The Experts below are selected from a list of 105 Experts worldwide ranked by ideXlab platform

Yongtae Shin - One of the best experts on this subject based on the ideXlab platform.

  • ICOIN - Study on information security sharing system among the industrial IoT service and Product Provider
    2018 International Conference on Information Networking (ICOIN), 2020
    Co-Authors: Jongsoek Choi, Yongtae Shin
    Abstract:

    : IoT is being applied to various industries, and market activation is in full swing in home-appliance, medical, and transportation fields closely related to life. However, IoT can be extended to the real world because the application field is directly linked to all things in our real life. Currently, security vulnerabilities of various industries are reported in various fields, but only security requirements exist, but there is no technical countermeasure, and policy issues and security matters are discussed only in the field of standardization. Therefore, in order to cope with the widespread infringement accidents, information security sharing system in the IoT environment that can be applied directly in the field is needed. In this paper, we set up the functional requirements in the IoT information security sharing system in order to confirm the functions to be performed between the individuals in the reference model of the IoT information security sharing system.

  • Study on information security sharing system among the industrial IoT service and Product Provider
    2018 International Conference on Information Networking (ICOIN), 2018
    Co-Authors: Jongsoek Choi, Yongtae Shin
    Abstract:

    IoT is being applied to various industries, and market activation is in full swing in home-appliance, medical, and transportation fields closely related to life. However, IoT can be extended to the real world because the application field is directly linked to all things in our real life. Currently, security vulnerabilities of various industries are reported in various fields, but only security requirements exist, but there is no technical countermeasure, and policy issues and security matters are discussed only in the field of standardization. Therefore, in order to cope with the widespread infringement accidents, information security sharing system in the IoT environment that can be applied directly in the field is needed. In this paper, we set up the functional requirements in the IoT information security sharing system in order to confirm the functions to be performed between the individuals in the reference model of the IoT information security sharing system.

Jongsoek Choi - One of the best experts on this subject based on the ideXlab platform.

  • ICOIN - Study on information security sharing system among the industrial IoT service and Product Provider
    2018 International Conference on Information Networking (ICOIN), 2020
    Co-Authors: Jongsoek Choi, Yongtae Shin
    Abstract:

    : IoT is being applied to various industries, and market activation is in full swing in home-appliance, medical, and transportation fields closely related to life. However, IoT can be extended to the real world because the application field is directly linked to all things in our real life. Currently, security vulnerabilities of various industries are reported in various fields, but only security requirements exist, but there is no technical countermeasure, and policy issues and security matters are discussed only in the field of standardization. Therefore, in order to cope with the widespread infringement accidents, information security sharing system in the IoT environment that can be applied directly in the field is needed. In this paper, we set up the functional requirements in the IoT information security sharing system in order to confirm the functions to be performed between the individuals in the reference model of the IoT information security sharing system.

  • Study on information security sharing system among the industrial IoT service and Product Provider
    2018 International Conference on Information Networking (ICOIN), 2018
    Co-Authors: Jongsoek Choi, Yongtae Shin
    Abstract:

    IoT is being applied to various industries, and market activation is in full swing in home-appliance, medical, and transportation fields closely related to life. However, IoT can be extended to the real world because the application field is directly linked to all things in our real life. Currently, security vulnerabilities of various industries are reported in various fields, but only security requirements exist, but there is no technical countermeasure, and policy issues and security matters are discussed only in the field of standardization. Therefore, in order to cope with the widespread infringement accidents, information security sharing system in the IoT environment that can be applied directly in the field is needed. In this paper, we set up the functional requirements in the IoT information security sharing system in order to confirm the functions to be performed between the individuals in the reference model of the IoT information security sharing system.

Huchang Liao - One of the best experts on this subject based on the ideXlab platform.

  • probabilistic linguistic vector term set and its application in group decision making with multi granular linguistic information
    Applied Soft Computing, 2016
    Co-Authors: Yuling Zhai, Zeshui Xu, Huchang Liao
    Abstract:

    Display Omitted The concept of probabilistic linguistic vector-term set (PLVTS) is proposed to consider the score of linguistic term and its associated change rate simultaneously.A novel algorithm is developed to aid MAGDM with multiple linguistic evaluation scales to deal with the large group decision making with linguistic terms at the aspect of patients.Demonstrate the practical guiding significance for the Product-Provider (such as the hospital). With the rapid information explosion and sharing, recommender systems (RS) play an auxiliary role in assisting the Internet users to make decision especially in the e-service platform. Normally, the information in this process is related to opinions and preferences, which are usually expressed through a qualitative way such as linguistic evaluation terms (LETs). However, the LETs may come from different sources such as experts, users, etc., which makes the linguistic evaluation scales (LESs) used in this process probably be different due to their different backgrounds and levels of knowledge. The diversity and flexibility of these LESs determine the quality of information, and further affect the effectiveness of a RS. In this paper, we focus on improving the accuracy of the multi-granular linguistic recommender system by supporting customers to find out the most eligible items according their own preferences. We first propose the probabilistic linguistic vector-term sets (PLVTSs) to promote the application of multi-granular linguistic information. Based on the PLVTSs, we then develop a novel algorithm to tackle multi-attribute group decision making (MAGDM) problems with multiple LESs. Furthermore, the effectiveness of the PLVTSs is validated by an illustration of personalized hospital selection-recommender problem. Finally, we point out some possible research directions regrading to the PLVTSs.

Yuling Zhai - One of the best experts on this subject based on the ideXlab platform.

  • probabilistic linguistic vector term set and its application in group decision making with multi granular linguistic information
    Applied Soft Computing, 2016
    Co-Authors: Yuling Zhai, Zeshui Xu, Huchang Liao
    Abstract:

    Display Omitted The concept of probabilistic linguistic vector-term set (PLVTS) is proposed to consider the score of linguistic term and its associated change rate simultaneously.A novel algorithm is developed to aid MAGDM with multiple linguistic evaluation scales to deal with the large group decision making with linguistic terms at the aspect of patients.Demonstrate the practical guiding significance for the Product-Provider (such as the hospital). With the rapid information explosion and sharing, recommender systems (RS) play an auxiliary role in assisting the Internet users to make decision especially in the e-service platform. Normally, the information in this process is related to opinions and preferences, which are usually expressed through a qualitative way such as linguistic evaluation terms (LETs). However, the LETs may come from different sources such as experts, users, etc., which makes the linguistic evaluation scales (LESs) used in this process probably be different due to their different backgrounds and levels of knowledge. The diversity and flexibility of these LESs determine the quality of information, and further affect the effectiveness of a RS. In this paper, we focus on improving the accuracy of the multi-granular linguistic recommender system by supporting customers to find out the most eligible items according their own preferences. We first propose the probabilistic linguistic vector-term sets (PLVTSs) to promote the application of multi-granular linguistic information. Based on the PLVTSs, we then develop a novel algorithm to tackle multi-attribute group decision making (MAGDM) problems with multiple LESs. Furthermore, the effectiveness of the PLVTSs is validated by an illustration of personalized hospital selection-recommender problem. Finally, we point out some possible research directions regrading to the PLVTSs.

Yves Sallez - One of the best experts on this subject based on the ideXlab platform.

  • Proposition of a holonic approach to model the information chain from Product to stakeholder
    2019 6th International Conference on Control Decision and Information Technologies (CoDIT), 2019
    Co-Authors: Vivien Basselot, Thierry Berger, Yves Sallez
    Abstract:

    In the field of Product Lifecycle Management, the gaps in terms of Product Usage Data collection and exploitation must be addressed. Meeting the need for data from the phases after the Beginning-of-Life is very critical for the Product Provider (and stakeholders in general) to improve the Product, optimize costs, and be competitive. Based on previous studies on the concept of “active” Product, the proposition models the information chain from the Product to the stakeholder. This model considers the Product and its context composed of the user, task, and environment. It exploits a holonic view of the Product and a dynamic informational structure to store the data, information, and knowledge collected on the Product and its context during various instances of usage. The proposed model is applied to the diagnosis of a door system in the field of railway transportation. Two scenarios provide “rule-based” and “knowledge-based” examples.

  • CoDIT - Proposition of a holonic approach to model the information chain from Product to stakeholder
    2019 6th International Conference on Control Decision and Information Technologies (CoDIT), 2019
    Co-Authors: Vivien Basselot, Thierry P. Berger, Yves Sallez
    Abstract:

    In the field of Product Lifecycle Management, the gaps in terms of Product Usage Data collection and exploitation must be addressed. Meeting the need for data from the phases after the Beginning-of-Life is very critical for the Product Provider (and stakeholders in general) to improve the Product, optimize costs, and be competitive. Based on previous studies on the concept of “active” Product, the proposition models the information chain from the Product to the stakeholder. This model considers the Product and its context composed of the user, task, and environment. It exploits a holonic view of the Product and a dynamic informational structure to store the data, information, and knowledge collected on the Product and its context during various instances of usage. The proposed model is applied to the diagnosis of a door system in the field of railway transportation. Two scenarios provide “rule-based” and “knowledge-based” examples.