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A Study on the Strategy for Improvement of Operational Test and Evaluation of Weapon System and the Determination of Priority (무기체계 운용시험평가 개선전략 도출 및 우선순위 결정)

  • Lee, Kang Kyong;Kim, Geum Ryul;Yoon, Sang Don;Seol, Hyeon Ju
    • Convergence Security Journal
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    • v.21 no.1
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    • pp.177-189
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    • 2021
  • Defense R&D is a key process for securing weapons systems determined by mid- and long-term needs to cope with changing future battlefield environments. In particular, the test and evaluation provides information necessary to determine whether or not to switch to mass production as the last gateway to research and development of weapons systems and plays an important role in ensuring performance linked to the life cycle of weapons systems. Meanwhile, if you look at the recent changes in the operational environment of the Korean Peninsula and the defense acquisition environment, you can see three main characteristics. First of all, continuous safety accidents occurred during the operation of the weapon system, which increased social interest in the safety of combatants, and the efficient execution of the limited defense budget is required as acquisition costs increase. In addition, strategic approaches are needed to respond to future battlefield environments such as robots, autonomous weapons systems (RAS), and cyber security test and evaluation. Therefore, in this study, we would like to present strategies for improving the testing and evaluation of weapons systems by considering the characteristics of the security environment that has changed recently. To this end, the improvement strategy was derived by analyzing the complementary elements of the current weapon system operational test and evaluation system in a multi-dimensional model and prioritized through the hierarchical analysis method (AHP).

Functional Health Status and Medical Service Utilization Pattern of General and Vulnerable Older People in Community (지역사회 일반 및 취약계층 노인의 건강기능상태와 의료서비스 이용 행태)

  • Oh, Doonam;Jeong, Hyoseon;Hwang, Jeonghae
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.404-414
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    • 2021
  • This study was to investigate the differences of functional health status and medical service experience and needs between general and vulnerable older people in community. This study is a cross-sectional descriptive research. The data obtained through direct visit surveys from November to December 2016. The target population of the study was older people over 65 years old, the final study subjects were 444 older people residing in one district of Seoul. The chi-square test was conducted to confirm the difference in their functional health areas and medical service experiences, and the necessity of medical service utilization in accordance to the social class. In the experience of abnormality in functional health, the vulnerable older people had higher experience in cognitive function, nutrition, hydration, pain, and falling than the general older people. The rate of experience of using medical service to solve the cognitive function problem for general older people was 31.9%, higher than that of the vulnerable older people. In contrast, the medical service utilization needs of the vulnerable older people in the pain management category was significantly higher than that of the general older people. In setting policy of public medical service programs for general and vulnerable older people in community may be differentially developed based on this study. In order to improve the medical accessibility of the vulnerable older people, public medical institutions should be actively supported to overcome obstacles to medical use due to economic barriers.

A Study on Adopting job Guarantee System as Expanding Universal Welfare: Focusing upon the Case in Kwangju Metropolitan City (보편복지 확장을 위한 '일자리보장제'도입 방안 연구: 광주광역시 사례를 중심으로)

  • Kim, Mi-Kyong;Kim, Sin-Young
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.429-433
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    • 2022
  • We analyzed both current local policies and in-depth survey data to find out a way to provide job opportunity and income source to local young people in so-called job guarantee system. The young generation in current Korean society has been experiencing both growth without employment and severe economic inequality at the same time, though they should have taken part actively in social development. Their rights for work and survival have also been threatened and losing hope for the future is an widespread symptom in this generation. Kwangju metropolitan city(KMC) has been supporting certain amount of case income and job experience to young people in Kwangju through a local government policy called Kwangju Young Generation Job Experience Dream Service. In spite of high level of satisfaction from the participants, limitations such as below average job performance level of participants and a barrier in the transition to regular position still remain. This study hopes that a case of Kwangju gives pragmatic insights for a realizable path to expanding universal welfare through assuring job opportunity to the young generation in local area.

A qualitative study on the adjustment process of families adopting an older child (연장입양가족의 적응과정에 대한 질적 연구 : 주 양육자인 입양모의 입장에서)

  • Chung, Ick-Joong;Kwon, Ji-Sung;Min, Sung-Hye;Shin, Hye-Won
    • Korean Journal of Social Welfare Studies
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    • v.42 no.1
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    • pp.399-432
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    • 2011
  • The purpose of this study is to understand the adjustment process of families adopting an older child, and to generate a substantial theory. To achieve this purpose, we conducted in-depth interviews with mothers adopting an older child and analyzed data with qualitative analysis approach. From the analysis, theoretical model has been made, and the model includes the adoptive families' diverse experiences, barriers to adjustment as well as resources and strategies that they mobilized and used for smooth adjustment. Their experiences in the process of adjustment consisted of five phases: unfamiliar meeting, shock, fighting alone without support, control, and stability. Barriers to adjustment process were composed of adoptees' problem behaviors, loss of time, lack of preparation, lack of experiences, repetition of the vicious circle, withstanding alone, improper resources, lack of support, and being criticized. Resources and strategies that families adopting an older child utilized were individual resources and ability such as rearing experiences, intellectual ability, willingness, belief, and perspective change; family system such as spouse and other offsprings; informal support system such as extended families, relatives, friends, neighbors, and other families adopting an older child; formal resources such as adoption workers and helping professionals. From our results, we suggested policy and practice guidelines to help adjustment experiences for families adopting an older child.

Enhancing Throughput and Reducing Network Load in Central Bank Digital Currency Systems using Reinforcement Learning (강화학습 기반의 CBDC 처리량 및 네트워크 부하 문제 해결 기술)

  • Yeon Joo Lee;Hobin Jang;Sujung Jo;GyeHyun Jang;Geontae Noh;Ik Rae Jeong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.1
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    • pp.129-141
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    • 2024
  • Amidst the acceleration of digital transformation across various sectors, the financial market is increasingly focusing on the development of digital and electronic payment methods, including currency. Among these, Central Bank Digital Currencies (CBDC) are emerging as future digital currencies that could replace physical cash. They are stable, not subject to value fluctuation, and can be exchanged one-to-one with existing physical currencies. Recently, both domestic and international efforts are underway in researching and developing CBDCs. However, current CBDC systems face scalability issues such as delays in processing large transactions, response times, and network congestion. To build a universal CBDC system, it is crucial to resolve these scalability issues, including the low throughput and network overload problems inherent in existing blockchain technologies. Therefore, this study proposes a solution based on reinforcement learning for handling large-scale data in a CBDC environment, aiming to improve throughput and reduce network congestion. The proposed technology can increase throughput by more than 64 times and reduce network congestion by over 20% compared to existing systems.