• Journal of the Korean association of regional geographers
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• v.21 no.1
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• pp.39-61
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• 2015

This paper reviews literature on urban connectivity, and reconsiders the concept of polycentric urban region and its analysis methods, and then, applying them, explores the inter-city flight connectivity and polycentricity in the Yeongnam Region. As results of analysis, it has been identified that the entropy index shows a relatively dispersing pattern of the urban network of the region, and that the dominance index reveals a more polycentric (that is, less hierarchic) character of the region than that of the Capital Region, while some differences are found among individual cities in the symmetry of connectivity and the dominance and/or dependence index. Even though flows of products in textile, basic metals, and automobile industries in sub-divisions of manufacture appear a pattern of concentring into the first central city, the urban network of the Yeongnam Region in general can be characterized as a polycentrism, and policy for polycentric regional development would be suggested.

• The Journal of Korean Association of Computer Education
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• v.17 no.4
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• pp.69-78
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• 2014

This study aims to investigate better predictors, among learner participation and interaction, for collective self-efficacy and achievement in a web-based collaborative learning environment. Interaction requires communication among two or more learners, while participation does not. In this study, interaction was measured by in-degree centrality and out-degree centrality based on the social network analysis perspective. Multiple regression analysis results from 53 college students who performed team project via online showed that in-degree centrality predicted collective self-efficacy and out-degree centrality predicted achievement, while participation was not a significant predictor.

• Health Policy and Management
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• v.5 no.1
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• pp.161-191
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• 1995

본 논문은 서구의 이론을 바탕으로 개발된 직무만족도에 관한 인과모형을 한국의 병원근무자들을 대상으로 실증적으로 검증하고 직무만족도를 결정하는 인과적 요인들을 파악하는데 목적이 있다. 본 모형의 종속변수는 직무만족도이고 독립변수로는 3개집단의 변수들로 크게 분류하여 선정되었는데 첫째, 사회적 변수들로써 직무의 자율성, 직무의 모호성, 직무 갈등, 직무의 양, 상사 및 동료와의 관계, 발전가능성, 직무의 단순성, 분배정의, 승진기회, 물리적 근무환경, 임금 등이며, 둘째, 심리적 변수들로써 기대 충족도, 근무의욕, 적극적 심성, 부정적 심성 등이고, 셋째, 환경적 변수들로써 외부 취업기회와 가족에 대한 책임 등이 사용되었다. 또한 독립변수들이 종속변수에 영향을 미치는데 있어 개인의 가치관이 어떻게 작용하는지도 검증하였다. 자료수집을 위해 대구에 위치한 750병상 규모의 한 대학병원에 근무하는 전직원을 대상으로 자기가 입식 설문조사를 실시하였으며 879매가 회수되어 74.7%의 응답율을 기록하였다. 수집된 자료중 사용 가능한 836명의 응답을 바탕으로 선형구조관계분석(LISREL)과 다중회구분석기법을 이용하여 인과 모형을 검증하였다. 분석결과 직무만족도에 유의한 영향력을 가지는 변수들은 직무의 모호성, 직무의 모호성, 동료관계, 직무의 단순성, 분배정의(이상 시회적 변수), 기대의 총족도, 근무의욕, 적극적 심성, 부정적 심성(이상 심리적 변수), 외부 취업기회(환경적 변수) 등인 것으로 나타났으며 개인의 가치관과 인구학적인 변수들은 직무만족도에 큰 영향을 미치지 못하는 것으로 나타났다. 또한 본 연구에서 사용된 인과모형은 직무만족도의 변이를 75.4% 설명함으로서 기존의 다른 모형들 보다 높은 설명력을 나타내었다. 결론적으로 본 연구에서 사용된 직무만족도의 인과모형은 한국의 조직에서도 적용이 가능한 것으로 보이며, 또한 직무만족도의 일반적 모형은 구조적 변수, 심리적 변수, 그리고 환경적 변수들을 모두 포함하는 포괄적인 모형이 타당하다는 결론을 얻을 수 있었다.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.427-449
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• 2015

Network governance can be defined as collaborative process to develop a new socio-political order through civil society centered networking with government and market, and the term 'collaborative governance' can be used in a sense that the basis of governance is collaborative process. In particular, it can be stressed that collaborative governance between regions need double collaborative processes, that is, collaboration between local governments and collaboration between local government and local civil society within a region. Yet, the collaboration as a core element of collaborative governance should not be seen as a pure normativity presupposing confidence and reciprocity, but as a strategy based on competition and antagonism. The normativity implied in the concept of collaborative governance may not realized in actual process, and tends to be mobilized as a rationale for justifying neoliberal strategies. In order to overcome such limits of collaborative governance, the concept of collaborative governance should be reconstructed. This paper suggests that collaborative governance can be seen as hegemonic governing process in a Gramcian sense operating in the government plus civil society, and that, radicalizing Ostrom's concept, it also can be seen as a governing process producing polycentricity by self-regulating subjects. Finally, collaborative governance between regions needs expansion of material basis for economic complementarity and construction of infrastructure as well as a discursive process in order to enhance connectivity between them.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.466-476
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• 2018

This study was conducted to determine factors affecting professionalism of community health practitioners (CHPs). The participants in this study were 153 community health practitioners working in G province with structured self-report questionnaires from 20 August to 25 September 2017. Data were analyzed by descriptive statistics, t-test, ANONA, Scheffe's test, Pearson's correlation coefficients and stepwise multiple regression using the SPSS 20.0 program. There were statistically significant differences according to income (F=6.951, p<.001), work experience (F=5.245, p=0.002) and motivation for choosing a community health practitioner (F=3.676, p=0.004). The highest related factors were job satisfaction (${\beta}=0.320$, p<0.001), individual disposition (${\beta}=0.291$, p<0.001), income (${\beta}=0.283$, p<0.001) and job continuance (${\beta}=0.176$, p=0.009). These variables explained 49.6% of the total variance in professionalism. These findings suggest that it is necessary to develop a convergence program and policy support at the individual and organizational level to strengthen the professionalism of community health practitioners.

• Korean Journal of Veterinary Research
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• v.25 no.2
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• pp.175-181
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• 1985

An eighteen months old, female, Great Dane dog which had shown signs of severe cachexia, dehydration, hematuria, vomiting and the palpable cervical mass during three weeks was examined clinically and necropsied after death. Diagnosis of this tumor case was made by gross pathology, cytology of the aspirate, radiography of the abdomen and the tumor tissse as multicentric, histiocytic lymphosarcoma. Cytologic findings of the needle aspirate of the cervical lesion were typical of macrophage origin cell. The tnmor was encountered predominantly in the lymph nodes, tonsils and spleen. The predominant cell type of these tumor masses manifested characteristics of histiocytic cells.

• Journal of the Korea Institute of Military Science and Technology
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• v.15 no.3
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• pp.250-256
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• 2012

Unmanned ground vehicles may be operated by remote control unit through the wireless communication or autonomously. However, the autonomous technology is still challenging and not perfectly developed. For some reason or other, the wireless communication is not always available. If wireless communication is abruptly disconnected, the UGV will be nothing but a lump of junk. What was worse, the UGV can be captured by enemy. This paper suggests a method, autonomous return technology with which the UGV can autonomously go back to a safer position along the reverse path. The suggested autonomous return technology for UGV is based on multi-correlated information based DB creation and matching. While SUGV moves by remote-control, the multi-correlated information based DB is created with the multi-sensor information; the absolute position of the trajectory is stored in DB if GPS is available and the hybrid MAP based on the fusion of VISION and LADAR is stored with the corresponding relative position if GPS is unavailable. In multi-correlated information based autonomous return, SUGV returns autonomously based on DB; SUGV returns along the trajectory based on GPS-based absolute position if GPS is available. Otherwise, the current position of SUGV is first estimated by the relative position using multi-sensor fusion followed by the matching between the query and DB. Then, the return path is created in MAP and SUGV returns automatically based on the MAP. Experimental results on the pre-built trajectory show the possibility of the successful autonomous return.

• Journal of the Korea Institute of Military Science and Technology
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• v.15 no.5
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• pp.557-564
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• 2012

This paper presents UGV localization using multi-sensor fusion based on federated filter in outdoor environments. The conventional GPS/INS integrated system does not guarantee the robustness of localization because GPS is vulnerable to external disturbances. In many environments, however, vision system is very efficient because there are many features compared to the open space and these features can provide much information for UGV localization. Thus, this paper uses the scene matching and pose estimation based vision navigation, magnetic compass and odometer to cope with the GPS-denied environments. NR-mode federated filter is used for system safety. The experiment results with a predefined path demonstrate enhancement of the robustness and accuracy of localization in outdoor environments.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.6A
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• pp.624-631
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• 2007

This paper presents inter-cell cooperation methods with two transmit antennas for broadcast services in a coded OFDM cellular system. In the method, cells are divided into multiple cell groups and a coded packet is partitioned into the subparts. Then, a different cell group and antenna combination is assigned to each subpart for transmission of two orthogonal branches of the diversity code. For the method, we derive the bound on the pairwise error probability to predict the coded performance and verify the performance gain of the proposed method through the simulation using turbo code and analytically derived bound.

• The Journal of Korea Robotics Society
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• v.17 no.3
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• pp.245-254
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• 2022

Sensor dataset for autonomous driving is one of the essential components as the deep learning approaches are widely used. However, most driving datasets are focused on typical environments such as sunny or cloudy. In addition, most datasets deal with color images and lidar. In this paper, we propose a driving dataset with multi-spectral images and lidar in adverse weather conditions such as snowy, rainy, smoky, and dusty. The proposed data acquisition system has 4 types of cameras (color, near-infrared, shortwave, thermal), 1 lidar, 2 radars, and a navigation sensor. Our dataset is the first dataset that handles multi-spectral cameras in adverse weather conditions. The Proposed dataset is annotated as 2D semantic labels, 3D semantic labels, and 2D/3D bounding boxes. Many tasks are available on our dataset, for example, object detection and driveable region detection. We also present some experimental results on the adverse weather dataset.