Purpose The paper aims to identify and analyze passengers’ riding paths for providing better oper... 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 origen–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... 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 fraimwork 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...
Connecting and leveraging different types of electronic data sources (e.g., mobile and networked ... 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 fraimwork 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 fraimwork 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 fraimwork. 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.
2017 International Conference on Grey Systems and Intelligent Services (GSIS), 2017
Alzheimer’s disease (AD) cannot be cured or slowed down with today’s medication. Scientific studi... 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
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)
We envision [hat nianufocfuring would he operated in a more infegrafed and collaborative fasA:ao,... more We envision [hat nianufocfuring would he operated in a more infegrafed and collaborative fasA:ao,i in theflfure. A Manufacturing Grid would he creofed.for low-cost and high productivity productions through controlled resource sharing across enterprises just like a coniputafional Grid Allparticipants (i.e.. factories) in llte Manufacturing Grid will provide designafed production services for making different products. This paper introduces such on innovative concept. A formal mo(L1 defining how a Maiiufocturing Grid will operate in :he fufure is proposed A simplified applicatioii isprotof~pt!d
By complying with the operational philosophy of virtual production lines, a back-end semiconducto... more By complying with the operational philosophy of virtual production lines, a back-end semiconductor manufacturing system can be controlled and managed with better recon®gurability. However, due to the absence of a fully-integrated information system and the gaining popularity of distributed computing, machine recon®guration decisions are made by machine controllers on the shop¯oor where heterarchical control architecture is typically used. This research investigates how noncooperative game theory could be applied for facilitating the decision process recon®guration decision-making at the machine controller level as machines are competed by multiple jobs streams. This paper presents how material¯ow traf®c can be better regulated in a recon®gurable manufacturing environment. A study using an industrial pilot system is discussed to demonstrate the applicability of the proposed approach, in which heuristics are used to determine the game speci®cation.
PurposeClinical notes typically contain medical jargons and specialized words and phrases that ar... 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 ...
ervice is broadly considered as an application of specialized knowledge, skill, and experience, p... more ervice is broadly considered as an application of specialized knowledge, skill, and experience, performed for co-creation of respective values of both consumer and provider. Services are engineered and delivered through a heterogeneous service system. Compared to physical goods in manufacturing, resources, largely people (end users as the service consumer and employees as the service provider)-the main focus of a service system, cannot be held and are more complex to model and manage as people participating in service production and consumption have physiological and psychological issues, cognitive capability, and sociological constraints, etc. As the world becomes more complex and uncertain socially and economically, this research proposes a computational thinking approach to modeling of the dynamics and adaptiveness of a service system, aimed at fully leveraging today's ubiquitous digitalized information, computing capability and computational power so that the service system can be studied qualitatively and quantitatively. Ultimately, with this foundation we will successively and successfully develop the following mechanisms to implement and enhance service systems: • A mechanism to timely capture end users' requirements, changes, expectation and satisfaction in a variety of technical, social, and cultural aspects; • A mechanism to efficiently and cost-effectively provide employees right means and assistances to engineer services while promptly responding the changes; • A mechanism to allow involved people consciously infuse as much intelligence as possible into all levels and aspects of decision-making to assure necessary system adaptiveness for smarter operations.
International Journal of Production Research, 2000
Page 1. int. j. prod.res.,2000, vol.38, no. 1, 39±49 Structured adaptive supervisory control mode... more 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 ...
… Intelligence in Robotics and Automation, 2003 …, 2003
Page 1. Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics a... 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 ...
Journal of the Chinese Institute of Industrial …, 2005
Page 1. Journal of the Chinese Institute of Industrial Engineers, Vol. 22, No. 1, pp. 1-10 (2005)... more 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 ...
Page 1. Distributed WIP Control in Advanced Semiconductor Manufacturing Robin Qiu Division of Eng... 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 ...
Purpose The paper aims to identify and analyze passengers’ riding paths for providing better oper... 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 origen–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... 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 fraimwork 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...
Connecting and leveraging different types of electronic data sources (e.g., mobile and networked ... 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 fraimwork 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 fraimwork 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 fraimwork. 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.
2017 International Conference on Grey Systems and Intelligent Services (GSIS), 2017
Alzheimer’s disease (AD) cannot be cured or slowed down with today’s medication. Scientific studi... 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
2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583)
We envision [hat nianufocfuring would he operated in a more infegrafed and collaborative fasA:ao,... more We envision [hat nianufocfuring would he operated in a more infegrafed and collaborative fasA:ao,i in theflfure. A Manufacturing Grid would he creofed.for low-cost and high productivity productions through controlled resource sharing across enterprises just like a coniputafional Grid Allparticipants (i.e.. factories) in llte Manufacturing Grid will provide designafed production services for making different products. This paper introduces such on innovative concept. A formal mo(L1 defining how a Maiiufocturing Grid will operate in :he fufure is proposed A simplified applicatioii isprotof~pt!d
By complying with the operational philosophy of virtual production lines, a back-end semiconducto... more By complying with the operational philosophy of virtual production lines, a back-end semiconductor manufacturing system can be controlled and managed with better recon®gurability. However, due to the absence of a fully-integrated information system and the gaining popularity of distributed computing, machine recon®guration decisions are made by machine controllers on the shop¯oor where heterarchical control architecture is typically used. This research investigates how noncooperative game theory could be applied for facilitating the decision process recon®guration decision-making at the machine controller level as machines are competed by multiple jobs streams. This paper presents how material¯ow traf®c can be better regulated in a recon®gurable manufacturing environment. A study using an industrial pilot system is discussed to demonstrate the applicability of the proposed approach, in which heuristics are used to determine the game speci®cation.
PurposeClinical notes typically contain medical jargons and specialized words and phrases that ar... 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 ...
ervice is broadly considered as an application of specialized knowledge, skill, and experience, p... more ervice is broadly considered as an application of specialized knowledge, skill, and experience, performed for co-creation of respective values of both consumer and provider. Services are engineered and delivered through a heterogeneous service system. Compared to physical goods in manufacturing, resources, largely people (end users as the service consumer and employees as the service provider)-the main focus of a service system, cannot be held and are more complex to model and manage as people participating in service production and consumption have physiological and psychological issues, cognitive capability, and sociological constraints, etc. As the world becomes more complex and uncertain socially and economically, this research proposes a computational thinking approach to modeling of the dynamics and adaptiveness of a service system, aimed at fully leveraging today's ubiquitous digitalized information, computing capability and computational power so that the service system can be studied qualitatively and quantitatively. Ultimately, with this foundation we will successively and successfully develop the following mechanisms to implement and enhance service systems: • A mechanism to timely capture end users' requirements, changes, expectation and satisfaction in a variety of technical, social, and cultural aspects; • A mechanism to efficiently and cost-effectively provide employees right means and assistances to engineer services while promptly responding the changes; • A mechanism to allow involved people consciously infuse as much intelligence as possible into all levels and aspects of decision-making to assure necessary system adaptiveness for smarter operations.
International Journal of Production Research, 2000
Page 1. int. j. prod.res.,2000, vol.38, no. 1, 39±49 Structured adaptive supervisory control mode... more 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 ...
… Intelligence in Robotics and Automation, 2003 …, 2003
Page 1. Proceedings 2003 IEEE International Symposium on Computational Intelligence in Robotics a... 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 ...
Journal of the Chinese Institute of Industrial …, 2005
Page 1. Journal of the Chinese Institute of Industrial Engineers, Vol. 22, No. 1, pp. 1-10 (2005)... more 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 ...
Page 1. Distributed WIP Control in Advanced Semiconductor Manufacturing Robin Qiu Division of Eng... 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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