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Chinese Temporal Expression Recognition Combining Rules with a Statistical Model 15th

Chinese Temporal Expression Recognition Combining Rules with...

引用

15th international conference on intelligent computing, ICIC 2019

作者： Huang, Mengmeng Xia, Jiazhu Bao, Xianyu Wu, Gongqing School of Computer Science and Information Engineering Hefei University of Technology Hefei230601 China Shenzhen Academy of Inspection and Quarantine Shenzhen518045 China

ISBN: (纸本)9783030267650

Traditional rule-based methods for recognizing Chinese temporal expressions present a lower recall rate and they cannot recognize the event-type Chinese temporal expressions, thus, we propose a new Chinese temporal expression recognition method through combining rules with a statistical model. Firstly, we divide Chinese temporal expressions into seven categories and use basic time units as the smallest unit of recognition to simplify the complexity of rule-making. then, we use regular rules to recognize Chinese temporal expressions and label the training data automatically. Meanwhile, we label the event-type temporal expressions that rule-based method cannot recognize. Lastly, we use the labeled training data to learn a Conditional Random Fields model for Chinese temporal expression recognition. Experimental results show that our proposed method significantly reduces the amount of annotation work and effectively improves the recognition performance. the F1 value reaches 88.73%, which is higher than the rule-based method by 6.13%. © 2019, Springer Nature Switzerland AG.

关键词： Semantics

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Cooperation with Disagreement Correction in the Presence of Communication Failures(Extended Abstract)

Cooperation with Disagreement Correction in the Presence of ...

引用

17th international IEEE conference on intelligent Transportation Systems & the Asia-Pacific Council on Systems Engineering conference 2014

作者： Oscar Morales-Ponce Elad M.Schiller Paolo Falcone Computer Science and Engineering.Chalmers University of Technology GteborgSweden Signals and Systems.Chalmers University of Technology GteborgSweden

Vehicle-to-vehicle communication is a fundamental requirement in cooperative vehicular systems to achieve high performance while keeping high safety *** periodically exchange critical information with nearby vehicles to determine their maneuvers according to the information quality and established ***,wireless communication is prone to ***,participants can be unaware that other participants have not received the information on time resulting in conflicting trajectories that may not be *** present a deterministic solution that allows all participants to use a default strategy when other participants have not received on time the complete *** base our solution on a timed distributed protocol that adapts its output according to the effect of message omission failures so that the disagreement period occurs for no longer than a constant time(of the order of milliseconds) that only depends on the message *** formally show the correctness and perform experiments to corroborate its *** explain how the proposed solution can be used on vehicular platooning to attain high performance and still guarantee high safety standards despite communication *** believe that this work can facilitate the implementation of cooperative driving systems that have to deal with inherent(communication) uncertainties.

关键词： Extended Abstract Cooperation with Disagreement Correction in the Presence of Communication Failures

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Optimizing Context Caching Using a Novel Hybrid Strategy for Dynamically Monitoring Access Probability

Optimizing Context Caching Using a Novel Hybrid Strategy for...

引用

IEEE international conference on Cloud computing, CLOUD

作者： Ashish Manchanda Prem Prakash Jayaraman Abhik Banerjee Arkady Zaslavsky School of Software and Electrical Engineering Swinburne University of Technology Hawthorn VIC Australia School of Information Technology Deakin University Burwood VIC Australia

ISBN: (数字)9798350368536

ISBN: (纸本)9798350368543

the Internet of things (loT) ecosystem is rapidly evolving, offering unprecedented opportunities to address complex challenges in various sectors, including mobile services through intelligent decision-making and actuation. Central to the functionality of context-aware IoT applications in mobile environments is the ability to access and utilize context in-formation in a timely manner, a task facilitated by Context Management Platforms (CMPs) a cloud based system. this paper introduces “CAPME” (Context Access Probability Monitoring Engine), a novel hybrid strategy designed to optimize the caching of context information in CMPs. We introduce Probability of Access (PoA) as a key metric to ensure that context information critical for real-time decisions and actuations by mobile IoT applications are readily available. CAPME integrates Multi-Attribute Utility theory (MAUT) with a Deep Q-Network (DQN) reinforcement learning algorithm, offering a dynamic system that precisely assesses the utility of various context attributes. this hybrid algorithm considers factors such as usage frequency, cost, timeliness, context freshness, and quality of context, enabling adaptive prioritization that aligns with the ever-changing de-mands of mobile IoT environments and applications. through a comprehensive experimental evaluation utilizing data obtained from a real-world mobile IoT applications we showcase the capability of CAPME to significantly improve the performance of context caching. Results indicate marked enhancements in cache hit rates, reduced response times/latency, and lower operational costs, demonstrating CAPME's effectiveness over conventional caching methods used to support context-aware IoT applications in mobile environments.

关键词： Cloud computing Time-frequency analysis Costs Heuristic algorithms Utility theory Reinforcement learning Real-time systems

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Mechanism for Optimizing Resource Allocation in VANETs Based on the PSO Bio-inspired Algorithm

Mechanism for Optimizing Resource Allocation in VANETs Based...

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international conference on distributed computing in Sensor Systems (DCOSS)

作者： Douglas D. Lieira Matheus S. Quessada André L. Cristiani Robson E. De Grande Rodolfo I. Meneguette Sao Paulo State University SP Brazil Federal Institute of São Paulo (IFSP) SP Brazil Brock University (BrockU) St. Catharines Canada Federal University of São Carlos (UFSCar) SP Brazil University of São Paulo (USP) SP Brazil

ISBN: (数字)9781665495127

ISBN: (纸本)9781665495134

With the increase of vehicles in cities and the technology used by these vehicles, there is also a need to use the technology made available by intelligent transport systems in an efficient and agile way. Edge computing services assist in the agile process of exchanging and sharing information and resources between vehicles. However, the limitations of edge services bring the need to optimize resource allocation processes. thus, in this article we propose the MARIA, a mechanism for optimizing computational resources in Vehicular Ad Hoc Networks based on the particle swarm optimization bio-inspired algorithm. the ease of adaptation to various scenarios by a bio-inspired algorithm is presented in the work. In addition, the MARIA mechanism proved to be efficient when compared with techniques frequently used in the literature and was able to increase the amount of services accepted and reduced the amount of refused services.

关键词： Smart cities Computational modeling Biological system modeling Vehicular ad hoc networks distributed databases Sensor systems Data models

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A Physics and Data-Driven Hybrid PINNs intelligent computing Method for Nuclear Engineering Simulation

A Physics and Data-Driven Hybrid PINNs Intelligent Computing...

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Electronic Information Engineering and Computer Science (EIECS), 2021 international conference on

作者： Yufei Xie Wenlin Wang Guohua Wu Yang Yu Ping An Zibin Sun Haichuan Zhang Shengfeng Luo Yue Li School of Automation Wuhan University of Technology Wuhan China Sino-German College of Intelligent Manufacturing Shenzhen Technology University Shenzhen China Nuclear Power Institute of China Chengdu China National Key Laboratory of Parallel and Distributed Computing National University of Defense Technology Changsha China

ISBN: (数字)9798331531409

ISBN: (纸本)9798331531416

In the field of nuclear energy, the Loss of Coolant Accident (LOCA) is recognized as one of the most severe types of nuclear reactor accidents, characterized by its complex physical processes and potentially catastrophic consequences. these challenges impose stringent requirements on safety analysis and emergency response. Accurate prediction and analysis of fluid behavior within pipelines under LOCA conditions are critical for evaluating accident outcomes and formulating response strategies. this paper introduces an innovative intelligent computing approach—a Physics-Informed Neural Networks (PINNs) model driven by both physical data and simulation data, specifically tailored for LOCA conditions. To address the challenges posed by multivariable and complex physical relationships, the six-equation two-fluid model is first simplified to represent the physical processes. Subsequently, a dual-driven PINNs network is developed, integrating both simulation data and physical constraints. the proposed model demonstrates a root mean square error (RMSE) of 0.02, a mean absolute error (MAE) of 0.044, and an R2 of 0.81 in predicting the outcomes under the six-equation model.

关键词： Solid modeling Accuracy Fluids Nuclear energy Computational modeling Pipelines Neural networks Predictive models Numerical models Accidents

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intelligent Monitoring Scheduling in Wireless Sensor Networks

Intelligent Monitoring Scheduling in Wireless Sensor Network...

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the 4th international conference on Wireless Communications, Networking and Mobile computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

作者： Rong gang Bai Yu gui Qu Bao hua Zhao Zhi ting Lin Chun ming Yang Department of Electronic Engineering and Information Science University of Science and Technology of China Hefei AnHui China

this paper describes a dynamic distributed monitoring scheduling algorithm (SOMSA) for sensor networks based on artificial neural-networks self-organizing maps algorithm. During the training, the stable sensor nodes compete and cooperate with their neighbors to study the input patterns of the environment and update their internal prototype vectors using only local sensing and interactions. the adjustment stops gradually if the environment is changeless or gradually changed. In the end, the networks monitoring patterns will reflect the feature of the environment. Simulation indicates that this is a valid methodology, being especially promising for energy saving with limited resources.

关键词： dynamic monitoring self-organizing maps algorithm wireless sensor network

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TCP variants for internet of things: a survey

TCP variants for internet of things: a survey

引用

4th international conference on distributed Sensing and intelligent Systems (ICDSIS 2023)

作者： Y. Mansour H. Alfalasi S. Abbas M. A. Talib Department of Computer Science College of Computing and Informatics University of Sharjah UAE

ISBN: (数字)9781837240258

Due to its broad usage and predominance, TCP (Transmission Control Protocol) serves as the core of all Internet traffic. TCP is widely used because of its reliable connection-oriented architecture and capacity to manage congestion using different congestion control algorithms across a range of network loads and circumstances. the three phases of these congestion control algorithms-Slow Start, Congestion Avoidance, and Congestion Detection (Fast Recovery and Fast Retransmit)-are generally how they work. However, different TCP variants, such as Reno, New Reno, Tahoe, and more recent versions like FAST TCP, Cubic TCP, and Elastic TCP, implement these phases quite differently. Ever since these protocols were developed, the Internet environment has changed significantly, and they now have to deal with diverse set of challenges like high bandwidth demand problem and the requirement of fairness among various TCP flows. In this paper, we will review the most recent literature considering TCP variants for Internet of things (IoT). Furthermore, we will analyze these techniques based on various factors, such as technology used, evaluation methodology and metrics, nodes type and mobility.

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2003 IEEE international conference on Industrial technology (IEEE Cat. No.03th8685)

2003 IEEE International Conference on Industrial Technology ...

引用

IEEE international conference on Industrial technology (ICIT)

the following topics are dealt with: neural networks; learning; haptics; RFID; wireless sensing; embedded system; integrated circuit technology; fuzzy logic; artificial intelligence; evolutionary computing; sensoring, inspection and detection; mechatronic control algorithms; mechatronic devices; intelligent system; mobile robots; signal processing estimation; signal processing analysis; sliding mode control; robust control; adaptive control; signal processing measurement; signal processing identification; flexible manufacturing system; computer networks applications; industrial applications; power electronics; motor drives control; induction motor control; nonlinear control; PWM; teleoperation; medical robotics; SPICE; multitechnological systems; advanced motion control; chaotic dynamics; process automation; image compression; image analysis; automatic guided vehicle; industrial telecommunication; industrial automation; industrial control; distributed management in industry; active power factor correction; electric vehicle; alternative electric energy; and power conversion technologies.

关键词： Neural networks Learning systems Integrated circuit fabrication Fuzzy logic Mechatronics Mobile robots Variable structure systems Robustness Adaptive control Flexible manufacturing systems Power electronics Induction motors Nonlinear systems Motion control Industrial control Reactive power control Road vehicle electric propulsion Data compression Image coding SPICE Computer networks Power conversion Manufacturing automation software

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Design and Implementation of an Integrated Fault-Supervising System for Large HPCs

Design and Implementation of an Integrated Fault-Supervising...

引用

the 9th international conference for Young Computer Scientists(第九届国际青年计算机大会)

作者： Chunsheng Qi Xiao Zheng Biying Kuang Wei Zhou Jiangnan Institute of Computing Technology Wuxi Jiangsu Province China

Faults and failures are the biggest obstacles that limit high-performance computing systems (HPCs) to exert their functions and performance. To minimize or dispel their influences, the HPCs must be supervised to obtain correlative information in time, according to which effective actions could be taken as soon as possible. To probe into this solution, an integrated fault-supervising system (IFS) designed for a large HPC system is presented in this paper, with large numbers of distributed sensors and intelligent control units to acquire fault information rapidly. Furthermore, it has the ability of automatic emergency processing in certain circumstances according to the acquired information, and it supports both local and remote management with convenient and visual interfaces. Up to now, the supervising system has been acting well for a few years and helps the target system reach over 90% availability, which indicates in a degree that the design is successful and the supervising system deserves further research and could have a bright future in wider range of application.

关键词： Availability Large-scale systems Power supplies Temperature Remote monitoring High performance computing Maintenance Power system reliability Computers Cooling

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SmartSociety -- A Platform for Collaborative People-Machine Computation

SmartSociety -- A Platform for Collaborative People-Machine ...

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IEEE international conference on Service-Oriented computing and Applications (SOCA)

作者： Ognjen Scekic Daniele Miorandi Tommaso Schiavinotto Dimitrios I. Diochnos Alethia Hume Ronald Chenu-Abente Hong-Linh Truong Michael Rovatsos Iacopo Carreras Schahram Dustdar Fausto Giunchiglia Distributed Systems Group TU Wien Austria U-Hopper Trento Italy Centre for Intelligent Systems and their Applications University of Edinburgh UK Department of Information and Communication Technology University of Trento Italy

Society is moving towards a socio-technical ecosystem in which physical and virtual dimensions of life are intertwined and where people interactions ever more take place with or are mediated by machines. Hybrid Diversity-aware Collective Adaptive Systems (HDA-CAS) is a new generation of socio-technical systems where humans and machines synergetically complement each other and operate collectively to achieve their goals. HDA-CAS introduce the fundamental properties of hybridity and collectiveness, hiding from the users the complexities associated with managing the collaboration and coordination of machine and human computing elements. In this paper we present an HDA-CAS system called Smart Society, supporting computations with hybrid human/machine collectives. We describe the platform's architecture and functionality, validate it on two real-world scenarios involving human and machine elements and present a performance evaluation.

关键词： Collaboration Context Computer architecture Electronic mail Software Privacy Programming

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