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A Study of Next Generation Sequencing Data, Workflow, Application and Platform Comparison

IOP Conference Series: Materials science and Engineering 2018年第1期396卷

作者： Aswathy Thankachan Mr Bino Thomas P G Scholar Department of Computer Science and Engineering St.Joseph's College of Engineering and Technology Palai Kerala India. Assistant Professor Department of Computer Science and Engineering St.Joseph's College of Engineering and Technology Palai Kerala India.

DNA sequencing determines the precise order of nucleotides within a DNA molecule. Next generation Sequencing (NGS) is an efficient parallel high throughput DNA Sequencing technology which revolutionizing the genomic research. Earlier methods that are quite expensive give rise to different sequence comparison techniques. NGS used for faster detection of variants in human genome and give rise to accelerated response to disease detection like cancer, hepatitis etc. In this paper work flow of data analysis part of NGS are clearly discussed. The different NGS platforms, its applications and different sequencing comparison techniques are also mentioned here.

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Authenticating Communication of Autonomous Vehicles With Artificial Intelligence

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IOP Conference Series: Materials science and Engineering 2018年第1期396卷

作者： Neetha George Jeena Thomas P G Scholar Department of Computer Science and Engineering St.Joseph's College of Engineering and Technology Palai Kerala India. Assistant Professor Department of Computer Science and Engineering St.Joseph's College of Engineering and Technology Palai Kerala India.

Autonomous vehicles in Vehicular Ad-hoc Networks(VANET)-the spontaneous creation of a wireless network for data exchange to the domain of vehicles may pave the way for future systems where computers take over the art of driving. It aids in transferring secure messages for proper communication between the vehicles. Unauthorized access like injecting spoofed messages to VANET can arise as an extreme threat. So remedies should be taken at early degree of architectonic process. Denial-of Service(DoS) attack takes place while validating each message in VANET, so an equity between message authentication and DoS prevention should be maintained. This paper discusses on diverse security demanding situations and distinct techniques to secure message transfer between the vehicles that are connected wirelessly.

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Review on Energy Harvesting and Data Collection

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IOP Conference Series: Materials science and Engineering 2018年第1期396卷

作者： Thasni Noushad Kishore Sebastian P G Scholar Department of Computer Science and Engineering St.Joseph's College of Engineering and Technology Palai Kerala India. Assistant Professor Department of Computer Science and Engineering St.Joseph's College of Engineering and Technology Palai Kerala India.

Energy harvesting is important in the case of recharging or repay of battery. Energy harvesting means that energy is derivered from external sources like solar energy, thermal energy, kinetic energy and wind energy. Two or more sensors are attached to a body forms Body Sensor Networks (BSNs). BSN s are mainly focused in healthcare domain. it allows patients, physiciants, caregivers, scientists, etc. It useful for continuous monitoring of patients (Diagnosis patients, treatment of chronic obstructive pulmonary disease patients and other health conditions). Doctors made interaction between the data collected body sensors and personal digital assistant (PDA). Disadvantage of existing system is batteries cannot be easly replaced, met must be near a transmitter, expensive, etc. Energy Harvesting and Data Collection (EHDC) focuses two types of energy harvesting techniques such that solar and thermal energy harvesting and two types of data collections are used :indoor and outdoor data collection. Harvested energy can be predicted by using Kalman Filter. EHDC provide mobile healthcare services and does not need recharging.

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Analysis on Various Machine Learning based Approaches with a Perspective on the Performance

Analysis on Various Machine Learning based Approaches with a...

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International Conference on Innovations in Power and Advanced Computing Technologies

作者： Meesala Shobha Rani Sumathy. S Research Scholar School of Computer Science and Engineering VIT University Vellore India Associate Professor School of Information Technology and Engineering VIT University Vellore India

ISBN: (纸本)9781509056835

With the rapid development of web 2.0, increased users of online social media show keen interest to express their opinion and reviews on numerous aspects such as microblogs, various products, hotels, movies and political issues. At present, text mining plays a vital role in various application domains such as online media, healthcare, security applications, business, marketing and industrial applications. In text mining, sentiment analysis or opinion mining is a task carried over to extract or classify the information. This paper presents an exhaustive study on the performance factors highlighting the current state-of art techniques and the open issues on various machine learning based text mining approaches.

关键词： Machine Learning Supervised Semi-supervised Unsupervised Sentiment Analysis

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Unsupervised Blind Quality Estimation of NSS Images using Efficient Feature Extraction

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Journal of Physics: Conference Series 2018年第1期1142卷

作者： S Gopika D Malathi J D Dorathi Research Scholar Department of CSE SRM Institute of Science and Technology Chennai. Faculty Department of Computer Science Kristu Jayanti College Bengaluru. Professor Department of CSE SRM Institute of Science and Technology Chennai.

In present-day date, public work more with images than with textual content. Often, the image which is transmitted over the internet or in wireless network demand a quality analysis to be done before accepting the same at the user's end. A great quantity of work has been done in recent past to develop an unbiased image quality objective value that relate well with perceived quality measurement. In-spite of the tremendous effort, the success achieved is less in this direction. Through this paper, we discuss about the method, EBUQA, an objective analysis method by which the perceptual quality of Natural Scene Statistic image can be found. This method measures the amount of distortion and is quantized as a numeric parameter. Performance analysis and testing done on the method conforms well with the human observation.

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Internationalization Project to Face the Uncertainties of Work Market

Internationalization Project to Face the Uncertainties of Wo...

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Frontiers in Education (FIE) Conference

作者： Claudio R. Brito Henrique D. Santos Luis A. Amaral Melany M. Ciampi Rosa M. Vasconcelos Victor A. Barros President of IEEE Education Society President of COPEC – Science and Education Research Organization Santos Brazil Director of Information Systems Department at University of Minho Vice President for Conferences of IEEE Education Society Guimarães Portugal Professor of Information Systems Department at University of Minho President of CCG – Computer Graphics Centre Guimarães Portugal President of WCSEIT – World Organization on Systems Engineering and Information Technology Secretary of IEEE Education Society Braga Portugal Board of Governors of IEEE Education Society President of Pedagogic Council of Engineering College at University of Minho Guimarães Portugal Researcher of Information Systems Department at University of Minho Executive Secretary of COPEC – Science and Education Research Organization Jataí Brazil

ISBN: (纸本)9781538611753;9781538611746

This paper is a work in progress research to practice project developed in order to enhance the quality of engineering programs. It is a fact that the so called global work market has become challenging and increasingly multicultural The not so new trend for university programs is the internationalization that is a strategic element to raise the quality of courses and thus attracts more students. This trend has made many universities to revise and update their strategies so that their students and their graduates can have the essential academic and professional skills that allow them to enter and to stay in the work market. Although it is not the only measure that guarantees a good course it adds value for the formation of the new professional. The objective is to make it more attractive and promote the double diploma in order to higher the quality of the offered programs.

关键词： Education Organizations Europe Proposals Cultural differences Engineering profession Information systems

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Engineering course specially designed to face retention issue 45

Engineering course specially designed to face retention issu...

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45th Annual Conference of the European Society for Engineering Education, SEFI 2017

作者： Brito, C.R. Ciampi, M.M. Vasconcelos, R.M. Amaral, L.A. Santos, H.D. Barros, V.A. Science and Education Research Council - COPEC São Paulo Brazil World Council on Systems Engineering and Information Technology IEEE Education Society São Paulo Brazil Pedagogical Council School of Engineering University of Minho Guimarães Portugal Computer Graphics Center - CCG Information Systems Department University of Minho Guimarães Portugal Science and Education Research Council - COPEC Information Systems Department University of Minho Jataí Portugal

ISBN: (纸本)9789899887572

Many engineering colleges have been facing the retention problem in engineering programs due to difficulties and lack of knowledge about what really means being an engineer. It is mainly due to the fact that the first 3 years are particularly intense and hard. A possible way to overcome this period is to implement a new kind of course more attractive and dynamic, which is the idea of COPEC's engineering education research team, to embed a course with a more interesting activity for students in the first year. It is a short-term workshop in order to show the students the possibilities of performing as engineers in a global environment - a project developed for a private university in order to augment the retention rate in their engineering courses.

关键词： Curricula

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An Approach for Truth Discovery by Resolving the Conflicts on Categorical Data

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Journal of Physics: Conference Series 2018年第1期1142卷

作者： P Bastin Thiyagaraj A Aloysius Assistant Professor Department of Information Technology St. Joseph's College Trichy India. Assistant Professor Department of Computer Science St. Joseph's College Trichy India.

Data is playing an important role in the world for competitive advantages among nations, organizations and decision making for business development. It is indeed that every day quintillion bytes of different types of data from variety of sources are created and complex in processing (from Medical data, Business transactions, Data captured by sensors, Social media/networks, Banking, Marketing, Government data, etc.). The different sources produce large amount of structured, semi structured and unstructured data with varieties of data. Normally, the unstructured content collected by an organization is in the form of textual format, corporate documents to web pages and social media content. When number of sources produces various descriptions for a particular object, it leads to data conflict. It can be processed, when numerical data and measurement data are produced for the objects using big data tools and statistical tools for having high achievements. But, it is the challenging one to extract and analyse conflicted text from corpus data, collected from various sources. The objective of our work is to produce the true information even when distance between observed values and mean values are closest to each other.

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Distance Based Measurement Approach for Truth Discovery by Resolving the Conflicts in Big Data

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Journal of Physics: Conference Series 2018年第1期1142卷 012013-012013页

作者： BastinThiyagaraj, P Aloysius, A Assistant Professor Department of Information Technology St. Joseph’s College Trichy India. Assistant Professor Department of Computer Science St. Joseph’s College Trichy India.

Big data is a term that describes volume of data (terabytes to Exabyte’s), unstructured (include text and multimedia content), and complex in processing (from Medical data, Business transactions, Data captured by sensors, Social media/networks, Banking, Marketing, Government data, etc.). The traditional technologies are not sufficient to store, process and analyze the data. The unique technologies should be needed to analyze, manage the huge amount and unprocessed data. The number of sources produce huge amount of various descriptions for same object. This leads to data conflict and source conflict, when various sources generate various descriptions for same objects. Here it is the challenging one to identify which source produces quality information and which data is truly fit for an object. Here the heterogeneous data involved such as both numerical data (measurement data) and string data (classified data). The Data Analytics plays an important role to analyze the conflicted data. Distance based approach is used to find highest achievable performance, by minimizing the distance and maximizing the reliability of the sources. The main objective of this work is to resolve the conflicts from the heterogeneous data and identify the true information among the conflicted data from the various sources. Here, the continuous data only taken into an account to identify the true information.

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Augmented Reality - Principles and Practice 15

Augmented Reality - Principles and Practice

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15th Adjunct IEEE International Symposium on Mixed and Augmented Reality, ISMAR-Adjunct 2016

作者： Schmalstieg, Dieter Höllerer, Tobias Institute for Computer Graphics and Vision Graz University of Technology GrazA-8010 Austria Department of Computer Science University of California Santa Barbara Santa BarbaraCA93106-5110 United States

ISBN: (纸本)9781509037407

The world is becoming more complex and problem solving often requires teams of experts to work together at the same or from different locations. To support this there is a need for collaborative tools, and a variety of teleconferencing and telepresence technologies have been developed. However, most of them involve some variation of traditional video conferencing, which has limitations, such as not being able to effectively convey spatial cues or share the user's task space. This workshop will focus on how these limitations can be overcome by using Mixed Reality (MR) technology, leading to the development of radically new types of collaborative experiences. © 2016 IEEE.

关键词： Video conferencing

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