• Journal of the Korean Data and Information Science Society
• /
• 제18권4호
• /
• pp.1157-1170
• /
• 2007

LBS must manage various context data and make the best use of this data for application service in ubiquitous environment. Conventional mobile object data management architecture did not consider process of context data. Therefore a new mobile data management framework is needed to process location context data. In this paper, we design a new context management framework for a location based application service. A suggestion framework is consisted of context collector, context manager, rule base, inference engine, and mobile object context database. It describes a form of rule base and a movement process of inference engine that are based on location based application scenario. It also presents an embodiment instance of interface which suggested framework is applied to location context interference of mobile object.

• Journal of Communications and Networks
• /
• 제13권6호
• /
• pp.567-582
• /
• 2011

The growing popularity of the Internet has caused the size and complexity of communications and computing systems to greatly increase in recent years. To alleviate this increased management complexity, novel autonomic management architectures have emerged, in which many automated components manage the network's resources in a distributed fashion. However, in order to achieve effective collaboration between these management components, they need to be able to efficiently exchange information in a timely fashion. In this article, we propose a context dissemination framework that addresses this problem. To achieve scalability, the management components are structured in a hierarchy. The framework facilitates the aggregation and translation of information as it is propagated through the hierarchy. Additionally, by way of semantics, context is filtered based on meaning and is disseminated intelligently according to dynamically changing context requirements. This significantly reduces the exchange of superfluous context and thus further increases scalability. The large size of modern federated cloud computing infrastructures, makes the presented context dissemination framework ideally suited to improve their management efficiency and scalability. The specific context requirements for the management of a cloud data center are identified, and our context dissemination approach is applied to it. Additionally, an extensive evaluation of the framework in a large-scale cloud data center scenario was performed in order to characterize the benefits of our approach, in terms of scalability and reasoning time.

• 지식경영연구
• /
• 제9권4호
• /
• pp.65-75
• /
• 2008

Knowledge workers' workload to register knowledge can cause quality defects in the quality as well as the quantity of knowledge that must be accumulated in a knowledge management system(KMS). To enhance the availability of a KMS by acquiring more quality-guaranteed knowledge, autonomous knowledge acquisition which outdoes the automated acquisition must be initiated. Adopting the capabilities of context-awareness and inference in the field of context-aware computing, this paper intends to autonomously identify and acquire knowledge from knowledge workers' daily lives. Based on knowledge workers' context information, such as location, identification, schedule, etc, a methodology to monitor, sense, and gather knowledge that resides in their ordinary discussions is proposed. Also, a prototype systems of the context-based knowledge acquisition system(CKAS), which autonomously dictates, analyzes, and stores dialogue-based knowledge is introduced to prove the validity of the proposed concepts. This paper's methodology and prototype system can support relieving knowledge workers' burden to manually register knowledge, and hence provide a way to accomplish the goal of knowledge management, efficient and effective management of qualified knowledge.

• International Journal of Computer Science & Network Security
• /
• 제22권9호
• /
• pp.89-94
• /
• 2022

The main purpose of the article is to analyze the system of digital management of labor resources in the context of ensuring personnel security and economic development. In the context of the digital transformation of the economy, much attention is paid to the creation of an innovative personnel management system, as the competition between organizations is intensifying, the victory in which guarantees greater economic benefits. Based on the results of the study, the features and key aspects of the digital management system of the enterprise's labor resources were characterized in the context of ensuring personnel security and economic development. Further research will include consideration of the practical aspects of the digital management system of the enterprise's labor resources.

• 한국경영과학회:학술대회논문집
• /
• 한국경영과학회 2003년도 추계학술대회 및 정기총회
• /
• pp.139-143
• /
• 2003

This paper is a report on in-progress investigation on antecedents of IS success in small and medium size enterprises. Previous studies on IS success in SME context largely extends research models derived from a large enterprise context. This research applies the grounded theory approach to 1109 ISP outputs exploring SME specific constructs in successful IS implementation and management. When successful, results of this research will provide insights into theories of IS in SME context that may practically applicable to IS practice in SMEs.

• 정보과학회 논문지
• /
• 제43권12호
• /
• pp.1365-1375
• /
• 2016

일상생활 환경 속에서 자율적으로 동작하는 서비스 로봇에게 가장 필수적인 능력 중 하나가 동적으로 변화하는 주변 환경에 대한 올바른 상황 인식과 이해 능력이다. 다양한 센서 데이터 스트림들로 부터 신속히 의사 결정에 필요한 고수준의 상황 지식을 생성해내기 위해서는, 멀티 모달 센서 데이터의 융합, 불확실성 처리, 기호 지식의 실체화, 시간 의존성과 가변성 처리, 실시간성을 만족할 수 있는 시-공간 추론 등 많은 문제들이 해결되어야 한다. 이와 같은 문제들을 고려하여, 본 논문에서는 지능형 서비스 로봇을 위한 효과적인 동적 상황 관리 및 시-공간 추론 방법을 제시한다. 본 논문에서는 상황 지식 관리와 추론의 효율성을 극대화하기 위해, 저수준의 상황 지식은 센서 및 인식 데이터가 입력될 때마다 실시간적으로 생성되지만, 반면에 고수준의 상황 지식은 의사 결정 모듈에서 요구가 있을 때만 후향 시-공간 추론을 통해 유도되도록 알고리즘을 설계하였다. Kinect 시각 센서 기반의 Turtlebot를 이용한 실험을 통해, 제안한 방법에 기초한 동적 상황 관리 및 추론 시스템의 높은 효율성을 확인할 수 있었다.

• 디지털산업정보학회논문지
• /
• 제4권3호
• /
• pp.19-31
• /
• 2008

Currently, RFID is receiving attention from the industry and the academy because it is considered as an enabling technology for ubiquitous computing, in particular context perception. In this paper, we survey the existing context-aware RFID systems and introduce three main issues in the systems - the context information, the context-aware services, and the context-aware RFID system architectures. We classify context information into six groups, the services into five context-aware service types, and the systems into four architecture styles. This study will help stakeholders such as customers and developers to understand their RFID systems and to develop new services.

• 국제학술발표논문집
• /
• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
• /
• pp.269-272
• /
• 2011

The impact of a new stadium on the urban context and regional development is significant. Especially where several new stadiums are built for single mega events like the Olympic Games, Commonwealth Games or the Soccer World Cup the impact is even higher. Objective of this paper is to identify and analyze the key drivers for sustainable integration of stadiums within the existing context. The level of sustainability is analyzed based on four different categories: urban, social, environmental and economics. Particular focus is on the project management strategy for implementation of the key drivers during pre-design, design and execution. In conclusion key elements of the project management strategy for sustainable integration of a stadium within the urban, environmental, social and economic context are summarized.

• 한국HCI학회:학술대회논문집
• /
• 한국HCI학회 2009년도 학술대회
• /
• pp.227-231
• /
• 2009

The aim of the research is to focus on the cognitive principles and to achieve human-level intelligence in referring context based browser history and the Windows history. One of the major problems faced by today's computer users is insufficient and single exclusive context based reference of the browser history and the Windows history. Today we search for the browser history and Windows history in different places even though the context is the same. For e.g., When working on a research paper or preparing a business presentation, a user may require to refer many web sites on the internet and various documents on the local computer. The browser can provide only time based history. The windows document history is also time based and limited to list only few documents. Hence, we propose a tool "Cognitive Based Context Aware Reference History Management Tool" which helps to access the exclusive reference of context and time based history in one place. The tool also proposes to store image history with urls and classifies images of a specific topic accessed in different time, bookmarks management and cross browser history management. These features are very useful as we can access all related documents (doc, docx, ppt, pptx, pdf, txt, and html), web pages, images and bookmarks in one place. The tool uses the cognitive principles like classification and association to achieve the purpose.

• 지능정보연구
• /
• 제13권1호
• /
• pp.29-47
• /
• 2007

유비쿼터스 시스템의 중요한 목적은 사용자의 상황을 빠르고 정확하게 인식하여, 선응적인 서비스를 사용자에게 제공해 주는 것이다. 또한 우수한 상황인식 시스템을 위해서는 상황모형이 시스템의 목적에 맞게 잘 설계되어야 한다. 특별히 유비쿼터스 시스템이 특정 도메인의 제약을 뛰어 넘어 통합 환경에서 서비스 제공하는 것을 지향하기 때문에, 기존의 단일 혹은 한정적 서비스만을 고려한 도메인 제한적 상황모형보다는 다중적 서비스에 활용될 수도 있도록 보다 더 일반적인 상황모형(generic context model)을 활용하는 것이 바람직할 것이다. 따라서 본 논문은 다중적 유비쿼터스 서비스에 적합한 상황모형을 이용하여 이질적인 유비쿼터스 환경에서 상황정보를 보다 잘 표현할 수 있도록 하는 일반적 상황모형을 제안하는 것을 목적으로 한다.