The Experts below are selected from a list of 33 Experts worldwide ranked by ideXlab platform
Xiaolan Guan - One of the best experts on this subject based on the ideXlab platform.
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A container dispatching system for river ports based on distributed business intelligence
2020Co-Authors: Jingyuan Zeng, Zhenji Zhang, Xiaolan GuanAbstract:Purpose: With the expansion of business scope of river ports, it demands higher loading and unloading efficiency. Automation, informatization and intellectualization become the only way to development of river ports. Because the key process in river port is container dispatching, the purpose of this paper is to design a container dispatching system, which can improve port performance. Design/methodology/approach: At first, this paper establishes an informatization framework for river ports to discuss and clarify the importance of the container dispatching system in informatization of river ports. And then, the system structure is designed based on distributed business intelligence. It contains four levels, Data source Layer, Data Warehouse Layer, Data service Layer and application Layer. The main modules are discussed in detail. At last, a KPI model is established to appraise the performance of this system. Findings and Originality/value: This paper develops an original container dispatching system based on distributed business intelligence. Through performance comparison and analysis before and after the system implementation in Whampoa, the system is proved to have a lot of real benefits: with the system, the resource utilization rate is improved and profitless operation and the cost are reduced; the system reduces the labor intensity and labor cost and optimizes the configuration of personnel; the system helps on dynamic decision-making; it provides a way for
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A container dispatching system for river ports based on distributed intelligent agent
Journal of Industrial Engineering and Management, 2013Co-Authors: Jingyuan Zeng, Zhenji Zhang, Xiaolan GuanAbstract:With the expansion of business scope of river ports, it demands higher loading and unloading efficiency. Automation, informatization and intelligentization become the only way to development of river ports. This paper establishes an informatization framework for river ports at first. The key process in river port is container dispatching. Therefore, this paper designs a container dispatching system based on business intelligence. It can be divided into four levels, Data source Layer, Data Warehouse Layer, Data service Layer and application Layer. The main modules are discussed in detail. At last, through performance comparison and analysis before and after the system implementation in Whampoa, the system is proved to have a lot of real benefits.
Jingyuan Zeng - One of the best experts on this subject based on the ideXlab platform.
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A container dispatching system for river ports based on distributed business intelligence
2020Co-Authors: Jingyuan Zeng, Zhenji Zhang, Xiaolan GuanAbstract:Purpose: With the expansion of business scope of river ports, it demands higher loading and unloading efficiency. Automation, informatization and intellectualization become the only way to development of river ports. Because the key process in river port is container dispatching, the purpose of this paper is to design a container dispatching system, which can improve port performance. Design/methodology/approach: At first, this paper establishes an informatization framework for river ports to discuss and clarify the importance of the container dispatching system in informatization of river ports. And then, the system structure is designed based on distributed business intelligence. It contains four levels, Data source Layer, Data Warehouse Layer, Data service Layer and application Layer. The main modules are discussed in detail. At last, a KPI model is established to appraise the performance of this system. Findings and Originality/value: This paper develops an original container dispatching system based on distributed business intelligence. Through performance comparison and analysis before and after the system implementation in Whampoa, the system is proved to have a lot of real benefits: with the system, the resource utilization rate is improved and profitless operation and the cost are reduced; the system reduces the labor intensity and labor cost and optimizes the configuration of personnel; the system helps on dynamic decision-making; it provides a way for
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A container dispatching system for river ports based on distributed intelligent agent
Journal of Industrial Engineering and Management, 2013Co-Authors: Jingyuan Zeng, Zhenji Zhang, Xiaolan GuanAbstract:With the expansion of business scope of river ports, it demands higher loading and unloading efficiency. Automation, informatization and intelligentization become the only way to development of river ports. This paper establishes an informatization framework for river ports at first. The key process in river port is container dispatching. Therefore, this paper designs a container dispatching system based on business intelligence. It can be divided into four levels, Data source Layer, Data Warehouse Layer, Data service Layer and application Layer. The main modules are discussed in detail. At last, through performance comparison and analysis before and after the system implementation in Whampoa, the system is proved to have a lot of real benefits.
Jalel Akaichi - One of the best experts on this subject based on the ideXlab platform.
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ASONAM - Tracking dynamic community evolution in social networks
2014 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 2014Co-Authors: Zeineb Dhouioui, Jalel AkaichiAbstract:Healthcare social networking has known a prominent popularity. Nowadays, millions of healthcare communities are appeared. Community detection methods in social networks have essentially focused on static graphs neglecting the temporal characteristics of net-works. Recently, motivated by the dynamic nature of real world projected on virtual social networks, an increasing number of evolutionary properties of communities issues are considered by research community. In this work, we aim to present a study on social networks across the time axis i.e. temporal social networks and we propose an algorithm classifying changes and based on indicators, and also we integrate Data Warehouse Layer in order to have an over-view of all possible changes helpful for future analysis. The experimental results include an example of changes related to the apparition of diabetes in our country Tunisia.
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Tracking dynamic community evolution in social networks
2014 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 2014Co-Authors: Zeineb Dhouioui, Jalel AkaichiAbstract:Healthcare social networking has known a prominent popularity. Nowadays, millions of healthcare communities are appeared. Community detection methods in social networks have essentially focused on static graphs neglecting the temporal characteristics of networks. Recently, motivated by the dynamic nature of real world projected on virtual social networks, an increasing number of evolutionary properties of communities issues are considered by research community. In this work, we aim to present a study on social networks across the time axis i.e. temporal social networks and we propose an algorithm classifying changes and based on indicators, and also we integrate Data Warehouse Layer in order to have an over-view of all possible changes helpful for future analysis. The experimental results include an example of changes related to the apparition of diabetes in our country Tunisia.
Zhenji Zhang - One of the best experts on this subject based on the ideXlab platform.
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A container dispatching system for river ports based on distributed business intelligence
2020Co-Authors: Jingyuan Zeng, Zhenji Zhang, Xiaolan GuanAbstract:Purpose: With the expansion of business scope of river ports, it demands higher loading and unloading efficiency. Automation, informatization and intellectualization become the only way to development of river ports. Because the key process in river port is container dispatching, the purpose of this paper is to design a container dispatching system, which can improve port performance. Design/methodology/approach: At first, this paper establishes an informatization framework for river ports to discuss and clarify the importance of the container dispatching system in informatization of river ports. And then, the system structure is designed based on distributed business intelligence. It contains four levels, Data source Layer, Data Warehouse Layer, Data service Layer and application Layer. The main modules are discussed in detail. At last, a KPI model is established to appraise the performance of this system. Findings and Originality/value: This paper develops an original container dispatching system based on distributed business intelligence. Through performance comparison and analysis before and after the system implementation in Whampoa, the system is proved to have a lot of real benefits: with the system, the resource utilization rate is improved and profitless operation and the cost are reduced; the system reduces the labor intensity and labor cost and optimizes the configuration of personnel; the system helps on dynamic decision-making; it provides a way for
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A container dispatching system for river ports based on distributed intelligent agent
Journal of Industrial Engineering and Management, 2013Co-Authors: Jingyuan Zeng, Zhenji Zhang, Xiaolan GuanAbstract:With the expansion of business scope of river ports, it demands higher loading and unloading efficiency. Automation, informatization and intelligentization become the only way to development of river ports. This paper establishes an informatization framework for river ports at first. The key process in river port is container dispatching. Therefore, this paper designs a container dispatching system based on business intelligence. It can be divided into four levels, Data source Layer, Data Warehouse Layer, Data service Layer and application Layer. The main modules are discussed in detail. At last, through performance comparison and analysis before and after the system implementation in Whampoa, the system is proved to have a lot of real benefits.
Zeineb Dhouioui - One of the best experts on this subject based on the ideXlab platform.
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ASONAM - Tracking dynamic community evolution in social networks
2014 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 2014Co-Authors: Zeineb Dhouioui, Jalel AkaichiAbstract:Healthcare social networking has known a prominent popularity. Nowadays, millions of healthcare communities are appeared. Community detection methods in social networks have essentially focused on static graphs neglecting the temporal characteristics of net-works. Recently, motivated by the dynamic nature of real world projected on virtual social networks, an increasing number of evolutionary properties of communities issues are considered by research community. In this work, we aim to present a study on social networks across the time axis i.e. temporal social networks and we propose an algorithm classifying changes and based on indicators, and also we integrate Data Warehouse Layer in order to have an over-view of all possible changes helpful for future analysis. The experimental results include an example of changes related to the apparition of diabetes in our country Tunisia.
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Tracking dynamic community evolution in social networks
2014 IEEE ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2014), 2014Co-Authors: Zeineb Dhouioui, Jalel AkaichiAbstract:Healthcare social networking has known a prominent popularity. Nowadays, millions of healthcare communities are appeared. Community detection methods in social networks have essentially focused on static graphs neglecting the temporal characteristics of networks. Recently, motivated by the dynamic nature of real world projected on virtual social networks, an increasing number of evolutionary properties of communities issues are considered by research community. In this work, we aim to present a study on social networks across the time axis i.e. temporal social networks and we propose an algorithm classifying changes and based on indicators, and also we integrate Data Warehouse Layer in order to have an over-view of all possible changes helpful for future analysis. The experimental results include an example of changes related to the apparition of diabetes in our country Tunisia.
