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3D reconstruction and virtual exploration of submerged structures: A case study in the underwater archaeological site of Baia (Italy)

3D reconstruction and virtual exploration of submerged struc...

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13th international Symposium on Virtual Reality, Archaeology, and Cultural Heritage, VAST 2012 - 10th EUROGRAPHICS workshop on Graphics and Cultural Heritage

作者： Gallo, A. Angilica, A. Bianco, G. De Filippo, F. Muzzupappa, M. Davidde, B. Bruno, F. Italy ISCR Istituto Superiore per la Conservazione Ed Il Restauro Rome Italy

ISBN: (纸本)9783905674392

the 3D reconstruction of underwater scenes is almost a requirement for a number of applications that need to gather 3D data from fauna, flora or submerged structures. In the Cultural Heritage field, 3D models of finds and archaeological sites are widely used, either for scientific research or for dissemination to the public. 3D imaging techniques based on multi-view capture are a valid and effective tool in underwater applications, because they require to capture the scene by different viewpoints using just one still or movie camera, installed on robots or handled by a scuba diver. In this paper we test a technique for 3D reconstructions from images captured by multiple views in a case study of submerged structures in the underwater archaeological site of Baia (Italy). this case study is particularly critical due to the high level of turbidity, the heavy presence of marine flora and the changing of lighting conditions, common in shallow water. All these disturbances cause a decrease of the contrast and an alteration of the colours in the acquired images. the 3D model of a portion of the site has been reconstructed in a virtual environment, both for studying and dissemination fruition purposes. In particular, a 3D application has been developed in order to allow the exploration of the site, the measurement of the architectonical elements and the simulation of the movements of a robot that performs specific operations of restoration and preservation. © the Eurographics Association 2012.

关键词： Virtual reality

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Expression of Concern for: Analysis of Machine Learning algorithms in Big data Analytics

Expression of Concern for: Analysis of Machine Learning Algo...

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international Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Er. Sandeep Kaur Anand Kumar Shukla Chandigarh University Punjab India

ISBN: (数字)9781665439701

ISBN: (纸本)9781665439718

Massive information being a brilliant resource of information and understanding from structures to the different end users. However, managing this much quantity of information wishes automation, thus leading to a fashion of statistics processing along with gadget mastering techniques. Inside the ict region, as in various areas of trade and evaluation, structures and equipment have been furnished and advanced in assisting the specialists to deal with the information and study from it routinely. Maximum of the systems returned from large corporations such as Microsoft or Google, or from the apache foundation’s incubators. this evaluation reveals gadget mastering algorithms in big records analytics, and gadget mastering challenges us to make selections where it may be no recognized "right course" for the specified trouble based on the previous training and tallies a number of the headmost used gear to analyze and model massive-statistics.

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Elite Leader Finding Algorithm for MANETs

Elite Leader Finding Algorithm for MANETs

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international Symposium on Parallel and Distributed Computing

作者： Awadhesh Kumar Singh Shantanu Sharma Department of Computer Engineering National Institute of Technology Kurukshetra Haryana India

the mobile ad hoc network (MANET) is a hostile environment to design and implement computing algorithms. In MANETs, the coordinator election is the opening step to execute any service. thus, the leader election is, de facto, prerequisite to various applications e.g., agreement, inter node communication, data exchange, serve the incoming request, key distribution, group communication, grant privileges, etc. the message propagation is costly affair as compared to computation. the MANET being bandwidth and power scarce, the development of message efficient protocols has been a preferred problem of research. Hence, in the contemporary literature, several protocols exist for leader election which focuses on reducing the number of algorithmic messages. the present article proposes a message efficient and failure resilient technique that improves leader availability. the proposed technique elects a vice-coordinator and a group of elite nodes as cabinet that avoids frequent leader election in the event of leader crash. Unlike, most of the contemporary leader election protocols, it avoids the broadcast of messages, to a large extent, and uses multicast and eventually unicast in leader election. the illustration also includes the simulated results and efficiency analysis of the proposed technique.

关键词： Protocols Nominations and elections Mobile computing Ad hoc networks data structures Computer crashes Fault tolerance

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Ultra low leakage structures for logic circuits using symmetric and asymmetric FinFETs

Ultra low leakage structures for logic circuits using symmet...

引用

Annual IEEE Northeast workshop on Circuits and Systems (NEWCAS)

作者： Farid Moshgelani Dhamin Al-Khalili Côme Rozon Department of Electrical and Computer Engineering Royal Military College of Canada Canada

In this paper, FinFET devices are analyzed with emphasis on sub-threshold leakage current control. this is achieved through proper biasing of the back gate, and through use of asymmetric work functions for the four terminal FinFET devices. We are also examining various transistor configurations and circuit topologies for logic gates using both symmetric and asymmetric work function transistors. Based on extensive characterization data, the logic gates using symmetric devices with one additional supply voltage have the best tradeoff between leakage current and performance. However, with asymmetric devices the leakage current drops by an average of 95% with degradation in delay of 8%. For a carry generation complex gate, our configuration, using symmetric devices, both leakage current and delay are improved by 35% and 47% respectively compared to results in the literature. Using asymmetric devices without additional supply achieves average improvements in leakage and delay of 81% and 5% respectively. All simulations are based on 25nm FinFET technology using the University of Florida UFDG model.

关键词： Logic gates Leakage current FinFETs Delay Adders Logic circuits

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Majority-voting FCM algorithm in the vague fuzzy classification

Majority-voting FCM algorithm in the vague fuzzy classificat...

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IEEE international Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Gang Hwa Lee Yoon Chul Lee Soon Hak Kwon Suk Gyu Lee Sch. of Electr. Eng. Yeungnam Univ. Kyongbuk South Korea Yeungnam University South Korea

ISBN: (纸本)078037293X

the FCM algorithm is an essential tool for the fuzzy classification. But it suffers vague decision diversity due to the heavy dependence upon the initial randomization. To provide less vague decision strategy we suggest a modified FCM algorithm that uses multiple randomizations of the membership functions. the algorithm inherently provides the parallelism and implied stochastic annealing of the convergence trajectory. the strategy to switch among multiple prototypes during each simulation step is the "majority voting" in nature. the algorithm naturally provides the "averaged rate of convergence" and a convincing decision measure to accept a "more suitable" class among huge set of all legitimate classifications. the contributions are 1) the MV FCM algorithm, 2) the sketch of the convergence analysis.

关键词： Convergence Clustering algorithms Switches Stochastic processes Annealing Virtual prototyping Algorithm design and analysis data structures Minimization methods Prototypes

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Visualization of MRI datasets for Anatomical Brain Segmentation by Pixel-level Analysis

Visualization of MRI Datasets for Anatomical Brain Segmentat...

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international Conference and workshop on Computing and Communication (IEMCON)

作者： Heranjithan Manoharan Grantham Pang Hao Wu Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong P.R. China College of Electronic and Information Engineering Shenzhen University Shenzhen P.R. China

ISBN: (纸本)9781728125312

In this paper, segmentation of the brain MRI images are carried out by performing pixel-level analysis with deep learning approaches. Image segmentation is often used for medical image analysis and is an early diagnosis tool for clinical applications. Brain images acquired by MRI machines need to be segmented into anatomical structures for detecting morphological changes. One can then visualize the anatomical structures and take quantitative measurements if required. this allows surgeons to plan out surgeries and the method of approach when removing tumors or other lesions. As large MRI datasets become available, deep learning can be used to carry out pixel-level analysis for determining its class in the brain anatomical structure, which can enhance visual intelligence. this paper aims to use the latest deep learning techniques like dropout, batch normalization and data preprocessing to accurately segment images based the MICCAI 2012 dataset, which contains 35 manually segmented MRI into 134 anatomical brain structures. the segmented result into 134 classes/regions are then visualized in colored images. the model uses a multi-patch data extraction algorithm which helps to classify the center voxel of the extracted patches. the result obtained reaches a mean dice coefficient of 76.2%, which has outperformed the best previous result of a mean dice coefficient of 72.5%.

关键词： Deep learning Training Image segmentation Magnetic resonance imaging Anatomical structure Brain modeling data models

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Delaunay Triangulations on the Word RAM: Towards a Practical Worst-Case Optimal Algorithm

Delaunay Triangulations on the Word RAM: Towards a Practical...

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international Symposium on Voronoi Diagrams in Science and Engineering (ISVD)

作者： Okke Schrijvers Frits van Bommel Kevin Buchin Computer Science Department Stanford University Palo Alto CA USA Department Mathematics and Computer Science Technische Universiteit Eindhoven Netherlands

ISBN: (纸本)9781479905485

the Delaunay triangulation of n points in the plane can be constructed in o(n log n) time when the coordinates of the points are integers from a restricted range. However, algorithms that are known to achieve such running times had not been implemented so far. We explore ways to obtain a practical algorithm for Delaunay triangulations in the plane that runs in linear time for small integers. For this, we first implement and evaluate two variants of BrioDC, an algorithm that is known to achieve this bound. We implement the first O(n)-time algorithm for constructing Delaunay triangulations and found that our implementations are practical. While we do not improve upon fast existing algorithms (with non-optimal worst-case running time) for realistic data sets, our BrioDC implementations do give us insight into the optimal time needed for point location. Secondly, we implement and evaluate variants of BRIO, an algorithm which has an O(n log n) worst-case running time on small integers but runs faster for many distributions. Our variants aim to avoid bad worst-case behavior, which is due to high point location time. Our BrioDC implementation shows that point location time can be reduced by 25% and our squarified space-filling curve orders show the first improvement by reducing this by 3%.

关键词： Sorting data structures Laser radar Random access memory Computer science Legged locomotion Mathematics

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the CDAG: a data structure for automatic parallelization for a multithreaded architecture

The CDAG: a data structure for automatic parallelization for...

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Euromicro Conference on Parallel, Distributed and Network-Based Processing

作者： B. Klauer F. Eschmann R. Moore K. Waldschmidt Technical Computer Sc. Dep Johann Wolfgang Goethe-University of Frankfurt Frankfurt Germany

ISBN: (纸本)0769514448

Despite the explosive new interest in distributed computing, bringing software-particularly legacy software-to parallel platforms remains a daunting task. the self distributing associative architecture (SDAARC) takes a two-fold approach to this problem. Seemingly sequential programs are first translated into a population of migratory threads and containers by the compiler, and then allowed to migrate to minimize communication while maximizing parallelism by a run time environment. However previous compilers for multithreaded architectures such as SDAARC did not permit the full range of control flow complexity found in programming languages such as C. thus, we propose a new data structure, and present algorithms for its construction, which extends the familiar concepts of control flow and data flow graphs to conveniently represent the activities required of an automatically generated thread.

关键词： data structures Yarn Program processors Automatic generation control Explosives Distributed computing Computer architecture Containers Parallel processing Communication system control

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Enhanced SBIR based Re-Ranking and Relevance Feedback

Enhanced SBIR based Re-Ranking and Relevance Feedback

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international Conference on System Modeling & Advancement in Research Trends (SMART)

作者： Sandeep Kumar Arpit Jain Shilpa Rani Deepika Ghai Swathi Achampeta P. Raja Koneru Lakshmaiah Education Foundation Vaddeswaram AP India Teerthanker Mahaveer University Moradabad U.P India Neil Gogte Institute of Technology Hyderabad India Lovely Professional University Punjab India Sreyas Institute of Engineering and Technology Hyderabad India

ISBN: (纸本)9781665439718

Day by day need for a continuous assessment on effectiveness and its accuracy of the recovery algorithm increased. Several sketch-based recovery algorithms exist in the world, but they are not optimal. In the existing work, file structures are applied to enormous databases and data warehouses to acknowledge the recovery process. the process can be sensible and may get affected by quantization blunders. However, the ambiguousness of client models exhibits inappropriate information when using customary picture recovery strategies. So the proposed method, the Sketch-based picture recovery (SBIR) approach, works with recoding and testing. Our methodology utilizes the semantics in inquiry outlines and the top positioned pictures of the essential outcomes. the proposed work applied criticism to find progressively significant information from the sketch-based image. the efficiency of the proposed method is evaluated on QMUL-Shoe dataset and Saavedra dataset. Results show that proposed algorithm improves the accuracy of the sketch-based recovery algorithm.

关键词： Visualization Quantization (signal) Art databases Semantics data warehouses Market research

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Parallel Foreground Object Detection on A Polymorphous Computer

Parallel Foreground Object Detection on A Polymorphous Compu...

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international workshop on Intelligent Communication and Social Networks

作者： Yi Zhang Tao Li Jungang Han School of Computer Science Xi'An University of Posts and Telecom Shaanxi Research Center for Telecom ASIC Design Xi'An University of Posts and Telecom

ISBN: (纸本)9781479909735

Foreground object detection is an important area in computer vision research. It aims to detect, classify, and recognize object in video images. Real time video processing needs to deal with large amount of data. It is also computationally intensive. this paper presents the parallelization of foreground object detection algorithms on a polymorphous computer that is capable of data parallel, thread parallel and instruction parallel computation. A modified approach using background differentiation and image integration is adopted in this research and a parallel implementation is realized on the PAAG polymorphous array processor. the parallel implementation is able to perform effective real-time foreground object detection in fast video frames. Simulation results show that this approach is highly effective.

关键词： Foreground object detection Computer vision Parallel computation Polymorphous processor data parallelism thread level parallelism Instruction level parallelism

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