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International Conference on Electronic Systems, Signal Processing and Computing

作者： Pradnya S. Borkar Anjali R. Mahajan Ph.D Student Department of Computer Science and Engg. Priydarshini Institute of Engineering and Technology Nagpur Maharashtra Professor and Head Department of Computer Science and Engg. Priydarshini Institute of Engineering and Technology NagpurMaharashtra

ISBN: (纸本)9781479921041

Bioinformatics is the combination of two fields Biology and computer science. Now a days this application plays vital role for each molecular biological study. It uses various implementations and algorithms for analyzing and integration of biological data. RNA (ribo-nucleic acid) provides a mechanism to copy the genetic information of the DNA. It is very important to study the folding of RNA molecules to understand their role and functionalities. Researchers can find different important role of RNA molecules depending upon their RNA secondary structure which will be useful to discover antiviral drugs for diseases. In this paper we have given a review of various implementations and algorithms for RNA Secondary structure prediction.

关键词： RNA secondary structure RNA folding Prediction methods

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Synopsis of an engineering solution for a painful problem Phantom Limb Pain

Synopsis of an engineering solution for a painful problem Ph...

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International Conference on computer Vision Theory and Applications (VISAPP)

作者： A. Mousavi J. Cole T. Kalganova R. Stone J. Zhang S. Petiffer R. Walker P. Nikopoulou-Smyrni D. Henderson Slater A. Aggoun S. Von Rump S. Naylor School of Engineering and Design Brunel University Uxbridge London U.K Poole Hospital and a visiting professor at Bournemouth University Bournemouth U.K College of Engineering and Physical Sciences Birmingham University Birmingham U.K Computer Graphics and leads the Computer Animation Research Centre Bournemouth University Bournemouth U.K School of Computer Science University of Manchester Manchester U.K Shadow Robot Ltd. London U.K School of Health Sciences & Social Care Brunel University Uxbridge London. U.K Oxford Centre for Enablement Nuffield Orthopaedic Centre Oxford U.K Giraff Technologies AB Västerås Sweden

ISBN: (纸本)9781479976867

This paper is synopsis of a recently proposed solution for treating patients who suffer from Phantom Limb Pain (PLP). The underpinning approach of this research and development project is based on an extension of “mirror box” therapy which has had some promising results in pain reduction. An outline of an immersive individually tailored environment giving the patient a virtually realised limb presence, as a means to pain reduction is provided. The virtual 3D holographic environment is meant to produce immersive, engaging and creative environments and tasks to encourage and maintain patients' interest, an important aspect in two of the more challenging populations under consideration (over-60s and war veterans). The system is hoped to reduce PLP by more than 3 points on an 11 point Visual Analog Scale (VAS), when a score less than 3 could be attributed to distraction alone.

关键词： Pain Mirrors Tracking Medical treatment Robots Phantoms Three-dimensional displays

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Big Data: Prospects and Challenges

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Vikalpa 2015年第1期40卷 74 - 96页

作者： Janakiraman Moorthy Rangin Lahiri Neelanjan Biswas Dipyaman Sanyal Jayanthi Ranjan Krishnadas Nanath Pulak Ghosh (Coordinator) Director and Professor of Marketing at the Institute of Management Technology Dubai. Earlier he was Professor of Marketing at the IIM Calcutta and IIM Lucknow. He received his PhD from IIM Ahmedabad. His recent research papers were published in the leading scholarly ournals such as Marketing Science British Food Journal Journal of Information Technology Case and Application Research Journal of Database Marketing & Customer Strategy Management. He has wide experience in the banking and investment industry. He was earlier the Global Research and Project Director of the Institute for Customer Relationship Management Atlanta USA. He was the Convener of the prestigious CAT Exam 2011. e-mail: Practice Director leading Atos India's CRM practice while supporting Strategic Business Development for North American Market. With an experience of more than 15 years Rangin has worked extensively as a Business Consultant in Information Technology (Sales Automation Marketing & Service Management area) Customer Data Management and CRM Analytics. e-mail: Business Consultant at Atos with extensive experience in Business Analysis Risk Management Analytics Business Development Presales Solution Ideation on Enterprise Data Management Enterprise Reference Data and Master Data Management area. e-mail: founder and CEO of dono consulting a boutique quantitative analytics and investment research firm. He has worked for leading financial firms in New York and India including Dow Jones Blackstone Sorin Capital (VP Quantitative Modeling) and Thomson Reuters (Head of Real Estate Analytics). A CFA charter holder and Commonwealth Scholar Deep has an MS (Applied Economics) from University of Texas Dallas and an MA (Economics) from Jadavpur University e-mail: Professor in the Information Systems Group of the Institute of Management Technology Ghaziabad. Her PhD is in the field of data mining from Jamia Millia Islamia Central University India. She has published five edited books. She is serving on the editorial b

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Human object extraction using nonextensive fuzzy entropy and chaos differential evolution

International Journal of Signal Processing, Image Processing...

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International Journal of Signal Processing, Image Processing and Pattern Recognition 2013年第2期6卷 43-54页

作者： Nie, Fangyan Li, Jianqi Rong, Qiusheng Pan, Meisen Zhang, Fen Institute of Graphics and Image Processing Technology College of Computer Science and Technology Hunan University of Arts and Science China

Human object extraction from infrared image has broad applications, and has become an active research area in image processing community. Combined with chaos differential evolution (CDE) algorithm and morphological operators, a novel infrared human target extraction method is proposed based on nonextensive fuzzy entropy. Firstly, the image was transformed into a fuzzy domain by fuzzy membership function, and the image nonextensive fuzzy entropy was constructed. Then, the image was segmented by thresholding based on the maximum entropy principle and the pseudoadditivity rule of nonextensive entropy. In order to reduce the search time of optimal threshold selection, the CDE algorithm was presented. Finally, the object was extracted using morphological operators to denoise, fill cavity on the threshold segmented image. Experimental results show that the proposed method is efficient and requires less computation time.

关键词： Evolutionary algorithms

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GPU-ASIFT: A fast fully affine-invariant feature extraction algorithm

GPU-ASIFT: A fast fully affine-invariant feature extraction ...

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International Conference on High Performance Computing & Simulation (HPCS)

作者： Valeriu Codreanu Feng Dong Baoquan Liu Jos B.T.M. Roerdink David Williams Po Yang Burhan Yasar Scientific Visualization and Computer Graphics Groningen Netherlands Scientific Visualization and Computer Graphics Rijksuniversiteit Groningen Groningen The Netherlands Department of Computer Science and Technology University of Bedfordshire Bedfordshire UK Rotasoft Inc. Turkey

This paper presents a method that takes advantage of powerful graphics hardware to obtain fully affine-invariant image feature detection and matching. The chosen approach is the accurate, but also very computationally expensive, ASIFT algorithm. We have created a CUDA version of this algorithm that is up to 70 times faster than the original implementation, while keeping the algorithm's accuracy close to that of ASIFT. It's matching performance is therefore much better than that of other non-fully affine-invariant algorithms. Also, this approach was adapted to fit the multi-GPU paradigm in order to assess the acceleration potential from modern GPU clusters.

关键词： graphics processing units Feature extraction Kernel Mathematical model Instruction sets Hardware Accuracy

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Using a Serious Game Approach to Teach 'Operator Precedence' to Introductory Programming Students

Using a Serious Game Approach to Teach 'Operator Precedence'...

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International Conference on Information Visualisation (IV)

作者： Nicoletta Adamo-Villani Thomas Haley-Hermiz Robb Cutler Department of Computer Graphics Technology Purdue University West Lafayette IN USA Department of Computer Science Purdue University West Lafayette IN USA

In this paper we describe the design, development, formative evaluation and initial findings of one level of a serious game whose objective is to teach Information Assurance concepts to undergraduate students in introductory programming courses. The game level focuses on the concept of 'operator precedence'. The player travels through a multilevel 3- dimensional maze and at each junction in the maze he/she is required to solve a mathematical problem that involves the application of operator precedence rules. A correct answer allows the player to move closer to the maze exit, an incorrect solution moves the player farther from the end of the maze. Initial findings from a formative study with a group of 14 undergraduate students show that the game level is usable, engaging and useful for learning/reviewing the intended programming concept.

关键词： Games computers Programming profession Educational institutions Security

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Constraint based Sequential Pattern Mining in Time Series Databases - A Two Way Approach

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AASRI Procedia 2013年 4卷 313-318页

作者： Vangipuram Radhakrishna Chintakindi Srinivas C.V. Guru Rao Department of Information Technology VNR Vignana Jyothi Institute of Engineering and Technology Hyderabad INDIA Associate Professor Department of Computer Science and Engineering Kakatiya Institute of Technology and Science Warangal INDIA Professor & Head Department of Computer Science and Engineering S. R Engineering CollegeHasanparthy Warangal INDIA

Most of the patter search algorithms in literature are mostly string based and do not concentrate on finding sequential patterns with constraints in a given database. Also in query languages such as SQL or MySQL, the select clause does not allow the use of the non-aggregate functions as part of query compilation. The objective of this work is to propose a pattern mining algorithm which may be embedded into SQL or MySQL Query languages so that we can search for presence of sequential pattern in the database. The algorithm makes use of sliding sequential patterns with three look-ahead elements in the event of any mismatch.

关键词： equence pattern look ahead time series sequence tuple

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Person Unique Identification Based on Ear's Biometric Features

Person Unique Identification Based on Ear's Biometric Featur...

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International Conference on Intelligent Systems and Signal Processing

作者： Trupti S. Indi Suhas D. Raut Master of Engineering Student Department of Computer Science & Engineering Walchand Institute of Technology Phd Professor Department of Computer Science & Engineering Nagesh Karajagi Orchid College of Engineering and Technology

ISBN: (纸本)9781479903160

Traditionally, thumb print and iris pattern are used for person identification as biometric features. Use of ear is recent biometric evolution for identification. A system is presented here for person identification using ear features. Digitally captured ear image is processed to extract ear features (Helix rim, Lobule, Triangularfossa, Concha and Tragus) and stored in database for matching process. Matching process uses projection lines to quantify ear features. Matching process gives matched profile as a result of system in graphical format as well as textual format with tolerance limit of ± 15%.

关键词： Biometric Ear Person Identification Feature Extraction

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Penny: An extremely low-cost pressure-sensitive stylus for existing capacitive touchscreens 13th

Penny: An extremely low-cost pressure-sensitive stylus for e...

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13th International conference on New Interfaces for Musical Expression, NIME 2013

作者： Wang, Johnty D’alessandro, Nicolas Pon, Aura Fels, Sidney Media and Graphics Interdisciplinary Centre University of British Columbia VancouverBC Canada numediart Institute for New Media Art Technology University of Mons MonsB-7000 Belgium Interactions Lab Depts. of Music and Computer Science University of Calgary CalgaryAB Canada Electrical and Computer Engineering & MAGIC University of British Columbia VancouverBC Canada

By building a wired passive stylus we have added pressure sensitivity to existing capacitive touch screen devices for less than $10 in materials, about 1/10th the cost of existing solutions. The stylus makes use of the built-in audio interface that is available on most smartphones and tablets on the market today. Limitations of the device include the physical constraint of wires, the occupation of one audio input and output channel, and increased latency equal to the period of at least one audio buffer duration. The stylus has been demonstrated in two NIME applications thus far: a visual musical score drawing and a singing synthesis application. © 2013, Steering Committee of the International Conference on New Interfaces for Musical Expression. All rights reserved.

关键词： Touch screens

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Clustering Software Components for Program Restructuring and Component Reuse Using Hybrid XOR Similarity Function

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AASRI Procedia 2013年 4卷 319-328页

作者： Chintakindi Srinivas Vangipuram Radhakrishna C.V. Guru Rao Associate Professor of CSE Kakatiya Institute of Technology and Science Warangal INDIA Department of Information Technology VNR Vignana Jyothi Institute of Engineering and Technolog HyderabadINDIA Professor of Computer Science and Engineering SR Engineering CollegeWarangalINDIA

Component based software development has gained a lot of practical importance in the field of software engineering from several researchers and also from industry perspective. Finding components for efficient software reuse is one of the important problems aimed by researchers. Clustering reduces the search space of components by grouping similar entities together thus ensuring reduced time complexity as it reduces the search time for component retrieval. In this research, we instigate a new a generalized approach for clustering a given set of documents or text files or components by defining a new similarity function called hybrid XOR function for the purpose of finding degree of similarity between two document sets or software components. We construct a matrix called similarity matrix of the order n-1 by n for a given set of n documents or components or patterns by applying hybrid XOR function. We define and design the algorithm for component or document clustering which has the input as similarity matrix and output being set of clusters formed dynamically as compared to other clustering algorithms that predefine the count of clusters. The output is a set of highly cohesive pattern groups or documents. The approach can be justified as it carries out very simple computational logic and efficient in terms of processing with reduced search space and can be also be used in general for document clustering or software component clustering.

关键词： Clustering hybrid XOR frequent itemsets mining classification,components

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