• Title/Summary/Keyword: technology level evaluation

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Node-Level Trust Evaluation Model Based on Blockchain in Ad Hoc Network

  • Yan, Shuai-ling;Chung, Yeongjee
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.169-178
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    • 2019
  • Due to the characteristics of an ad hoc network without a control center, self-organization, and flexible topology, the trust evaluation of the nodes in the network is extremely difficult. Based on the analysis of ad hoc networks and the blockchain technology, a blockchain-based node-level trust evaluation model is proposed. The concepts of the node trust degree of the HASH list on the blockchain and the perfect reward and punishment mechanism are adopted to construct the node trust evaluation model of the ad hoc network. According to the needs of different applications the network security level can be dynamically adjusted through changes in the trust threshold. The simulation experiments demonstrate that ad-hoc on-demand distance vector(AODV) Routing protocol based on this model of multicast-AODV(MAODV) routing protocol shows a significant improvement in security compared with the traditional AODV and on-demand multipath distance vector(AOMDV) routing protocols.

Psycho-acoustic evaluation of the indoor noise in cabins of a naval vessel using a back-propagation neural network algorithm

  • Han, Hyung-Suk
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.4 no.4
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    • pp.374-385
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    • 2012
  • The indoor noise of a ship is usually determined using the A-weighted sound pressure level. However, in order to better understand this phenomenon, evaluation parameters that more accurately reflect the human sense of hearing are required. To find the level of the satisfaction index of the noise inside a naval vessel such as "Loudness" and "Annoyance", psycho-acoustic evaluation of various sound recordings from the naval vessel was performed in a laboratory. The objective of this paper is to develop a single index of "Loudness" and "Annoyance" for noise inside a naval vessel according to a psycho-acoustic evaluation by using psychological responses such as Noise Rating (NR), Noise Criterion (NC), Room Criterion (RC), Preferred Speech Interference Level (PSIL) and loudness level. Additionally, in order to determine a single index of satisfaction for noise such as "Loudness" and "Annoyance", with respect to a human's sense of hearing, a back-propagation neural network is applied.

Development of Organization-level Evaluation Model and Process for Information Systems Quality (조직 수준의 정보시스템 품질평가 모형과 절차 개발)

  • Lee, Sang-Ho;Cho, Sung-Rim;Ahn, Byung-Oh
    • Journal of Information Technology Services
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    • v.7 no.4
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    • pp.151-165
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    • 2008
  • This study suggests the organization-level standard(model and process) for quality evaluation of information systems(IS) in non-use organizations despite international standards(ISO/IEC 9126 and ISO/IEC 14598) and national standards(KS X 9126 and KS X 14598) related to quality evaluation of IS. The standard in this study is composed of quality evaluation processes, a quality model, and quality metrics. The weights of the attributes and the sub-attributes in the quality model were calculated by an analytic hierarchy process(AHP). The minimum level and the target level of each metrics were determined by brainstorming of the committee. Furthermore, the case study for the investigation of the applicability and the usability of the suggested organizational standard in the real IS development project was performed. For gaining significant benefits of the standard, both the diffusion and the experience accumulation by its continuous use are needed.

Developing an Evaluation Model of Webcasting Sites (웹캐스팅 사이트 평가모델 개발)

  • Suh, Yung-Ho;Lee, Hyun-Soo
    • Asia pacific journal of information systems
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    • v.11 no.3
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    • pp.43-62
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    • 2001
  • The purpose of this research is to develop a webcasting site evaluation model, to estimate the relative importance of factors affecting the performance of webcasting sites, and to derive the CSFs of the sites. Evaluation model consists of 6 first-level evaluation factors and 23 second-level evaluation factors. This study compares the evaluation scores of website with those of the customer satisfaction. We inspect seven hypotheses. Hypothesis)(H1) tests correlation of the evaluation scores of website and those of the customer satisfaction. Hypothesis2(H2)$\sim$Hypothesis7(H7) tests if 6 first-level factors(planning, program & form, design, technology, interface, content) have an impact on customer satisfaction. In order to test the hypotheses, correlation analysis and regression analysis are performed. As a result of empirical tests, all Hypotheses$(H1){\sim}H7)$ are accepted and its implications are discussed.

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A Study on the Development and Institutionalization Plan of a Quantitative Evaluation Model of Defense Quality Management System (국방품질경영체제(DQMS) 정량평가모델 개발 및 제도화 방안 연구)

  • Kim, Young Hyun;Ha, Jin Shik
    • Journal of Korean Society for Quality Management
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    • v.50 no.2
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    • pp.183-197
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    • 2022
  • Purpose: The purpose of this study is to develop a quantitative evaluation model for the defense quality management system and suggest institutionalization plans. To this end, another existing evaluation model was reviewed and analyzed to develop a quantitative evaluation model applicable to military institutions. Methods: In this study, in order to establish a DQMS quantitative evaluation model, a military product quality level survey model and a defense quality model operated in the defense field were analyzed. In addition, evaluation models and indicators were analyzed by investigating evaluation models operated by other institutions and private sectors. Results: As a result of the study, the total score of the DQMS model was 1,000 points, 600 points for maturity level indicators and 400 points for operation performance indicators, and the evaluation items consisted of 7 major categories and 25 middle categories. The maturity level index 600 points are 70 points for organizational situation, 60 points for leadership, 40 points for planning, 100 points for support, 180 points for operation, 90 points for performance evaluation, and 60 points for improvement. Conclusion: It will be easy to quantify and evaluate the operating level of DQMS certified companies through the application of the DQMS quantitative evaluation model and evaluation criteria presented in this study. As a result, it will be possible to grasp the level of quality management system and the areas of improvement, and the overall level of improvement can be expected by inducing voluntary improvement activities through sharing of best practices and identifying improvement cases.

Prototype Implementation of Control Board for Vehicle V2X Communication Performance Evaluation (자동차 V2X 통신성능 평가를 위한 제어 보드 프로토타입 구현)

  • Yoowon Kim;Byeongchan Jo;Hyuk Jung
    • Journal of Auto-vehicle Safety Association
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    • v.15 no.2
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    • pp.28-34
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    • 2023
  • The Republic of Korea aims to complete the commercialisation of Level 4+ cooperative autonomous driving in 2027. It also plans to include V2X OBU in the K-NCAP evaluation items. Therefore, communication performance safety evaluation criteria for V2X OBU need to be established, and an OBU with necessary functions is needed to develop V2X communication performance safety evaluation technology for vehicles. In this study, we implemented a V2X OBU control board prototype that can be used to develop a V2X communication performance safety evaluation technology for Level 4+ autonomous vehicles, and confirmed that the control board prototype works normally.

Evaluation of the Effectiveness of the Air Force LVC Training System Using AHP (AHP를 활용한 공군 LVC 합성전장훈련체계 효용성 평가)

  • Jaehong Lee;Byungho Jung;Namkyu Lim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.4
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    • pp.209-217
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    • 2023
  • In this study, the evaluation items related to the effectiveness evaluation of the LVC (Live, Virtual, Constructive) training system of the Air Force were derived and the weights of each item were analyzed. The LVC training system evaluation items for AHP (Analytic Hierarchy Process) analysis were divided into three layers, and according to the level, 3 items were derived at level 1, 11 items at level 2, and 33 items at level 3. For weight analysis of evaluation items, an AHP-based pairwise comparison questionnaire was conducted for Air Force experts related to the LVC training system. As a result of the survey, related items such as (1) Achievement of education and training goals (53.8%), (1.2) Large-scale mission and operational performance (25.5%), and (1.2.1) Teamwork among training participants (19.4%) was highly rated. Also, it was confirmed that the weights of evaluation items were not different for each expert group, that is, the priority for importance was evaluated in the same order between the policy department and the working department. Through these analysis results, it will be possible to use them as evaluation criteria for new LVC-related projects of the Air Force and selection of introduction systems.

R&D Transitions in Response to Digital Transformation in Korea

  • Lim, Jongyeon;Lee, BangRae;Won, Dongkyu
    • Journal of Information Science Theory and Practice
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    • v.10 no.spc
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    • pp.96-111
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    • 2022
  • With the rapid development of the Fourth Industrial Revolution and digital transformation, scientific and technological innovation measures are being devised to overcome Korea's low-growth, high-cost structure. Accordingly, by examining the R&D investment evaluation system of R&D PIE (R&D Platform for Investment and Evaluation), which has been promoted by the Korean government in response to the Fourth Industrial Revolution, from the perspective of R&D transformation, this study aims to explore a new path for a sustainable national science and technology innovation system following digital transformation. In particular, from the perspective of R&D PIE, a MLP (Multi-level Perspective), which had been conducted as an abstract theoretical study, was attempted with specific cases and analysis for each of the three layers: niche, landscape, and regime. In conclusion, R&D PIE was intended to elevate the abstract R&D investment evaluation system to a platform that leads innovation in the digital space of the Fourth Industrial Revolution. In addition, it was confirmed that the R&D PIE could be replaced or enhanced as a platform for innovation in response to the Fourth Industrial Revolution, thereby providing an alternative to job creation and an escape from economic crisis.

The Development of Evaluation Indicators for the Performance of Defense Core-Technology R&D Projects Using SMR/AHP (SMR/AHP 기법을 활용한 국방핵심기술 연구개발사업 성과평가지표 개발)

  • Lee, Hyung-Jun;Kim, Chan-Soo;Kim, Woo-Je
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.1
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    • pp.70-79
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    • 2009
  • Currently, the investment on Research and Development(R&D) for defense core technology is continuously increasing to maintain advanced country's R&D level. In accordance with this trend, the national defense R&D investment management system is being more strengthening, and importance of performance evaluation is being emphasized more and more. However, the existing indicators of performance evaluation for defense core technology R&D is limited in efficient management because of the qualitative evaluation items and subjective allocation of points. In this paper, we developed a novel indicator for defense core technology R&D performance evaluation through domestic and foreign related literature and inquiry, brainstorming, and analysis techniques by Stepwise Multiple linear Regression(SMR) and Analytic Hierarchy Process(AHP). And we verified effectiveness of proposed indicators of performance evaluation by comparing with the existing evaluation indicators. Our proposed indicators for performance evaluation will create superiority performance on defense R&D fields.

Evaluation and Selection Method of Best Available Techniques for Integrated Environmental Management System (통합환경관리제도 운영을 위한 최적가용기법 평가·선정기법 연구)

  • Park, Jae Hong
    • Journal of Korean Society on Water Environment
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    • v.33 no.3
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    • pp.348-358
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    • 2017
  • The process of evaluating and selecting the best available techniques presents various characteristics for each country. In the case of EU, BAT is selected through TWG meeting after first screening, mass and energy balance, impact assessment and decision support process. Korea has proposed four principles to select BAT that can be carbon neutral for each environmental infrastructure in order to reduce greenhouse gas emissions. In order to evaluate and select the best available technique, it is necessary to differentiate the method according to whether it is a technique generally applied at the current workplace, whether it is a single technique or a combination technique, and whether it is a technology technique or management technique. In the case of a single technique, it should be evaluated whether it is a technique applied in the workplace, excessive cost, superior environmental technique over BAT, and secondary environmental pollution. In the case of multiple techniques, it is necessary to examine whether the emission standards are met and whether the pollutants can be treated at the same level as BAT. In the case of BAT candidates for management techniques, whether or not they contribute directly or indirectly to lowering the emission level of pollutants can be an important evaluation item. In the case of environmental techniques that are not generally applied in the workplace, it is recommended that the following 8 steps be carried out, including those prescribed by law. In the first stage, the list of performance evaluation factors is listed. In the second stage, the level of disposal of pollutants and the level of satisfaction with standards are listed. In the third stage, the environmental evaluation elements are listed. In the fourth stage, Is to list the economic evaluation elements, step 6 is to list the pollution and accident prevention evaluation factors, step 7 is the quantitative evaluation of the technical working group, and step 8 is BAT confirmation through deliberation of the central environmental policy committee.