Real-time multimedia sharing in Consumer-centric Multimedia Network(CMN) requires usability anywhere, anytime and from any device. However, CMNs are usually located or implemented on application layer, which makes CMN...Real-time multimedia sharing in Consumer-centric Multimedia Network(CMN) requires usability anywhere, anytime and from any device. However, CMNs are usually located or implemented on application layer, which makes CMNs subjected to their fixed substrate security framework. A fundamental diversifying attribute for the customized security experiences of CMNs is pressing. This paper proposes a programmable network structure which is named Service Processing Chain(SPC) based on network function combination. The SPC is established by the ordinal combination of network functions in substrate switches dynamically, and therefore constructs a special channel for each CMN with required security. The construction and reconfiguration algorithms of SPC are also discussed in this paper. Evaluations and implementation show that above approaches are effective in providing multilevel security with flexibility and expansibility. It is believed that the SPC could provide customized security service and drive participative real-time multimedia sharing for CMNs.展开更多
End-user computing empowers non-developers to manage data and applications, enhancing collaboration and efficiency. Spreadsheets, a prime example of end-user programming environments widely used in business for data a...End-user computing empowers non-developers to manage data and applications, enhancing collaboration and efficiency. Spreadsheets, a prime example of end-user programming environments widely used in business for data analysis. However, Excel functionalities have limits compared to dedicated programming languages. This paper addresses this gap by proposing a prototype for integrating Python’s capabilities into Excel through on-premises desktop to build custom spreadsheet functions with Python. This approach overcomes potential latency issues associated with cloud-based solutions. This prototype utilizes Excel-DNA and IronPython. Excel-DNA allows creating custom Python functions that seamlessly integrate with Excel’s calculation engine. IronPython enables the execution of these Python (CSFs) directly within Excel. C# and VSTO add-ins form the core components, facilitating communication between Python and Excel. This approach empowers users with a potentially open-ended set of Python (CSFs) for tasks like mathematical calculations, statistical analysis, and even predictive modeling, all within the familiar Excel interface. This prototype demonstrates smooth integration, allowing users to call Python (CSFs) just like standard Excel functions. This research contributes to enhancing spreadsheet capabilities for end-user programmers by leveraging Python’s power within Excel. Future research could explore expanding data analysis capabilities by expanding the (CSFs) functions for complex calculations, statistical analysis, data manipulation, and even external library integration. The possibility of integrating machine learning models through the (CSFs) functions within the familiar Excel environment.展开更多
Quality function deployment （QFD） is a well-known customer-oriented product design methodology. Rating the final importance of customer requirements （CRs） is really a very es- sential starting point in the impleme...Quality function deployment （QFD） is a well-known customer-oriented product design methodology. Rating the final importance of customer requirements （CRs） is really a very es- sential starting point in the implementation of QFD, since it largely affects the target setting value of design requirements. This pa- per aims to propose a novel method to deal with the relative importance ratings （RIRs） of CRs problem considering customers＇ diversified requirements and unknown information on customers＇ weights, which is an indispensable process for determining the final importance ratings of CRs. First, a new concept of customer＇s assessment structure is proposed according to the basic idea of grey relational analysis （GRA）, and then a constrained nonlinear optimization model is constructed to describe the assessment information aggregation factors of CRs considering customers＇ personalized and diversified requirements. Furthermore, an im- mune particle swarm optimization （IPSO） algorithm is designed to solve the model, and the weight vector of customers is obtained. Finally, a car door design example is introduced to illustrate the novel hybrid GRA-IPSO method＇s potential application in deter- mining the RIRs of CRs.展开更多
Corresponding customized software tool is usually unavailable, which increases the time and workload for evaluating the results of a clinical trial. In the present paper, we demonstrate the development process of a cu...Corresponding customized software tool is usually unavailable, which increases the time and workload for evaluating the results of a clinical trial. In the present paper, we demonstrate the development process of a customized software for one clinical trial on patients with obstructive lung disease. Over hundred patients and volunteers as controlled were included in the clinical trial. They were examined by spirometry and EIT in a seated position during spontaneous tidal breathing. Subsequently, standard vital capacity maneuver and forced full expiration maneuver were performed. In order to evaluate the offline data, a customized software was developed. The requirements of the software were defined by investigators. The software was then tested on patients’ data and refined based on feedbacks of the investigators. We finalized the customized software with analysis of various disease-specific parameters and indices. Compared to the data process with device specific programs and other commercial software, the customized software is more flexible, user-friendly and extendable. As conclusion, customized software simplifies the evaluation process distinctly and helps physicians to focus on study design and result interpretation.展开更多
In the implementation of quality function deployment （QFD）, the determination of the target values of engineering characteristics is a complex decision process with multiple variables and multiple objectives that sh...In the implementation of quality function deployment （QFD）, the determination of the target values of engineering characteristics is a complex decision process with multiple variables and multiple objectives that should trade off, and optimize all kinds of conflicts and constraints. A fuzzy linear programming model （FLP） is proposed. On the basis of the inherent fuzziness of QFD system, triangular fuzzy numbers are used to represent all the relationships and correlations, and then, the functional relationships between the customer needs and engineering characteristics and the functional correlations among the engineering characteristics are determined with the information in the house of quality （HoQ） fully used. The fuzzy linear programming （FLP） model aims to find the optimal target values of the engineering characteristics to maximize the customer satisfaction. Finally, the proposed method is illustrated by a numerical example.展开更多
Mass customization relates to the ability of providing individually designed products or services to customer with high process flexibility or integration.Literatures on mass customization have been focused on mechani...Mass customization relates to the ability of providing individually designed products or services to customer with high process flexibility or integration.Literatures on mass customization have been focused on mechanism of MC,but little on cus- tomer order decoupling point selection.The aim of this paper is to present a model for customer order decoupling point selection of domain knowledge interactions between enterprises and customers in mass customization.Based on the analysis of other researchers’ achievements combining the demand problems of customer and enterprise,a model of group decision for customer order decoupling point selection is constructed based on quality function deployment and multi-agent system.Considering relatively the decision mak- ers of independent functional departments as independent decision agents,a decision agent set is added as the third dimensionality to house of quality,the cubic quality function deployment is formed.The decision-making can be consisted of two procedures:the first one is to build each plane house of quality in various functional departments to express each opinions;the other is to evaluate and gather the foregoing sub-decisions by a new plane quality function deployment.Thus,department decision-making can well use its domain knowledge by ontology,and total decision-making can keep simple by avoiding too many customer requirements.展开更多
针对高速列车顶层设计指标定义过程中客户需求转化不精确的问题,提出一种整合价值主张画布与质量功能展开(Quality Function Deployment,QFD)的需求驱动的指标定义方法。通过客户价值主张画布识别出核心客户需求,采用网络层次分析法(Ana...针对高速列车顶层设计指标定义过程中客户需求转化不精确的问题,提出一种整合价值主张画布与质量功能展开(Quality Function Deployment,QFD)的需求驱动的指标定义方法。通过客户价值主张画布识别出核心客户需求,采用网络层次分析法(Analytic Network Process,ANP)计算需求权重,并确定关键顶层设计指标;基于QFD构建核心客户需求与关键顶层设计指标的映射关系模型,利用皮尔逊相关性系数量化关键顶层设计指标间的相关性,并构建最大化总体客户满意度的优化模型,基于改进遗传算法求解出Pareto最优指标解集。以某型高速列车为例展开应用验证,结果表明,定义的最优指标解集与实际指标基本相符,验证了所提方法在需求精准转化与指标协同定义方面的有效性,为需求导向的高速列车顶层设计指标定义过程提供了理论支撑。展开更多
基金supported by The National Basic Research Program of China (973) (Grant No. 2012CB315901, 2013CB329104)The National Natural Science Foundation of China (Grant No. 61521003, 61372121, 61309019, 61572519, 61502530)The National High Technology Research and Development Program of China (863) (Grant No. 2015AA016102)
文摘Real-time multimedia sharing in Consumer-centric Multimedia Network(CMN) requires usability anywhere, anytime and from any device. However, CMNs are usually located or implemented on application layer, which makes CMNs subjected to their fixed substrate security framework. A fundamental diversifying attribute for the customized security experiences of CMNs is pressing. This paper proposes a programmable network structure which is named Service Processing Chain(SPC) based on network function combination. The SPC is established by the ordinal combination of network functions in substrate switches dynamically, and therefore constructs a special channel for each CMN with required security. The construction and reconfiguration algorithms of SPC are also discussed in this paper. Evaluations and implementation show that above approaches are effective in providing multilevel security with flexibility and expansibility. It is believed that the SPC could provide customized security service and drive participative real-time multimedia sharing for CMNs.
文摘End-user computing empowers non-developers to manage data and applications, enhancing collaboration and efficiency. Spreadsheets, a prime example of end-user programming environments widely used in business for data analysis. However, Excel functionalities have limits compared to dedicated programming languages. This paper addresses this gap by proposing a prototype for integrating Python’s capabilities into Excel through on-premises desktop to build custom spreadsheet functions with Python. This approach overcomes potential latency issues associated with cloud-based solutions. This prototype utilizes Excel-DNA and IronPython. Excel-DNA allows creating custom Python functions that seamlessly integrate with Excel’s calculation engine. IronPython enables the execution of these Python (CSFs) directly within Excel. C# and VSTO add-ins form the core components, facilitating communication between Python and Excel. This approach empowers users with a potentially open-ended set of Python (CSFs) for tasks like mathematical calculations, statistical analysis, and even predictive modeling, all within the familiar Excel interface. This prototype demonstrates smooth integration, allowing users to call Python (CSFs) just like standard Excel functions. This research contributes to enhancing spreadsheet capabilities for end-user programmers by leveraging Python’s power within Excel. Future research could explore expanding data analysis capabilities by expanding the (CSFs) functions for complex calculations, statistical analysis, data manipulation, and even external library integration. The possibility of integrating machine learning models through the (CSFs) functions within the familiar Excel environment.
基金supported by the Fundamental Research Funds for the Central Universities(K5051399035BDY251412+1 种基金JB150601)the Soft Science Project of Shaanxi Province(2013KRZ25)
文摘Quality function deployment （QFD） is a well-known customer-oriented product design methodology. Rating the final importance of customer requirements （CRs） is really a very es- sential starting point in the implementation of QFD, since it largely affects the target setting value of design requirements. This pa- per aims to propose a novel method to deal with the relative importance ratings （RIRs） of CRs problem considering customers＇ diversified requirements and unknown information on customers＇ weights, which is an indispensable process for determining the final importance ratings of CRs. First, a new concept of customer＇s assessment structure is proposed according to the basic idea of grey relational analysis （GRA）, and then a constrained nonlinear optimization model is constructed to describe the assessment information aggregation factors of CRs considering customers＇ personalized and diversified requirements. Furthermore, an im- mune particle swarm optimization （IPSO） algorithm is designed to solve the model, and the weight vector of customers is obtained. Finally, a car door design example is introduced to illustrate the novel hybrid GRA-IPSO method＇s potential application in deter- mining the RIRs of CRs.
文摘Corresponding customized software tool is usually unavailable, which increases the time and workload for evaluating the results of a clinical trial. In the present paper, we demonstrate the development process of a customized software for one clinical trial on patients with obstructive lung disease. Over hundred patients and volunteers as controlled were included in the clinical trial. They were examined by spirometry and EIT in a seated position during spontaneous tidal breathing. Subsequently, standard vital capacity maneuver and forced full expiration maneuver were performed. In order to evaluate the offline data, a customized software was developed. The requirements of the software were defined by investigators. The software was then tested on patients’ data and refined based on feedbacks of the investigators. We finalized the customized software with analysis of various disease-specific parameters and indices. Compared to the data process with device specific programs and other commercial software, the customized software is more flexible, user-friendly and extendable. As conclusion, customized software simplifies the evaluation process distinctly and helps physicians to focus on study design and result interpretation.
基金supported by the National Natural Science Foundation of China (70571041).
文摘In the implementation of quality function deployment （QFD）, the determination of the target values of engineering characteristics is a complex decision process with multiple variables and multiple objectives that should trade off, and optimize all kinds of conflicts and constraints. A fuzzy linear programming model （FLP） is proposed. On the basis of the inherent fuzziness of QFD system, triangular fuzzy numbers are used to represent all the relationships and correlations, and then, the functional relationships between the customer needs and engineering characteristics and the functional correlations among the engineering characteristics are determined with the information in the house of quality （HoQ） fully used. The fuzzy linear programming （FLP） model aims to find the optimal target values of the engineering characteristics to maximize the customer satisfaction. Finally, the proposed method is illustrated by a numerical example.
基金Supported by the National Natural Science Foundation,China(No.70571019)the National High-Tech.R&D Program for CIMS,China(No.2002AA413110)the National Defense Basic Science and Research Foundation,China(No.A2320060097)
文摘Mass customization relates to the ability of providing individually designed products or services to customer with high process flexibility or integration.Literatures on mass customization have been focused on mechanism of MC,but little on cus- tomer order decoupling point selection.The aim of this paper is to present a model for customer order decoupling point selection of domain knowledge interactions between enterprises and customers in mass customization.Based on the analysis of other researchers’ achievements combining the demand problems of customer and enterprise,a model of group decision for customer order decoupling point selection is constructed based on quality function deployment and multi-agent system.Considering relatively the decision mak- ers of independent functional departments as independent decision agents,a decision agent set is added as the third dimensionality to house of quality,the cubic quality function deployment is formed.The decision-making can be consisted of two procedures:the first one is to build each plane house of quality in various functional departments to express each opinions;the other is to evaluate and gather the foregoing sub-decisions by a new plane quality function deployment.Thus,department decision-making can well use its domain knowledge by ontology,and total decision-making can keep simple by avoiding too many customer requirements.
文摘针对高速列车顶层设计指标定义过程中客户需求转化不精确的问题,提出一种整合价值主张画布与质量功能展开(Quality Function Deployment,QFD)的需求驱动的指标定义方法。通过客户价值主张画布识别出核心客户需求,采用网络层次分析法(Analytic Network Process,ANP)计算需求权重,并确定关键顶层设计指标;基于QFD构建核心客户需求与关键顶层设计指标的映射关系模型,利用皮尔逊相关性系数量化关键顶层设计指标间的相关性,并构建最大化总体客户满意度的优化模型,基于改进遗传算法求解出Pareto最优指标解集。以某型高速列车为例展开应用验证,结果表明,定义的最优指标解集与实际指标基本相符,验证了所提方法在需求精准转化与指标协同定义方面的有效性,为需求导向的高速列车顶层设计指标定义过程提供了理论支撑。
