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检索条件"任意字段=18th Image Processing: Algorithms and Systems Conference, IPAS 2020"

共 258 条记录，以下是61-70 订阅

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Compressed Domain Contactless Fall Incident Detection using UWB Radar Signals 18

Compressed Domain Contactless Fall Incident Detection using ...

引用

18th IEEE International New Circuits and systems conference (NEWCAS)

作者： Sadreazami, Hamidreza Mitra, Dipayan Bolic, Miodrag Rajan, Sreeraman Univ Ottawa Sch Elect Engn & Comp Sci Ottawa ON Canada Carleton Univ Dept Syst & Comp Engn Ottawa ON Canada

ISBN: (数字)9781728170442

ISBN: (纸本)9781728170442

Falling down is one of the main reasons for hospitalization among the elderly. Constant monitoring of such vulnerable older adults and timely detection of fall incidents may significantly improve healthcare services. this paper presents a radar-based fall detection method using compressed features of the radar signals. the compressed features are obtained by using determinisitc row and column sensing. the time-frequency analysis is first performed on the radar time series and resulting spectrogram is projected onto a binary image representation. the binary images are then compressed using a 2D deterministic sensing technique by preserving the aspect ratio of the images in the compressed domain. the performance of the proposed method is evaluated using several classifiers such as support vector machine, nearest neighbors, linear discriminant analysis and decision tree. It is shown that the proposed compressive sensing based method can improve fall versus non-fall activities recognition, as evidenced by high classification metrics for low compression ratios.

关键词： Smart home biomedical signal processing compressive sensing classification fall detection

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1990 ACM Eighteenth Annual Computer Science conference (CSC90)

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Cooperation 1990 ACM 18th Annual Computer Science conference Proceedings

ISBN: (纸本)0897913485

this conference proceedings contains 132 papers, 73 of them are in abstract form only. the main subjects are parallel and distributed algorithms, image processing, heuristic algorithms, software metrics and modeling, artificial intelligence applications, theoretical computer science, software testing and maintenance, parallel and distributed architectures, computer graphics and simulation, programming techniques, software tools and environments, expert systems, neural networks, and artificial intelligence and computer science education.

关键词： Computer systems, Digital

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An Algorithm for Exact Retinal Vein Extraction 18th

An Algorithm for Exact Retinal Vein Extraction

引用

18th International conference on Computer Information systems and Industrial Management

作者： Szymkowski, Maciej Najda, Dawid Saeed, Khalid Bialystok Tech Univ Fac Comp Sci Bialystok Poland

ISBN: (纸本)9783030289560;9783030289577

Recently more interest in retina-based human recognition is observable. It is connected with the fact that this biometrics trait can guarantee absolute certainty in the case of human identity. In the literature, one can easily observe that most of the algorithms are based on veins system and its pattern. A method to extract recently mentioned structure is presented in this paper. the proposed approach consists of three main parts: preprocessing, segmentation and unnecessary artifacts removal. During the research, the authors used different image processing methods for veins system extraction, especially diversified binarization algorithms and edge detection approaches were tested. In the time of the experiments the authors took into consideration not only accuracy but also proposed solution efficiency. Performed tests have shown that it is clearly possible to extract veins system with satisfactory precision and efficiency.

关键词： Biometrics Retina color images Segmentation Retinal veins image processing

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Towards Bat Bio-inspired Decision-making for Task Allocation in Vehicular Fogs 18

Towards Bat Bio-inspired Decision-making for Task Allocation...

引用

18th Annual International conference on Distributed Computing in Sensor systems (DCOSS)

作者： Quessada, Matheus S. Lieira, Douglas D. De Grande, Robson E. Meneguette, Rodolfo, I Sao Paulo State Univ UNESP Sao Jose Do Rio Preto SP Brazil Fed Inst Sao Paulo IFSP Catanduva SP Brazil Brock Univ BrockU St Catharines ON Canada Univ Sao Paulo Sao Carlos SP Brazil

ISBN: (纸本)9781665495127

Technological evolutions in intelligent transportation have enabled smart and connected vehicles to support novel safety and infotainment services. the provision of such services is guaranteed with effective sharing and allocation of resources for task offloading and processing. the use of vehicular fogs also helps this process by lowering the latency in communications and the resource share among the fog members. However, allocation in Fogs introduces challenges related to the intermittency of Fog vehicle nodes, clustering, topology changes, and resource allocation problems. the use of metaheuristic algorithms has been explored in several works to solve these optimization problems, such as resource allocation, clustering, task allocation, and network communications, especially regarding efficiency. We thus propose a bat bio-inspired decision-making algorithm for task allocation in vehicular fogs called AEGIS. AEGIS uses the cluster members and task parameters to do the decision-making process in the task allocation process that helps to choose the best vehicle of the fog to allocate a determined task. the AEGIS was compared to a GWO approach (meta-heuristic), Greedy, and Random (traditional) approaches. We considered allocated, denied, and lost tasks for the simulation criteria. AEGIS lost fewer tasks than the other algorithms and allocated more tasks than the traditional algorithms.

关键词： Intelligent Transportation systems Vehicular Fog task allocation metaheuristic bio-inspired fogs.

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NB-IoT based Visual Smart Waste Management System 18

NB-IoT based Visual Smart Waste Management System

引用

18th Baltic Electronics conference

作者： Khan, Sikandar Zulqarnain Hein, Haigo Alam, Muhammad Mahtab Le Moullec, Yannick Parand, Sven Estonian Aviat Acad Dept Aeronaut Engn Tartu Estonia Tallinn Univ Technol Thomas Johann Seebeck Dept Elect Tallinn Estonia Telia Estonia Tallinn Estonia

ISBN: (数字)9781665462952

ISBN: (纸本)9781665462952

NB-IoT technology is characterized by e.g. wide coverage, massive connectivity, reduced device energy consumption, and lower device cost, making it a suitable choice for the Internet of things (IoT) vision. With these NB-IoT provisions, this work presents an NB-IoT based visual Smart Waste Management System (SWMS) that involve the design and development of cost-effective visual smart bins with reduced complexity, low power consumption, and easy installation so as to retrofit the existing traditional bins. thanks to NB-IoT, these smart bins provide long-range connectivity to a multitude of bins so they can transmit their visual data to a remote cloud server. Since the cloud server is a compute-intensive platform, it can further process these images through utilising appropriate image processing (IP), Artificially Intelligent (AI) and Machine Learning (ML) algorithms for efficient waste-management including waste-collection, waste-classification, waste-prediction, and waste-planning.

关键词： Smart Waste Management System Smart bin NB-IoT Edge-computing image processing Cloud computing

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Simulation of image blur

Simulation of image blur

引用

Signal processing and Communications Applications conference

作者： Tokay, Mehmet Serkan Figen, Ziya Gürkan TÜBITAK UEKAE ILTAREN Turkey

ISBN: (纸本)9781424496716

In this work, a MATLAB based user interface with various computation modules which simulate the image blur using the Modulation Transfer Function (MTF) is presented. image distortion in an imaging system occurs through image blur and noise. the amount of the image blur depends on the characteristics of the optical system, sensor, post-sensor electronics;atmospheric conditions;and motion characteristics of the platform where imager is situated. In this work, image blur is simulated using MTF, especially under conditions where atmospheric degradation effects are dominant. Upon selection of an image by the user, the image blur due to components of the imaging systems and different atmospheric conditions is added to obtain a resultant image. the user can freely specify the values of parameters determining the amount of image blur. By employing synthetic image generators, this work can be used for increasing the efficiency of target detection, tracking, and image restoration algorithms. ©2010 IEEE.

关键词： Optical transfer function

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Signature image Improvement with Gradient Adaptive Morphology 18th

Signature Image Improvement with Gradient Adaptive Morpholog...

引用

18th International conference on Computer Information systems and Industrial Management

作者： Sarnacki, Kacper Adamski, Marcin Saeed, Khalid Warsaw Univ Technol Warsaw Poland Bialystok Tech Univ Bialystok Poland

ISBN: (纸本)9783030289560;9783030289577

the paper presents a method for improving signature images, by using a directional field guided morphology. the method adapts a circular or linear structural element and its orientation. there is presented the comparison of the algorithm with the results of binarization process and with the existing post-processing algorithms, such as the morphological opening, closing and median filtering. the experiments show that the authors' method significantly improves the quality of images by removing unwanted artifacts.

关键词： Signature quality improvement Gradient adaptive morphology Directional field

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Structure Preserved Graph Reordering for Fast Graph processing without the Pain 22

Structure Preserved Graph Reordering for Fast Graph Processi...

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22nd IEEE International conference on High Performance Computing and Communications, 18th IEEE International conference on Smart City and 6th IEEE International conference on Data Science and systems, HPCC-SmartCity-DSS 2020

作者： Huang, Baofu Liu, Zhidan Wu, Kaishun Shenzhen University College of Computer Science and Software Engineering China

ISBN: (纸本)9781728176499

By optimizing the data layout ahead-of-Time, graph reordering can effectively improve the memory access locality in graph processing. the reordered graphs derived by sophisticated graph reordering approaches can greatly speedup the executions of most graph algorithms, while they incur huge computation overheads. Although lightweight approaches indeed reduce the reordering costs, they cannot achieve the best speedup performances. this is because they merely operate vertices of high-degrees and inadvertently destroy the community structures hidden in the graph. In this paper, we thus propose Sorder to balance the speedup performance and the reordering overhead. Sorder achieves better locality by preserving structural properties of graphs. Specifically, it mainly exploits neighborhood relations to renumber vertices and preferentially reorders vertices of high-degree ahead of the other vertices. We further enhance the design with the hypernode concept, which gathers neighboring vertices of low-degree to form a virtual vertex. therefore, Sorder can consecutively rearrange more neighboring vertices, such that protecting the community structures. Extensive experiments with 5 representative graph algorithms and 7 real-world graphs demonstrate that Sorder can achieve comparable speedup performance as Gorder, the state-of-the-Art approach, while significantly reducing the reordering overhead. © 2020 IEEE.

关键词： Graph algorithms

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An Efficient Low Delay Task Scheduling Algorithm Based on Ant Colony System in Heterogeneous Environments 22

An Efficient Low Delay Task Scheduling Algorithm Based on An...

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作者： Yang, Pei Liu, Jing Chen, Cen Ding, Yucheng Deng, Chunhua Zeng, Zeng Wuhan University of Science and Technology College of Computer Science and Technology Wuhan China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China Institute for Infocomm Research Singapore Hunan *** Interactive Entertainment Media Co Ltd Changsha China

ISBN: (纸本)9781728176499

Low delay is an important issue in a variety of applications on heterogeneous computing platforms. A great number of algorithms including heuristics as well as metaheuristics have been designed to minimize the completion time (i.e., makespan) of applications and achieved good results. However, the demand of high performance never stops. In this paper, we propose a new and efficient Ant-Colony based Low Delay Scheduling (ACLDS) algorithm to minimize the makespan of applications which can form directed acyclic graphs and are executed on a heterogeneous system. Simulated results show that our proposed algorithm is highly efficient in reducing makespan in comparison with state-of-the-Art scheduling algorithms. For instance, the reduction ratio can be up to 15.2174% for a Fast Fourier Transform (FFT) benchmark. © 2020 IEEE.

关键词： Scheduling algorithms

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Accelerating image Encryption with AES Using GPU: A Quantitative Analysis 18th

Accelerating Image Encryption with AES Using GPU: A Quantita...

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Joint conferences on 18th International conference on Intelligent systems Design and Applications, ISDA 2018 and 10th World Congress on Nature and Biologically Inspired Computing , NaBIC 2018

作者： Saxena, Aryan Agrawal, Vatsal Chakrabarty, Rajdeepa Singh, Shubhjeet Banu, J. Saira Vellore Institute of Technology Vellore India

ISBN: (纸本)9783030166595

From military imaging to sharing private pictures, confidentiality, integrity and authentication of images play an important role in the Internet of modern world. AES is currently one of the most famous symmetric cryptographic algorithms. Performing encryption/decryption of high-resolution images with AES is highly computation-intensive and time-consuming due to their large sizes and the underlying complexity of AES algorithm. Earlier increasing cryptographic complexity meant an increase in the processing time for encryption as well as decryption. Now, with the rise of the powerful GPUs containing thousands of high-performance and efficient cores and with the evolvement of GPU computing, the processing time has been reduced to a fraction of the time it used to take earlier. this paper presents a parallel implementation of AES using NVIDIA CUDA and OpenCV to encrypt images rapidly. We achieved an average speed up of four times on GPU as compared to CPU-only. © 2020, Springer Nature Switzerland AG.

关键词： Graphics processing unit

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