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检索条件"任意字段=2014 IEEE International Conference on Progress in Informatics and Computing"

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Logistics Service Map - Work-in-progress 11

Logistics Service Map - Work-in-Progress

引用

11th ieee international conference on Services computing (SCC)

作者： Gloeckner, Michael Ludwig, Andre Univ Leipzig Inst Informat Syst D-04109 Leipzig Germany

ISBN: (纸本)9781479950669

This paper introduces the concept of the Logistics Service Map, a modular service construction system with an inherent catalog function. Specialized service providers, so called logistics integrators are to use this concept to integrate subsidiary service providers into logistics networks. The main purpose of the Service Map is to enable and to foster the development of atomic as well as composite logistics services used by the integrator to fulfill customers' requirements. After a brief presentation of the applied research methodology, the current progress of research is outlined and a draft of future research activities and discussion points is given.

关键词： Service Map Logistics Research Framework

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A pattern recognition for group abnormal behaviors based on Markov Random Fields energy 13

A pattern recognition for group abnormal behaviors based on ...

引用

13th ieee international conference on Cognitive informatics and Cognitive computing, ICCI*CC 2014

作者： Zuojin, Li Liukui, Chen Zhiyong, Ren Tirumala, Sreenivas Sremath College of Electrical and Information Engineering Chongqing University of Science and Technology Chongqing China Department of Communication Chongqing College of Electronic Engineering Chongqing China Department of Computing Faculty of Creative Industries and Business Unitec of Institute and Technology Auckland New Zealand

ISBN: (纸本)9781479960811

Group abnormal behaviors often occur abruptly under video surveillance, thus bringing serious consequences. How to recognize these behaviors correctly has always been the difficulty in research on intelligence video surveillance. This paper is based on the basic theory of Markov Random Fields to extract the features of those in video images, so as to recognize the group abnormal behaviors under video surveillance. Experiments show that this method can well reflect the real situation at the spot. © 2014 ieee.

关键词： Computationalmodeling Educationalinstitutions Featureextraction HiddenMarkovmodels Markovrandomfields Streamingmedia Videosurveillance Markovmodel abnormalbehaviors patternrecognition abnormal behavior Markov random fields video monitoring Pattern recognition

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Transforming Speech Translation: An End-to-End Transformer-LAS-CTC System for Chinese Dialects to Minor Languages 9

Transforming Speech Translation: An End-to-End Transformer-L...

引用

9th ieee international conference on progress in informatics and computing, PIC 2024

作者： Wang, Jing Fang, Wenhao College of Intelligent Manufacturing City College of Huizhou Huizhou China Hohai University Department of Computer Science and Technology Nanjing China

ISBN: (纸本)9798350363203

Speech translation involves converting spoken language from one language to text in another. However, traditional speech translation systems use a cascaded structure that has several shortcomings and defects. As global trade and economic development continue to grow, there is an increasing demand for speech translation tasks from Chinese dialects to minor languages. To tackle these issues, this paper proposes an end-to-end transformer- Las-ctcspeech translation system for converting Chinese dialects to minor language text. Traditional systems have limitations, and with globalization, there is an increasing demand for speech translation. The proposed system combines the attention mechanism with a joint LAS-CTC decoder and outperforms traditional models in convergence speed and results. It has the potential to become a useful tool for bridging language barriers and facilitating communication. © 2024 ieee.

关键词： international trade

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Task Offloading Based on Utility Optimization in Collaborative Edge computing Systems 9

Task Offloading Based on Utility Optimization in Collaborati...

引用

9th ieee international conference on progress in informatics and computing, PIC 2024

作者： Zhang, Bingxue Li, Xisheng You, Jia School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China Beijing Engineering Research Center of Industrial Spectrum Imaging Beijing China

ISBN: (纸本)9798350363203

In collaborative edge computing systems, offloading computation tasks from users to edge nodes can effectively address the issues of insufficient terminal computing capabilities and high latency, high overhead of cloud computing processing. System overhead and utility metrics are critical factors that impact operational efficiency and inform task offloading decisions. This paper proposes a new utility evaluation model and, by considering task completion time constraints and energy consumption overhead, establishes an overhead-utility balanced optimization method to address task offloading problem and enhance system operational efficiency of collaborative systems. We propose a heuristic solution based on simulated annealing and particle swarm optimization to solve the overhead-utility balanced optimization problem effectively. Through experimental simulation testing, our proposed heuristic solution can efficiently achieve the balance between low system overhead and high utility in making task offloading decisions, fully utilize system resources, and enhance operational efficiency. © 2024 ieee.

关键词： Computation offloading

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The Potential Use of Multi-Agent and Hybrid Data Mining Approaches in Social informatics for Improving E-health Services 4

The Potential Use of Multi-Agent and Hybrid Data Mining Appr...

引用

ieee Fourth international conference on Big Data and Cloud computing (BdCloud)

作者： Sharma, Dharmendra Shadabi, Fariba Univ Canberra Fac Educ Sci Technol & Math Canberra ACT 2601 Australia

ISBN: (纸本)9781479967193

Social and health informatics has the potential of improving the general wellbeing and health of individuals. Although the structure and nature of health facilities and services in some countries may pose a challenge for a short while, such obstacles according to many studies will be streamlined in the near future. The widespread utilization and implementation of healthcare information system in the day-to-day health care operations will lead to cost effective clinical trials and selfhealthcare management. On the other hand, recent rapid development of computer technology in this area has introduced a data explosion challenge. This paper provides brief background information on Social informatics and e-Health Systems. Follow by an overview of two hybrid intelligent techniques that might be utilized as a new generation of predictive analytics for big data particularly for knowledge discovery in big data and decision making processes in social systems.

关键词： Multi-agents hybrid algorithm real time analysis and data mining

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Developing Concept Enriched Models for Processing Big Data Within the Medical Domain 18

Developing Concept Enriched Models for Processing Big Data W...

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18th ieee international conference on Cognitive informatics and Cognitive computing (ICCI*CC)

作者： Gudivada, Akhil Tabrizi, Nasseh East Carolina Univ Greenville NC 27858 USA

ISBN: (纸本)9781728114194

As more and more domains are incorporating cognitive computing tools to develop models to process and understand data in a cohesive, yet effective manner, the medical domain is also seeking advancements aided by artificial intelligence. While the amount of research available to any individual increases regularly, the ability to keep up with new information becomes a challenge due to the sheer quantity of information. The use of artificial intelligence to help process large amounts of information can overcome those barriers. However, progress in this field is hindered by several challenges including: incomplete medical data sets, the confidential nature of data as it holds private information of individuals, the complexity and nuances of natural language (within medicine), and even the unwillingness of health-care providers to adopt newer techniques. Though the data may be specialized, the models and techniques designed and discussed in this paper can help provide a framework, or starting point for those interested in effectively developing, maintaining, and using these models to help improve the quality of health-care. The purpose of this paper is to serve as resource which can be used to start developing similar models and put them to use in everyday practice in the medical domain.

关键词： artificial intelligence Cognitive computing big data medical data information retrieval

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COGNITIVE computing SIMULATOR-COMPASS

COGNITIVE COMPUTING SIMULATOR-COMPASS

引用

proc 2014 inter conf contemporary comp informatics (ic3i)

作者： Varghese, Dany Shankar, Viju Jyothi Engn Coll Dept Comp Sci & Engn Trichur Kerala India

ISBN: (纸本)9781479966295

Cognitive computing is an emerging method which helps to analyse the human brain behaviour and simulate it mathematically. Cognitive computing systems learn and interact naturally with people to extend what either humans or machine could do on their own. Cognitive science consists of multiple research disciplines, including psychology, artificial intelligence, philosophy, neuroscience, linguistics, and anthropology. Cognitive computing helps autonomous systems to work as human Brain. COMPASS is a simulator which simulates the working of cognitive computing. It is fully based on the architecture TrueNorth developed by IBM. COMPASS enables to simulate brain like functions in a hardware platform[1].

关键词： Cognitive computing TrueNorth Abstract Intelligence COMPASS

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Enhanced Particle Swarm Optimization for Workflow Scheduling in Clouds 8

Enhanced Particle Swarm Optimization for Workflow Scheduling...

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ieee international conference on progress in informatics and computing (ieee PIC)

作者： Lu, Chang Feng, Dayu Zhu, Jie Huang, Haiping Nanjing Univ Posts & Telecommun Nanjing Peoples R China Jiangsu Key Lab Big Data Secur & Intelligent Proc Nanjing Peoples R China Chinese Acad Sci Inst Comp Technol State Key Lab Comp Architecture Beijing Peoples R China Jiangsu High Technol Res Key Lab Wireless Sensor Nanjing Peoples R China

ISBN: (纸本)9781665426558

As a NP-hard problem, it is always baffling to figure out a scheduling strategy to arrange the interconnected tasks of a workflow on the infinite number of resources in the cloud environment so that the workflow can be addressed efficiently and robustly. This paper focuses on scheduling the workflow's tasks on the cloud resources with less rental cost of resources while the whole schedule length (makespan) will not exceed the given deadline. As one of the most popular evolutionary algorithms, particle swarm optimization (PSO) has been successfully applied for the workflow scheduling problem. Inspired by the idea of multiple groups and the distributed parallel computing, we develop an enhanced PSO algorithm for the workflow scheduling problem in clouds. Besides, a pretreatment strategy is adopted to simplify the workflow's structure. The experimental results demonstrate that our proposal has good performance on improving the algorithm's searching ability and finding better solutions.

关键词： Workflow scheduling cloud computing particle swarm optimization multiple groups

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A cloud-based experiment platform for computer-based education 14

A cloud-based experiment platform for computer-based educati...

引用

ieee/ACM 7th international conference on Utility and Cloud computing (UCC)

作者： Liu, Yu Li, Bo Niu, Jianwei Cao, Qinghua Beihang Univ Sch Engn & Comp Sci Beijing 100191 Peoples R China

ISBN: (纸本)9781479978816

The computer-based education is the most popular teaching method in universities. Maintaining an all-purpose experiment environment based on physical computers is hard because different courses need different environments. Meanwhile, hardware-related experiment is suffering from the restriction of equipment location. This paper presents a work in progress on the development of a cloud-based experiment platform. We customize an IaaS cloud for the experiment context and propose solutions for software-based experiment and hardware-related simulation respectively. For a prototype system, the virtualization efficiency and user experience are discussed. In contrast with the traditional experiment environment, the cloud-based approach is more extensible for software-based experiments and it can extend the applicable scope of laboratory equipments.

关键词： computer-based education cloud computing virtualization experiment platform

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Effective knowledge sharing based on symbiotic computing and its application to networked cooperative works

Effective knowledge sharing based on symbiotic computing and...

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6th ieee international conference on Cognitive informatics (ICCI 2007)

作者： Suganuma, Takuo Miyamoto, Toshimitsu Makishi, Jun Kitagata, Gen Shiratori, Norio Tohoku Univ Res Inst Elect Commun Grad Sch Informat Sci Sendai Miyagi 980 Japan

ISBN: (纸本)9781424413270

We propose a new knowledge sharing scheme to effectively support networked cooperative works in this paper. Our scheme controls information flow from Real Space (RS) to Digital Space (DS) and reverse direction, based on the concept of "Symbiotic computing". In practice, our scheme controls the availability of shared workspace in DS for cooperative works, according to the situation of tasks and users in RS, in order to accelerate the progress of the works. Using this scheme, advanced support to improve quality of intellectual cooperative works can be realized. In this paper, we apply our proposed scheme to a group learning domain. This is an educational activity domain where group members, including a teacher and several students cooperatively solve given problems. From experimental results, we found that the cooperative problem solving by the teacher and students were accelerated. We also confirmed that the learning outcomes were improved. Finally, we verified that our system can enhance the group learning effects by controlling the availability of the shared workspace based on the progress of the group learning process.

关键词： Students

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