Browsing by Author "Anushya Devi T S"

Filter results by typing the first few letters
Now showing 1 - 9 of 9
  • No Thumbnail Available
    Item
    ANALYSIS OF HEDYCHIUM FLAVUM WASTE POWDER AS A POTENT HEAVY METAL ADSORBENT
    (Springer Link, 2023-06-05) Swetha M; Indhumathi S; Sheeba L; Sangeetha G; Anushya Devi T S; Selvanayaki M
    Hedychium flavum, a medicinal, edible, and ornamental plant, is widely cultivated in India. Essential oils from the plant are used for various medical purposes and the leftover plant residue after oil extraction is discarded as a waste. An attempt was made to explore the used of this waste to remove heavy metals from wastewater was analysed. Result shows that the waste powder can be used effectively for metal removal. Hedychium flavum sequence was submitted to the NCBI database to procure accession numbers MN988619.
  • No Thumbnail Available
    Item
    CLOUD COMPUTING FOR SMALL SIZED INDUSTRIES
    (Sri Ramakrishna Mission Vidyalaya College of Arts & science, 2015-09-22) Selvanayaki M; Anushya Devi T S
    Cloud computing in Indian scenario has recently emerged as a new paradigm for hosting and delivering services over the Internet. Cloud computing is become attractive to small sized industries as it reduces the capital investment in IT over the year and to easily switch over the current technology. Also it eliminates the requirement for users to plan ahead for provisioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. This paper deals with the advantages and limitations of cloud computing for small sized industries and discuss the suitable model of cloud computing. The aim of this paper is to provide a better understanding of challenges of cloud computing and identify important research directions in this increasingly important area
  • No Thumbnail Available
    Item
    CLOUD COMPUTING FOR SMALL SIZED INDUSTRIES
    (Sri Ramakrishna Mission Vidyalaya College of Arts & science, 2015-09) Selvanayaki M; Anushya Devi T S
    Cloud computing in Indian scenario has recently emerged as a new paradigm for hosting and delivering services over the Internet. Cloud computing is become attractive to small sized industries as it reduces the capital investment in IT over the year and to easily switch over the current technology. Also it eliminates the requirement for users to plan ahead for provisioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. This paper deals with the advantages and limitations of cloud computing for small sized industries and discuss the suitable model of cloud computing. The aim of this paper is to provide a better understanding of challenges of cloud computing and identify important research directions in this increasingly important area
  • No Thumbnail Available
    Item
    STUDY ON MACHINE LEARNING TECHNIQUES USING SVM
    (Pioneer College of Arts and Science, Coimbatore, 2017-01-06) Selvanayaki M; Anushya Devi T S
    Machine Learning is the study of computer algorithms that improve automatically through experience. Applications range from data mining programs that discover general rules in large data sets, to information filtering systems that automatically learn user’s interests. An important task of machine learning is classification, also referred as pattern recognition; where one attempts to build algorithms capable of automatically constructing methods for distinguish between different exemplars. This paper deals about different machine learning techniques for the prediction process.
  • No Thumbnail Available
    Item
    STUDY ON TOOLS AND TECHNIQUES TO MANAGE THE TEXTILE QUALITY CONTROL
    (PSGR Krishnammal College for Women, 2017-04-02) Selvanayaki M; Anushya Devi T S
    In recent years, the rapid development in IT applications like MIS, ERP, Network, Multimedia and Data Mining etc. are indispensable tools to boost productivity and drive maximum benefits that has ushered in a revolution in manufacturing and interactive marketing across the globe.The aim of this study is to elaborate how the textile industry can manage to improve their production capacity and resources to increase customer demands regarding individualized products with good quality using data mining tools and techniques. Data mining analysis offers many potential to improve the Quality control in manufacturing process and to enhance the usefulness of existing data.
  • No Thumbnail Available
    Item
    A STUDY ON WEB MINING
    (PSGR Krishnammal College for Women, Coimbatore, 2015-01-29) Selvanayaki M; Anushya Devi T S
    The Quest for knowledge has led to new discoveries and inventions. With the emergence of World Wide Web, it became a hub for all these discoveries and inventions. Web browsers became a tool to make the information available at our finger tips. Web mining came as a rescue for the above problem. Web content mining is a subdivision under web mining. This paper deals with a study of different techniques and pattern of content mining and the areas which has been influenced by content Mining. The web contains structured, unstructured, semi structured and multimedia data. This survey focuses on how to apply content mining on the above data. It also points out how web content mining can be utilized in web usage mining.
  • No Thumbnail Available
    Item
    A SURVEY ON AUTOMATIC FABRIC DEFECT DETECTION USING DATA MINING CLASSIFICATION ALGORITHM
    (International Journal of Management, Technology And Engineering, 2019-06) Selvanayaki M; MohanaPriya S; Anushya Devi T S
    Automatic detection of fabric defect could be a precious for safeguarding fabric qualities. Defect scrutiny of cloth could be a methodology that skilful with human visual examination by semi-automated technique however it's manual prone and dear. To diminish time and value expenditure thanks to defects, the automated scrutiny system for defect detection is employed for this principle. The speculation in automatic cloth defect discovery is over economical once diminution parturient value and connected edges are thought-about. The examination of real cloth defects is especially difficult thanks to the big range of cloth defect categories that are characterized by their unclearness and ambiguity. For this purpose, this paper provides a survey on defect discovering methodology mistreatment data processing approaches of classification approach to blemish the detect defects of materials
  • No Thumbnail Available
    Item
    A SURVEY ON AUTOMATIC FABRIC DEFECT DETECTION USING DATA MINING CLASSIFICATION ALGORITHM
    (International Journal of Management, Technology And Engineering, 2019-06) Selvanayaki M; MohanaPriya S; Anushya Devi T S
    Automatic detection of fabric defect could be a precious for safeguarding fabric qualities. Defect scrutiny of cloth could be a methodology that skilful with human visual examination by semi-automated technique however it's manual prone and dear. To diminish time and value expenditure thanks to defects, the automated scrutiny system for defect detection is employed for this principle. The speculation in automatic cloth defect discovery is over economical once diminution parturient value and connected edges are thought-about. The examination of real cloth defects is especially difficult thanks to the big range of cloth defect categories that are characterized by their unclearness and ambiguity. For this purpose, this paper provides a survey on defect discovering methodology mistreatment data processing approaches of classification approach to blemish the detect defects of materials
  • No Thumbnail Available
    Item
    A SURVEY ON AUTOMATIC FABRIC DEFECT DETECTION USING DATA MINING CLASSIFICATION METHOD
    (International Journal of Management, Technology And Engineering, 2019-06) Selvanayaki M; MohanaPriya S; Anushya Devi T S
    Automatic detection of fabric defect could be a precious for safeguarding fabric qualities. Defect scrutiny of cloth could be a methodology that skilful with human visual examination by semi-automated technique however it's manual prone and dear. To diminish time and value expenditure thanks to defects, the automated scrutiny system for defect detection is employed for this principle. The speculation in automatic cloth defect discovery is over economical once diminution parturient value and connected edges are thought-about. The examination of real cloth defects is especially difficult thanks to the big range of cloth defect categories that are characterized by their unclearness and ambiguity. For this purpose, this paper provides a survey on defect discovering methodology mistreatment data processing approaches of classification approach to blemish the detect defects of materials.