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International Conference on Broadband, Wireless Computing, Communication and Applications

作者： Kang, Huan-Yao Chang, Ching-Lung Dep. of Computer Science and Info. Engineering National Yunlin University of Science and Technology Taiwan

ISBN: (纸本)9780769542362

Following with the advancements in digitization technology and broadband communication technology, real-time video streaming service has become an essential one for next generation Internet. When transmitting compressed video across the Internet, however, one of the main challenges is packet error/loss. High coding dep.ndencies among video frames suffer from vulnerability to packet loss, which impacts the playback quality of video streaming. Losing an frame importance may cause a set of frames loss or damage as well. In this paper, we propose an effective important frame decision scheme in which the playback quality is considered. The results of this paper can be applied to the unequal frame protection scheme which targets to improve the video playback quality with minimal frame protection overhead. © 2010 IEEE.

关键词： Video streaming

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Network Management Temporal Database System Based on XTACACS Protocol

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计算机工程 2002年第S1期28卷 82-85页

作者： MIN Huaqing (dep. of computer science and Engineering, South China University of technology,Guangzhou 510641,China,hqmin@*** ) Dep. of Computer Science and Engineering South China University of Technology Guangzhou 510641China hqmin @***. cn

This paper first analyzes the basic concepts of Cisco router user certification, XTACACS certification protocol and describes the data architecture of user data protocol, then defines a kind of doubly temporal databases and log-in transaction processing based on network management property, at last, introduces implementation technology and method.

关键词： XTACACS protocolNetwork system architectureTemporal databaseTransaction processing

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Calculation and analysis of urban compactness using an integrated ARCGIS tool

Calculation and analysis of urban compactness using an integ...

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2011 International Conference on Future Wireless Networks and Information Systems, ICFWI 2011

作者： Chen, Min Liu, Suxia Yao, Liang Dep. of Computer Science and Technology East China Normal University Shanghai 200241 China

ISBN: (纸本)9783642273254

The form of compact city as an "urban form of sustainable development" is paid more and more attention. This paper proposes several systems of indicators based on the understanding of the connotation of compact city, including population density, land use, characteristics of road network, accessibility, residential density. It also analyzes the corresponding calculation methods. The authors develop an integrated ARCGIS tool, Compactness, built as an extension to the desktop ARCGIS software package, ARCMAP. Undertaking the study of a simulated city- NanLing City with use of the tool of Compactness analyzes the degree of urban compactness in the years of 2000 and 2005. In the end the paper concludes and prospects the measuring methods and the tool of Compactness with a discussion of the future development of urban compactness. © Springer-Verlag 2012.

关键词： Land use

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Real-Time Audio Analysis for Detection of Apnea Intervals in Health-Care System 10

Real-Time Audio Analysis for Detection of Apnea Intervals in...

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10th International Conference on Signal Processing and Intelligent Systems, ICSPIS 2024

作者： Vahdani, Alireza Rahmati, Mahdieh Sharifi, Mehdi Ghatee, Mehdi Amirkabir University of Technology Iran Dep. Of Math. And Computer Science Tehran Iran

ISBN: (纸本)9798331532543

Accurate detection of respiratory pauses is crucial in patients undergoing cataract surgery under sedation, as undetected pauses can lead to serious complications. Conventional monitoring techniques, such as pulse oximetry and capnography, often fail to detect respiratory pauses in a timely manner, limiting their effectiveness in high-stakes clinical settings. To address this gap, we propose an automated method leveraging tracheal sound analysis using a deep learning model based on ResNet18. Our approach incorporates signal processing techniques, noise reduction, Mel-spectrogram extraction, and data augmentation, to optimize the model's performance. The model was evaluated using multiple performance metrics, including AUC of the precision-recall curve, F1 score, etc. It achieved an AUC of 92.5% and an F1 score of 89% for the apnea class, demonstrating the system's potential for precise, real-time respiratory monitoring in clinical environments. © 2024 IEEE.

关键词： Image coding

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Controller Chip Design of Serial-Parallel-Switched-Capacitor Coupled-Inductor Boost DC-AC Inverter 3

Controller Chip Design of Serial-Parallel-Switched-Capacitor...

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3rd International Conference on Power and Energy Applications, ICPEA 2020

作者： Chang, Yuen-Haw Li, Zheng-Bin Chaoyang University of Technology Dep. of Computer Science and Information Engineering Wufong Taichung Taiwan

ISBN: (纸本)9781728190297

This work is focused on the controller chip design/implementation of serial-parallel-switched-capacitor coupled-inductor (SPSCCI) inverter applied to high-gain boost DC-AC conversion. The controlled plant is its power part made up of SPSCCI booster and DC-link inverter to perform a practical DC-AC conversion from 12V to 110VRMS, 60Hz. Here, for achieving this goal, the controller is its control part constructed by sinusoidal pulse-width-modulation (SPWM) compensator plus phase generator, and then is implemented under Cadence full-custom design through pre-layout simulation (PRE-SIM) and post-layout simulation (POST-SIM) on a fabricated chip of integrated circuit: no. D35-105B-E0008, TSMC $0.35\mu \mathrm{m}$ 2P4M, $1500\times 1500\mu \mathrm{m}^{2}$, 5.0V, 2.68mW, max frequency 200kHz. Finally, with the help of this controller chip, a closed-loop prototype circuit of this SPSCCI can be realized and verified experimentally for some test cases of DC-AC to validate the feasibility of this inverter. © 2020 IEEE.

关键词： Pulse width modulation

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Image resizing based on self-adapting significant map

Image resizing based on self-adapting significant map

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2011 International Conference on Applied Informatics and Communication, ICAIC 2011

作者： Fenghui, Niu Haisheng, Li Dep. of Computer Science and Technology East China Normal University 200241 Shanghai China

ISBN: (纸本)9783642232138

The image resizing methods are roughly categoriz-ed into two classes: simple scaling method and content aware resizing. The former is trivial, while the later is able to preserve visually prominent features in the resized image. The measure approach of visual saliency plays an important role in the content aware resizing method. This paper introduces a new saliency measure, self-adapting significant map, which characterizes the prominent features using gradient, saliency map and resizing ratio. Owing to taking resizing ratio into consideration, our computation approach automatically smoothes the significant map when the resizing is highly non-homogenous. Based on this computation approach, we propose a new content-based resizing method, which can reasonably preserve the important and less-important regions according to the resizing ratio. Experimental results show that our method outperforms the similar resizing method when the resizing ratio is bigger. © 2011 Springer-Verlag.

关键词： Artificial intelligence

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The soundness and completeness proof of agent intention in AgentSpeak 07

The soundness and completeness proof of agent intention in A...

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IEEE/WIC/ACM International Conference on Web Intelligence, WI 2007

作者： Yang, Bo Qin, Zheng Yu, Fan Qin, Jun Dep. of Computer Science and Technology Xi'an Jiaotong University Dep. of Computer Science and Technology Xi'an Jiaotong University Tsinghua University Key Lab. for ISS Software School Tsinghua University Manchester Business School

ISBN: (纸本)0769530265

Autonomy is one of the characteristics that agent has which distinguish agent systems from the other conceptualisations within computer science. To prove the validity of intention execution in AgentSpeak, according to the agent's goal, we construct a model-theoretic semantics of AgentS-peak and an informal interpretation of agent program. Then we give an equivalence theorem of intention execution for AgentSpeak that the sequence of actions produced by an agent written in AgentSpeak is equivalent with the intention produced by the model that satisfies the belief set and plan set of agent. © 2007 IEEE.

关键词： Semantics

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A Low-Cost Buoy System with Artificial Intelligence (AI) for Offshore Aquaculture

A Low-Cost Buoy System with Artificial Intelligence (AI) for...

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2021 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2021

作者： Lu, Hoang-Yang Cheng, Chih-Yung Cheng, Shyi-Chyi Lo, Wen-Chen Cheng, Yu-Hao Nan, Fan-Hua Chang, Shun-Hsyun National Taiwan Ocean University Taiwan National Kaohsiung University of Science. and Technology Taiwan Dep. of Electrical Eng. Dep. of Computer Sci. and Eng. Dep. of Aquaculture Dep. of Microelectronics Eng Taiwan

ISBN: (纸本)9781665419512

Since ocean resources are rapidly dep.eted in the recent decade, the complementary role of aquaculture has become more important than before. Further, determining the quality and success of aquaculture, the key factor is the quality of water. Hence, monitoring the quality of water is a vital work for aquaculture. To this end, in this paper we propose a low-cost and easy-to-build artificial intelligence (AI) buoy system. The proposed buoy system autonomously measures the relevant water quality data and then instantly forwards them via wireless channel to the shore server. In particular, the data not only provides aquaculture staffs with real-time information about the current water quality, but also assists server-side programs to implement AI learning and training to provide prediction for the short term changes of water quality. In addition, to achieve the goal of low-cost design, simple electronic devices and server-side AI programs are combined in the proposed buoy system to facilitate the measurement of water velocity. © 2021 IEEE.

关键词： Aquaculture

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Logistic Regression Classification for Assessing the Risk of Kidney Tumor 2

Logistic Regression Classification for Assessing the Risk of...

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2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence, EICEEAI 2023

作者： Alzubi, Dalia Al Mamlook, Rabia Emhamed Nasayreh, Ahmad Aljaidi, Mohammad Alazab, Rami Gharaibeh, Hasan Al-Naamneh, Qais Concordia University Dep. Information and Systems Engineering Montreal Canada Trine University Dep. of Business Administration IN United States University Zawia Department of Industrial Engineering Tripoli Libya Yarmouk University Dep. Computer Science Irbid Jordan Zarqa University Dep. of Computer Science Zarqa Jordan Jordan University of Science and Technology Dep. Surgery and Urology Irbid Jordan Applied Science Private University Dep. of Cyber Security Amman Jordan

ISBN: (纸本)9798350373363

The kidneys have the important function of filtering waste products and toxins from the blood in the human body. Any problems affecting the kidneys can potentially impact their efficiency and overall function. Kidney Tumor (KT) is a disease that specifically affects kidney cells and causes the abnormal growth of tissue in one or both kidneys. Assessing the risk of developing a kidney tumor and identifying the key factors that contribute to this risk are crucial for ensuring patient well-being. Additionally, this information assists doctors and specialists in making faster and more accurate diagnoses, determining appropriate treatment methods, and potentially influencing the course of the disease to minimize its severity and impact. Machine learning algorithms have recently been introduced to evaluate disease risks, and in this study, we specifically focus on examining the risk of kidney tumor development and investigating the influencing factors. We employed a logistic regression model to predict if a patient is at risk of developing a kidney tumor or not, and further categorized the samples into high-risk and low-risk groups. Our model was trained and tested using a unique dataset obtained from the (KAUH) hospital in Jordan, consisting of well-balanced metadata from 120 patients with kidney issues. Our work demonstrated accuracy results ranging from 90% to 98%. Ultimately, specialists can utilize our model as an additional tool to enhance the speed and accuracy of patient diagnoses © 2023 IEEE.

关键词： Tumors

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Effective speech emotion recognition using deep learning approaches for Algerian dialect

Effective speech emotion recognition using deep learning app...

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2021 International Conference of Women in Data science at Taif University, WiDSTaif 2021

作者： Yahia Cherif, Raoudha Moussaoui, Abdelouahab Frahta, Nabila Berrimi, Mohamed Dep. of Computer Science University of Ferhat Abbes Setif I Setif Algeria Dep. of Technology University of Ferhat Abbes Setif I Setif Algeria

ISBN: (纸本)9781665449489

Speech Emotion Recognition is an active research problem in the field of deep learning. Where the goal is to detect different emotions within audio speech using deep artificial neural networks. In this work, we focus on speech emotion recognition in the Algerian dialect. The paper introduces a new large Algerian speech emotion dataset collected from different Algerian TV shows. The audio signals were manually annotated as happy, angry, neutral, or sad. After the data collection, we applied several classification methods such as machine learning-based models, convolutional neural networks (CNNs), Long Short Term Memory (LSTM) networks, and Bidirectional LSTM (BLSTM). After applying the proposed models on our dataset, the best classification accuracy is 93.34% achieved by the LSTM-CNN model. © 2021 IEEE.

关键词： Long short-term memory

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