• Title/Summary/Keyword: 階層區分

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Study on the Effectiveness of Korean Active Labour Market Polices (재정지원 일자리사업의 정책효과성 추정)

  • Chon, Joo-Yong;Jun, Jaesik
    • Journal of Labour Economics
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    • v.40 no.1
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    • pp.99-132
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    • 2017
  • This study examines the employability of participants and employment outcomes in the Korean active labor market policies(ALMPs). The data used in empirical testing is Korea Labor and Income Panel Study 1~15th survey data, participants database in ALMPs and Unemployment Insurance database. The main results are as follows. Level of employability in participants with ALMPs is about 56.3 and that of participants with direct job creation(DJC) programs shows the most low level in sub-type of ALMPs. About 30.8% of all people participating in ALMPs belongs to vulnerable group and 71.5% of participants in DJC programs is in vulnerable group. In DJC programs, the participants with low level of employability are some more likely to be in vulnerable group. As the level of employability in participants with DJC programs increases, their job-search time after moved in labor market reduces and their duration of employment increases. To summarize, one can imply that the DJC programs are effective to transit vulnerable groups in labour market and improve the labor market outcomes by enhancing the employability of participants.

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Semantic Clustering of Predicates using Word Definition in Dictionary (사전 뜻풀이를 이용한 용언 의미 군집화)

  • Bae, Young-Jun;Choe, Ho-Seop;Song, Yoo-Hwa;Ock, Cheol-Young
    • Korean Journal of Cognitive Science
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    • v.22 no.3
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    • pp.271-298
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    • 2011
  • The lexical semantic system should be built to grasp lexical semantic information more clearly. In this paper, we studied a semantic clustering of predicates that is one of the steps in building the lexical semantic system. Unlike previous studies that used argument of subcategorization(subject and object), selectional restrictions and interaction information of adverb, we used sense tagged definition in dictionary for the semantic clustering of predicate, and also attempted hierarchical clustering of predicate using the relationship between the generic concept and the specific concept. Most of the predicates in the dictionary were used for clustering. Total of 106,501 predicates(85,754 verbs, 20,747 adjectives) were used for the test. We got results of clustering which is 2,748 clusters of predicate and 130 recursive definition clusters and 261 sub-clusters. The maximum depth of cluster was 16 depth. We compared results of clustering with the Sejong semantic classes for evaluation. The results showed 70.14% of the cohesion.

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Deriving Priorities of Competences Required for Digital Forensic Experts using AHP (AHP 방법을 활용한 디지털포렌식 전문가 역량의 우선순위 도출)

  • Yun, Haejung;Lee, Seung Yong;Lee, Choong C.
    • The Journal of Society for e-Business Studies
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    • v.22 no.1
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    • pp.107-122
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    • 2017
  • Nowadays, digital forensic experts are not only computer experts who restore and find deleted files, but also general experts who posses various capabilities including knowledge about processes/laws, communication skills, and ethics. However, there have been few studies about qualifications or competencies required for digital forensic experts comparing with their importance. Therefore, in this study, AHP questionnaires were distributed to digital forensic experts and analyzed to derive priorities of competencies; the first-tier questions which consisted of knowledge, technology, and attitude, and the second-tier ones which have 20 items. Research findings showed that the most important competency was knowledge, followed by technology and attitude but no significant difference was found. Among 20 items of the second-tier competencies, the most important competency was "digital forensics equipment/tool program utilization skill" and it was followed by "data extraction and imaging skill from storage devices." Attitude such as "judgment," "morality," "communication skill," "concentration" were subsequently followed. The least critical one was "substantial law related to actual cases." Previous studies on training/education for digital forensics experts focused on law, IT knowledge, and usage of analytic tools while attitude-related competencies have not given proper attention. We hope this study can provide helpful implications to design curriculum and qualifying exam to foster digital forensic experts.

A development of the Vehicle-To-Vehicle communication system using the Dedicated Short Range Communication technology (근거리 무선통신 기술 기반 차량간통신 시스템 개발)

  • Rhee Eung-Ho
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.43 no.9 s.351
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    • pp.6-13
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    • 2006
  • In this paper, we studied vehicle to vehicle (VTV) communication system using DSRC of 5.8 GHz bands. Nowadays, in the road traffic system is going intelligent and advancing, communication between driving vehicle is very important technology for ITS. We can contrive smoothness and safety traffic flowing by exchanging information about velocity, location, braking and driving condition of nearby vehicles. Therefore, we developed and verified the system which required for the communication among vehicles using DSRC technology of 5.8 GHz band hasa 1 Mbps data rate in the high mobility condition. For this, we developed DSRC modem, data link layer and logic link layer to make it possible that communication between vehicles of perfectly operation, and developed application service program for VTV communication. We performed to communication test in the general road and ascent road. In case of the general mad, obtained VTV communication results are more than number of 17 with in 300 m LOS coverage, and total communication time are $2.34{\sim]18.7$ msec that considered maximum 8-transaction. We blow that obtained results can be used VTV communication or the in areas form the feasibility road test as a function or various conditions. In the future, this system is very useful of advanced safety vehicle (ASV) and super smart vehicle system (SSVS) and so on.

Development of Multiclass Assignment For Dynamic Route Guidance Strategy (동적 경로안내전략수행을 위한 다계층 통행배정모형의 개발)

  • Lee, Jun;Lim, Kang-Won;Lee, Young-Ihn;Lim, Yong-Taek
    • Journal of Korean Society of Transportation
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    • v.22 no.7 s.78
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    • pp.91-98
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    • 2004
  • This study focuses on the development of dynamic assignment for evaluation and application for dynamic route guidance strategy. Travelers are classified according to information contents which they received pre/on trip. The first group have no traffic information, so they travel with fixed route. The second group have real-time shortest path and travel according to it. The last group have car navigation system or individual method(cellular phone, PDA-two way communication available) for traffic information on trip. And then they are assigned in accordance with the proposed multiclass dynamic assignment model. At this time the last group is gotten under control with DFS(decentralized feedback strategy). In use of this Process we expect that various traffic information strategy can be tested and also be the key factor for success of ITS, location of VMS(variable message sign), cycle of information, area of traffic information, etc).

A Study on Technology Priorities for Green Highway (녹색도로 구현을 위한 기술 우선순위 결정에 관한 연구)

  • Lee, Yu-Hwa;Cho, Won-Bum;Kim, Se-Hwan
    • International Journal of Highway Engineering
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    • v.14 no.3
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    • pp.151-162
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    • 2012
  • It is not surprising to hear news about irresistible natural disasters all over the world due to climate change. Korean Government has focused on developing a variety of green technologies to reduce green house gasses, in particular, carbon dioxide. This study suggested 18 technology divisions for achieving green highway technology development in six different sub-sectors considering life-cycle of roadway and surveyed 29 highway and/or transportation professionals of three institutes using AHP(Analytical Hierarchy Process) analysis to construct "Green Highway"and realize carbon emission reductions and energy use efficiency in a road sector in Korea. Expert Choice Software was used to rank 18 technology divisions weighted by two-level choices. Transport Operating Infrastructure Improvement, Roadway Policy Implementation, Green Transportation(such as Pedestrian and Bicycle) were highly ranked by respondents according to results of the AHP modeling. Among the 18 divisions, technology policy for supporting R&D investments from development to commercialization was ranked as the most significant one to be focused. Green Transportation Facility Design/Construction/Operation and Eco-Friendly Roadway Plan were followed as expected since professionals have thought that the planning/design step of the life-cycle is a starting point to reduce carbon dioxide from roads more and more. Additionally, comparing the results with the Government investment trend 2006-2011 for the roads, it can be interpreted that the Government should invest to the R&D area more widely than before to promote element and core technology development for Green Highway Construction. Above all, small and mid-sized businesses have to be invested as well as encouraged to undertake green highwayrelated objects to accomplish the divisions which ranked high.

Group Key Generation Scheme using Logical Operation of HashChain and Random Number in Hierarchy Structures (계층 구조에서의 해쉬 체인과 랜덤난수의 논리 연산을 이용한 그룹키 생성 기법)

  • Kim, Hyun-Chul;Lee, Young-Gu;Kim, Jung-Jae;Lee, Kwang-Hyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.5
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    • pp.1693-1701
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    • 2010
  • In this paper, requirements of efficient group key creation in multiple hierarchy structure environment with clear distinction of hierarchical roles within organizations are explained and the method of creating a group key that satisfies such requirements is proposed. The proposed method creates the group key through logical sum operation of hierarchy identifier created using uni-directional hash chain and group identifier randomly created according to the access right. The problem of excessive possession of key information by upper group users in the existing static group key creation technique was resolved. At the same time, lower group users were prevented from deducing key information of upper group users. In addition, as a result of comparative analysis performed with an experiment on existing super group key creation technique and multiple hierarchy group key method, the proposed method was found to be equivalent or superior to existing method in terms of various items including the total number of keys created, the number of keys possessed by users, the number of keys used for encoding and decoding of information, and expandability of keys.

Estimating Car-sharing Demand of Young People for Parking-Free Apartment House in the Future (미래형 공동주택의 청년계층 카셰어링 이용수요 분석)

  • Shin, Doh Kyoum;Kee, Hoyoung;Byun, Wanhee
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.19 no.5
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    • pp.119-137
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    • 2020
  • Over the last two decades, the attitudes to cars have changed from buying a car to sharing a car, especially among young people. Shared transport services and autonomous vehicles together can resolve the accessibility issue of shared transport services. Furthermore, they will make it possible to develop a new model of apartments without car parking. Therefore, the study estimated the demand for car sharing by young people and the running efficiency of car-sharing dealing with their car-based trip demand. The study chose nine apartment complexes for study sites where a majority of the residents were young people. The questionnaire survey was conducted to collect data on the trip demands of young people. The results showed that there are significant differences in the car-sharing use patterns and demand between the apartment houses located in the Capital region and non-capital region. Young people living in apartments in the Capital region used car sharing once per day per person for approximately 80 minutes per trip and tended to hire that between 8 AM and 10 AM. On the other hand, the young people living in apartments in the non-capital region used car sharing twice per day per person for approximately 200 minutes per trip. They tended to hire that frequently in the afternoon and evening as well as in the morning. The results also showed that a single car-sharing vehicle could deal with 3~4 trips per day in the Capital region and around 2 trips per day in the non-capital region.

Study of the Priority of Baby Boomer Policy: Emotional Psychology through Analytic Hierarchy (AHP 분석방법을 통한 감성심리 기반의 베이비부머 정책 우선순위 결정)

  • Kang, Ju-Ree;Lee, Chung-Real;Hwang, Du-Kyung
    • Science of Emotion and Sensibility
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    • v.22 no.1
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    • pp.77-88
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    • 2019
  • As the social interest of the Baby Boomer generation is increasing, this study derives implications for lifelong education policy through identification of the need and support for lifelong education among baby boomers lifelong learning, taking into account such aspects of quality of life as emotional psychology-based self-development and self-realization. To optimally explore support for lifelong learning for the baby-boomer generation, first-tier (top-level), sixth-tier (bottom-level), and five-other evaluation criteria were available. For the first layer, we examined whether potentiality or realizability was more desirable, and for the second layer, detailed criteria for realizability were set up, dividing them into financial, legal, and administrative feasibility. A study conducted by experts on the policy priority analysis of Baby Boomers showed that their support for lifelong learning places a greater priority on its feasibility (the more feasible alternative) than desire (the more desirable option). Among the six criteria, lifestyle activities had high priority, and the relative importance of the five assessment alternatives for lifetime learning activities was shown to be higher for employment skills education (0.377), civil participation education (0.181), lifestyle activities (0.200), and 'lifetime activities' (06.11). These results are meaningful: they can help shape and refine the needs of lifelong education, assess their relative importance, and prepare basic data for lifelong learning policies for baby boomers who are about to enter their old age.

Empirical Analysis for Improvement of Safety Management of Coastal Passenger Ship - Focusing on Safety Practitioners - (연안여객선 안전관리 개선을 위한 실증 분석 - 안전관리 실무 종사자 중심으로 -)

  • Kang, Min-gu;Kim, Hwayoung
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.25 no.5
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    • pp.511-518
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    • 2019
  • This study aimed to extract the priority safety improvement factors for coastal passenger ships and analyze the perception gap between groups. To extract the improvement factors, we formed an expert group with maritime safety supervisors, passenger-ship safety inspectors (PSIs), and captains of passenger ships, and then conducted a Delphi survey. We found, using a hierarchy process, that the improvement factors were divided into three factors in Level 1 and ten factors in Level 2. For the relative importance analysis using the AHP (Analytic Hierarchy Process) model, we also formed two groups: an inspector group with maritime safety supervisors and PSIs, and an examinee group with safety managers, captains, and crews. Consequently, the factors of designation of public transportation for passenger ships and supporting the welfare of the crew were evaluated as the most important among the extracted factors. We conducted a t-test for the analysis of the perception gap between the two groups. Three perception gaps were found: increasing the inspection personnel, strengthening the qualification of the inspection personnel, and expanding the safety operation center. The result of this study will be useful for improving the safety policy of coastal passenger ships.