• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.156-158
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• 2021

An initial local government center received direct asking from citizens, wrote the documents by hand, and issued them. Later the appearance of computers, printers, and faxes made it possible to handle civil complaints through copying. Since 2010, as the e-government has started, entering civil service requests into computers after identification by themselves and printing the results has become established. In addition, with the introduction of unmanned administrative services, civil services become available in various places, which causes the increased satisfaction of citizens. One of the services is an unmanned civil service issuing machine, and more than 20 kinds of documents, including a copy of resident registration, can be issued directly. Of course, additional help may be needed if citizens are not familiar with the latest technologies. However, the unmanned civil service issuing machine is a highly satisfactory way in that it is less time-limited as citizens can visit a community center or city hall after the end of work. However, the main problem is that resident registration numbers and fingerprint recognition are required depending on the type of issuance, which increases the inconvenience of handling citizen complaints and is shunned. To solve this problem, we aim to study a method for improving the fingerprint recognition method of unmanned civil service issuing machines by expanding personal identification.

• Proceedings of the Korea Contents Association Conference
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• 2017.05a
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• pp.491-492
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• 2017

본 논문에서는 B시의 통합 민원처리 시스템을 확장 및 개선을 목적으로 기존시스템의 민원업무현황 및 업무프로세스를 분석하여 7대 실행과제의 도출과 to-be 업무 프로세스를 재설계하여, 민원업무관리체계 및 기존 시스템의 개선안을 제시하였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.9 no.9
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• pp.1051-1056
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• 2014

Social Network Services are widely used by mass population and it is used as an important communications tool because it allows distribution of diverse and abundant amount of information. This thesis proposes to add a new valuable service function in social network for mobile-based civil complaint management. Therefore, we will develop a social network application for civil affair services that allows immediate civil compliant management while being able to share the contents related to civil affairs with other people. As a result of the experiment, the effect and efficiency of the method proposed in this thesis for social network-based civil affair services was proven. Hence, the social network for mobile-based civil affair services always provides new and improved service components. Moreover, discussing civil complaints in a social network point of view, we can expect high ripple effect and encourage more participation of public users dealing with civil affairs.

• Proceedings of the Korean Society of Computer Information Conference
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• 2024.01a
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• pp.351-354
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• 2024

최근 온라인 학습의 비중이 증가함에 따라 온라인 학습 서비스의 일부인 온라인 상담 부분도 비례하여 증가하고 있으며, 많은 상담량으로 인해 상담 서비스의 품질이 저하되고 답변의 속도, 효율성도 감소하는 문제가 발생한다. 국내 교육기관에서는 서비스 개선과 사용자 맞춤형서비스를 제공하기 위해 다양한 연구를 진행하고 있으며 민원을 처리하는 챗봇 등 자동 답변 서비스 도입을 추진하고 있다. 챗봇 및 자동 답변 서비스는 서비스 제공자 입장에서 저예산으로 단순한 질문에 대하여 신속하고 효율적인 서비스를 제공할 수 있으며 서비스 이용자는 즉각적인 답변과 유사한 답변 예시를 확인함으로 질문을 빠르게 해결할 수 있는 장점이 있다. 국가 공공기관에서 제공하는 학습 서비스는 단순하고 반복적인 문의가 많고 정형적인 질의응답이 주로 등록이 되고 있다. 자동 답변 서비스는 이런 문제점을 해결할 수 있는 대안이 된다. 서비스 이용자가 등록한 문의를 기반으로 학습한 답변 서비스는 담당자의 반복된 업무처리 경감과 사용자의 답변감소, 일관된 답변처리로 서비스 품질개선에 큰 영향을 줄 수 있다. 본 연구에서는 사용자의 질문에 효율적인 답변 및 민원 처리 서비스를 제공할 수 있는 방법을 제시하며, 관리자의 업무능력 향상과 효율성을 위해 기간별 키워드 빈도수를 계산하여 Word cloud를 생성하여 제공함으로써 사용자들에게 일정 기간 내 빈도수가 높은 키워드 관련 공지 및 안내를 할 수 있도록 한다.

• Proceedings of the Korean Society for Information Management Conference
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• 2013.08a
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• pp.175-178
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• 2013

웹의 발달과 전자정부의 지향으로, 행정기관의 웹사이트를 통한 민원처리가 증가하고 있다. 게시판을 통해 이용자가 민원을 제기하면, 각 기관에서는 담당자를 배정해 처리하지만 해당 게시물을 공기록으로 보존하지는 않는다. 공공사이트를 통한 투명한 행정을 위해서는 게시물도 공기록물로 보존하는 체계가 마련될 필요가 있다. 이를 위해, 정부기능연계모델(BRM)을 기준으로, 공공사이트의 게시글을 자동으로 분류하는 시스템을 구현하였다.

• Journal of the Korea Convergence Society
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• v.11 no.1
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• pp.237-246
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• 2020

The background of the research is the following: As a result of ultra-light flying device industry development, the utilization of drones and their efficiency have been increasing. However, problems regarding flight permission·approval procedure have not been improved, resulting in increased number of civil complaints. Thus, the purpose of this research is to minimize such civil petition according to the required standards of the two government organizations through enhancing the procedure for managing and employing the system. The research methods entail pinpointing the problems by analysing ultra-light flying device related literature review and by holding focus-interviews with field experts, thereby verifying and providing improved solutions. Under (MLIT) Ministry of Land, Infrastructure and Transport supervision and in accordance with aviation security law, the research provides various updated functions such as improved civil petition processing system's employment and management system, flight approval, integration of names, process, format regarding aviation photographing approval, tool buttons such as the 'Main' button in the system's homepage. This research has the following expected effects : Firstly in the law and regulations section, the clear distinction in the missions and roles of each organization enhances cooperations in tackling civil petition. Secondly the integration of civil petition process reduces time and improves efficiency. And lastly, the improvement of supplementary tools for the public is expected to minimize civil petitions. Future research needs to be conducted under the supervision of the Ministry of National Defense(MND). Factors such as systematic infrastructure for flight photography approval, related unit's reorganization following the defense reform 2.0, and guaranteed conditions for field security action units need to be ameliorated.

• Convergence Security Journal
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• v.15 no.7
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• pp.31-38
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• 2015

Recently the government civil affairs administration system has been advanced to a cloud computing environment from a simple network environment. The electronic civil affairs processing environment in recent years means cloud computing environment based bid data services. Therefore, there exist lots of problems in processing big data for the government civil affairs service compared to the conventional information acquisition environment. That is, it processes new information through collecting required information from different information systems much further than the information service in conventional network environments. According to such an environment, applications of providing administration information for processing the big data have been becoming a major target of illegal attackers. The objectives of this study are to prevent illegal uses of the electronic civil affairs service based on IPs nationally located in civil affairs centers and to protect leaks of the important data retained in these centers. For achieving it, the safety, usability, and security of services are to be ensured by using different authentication processes and encryption methods based on these processes.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2002.04a
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• pp.69-70
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• 2002

악취물질은 발생원이 다양하고, 극미량으로도 악취를 발생하게 되므로 어느 정도 저감하더라고 그에 따른 개선효과를 거두기 어려울 뿐만 아니라, 됐게 감지되므로 많은 민원을 야기 시키고 있다. 근래에는, 전체 환경관련 민원중 악취와 관련된 민원이 20% 정도를 차지할 정도로 많은 비중을 차지하고 있으며, 해를 거듭할수록 민원 발생건수가 증가하고 있는 실정이다. (중략)

• Informatization Policy
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• v.27 no.2
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• pp.66-83
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• 2020

Local issues that occur in cities typically garner great attention from the public. While local governments strive to resolve these issues, it is often difficult to effectively eliminate them all, which leads to complaints. In tackling these issues, it is imperative for local governments to use big data to identify the nature of complaints, and proactively provide solutions. This study applies the LDA topic modeling technique to research and analyze trends and patterns in complaints filed online. To this end, 9,625 cases of online complaints submitted to the city of Busan from 2015 to 2017 were analyzed, and 20 topics were identified. From these topics, key topics were singled out, and through analysis of quarterly weighting trends, four "hot" topics(Bus stops, Taxi drivers, Praises, and Administrative handling) and four "cold" topics(CCTV installation, Bus routes, Park facilities including parking, and Festivities issues) were highlighted. The study conducted big data analysis for the identification of trends and patterns in civil affairs and makes an academic impact by encouraging follow-up research. Moreover, the text mining technique used for complaint analysis can be used for other projects requiring big data processing.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.1
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• pp.135-144
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• 2024

In this study, we propose an automatic classification model for quantitative multidimensional analysis based on facet theory to understand public opinions and demands on major issues through big data analysis. Civil complaints, as a form of public feedback, are generated by various individuals on multiple topics repeatedly and continuously in real-time, which can be challenging for officials to read and analyze efficiently. Specifically, our research introduces a new classification framework that utilizes facet theory and political analysis models to analyze the characteristics of citizen complaints and apply them to the policy-making process. Furthermore, to reduce administrative tasks related to complaint analysis and processing and to facilitate citizen policy participation, we employ deep learning to automatically extract and classify attributes based on the facet analysis framework. The results of this study are expected to provide important insights into understanding and analyzing the characteristics of big data related to citizen complaints, which can pave the way for future research in various fields beyond the public sector, such as education, industry, and healthcare, for quantifying unstructured data and utilizing multidimensional analysis. In practical terms, improving the processing system for large-scale electronic complaints and automation through deep learning can enhance the efficiency and responsiveness of complaint handling, and this approach can also be applied to text data processing in other fields.