• 정보처리학회논문지:소프트웨어 및 데이터공학
• /
• 제7권1호
• /
• pp.19-24
• /
• 2018

IoT 플랫폼은 다양한 사람과 사물의 가상세계를 객체로 연결하는 확장 가능한 IoT 애플리케이션 및 서비스의 개발을 위한 핵심 요소들이다. 그러나 IoT 플랫폼 시장은 매우 복잡하고 빠르게 변하고 있다. 이러한 IoT 플랫폼은 유용한 정보를 제공하고 단순한 기능을 수행하기 위해 IoT 디바이스와의 협업을 통해 서비스를 제공한다. 공통 서비스를 수행하기 위해 범용 서비스 인터페이스가 필요하며 IoT 장치 및 리소스 설정뿐 아니라 다양한 장치의 협업 환경에 따라 다양한 IoT 아키텍처가 구성된다. 기기의 이질성으로 인해 매번 다양한 IoT 서비스로 작업하는 응용 프로그램을 개발하는 것은 상당히 어려우며 이러한 응용 프로그램을 유지 관리하기가 훨씬 어렵다. 이러한 모든 문제는 IoT 장치 간의 이식성 및 이동성으로 인한 결과로 본 논문에서는 공통의 특징을 갖는 모든 IoT platform에서 수행될 수 있는 범용 인터페이스를 정의한다. 기존의 디자인 패턴을 채택하여 IoT 플랫폼의 공통화된 연결성을 제공하는 범용 인터페이스는 이질성 문제를 해결하고 다양한 IoT 플랫폼에서 수행 가능한 플랫폼 독립적인 Generic Interface가 수행될 수 있음을 확인했다.

• 수산경영론집
• /
• 제49권4호
• /
• pp.69-81
• /
• 2018

The fishing vessel buyback program, that is, the project of fishing vessel reduction is a complex challenge that needs to take into consideration for both fishing resource protection and industrial restructuring. By the way, the fishing vessel buyback program in Korea is still poorly fruitful and there are few applications for the project in the country. For example, the buyback program of this nation has some problems like uncertainly set goals, conflicts among targets, no flexibility in the program implementation, low participation in the project and lack in follow-up actions. To solve these problems, this study offers the following alternatives. First, it is setting up detailed targets for fishing vessel buyback. Those targets should be what can be actually driven under policy support, such as reduction in illegal fishing, decrease in an exact number of fishing vessels and decline in fishing capacity rather than what seem to be comprehensive such as protection of coastal or offshore fishery and industrial restructuring. Second, it is taking measures for the livelihood of those who would face disadvantages due to fishing vessel reduction. Those measures providing or supporting the re-education and re-employment of fishery workers and building up systems that help the workers transfer fishing to another job. Third, it is adopting the governance system that overcomes lacks in communications between the fishing vessel buyback program and improves the performance effectiveness of that program. Here, governance means that businesses and authorities concerned in the program interact and cooperate with one another in making and implementing policies related to the project of fishing vessel reduction and assessing the results of that project. Fourth, it is taking actions for fishery reorganization after the fishing vessel buyback program. Factors that can be considered as those actions include supporting fishery workers' cost of fishing vessel reduction, decreasing and modernizing fishing fleets and improving the quality of fishing equipment. In conclusion, the fishing vessel buyback program should be prepared with comprehensive actions or measures that can cope well with a variety of problems that may be arisen from it while keeping itself on the track of its original goals.

• 한국물환경학회지
• /
• 제36권6호
• /
• pp.621-635
• /
• 2020

Water quality models are scientific tools that simulate and interpret the relationship between physical, chemical and biological reactions to external pollutant loads in water systems. They are actively used as a key technology in environmental water management. With recent advances in computational power, water quality modeling technology has evolved into a coupled three-dimensional modeling of hydrodynamics, water quality, and ecological inputs. However, there is uncertainty in the simulated results due to the increasing model complexity, knowledge gaps in simulating complex aquatic ecosystem, and the distrust of stakeholders due to nontransparent modeling processes. These issues have become difficult obstacles for the practical use of water quality models in the water management decision process. The objectives of this paper were to review the theoretical background, needs, and development status of water quality modeling technology. Additionally, we present the potential future directions of water quality modeling technology as a scientific tool for national environmental water management. The main development directions can be summarized as follows: quantification of parameter sensitivities and model uncertainty, acquisition and use of high frequency and high resolution data based on IoT sensor technology, conjunctive use of mechanistic models and data-driven models, and securing transparency in the water quality modeling process. These advances in the field of water quality modeling warrant joint research with modeling experts, statisticians, and ecologists, combined with active communication between policy makers and stakeholders.

• 상하수도학회지
• /
• 제35권1호
• /
• pp.93-100
• /
• 2021

Forward osmosis (FO) process is a chemical potential driven process, where highly concentrated draw solution (DS) is used to take water through semi-permeable membrane from feed solution (FS) with lower concentration. Recently, commercial FO membrane modules have been developed so that full-scale FO process can be applied to seawater desalination or water reuse. In order to design a real-scale FO plant, the performance prediction of FO membrane modules installed in the plant is essential. Especially, the flux prediction is the most important task because the amount of diluted draw solution and concentrate solution flowing out of FO modules can be expected from the flux. Through a previous study, a theoretical based FO module model to predict flux was developed. However it needs an intensive numerical calculation work and a fitting process to reflect a complex module geometry. The idea of this work is to introduce deep learning to predict flux of FO membrane modules using 116 experimental data set, which include six input variables (flow rate, pressure, and ion concentration of DS and FS) and one output variable (flux). The procedure of optimizing a deep learning model to minimize prediction error and overfitting problem was developed and tested. The optimized deep learning model (error of 3.87%) was found to predict flux better than the theoretical based FO module model (error of 10.13%) in the data set which were not used in machine learning.

• Nutrition Research and Practice
• /
• 제15권sup1호
• /
• pp.94-109
• /
• 2021

BACKGROUND/OBJECTIVES: The coronavirus disease 2019 (COVID-19) outbreak has dramatically changed nearly every aspect of our lives. Although Dietary lifestyle includes attitudes and behaviors to meet their most basic needs, but few studies have examined the pattern of changes in dietary lifestyle driven by COVID-19. This study explores changes in dietary attitudes and behaviors among Korean consumers after COVID-19. SUBJECTS/METHODS: An online survey was conducted with 549 Korean adults aged 20 and older to identify general demographics and changes in dietary attitudes and behaviors. Data were collected from Oct 12 to Oct 18, 2020. Frequency, percentage, and mean values were calculated and a K-means cluster analysis was performed to categorize consumers based on the 5S of dietary attitudes (i.e., savor-oriented, safety-oriented, sustainability-oriented, saving-oriented, and socializing-oriented). RESULTS: Findings indicate consumers considered safety, health, and freshness to be most important when choosing groceries and prepared meal such as home meal replacement and delivery food. Among the types of services, a large proportion of consumers increased their delivery and take-out services. Regarding retail channels, the increase in the use of online retailers was remarkable compared to offline retailers. Finally, consumers were classified into four segments based on changes in dietary attitudes: "most influenced," "seeking safety and sustainability," "abstaining from savor and socializing," and "least influenced." Each type of consumer exhibited statistically significant differences by sex, age, household composition, presence of disease, and perceived risk of COVID-19. CONCLUSIONS: This exploratory study provides initial insights for future research by identifying various aspects of dietary attitudes and behaviors among Korean consumers after COVID-19.

• 수완나부미
• /
• 제13권2호
• /
• pp.109-134
• /
• 2021

Indonesia has undergone the rapid deforestation largely as a result of practical consequences of human overexploitation of the forest. Between 1950 and 2015, around 43% of the forest area in Indonesia had been lost (68.0 million hectares). The process of deforestation has partly been a response to the rapidly intensifying 'global' and 'domestic' economic demands. Deforestation in Indonesia is also indirectly due to 'materialism-driven' value system and the corresponding weakening of Indonesian ethics. Therefore, given that socio-cultural expressions of modern Indonesian value systems have mostly taken place within a framework of Islam, the aim of the paper is to attempt to find Islamic ethics in general, which can provide the basis of ecological ethics to prevent rapid deforestation in Indonesia. The paper is composed of the followings. First, following the 'Introduction', it outlines the historical process of deforestation in Indonesia and also its corresponding socio-economic contexts. Then it moves on to talk about ecological ethics in general, thereby emphasizing that the phenomenological problem of deforestation needs to be conceived at a philosophical level beyond ecological phenomena. After discussing the ecological ethics, the paper proceeds to examine Islamic ethics as a canonical framework of ecological ethics in Indonesia. In doing so, it attempts to apply the Islamic ethics to the diverse Indonesian society and then considers 'Pancasila' as a potential framework for a pragmatic link between Islam ethics and Indonesian society. Having said that, in conclusion, the paper argues that there is a need for 'concrete' translation of 'Pancasila' into implementation in an Indonesian context, thereby various agents (government, policy-practitioners, concessionaires and also all the Indonesian) may agree in saying 'no' to overexploitation of the forest, to rapid depletion of the forest and to 'unsustainable' development practices.

• 한국콘텐츠학회논문지
• /
• 제21권12호
• /
• pp.132-139
• /
• 2021

본 코퍼스 기반 연구는 통사론 영역에서 자주 등장하는 학술어휘들을 목록화하고 추출된 단어 목록을 Coxhead(2000)의 학술어휘 목록(AWL) 및 West(1953)의 기본어휘 목록(GSL)과 비교하여 통사론 코퍼스 내의 어휘 분포와 범위를 조사하였다. 이를 위해 영어교육 전공자들이 주로 사용하는 필수 통사론 전공 서적을 546,074 단어 수준의 전문 코퍼스로 구축한 다음 AntWordProfiler 1.4.1로 분석하였다. 빈도를 기준으로 분석한 결과 16회 이상 등장한 학술어휘는 288개(50.5%), 15회 이하 등장한 학술어휘는 218개(38.2%)로 나타났다. AWL과 GSL의 출현 범위는 각각 9.19%와 78.92%로 나타났으며 GSL과 AWL을 포함한 비중은 전체 토큰의 88.11%에 달하였다. AWL이 광범위한 학술 요구를 충족시키는데 중추적인 역할을 할 수 있다는 점을 감안할 때, 본 연구는 학문 문식성과 학업 능력을 향상시키기 위한 방안으로 학문 분야별 학술 어휘목록을 편성할 필요가 있음을 강조하였다.

• Asia Marketing Journal
• /
• 제17권1호
• /
• pp.97-121
• /
• 2015

In this research, we examine whether and why temporal distance influences evaluations of two different types of brand extensions: concept-based extensions, defined as extensions primarily based on the importance or relevance of brand concepts to extension products; and similarity-based extensions, defined as extensions primarily based on the amount of feature similarity at the product-category level. In Study 1, we test the hypothesis that concept-based extensions are evaluated more favorably when they are framed to launch in the distant rather than in the near future, whereas similaritybased extensions are evaluated more favorably when they are framed to launch in the near rather than in the distant future. In Study 2, we confirm that this time-dependent differential evaluation is driven by the difference in construal level between the bases of the two types of extensions - i.e., brand-concept consistency and product-category feature similarity. As such, we find that conceptbased extensions are evaluated more favorably under the abstract than concrete mindset, whereas similarity-based extensions are evaluated more favorably under the concrete than abstract mindset. In Study 3, we extend to the case for a broad brand (i.e., brands that market products across multiple categories), finding that making accessible a specific product category of a broad parent brand influences evaluations of near-future, but not distant-future, brand extensions. Combined together, our findings suggest that temporal distance influences brand extension evaluation through its effect on the importance placed on brand concepts and feature similarity. That is, consumers rely on different bases to evaluate brand extensions, depending on their perception of when the extensions take place and on under what mindset they are placed. This research makes theoretical contributions to the brand extension research by identifying one important determinant to brand extension evaluation and also uncovering its underlying dynamics. It also contributes to expanding the scope of the construal level theory by putting forth a novel interpretation of two bases of perceived fit in terms of construal level. Marketers who are about to launch and advertise brand extensions may benefit by considering temporal-distance information in determining what content to deliver about extensions in their communication efforts. Conceptual relation of a parent brand to extensions needs to be emphasized in the distant future, whereas feature similarity should be highlighted in the near future.

• 한국컴퓨터정보학회논문지
• /
• 제14권3호
• /
• pp.13-26
• /
• 2009

본 논문에서는 현재 많은 산업 현장에서 자동 제어를 위한 시스템으로 사용하는 PLC를 대체하기 위한 시스템으로 RTOS 기반 시스템을 제안하였다. RTOS 기반 시스템은 PLC의 한계를 극복하고 시스템의 안정성곽 신뢰성을 보장하기 위한 방법으로 PC와 RTOS를 사용하는 시스템이다. 그리고 PLC 기반 시스템을 RTOS 기반 시스템으로 변환하기 위한 방법으로 시스템 모델을 통한 변환 방법을 제안하였고 변환 절차와 변환 방법을 설명하였다. 시스템 모델은 PLC 기반 시스템을 RTOS 기반 시스템으로 변환하기에 앞서 시스템을 상위 레벨에서 하위레벨로 태스크 단위로 분석한 것으로 시스템을 모듈 별로 정의하고 정의된 모듈의 동작을 태스크로 세분화하여 정의한 것이다. 모듈 별로 시스템을 제어하는 것은 PLC를 통한 제어에 비해 성능뿐만 아니라 기능적으로도 향상을 가져오고 추후 시스템의 수정이나 변화 시에도 더 유연하게 대처할 수 있다.

• 예술인문사회 융합 멀티미디어 논문지
• /
• 제5권4호
• /
• pp.753-760
• /
• 2015

국내 와인 시장은 매년 대중적 오프-트레이드(Off-Trade) 시장을 중심으로 꾸준히 성장하고 있는데, 이는 와인이 더 이상 일부 애호가 중심의 소비 경향만은 아님을 보여준다. 일반적으로 와인 제품을 구매하는 일은 구매 시 다양한 실패 포인트로 인해 어려움을 겪는 것으로 알려져 있다. 많은 와인 구매자는 와인 구매 전 단계, 구매 도중, 구매 후 과정에서 각기 다른 어려움을 느낀다. 와인구매 그룹은 보통 와인전문가, 와인애호가, 초보자, 문외한 집단으로 구분할 수 있다. 각 집단의 특성마다 지각하는 위험을 분석하고 필요한 와인 구매 시 실패를 줄일 수 있는 방안을 찾기 위해 구매 집단을 리크루팅하였으며, 구매자 페르소나(Persona)를 모델링하고 구매 실패 요인을 극복할 수 있는 시나리오를 도출하는 가이드 개발을 도모하였다.