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10th international conference on Image Analysis and Processing, ICIAP 1999

作者： Murli, Almerico D'Amore, Luisa De Simone, Valentina University of Naples Federico II Naples Italy Center for Research on Parallel Computing and Supercomputers Complesso Monte S. Angelo Via Cintia Naples Italy

ISBN: (纸本)0769500404

Discretization of image restoration problems often leads to a discrete inverse ill-posed problem: the discretized operator is so badly conditioned that it can be actually considered as undetermined. In this case one should single out the solution which is the nearest to the desired solution. the usual way to do it is to regularize the problem. In this paper we focus on the computational aspects of the Wiener filter within the framework of the regularization methods. the emphasis is on its reliability and its efficiency, both of which become more and more important as the size and the complexity of the real problem grow and the demand for advanced real-time processing increases. © 1999 IEEE.

关键词： Inverse problems

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An application of hybrid computing to estimate jointly the amplitude and Direction of Arrival with single snapshot

An application of hybrid computing to estimate jointly the a...

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10th international Bhurban conference on Applied Science and Technology (IBCAST)

作者： Zaman, Fawad Khan, Junaid Ali Khan, Zafar Ullah Qureshi, Ijaz Mansoor Int Islamic Univ Dept Elect Engn Islamabad Pakistan

ISBN: (纸本)9781467344265;9781467344258

In this paper, utilization of hybrid computational approach is evaluated for the joint estimation of amplitude and Direction of Arrival of far field sources impinging on a uniform linear array. In this hybrid approach, swarm intelligence based on Particle swarm optimization is exploited as a global optimizer assisted with pattern search technique as a rapid local search technique. the optimization of adaptive parameters depending upon the amplitudes and direction of arrival is performed using the fitness function based on Mean Square Error that defines an error between desired response and estimated response. the interest in this function is due to its ease in implementation, efficiency and simplicity of concept. It is derived from Maximum Likelihood and requires only single snapshot to converge. the proposed algorithm is robust enough to produce fairly good results even in the presence of low signal-to-Noise Ratio and requires relatively less number of antenna elements in the array. the results of hybrid technique are much better as compared to Particle Swarm Optimization and pattern search alone. A number of test cases are discussed on the basis of different number of sources impinging on the array with different number of sensors in the array. the accuracy and reliability of the proposed scheme is tested on the basis of Monte-Carlo simulations and its superior statistical analysis.

关键词： Direction of Arrival Particle Swarm optimization pattern Search Uniform Linear Array

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Openness Feeling on Height Direction in High Ceiling Room and Bending pattern of Leading Passage

Openness Feeling on Height Direction in High Ceiling Room an...

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10th international conference on Applied Human Factors and Ergonomics (AHFE) / international conference on Ergonomics in Design

作者： Sugiyama, Takuya Yoshioka, Yohsuke Chiba Univ Dept Architecture Div Creat Engn Grad Sch Sci & Engn 1-33Yayoi Cho Inage Chiba Japan Chiba Univ Grad Sch Engn 1-33Yayoi Cho Inage Chiba Japan

ISBN: (纸本)9783030202279;9783030202262

this paper investigates a psychological experiment was conducted for examine whether the openness feeling on height direction arising when entering a high ceiling room could be control by the bending pattern of leading passage. 32 college students as the participants walked around the virtual environment including the high ceiling rooms with the narrow passages. Seven experimental conditions are created by connecting six different shaped "narrow-passages" to one side of the "high ceiling room" or not connecting any approach. the result is that the ceiling height in the "high-ceiling-room" tends to adjust lower when connecting the "narrow-passage" of the upward slope than when connecting the straight "narrow-passage". It is suggested that by adding a physical movement "climbing up an oblique road" could suppress openness feeling in the high ceiling room.

关键词： Virtual reality system High ceiling room Physical exercise Openness feeling Psychological experiment

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Neural networks and fuzzy logic in clinical laboratory computing with application to integrated monitoring

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CLINICA CHIMICA ACTA 1996年第1期248卷 73-90页

作者： Guez, A Nevo, I ALBERT EINSTEIN MED CTR DEPT ANESTHESIOLPHILADELPHIAPA

We present an analysis of the computational features of neural networks and fuzzy logic architectures which attempts to explain their recent popularity as well as their drawbacks. Based upon many reports in several fields, we identify the key computational requirements in the clinical laboratory setting, and review several classical tools. In particular we make the observation that all of these needs may be viewed as a search for an appropriate mathematical mapping. We suggest that the neural networks promise as a universal function approximant is the main source of its apparent attractivity. We then describe a customized neural network architecture as a non-linear, adaptive signal processor for integrated monitoring. this architecture is employed in the Adaptive Real-Time Anesthesiologist Associate (ARTAA) system, which has been developed as a joint project at the Department of Anesthesiology, Albert Einstein Medical Center and the Electrical and Computer Engineering Department, Drexel University in Philadelphia, USA. In this application the neural network realizes a non-linear scalar map from the set of physiological signals to a vital function status (VFS) indicator. the system is now under clinical testing.

关键词： neural networks expert systems pattern recognition monitors integration smart alarms medical informatics anesthesia critical care patient monitoring

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Context modelling to support location based cooperative mobile learning

Context modelling to support location based cooperative mobi...

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2006 10th international conference on Computer Supported Cooperative Work in Design, CSCWD 2006

作者： Bin, Hu Moore, Philip Department of Computing University of Central England United Kingdom

ISBN: (纸本)1424401658

this paper presents a context model to support location based cooperative mobile learning. In the model, a standerdised context template with a context middleware has been introduced to investigate some essential issues on a suitable context pattern applicable to cooperative mobile learning. Its integration with the current elearning system in University of Central England is also included in this paper. ©2006 IEEE.

关键词： Learning systems

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Stabilizing video facial landmark detection and tracking via global and local filtering 18

Stabilizing video facial landmark detection and tracking via...

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10th international conference on Internet Multimedia computing and Service, ICIMCS 2018

作者： Guo, Xingyan Jin, Yi Li, Yidong Xing, Junliang Lang, Congyan School of Computer and Information Technology Beijing Jiaotong University Beijing China National Laboratory of Pattern Recognition Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781450365208

Video facial landmark detection and tracking are important computer vision tasks with many applications such as face anti-spoofing, animation and recognition. Most of existing facial landmark detection and tracking methods, however, often suffer from the instability issue which will affect their effectiveness in real world applications. In this work we present a novel solution for stabilized facial landmark detection and tracking in video frames. the proposed solution addresses various kinds of challenging situations and provides effective remedies to solve them. the main contribution within our solution is a novel global and local filtering strategy, which guarantees the robustness of global whole facial shape tracking and the adaptivity of local facial parts tracking. the proposed solution does not depend on specific face detection and alignment algorithms, thus can be easily deployed into existing systems. Extensive experimental evaluations and analyses on different benchmark datasets verify the effectiveness of the proposed approach. © 2018 ACM.

关键词： Face recognition

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High Performance computing for Computational Science - VECPAR 2012 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Michel Daydé Osni Marques Kengo Nakajima

ISBN: (数字)9783642387180

ISBN: (纸本)9783642387173

this book constitutes the thoroughly refereed post-conference proceedings of the 10th international conference on High Performance computing for Computational Science, VECPAR 2012, held in Kope, Japan, in July 2012. the 28 papers presented together with 7 invited talks were carefully selected during two rounds of reviewing and revision. the papers are organized in topical sections on CPU computing, applications, finite element method from various viewpoints, cloud and visualization performance, method and tools for advanced scientific computing, algorithms and data analysis, parallel iterative solvers on multicore architectures.

关键词： Algorithm Analysis and Problem Complexity System Performance and Evaluation Arithmetic and Logic Structures Numeric computing Computer Imaging, Vision, pattern recognition and Graphics

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Using pattern recognition to Predict Driver Intent

Using Pattern Recognition to Predict Driver Intent

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10th international conference on Adaptive and Natural computing Algorithms

作者： Lethaus, Firas Baumann, Martin R. K. Koester, Frank Lemmer, Karsten Institute of Transportation Systems German Aerospace Center (DLR) Germany

ISBN: (纸本)9783642202810

Advanced Driver Assistance Systems (ADAS) should correctly infer the intentions of the driver from what is implied by the incoming data available to it. Gaze behaviour has been found to be an indicator of information gathering, and therefore could be used to derive information about the driver's next planned objective in order to identify intended manoeuvres without relying solely on car data. Previous work has shown that significantly distinct gaze patterns precede each of the driving manoeuvres analysed indicating that eye movement data might be used as input to ADAS supplementing sensors, such as CAN-Bus, laser, or radar in order to recognise intended driving manoeuvres. Drivers' gaze behaviour was measured prior to and during the execution of different driving manoeuvres performed in a dynamic driving simulator. the efficacy of Artificial Neural Network models in learning to predict the occurrence of certain driving manoeuvres using both car and gaze data was investigated, which could successfully be demonstrated with real traffic data [1]. Issues considered included the amount of data prior to the manoeuvre to use, the relative difficulty of predicting different manoeuvres, and the accuracy of the models at different pre-manoeuvre times.

关键词： pattern recognition Driver Intent Driving Manoeuvres Eye Tracking Artificial Neural Networks Machine Learning Signal Detection theory ROC curves

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Vehicle Target Detection and Tracking in Complicated Scenes of Infrared Videos 10

Vehicle Target Detection and Tracking in Complicated Scenes ...

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10th international conference on Control, Automation and Information Sciences, ICCAIS 2021

作者： Chen, Changke Chen, Mingkai Yao, Ping University of Chinese Academy of Sciences Institute of Computing Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781665440295

Optical image automatic recognition is widely used in the fields of the disaster relief, public security maintenance, biological disaster prevention and medical treatment, etc. It is common to accomplish the recognition task with Hungarian Algorithm and Kalman Filter Method over objects detected by deep neural networks. However, this method has large errors under the conditions where there is camera movement, image rotation or target occlusion. this paper aims to detect the vehicle targets and obtain their coordinates from the infrared aerial video data with two stages: target detection and target tracking. In the target detection stage, YOLOv5 is used as the backbone network for model training. then, in the target tracking stage, the following methods are designed and implemented based on the Hungarian Algorithm and Kalman Filter Method. First, data enhancement is designed to solve the problem of frame rotation and disturbance. Second, the appearance matching and variance verification methods are proposed to deal with the failure in prediction of target positions caused by camera movement. third, the hidden frame temporary storage method is proposed to solve the occlusion problem, whose results are further confirmed by appearance comparison. Finally, in the output stage, the brightest point of five sample points is selected as the target point. With these methods, the missing detection and false alarm rates decrease, and the trace of the same target in the same video can be obtained even in complicated scenes. In the experiments, compared with the baseline algorithm, the missing detection rate of the proposed algorithm in the validation set is decreased by approximately 26%, and the track continuity score is improved by approximately 8.5%. Meanwhile, the size of the final prediction model is about 100MB while the results can be obtained within several seconds, which can meet the demands of real-time deployment of mobile platforms. © 2021 IEEE.

关键词： Kalman filters

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Proceedings of PDSW 2015: 10th Parallel Data Storage Workshop - Held in conjunction with SC 2015: the international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of PDSW 2015: 10th Parallel Data Storage Worksho...

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10th Parallel Data Storage Workshop, PDSW 2015

ISBN: (纸本)9781450340083

the proceedings contain 9 papers. the topics discussed include: DeltaFS: exascale file systems scale better without dedicated servers;taming the cloud object storage with MOS;experiences in using OS-level virtualization for block I/O;BAD-Check: bulk asynchronous distributed checkpointing;tackling the reproducibility problem in storage systems research with declarative experiment specifications;comparative I/O workload characterization of two leadership class storage clusters;heavy-tailed distribution of parallel I/O system response;pattern-driven parallel I/O tuning;and automatic and transparent I/O optimization with storage integrated application runtime support.

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