IOSR journal of computer engineering最新文献

{"title":"Image Encryption using RSAA","authors":"Vishal Snedan Robertson, Krishnakant Vilas Redkar","doi":"10.9790/0661-1903040105","DOIUrl":"https://doi.org/10.9790/0661-1903040105","url":null,"abstract":"","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80094603","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":"Effect of Ca EDTA and Fe EDTA on Micro and Macro Nutrients uptake by Black gram","authors":"A. Jilani","doi":"10.9790/0661-1902056669","DOIUrl":"https://doi.org/10.9790/0661-1902056669","url":null,"abstract":"Chelates such as EDTA and DTPA are often used to increase micronutrient solubility, but micronutrients complexed by these chelates are not readily taken up by plants. A field experiment was conducted to assess the effect of the application of EDTA on black gram crop. The aim of this study was to identify the interaction of Na, Ca, Mg, Fe, Cu and Zn when the black gram was planted on the test soil and to evaluate the effect of Ca EDTA and Fe EDTA of these metals. It was found from the study that by applying increased the organic carbon, organic matter, micronutrient i.e. Fe, Ca and Zn in the soil. Further it was noticed that TBS, MRP increases the N, P and K content in soil. From the results of this experiment, it could be concluded that individual application of Ca EDTA and Fe EDTA improved micronutrients in black gram.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79535336","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":"Performance Comparison between Hive, Spark-Sql & Flink-Sql through IVR Data Analysis","authors":"R. Kaur, Raman Chadha","doi":"10.9790/0661-1903040611","DOIUrl":"https://doi.org/10.9790/0661-1903040611","url":null,"abstract":"Companies that utilize automated IVR systems have a veritable treasure trove of data that can be analyzed to improve the quality of the customer experience.After all, many customers who are greeted by linear thinking IVR systems instead of human voices already assume that their self-service experience is going to be less than favorable.Analyse the call Centre Performance includes various parameters like Cross-Team Visibility, Monitor Interactions in Real Time, Simplify reporting, Evaluate and streamline journeys etc. This paper focus on an approach in which IVR data is analysed and comparison is done based on HIVE, SPARK and FLINK frameworks.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86040500","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":"Developing Land Information Management Systems for County Governments in Kenya","authors":"R. Wayumba","doi":"10.9790/3021-0705014249","DOIUrl":"https://doi.org/10.9790/3021-0705014249","url":null,"abstract":"There is a need to develop Land Information Management Systems (LIMS) for county governments in Kenya. In the year 2010, the Republic of Kenya promulgated a new constitution, which led to the introduction of forty seven county governments. Each of the counties is supposed to develop a LIMS. In this regard, a LIMS can be described as a Geographic Information System that is dedicated to cadastral maps and land registry records. An effective LIMS can contribute towards improving: land tenure security, real estate markets, access to credit, taxation and dispute resolution. The LIMS should also remedy the problem of paper land records, which are susceptible to wear and tear, can get lost, may be difficult to retrieve and often difficult to integrate with other systems. The problem statement for this paper is that it is not clear how the LIMS should be developed for the counties. This paper employs grounded theory methodology to explain why and how the LIMS may be developed. The results are categorized into: human resource development, institutional arrangements and, design and implementation of the systems. The hope is that this paper will contribute towards implementation of LIMS not only in Kenya but also in other developing countries.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85072872","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 Technology of Reciprocating Pumps based on Inlay Model Wavelet Neural Network","authors":"Zhao Zhi-hua","doi":"10.9790/3021-0704014347","DOIUrl":"https://doi.org/10.9790/3021-0704014347","url":null,"abstract":"2. Training Center, Natural gas branch of Daqing Oilfield, Daqing 163412 ChinaAbstract: A method is proposed based on inlay model Wavelet Neural Network in order to determine the reciprocating pump fault type accurately. This paper used the reciprocating pump single cylinder pressure signals as the characteristics of the system signal by wavelet packet decomposition to extract fault features vector, which is the input of wavelet neural network, and at the same time, used wavelet neural network to determine the type of the fault. Diagnosis of faults of fluid end on a reciprocating pump proves the system fault diagnosis accuracy to 94%.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87233837","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":"Analysing and Designing Of Traffic Data System Using Big Data","authors":"Ranu Munnasingh Thakur, P. Saraf, R. Bhat","doi":"10.9790/0661-1903034247","DOIUrl":"https://doi.org/10.9790/0661-1903034247","url":null,"abstract":"Data at segmentation has been helpful tremendously and decidedly to overcome the heterogeneity of the data which is relating to an accident. K-modes clustering modus operandi is considered with respect to entire set of data. Comparison basically between the two of the sets of data fundamentally for the analomalies of the content and the context is herein recognized. Contextual kind anamoly in detection can be worked for the schema. The respective schema is herein evaluated against those of dodgers, dataset which are available in learning kind repository and those of R statistical kind toolbox.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80243159","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 Review on Mining for Web EngineeringBusiness Intelligence","authors":"V. Sumalatha, T. Nishitha","doi":"10.9790/0661-1903024143","DOIUrl":"https://doi.org/10.9790/0661-1903024143","url":null,"abstract":"Over the last few years, there has been a remarkable increase in use of World Wide Web for a wide and variety of applications. The web plays a central role in e-commerce applications. As a consequence, there is a need to improve Intelligence of Web Engineering Applications in the context of Business and IT industry. To achieve this objective web engineering tasks must be able to identify some useful insights for business intelligence. The proposed research work attempts to initiate Business Intelligence from Web Based Applications. The issues of research work are uniformly accommodated in five steps. The First step identification of fundamental tasks of Web Engineering, Mining for Software Engineering and its extension to Mining for Web Engineering, Web Mining and Web Based Business Intelligence Applications will be done.. The Second step recent Literature Review will be carried out. The Third Step case studies on present’s business intelligence need of next generation business applications, development of Next Generation Business Intelligence Application Development Technologies (NGBIADT). The NGBIADT covers Web 2.0, Agile Modeling and Web Services. The Fourth step the idea of Mining approaches for Web Engineering and NGBIADT. The Mining approach of Web Engineering consists of 3 phases. In Phase 1, Web Engineering data such as web design, structure of Web, web logs and error reports are collected using a comprehensive algorithm. Phase 2 integrates a various Web Engineering data from phase 1 to develop web mining approach using association rules, classification and clustering techniques. In Phase 3, information generated from web mining approach can be considered as base for developing a web based application that satisfies the need of end user requirements and also satisfying needs of business industry. Thus, phase 3 produces tasks related to web application structure, web services, web architectures, web configuration management data, web classification, web communities, website Navigation and web security. These tasks are very much essential in developing NGBIADT applications. The mining approach of NGBIADT consists of technologies such as Web 2.0 for business intelligence, Agile modeling for business intelligence and Web Services for business intelligence with suitable exemplars. The Fifth Step demonstrates various insights to improve Web Engineering applications for the purpose of Business Intelligence using Secure Stock Market (SSM) web application as an example. Applying Mining strategies to Web Services will provide valuable insights in terms of Service discovery, Service dependency, Service composition etc. Hence this proposed research work investigates the following various areas of research like: The study on Web engineering tasks. Mining techniques related to web engineering Obtain and analyze Mining information in business intelligence Some insights that improve intelligence of web based application.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90326770","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":"Statistical analysis of the significance of variation in properties of cotton stalk fibres extracted from different sections of the cotton stalk","authors":"N. Z. Nkomo, L. Nkiwane","doi":"10.9790/3021-0704015362","DOIUrl":"https://doi.org/10.9790/3021-0704015362","url":null,"abstract":": - Cotton is cultivated primarily for its boll fibre and little use is made of the cotton stalk. The cotton stalks are breeding ground for pests therefore the stalks are normally burnt in the field creating air pollution. Cotton stalks were collected from farms through random sampling and subjected to natural water retting and there after mechanical decortication and categorised according to their location relative to the stalk as top section, middle section and bottom section fibres. The physical properties of the cotton stalk fibres was characterised by tensile strength, moisture regain, linear density, diameter and fibre length tests. These results were analysed using one way multivariate analysis (MANOVA) in SPSS with three levels being one for each section of the stalks to test the statistical significance of the differences of the fibre properties from different sections of the cotton stalk. Pillais trace test showed that there was statistical significant difference between fibres from different locations when considered jointly on the variables tensile strength, elongation, fibre density, fibre diameter, fibre length, linear density and moisture regain. This test was followed up by Tuskey’s HSD post hoc test which showed which parameters varied between which sections of the stalk.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72990585","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 Character Recognition using Geometry Based Feature Extraction","authors":"Bishakha sharma, A. Agarwal, A. Bajpai","doi":"10.9790/0661-1903029196","DOIUrl":"https://doi.org/10.9790/0661-1903029196","url":null,"abstract":"The framework through which PC can perceive content went into the framework either by means of an information gadget, for example, an attractive peruser or through sweep records is known as character recognition system. On the premise of this whole wide character recognition system can be part into two sections. The classification is described in the later section of this paper. This paper gives an idea as to what is a character recognition system, its application areas, the various stages explained in the process. Character Recognition is a wide thought and this paper focuses particularly on the Online Character Recognition System or the Optical Character Recognition (OCR) and clarifies the diverse periods of the same. The paper is organized in the following way. We start by giving an introduction to the character recognition system, followed by its classification. We have also explained the various stages in a character recognition system along with a few algorithms that are explained in the particular stages. The last section of the paper focuses on certain achievements and advancements in this particular field and future scope to the study of character recognition system.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76508291","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":"Free and Open Source Software – An Empirical Study","authors":"Harmaninder Jit Singh Sidhu, S. S. Khurmi","doi":"10.9790/3021-0704017178","DOIUrl":"https://doi.org/10.9790/3021-0704017178","url":null,"abstract":"A software can be described in terms of its characteristics. These characteristics can be further subdivided into sub-characteristics and their corresponding attributes. The basic idea generally remains the same i.e. to analyse the software in terms of its working, performance, cost and complexity. All these aspects lead to the software evaluation. Free and Open Source Software (FOSS) is no exception in this regard.The basic idea behind carrying out this research endeavour was to analyse FOSS in terms of its important characteristics likeDeploybility and Maintainability. The purpose of such study was to establish the association between these two vital characteristics empirically. Apart from this, two very important issues related to FOSS, were also taken into account. It was tried to find out how and what help FOSS professionals seek when they encounter some problem in their routine or specialized tasks. Another matter of concern was to know if people involved in FOSS do require some training sort of activity for the betterment of their FOSS related activities. The survey results signify that seeking additional knowledge through one way or the other does improve proficiency. The probable dependency of the two characteristics on each other was also established.","PeriodicalId":91890,"journal":{"name":"IOSR journal of computer engineering","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75480644","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}