2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)最新文献

Keynote speakers 主旨发言人

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2022-12-02 DOI: 10.1109/actea.2009.5227825

Valentina Emilia Balas

引用次数: 0

Classification of mass type based on segmentation techniques with support vector machine model for diagnosis of breast cancer 基于支持向量机模型分割技术的肿块类型分类用于乳腺癌诊断

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2017-02-01 DOI: 10.1109/ICDMAI.2017.8073490

A. Makandar, Bhagirathi Halalli

{"title":"Classification of mass type based on segmentation techniques with support vector machine model for diagnosis of breast cancer","authors":"A. Makandar, Bhagirathi Halalli","doi":"10.1109/ICDMAI.2017.8073490","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073490","url":null,"abstract":"The use of technology in medical imaging is highly increased due to improved accuracy in radiologist's decisions. Computer Aided Diagnosis (CAD) tools helps radiologists to rule out the indirect symptoms which signs for false identification. Breast mass extraction from background is crucial step in processing of mammography. Hence, the proposed method primarily contemplates on three different segmentation techniques such as adaptive threshold based, modified watershed and energy based contour segmentation techniques and then relevant features extracted by Gray Level Covariance Matric (GLCM), Segmentation-based Fractal Texture Analysis (SFTA) and Shape features then passed to Support Vector Machine (SVM) classifier to classify mass type as benign or malignant. The experimental results show that the energy based contour segmentation techniques is more suitable for discriminating the mass type with highly promising results of accuracy, specificity and sensitivity as 98.26%, 100% and 96.83% respectively comparing to other techniques. The results of proposed methods experimented on MIAS dataset.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123302822","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}

引用次数: 3

Development of library management robotic system 图书馆管理机器人系统的开发

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2017-02-01 DOI: 10.1109/ICDMAI.2017.8073520

Y. Angal, Anita Gade

{"title":"Development of library management robotic system","authors":"Y. Angal, Anita Gade","doi":"10.1109/ICDMAI.2017.8073520","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073520","url":null,"abstract":"Robotic process mechanization is the utilization of programming with manmade brainpower and machine learning abilities to deal with high-volume, repeatable assignments that beforehand required a human to perform. Robot is an automated machine. In library administration, we need librarian for management of books. To lessen curator inconvenience we have created robotization in library to speedy transport of books utilizing robotic arm. Library management robotic system is combination of software used to manage the library database and hardware used to manage the book handling. This system helps to keep the records of whole transactions of books available in a library. A robot is modular design of sensor operated motors to manage the library. Robot acquires the book information from stored database. The robot gathers the barcode data from the books and relates the decoded barcode data with the search input. The robot conveys a standardized identification scanner which gathers the scanner tag information from the books orchestrated in a vertical way and contrasts the decoded scanner tag information. Global positioning system is used for book location finding. This aides and streamlines the occupation of custodian and lessens the manual routine work done by the library staff.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123716474","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}

引用次数: 15

Intelligent energy meter with advanced billing system and electricity theft detection 智能电表，先进的计费系统和窃电检测

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2017-02-01 DOI: 10.1109/ICDMAI.2017.8073482

N. Patil, R. S. Kanase, D. Bondar, P. Bamane

引用次数: 13

Malware class recognition using image processing techniques 恶意软件类识别使用图像处理技术

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2017-02-01 DOI: 10.1109/ICDMAI.2017.8073489

A. Makandar, A. Patrot

{"title":"Malware class recognition using image processing techniques","authors":"A. Makandar, A. Patrot","doi":"10.1109/ICDMAI.2017.8073489","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073489","url":null,"abstract":"Increasing suspicious instructions of various malware through a challenge to the malware analysts to identify and classify samples belongs to the malicious family. They have witnessed the very fast increase in both the number and complexity of malware set of instructions. Malware invest profoundly in technology and capability to reorganize the process of building and mutate existing malware set of instructions to avoid traditional protection. Classify malware variants by applying image processing techniques. The textures play an important role in many image processing applications. In this paper we proposed the Support Vector Machine (SVM) multi-class malware image classification challenge from an image processing perspective. The multi-resolution and wavelets are used to build effective texture feature vector using Gabor Wavelet, GIST and Discrete wavelet Transform and other features. The proposed algorithm experimented on Malimg Dataset of malware total 12,470 samples are used. In that 1610 samples are trained and 1710 samples are tested on 8 malware family which is randomly selected from the dataset. We compare this approach to existing malware classification approaches previously published research work. This is an efficient and more accurate malware detection algorithm using Wavelet Transform with machine learning classifiers techniques to detect malware samples more capably compare to existing work.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116675299","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}

引用次数: 64

STATCOM converters and control: A review STATCOM转换器和控制:综述

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2017-02-01 DOI: 10.1109/ICDMAI.2017.8073500

Omkar K. Shinde, V. B. Pulavarthi

引用次数: 21

An exploratory critical theoretical review of the structure of the ongoing theoretical flow of the management — Functions 对正在进行的管理职能理论流结构的探索性批判性理论回顾

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2017-02-01 DOI: 10.1109/ICDMAI.2017.8073511

Kulkarni Vaibhav Mukund

{"title":"An exploratory critical theoretical review of the structure of the ongoing theoretical flow of the management — Functions","authors":"Kulkarni Vaibhav Mukund","doi":"10.1109/ICDMAI.2017.8073511","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073511","url":null,"abstract":"It's an exploratory review study, based on testing the hypothesis concerned. The statuesque is already in the existence in the form of the established theories and side of hypothesis need not to be researched again separately, considering it as the prior work referred. That was not a part of this study, this study is a further episode of the same series of research. Operations management was limited to some of the functional areas or domains of management & now it is expanding in the scope to some more functional areas. It does not look limited to any specific functional area or areas of management, rather_is becoming now in practice, gradually. & seems likely to become, fully, as a common function of the management, like the functions from planning to control, & similarly looks necessary to be accepted, in theory too. It seems to be neither mere a functional area, nor mere a common factor among some of the functional areas only, but clicks as a common function of management, as it is getting spread, which may be needed to be recognized now theoretically too. Operation function too has been pervaded like every other function, by the different other functions of management. Every function of management requires separate plans respectively. Organising also pervades different other functions of management and also required controlling as the planning requires. That's why, the apparent flowing' function's similarity with & influence by 1st 2 functions of the management, planning & organising, might not been needed to be a reason to deny the possibility of it's existence as a separate function of management or administration. Thus the ‘flow-process’ or operations seems not just as a separate ‘functional-area’ like manufacturing, but seems a function of management like planning etc. which may pervade some or all the functional areas of management, like Marketing, HRM, Finance, Production, Research, Office & IT etc.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129644839","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}

引用次数: 0

Influence of values on quality consciousness among Indian consumers 价值观对印度消费者质量意识的影响

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2017-02-01 DOI: 10.1109/ICDMAI.2017.8073506

Vishnu S. Nair, Deepak Gupta, S. Gunasekar

{"title":"Influence of values on quality consciousness among Indian consumers","authors":"Vishnu S. Nair, Deepak Gupta, S. Gunasekar","doi":"10.1109/ICDMAI.2017.8073506","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073506","url":null,"abstract":"India is a country which possess the world's oldest and most diverse cultures embedded by a set of core values. In spite of this diversity, core values are cherished by the people across the country. Consumer choices are impacted to a good extend by their way of life, qualities and social class, alongside the society they connect with and those they respect. In general, values are held beliefs that are closely connected to culture about what's acceptable and desirable. The objective of this study is to understand the influence of values on quality seeking behavior of Indian consumers. A model was created to conceptualize and understand these factors. The study was conducted by means of an online survey which collected data from 166 respondents across 32 Indian cities. All variables used in the study are measured using standard scales taken from literature. The results from the logistic regression indicate that giving of more importance to values such as being well respected in the society and sense of accomplishment has a positive influence on the quality consciousness. The study further reveals that consumers who earn higher income tend to be more quality seeking than those who earn less income.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131799947","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}

引用次数: 2

Machine learning oriented gesture controlled device for the speech and motion impaired 面向语言和运动障碍的机器学习手势控制设备

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2017-02-01 DOI: 10.1109/ICDMAI.2017.8073528

A. Gupta, S. Jagadish

引用次数: 2

Electric power price forecasting using data mining techniques 基于数据挖掘技术的电价预测

2017 International Conference on Data Management, Analytics and Innovation (ICDMAI) Pub Date : 2017-02-01 DOI: 10.1109/ICDMAI.2017.8073513

Mrinall K. Patil, S. Deshmukh, Ritu Agrawal

{"title":"Electric power price forecasting using data mining techniques","authors":"Mrinall K. Patil, S. Deshmukh, Ritu Agrawal","doi":"10.1109/ICDMAI.2017.8073513","DOIUrl":"https://doi.org/10.1109/ICDMAI.2017.8073513","url":null,"abstract":"Electricity price is the governing factor in taking various operational decisions such as generation scheduling, exchange of power amongst utilities, trading of power in market along with keeping pace with technical stability and reliability of power system. The accurate forecasting of price of electric power is a need of every participant in restructured power system scenario. Hence, this paper is an attempt to apply data mining for forecasting the electricity price. The k-mean algorithm is used for classification of data of historical prices of New York Energy Market (NYISO) according to type of day, into three classes. The k-NN algorithm to divide the classified data into two patterns for month of February-March and April to January. Once classification is done, the data is used for developing forecasting model. The historical electricity price data of 2014, along with load is used as input patterns. The accuracy of the developed model is verified by forecasting respective period samples of 2015. The performance of forecasting model is very satisfactory. The step wise development of forecasting model and the results are discussed in detail.","PeriodicalId":368507,"journal":{"name":"2017 International Conference on Data Management, Analytics and Innovation (ICDMAI)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123579429","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}

引用次数: 6