• 유통과학연구
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• 제19권7호
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• pp.87-100
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• 2021

Purpose: This paper examined the role of conditional value in the green automotive industry. The relationships of conditional value's four factors, consumers' attitudes and consumers' intention to purchase green cars were investigated. The conditional value was extended by examining the effect of fuel prices. Research design, data, and methodology: This study is quantitatively designed. All variables were measured using a 7-point Likert-scale; 425 questionnaires were collected from the respondents in Malaysia. SmartPLS was utilized to examine the proposed nine hypotheses. Result: The results demonstrate a positive relationship between attitude and intention toward green cars. Additionally, the results of the relationships were as follows: fuel prices was the most significant predictor of Malaysian consumers' attitudes and consumers' intention to purchase green cars, followed by environmental consequences and government policy. However, retail sales promotions did not show a significant effect on both consumers' attitudes and intentions. Conclusion: The study's findings suggest that the Malaysian government should implement an integrated package that includes a fuel pricing policy that restricts the purchase of non-green cars, as well as a set of financial incentives for purchasing green cars. Moreover, it is valuable to conduct public awareness campaigns about the negative consequences of current consumption patterns.

• 한국의류학회지
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• 제35권1호
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• pp.104-114
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• 2011

There is rising interest in green energy, energy efficient equipment, and products as countries show increased interest in 'Low Carbon and Green Growth'. The cellphone has become one of the essential influences on modem people beyond the meaning itself by the release and the commercialization of the Smartphone. Thus, it considers that the introduction of fashion for cellphones and digital devices to be always on should be a quite natural design attempt for humans to wear clothes at all times. In addition, outdoor activities increase as the population enjoys more sports and leisure time that requires the development of specialized outwear such as the development of a functional jacket. This specialized field is associated with higher value-added businesses. This study made a prototype of a functional jacket equipped with solar cells that established a system of a fashion design that is harmonious with green growth as a plan to measure of fashion design for green growth. The objects of this study are as follow: First, the study seeks a design method for green growth. Second, it makes a prototype to present the improved design method. Third, it presents the establishment of a design system that considers green growth and the concrete measures practical for the system. It established the design system and made the prototype of functional jacket equipped with solar cells, LED, and digital devices as a measure of design for green growth based on the improvement plan of the design that the problems had been supplemented for. Previous studies were mainly about prototypes that attempted to equip mobile digital devices as a study of smart wear; however, this study leaves the issue of power supply for a follow-up study that is different from preceding studies.

• 한국통신학회논문지
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• 제35권7B호
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• pp.1091-1097
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• 2010

세계적으로 비효율적인 에너지 소비로 인한 에너지 및 환경 문제가 지속적으로 대두되고 있다. 최근 이 같은 문제를 해결하기 위해서 에너지-IT(Energy-IT, EIT)융합기술이 효과적인 해결책으로 큰 관심을 받고 있다. 하지만 국내에서는 스마트그리드 외 EIT 융합기술에 대한 정책적 연구개발 및 투자가 미흡한 실정이다. 따라서 본 논문에서는 EIT 융합 기술의 효용성을 조사하고 AHP(Analytic Hierarchy Process) 기법을 이용하여 EIT 융합기술을 도출한다. 본 연구를 통하여 정부의 국가 에너지 문제 해결과 경쟁력을 향상을 위한 정책 결정에 기여할 것으로 기대한다. 연구결과 에너지 저감 분야 중에서는 에너지절약형건물(green building) 분야가 가장 효용성 있는 융합분야로 분석되었고, 에너지절약형건물 분야 내의 융합기술 중에서 네트워크 기능을 활용한 건물 내 에너지소비기기가 기술성, 경제성 부문에서 높은 중요도를 받으면서 가장 높은 기술로 평가 되었다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2013년도 추계학술대회
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• pp.827-830
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• 2013

스마트폰 열풍에 따른 인간 생활의 변화는 21세기 새로운 혁명을 맞고 있다. 2012년말 우리나라 스마트폰 보급률 58.8%를 기록해 세계 1위를 차지하며 IT강국의 명성을 이어가고 있다. 이러한 세계 최고의 IT 기반을 자랑하며 급속도로 발전해가는 IT강국이지만, OECD 회원국 중 최장 근로시간을 가진 국가이면서도 노동생산성은 하위권에 위치한다. 현재 전 세계적으로 저탄소 녹색성장, 저 출산 고령화, 노동생산성 증대, 온실가스 감축 등 공통된 사회적 현안이 지속 늘어나고 있고, 이를 해결하기 위한 방안으로 '스마트워크(Smart Work)'가 주목 받고 있는 것이다. 본 연구에서는 중소기업이 지방경제에 미치는 영향과 중소기업의 정보화 실태를 통계적 관점에서 살펴보고, 스마트워크 추진을 위한 세부 추진요소 및 모델 제안을 통해 중소기업의 스마트워크 대응방안을 제시해 보고자 한다. 이를 통해 스마트워크를 위한 중소기업 IT시스템 구성 모델를 제시한다.

• 산업공학
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• 제25권3호
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• pp.338-346
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• 2012

Regarding the green environment, it is important to boost the spread of environmentally friendly vending machines and to operate the vehicles for their inventory replenishments while minimizing emissions of greenhouse gases. In general, the vending machine management company lacks capability to operate the supply chain effectively in an integrated way under the dynamic, complex, and stochastic environment. This paper presents a decision support system, termed DSSVM, for the operations of the general and smart vending machine supply chains with stock-out-based, one stage item substitution in a green logistics environment. The DSSVM supports the estimation of item demand and substitution probabilities, determination of operation parameters, supply chain analysis, what-if analysis, and $CO_2$ analysis for which various analytical models are employed.

• International journal of advanced smart convergence
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• 제4권1호
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• pp.120-126
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• 2015

This research is a comparison of the characteristics of the displacement isolines due to powder-die-wall friction that arise during the compaction of ceramic powders in conventional die. It has been done using the CosmosWorks software package of the SolidWorks simulation software. The results of comparative simulation with FEM showed that the comparison of the displacement isolines and distribution of deformation of the ceramic powders. In the case of conventional uniaxial dry compaction for long length cylindrical green compact, considerable bending of the layers in the form of a cone can be observed. It is symmetry along centerline of cylindrical green compact. The distributions of the deformation of the green compacts (diameter 14 mm, height 20 mm) as a result of conventional compaction under ultrasonic vibration with power 1 and 2 kW are reduced to 4% and 6.5% when compared with conventional compaction without ultrasonic vibration respectively. Thus, density distribution can be minimized by increasing the power of ultrasonic vibration.

• 유통과학연구
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• 제20권4호
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• pp.51-63
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• 2022

Purposes: The purpose of this study is to develop and test a possible model that investigates the relationships between green investment, CSR disclosure, social collaboration initiatives, and firm distribution performance to deal with environmental change because it's become the major stakeholder since it affects increasingly global company performance index. Research methodology: In this study a quantitative method was adopted. The 220 respondents were owners and managers of manufacturing enterprises from Indonesia. The structural equation model (SEM) was used to test the hypotheses, and the Partial Least Square (SmartPLS) was used as the data analysis tool. Findings: The study's finding shows that green investment has a significant effect on CSR disclosure, and CSR disclosure has a positive relationship with social collaborative initiatives and the firm's distribution performance. Similarly, social collaborative initiatives also significantly impact a firm's distribution performance. Limitations: This study uses variables that are still abstract and have not been able to regress the dimensions contained there into conclusion variables for each antecedent variable. In addition, this study only used a sample with a small scope, namely Central Java Province, Indonesia. Contribution: The findings of this study contribute to the body of literature in the field of organizational management and support the agency and stakeholder theories. For the practical contribution, this study provides the way to build and implement green-based investment strategies as a competitive edge and improve firm's distribution performance.

• 대한안전경영과학회지
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• 제13권2호
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• pp.147-155
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• 2011

For an effective energy management in intelligent buildings it is necessary to gather information about position/absence of people and the level of population. In this paper the smart occupancy detection system based on the active RFID is developed to satisfy such a demand. The performance of the developed system is tested and verified through various experiments. Furthermore the feasibility test of the active RFID tag is performed to verify whether it can be used as a location-based occupancy sensor. The developed core technology can be also applied to other fields such as security, healthcare, smart home, etc.

• Journal of Information Processing Systems
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• 제16권1호
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• pp.1-5
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• 2020

Sustainable computing is a rapidly expanding field of research covering the fields of multidisciplinary engineering. With the rapid adoption of Internet of Things (IoT) devices, issues such as security, privacy, efficiency, and green computing infrastructure are increasing day by day. To achieve a sustainable computing ecosystem for future smart cities, it is important to take into account their entire life cycle from design and manufacturing to recycling and disposal as well as their wider impact on humans and the places around them. The energy efficiency aspects of the computing system range from electronic circuits to applications for systems covering small IoT devices up to large data centers. This editorial focuses on the security, privacy, and efficiency of sustainable computing for future smart cities. This issue accepted 17 articles after a rigorous review process.

• 한국농공학회논문집
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• 제64권1호
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• pp.15-26
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• 2022

3D open-field farm model developed from UAV (Unmanned Aerial Vehicle) data could make crop monitoring easier, also could be an important dataset for various fields like remote sensing or precision agriculture. It is essential to separate crops from the non-crop area because labeling in a manual way is extremely laborious and not appropriate for continuous monitoring. We, therefore, made a 3D open-field farm model based on UAV images and developed a crop segmentation model using a supervised machine learning algorithm. We compared performances from various models using different data features like color or geographic coordinates, and two supervised learning algorithms which are SVM (Support Vector Machine) and KNN (K-Nearest Neighbors). The best approach was trained with 2-dimensional data, ExGR (Excess of Green minus Excess of Red) and z coordinate value, using KNN algorithm, whose accuracy, precision, recall, F1 score was 97.85, 96.51, 88.54, 92.35% respectively. Also, we compared our model performance with similar previous work. Our approach showed slightly better accuracy, and it detected the actual crop better than the previous approach, while it also classified actual non-crop points (e.g. weeds) as crops.