim and FIN algorithm for frequent items generation","authors":"S. Sharmila, S. Vijayarani","doi":"10.1109/ICICI.2017.8365250","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365250","url":null,"abstract":"Data mining is a process of extracting hidden information from large databases. Data mining is basically focused on many areas like — communication, retail, Financial, and marketing organizations. It determines relationships among internal and external factors. Association rule is a method for identifying the relations between variables in large databases. It is determined to discover frequent patterns, identify rules and strong rules discovered in databases. The main objective of this research work is to find accurate and large number of frequent itemset by enhancing existing algorithms like FIN and RElim algorithm, frequent patterns are generated and strong rules are identified. Normally in Association rule mining common threshold value is given to find the frequent itemset but in the enhanced algorithms individual threshold values are given to every item in the transactional database to find out the frequent items. From the analysis it was observed that enhanced RElim algorithm gives best results than enhanced FIN algorithm.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126715728","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":"Energy efficient clustering in wireless sensor networks","authors":"K. Muthukumaran, K. Chitra, C. Selvakumar","doi":"10.18535/IJETST/V4I11.02","DOIUrl":"https://doi.org/10.18535/IJETST/V4I11.02","url":null,"abstract":"The popularity of WSN has garnered great heights once its applications had reached diverse fields like military to civilian domains. The Wireless sensor network routing protocols can be categorized into flat routing and hierarchical or clustering routing depending upon their network architecture. In our work we try to poise the energy efficiency at node level and increasing the network lifetime by proposing an Energy Efficient cluster based Hierarchical Routing Scheme. The design principle of ENEFC is that the role of Cluster Head should be rotated among all nodes and the cluster sizes should be carefully determined at different parts of the network to minimize energy consumption and also to extend the network lifetime and energy efficiency.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124317858","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":"An intelligent framework for health estimation with Naïve Bayes approach","authors":"R. Katarya","doi":"10.1109/ICICI.2017.8365364","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365364","url":null,"abstract":"The medical examination is necessary to step to diagnose the health of the patients. The aim of the data mining here is to classify the patients and predict the health status of the patient. In this paper, we presented a semi-managed learning framework which forecasts the health behavior of the patient. There were various steps such as registration, data extraction, graph generation, risk prediction and prescription generation with the utilization of Naïve Bayes method. With this framework, individuals will acquire the personal precautionary measures before managing a disease.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130451356","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":"Study of various plasma diagnostic techniques with microwave reflectometry data processing parameters","authors":"N. M. Rishabhkumar, A. Nandurbarkar, J. Buch","doi":"10.1109/icici.2017.8365352","DOIUrl":"https://doi.org/10.1109/icici.2017.8365352","url":null,"abstract":"This paper focuses on the Microwave reflectometry for the Ka-band (26.5 GHz-40 GHz) developed for measuring the electron density profile of the plasma. The beat frequency has to be estimated for measuring the density profile of the plasma. Along with this, different techniques for electron density measurement have been explained in this paper. The results of the beat frequency estimation and the way they have been obtained are all demonstrated in a systematic manner. Also the DAQ parameters have been selected accordingly.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133830136","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":"Support automation connectivity system for big data applications","authors":"S. Shaila, M. Prasanna, L. Niveditha, A. Vadivel","doi":"10.1109/ICICI.2017.8365248","DOIUrl":"https://doi.org/10.1109/ICICI.2017.8365248","url":null,"abstract":"The business information is stored in different source systems. Accessing specific data from different source systems that contain terabytes of information is tedious. The organization's source systems are complex and hence data extraction could be time consuming and labor-intensive. Not all users are allowed to access the production data due to security limitations and performance issues. Business leads will not be able to make the right decisions if the available raw data is not presented in the right context and the performance cannot be monitored. There is a need to automate the data extraction process targeting the different data sources and the need of Business Intelligence to gather and analyze data, transform it to useful form to gain insight to make decisions. The paper proposes, Support Automation Connectivity approach which addresses these issues using SNPN (Serial and Product Number) Data Extraction system and Store Serve Reporting. Support Automation Connectivity is about tracking the information of the connected Enterprise devices. The intelligent software built into the products sends heartbeat at regular intervals. This helps in supporting the device in terms of failures or software version updates, etc. based on the warranty period. The data is maintained in different cubes. SNPN Data Extraction system allows the business user to analyze the attributes related to connected devices for the given SNPN and report date. This system is triggered by the scheduler at regular intervals to pick up the input files for processing. It performs the data extraction within few seconds even for large data and sends instant notification to the relevant individuals. The file and package execution details can be tracked and appropriate error handling is implemented.","PeriodicalId":369524,"journal":{"name":"2017 International Conference on Inventive Computing and Informatics (ICICI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134233025","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}