检索结果-内蒙古大学图书馆

International Conference on Innovations in Power and Advanced Computing Technologies

作者： Nikunj Joshi Bintu Kadhiwala PG Student Computer Engineering Department Sarvajanik College of Engineering and Technology Surat Gujarat India Assistant Professor Computer Engineering Department Sarvajanik College of Engineering and Technology Surat Gujarat India

ISBN: (纸本)9781509056835

Nowadays, many people get connected with each other in one virtual world known as "Cyber Society" instead of physically connected. The interaction of people with cyber society components, such as social media, search engines, blogs, websites - with their services, causes generation of enormous amount of data termed as, "Big Data", With adaption of Big Data in banking, finance, retail industry, health care, smart city, social media and IT sectors, it has started gaining importance along with many research challenges such as heterogeneity, data life cycle management, data processing, scalability, security and privacy, and data visualization. Many security and privacy issues emerged with Big Data that are not likely to be solved by conventional security solutions. Hence, this article is aimed to present overall perspective snapshot of security and privacy issues of Big Data.

关键词： Big Data Data security Data privacy

来源：评论

学校读者我要写书评

暂无评论

Integration of internet of things to reduce various losses of jatropha seed supply chain

引用

IOP Conference Series: Materials Science and engineering 2017年第1期211卷

作者： S P Srinivasan J Anitha R Vijayakumar Professor and Head Department of Mechanical Engineering Rajalakshmi Engineering College India Assistant Professor Department of Information Technology Rajalakshmi Engineering College India Assistant Professor Department of Computer Science & Engineering Rajalakshmi Engineering College India

The evolution of bio fuel supply chain has revolutionized the organization by restructuring the practices of the traditional management. A flexible distribution system is becoming the need of our society. The main focus of this paper is to integrate IoT technologies into a cultivation, extraction and management of Jatropha seed. It was noticed that major set-back of farmers due to poor supply chain integration. The various losses like information about the Jatropha seed availability, the location of esterification plants and distribution details are identified through this IoT. This enables the farmers to reorganize the land resources, yield estimation and distribution functions. The wastage and the scarcity of energy can be tackled by using the smart phone technologies. This paper is proposes a conceptual frame work on various losses involved in the supply chain of Jatropha seed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Identifying Negative Interactions in Protein-Protein Interaction Network Using Weak Edge-edge Domination Set

引用

Procedia Technology 2016年 24卷 1423-1430页

作者： Sminu Izudheen Sheena Mathew Assistant Professor Department of Computer Science & Engineering Rajagiri School of Engineering & Technology Kerala India Professor Division of Computer Engineering School of Engineering Cochin University of Science & Technology Kerala India

Link prediction has recently attracted the attention of many researchers as an effective technique to understand the associations between proteins. But most of the work in this area was concentrated on predicting existence of links in future. Very few works has explored the prediction of links that might disappear in future. Also, links predicted by these methods may contain high levels of wrong interactions. In this paper, we propose a method to optimize the negative link predicted in protein network through Weak Edge-Edge Domination (WEED) set. We have tested our model using different standard prediction methods and the results obtained assert that our method can be used as an effective method to reduce false positive rate of negative links predicted in protein network.

关键词： Link Prediction Protein Protein Interactions Domination Set Weak Edge Edge Domination Set.

来源：评论

学校读者我要写书评

暂无评论

Challenges and Techniques for Testing of Big Data

引用

Procedia computer Science 2016年 85卷 940-948页

作者： Naveen Garg Sanjay Singla Surender Jangra Research Scholar Department of Computer Science Engineering I.K. Gujral Punjab Technical University Jalandhar India Assistant Professor Amity University Uttar Pradesh India Professor & HoD Department of Computer Science Engineering IET Bhaddal India Assistant Professor Department of IT Engineering HCTM Kaithal India

Big Data, the new buzz word in the industry, is data that exceeds the processing and analytic capacity of conventional database systems within the time necessary to make them useful. With multiple data stores in abundant formats, billions of rows of data with hundreds of millions of data combinations and the urgent need of making best possible decisions, the challenge is big and the solution bigger, Big Data. Comes with it, new advances in computing technology together with its high performance analytics for simpler and faster processing of only relevant data to enable timely and accurate insights using data mining and predictive analytics, text mining, forecasting and optimization on complex data to continuously drive innovation and make the best possible decisions. While Big Data provides solutions to complex business problems like analyzing larger volumes of data than was previously possible to drive more precise answers, analyzing data in motion to capture opportunities that were previously lost, it poses bigger challenges in testing these scenarios. Testing such highly volatile data, which is more often than not unstructured generated from myriad sources such as web logs, radio frequency Id (RFID), sensors embedded in devices, GPS systems etc. and mostly clustered data for its accuracy, high availability, security requires specialization. One of the most challenging things for a tester is to keep pace with changing dynamics of the industry. While on most aspects of testing, the tester need not know the technical details behind the scene however this is where testing Big Data Technology is so different. A tester not only needs to be strong on testing fundamentals but also has to be equally aware of minute details in the architecture of the database designs to analyze several performance bottlenecks and other issues. Like in the example quoted above on In-Memory databases, a tester would need to know how the operating systems allocate and de-allocate memory and u

关键词： Big Data Testing Verasity Hadoop

来源：评论

学校读者我要写书评

暂无评论

Door Security using Face Detection and Raspberry Pi

引用

IOP Conference Series: Materials Science and engineering 2018年第1期331卷

作者： Venkatesh Bhutra Harshav Kumar Santosh Jangid L Solanki Student Department of Electronics and Communication BKBIET Pilani Rajasthan India 333031. Student Department of Computer Science & Engineering BKBIET Pilani Rajasthan India 333031. Assistant Professor Department of Electronics and Communication BKBIET Pilani Rajasthan India 333031 Principal (Academics) BKBIET Pilani Rajasthan India 333031.

With the world moving towards advanced technologies, security forms a crucial part in daily life. Among the many techniques used for this purpose, Face Recognition stands as effective means of authentication and security. This paper deals with the user of principal component and security. PCA is a statistical approach used to simplify a data set. The minimum Euclidean distance found from the PCA technique is used to recognize the face. Raspberry Pi a low cost ARM based computer on a small circuit board, controls the servo motor and other sensors. The servo-motor is in turn attached to the doors of home and opens up when the face is recognized. The proposed work has been done using a self-made training database of students from B.K. Birla Institute of engineering and Technology, Pilani, Rajasthan, India.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Maturity Assessment of Hospital Information Systems Based on Electronic Medical Record Adoption Model (EMRAM)— Private Hospital Cases in Iran

引用

International Journal of Communications, Network and System Sciences 2016年第11期9卷 471-477页

作者： Masarat Ayat Mohammad Sharifi Department of IT and Computer Engineering Payame Noor University Tehran Iran Assistant Professor and Senior IT Consultant Tehran Iran

Introduction: Today, information technology is considered as an important national development principle in each country which is applied in different fields. Health care as a whole and the hospitals could be regarded as a field and organizations with most remarkable IT applications respectively. Although different benchmarks and frameworks have been developed to assess different aspects of Hospital Information Systems (HISs) by various researchers, there is not any suitable reference model yet to benchmark HIS in the world. Electronic Medical Record Adoption Model (EMRAM) has been currently presented and is globally well-known to benchmark the rate of HIS utilization in the hospitals. Notwithstanding, this model has not been introduced in Iran so far. Methods: This research was carried out based on an applied descriptive method in three private hospitals of Isfahan—one of the most important provinces of Iran—in the year 2015. The purpose of this study was to investigate IT utilization stage in three selected private hospitals. Conclusion: The findings revealed that HIS is not at the center of concern in studied hospitals and is in the first maturity stage in accordance with EMRAM. However, hospital managers are enforced and under the pressure of different beneficiaries including insurance companies to improve their HIS. Therefore, it could be concluded that these types of hospitals are still far away from desirable conditions and need to enhance their IT utilization stage significantly.

关键词： Electronic Medical Record Adoption Model Hospital Information System Iran

来源：评论

学校读者我要写书评

暂无评论

Gesture Control Using Single Camera for PC

引用

Procedia computer Science 2016年 78卷 146-152页

作者： N. Lalithamani Assistant Professor (SG) - Department of Computer Science and Engineering Amrita School of Engineering AMRITA VISHWA VIDYAPEETHAM (University) Coimbatore India

In the past decade, more stress has been given to user interface since technology is made available to every human being. This includes advancement of touch technology over buttons and many more gesture control mechanisms. These technologies enable even a laymen to better use the day-to-day technologies like cell phone and personal computer easily with navigation. This work focuses on one such technology that can be implemented on a PC (Personal computer). We use single web camera as input device to recognize gestures of hand. Some of these gestures include controlling the mouse cursor, the clicking actions, and few shortcuts for opening specific applications. This work includes Face Recognition model as an replacement for default lock screen. The Face Recognition model uses Viola and Jones method for detection of face and PCA (Principal Component Analysis) for recognition and identification of algorithms.

关键词： Gesture recognition Face recognition PC

来源：评论

学校读者我要写书评

暂无评论

Sandhi Splitter for Malayalam Using MBLP Approach

引用

Procedia Technology 2016年 24卷 1522-1527页

作者： M. Nisha P.C. Reghu Raj Mtech Scholar Department of Computer Science and Engineering Government Engineering College Sreekrishnapuram Palakkad Kerala Assistant Professor Department of Computer Science and Engineering Government Engineering College Sreekrishnapuram Palakkad Kerala

The morphological richness and the agglutinative nature of Malayalam make it necessary to retrieve the root word from its inflected form in most of the NLP tasks. This paper presents an approach to identify the suffixes of Malayalam words using MBLP approach. The idea here is to use Memory Based Language Processing (MBLP) algorithm for Malayalam suffix identification. MBLP is an approach to language processing based on exemplar storage during learning and analogical reasoning during processing. Sandhi splitting is essential for morphological analysis, document indexing and topic modeling. Suffix separation improves the quality of machine translated text. Training instances created from words are manually annotated for their segmentation and the system is trained using TiMBL (Tilberg Memory Based Learner). The paper presents memory-based model of Malayalam suffix identification and its generalization accuracy.

关键词： Malayalam Morphology Memory Based Learning Memory Based Language Processing

来源：评论

学校读者我要写书评

暂无评论

COGOM: Cognitive Theory Based Ontology Matching System

引用

Procedia computer Science 2016年 85卷 301-308页

作者： K. Saruladha S. Ranjini Pondicherry Engineering College Senior Assistant Professor Department Of Computer Science Pondicherry-605008 Pondicherry Engineering College M.Tech Department Of Computer Science Pondicherry-605008

Ontology matching systems take a prominent position in solving semantic heterogeneity problems to facilitate sharing and reuse of ontologies. The process of generating ontology alignments through ontology matching techniques purely lies on how the concepts and relationships are modeled. This paper focuses on designing an ontology matching system in which concepts are modeled based on cognitive units of knowledge comprising of objects, attributes and relationships. The proposed cognitive based ontology matching system(COGOM) identifies semantically related concepts by aggregating the attribute similarity degree, structural similarity degree and semantic conception degree. The similarity computation is adapted from the Tversky psychological model of similarity. The proposed ontology matching system is adaptive in nature because of the cognitive based knowledge expression and the computational overhead of generating alignments is improved by forming quality clusters of semantically correlating concepts thus reducing the concept match space. The precision and recall metrics are used for evaluation of the proposed system using the benchmark data sets of OAEI 2015.

关键词： Semantic heterogeneity COGOM Tversky Quality clusters Precision Recall

来源：评论

学校读者我要写书评

暂无评论

Correlation Review of Classification Algorithm Using Data Mining Tool: WEKA, Rapidminer, Tanagra, Orange and Knime

引用

Procedia computer Science 2016年 85卷 662-668页

作者： Amrita Naik Lilavati Samant Assistant Professor Computer Engg. DepartmentDon Bosco College of EngineeringMargao-Goa403604. India

This paper conducts a correlation review of classification algorithm using some free available data mining and knowledge discovery tools such as WEKA, Rapid miner, Tanagra, Orange and Knime. The accuracy of classification algorithm like Decision tree, Decision Stump, K-Nearest Neighbor and Naïve Bayes algorithm have been compared using all five tools. Indian Liver Patient DataSet is used for testing the Classification algorithm in order to classify the people with and without Liver disorder.

关键词： Classification Data Ming

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：