• Title/Summary/Keyword: Control Policy

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Adaptive QoS Policy Control using Fuzzy Controller in Policy-based Network Management (정책기반 네트워크 관리 환경에서 퍼지 컨트롤러를 이용한 적응적 QoS 정책 제어)

  • Lim, Hyung-J.;Jeong, Jong-Pil;Lee, Jee-Hyoung;Choo, Hyun-Seung;Chung, Tai-M.
    • The KIPS Transactions:PartC
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    • v.11C no.4
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    • pp.429-438
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    • 2004
  • This Paper Presents the control structure for incoming traffic from arbitrary node to Provide admission control in policy-based W network management structure using fuzzy logic control approach. The proposed control structure uses scheme for deciding network resource allocation depending on requirements predefined-policies and network states. The proposed scheme enhances policy adapting methods of existing binary methods, and can use resource of network more effectively to provide adaptive admission control, according to the unpredictable network states for predefined QoS policies. Simulation results show that the proposed controller improves the ratio of packet rejection up to 26%, because it Performs the soft adaption based on the network states instead of accept/reject action in conventional CAC(Connection Admission Controller).

The Determinants of Purchasing Private Health Insurance in Korean Cancer Patients (암 환자의 민간의료보험 가입 실태와 관련 요인)

  • Lim, Jin-Hwa;Kim, Sung-Gyeong;Lee, Eun-Mi;Bae, Sin-Young;Park, Jae-Hyun;Choi, Kui-Son;Hahm, Myung-Il;Park, Eun-Cheol
    • Journal of Preventive Medicine and Public Health
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    • v.40 no.2
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    • pp.150-154
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    • 2007
  • Objectives : The aim of this study is to identify factors determining the purchase of private health insurance under the mandatory National Health Insurance(NHI) system in Korea. Methods : The data were collected by the National Cancer Center in Korea. It includes cancer patients who were newly diagnosed with stomach (ICD code, C16), lung(C33-C34), liver (C22), colorectal cancer(C18-C20) or breast(C50) cancer. Data were gathered from the hospital Order Communication System (OCS), medical records, and face-to-face interviews, using a structured questionnaire. Clinical, socio-demographic and private health insurance related factors were also gathered. Results : Overall, 43.9% of patients had purchased one or more private health insurance schemes related to cancer, with an average monthly premium of \65,311 and an average benefit amount of \19million. Females, younger aged, high income earners, national health insurers and metropolitan citizens were more likely to purchase private health insurance than their counterparts. Conclusions : About half of Korean people have supple-mentary private health insurance and their benefits are sufficient to cover the out-of-pocket fees required for cancer treatment, but inequality remains in the purchase of private health insurance. Further studies are needed to investigate the impacts of private health insurance on NHI, and the relationship between cancer patients' burden and benefits.

Ciphertext Policy-Attribute Based Encryption with Non Monotonic Access Structures (비단조 접근 구조를 갖는 CP-ABE 방식)

  • Sadikin, Rifki;Moon, SangJae;Park, YoungHo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.50 no.9
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    • pp.21-31
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    • 2013
  • A ciphertext policy-attribute based encryption(CP-ABE) scheme can be used to realize access control mechanism without a trusted server. We propose an attribute-based access control mechanism by incorporating a CP-ABE scheme to ensure only authorized users can access the sensitive data. The idea of CP-ABE is to include access control policy in the ciphertexts, in which they can only be decrypted if a user possesses attributes that pass through the ciphertext's access structure. In this paper, we prove a secure CP-ABE scheme where the policy can be expressed in non-monotonic access structures. We further compare the performance of our scheme with the existing CP-ABE schemes.

Future Plan of Environmental Policy in Korea

  • Kim, Yoon-Shin
    • Proceedings of the Korean Environmental Health Society Conference
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    • 2005.12a
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    • pp.45-48
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    • 2005
  • In 2005, the KMOE and an advisory members for environmental health policy are exploring new environmental policy directions in the 21st century by suggesting a 10-year plan of environmental health policy with its specific goals, grounded on four basic principles: preemptive environmental control instead of post hoc facto control of environmental contaminants or discharged substances, receptor-centered approach, priority on protection of the people vulnerable and sensitive to environmental contamination, and warranty of citizens' rights to be engaged and informed. Such new policy challenges in the area of environmental health, which must be significant of important policy shift for environmental health in the 21t century, is expected to conduct to improvement of environmental health in Korea and Northeast Asian Regions as well.

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Establishing an Effective Governance System Is the Top Priority in Securing Competitiveness in the Biohealth Industry (바이오헬스정책, 거버넌스 구축이 최우선 과제이다)

  • Sun-Hee Lee
    • Health Policy and Management
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    • v.33 no.4
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    • pp.377-378
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    • 2023
  • The Yoon Suk Yeol administration is promoting the "Global Leap of the Biohealth Industry" as one of its 120 key national policies. Recently, the administration has been showing its commitment by establishing various strategies and presenting blueprints for policy implementation. However, the results felt on the ground are still not sufficient. The biohealth industry is a difficult field to generate policy effects because the related regulations are intricately intertwined and the diverse administrative tasks are scattered in various government departments, where inter-departmental interests differ. To solve this problem, an innovative governance system should be established. In order for the government's recent approach to establish a government-wide control tower to be effective, it should demonstrate a proactive policy commitment and be given practical power to coordinate the interests between departments.

Access Control Policy of Data Considering Varying Context in Sensor Fusion Environment of Internet of Things (사물인터넷 센서퓨전 환경에서 동적인 상황을 고려한 데이터 접근제어 정책)

  • Song, You-jin;Seo, Aria;Lee, Jaekyu;Kim, Yei-chang
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.9
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    • pp.409-418
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    • 2015
  • In order to delivery of the correct information in IoT environment, it is important to deduce collected information according to a user's situation and to create a new information. In this paper, we propose a control access scheme of information through context-aware to protect sensitive information in IoT environment. It focuses on the access rights management to grant access in consideration of the user's situation, and constrains(access control policy) the access of the data stored in network of unauthorized users. To this end, after analysis of the existing research 'CP-ABE-based on context information access control scheme', then include dynamic conditions in the range of status information, finally we propose a access control policy reflecting the extended multi-dimensional context attribute. Proposed in this paper, access control policy considering the dynamic conditions is designed to suit for IoT sensor fusion environment. Therefore, comparing the existing studies, there are advantages it make a possible to ensure the variety and accuracy of data, and to extend the existing context properties.

Explorized Policy Iteration For Continuous-Time Linear Systems (연속시간 선형시스템에 대한 탐색화된 정책반복법)

  • Lee, Jae-Young;Chun, Tae-Yoon;Choi, Yoon-Ho;Park, Jin-Bae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.3
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    • pp.451-458
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    • 2012
  • This paper addresses the problem that policy iteration (PI) for continuous-time (CT) systems requires explorations of the state space which is known as persistency of excitation in adaptive control community, and as a result, proposes a PI scheme explorized by an additional probing signal to solve the addressed problem. The proposed PI method efficiently finds in online fashion the related CT linear quadratic (LQ) optimal control without knowing the system matrix A, and guarantees the stability and convergence to the LQ optimal control, which is proven in this paper in the presence of the probing signal. A design method for the probing signal is also presented to balance the exploration of the state space and the control performance. Finally, several simulation results are provided to verify the effectiveness of the proposed explorized PI method.

An extended Access Control with Uncertain Context

  • Kang, Woojun
    • International journal of advanced smart convergence
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    • v.7 no.4
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    • pp.66-74
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    • 2018
  • While new information technology advances have made information access and acquisition methods much more diverse and easier, there are side effects that allow illegal access using diverse and high-performance tools. In order to cope with such threats, there are access control methods in database technology, and various studies are being conducted to extend traditional access control to cope with new computing environments. In this paper, we propose an extended access control with uncertain context-awareness. It enables appropriate security policy enforcement even if the contextual constraints specified by the security policy does not match those accompanied by access request query. We extract semantic implications from context tree, and define the argument that can quantitatively measure the semantic difference between two nodes in the context tree. It is used to semantically enforce the security policy, and to prevent the excessive authorization caused by the implication.

Performance Evaluation of Reinforcement Learning Algorithm for Control of Smart TMD (스마트 TMD 제어를 위한 강화학습 알고리즘 성능 검토)

  • Kang, Joo-Won;Kim, Hyun-Su
    • Journal of Korean Association for Spatial Structures
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    • v.21 no.2
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    • pp.41-48
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    • 2021
  • A smart tuned mass damper (TMD) is widely studied for seismic response reduction of various structures. Control algorithm is the most important factor for control performance of a smart TMD. This study used a Deep Deterministic Policy Gradient (DDPG) among reinforcement learning techniques to develop a control algorithm for a smart TMD. A magnetorheological (MR) damper was used to make the smart TMD. A single mass model with the smart TMD was employed to make a reinforcement learning environment. Time history analysis simulations of the example structure subject to artificial seismic load were performed in the reinforcement learning process. Critic of policy network and actor of value network for DDPG agent were constructed. The action of DDPG agent was selected as the command voltage sent to the MR damper. Reward for the DDPG action was calculated by using displacement and velocity responses of the main mass. Groundhook control algorithm was used as a comparative control algorithm. After 10,000 episode training of the DDPG agent model with proper hyper-parameters, the semi-active control algorithm for control of seismic responses of the example structure with the smart TMD was developed. The simulation results presented that the developed DDPG model can provide effective control algorithms for smart TMD for reduction of seismic responses.

National Cancer Control Plan of the Korea: Current Status and the Fourth Plan (2021-2025)

  • Kyu-Tae Han;Jae Kwan Jun;Jeong-Soo Im
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.3
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    • pp.205-211
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    • 2023
  • Cancer management has become a major policy goal for the government of the Korea. As such, the government introduced the National Cancer Control Plan (NCCP) to reduce the individual and social burdens caused by cancer and to promote national health. During the past 25 years, 3 phases of the NCCP have been completed. During this time, the NCCP has changed significantly in all aspects of cancer control from prevention to survival. The targets for cancer control are increasing, and although some blind spots remain, new demands are emerging. The government initiated the fourth NCCP in March 2021, with the vision of "A Healthy Country with No Concerns about Cancer Anywhere at Any Time," which aims to build and disseminate high-quality cancer data, reduce preventable cancer cases, and reduce gaps in cancer control. Its main strategies include (1) activation of cancer big data, (2) advancement of cancer prevention and screening, (3) improvement in cancer treatment and response, and (4) establishment of a foundation for balanced cancer control. The fourth NCCP has many positive expectations, similar to the last 3 plans; however, cross-domain support and participation are required to achieve positive results in cancer control. Notably, cancer remains the leading cause of death despite decades of management efforts and should continue to be managed carefully from a national perspective.