{"title":"Fault identification in woven fabric using Back propagation neural network","authors":"V. Gnanaprakash, G. Suresh, P. Vanathi","doi":"10.1109/ICACCE46606.2019.9080015","DOIUrl":"https://doi.org/10.1109/ICACCE46606.2019.9080015","url":null,"abstract":"Fault identification of Fabrics is an important job in regular inspection method in fabric industry. Fault identification systems include three phases. In an early stage image preprocessing has been carried by using Butterworth Low pass Filter to remove the hairiness noise in an image. Beside with perform Equalization to adjust pixel intensities to enhance contrast. After completion of preprocessing, Haralick defined texture attributes are obtained from the preprocessed data with the help of Gray Level Co-occurrence Matrix (GLCM). The Gray level spatial dependency matrix characterizes the allocation of co-occurring pixels in an image data at a given distance, position angle between pair of pixels. Then extracted features are used to train neural network classifier to identify the fabric defect using Back Propagation technique along with gradient descent learning algorithm. The performance of the Network is analyzed through different learning rate of the learning algorithm.","PeriodicalId":317123,"journal":{"name":"2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125151031","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}
K. Vairavel, S. Bhoopesh, R. Kumar, M. Nithish Kumar
{"title":"Continuous Total Solid Measurement and Achievement using SCADA","authors":"K. Vairavel, S. Bhoopesh, R. Kumar, M. Nithish Kumar","doi":"10.1109/ICACCE46606.2019.9079960","DOIUrl":"https://doi.org/10.1109/ICACCE46606.2019.9079960","url":null,"abstract":"The major rise in the demand for processed eggs in the food industry gives the opportunity to turn eggs finally into valuable food ingredients. Eggs are consumed not only for commercial uses like pastries, households hotels etc., and it is also used widely by the egg products manufacturing industries by giving the desired egg products in the form of powder and liquid according to the customer's requirements. Our project deals with the Continuous achievement of Total Solid percentage by using an automated system. Total Solid can be defined as the amount of solid content present in a litre of yolk or whole egg liquid. For example if a litre of yolk or whole egg liquid with certain measured Total Solid percentage is taken and dried we will get the exact quantity of dry powder as same as measured total solid percentage. Earlier it was a manually operated system which was carried out after the two storage tanks has filled to its full capacity. In the automated process two pumps has been set up permanently between the yolk and whole egg liquid storage tanks and the Total Solid is continuously monitored and measured above a certain level by using the advanced Total Solid meter and transfer of yolk, whole egg liquids is done between the two tanks according to the required Total Solid percentage of yolk and whole egg liquids respectively. Therefore by transferring the yolk to whole egg or whole egg to yolk we can able to achieve the required Total Solid percentage. After the achievement of required Total Solid percentage the yolk and whole egg liquids are sent for the further processing as described in materials and methods. The automated process is continued without any break by controlling and maintaining the Total Solid percentage of both yolk and the whole egg liquids with the use of advanced Total Solid meter.","PeriodicalId":317123,"journal":{"name":"2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131133511","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 Survey on Design and Implementation of Routing Protocol for Low Power and Lossy Networks","authors":"P. Dinesh, C. Palanisamy","doi":"10.1109/ICACCE46606.2019.9079974","DOIUrl":"https://doi.org/10.1109/ICACCE46606.2019.9079974","url":null,"abstract":"The purpose behind this work is to propose an essential graph of controlling tradition for low power and lossy framework. Moreover this paper speaks about the focal points and obstructions of a tradition and considers them. Remote sensor systems are speaking to authorities on account of their broad assortment of utilization potential in reaches, for instance, target recognizable proof and following, natural observing, mechanical process checking, and vital systems. Then again, lower detecting ranges effect on thick systems, which convey the requirement to achieve a capable medium access convention subject to control objectives. The Internet protocol version 6 (IPv6) coordinating tradition for Routing Protocol for Low-power and Lossy frameworks (RPL) has been starting delayed institutionalized by the Internet Engineering Task Force (IETF) directing tradition for ROLL working get-together to support IPv6 coordinating for resource constrained contradictions in the current scenario on home and also on urban circumstances. In any case, two or three investigation has made the feeling that RPL might encounter low conveyance rates, particularly in broad range associations. This survey suggests an in and out inspection of the convention properties and framework choices that makes the need of value issues. Work performs the information pressure and conviction computation process to decrease information transferring time and furthermore enhances to reduce the loss on information transmission.","PeriodicalId":317123,"journal":{"name":"2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133310841","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":"Effective approach for Redundancy in compliance with ISO26262","authors":"Sreeramulu Pasagadugula, Gaurav Verma, Jyoti Harmalkar","doi":"10.1109/ICACCE46606.2019.9079978","DOIUrl":"https://doi.org/10.1109/ICACCE46606.2019.9079978","url":null,"abstract":"Automotive safety integrity level (ASIL) of a component decides the criticality associated with the system. This criticality involves cost and effort by original equipment manufacturers for developing the product. Since criticality increases with increase in ASIL, it is one of the major disadvantages on the part of OEMs to develop the complete system according to highest ASIL among all its components. In this paper, an efficient technique to resolve the issue of criticality by ASIL Decomposition is proposed in a detail way. In the later part of this paper, the incorporation of this technique to the automobile industry for developing an efficient system is explained using a case study.","PeriodicalId":317123,"journal":{"name":"2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131856654","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":"Extracting information from JSON database as simple as extracting in SQL using JSONiq","authors":"R. Vinothsaravanan, C. Palanisamy","doi":"10.1109/ICACCE46606.2019.9080010","DOIUrl":"https://doi.org/10.1109/ICACCE46606.2019.9080010","url":null,"abstract":"JSON is a prevalent broadly useful information encoding group, utilized in numerous databases and web administrations. It is simple for a programmer to read and write as worked in a relational database. Like XML, JSON is also a semi-structured database in nature. Extracting information from semi-structured database required special query evaluation and processing engine. Using XQuery static information from XML database can access and retrieve easily through FLWOR construct. To extract structural and semi-structural information from JSON will be done through JSONiq query language and processor. The aim of this paper is finding the similarity between the relational query and JSONiq query and proving that simple queries like join, project, select, group, filter, and aggregate as done in SQL can also be done in JSONiq with JSON database.","PeriodicalId":317123,"journal":{"name":"2019 International Conference on Advances in Computing and Communication Engineering (ICACCE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130494493","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}