{"title":"Text Extraction From Image Using MATLAB","authors":"G. Chakraborty, Saradindu Panda, Sangita Roy","doi":"10.2139/ssrn.3525969","DOIUrl":"https://doi.org/10.2139/ssrn.3525969","url":null,"abstract":"The goal of this paper is for extricating the text present in image and identify the text written using MATLAB programming language. Text Extrication from image and recognition as a whole have enormous relevance from the point of view of application, like content-based image restoration, document indexing and identification. Moreover, this triggers vast advanced systems. This work is focusing on detecting text in an image. To find a special sign in a natural image is sometimes frustrating. By using this method, it is easy to identify this type of object in an image like traffic sign, using Optical Character Recognition (OCR). Automatic task detection algorithms help to identify such situations in an image and highly efficient. It also uses Canny Edge Detection to discover the boundaries of the text present in the image from the Maximally Stable Extremal Regions (MSER).","PeriodicalId":215997,"journal":{"name":"Industry Interactive Innovations in Science","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413908","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}
Bishaljit Paul, S. Goswami, D. Mistry, C. K. Chanda
{"title":"Unit Commitment Solution by Branch and Bound Algorithm","authors":"Bishaljit Paul, S. Goswami, D. Mistry, C. K. Chanda","doi":"10.2139/ssrn.3516618","DOIUrl":"https://doi.org/10.2139/ssrn.3516618","url":null,"abstract":"For a short period, to obtain a secured economic dispatch of power generation, Security Constrained Unit Commitment (SCUC) is programmed to commit the units by minimizing the operating costs while maintaining the balance between supply and demand in a deregulating environment. This paper discusses a vivid planning horizon of three and six periods distributed in a day taking into account the fixed cost, variable cost, start-up and shut-down cost, ramping up and down limits, minimum and maximum power bounds, spinning reserve constraints of the units and line load abilities which are all modelled to commit the generators in binary digits only. The proposed approach applies the Branch and Bound algorithm to test the system. The iterative process will converge, if the optimal solution exists. In this paper three and six bus systems are analyzed to prove the effectiveness of this model which can be extended for larger systems too.","PeriodicalId":215997,"journal":{"name":"Industry Interactive Innovations in Science","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114649096","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}