• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.298-307
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• 2022

This study, through the potential research variables constituting smartphine shopping utilization, affects to some extent the social relevance and rapid adaptability of technology according to the cognitive age level perceived by customers. Research hypotheses and research models were established and tested to verify the research results on how they affect brand loyalty within the segmented market to which they belong. The purpose of this study is as follows. First, it was verified through the degree of casual relationship between smartphone shopping usage and potential research variables of innovation, convenience, usefulness, and hedonism that compose it, on the cognitive age level. Second, according to the cognitive age level perceived by customers themselves, it was verified through the degree of casual relationship between the mediators of social relevance and technology quick adaptability. Third, the casual relationship between social relevance, technology quick adaptability, and brand loyalty was verified according to the cognitive age level. Fourth, a theoretical study was conducted on the conceptual and operational definitions of the research variables of the research model of this study.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2010.10a
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• pp.190-194
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• 2010

화재감지기는 화재시 발생되는 열, 연기, 불꽃, 독성가스등의 다양한 연소생성물을 감시한다. 기술의 발전으로 화재 감지방식과 기능이 다양해지고 있으며, 이에 따라 다양한 방식의 감지기들이 개발되고 있다. 최근 진보된 감지기들은 화재로 발생 이전에서 부터 감지, 비화재보에 대한 방지는 물론 감지기의 상태 오염 감도 등의 다양 정보를 제공함으로써 유사시 신속하고 정확한 대응이 가능하도록 발전되고 있다. 이러한 진보된 감지기는 막대한 피해가 예상되는 장소, 대피하는데 많은 시간이 소요되는 장소에 적용되어 인명 및 재산피해를 절감 시키고 있다. 일산화탄소감지기 또한 진보된 감지기로 화재 초기 가연물이 연소할 때 발생하는 일산화탄소를 감시한다. 일반화재의 경우 화재 초기에 가연물이 서서히 연소시 불완전 연소로 인한 다량의 일산화탄소가 발생되기 때문에 기존 열, 연기, 불꽃감지기에 비해 빠른 반응을 보여 화재를 조기에 감지함으로써 조기 대응으로 인한 피해를 줄일 수 있을 것이다. 본 연구에서는 실물화재시험 자료를 바탕으로 CO감지기의 조기 감시능력을 확인하였다. CO감지기는 화재초기 발생되는 일산화탄소를 감지하므로 대피시간이 많이 필요한 장소(병원 노인요양시설 학교 백화점 등), 침대 폼메트리스 훈소화재 발생장소(호텔침실 기숙사 숙박업소, 병실 등)등에 적응성이 우수할 것으로 분석된다. 최근 설계되는 초고층 건축물 및 주요 시설물 등에서 화재 시뮬레이션과 가상시나리오 유형 분석을 통해 성능위주의 설계가 적용되고 있다. 그만큼 정확하고 신속한 감지가 중요하다 할 수 있다. CO감지기야 말로 그 기대에 가장 부합될 것으로 분석된다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10c
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• pp.298-300
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• 2001

본 논문에서는 웹, 모바일 환경에 적응 가능하고, 다양한 서비스의 지원이 가능한 글로벌 Peer-to-Peer(P2P) 엔진에서 서비스 모듈, 네트워크 모듈, 레파지토리 모듈간에 발생되는 메시지를 처리하는 메시지 디스패쳐의 설계 경험을 기술한다. P2P엔진이 이 기종 네트워크환경에 적응 가능하고, 다양한 서비스들을 동시에 지원하기 위해서는 피어 간 또는 엔진 내부에서 발생하는 많은 메시지들을 원활히 처리하는 모듈이 필요하다. 이를 위하여 메시지 처리를 위한 글로벌 P2P 엔진의 메시지 디스패쳐를 제안한다. 메시지 디스패쳐는 글로벌 P2P엔진에서 지원하는 서비스 또는 다른 모듈에서 발생하는 메시지들을 우선순위와 마감시간을 이용하여 작업순서를 배열하는 Message Queue, Message Queue에 적재된 메시지들을 분석하여 처리하는 Message Processor, 메시지 디스패쳐와 서비스 또는 각 모듈간의 메시지의 전달을 위한 공유 버퍼인 Service Buffer로 구성되어져 있다. P2P 엔진에서 메시지 디스패쳐를 이용하게 되면 다양만 서비스에 적응가능하고, 모듈간의 투명성을 제공하고, 신속한 메시지의 처리가 가능하게 된다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.6
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• pp.115-133
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• 2020

With the rapid changes in the industry paradigm including the 4th industrial revolution, the survival and sustainable growth of SMEs and venture capital companies are facing a more difficult environment. The organizational capabilities help these companies to overcome the difficulties, such as absorption capacity, innovation capacity, adaptation capacity. It require many interconnected functions and capabilities to increase company performance. This study is based on the research about market adaptation capacity (agility, flexibility)'s mediating effect between organizational capacity(absorption capacity, innovation capacity, adaptation capacity) and corporate performance(financial, non-financial performance). According to the results of empirical analysis, First, Absorption capacity have a significant effect on agility. Second, Innovation capacity have a significant effect on flexibility. Third, Innovation capability have a significant effect on corporate performance. Fourth, Flexibility have a significant effect on corporate performance. Fifth, The mediating effect of flexibility between organizational capability and corporate performance was verified. Finally this paper also propose some suggestions on how to increase corporate performance for SMEs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.4
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• pp.1786-1795
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• 2011

The trajectory control for omni-directional mobile robot is not easy. Especially, the tracking control which system uncertainty problem is included is much more difficult. This paper develops trajectory controller of 3-wheels omni-directional mobile robot using fuzzy multi-layered algorithm. The fuzzy control method is able to solve the problems of classical adaptive controller and conventional fuzzy adaptive controllers. It explains the architecture of a fuzzy adaptive controller using the robust property of a fuzzy controller. The basic idea of new adaptive control scheme is that an adaptive controller can be constructed with parallel combination of robust controllers. This new adaptive controller uses a fuzzy multi-layered architecture which has several independent fuzzy controllers in parallel, each with different robust stability area. Out of several independent fuzzy controllers, the most suited one is selected by a system identifier which observes variations in the controlled system parameter. This paper proposes a design procedure which can be carried out mathematically and systematically from the model of a controlled system; related mathematical theorems and their proofs are also given. Finally, the good performance of the developed mobile robot is confirmed through live tests of path control task.

• Journal of Dairy Science and Biotechnology
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• v.33 no.2
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• pp.119-127
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• 2015

To date, detection of microbial populations in dairy products has been performed using culture media, which is a time-consuming and laborious method. The recently developed chromogenic media could be more rapid and specific than classical culture media. However, the newly developed molecular-based technology can detect microbial populations with greater rapidity and sensitivity than the classical method involving culture media and chromogenic media. This molecular-based technology could provide various options for monitoring the characterization of different states of bacteria and cells. Thus, it could help upgrade the processing system of the dairy industry so as to maintain the safety and quality of dairy foods. Among the various newly developed molecular-based technologies, flow cytometry can potentially be used for monitoring microbiological populations in the dairy industry if official international standards are available for this purpose. When omics technology would have biomarker identification, it could be regarded as the rapid and sensitive analytical methods. Methods based on PCR, which has become a basic technique in microbiological research, can be developed and validated as alternative methods for quantification of dairy microorganisms. This review discusses methods for monitoring microbiological populations in dairy foods and the limitations of these studies, as well as the need for further research on such methods in the dairy industry.

• Journal of Satellite, Information and Communications
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• v.4 no.1
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• pp.1-7
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• 2009

As the information age comes out, the aspect of future war brings about the many changes in terms of war-fighting environment. Accordingly, information superiority and intelligence-centric warfare have been important and new war-fighting concept such as NCW(network centric warfare) have been turned up. This paper proposed all-weather core-strategy communications systems guaranteeing not only the real-time transmission of the information collected in a battlefield and expansion, automation, and rapidity of a battlefield but also broadband, mobility, survivability, and flexibility. The proposed military satellite communications system is classified into wideband mass capacity link, survivability, and the system supporting OTM(on the move) communication for the real-time transmission of battlefield information. This paper analyzed the essential operation concepts and core schemes of the U.S. Army's next generation system, TSAT(Transformational Satellite Communication System). Base on the analysis results, this paper proposed that the architecture of next generation military satellite communications systems for NCW have to provide the data rate, anti-jamming capability, network control and management capability which are optimally adaptable for the wireless channel environments such as jamming and interference and to support the variety of platforms like high-speed mobile vehicles, micromini devices, super-high speed unmanned aerial vehicles. Finally, this paper also proposed that next generation military satellite communications systems need the technologies such as the adaptable multi-antenna, laser link, and next-generation anti-jamming waveform.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1010-1026
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• 2004

The goal of product line engineering is to support the systematic development of a set of similar software systems by understanding and controlling their common and distinguishing characteristics. The product line engineering is a process that develops reusable core assets and develops a set of software-intensive systems from a common set of core assets in a prescribed way. Currently, many software development technologies are accomplished in context of product line. However, much of the product line engineering research have focused on the reuse of work products relating to the software's architecture, detail design, and code. The product lines fulfill the promise of tailor-made systems built specifically for the needs of particular customers or customer groups. In particular, commonality and variability play central roles in the all product line development processes. These must be treated already during the requirement analysis phase. Requirements in product line engineering are basis of software development just like as traditional system development engineering, and basis of deciding other core assets' property - commonalities and variabilities. However, it is difficult to elicit, analyze and manage correct requirements. Therefore, it is necessary to develop systematic methods which can develop and manage requirement as core asset, which can be stable in anticipative change and can be well adapted to unpredictable change. In this paper, we suggest a method of managing requirements as core asset in product line. Through this method, the reuse of domain requirements can be enhanced. As a result, the cost and time of software development can be reduced and the productivity can be increased.

• Informatization Policy
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• v.18 no.4
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• pp.3-21
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• 2011

Knowledge ecosystem means a dynamic knowledge circulation, including knowledge creation, exchange and sharing and utilization. It is also the field of knowledge practice, which creates interactions in knowledge exchange between people and groups. The key premises of knowledge ecosystem, based on the nature of general ecosystems, can be characterized as follows: first, it primarily focuses on social networks between people and organizations participating in the process of knowledge circulation; secondly, knowledge ecosystem thrives on diversity of knowledge; and thirdly, it is significant for selection of valuable knowledge and adoption of appropriate knowledge. This review attempts to make a systematic examination of a wide range of existing studies on knowledge ecosystem. In so doing, it is expected to provide a basis for further inquiry into more critical and complicated issues. Although the scarcity of existing research-at least those in Korea-may limit the implications of findings, this review offers a set of suggestions for future research.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.4
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• pp.50-58
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• 2017

Recently, some methods of converging heterogeneous fire sensor data have been proposed for effective fire detection, but the rule-based methods have low adaptability and accuracy, and the fuzzy inference methods suffer from detection speed and accuracy by lack of consideration for images. In addition, a few image-based deep learning methods were researched, but it was too difficult to rapidly recognize the fire event in absence of cameras or out of scope of a camera in practical situations. In this paper, we propose a novel fire detection system combining a deep learning algorithm based on CNN and fuzzy inference engine based on heterogeneous fire sensor data including temperature, humidity, gas, and smoke density. we show it is possible for the proposed system to rapidly detect fire by utilizing images and to decide fire in a reliable way by utilizing multi-sensor data. Also, we apply distributed computing architecture to fire detection algorithm in order to avoid concentration of computing power on a server and to enhance scalability as a result. Finally, we prove the performance of the system through two experiments by means of NIST's fire dynamics simulator in both cases of an explosively spreading fire and a gradually growing fire.