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Motion Analysis on dep.h Camera Data to Quantify Parkinson’s Disease Patients’ Motor Status Within the Framework of I-Prognosis Personalized Game Suite

Motion Analysis on Depth Camera Data to Quantify Parkinson’...

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IEEE International Conference on Image Processing

作者： Sofia B. Dias Athina Grammatikopoulou Nikos Grammalidis José A. Diniz Theodore Savvidis Evdokimos Konstantinidis Panagiotis Bamidis Michael Stadtschnitzer Dhaval Trivedi Lisa Klingelhoefer Zoe Katsarou Sevasti Bostantzopoulou Kosmas Dimitropoulos Leontios J. Hadjileontiadis CIPER Faculdade de Motricidade Humana Universidade de Lisboa Lisbon Portugal Centre for Research and Technology Hellas Information Technologies Institute Thessaloniki Greece Lab of Medical Physics Aristotle University of Thessaloniki (AUTH) Thessaloniki Greece Sankt Augustin Fraunhofer Institute IAIS Germany International Parkinson Excellence Research Centre King’s College Hospital NHS Foundation Trust London United Kingdom Department of Neurology Technical University Dresden Dresden Germany Third Neurological Clinic G. Papanikolaou Hospital AUTH Thessaloniki Greece Dep. of Electrical Engineering and Computer Science Khalifa University Abu Dhabi UAE

ISBN: (数字)9781728163956

ISBN: (纸本)9781728163963

The primary manifestations of Parkinson Disease (PD) concern abnormalities of movement associated with the constant deterioration of motor skills. Such motor impairment affects patients' movement accuracy and coordination, disrupting their daily life. Taking into account recent studies stating that computer-based physical therapy games can be used as a PD rehabilitation option, we propose a novel Exergame, the iPrognosis Warming up Game (http://***/), as a user-friendly tool that could both serve as a computer-based physical therapy game, as well as a means of accurately and automatically identifying the severity of PD motor symptoms. To this regard, we propose a novel deep learning methodology for motor impairment stage prediction that relies solely on human body motion data extracted from the recorded game sessions. Experimental results using a dataset of both early and advanced PD patients reveal a good classification performance of the proposed methodology, predicting the motor impairment stage of PD patients and paving the way for additional research in the field.

关键词： Cameras Parkinson's disease Games Physics Indexes Predictive models

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Controlling symmetries and clustered dynamics of complex networks

arXiv

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arXiv 2020年

作者： Gambuzza, Lucia Valentina Frasca, M. Sorrentino, F. Pecora, L.M. Boccaletti, S. Dipartimento di Ingegneria Elettrica Elettronica e Informatica University of Catania Catania95029 Italy Dipartimento di Ingegneria Elettrica Elettronica e Informatica University of Catania Catania95029 Italy CNR-IASI Institute for Systems Analysis and Computer Science A. Ruberti Rome00185 Italy Department of Mechanical Engineering Univ. of New Mexico AlbuquerqueNM87131 United States Dep. of Electrical and Computer Engineering Univ. of New Mexico AlbuquerqueNM87131 United States U.S. Naval Research Laboratory WashingtonDC20375 United States CNR Institute of Complex Systems Via Madonna del Piano 10 Florence50019 Italy Unmanned Systems Research Institute Northwestern Polytechnical University Xi’an710072 China Moscow Institute of Physics and Technology Dolgoprudny Moscow Region141701 Russia

Symmetries are an essential feature of complex networks as they regulate how the graph collective dynamics organizes into clustered states. We here show how to control network symmetries, and how to enforce patterned states of synchronization with nodes clustered in a desired way. Our approach consists of perturbing the original network connectivity, either by adding new edges or by adding/removing links together with modifying their weights. By solving suitable optimization problems, we furthermore guarantee that changes made on the existing topology are minimal. The conditions for the stability of the enforced pattern are derived for the general case, and the performance of the method is illustrated with paradigmatic examples. Our results are relevant to all the practical situations in which coordination of the networked systems into diverse groups may be desirable, such as for teams of robots, unmanned autonomous vehicles, power grids and central pattern generators. Copyright © 2020, The Authors. All rights reserved.

关键词： Complex networks

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Machine learning for QoT estimation of unseen optical network states

arXiv

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arXiv 2018年

作者： Panayiotou, Tania Savva, Giannis Shariati, Behnam Tomkos, Ioannis Ellinas, Georgios KIOS CoE Dep. of Electrical and Computer Engineering University of Cyprus Nicosia1678 Cyprus Barcelona08034 Spain Athens Information Technology MarousiAthens15125 Greece

We apply deep graph convolutional neural networks for Quality-of-Transmission estimation of unseen network states capturing, apart from other important impairments, the inter-core crosstalk that is prominent in optica... 详细信息

关键词： Fiber optic networks

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Design Monitoring Electrical Power Consumtion at computer Cluster

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Journal of Physics: Conference Series 2020年第1期1445卷

作者： Alfianto, Enggar Agustini, Siti Muharom, Syahri Rusydi, Febdian Puspitasari, Ira Department of Computer System Institut Teknologi Adhi Tama Surabaya Jl. Arief Rachman Hakim No 100 Surabaya Indonesia Electrical Engineering Department Institut Teknologi Adhi Tama Surabaya Jl. Arief Rachman Hakim No 100 Surabaya Indonesia Theoretical Physics Research Group Dep. of Physics Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115 Dep. of the information system Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115

Electricity is one of the basic needs in the era of technological development, where all equipment must use electricity to operate such as computer, so that it requires a system that can monitor power consumption at computer cluster. To monitoring power consumption using WCS1800 to current sensor and microcontroller Atmega32 to data sensor process, and serial communication to send data to display at personal computer. From test system having two result, first is power consumption at computer cluster starting, where current value range is 0 to 38A with power consumption is 0 to 8360 watt. And second is power consumtion at computer cluster execution progran, current value is 27 to 40 A, with power consumption 5940 to 8800 watt. From this system has been design, the power consumption at computer cluster can be monitored and known value of energy consumption.

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FF-CMNET: A CNN-BASED MODEL FOR FINE-GRAINED CLASSIFICATION OF CAR MODELS BASED ON FEATURE FUSION

FF-CMNET: A CNN-BASED MODEL FOR FINE-GRAINED CLASSIFICATION ...

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IEEE International Conference on Multimedia and Expo

作者： Ye Yu Qiang Jin Chang Wen Chen Dep. of Computer Science and Engineering State University of New York at Buffalo Buffalo USA School of Computer and Information Hefei University of Technology Hefei China School of Science and Engineering Chinese University of Hong Kong at Shenzhen Shenzhen China

We present in this paper a novel scheme for fine-grained car model classification based on convolutional neural network and feature fusion. This scheme is called FF-CMNET (Feature Fusion based Car Model Classification Net) and is based on the principle that the car frontal images can be partitioned into upper and lower parts that exhibit distinct feature distributions but are still structurally correlated to allow feature fusion. The characteristics of FF-CMNET include: (1) the design of two separate branches, named UpNet and DownNet, for extracting the features of upper parts and lower parts of the car frontal images separately;(2) a two-step fusion of features at the output of UpNet and DownNet and then again in FusionNet;and (3) the adoption of small convolution kernels and global average pooling. Extensive experiments conducted on a benchmark dataset, CompCars, show favorable results which demonstrate that the proposed FF-CMNET is able to outperform the state-of-the-art models in the classification of large datasets.

关键词： Fine-grained car model classification CNNs Feature fusion Feature extraction

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A Load Balancing Algorithm for Resource Allocation in IEEE 802.15.4e Networks

A Load Balancing Algorithm for Resource Allocation in IEEE 8...

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IEEE International Conference on Pervasive Computing and Communications

作者： Katina Kralevska Dimitrios J. Vergados Yuming Jiang Angelos Michalas Dep. of Information Security and Communication Technology NTNU Norwegian University of Science and Technology School of Electrical and Computer Engineering National Technical University of Athens Department of Informatics Engineering Technological Education Institute of Western Macedonia Kastoria Greece

ISBN: (纸本)9781538632284

The recently created IETF 6TiSCH working group combines the high reliability and low-energy consumption of IEEE 802.15.4e Time Slotted Channel Hopping with IPv6 for industrial Internet of Things. We propose a distributed link scheduling algorithm, called Local Voting, for 6TiSCH networks that adapts the schedule to the network conditions. The algorithm tries to equalize the link load (defined as the ratio of the queue length over the number of allocated cells) through cell reallocation. Local Voting calculates the number of cells to be added or released by the 6TiSCH Operation Sublayer (6top). Compared to a representative algorithm from the literature, Local Voting provides simultaneously high reliability and low end-to-end latency while consuming significantly less energy. Its performance has been examined and compared to On-the-fly algorithm in 6TiSCH simulator by modeling an industrial environment with 50 sensors.

关键词： Schedules IEEE 802.15 Standard Scheduling algorithms Reliability Resource management Scheduling Computational modeling management of resources Scheduling algorithms Computational modeling Link Load Resource utilization Vote INSTITUTE OF ELECTRICAL AND ELECTRONIC ENGINEERS Internet of things IPv6 Load balancing

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A Compact 9 GHz Microwave Imaging System

A Compact 9 GHz Microwave Imaging System

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IEEE International Workshop on Electromagnetics, Applications and Student Innovation (iWEM)

作者： Kang-Chun Peng Chiu-Chin Lin Cyuan-Fong Li Cheng-Yuan Hung Yu-Sung Hsieh Dep. of Computer and Communication Engineering National Kaohsiung Univ. of Science and Technology Kaohsiung Taiwan Opto-electronics Equipment Department Metal Industries Research & Development Center Kaohsiung Taiwan

This work develops a compact 9 GHz microwave imaging system. The core of the system is a vector network analyzer (VNA) which utilizes range-correlation architecture to suppress the phase noise of the received signal. To overcome the bottleneck that conventional mixer-based phase detectors have limited phase detection range, a novel quadrature phase detection algorithm is proposed. The experimental results show that the microwave imaging system can well detect the bone image of a chicken wing.

关键词： Microwave imaging Microwave oscillators Microwave antennas Microwave communication

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Field Tests of Digital Terrestrial Multimedia Broadcasting System RAVIS

Field Tests of Digital Terrestrial Multimedia Broadcasting S...

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engineering and Telecommunication (EnT-MIPT)

作者： Alexander V. Dvorkovich Viktor P. Dvorkovich Vladimir A. Irtyuga Kirill S. Mityagin MIPT -School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Moscow Russian Federation Multimedia Technology and Telecommunication Dep. Moscow Institute of Physics and Technology Moscow Russian Federation Multimedia Systems and Technology Lab. Moscow Institute of Physics and Technology Moscow Russian Federation

Field tests of digital terrestrial multimedia broadcasting system RAVIS have been held in 2017-2018 in two test zones in Russian Federation - Kazan city (Tatarstan Republic) and Izhevsk city (Udmurtia Republic). Fixed... 详细信息

ISBN: (纸本)9781728104331

关键词： Multimedia communication Receivers Radio transmitters Modulation Urban areas Digital multimedia broadcasting

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Nonlinear Quantization Method for Wavelet-Based Video Codec

Nonlinear Quantization Method for Wavelet-Based Video Codec

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engineering and Telecommunication (EnT-MIPT)

作者： Dam Trong Nam Gennady Yu. Gryzov Alexander V. Dvorkovich Viktor P. Dvorkovich Multimedia Systems and Technology Lab. Moscow Institute of Physics and Technology Moscow Russian Federation MIPT-School of Radio Engineering and Computer Technology Moscow Institute of Physics and Technology Moscow Russian Federation Multimedia Technology and Telecommunication Dep. Moscow Institute of Physics and Technology Moscow Russian Federation

ISBN: (纸本)9781728104331

This paper is dedicated to the research and development of quantization methods for wavelet-based video codec. Uniform, nonlinear quantization method and their potential applications for wavelet-based video codec Dirac have been investigated. The optimized quantization method for wavelet-based video codec have been proposed based on analysis of the processing results for various video types using quantization methods mentioned above. The processing results for various types of video show that the proposed method provides up to 4.2% bitrate saving for low distortion level in the intra-frame coding mode, up to 9.8% bitrate reduction for low distortion level and up to 11.2% bitrate saving for medium (acceptable) distortion level in the inter-frame coding mode compared to the uniform quantization method implemented in video codec Dirac.

关键词： Quantization (signal) Video codecs Wavelet transforms Distortion Bit rate Image coding

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High-Performance Computing (HPC) design to improve the quality of Introduction of Parallel Computing lectures

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IOP Conference Series: Materials Science and engineering 2019年第1期462卷

作者： E Alfianto A Sa'diyah F Rusydi I Puspitasari Dep. of Computer System Institut Teknologi Adhi Tama Surabaya Jl Arif Rachman Hakim 100 Surabaya Indonesia. 60111 Dep. of Marine Engineering Politeknik Perkapalan Negeri Surabaya Jl Jalan Teknik Kimia Kampus ITS-Sukolilo Surabaya Indonesia 60117 Theoretical Physics Research Group Dep. of Physics Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115 Dep. of the information system Fac. of Science and Technology Airlangga University Jl. Mulyorejo Surabaya Indonesia 60115

High-Performance Computing (HPC) has been created to improve the quality of Pengantar Komputasi Parallel lectures. HPC consists of two PCs with AMD Ryzen 7 processor connected by high-speed LAN. HPC is used to solve problems that students can't practice Parallel Computing because the computer used is not adequate. So it takes a machine that can used together that has many processors, so the problems encountered are resolved. The results obtained, participants can use more than four processors to solve tree problems directly.

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