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박병언,김지선,이정근,이인범 한국화학공학회 2020 Korean Journal of Chemical Engineering Vol.37 No.1
Low-Density Polyethylene (LDPE) was synthesized from ethylene at high-temperature and pressure condition. Hyper-compressor used to increase pressure up to 3,500 atm should be monitored and controlled delicately or it cannot guarantee stable operation of the process causing process shutdown (SD), which is directly related to product yield and process safety. This paper presents a data-based multivariate statistical monitoring method to detect anomalies in the hyper-compressor of a LDPE manufacturing process with weighted principal component analysis model (WPCA), which can consider both time-varying and time-invariant characteristic of data combining principal component analysis (PCA) and slow feature analysis (SFA). Operation data of the LDPE manufacturing process was gathered hourly for four years. WPCA-based principal component control limit (PCCL) was used as an index to determine anomaly and applied to five emergency shutdown (ESD) cases, respectively. As a result, all the five anomalies were detected by a PCCL, respectively, as a sign of SD. Moreover, it shows a better anomaly detection performance than the monitoring method using T2 and squared prediction error (SPE) based on PCA, SFA, or WPCA.
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행정업무 능률향상을 위한 통합 계정 및 접근 관리 방안
박병언(Byung-eon Park),양재수(Jaesoo Yang),조성제(Seong-Je Cho) 한국정보보호학회 2015 정보보호학회논문지 Vol.25 No.1
최근 공공기관 및 대형 포털 사이트에 이르기까지 개인정보관리의 효율적인 관리의 부재로 대량의 고객 정보와 정보유출 관련 사고들이 연이어 발생하고 있다. 이에 내부 자료의 외부유출을 근원적으로 차단할 수 있는 보안 인프라 구축이 그 어느 때 보다도 중요한 이슈로 등장하고 있다. 이에 사용자의 접근과 권한 관리, 인증, 감사 등을 수행하는 계정 및 권한관리시스템이, 업무의 효율성 향상은 물론, 시스템에 대한 접근과 계정 관리를 위한 안전하고 효과적인 방안으로 대두되고 있다. 본 논문에서는 지방자치 행정업무에서 전산 업무능률 향상과 보안성강화를 위해 어떻게 계정 및 권한관리시스템을 구축해야 하는지 분석하고, 그 방안을 제시하였다. Recently large amounts of customer information has leaked ranging from public institutions to the large-scale of portals, and similar information leakage incidents owing to the absence of personal information management have subsequently occurred. Therefore, the security infrastructure in which leakage of internal data can be blocked fundamentally is emerging as a key issue. An integrated identity and access management architecture which performs user access and its rights management, authentication and audit of the business systems is more important to improve the efficiency of business. In addition, this approach is emerging as a safe and effective ways for identity and access rights management. In this paper, we analyze how an integrated approach for identity and access management to improve the efficiency of the computational work and to strengthen the security in local government administration should be constructed, and proposed the preferred solution.
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AE-SOM을 이용한 EVA 생산 공정 이상 검출 및 진단
박병언 ( Byeong Eon Park ),지유미 ( Yumi Ji ),심예슬 ( Ye Seul Sim ),이규황 ( Kyu-hwang Lee ),이호경 ( Ho Kyung Lee ) 한국화학공학회 2020 Korean Chemical Engineering Research(HWAHAK KONGHA Vol.58 No.3
본 연구에서는 auto-encoder와 self-organizing map을 결합한 auto-encoder with self-organizing map(AE-SOM) 기법을 이용하여 EVA 생산공정의 이상을 검출 및 진단하였고, Granger의 인과분석을 통해 이상 검출 데이터의 이상 전파 방향을 확인하였다. 분석 데이터는 1년 7개월 간의 조업데이터를 이용하였으며, autoclave 반응기의 조업 변수를 주로 분석하였다. 데이터 전처리 과정에서 데이터의 표준화를 먼저 진행하고, 조업의 각 grade의 sample 수를 동일하게 200개 임의로 추출하였다. 이후 AE-SOM을 적용하여 각 grade의 best matching unit (BMU)를 도출하였다. 각각의 BMU를 기준으로 조업 데이터가 얼마나 벗어났는지를 기준으로 데이터의 이상을 판별하였다. 공정 이상이 발견될 시 이상원인을 contribution plot을 이용하여 확인하였고 이상원인 변수의 인과성을 Granger의 인과분석을 통해 분석하였다. 그 결과 조업 시 발생한 2번의 셧다운의 전조를 모두 검출하였으며 이상이 발생한 원인변수에서 기인한 공정 이상의 전파 방향을 분석하였다. In this study, the AE-SOM method, which combines auto-encoder and self-organizing map, is used to detect and diagnose faults in EVA production process. Then, the fault propagation pathways are identified using Granger causality test. One year and seven months of operation data were obtained to detect faults of the process, and the process variables of the autoclave reactor are mainly analyzed. In the data pretreatment process, the data are standardized and 200 samples of each grade are randomly chosen to obtain a fault detection model. After that, the best matching unit (BMU) of each grade is confirmed by applying AE-SOM. The faults are determined based on each BMU. When a fault is found, the most causative variable of the fault is identified by using a contribution plot, and the fault propagation pathway is identified by Granger causality test. The prognostic of the two shutdowns is detected, and the fault propagation pathway caused by the faulty variable was analyzed.
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일반영향요인과 댓글기반 콘텐츠 네트워크 분석을 통합한 유튜브(Youtube)상의 콘텐츠 확산 영향요인 연구
박병언(Byung Eun Park),임규건(Gyoo Gun Lim) 한국지능정보시스템학회 2015 지능정보연구 Vol.21 No.3
Social media is an emerging issue in content services and in current business environment. YouTube is the most representative social media service in the world. YouTube is different from other conventional content services in its open user participation and contents creation methods. To promote a content in YouTube, it is important to understand the diffusion phenomena of contents and the network structural characteristics. Most previous studies analyzed impact factors of contents diffusion from the view point of general behavioral factors. Currently some researchers use network structure factors. However, these two approaches have been used separately. However this study tries to analyze the general impact factors on the view count and content based network structures all together. In addition, when building a content based network, this study forms the network structure by analyzing user comments on 22,370 contents of YouTube not based on the individual user based network. From this study, we re-proved statistically the causal relations between view count and not only general factors but also network factors. Moreover by analyzing this integrated research model, we found that these factors affect the view count of YouTube according to the following order; Uploader Followers, Video Age, Betweenness Centrality, Comments, Closeness Centrality, Clustering Coefficient and Rating. However Degree Centrality and Eigenvector Centrality affect the view count negatively. From this research some strategic points for the utilizing of contents diffusion are as followings. First, it is needed to manage general factors such as the number of uploader followers or subscribers, the video age, the number of comments, average rating points, and etc. The impact of average rating points is not so much important as we thought before. However, it is needed to increase the number of uploader followers strategically and sustain the contents in the service as long as possible. Second, we need to pay attention to the impacts of betweenness centrality and closeness centrality among other network factors. Users seems to search the related subject or similar contents after watching a content. It is needed to shorten the distance between other popular contents in the service. Namely, this study showed that it is beneficial for increasing view counts by decreasing the number of search attempts and increasing similarity with many other contents. This is consistent with the result of the clustering coefficient impact analysis. Third, it is important to notice the negative impact of degree centrality and eigenvector centrality on the view count. If the number of connections with other contents is too much increased it means there are many similar contents and eventually it might distribute the view counts. Moreover, too high eigenvector centrality means that there are connections with popular contents around the content, and it might lose the view count because of the impact of the popular contents. It would be better to avoid connections with too powerful popular contents. From this study we analyzed the phenomenon and verified diffusion factors of Youtube contents by using an integrated model consisting of general factors and network structure factors. From the viewpoints of social contribution, this study might provide useful information to music or movie industry or other contents vendors for their effective contents services. This research provides basic schemes that can be applied strategically in online contents marketing. One of the limitations of this study is that this study formed a contents based network for the network structure analysis. It might be an indirect method to see the content network structure. We can use more various methods to establish direct content network. Further researches include more detailed researches like an analysis according to the types of contents or domains or characteristics of the conten
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박병언(Byung-Eon Park),박진섭(Jin-Sub Park),정일홍(Il-Hong Jung) 한국디지털콘텐츠학회 2011 한국디지털콘텐츠학회논문지 Vol.12 No.4
In this paper, we have designed and implemented a commercial web system for the future which resolves the necessary security and compatibility to the existing issues in various fields such as theater or the ball park that tickets are issued. The system presents the OTP (One Time Password) system using the mobile in order for defense in the bypass hacking technique such as screen hacking and for greater security. Also, we presents a smart ticketing system that improve the existing responsive hybrid web. It uses Non-ActiveX System which solve compatible problems with present systems that dont use ActiveX. Also, it is available in a variety of environments and equipment. In addition, the system provides an intelligent screen switching systems using the characteristics of mobile devices, an automatic discount system, and a venue information system which shows the shortest distance to the venue considering the commercial portion.
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