Earticle

전통적인 형사 사건에서 조사 대상에 관한 정보는 국가의 합법적 조직이 보유하고 있는 개인정보만이 제공되기 때문에 정보 수집에 한계가 있다. 일반 검색엔진으로 검색이 가능한 SNS와 포털사이트를 포함하는 표면 웹 기반 공개정 보(OSINT)는 범죄수사에 사용할 수 있는 의미 있는 프로파일링에 활용할 수 있다. 한국형 공개정보 워크플로우를 사용 하면 공개정보 기반의 효과적인 프로파일링이 가능하지만 “개인”의 경우에는 “성명”으로 시작되기 때문에 수집할 수 있는 공개정보가 제한적이고 동명이인의 정보가 수집되는 등의 신뢰성의 한계가 있다. 본 논문에서는 이러한 한계를 극복하기 위해 개인과 연관된 정보 즉, 등가정보를 정의하고 이를 기반으로 효율적이고 정확한 정보를 수집할 수 있도록 한다. 따라서, 공개정보에서 특정인과 연관된 정보 즉, 등가정보를 추출할 수 있는 개선된 워크플로우를 제시한다. 이때 인물의 인지도에 따라 서로 다른 워크플로우를 제시한다. 이를 통해 인물(개인)의 효과적인 프로파일링이 가능하여 수사 정보 수집의 신뢰도를 높인다. 본 연구를 통해 향후에는 해당 워크플로우를 인공지능 기술을 이용하여 수집된 정보의 분석과정을 자동화할 수 있는 시스템을 개발함으로써 범죄 수사에 있어서 공개 정보 활용을 위한 기틀을 마련하고 수사 방식 다양화에 기여할 수 있을 것이다.

In traditional criminal cases, there is a limit to information collection because information on the subject of investigation is provided only with personal information held by the national organization of legal. Surface web-based OSINT(Open Source Intelligence), including SNS and portal sites that can be searched by general search engines, can be used for meaningful profiling for criminal investigations. The Korean-style OSINT workflow can effectively profile based on OSINT, but in the case of individuals, OSINT that can be collected is limited because it begins with "name", and the reliability is limited, such as collecting information of the persons with the same name. In order to overcome these limitations, this paper defines information related to individuals, i.e., equivalent information, and enables efficient and accurate information collection based on this. Therefore, we present an improved workflow that can extract information related to a specific person, ie., equivalent information, from OSINT. For this purpose, different workflows are presented according to the person’s profile. Through this, effective profiling of a person (individuals) is possible, thereby increasing reliability in collecting investigation information. According to this study, in the future, by developing a system that can automate the analysis process of information collected using artificial intelligence technology, it can lay the foundation for the use of OSINT in criminal investigations and contribute to diversification of investigation methods.

IaaS(Infrastructure as a Service) 클라우드 시스템인 OpenStack은 복수개의 소프트웨어 구성요소로 이뤄지며 각 소프트웨어 컴포넌트들의 구축에 따른 시간적 오버헤드가 크고 약 100여 가지의 구축 명령어를 통해 구축되므로, 시스템을 구축함에 상당한 비효율성이 따른다. 본 논문에서는 기존의 OpenStack 기반 클라우드 시스템 구축 절차를 워크플로우 관점으로 프로파일링 하여, 구축자 관점의 OpenStack 설치 워크플로우 도면 및 워크플로우 기반 의존성 판별 알고리즘을 통해 최적화된 OpenStack 기반 클라우드 플랫폼 설치 Script를 도출하기 위한 구축 프레임웍을 제 안하였다. 기존 OpenStack 공식문서에서 제시된 방법과 달리, 각 소프트웨어 컴포넌트별 의존성과 연관성을 워크플 로우 관점으로 프로파일링하여 개선된 OpenStack 설치 Script는 최대 약 23%까지 구축속도 향상을 보인다.

IaaS(Infrastructure as a Service) cloud system such as OpenStack consist of several software components. Constructing the OpenStack apts to be a time-consuming task because the OpenStack construction requires about one hundred command for downloading, deploying, and configuring each software component. The task leads to user-obstructive latency. As a remedy to these problems, we propose an optimized script for constructing OpenStack-based cloud system by workflow-based dependency detection algorithm. The experimental results of our scheme show that the total elapsed time to complete the OpenStack deployment is up to 23% more time-efficient in comparison with the OpenStack construction procedure.

방송 기술의 최근 흐름은 HDTV와 3DTV에 이어 UHDTV 로 진화되고 있다. UHDTV가 새로운 패러다임으 로 자리매김하고 있으며 우리나라에서도 지상파는 4K-UHDTV의 실험 방송과 케이블, 위성에서는 본방송 서비스가 실시되고 있다. 이러한 4K-UHD 콘텐츠 제작의 활성화를 위한 체계적인 워크플로우가 정립이 필요한 상황이다. 본 연구에서는 전문가 의견을 통한 4K-UHD 제작 워크플로우의 중요 항목을 도출하고 계층적 분석 방법(AHP, Analytic Hierarchy Process)을 적용하여 4K-UHD 콘텐츠 제작에 있어 중요하게 고려되는 항목을 상호 비교 하였다. 워크플로 우의 상위 계층에는 콘텐츠 제작 기획 측면, 미디어 파일 관리 측면 및 제작 장비의 선택과 운영 측면으로 분류 하 였으며 하위 계층에서는 UHD 제작 STAFF 간의 역할과 트레이닝, 미디어 관리, 저장 장치의 선택과 운영이 상대적 으로 중요하게 평가 되었다. 또한 실시간 4K-UHD 제작을 위한 워크플로우를 제시하였다.

The recent flow of broadcasting technology, HDTV and 3DTV are being followed to develop UHDTV. UHDTV has established itself as the new paradigm. In Korea, the 4K-UHDTV experimental terrestrial broadcasting and cable and satellite TV services are being carried out in the present. 4K-UHD content creation workflow to enable a systematic formulation is needed. In this study, Through expert opinion 4K-UHD production workflow to derive the important topics and Hierarchical analysis methods (AHP, Analytic Hierarchy Process) is applied to 4K-UHD content creation is important to consider the items were compared to each other. The upper layer has a content creation workflow planning side, the media file management side and operational aspects of the selection and production equipment were classified. In the lower layer, UHD STAFF roles between production and training, media management, selection and operation of the storage device was evaluated in a relatively important. In addition, real-time 4K-UHD suggested workflow for production.

코로나19 펜데믹이 장기화되면서 비대면 업무가 늘어나고 단순반복적인 질문 및 업무에 대한 자동화 수요가 증가하였으며 성과도 보고 있다. 따라서 기업은 더 나아가 E2E 업무에 복잡한 여러 업무 프로세스를 연계하고 위해 AI 등 다양한 기술을 적용하여 모든 작업을 자동화하려고 시도하고 자동화 업무영역을 확장하고 있다. 하지만 Intelligent Process Automation(IPA)부분으로의 확장은 아직 적용사례 및 관련 솔루션을 찾아보기 어려울 정도로 시작 단계에 머물고 있어 복잡하고 다양한 업무 프로세스들로 구성되어 있는 전사업무의 자동화를 고려하고 있는 기업에서는 도입에 대한 의사결정을 내리기에는 부족한 면이 있다. 본 연구에서는 이를 해결하기 위하여 RPA, Chatbot, AI 기술을 적용한 Hyperautomation Platform(HAP) 구성을 제안하였고, HAP를 사용하여 지능형 프로세스 자동화를 가져올 수 있는 적용방안과 현업 업무에 적용 가능한 구현사례를 제시하여 객관적이고 종합적으로 도입을 검토할 수 있도록 하였으며, Hyperautomation 개념의 실현 가능성을 확인하여 HAP를 적극적으로 활용할 수 있도록 하는데 의미와 가치가 있다.

As the COVID-19 pandemic is prolonged, non-contact work has increased, as well as the demand for automation of simple and repetitive questions and tasks with success of using them. Therefore, companies are attempting to expand the area of automated business and apply various technologies such as AI to complex and various business processes of E2E to provide automation of all business. However, the extension to Intelligent Process Automation (IPA) is still in its beginning stage so that it is difficult to find practical use cases and related solutions. In this aspect, it is safe to say that there is insufficient evidence for companies which have various and complex enterprise processes to make a decision about the adoption. In this study, to solve this problem, a Hyper Automation Platform (HAP) that consists of RPA, Chatbot, and AI technology was proposed. Moreover, an implementation method that can bring intelligent process automation using HAP, and practical use-cases were provided so that it makes it possible to review the implementation of the HAP objectively and comprehensively. This study is meaningful and valuable to check the feasibility of the Hyper Automation concept and to actively utilize HAP.

제로 트러스트는 특정 자원에 대한 시간, 장소, 단말 등의 주체 속성 일체를 신뢰하지 않는 상태에서 보안 수준을 만족한 인가된 사용자에게 최소한의 권한만을 할당하여 자원에 대한 접근을 허가하는 보안 모델이다. 스마트워크나 재택근무가 활성 화되면서 기존 보안 모델의 한계점이 지적되는 상황에서 제로 트러스트 보안 모델이 강조되었다. 많은 정보보호 전문기관에서 는 보안 환경 변화에 따라 제로 트러스트의 긍정적인 효과에 집중하여, 제로 트러스트 모델을 적용하기 위한 전략이나 발전 방향, 적용 방법 등을 제시하였다. 그러나 제로 트러스트 모델을 Enterprise 환경에 적용하기 위해서는 보호 대상 자원이 위치 하는 지점마다 보안 기능을 적용해야 하며, 보안 기술과 솔루션을 통합해야 한다. 또한, 사용자 인증 정책 및 접근통제 정책에 적용되는 주체와 객체의 보안 속성이 매우 상세한 수준이기 때문에 관리적인 부담감이 증가한다. 그러므로 제로 트러스트 모 델을 Enterprise 환경에 적용하기 이전에, 구축 및 운영, 유지보수 가능 여부를 평가해야 한다. 물론 제로 트러스트 기반의 보 안 아키텍처와 이를 구현하기 위한 보안 관리 모델에 관한 후속 연구도 요구된다.

Zero Trust is a security model that grants access to resources by assigning only least privilege to an authorized subject that satisfies the security level without trusting all subject attributes such as time, place, and terminal for the protected resource. As smartwork, remote work, and mobile work became common, the limitations of the existing security model were pointed out, and a zero-trust security model was suggested. Many information security organizations have suggested strategies, development directions, and methods for applying the zero trust model, focusing on the positive effects of zero trust caused by changes in the security environment. However, in order to apply the zero trust model to the enterprise environment, security functions must be applied at each point where the resource to be protected is located, and security technologies and solutions must be integrated. In addition, because the security attributes of subjects and objects applied to the user authentication policy and access control policy are at a very low level, the administrative burden increases. Therefore, before applying the zero trust model to the enterprise environment, it is necessary to evaluate whether it is possible to build, operate, and maintain. Of course, a follow-up study on a security architecture based on zero trust and a security management model for implementing it is also required.

Digital pathology incorporates the acquisition, management, sharing, and interpretation of pathological information, including slides and data, in a digital environment. Digital slides are created using a scanning de-vice to capture a high-resolution image on glass slides for analysis on a computer or a mobile device. Though digital pathology has drastically grown over the last 10 years and has created opportunities to support specialists, few have attempted to address its full-scale implementation in routine clinical practice. To incorporate new technologies in diagnos-tic processes, it is necessary to study their application, the value they provide to specialists, and their effects on improvements across the en-tire workflow, rather than studying a particular element. In this study, we aimed to identify what have the current digital pathology systems contributed to the pathological and diagnostic process. We retrieved articles published between 2010 and 2020 from the databases PubMed and Google Scholar. We explored how digital pathology systems can better utilize existing medical data and new technologies within the current diagnostic workflow. While the evidence concerning the effica-cy and effectiveness of digital pathology is mounting, high-quality evi-dence regarding its impact on resource allocation and value for diagno-sis is still needed to support clinical diagnosis and policy decision-mak-ing.

Reproducibility is a critical issue in protein structure analysis, especially in drug discovery workflows. Previous methods do not consistently produce reliable results across systems and do not provide deterministic outcomes in protein analysis. This work proposes a tri-layered blockchain-inspired architecture that leverages cryptographic metadata and capabilities to validate protonation states and guarantee deterministic results and data integrity across protein structure preparation and ensure reproducible binding site analysis. The results show 100% reproducibility with a 1745.1% performance overhead with execution time still under 11 s, enhancing data security and offering a reliable solution for computational drug discovery workflows. This system enhances confidence in computational drug discovery workflows.

While generative AI's Video-to-Video technology has rapidly advanced, challenges remain in video production requiring complex camera movements and precise angle control. This study proposes a workflow that validates precise camera control by inputting reference videos created with Unity game engine into Video-to-Video generative AI. We designed five camera control missions (120⁰ rotation, vertical crane shot, compound dolly zoom, spiral orbit, and multi-angle transition) and created reference videos using Unity for each mission, then generated final videos using Runway Gen-3's Video-to-Video functionality. Focus group interviews with 5 video production experts showed that Unity references accurately conveyed camera movements across all missions (average 4.6/5 points), maintaining high accuracy (4.5 points) even in complex spiral orbit missions. Experts identified frame-level precise control, ease of iterative modification, and predictable results as key advantages, with all participants expressing intention to apply this in professional practice. This study empirically demonstrates that game engine-based reference generation is a practical solution to camera control challenges in generative AI video production.

This paper evaluates SnapCheck.io, a smart workflow platform aimed at improving the efficiency of project management in remote work environments. Through the use of AI-driven task scheduling, smart time tracking, and real-time analytics, SnapCheck.io enhances resource utilization and lowers the waiting time for task dependency. A mixed-method study at various organizations showed an improvement in performance by 18%, which was thus corroborated by the increased rate of task completion and quicker workflow execution. The results reveal that the use of intelligent automation in SnapCheck.io not only helps in streamlining the project coordination process but also promotes the ongoing productivity and collaboration of distributed teams.

디지털보존은 디지털정보를 장기적으로 보유하여 이용자로 하여금 지속적으로 접근이 가능하도록 하는 일련의 행위를 말한다. 이를 위해서는 기술적인 문제를 포함하여 정책적인 문제, 기관의 역할, 법적 및 저작권 문제, 메타데이터 전략 등 여러 가지 복잡한 세부 과제들을 해결하여야 한다. 본 논문은 이 중에서 디지털보존과 관련된 기술적인 문제를 2가지로 구분하여 정리하고 있다. 먼저, 디지털보존의 기본적인 개념을 형성하는 요소인 디지털객체, 디지털객체의 수명주기, 아카이빙 워크플로우를 시스템의 입장에서 정의하였다. 둘째, 기술보존, 에물레이션, 파일재생, 포맷전환, 캡슐화 등 디지털보존에 사용되는 주요한 보존처리 기술을 비교분석하였다.

119 -The objective of digital preservation is to ensure that digital information survives in usable form for as long as it is wanted. That is to ensure long-term access to digitally stored information. The preservation of digital objects involves a variety of challenges, including policy questions, institutional roles, legal and rights issues, metadata, and technical strategies. In this paper, I introduce the definition of digital object, life-cycle of digital object, and related archiving workflow which are basic concepts of digital archiving. Also I focus on the aspects of current techniques used in digital information preservation including technology preservation, emulation, refreshing, migration, encapsulation.

Objectives : This study aimed to investigate the impact of the Narcotics Information Management System (NIMS) on pharmacy workflow and to propose appropriate manpower size and reimbursement fees for safer narcotics management. Methods : A survey was carried out to investigate the time spent on each of the four narcotic management duties (preparation, management, reporting and monitoring & education [M&E]) and the relative value of workload. Duty definition and survey questionnaire were developed through focus group interviews and previous studies. The manpower standards were calculated using the time required per day as full time equivalent units. Relative value was calculated following an examination of the relative importance and work intensity of each workload component. Results : Twenty tertiary hospitals and fourteen general hospitals responded (response rate 62% and 11%, respectively) in this analysis. There was a large variation in the length of time spent on each task across institutions. A large amount of time was used on basic tasks and the performance rates of M&E were quite low. The required manpower was calculated as 1 FTE per 170 prescription sheets based on the current conditions and 1 FTE per 132 sheets based on the secured time for work practice improvement. The relative value for narcotics management was calculated as approximately 3 when the standard conduct value was set to 1. To sum up, the dispensing-counseling fee needs to be increased by 50%~60% and the narcotics management fee needs to be doubled. Conclusion : To meet NIMS goal, it is necessary to standardize relevant work through national guidelines, introduce legal grounds for each scope of task and secure dedicated manpower. It is also necessary to reflect the relative value of narcotics management after NIMS and improve the related fee structure.

연구목적: 본 연구는 간호사가 간호기록을 효율적으로, 오류 없이, 만족스럽게 수행할 수 있도록 사용성이 향상된 전자간호기록(ENR) 시스템 개발과 관련한 사용자 요구사항 규명을 위해 수행되었다. 연구방법: 본 연구는 혼합연구 설계로 간호업무 내용과 업무흐름 패턴 분석, 시스템 사용성과 ENR에 대한 문헌고찰이 이루어졌으며, 이를 기초로 추상적 단계의 유스케이스 도출과 타당도 조사가 이루어졌다. 업무내용과 업무흐름 패턴 분석은 6개 종합병원에서 타임모션 방법으로 내외과, 중환자실에서 무작위 층화표출 한 간호활동 로그 샘플 중 무작위 추출된 21회 근무조 데이터였다. 문헌고찰은 간호계, 의료정보학 분야 학회와 협회, 국립표준원에서 개발한 원칙, 지침, 권고사항, 가이드라인 중심으로 이루어졌다. 유스케이스 타당도는 8명의 실무 전문가 패널과 2명의 학계 전문가 패널이 참여한 델파이 조사를 통해 각 유스케이스별, 상세 항목별 중요도(5점 Liker scale)와 수렴도로 측정되었다. 연구결과: 업무분석과 문헌고찰로부터 최종 9개 유스케이스와 상세 내용이 도출되었으며, 4회 데파이 조사 과정을 유스케이스와 항목 내용이 정련되었다. 최종 확정된 유스케이스와 항목에 대해 중요도는 4점 이상이었으며, 수렴도는50 ~ 70%이상을 보였다. 결론: 전자간호기록 시스템 요구사항으로 도출된 9개 유스케이스는 사용성 향상을 위해 기존 시스템 개선과 차세대 시스템 개발에 필수적으로 고려되어야 할 내용이다

Purpose: To identify user requirements for electronic nursing record (ENR) systems so as to ensure system usability. Methods: A mixed methods approach were applied in three steps : (i) task and workflow analysis with literature review of nursing documentation, (ii) literature reviews of system usability, and (iii) Use Case idenfication and consensus-based validation. We analyzed the nursing activity logs collected from a time-motion investigation of six hospitals. The Use Cases were validated by eight clinical experts from different hospitals and two experts from academia in a sequential Delphi survey. Consensus was achieved for the significance score and agreement among the panel. Results: Eight task groups and patterns of task flow were observed, which were translated into nine Use Cases. The specification of Use Cases was derived from principles, guidelines, and recommendations on nursing documentation and electronic health record systems, which was organized into three requirements of each Use Case: functionality, information, and design characteristics. Each Use Case achieved an agreement of 50~70%, and significance scores of 4 or 5 on a 5-point Likert scale. Conclusion: The nine Use Case identified were considered to be important and adequate in terms of both clinical and informatics contexts.