Purpose The paper aims to identify and analyze passengers’ riding paths for providing better operational support for digital transformation in megacity metro systems.Design/methodology/approach The authors develop a method to leverage... more
Purpose The paper aims to identify and analyze passengers’ riding paths for providing better operational support for digital transformation in megacity metro systems.Design/methodology/approach The authors develop a method to leverage certain passengers’ deterministic riding paths to corroborate other passengers’ uncertain paths. Using Automatic Fare Collection data and train schedules, a witness model is built to recover the actual riding paths for passengers whose paths are unknown otherwise. The identification and analysis of passenger riding paths between three different types of origin–destination) pairs reveal the complexity of passenger path choice.Findings The results show that passenger path choice modeling is usually characterized by complexity, experience and partial blindness. Some passengers choose paths that are not optimal due to their experience and limited access to overall metro system information. These passengers could be the subject of improved path guidance in ...
PurposeBreast cancer is a global public health dilemma and the most prevalent cancer in the world. Effective treatment plans improve patient survival rates and well-being. The five-year survival rate is often used to develop treatment... more
PurposeBreast cancer is a global public health dilemma and the most prevalent cancer in the world. Effective treatment plans improve patient survival rates and well-being. The five-year survival rate is often used to develop treatment selection and survival prediction models. However, unlike other types of cancer, breast cancer patients can have long survival rates. Therefore, the authors propose a novel two-level framework to provide clinical decision support for treatment selection contingent on survival prediction.Design/methodology/approachThe first level classifies patients into different survival periods using machine learning algorithms. The second level has two models with different survival rates (five-year and ten-year). Thus, based on the classification results of the first level, the authors employed Bayesian networks (BNs) to infer the effect of treatment on survival in the second level.FindingsThe authors validated the proposed approach with electronic health record da...
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Connecting and leveraging different types of electronic data sources (e.g., mobile and networked sensors, devices, and systems) to create an integrated platform is always a challenging task. To meet the needs of smart city development,... more
Connecting and leveraging different types of electronic data sources (e.g., mobile and networked sensors, devices, and systems) to create an integrated platform is always a challenging task. To meet the needs of smart city development, developing that platform to process collected data in real time to support smart city services becomes essential. A robust and scalable framework for integrating big data and analytics solutions thus is required, aimed at providing seamless integration of heterogeneous data to manage city transportation, traffic, energy consumption, schools, hospitals, and other public services in a smart and sustainable manner. This paper extends our preliminary framework studies by discussing how we can implement physical and social sensing using the proposed big data and analytics platform to enable better and smarter services than ever before in great detail. With the support of big data and analytics technologies, we use city mobility services to demonstrate the great potential of the proposed integration and aggregation framework. Specifically, real time data from Citi Bike is collected, processed, and modeled. The developed prototype in support of city mobility management and operations shows a variety of potential benefits of the proposed digital ecosystem platform.
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Research Interests:
Alzheimer’s disease (AD) cannot be cured or slowed down with today’s medication. Scientific studies have found that 1) the progression of AD is highly correlated to a cognition decline, 2) cognition drop is a precursor of Alzheimer’s... more
Alzheimer’s disease (AD) cannot be cured or slowed down with today’s medication. Scientific studies have found that 1) the progression of AD is highly correlated to a cognition decline, 2) cognition drop is a precursor of Alzheimer’s disease, and 3) making lifestyle changes and training the brain can slow down AD progression. This project aims to develop a predictive model to know the progression of an AD patient. Factors that influence the disease’s severity and progression are determined, which would help facilitate developing a set of personalized care instructions to guide individuals in making the necessary lifestyle choices to retain or rejuvenate their brain’s cognitive ability. Ultimately, the developed model can be potentially incorporated into a convenient self-diagnostic tool for the public to use at home. Keywords— Alzheimer’s disease; patients, predictive models; classification; progression
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Research Interests: Engineering, Computer Science, Distributed Computing, Decision Making, Heuristics, and 12 moreSemiconductor Manufacturing, Intelligent Manufacturing, Manufacturing Engineering, Control Reconfiguration, Reconfigurability, Non-Cooperative Game Theory, Product Line, Decision Process, Control Architecture, Information System, Integrated Information System, and Material Flow
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PurposeClinical notes typically contain medical jargons and specialized words and phrases that are complicated and technical to most people, which is one of the most challenging obstacles in health information dissemination to consumers... more
PurposeClinical notes typically contain medical jargons and specialized words and phrases that are complicated and technical to most people, which is one of the most challenging obstacles in health information dissemination to consumers by healthcare providers. The authors aim to investigate how to leverage machine learning techniques to transform clinical notes of interest into understandable expressions.Design/methodology/approachThe authors propose a natural language processing pipeline that is capable of extracting relevant information from long unstructured clinical notes and simplifying lexicons by replacing medical jargons and technical terms. Particularly, the authors develop an unsupervised keywords matching method to extract relevant information from clinical notes. To automatically evaluate completeness of the extracted information, the authors perform a multi-label classification task on the relevant texts. To simplify lexicons in the relevant text, the authors identify ...
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Page 1. int. j. prod.res.,2000, vol.38, no. 1, 39±49 Structured adaptive supervisory control model and software development for a ¯ exible manufacturing system ROBIN G. QIU{* and SANJAY B. JOSHI{ A three-step approach ...
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Page 1. Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation July 16-20,2003, Kobe, Japan An Architecture of Configurable Equipment Connectivity in a Future Manufacturing Information... more
Page 1. Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics and Automation July 16-20,2003, Kobe, Japan An Architecture of Configurable Equipment Connectivity in a Future Manufacturing Information System ...
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Page 1. Journal of Intelligent Manufacturing, 17, 99109, 2006 © 2006 Springer Science+Business Media, Inc. Manufactured in The Netherlands. Towards ontology-driven knowledge synthesis for heterogeneous information systems ROBIN G. QIU ...
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Page 1. Journal of the Chinese Institute of Industrial Engineers, Vol. 22, No. 1, pp. 1-10 (2005) 1 E-MAINTENANCE IN SUPPORT OF E-AUTOMATED MANUFACTURING SYSTEMS Muhammed Ucar and Robin G. Qiu * Department ...
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Page 1. Int. J. Manufacturing Technology and Management, Vol. 10, Nos. 2/3, 2007 177 Copyright © 2007 Inderscience Enterprises Ltd. A service-oriented integration framework for semiconductor manufacturing systems Robin G. Qiu ...
Research Interests: Information Systems, Engineering, Computer Science, Modeling, Process Control, and 15 moreProductivity, Networking, Computing, Business and Management, Manufacturing Engineering, Integration, Manufacturing Technology, Open Systems, Network Architecture, Production Process, Firm, Production System, Production Line, Enterprise integration, and Information System
Page 1. Int. J. Services Operations and Informatics, Vol. 2, No. 2, 2007 103 Copyright © 2007 Inderscience Enterprises Ltd. Editorial: towards service science, engineering and practice 1 Robin G. Qiu* Division of Engineering ...
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Page 1. Distributed WIP Control in Advanced Semiconductor Manufacturing Robin Qiu Division of Engineering Penn State Great Valley Malvern, PA 19355,USA robinqiu@psu.edu Richard Burda' Robert Chylak IBM Microelectronics 2070 Route 52... more
Page 1. Distributed WIP Control in Advanced Semiconductor Manufacturing Robin Qiu Division of Engineering Penn State Great Valley Malvern, PA 19355,USA robinqiu@psu.edu Richard Burda' Robert Chylak IBM Microelectronics 2070 Route 52 Hopewell Junction, NY 12533 ...
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The explosive growth of data acquisition and increasing number of machining processes makes extremely difficult to deliver precise information to the proper users at the right time by relying on a centralized work-in-process (WIP) control... more
The explosive growth of data acquisition and increasing number of machining processes makes extremely difficult to deliver precise information to the proper users at the right time by relying on a centralized work-in-process (WIP) control system in manufacturing. This article presents a potentially practical solution to a manageable and well-distributed WIP control system by addressing issues such as real time
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Research Interests: Information Systems, Mechanical Engineering, Production, Computer Networks, Semiconductor Manufacturing, and 10 moreComputer Aided Manufacturing, Productivity, Control Systems, Real Time, Manufacturing Execution System, Job shop scheduling, Factory Automation, Electrical And Electronic Engineering, Manufacturing Execution Systems, and Information System
Research Interests: Business, Information Systems, Computer Science, XML, System Integration, and 12 moreSupply Chain, computer Integrated manufacturing, Data Fusion, Sensor Fusion, Cost effectiveness, Acceleration, Data Exchange, Supply Chains, Product Line, Data Format, Information System, and Manufacturing Industries
In recognition of the need for more effective and efficient factory system integration solutions, this paper improves the method proposed in our previous work, focusing on new mechanisms to bridge the gap between shop floor automation and... more
In recognition of the need for more effective and efficient factory system integration solutions, this paper improves the method proposed in our previous work, focusing on new mechanisms to bridge the gap between shop floor automation and factory information systems. As one of the mainstream identification technologies, radio frequency identification (RFID) technology makes possible all products uniquely identifiable across factories.
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The manufacturing industry cannot stay competitive and survive in today's market without agile adaptation to rapidly changing customers' demands. This in turn requires redesign and re-planning of manufacturing systems more... more
The manufacturing industry cannot stay competitive and survive in today's market without agile adaptation to rapidly changing customers' demands. This in turn requires redesign and re-planning of manufacturing systems more frequently and within shorter lead-time. In our previous ...
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Reconfigurability is essential for semiconductor manufacturing systems to remain competitive. Reconfigurable systems avoid costly modifications required to change and adapt to changes in product, production and services. A fully... more
Reconfigurability is essential for semiconductor manufacturing systems to remain competitive. Reconfigurable systems avoid costly modifications required to change and adapt to changes in product, production and services. A fully automated, collaborative, and integrated while reconfigurable manufacturing system proves cost-effective in the long term and is a promising strategy for the semiconductor manufacturing industry. However, there is a lack of computing models to facilitate the design and development of control and ...
Research Interests: Engineering, Computer Science, Semiconductor Manufacturing, Computer Model, Radio Frequency Identification, and 10 moreFormal method, Cost effectiveness, Field Programmable Gate Array, Management System, Formal Model, Design and Development, Factory Automation, Manufacturing System, Product Line, and Production Services
Research Interests: Computer Science, Manufacturing, Consumption, Decision Support Systems, Flow Control, and 15 moreDistributed System, Information Flow, Interoperability, Mathematical Sciences, Business Model, Robustness, Scalability, Production Process, Product Life Cycle, Enterprise Information System, Production System, System performance, Production Line, Modular Design, and Information System
Due to the mammoth needs of the semiconductor market, semiconductor-manufacturing systems have been given a special attention. Their operations require a manufacturing execution system (MES) that functions as the representative of an... more
Due to the mammoth needs of the semiconductor market, semiconductor-manufacturing systems have been given a special attention. Their operations require a manufacturing execution system (MES) that functions as the representative of an enterprise resource planner on the shop ...
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Reconfigurable manufacturing systems (RMSs) have been recognized as a new manufacturing paradigm. In light of their enhanced flexibility and responsiveness, RMSs are considered to be mostly applicable to the very dynamic and unpredictable... more
Reconfigurable manufacturing systems (RMSs) have been recognized as a new manufacturing paradigm. In light of their enhanced flexibility and responsiveness, RMSs are considered to be mostly applicable to the very dynamic and unpredictable marketplaces of the near future. However, systematic approaches to the design and ramp-up of an RMS have not been well addressed. This paper presents a virtual production
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The Small to Medium-sized Manufacturing Enterprise (SME) has consistently demonstrated the abil-ity to innovate and bring to the market new technologies and advancement in manufacturing. SMEs in industrialized nations function as the... more
The Small to Medium-sized Manufacturing Enterprise (SME) has consistently demonstrated the abil-ity to innovate and bring to the market new technologies and advancement in manufacturing. SMEs in industrialized nations function as the supplier base for domestic ...
Research Interests: Globalization, Performance Measurement, Data Envelopment Analysis, Multi Criteria Decision Making, Analytic Hierarchy Process, and 9 moreIntelligent Manufacturing, New Technology, Enterprise, Manufacturing Engineering, Data Collection, Cost effectiveness, Input Output, Analytical Hierarchy Process, and Performance Measure
Two basic measures, model complexity and model construction efficiency, are usually used to evaluate the implementability of a methodology for modeling the control of a discrete event manufacturing system (DEMS) on the shop floor. Many... more
Two basic measures, model complexity and model construction efficiency, are usually used to evaluate the implementability of a methodology for modeling the control of a discrete event manufacturing system (DEMS) on the shop floor. Many well-recognized methods are used to represent and analyze the dynamics of DEMs, but not many relevant applications have been found in developing control software for the shop floor due to their shortcomings in satisfying these two measures.
Research Interests: Engineering, Computer Science, Software Engineering, Process Control, Software Development, and 15 moreAdaptive Control, Automata, Automatic Control, Supervisory Control, Parallel Processing, Programming, Software Measurement, Formal languages, Manufacturing System, Parallel Computer, Finite state machines, Discrete Event, Model Complexity, Application Software, and Supervisory Control Theory
General Co-Chairs TY Lin - San Jose State University, USA Nick Cercone - Dalhousie University, Canada Yi Pan - Georgia State University, USA ... Honorary Chairs Setsuo Ohsuga - University of Tokyo, Japan Zdzislaw Pawlak - Polish Academy... more
General Co-Chairs TY Lin - San Jose State University, USA Nick Cercone - Dalhousie University, Canada Yi Pan - Georgia State University, USA ... Honorary Chairs Setsuo Ohsuga - University of Tokyo, Japan Zdzislaw Pawlak - Polish Academy of Sciences, Poland Stephen Smale - UC Berkeley, TTI at Chicago, USA Lotfi A. Zadeh - UC Berkeley, USA ... Program Committee Co-Chairs Yan-Qing Zhang - Georgia State University, USA Witold Pedrycz - University of Alberta, Canada Ming-Chien Shan - Hewlett Packard, USA ... Program Committee Vice- ...
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In the Semiconductor Industry, the communication between a host application and equipment is performed using some standardized communication protocols, such as SECS I, SECS II, or GEM. However, specific equipment requirements and... more
In the Semiconductor Industry, the communication between a host application and equipment is performed using some standardized communication protocols, such as SECS I, SECS II, or GEM. However, specific equipment requirements and proprietary messages frequently ...
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On the supply chain, Web-based product information retrieval systems should be locally contextual, responsive, and evolution-prone. This paper presents an approach to the design and development of such an information retrieval system. By... more
On the supply chain, Web-based product information retrieval systems should be locally contextual, responsive, and evolution-prone. This paper presents an approach to the design and development of such an information retrieval system. By taking advantage of radio frequency identification technology, an individual product can be globally identified and tracked. When the locality information of an individual product is embedded in its identity tag, the precise and pertinent service of a product can be instantly delivered to its user as requested. Product context spaces based product life cycles are proposed. A responsive information server can be accordingly constructed.
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In this information era, both business and living communities are truly IT driven and service oriented. As the globalization of the world economy accelerates with the fast advance of networking and computing technologies, IT plays a more... more
In this information era, both business and living communities are truly IT driven and service oriented. As the globalization of the world economy accelerates with the fast advance of networking and computing technologies, IT plays a more and more critical role in assuring real-time collaborations for delivering needs across the world. Nowadays, world-class enterprises are eagerly embracing service-led business models aimed at creating highly profitable service-oriented businesses. They take advantage of their own years of experience and unique marketing, engineering, and application expertise and shift gears toward creating superior outcomes to best meet their customers’ needs in order to stay competitive. IT has been considered as one of the high-value services areas. In this chapter, the discussion will focus on IT as a service. We present IT development, research, and outsourcing as a knowledge service; on the other hand, we argue that IT as a service helps enterprises align thei...
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Real-time response is fundamental to a manufacturing execution system used in a back-end semiconductor manufacturing system (BSMS) on the shop floor. This paper presents a practical solution to easing system integration while improving... more
Real-time response is fundamental to a manufacturing execution system used in a back-end semiconductor manufacturing system (BSMS) on the shop floor. This paper presents a practical solution to easing system integration while improving its real-time responses. First, by incorporating the concept of virtual production lines (VPL) into the manufacturing execution system modeling, the model complexity can be reduced significantly, consequently easing its integration to shop floor controls. Secondly, a new system integration framework is introduced, which guarantees the real-time entries of system data for all the activities occurring on the shop floor. Real-time information helps management make optimal decisions, thus improving the productivity of a BSMS.
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This chapter proposes a three-level decision-support system (DSS) for integrated e-supply-chains (IESCs) network design and reconfiguration based on data and information that can be obtained via Internetand Web-based computing tools. The... more
This chapter proposes a three-level decision-support system (DSS) for integrated e-supply-chains (IESCs) network design and reconfiguration based on data and information that can be obtained via Internetand Web-based computing tools. The IESC is described as a set of consecutive stages connected by communication and transportation links, and the design and reconfiguration aim of the DSS consists of selecting the partners of the stages on the basis of transportation connections and 701 E. Chocolate Avenue, Suite 200, Hershey PA 17033, USA Tel: 717/533-8845; Fax 717/533-8661; URL-http://www.idea-group.com ITB13630 INFORMATION SCIENCE PUBLISHING This chapter appears in the book, Enterprise Service Computing: From Concept to Deployment edited by Robin Qiu © 2007, Idea Group Inc. Service Computing for Design and Reconfiguration of Integrated E-Supply Chains 323 Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group ...
Supply chain management (SCM) is all about optimizing business processes for increasing business values in every aspect of the extended enterprise, from the supplier's supplier to the customer's customer. In general, it is a set... more
Supply chain management (SCM) is all about optimizing business processes for increasing business values in every aspect of the extended enterprise, from the supplier's supplier to the customer's customer. In general, it is a set of activities that span enterprise functions from product ...
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Because pharmaceutical companies have failed to develop Alzheimer’s disease (AD) cure and treatment as of today, AD early detection and intervention becomes increasingly clear to be the best choice of improving quality of life for persons... more
Because pharmaceutical companies have failed to develop Alzheimer’s disease (AD) cure and treatment as of today, AD early detection and intervention becomes increasingly clear to be the best choice of improving quality of life for persons with AD at least in the near future. Thus, developing patient-centric predictive models and enabling self-diagnosis services are of great potential. This paper presents how recurrent neuron neatwork (RNN) models can be adopted in the AD early diagnosis modeling (ADEDM). In particular, we show that the improved prediction accuracy of RNN AD-EDM can contribute to the delivery of self-diagnosis services for preclinical/early AD patients. By leveraging the fast development of big data technologies and machine learning methods, our AD-EDM tools will make a difference in discovering non-pharmacologic therapy solutions to slow AD progression.
Continuous Audit ing ( CA ) is an activ e r esearch domain in com puter-assisted audit field. T he study of CA is sur veyed in this paper. Fir stly, the concept o f CA is analyzed. Then, the r esear ch content s o f CA are classified: (... more
Continuous Audit ing ( CA ) is an activ e r esearch domain in com puter-assisted audit field. T he study of CA is sur veyed in this paper. Fir stly, the concept o f CA is analyzed. Then, the r esear ch content s o f CA are classified: ( 1) Resear ch fr om the view o f technique realization methods, which is cla ssified into embedded mode and sepa rate mode. ( 2) Research fr om the view of t heo ry . ( 3) Resear ch on key techniques of CA . And t he CA is analyzed and compared based on this classify ing . Finally, the w ork of this paper is summar ized, and the future r esearch topics r ela ted to CA are also discussed.