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Zhejiang University of Technology, China

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7 Papers

Data Mining Analysis of Turn around Time Variation in a Semiconductor Manufacturing Line

Topics: Data Mining and Business Analytics; Industrial Engineering

Authors: Il-Gyo Chong ¹ , Chenbo Zhu ² and Yanfeng Wu ³

Affiliations: ¹ Samsung Electronics, Korea, Republic of , ² Zhejiang University of Technology, China , ³ Fudan University, China

Digital Object Identifier: 10.5220/0005253301850189

Proceedings of ICORES 2015, ISBN: 978-989-758-075-8

Quick Abstract

Variation reduction of Turn Around Time (TAT) in a manufacturing line is one of the important issues for line optimization. In a manufacturing line with many sequential process steps such as semiconductor fabrication, it is not easy to find the root causes of the TAT variation because (1) there might be a big time gap (more than 30 days) between cause and effect, and (2) there are so many machines (or tools) related with a process. The purpose of this paper is to propose a data mining based method to identify the root cause of TAT variation. We also aim to validate the performance of the proposed method through a simulation study.

Related Ontology Subjects/Areas/Topics (4)

Data Mining and Business Analytics		Methodologies and Technologies		Operational Research
Industrial Engineering

Academic Frontier-based Approach Based on Constructivism

Topic: Educating the Educators

Authors: Nuo Liu ¹ , Shengli Yang ² , Bing Feng ³ and Liangyin Chen ⁴

Affiliations: ¹ University of Electronic Science and Technology of China, China , ² Zhejiang University of technology, China , ³ University of electronic science and technology of China, China , ⁴ Sichuan University, China

Digital Object Identifier: 10.5220/0004956502980300

Proceedings of CSEDU 2014, ISBN: 978-989-758-021-5

Quick Abstract

For the purpose of combination of the basic and academic frontier knowledge by the application of the theory of constructivist learning in order to trace the rapid development of microelectronics, Academic frontier-based approach (AFA) is presented. The learner-centered instructional approach is valuable for promoting active learning by involving learners in learning academic frontier topics in an open-ended and collaborative environment. The design and implementation enrich the teaching modes and the content of the key curriculums in depth. It is effective in achieving positive and higher cognitive goals.

Related Ontology Subjects/Areas/Topics (3)

Computer-Supported Education

Educating the Educators

Learning/Teaching Methodologies and Assessment

The Values on Academic Frontier-based Approach’ Implementation

Topics: Collaborative Learning; Community Building

Authors: Nuo Liu ¹ , Shengli Yang ² and Ziyong Liu ³

Affiliations: ¹ University of Electronic Science and Technology of China, China , ² Zhejiang University of Technology, China , ³ Worcester Polytechnic Institute, United States

Digital Object Identifier: 10.5220/0004978901350139

Proceedings of CSEDU 2014, ISBN: 978-989-758-022-2

Quick Abstract

Academic Frontier-based Approach (AFA) is a student-centred instructional approach used to promote active and deep learning by involving students in investigating academic frontier issues in a collaborative environment. In this paper, we discuss the student surveys conducted at the end of the study period to solicit feedback from students on their learning experience. It is suggested that AFA takes the students as the center, consolidates the academic knowledge of the students. Through the teamwork and autonomous learning, students know more about the frontiers of science and technology and open their horizon. In addition, the ability of language organization, speech, compressive resistance, communication and cooperation are all increased. Furthermore, students’ interest in studying is increased because of the autonomous learning. It is expected the popularization of the consecutive courses will certainly improve these important abilities further more. And it is hopeful that students will take advantage from the sustainable ability of autonomous learning in their future career life.

Related Ontology Subjects/Areas/Topics (4)

Collaborative Learning		Computer-Supported Education		Social Context and Learning Environments
Community Building

RESEARCH ON COMPONENT COMPOSITION BASED ON FEATURE MODEL

Topics: Software Engineering; Ontology Engineering; Model Driven Architectures and Engineering

Authors: Lirong Xiong ¹ , Zibin Niu ² and Jing Fan ²

Affiliations: ¹ College of Computer Science and Technology, Zhejiang University, College of Computer Science and Technology and Zhejiang University of Technology, China , ² College of Computer Science and Technology and Zhejiang University of Technology, China

Digital Object Identifier: 10.5220/0003484302140222

Proceedings of ICEIS 2011, ISBN: 978-989-8425-55-3

Quick Abstract

Traditional component description methods lack sufficient semantic information. It is difficult for users to find suitable components to match their requirements. And it is also difficult in doing automatic composition and verification of components. Furthermore, the component trustworthiness is an important factor that must be considered during component composition process. Feature-Oriented Domain Analysis (FODA) that uses features and relations between features to describe the problem domain can provide necessary supports to component composition. This paper focuses on component functional semantics and component trustworthiness. A feature meta-model is proposed to provide sufficient semantic information, and trustworthiness is taken into account in the feature meta-model. Based on feature meta-model, it presents the component composition algorithm. Finally, an application of the approach in the credit evaluation domain is presented.

Related Ontology Subjects/Areas/Topics (11)

Artificial Intelligence	Knowledge Engineering and Ontology Development	Ontology Engineering
Data Engineering	Knowledge-Based Systems	Software Engineering
Enterprise Information Systems	Model Driven Architectures and Engineering	Symbolic Systems
Information Systems Analysis and Specification	Ontologies and the Semantic Web

KNOWLEDGE REPRESENTATION AND REASONING FOR AIR-NAILER COLOR CONFIGURATION BASED ON HSV SPACE

Topics: Public Sector Applications of E-Commerce; Case-Based Reasoning Systems; Process Design and Organisational Issues in E-Commerce; Knowledge-Based Systems Engineering; Knowledge Management

Authors: Fan Jing , Shen Ying and Wang Zhihao

Affiliation: Zhejiang University of Technology, China

Digital Object Identifier: 10.5220/0002001403560359

Proceedings of ICEIS 2009, ISBN: 978-989-8111-85-2

Quick Abstract

Computer aided color design is one of the hotspots in industrial design area. Based on current color configuration research, this paper focuses on knowledge representation and reasoning of color design for air-nailer color configuration system. Firstly, color representation including color type and color value is discussed. Secondly, color reasoning based on HSV space among main color, first assistant color and second assistant color is investigated. At last, the application is represented, which has been tested efficiency and accurate in air-nailer color design.

Related Ontology Subjects/Areas/Topics (25)

Artificial Intelligence	Intelligent Control Systems and Optimization	Process Design and Organisational Issues in E-Commerce
Artificial Intelligence and Decision Support Systems	Knowledge Engineering	Public Sector Applications of E-Commerce
Biomedical Engineering	Knowledge Engineering and Ontology Development	Society, e-Business and e-Government
Case-Based Reasoning	Knowledge Management	Software Agents and Internet Computing
Data Engineering	Knowledge-Based Systems	Software Engineering
Enterprise Information Systems	Knowledge-Based Systems Applications	Symbolic Systems
Health Information Systems	Ontologies and the Semantic Web	Theory and Methods
Informatics in Control, Automation and Robotics	Pattern Recognition	Web Information Systems and Technologies
Information Systems Analysis and Specification

SIMULATION OF FOREST EVOLUTION - Effects of Environmental Factors to Trees Growth

Topics: Multimedia Systems; Virtual Reality and Augmented Reality

Authors: Jing Fan , Xiao-yong Sun , Ying Tang and Tian-yang Dong

Affiliation: Zhejiang University of Technology, China

Digital Object Identifier: 10.5220/0001990300660071

Proceedings of ICEIS 2009, ISBN: 978-989-8111-88-3

Quick Abstract

Out of the complexity and variety of plant communities, it is a challenging task to simulate the structure and dynamics of plant communities. In this paper we simulate and visualize the evolution of forests by the tree growth model influenced by the environmental factors. The environmental factors we considered include illumination, terrains and resource competition among trees. We develop our tree growth model based on the forest gap model by effectively incorporating the above environmental factors. The system is implemented with Visual C++ 6.0 and OpenGL. We compare the growth of trees (their heights and DBHs) which are of different ages or located in different regions. We also show changes of trees distribution within certain landscape for a long period of time (more than two hundred years). The illuminating and interesting experimental results show that our simulation technique is effective.

Related Ontology Subjects/Areas/Topics (7)

Enterprise Information Systems	Multimedia Systems	Virtual Environment, Virtual and Augmented Reality
Human-Computer Interaction	Robotics and Automation	Virtual Reality and Augmented Reality
Informatics in Control, Automation and Robotics

AN ONTOLOGY MAPPING ARCHITECTURE TO FACILITATE SEMANTIC INTEGRATION

Topics: System Integration; Ontology and the Semantic Web

Authors: Yingzi Wang ¹ , Deren Chen ² and Yanyun Wang ³

Affiliations: ¹ Zhejiang University; Zhejiang University of Technology, China , ² Zhejiang Univers, China , ³ Hangzhou Teachers College, China

Digital Object Identifier: 10.5220/0001264301340140

Proceedings of WEBIST 2007, ISBN: 978-972-8865-77-1

Quick Abstract

Mapping between ontologies is the major bottleneck in semantic integration. In this paper, we present MCMA, a mediator-centric mapping architecture that facilitates the integration between ontologies of interrelated companies. In MCMA, different ontologies are mapped through some middle concepts and the Mapping Service acts as a bridge to connect them. As a mediator, the provider of Mapping Service is interested in a specific area and offers some common ontologies for participators to reuse. On the assumption that each individual ontology may reuse or make reference to common definitions, some mapping relations can be defined conveniently. Based on these basic mapping relations, the Mapping Service infers more middle-concept oriented mapping relations and organizes them in a layered manner. We present the idea of combining heuristics or machine-learning techniques with common ontology approach in the mapping discovery.

Related Ontology Subjects/Areas/Topics (5)