• International Journal of Naval Architecture and Ocean Engineering
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• v.6 no.3
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• pp.670-684
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• 2014

Ship Information Systems (SISs) have been one of the main research focuses in ship design and become a multidisciplinary area. With these growing research trends, it is important to consolidate the latest knowledge and information to keep up with the research needs. In this paper, the SIS and its different forms are introduced and discussed. The beginning of this paper discusses the history and evolution of SIS. The next part of this paper focuses on different fields and research areas such as networking technology, information fusion, information decision, message display, ship control in real-time SISs. A Semi-Physical Simulation Platform (SPSIM) designed for SIS research and its running effect through a new Fuzzy-PID fusion algorithm are introduced in this paper then. A brief literature survey and possible future direction concerning each topic is included.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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• pp.227-237
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• 2003

U-learning stresses the ubiquitous networking environment where different sizes of U-devices, let alone the dominant PCs, comprise a background infrastructure to enhance knowledge and performance. This paper suggests a U-learning system that will provide an alternative for the hectic private lessons, particularly English training among grade-school students. Several points are suggested of the U-system to be a cost-effective alternative. Besides the corresponding advancement of U-networking, the production of a profitable business model harnessing the emerging technology is most urgent. The Government authorities should recognize the potential U-social system solutions, and take an initiative to develop them. The latest technology seems to throw a light to the upcoming social systems applied in various fields of social needs.

• Journal of Information Technology Services
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• v.11 no.4
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• pp.309-333
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• 2012

Recently, emergence of smart-phones and Social Networking Service(SNS) would offer the market environment changes and the opportunities for new business. For the case analysis comprehensive survey were implemented. And those data were analyzed along the research framework. The late-comer firms offered differential services, maintained creative and opened corporate culture, shoed learning capabilities which means absorption and organization of external knowledge, innovative efforts to control the insurgents than early-mover firms. When we analyze these phenomena along the developmental stages of late-comer, we can perceive that the stage of late-comers firms were moving from the "tracing the path" stage to "jumping the path" stage which means the creating capabilities were more or less enhanced and the firms become more stable in terms of business operation. In business model, early-mover firms showed clear definition for each business element, especially the revenue structure, while late-mover firms seemed unstable or unclear revenue structure.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.1
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• pp.64-71
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• 2005

In this paper we are investigating how ubiquitous revolution in knowledge society changes the education system. By the help of ubiquitous computing and networking techniques we estimates the configuration of e-teaming in the age of knowledge -based society, and we examines Education Model with e-teaming and ICT (Information and Communication Technology) at e-School. We also suggest the feasible design of the e-School and a Blended-learning scheme based on cooperative education as a way of teaching Education.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.168-170
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• 2014

SDN(Software Defined Networking)은 프로그래밍을 통해 네트워크 경로 설정과 제어 및 기존에 복잡했던 운용관리를 처리할 수 있게 해주는 기술이다. 하지만 중앙 집중 식으로 관리하는 특성에 따라 병목현상이 발생할 수 있으며, 이는 컨트롤러에 트래픽이 집중되고 제어 명령을 지연시키는 문제가 있다. 본 논문은 이러한 문제점을 개선하고자 확장성 있는 메시지 플로우 제어 메커니즘을 제안한다. 이 방법은 기존 스위치와 다르게 목적지만을 저장하는 Table 을 별도로 관리하여 동일한 목적지로 전송되는 패킷에 대해 반복되는 제어 메시지를 감소시킨다. 이를 통해 컨트롤러의 역할을 스위치로 분산하여 Control Plane 트래픽에 대한 부하를 줄일 수 있고, 패킷 전송 Delay, Flow Setup 동안 발생하는 Latency 의 문제점을 효율적으로 개선 할 수 있다.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.1
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• pp.83-95
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• 2009

This paper provides a general overview and critical assessment of Daedeok Science Town (DST) in Korea, mainly through the lens of the related literature. DST symbolizes the government-led creation of a new science town and represents a bold attempt to consolidate national R&D efforts in a designated area with a view to supplying basic scientific knowledge to industries nationwide. It has achieved considerable success by improving the research environment and promoting venture spin-offs and network formation. However, while DST has played a pivotal role in ushering in the era of the knowledge-based economy, new measures are required for it to remain viable. To this end, efforts should be made to direct government support toward new firm establishment, finance, and tighter networking. DST also needs to host large corporations in the area as these could both act as a market for venture businesses and serve as providers of funds.

• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.63-72
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• 2013

Business Process Intelligence (BPI) is one of the emerging technologies in the knowledge discovery and analysis area. BPI deals with a series of techniques from discovering knowledge to analyzing the discovered knowledge in BPM-supported organizations. By means of the BPI technology, we are able to provide the full functionality of control, monitoring, prediction, and optimization of process-supported organizational knowledge. Particularly, we focus on the focal organizational knowledge, which is so-called the BPM activity-performer affiliation networking knowledge that represents the affiliated relationships between performers and activities in enacting a specific business process model. That is, in this paper we devise a statistical analysis method to be applied to the BPM activity-performer affiliation networking knowledge, and dubbed it the activity-performer correspondence analysis method. The devised method consists of a series of pipelined phases from the generation of a bipartite matrix to the visualization of the analysis result, and through the method we are eventually able to analyze the degree of correspondences between a group of performers and a group of activities involved in a business process model or a package of business process models. Conclusively, we strongly expect the effectiveness and efficiency of the human resources allotments, and the improvement of the correlational degree between business activities and performers, in planning and designing business process models and packages for the BPM-supported organization, through the activity-performer correspondence analysis method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.6
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• pp.2528-2539
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• 2012

In the 21st century, knowledge is an important asset to improve productivity in the business world. In today's rapidly changing business environment, companies have rigorously brought in knowledge management system in order to secure the sustainable competitiveness and effective knowledge management. Knowledge management has now become mandatory, not optional. Today many companies which have built knowledge management on top of information technology and hardware-based infrastructure are having a difficulty in creating organizational culture in knowledge management. Even though companies have invested substantial time and money in knowledge management, the performances have not met their expectations. To solve this problem, software oriented strategy for knowledge management such as education and networking is more needed rather than hardware oriented strategy such as information technology systems. Though the knowledge management framework suggested in this study is exploratory, this study contributes to the clarification of the critical elements that companies which are about to build knowledge management should take in account.

• International Journal of Knowledge Content Development & Technology
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• v.9 no.1
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• pp.19-42
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• 2019

This study examined activities involving the finding, organizing, managing, and re-finding of information by knowledge workers in Kuwait. This research also conducted a review of the tools needed for effective personal information management (PIM) and assessed perceptions about improving PIM through Internet use. Data were collected through semi-structured interviews conducted among 26 graduates of the Department of Information Studies at Kuwait University. These participants are currently employed in different sectors engaged in a variety of information-related activities. This study's findings indicated that participants gathered different types of information from a variety of sources. This information was stored using several devices and services, including desktop computers, shared drives, clouds, bookmarked websites, e-mail correspondence, and favorites lists. Participants organized information in personal folders according to categories such as subject/topic, time, project, document type, and geographical region. Preferred methods for information re-finding included searching by keyword and browsing through folders. Interviewees reported problems of information overload, fragmentation, and anxiety. Most were active in social media via mobile device, while some of them used Siri or Ask Google to retrieve information. Tools used for PIM included calendars, tasks, schedules, e-mail management tools, clouds, and social networking tools. Participants reported that the Internet helped with personal information management practices, but that some privacy issues arose in this context.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.2
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• pp.284-310
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• 2024

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.