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A Study of Analysis and Improvement of Police Ethics (경찰윤리의 실태분석 및 개선방안에 관한 연구)

  • Cho, Kye-Pyo;Kim, Young-Joo
    • Korean Security Journal
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    • no.45
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    • pp.129-159
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    • 2015
  • The police do their best effort to make all security standards of competence and law enforcement suit the public's expectation, take precedence over the direction of the security policy to what the people want, and realize the Republic of Korea in which the people are happy with a strong police security. On the other hand. The people demand the fairly high level of moral integrity to the police who are in charge of law enforcement at the forefront than any other organization. Suggesting various measures for enhancing the organizational level of police ethics in police ethics awareness of police offices have been working on, yet the prevailing view that still insufficient. In this study, after analyzing the current moral status of the police, I suggest ways to improve as follows: First, strengthening the training and improving the program of police ethics. For this, securing professional teacher and implementation of customized ethics training are necessary. Second, the subject of human nature test should be expanded. The targets are limited to less than a supervisor. It should be expanded to all police officers. Third, the improvement of the organizational culture. For this, introduction of mentoring system and enlightening-oriented inspection is needed. Fourth, reducing the burden of manpower by reinforcing personnel. By defusing lack of police personnel, the police will be able to conduct intensive and effective ethics education. Finally, the provision of the stress relief measures for the police. To this end, the police requires constant efforts of the organization itself.

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A Survey on the Awareness of Consumers on the Expertise of Optometrists (소비자가 생각하는 안경사의 전문성에 대한 인식도 조사)

  • Han, Sun-Hee;Kim, Bong-Hwan;Yun, Da-bhin;Song, Jeong-Ho;Yoon, Ji-Min;Kim, Hyeong-Su
    • Journal of Korean Clinical Health Science
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    • v.9 no.2
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    • pp.1502-1510
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    • 2021
  • Purpose. To investigate on the awareness of consumers on the expertise of optometrists. Methods. Data were collected and analyzed through an online questionnaire targeting 63 consumers (42 consumers over the age of 10 who wore glasses, and 21 students in the Department of Optometry). Result. As a consideration when choosing an optometrist, consumers considered the variety of products (15 persons(23.8%)), expertise such as optometry and fitting, kindness and credibility (11 persons(17.5%)). Students in the Department of Optometry of each selected expertise such as optometry and fitting, kindness and credibility (5 persons(7.9%)) and the results were high. In addition, about the main tasks of optometrists, 20 consumers (31.7%) and 9 students (14.3%)(SD 14.5±5.5) answered that they were medical technicians specializing in vision health. And the service satisfaction of the optometrist (5 point scale) was evaluated as 3.77 points for the consumers and 3.76 points for students(SD 3.77±0.01), and the reliability (5 point scale) for the consumers was 3.42 points and students 3.53 points (SD 3.48±0.06). In terms of expertise (5 point scale), the consumers scored 3.47 points and current students 3.58 points (SD 3.53±0.06). Conclusion. As a result of the study on consumer awareness of the expertise of optometrists, there was no significant difference in the perceptions of the reliability, service, and expertise of optometrists in the opinion of the consumers and students of the Department of Optometry. In terms of reliability and expertise, students in the Department of Optometry were evaluated somewhat higher than the consumers. Therefore, in order for consumers to be able to trust the expertise of optometrists in the future, it is necessary to take pride in being a medical technician specializing in vision health, and to actively promote and make efforts to inform consumers that optometrists are experts recognized by the state.

Agrometeorological Early Warning System: A Service Infrastructure for Climate-Smart Agriculture (농업기상 조기경보시스템 설계)

  • Yun, Jin I.
    • Proceedings of The Korean Society of Agricultural and Forest Meteorology Conference
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    • 2014.10a
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    • pp.25-48
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    • 2014
  • Increased frequency of climate extremes is another face of climate change confronted by humans, resulting in catastrophic losses in agriculture. While climate extremes take place on many scales, impacts are experienced locally and mitigation tools are a function of local conditions. To address this, agrometeorological early warning systems must be place and location based, incorporating the climate, crop and land attributes at the appropriate scale. Existing services often lack site-specific information on adverse weather and countermeasures relevant to farming activities. Warnings on chronic long term effects of adverse weather or combined effects of two or more weather elements are seldom provided, either. This lecture discusses a field-specific early warning system implemented on a catchment scale agrometeorological service, by which volunteer farmers are provided with face-to-face disaster warnings along with relevant countermeasures. The products are based on core techniques such as scaling down of weather information to a field level and the crop specific risk assessment. Likelihood of a disaster is evaluated by the relative position of current risk on the standardized normal distribution from climatological normal year prepared for 840 catchments in South Korea. A validation study has begun with a 4-year plan for implementing an operational service in Seomjin River Basin, which accommodates over 60,000 farms and orchards. Diverse experiences obtained through this study will certainly be useful in planning and developing the nation-wide disaster early warning system for agricultural sector.

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Between Regime Change and Political Development: Myanmar's Defective Democracy and the Task for the Political Development (체제 전환과 정치발전의 사이에서: 미얀마의 결손민주주의와 정치발전의 과제)

  • JANG, Junyoung
    • The Southeast Asian review
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    • v.28 no.4
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    • pp.161-196
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    • 2018
  • The major object of this study is to analyze the political development of Myanmar's civilian government on the concept of defective democracy, and to investigate the main actors who delayed or stymied political development and their interrelation. In doing so, this study suggests the tasks required for political development overcoming the current political structure and behavior. The civilian government, which was launched in 2016, failed to achieve positive political development by following the behavior of military authoritarianism in terms of exercise of power and decision making structure. On the perspective of the government, delegative democracy and domain democracy have been strengthening since one person has taken over all political power and hesitate to take horizontal accountability for each power organizations. The military, which is responsible for national defence and security seeks illiberal democracy and exclusive democracy, keeping on an undemocratic constitution by the military and Burman ethnocentrism. The reasons why defective democracy has been occurred are that the lack of a group to run a democratic institutions and the limitation of power structure that fails to adhere to the principle of civilian control to the military due to long-term military rule. Therefore, there is a need for military's come back to barracks and transform the power structure to democratic of the civilian government which is tamed an authoritarian order for the political development in Myanmar. In order to achieve this, this study concludes that setting up a empowered democratic government is required.

Entertainers' Conceptual Perception and Behavioral Pattern on their "Positive Influence" ('선한 영향력'에 관한 엔터테이너들의 개념 인식과 발현 양태)

  • Kim, Jeong-Seob
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.4
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    • pp.199-209
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    • 2020
  • "Positive Influence(PI)" of popular star has recently emerged as a social concern, but the lack of prior research has led to confusion over its concept and range of activity. On this point, this study carried out to lay the groundwork for discussions on the systematization of related theories, focused on identifying the current situations by analyzing articles for 15 months from January 2019 to March 2020 when related reports were in full swing. As a result of the analysis of the remarks from the entertainers mentioned in the articles, they were not clearly aware of the concept while doing good deeds under the name of PI in light of the study outcome by Aegean and Singer(2013). The motivations for good deed were classified into six types, including difficulty empathy, fandom reward, participation urge, nidana emphasis, experience subjugation, and memory evocation in the order of frequency of cases. Specific behaviors of PI were followed by donations of money and valuables for 54.4 percent, participation of social agendas for 14.0 percent, volunteering for 13.2 percent, joining campaign for 11.4 percent, other good deeds for 4.0 percent, and philanthropy for 3.0 percent. In occupational analysis, the concentration of donations was also evident. Their activities in the fields of human rights sensitivity, environmental protection and self-management, which are expected to have great effects with their influence, have been extremely poor. The results of the study first require academia to establish a interdisciplinary concept for PI. It also suggests that entertainers and their agencies should take far more strategic approach to evolve the PI event in a way that utilizes the advantages of each job group, such as actors, singers and comedians, and expands the diversity of areas.

Real-time Steel Surface Defects Detection Appliocation based on Yolov4 Model and Transfer Learning (Yolov4와 전이학습을 기반으로한 실시간 철강 표면 결함 검출 연구)

  • Bok-Kyeong Kim;Jun-Hee Bae;NGUYEN VIET HOAN;Yong-Eun Lee;Young Seok Ock
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.31-41
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    • 2022
  • Steel is one of the most fundamental components to mechanical industry. However, the quality of products are greatly impacted by the surface defects in the steel. Thus, researchers pay attention to the need for surface defects detector and the deep learning methods are the current trend of object detector. There are still limitations and rooms for improvements, for example, related works focus on developing the models but don't take into account real-time application with practical implication on industrial settings. In this paper, a real-time application of steel surface defects detection based on YOLOv4 is proposed. Firstly, as the aim of this work to deploying model on real-time application, we studied related works on this field, particularly focusing on one-stage detector and YOLO algorithm, which is one of the most famous algorithm for real-time object detectors. Secondly, using pre-trained Yolov4-Darknet platform models and transfer learning, we trained and test on the hot rolled steel defects open-source dataset NEU-DET. In our study, we applied our application with 4 types of typical defects of a steel surface, namely patches, pitted surface, inclusion and scratches. Thirdly, we evaluated YOLOv4 trained model real-time performance to deploying our system with accuracy of 87.1 % mAP@0.5 and over 60 fps with GPU processing.

Comprehensive Understanding about Drop-Out Adolescents in Korea (우리나라 학업중단청소년에 대한 이해)

  • Myoung-Ja Keum
    • Korean Journal of Culture and Social Issue
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    • v.14 no.1_spc
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    • pp.299-317
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    • 2008
  • The school drop-out among the youth has grown to become a serious social problem since about 2000 and calls for an attention to its seriousness. Therefore, this study reviewed the statitistical reports and the previous empirical findings on the school drop-out and integrated to establish a comprehensive understanding of this social phenomenon. The main concepts and terminologies on school drop-out, the current statistics, the possible causal factors and the usual trajectory the youth take after dropping-out of school were discussed to conceptualize the issue. Analyses indicated 12 characteristics of the students who dropped out of school. Those 12 characteristics were restructured according to the ecological conceptual model. The social instability and the financial crisis in the 1990's has eroded the stability of the primary environments of adolescents such as family and school. The family breakdowns from divorce and other reasons weakened psychological and financial support for adolescents. The diminished authority of teachers and school over students exposed conflicts between teacher and students, students' loss of purpose and interest in academic attainment. The adolescents showed emotional reponses like increased level of depression, helplessness, aggression, indicated cognitive reponses such as the loss of purpose and interest in studying, a heightened sense of uncertainty of the future, and behavioral responses like sexual acting out behaviors, and bullying. The unmet psychological needs of adolescents result in run-away and school drop-out behaviors, which in turn progress into juvenile delinquency as the society fails to provide adequate and appropriate guidance and interventions. The intervention strategies at the national level were proposed and the limitations of the study were discussed.

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Characteristics of Intra and Inter-Regional Population Mobility Resulting from Innovative City Development (혁신도시 건설에 따른 권역내·외 인구이동 특성)

  • Seong-Won KANG;Tae-Heon MOON;Hye-Lim KIM
    • Journal of the Korean Association of Geographic Information Studies
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    • v.26 no.4
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    • pp.1-16
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    • 2023
  • In 2005, the selection of 10 innovation cities was completed, and since 2013, public institutions began relocating to innovation cities. As a policy aimed at promoting balanced regional development, there were significant expectations from the regions. However, although the population moving to innovation cities has increased, it remains to be seen how much inflow is from the capital region and what spatial characteristics exist nationwide. Therefore, this study aims to analyze whether the innovation cities are fulfilling their roles by examining the patterns of inflow from the capital region and the spatial characteristics, and to reassess the policy direction for future innovation cities. We utilized the Microdata Integrated Service (MDIS) provided by Statistics Korea from 2013 to 2021. For the data collection reasons, we focused on analyzing the three cities. The results showed that in the initial stages of innovation city development, there was a significant influx of population from the capital region, leading to some effects on population dispersion and balanced regional development. However, over time, a phenomenon emerged where more people started to move back to the capital region, indicating a problematic trend. Furthermore, the Gyeongbuk Innovation City and Gwangju-Jeonnam Innovation City showed similarities in terms of reasons for migration, age of householder, and number of household members. However, the Gyeongnam Innovation City exhibited distinct characteristics compared to the other two cities. While the reasons for this phenomenon may be diverse, the current situation suggests that the goal of achieving "balanced national development" has reached its limits. Therefore, urgent measures need to be taken for improvement that take regional characteristics into account. Furthermore, in designing the second phase of the public institution relocation plan is required to avoid repeating the same issues and ensure a more thoughtful approach.

A Time Series Analysis of Urban Park Behavior Using Big Data (빅데이터를 활용한 도시공원 이용행태 특성의 시계열 분석)

  • Woo, Kyung-Sook;Suh, Joo-Hwan
    • Journal of the Korean Institute of Landscape Architecture
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    • v.48 no.1
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    • pp.35-45
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    • 2020
  • This study focused on the park as a space to support the behavior of urban citizens in modern society. Modern city parks are not spaces that play a specific role but are used by many people, so their function and meaning may change depending on the user's behavior. In addition, current online data may determine the selection of parks to visit or the usage of parks. Therefore, this study analyzed the change of behavior in Yeouido Park, Yeouido Hangang Park, and Yangjae Citizen's Forest from 2000 to 2018 by utilizing a time series analysis. The analysis method used Big Data techniques such as text mining and social network analysis. The summary of the study is as follows. The usage behavior of Yeouido Park has changed over time to "Ride" (Dynamic Behavior) for the first period (I), "Take" (Information Communication Service Behavior) for the second period (II), "See" (Communicative Behavior) for the third period (III), and "Eat" (Energy Source Behavior) for the fourth period (IV). In the case of Yangjae Citizens' Forest, the usage behavior has changed over time to "Walk" (Dynamic Behavior) for the first, second, and third periods (I), (II), (III) and "Play" (Dynamic Behavior) for the fourth period (IV). Looking at the factors affecting behavior, Yeouido Park was had various factors related to sports, leisure, culture, art, and spare time compared to Yangjae Citizens' Forest. The differences in Yangjae Citizens' Forest that affected its main usage behavior were various elements of natural resources. Second, the behavior of the target areas was found to be focused on certain main behaviors over time and played a role in selecting or limiting future behaviors. These results indicate that the space and facilities of the target areas had not been utilized evenly, as various behaviors have not occurred, however, a certain main behavior has appeared in the target areas. This study has great significance in that it analyzes the usage of urban parks using Big Data techniques, and determined that urban parks are transformed into play spaces where consumption progressed beyond the role of rest and walking. The behavior occurring in modern urban parks is changing in quantity and content. Therefore, through various types of discussions based on the results of the behavior collected through Big Data, we can better understand how citizens are using city parks. This study found that the behavior associated with static behavior in both parks had a great impact on other behaviors.

The Effect of Herding Behavior and Perceived Usefulness on Intention to Purchase e-Learning Content: Comparison Analysis by Purchase Experience (무리행동과 지각된 유용성이 이러닝 컨텐츠 구매의도에 미치는 영향: 구매경험에 의한 비교분석)

  • Yoo, Chul-Woo;Kim, Yang-Jin;Moon, Jung-Hoon;Choe, Young-Chan
    • Asia pacific journal of information systems
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    • v.18 no.4
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    • pp.105-130
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    • 2008
  • Consumers of e-learning market differ from those of other markets in that they are replaced in a specific time scale. For example, e-learning contents aimed at highschool senior students cannot be consumed by a specific consumer over the designated period of time. Hence e-learning service providers need to attract new groups of students every year. Due to lack of information on products designed for continuously emerging consumers, the consumers face difficulties in making rational decisions in a short time period. Increased uncertainty of product purchase leads customers to herding behaviors to obtain information of the product from others and imitate them. Taking into consideration of these features of e-learning market, this study will focus on the online herding behavior in purchasing e-learning contents. There is no definite concept for e-learning. However, it is being discussed in a wide range of perspectives from educational engineering to management to e-business etc. Based upon the existing studies, we identify two main view-points regarding e-learning. The first defines e-learning as a concept that includes existing terminologies, such as CBT (Computer Based Training), WBT (Web Based Training), and IBT (Internet Based Training). In this view, e-learning utilizes IT in order to support professors and a part of or entire education systems. In the second perspective, e-learning is defined as the usage of Internet technology to deliver diverse intelligence and achievement enhancing solutions. In other words, only the educations that are done through the Internet and network can be classified as e-learning. We take the second definition of e-learning for our working definition. The main goal of this study is to investigate what factors affect consumer intention to purchase e-learning contents and to identify the differential impact of the factors between consumers with purchase experience and those without the experience. To accomplish the goal of this study, it focuses on herding behavior and perceived usefulness as antecedents to behavioral intention. The proposed research model in the study extends the Technology Acceptance Model by adding herding behavior and usability to take into account the unique characteristics of e-learning content market and e-learning systems use, respectively. The current study also includes consumer experience with e-learning content purchase because the previous experience is believed to affect purchasing intention when consumers buy experience goods or services. Previous studies on e-learning did not consider the characteristics of e-learning contents market and the differential impact of consumer experience on the relationship between the antecedents and behavioral intention, which is the target of this study. This study employs a survey method to empirically test the proposed research model. A survey questionnaire was developed and distributed to 629 informants. 528 responses were collected, which consist of potential customer group (n = 133) and experienced customer group (n = 395). The data were analyzed using PLS method, a structural equation modeling method. Overall, both herding behavior and perceived usefulness influence consumer intention to purchase e-learning contents. In detail, in the case of potential customer group, herding behavior has stronger effect on purchase intention than does perceived usefulness. However, in the case of shopping-experienced customer group, perceived usefulness has stronger effect than does herding behavior. In sum, the results of the analysis show that with regard to purchasing experience, perceived usefulness and herding behavior had differential effects upon the purchase of e-learning contents. As a follow-up analysis, the interaction effects of the number of purchase transaction and herding behavior/perceived usefulness on purchase intention were investigated. The results show that there are no interaction effects. This study contributes to the literature in a couple of ways. From a theoretical perspective, this study examined and showed evidence that the characteristics of e-learning market such as continuous renewal of consumers and thus high uncertainty and individual experiences are important factors to be considered when the purchase intention of e-learning content is studied. This study can be used as a basis for future studies on e-learning success. From a practical perspective, this study provides several important implications on what types of marketing strategies e-learning companies need to build. The bottom lines of these strategies include target group attraction, word-of-mouth management, enhancement of web site usability quality, etc. The limitations of this study are also discussed for future studies.