• 한국가정과교육학회지
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• 제33권3호
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• pp.85-105
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• 2021

이 연구의 목적은 중학교 가정 교과 수업에서 디자인씽킹을 활용한 협력적 소비 교육 프로그램을 개발하고 실행하여 학생들의 협력적 문제해결역량에 미치는 영향을 알아보는데 있다. 이에 ADDIE 모형에 따라 디자인씽킹에 기반 한 협력적 소비 교육 프로그램을 개발하고, 총 25명의 학생을 대상으로 실행한 후 평가를 실시하였으며, 연구 결과는 다음과 같다. 첫째, 선행연구를 바탕으로 협력적 소비의 실천을 위한 '공유학교 만들기'를 주제로 D. school의 디자인씽킹 프로세스에 기반한 소비교육 프로그램을 개발하였다. 8차시의 교수·학습 과정안과 워크북을 전문가 타당도 검증한 결과, 문항 평균 4.72(5점 만점), CVI 평균 0.93으로 내용 타당도와 현장 적합성이 우수하다고 검증받았다. 둘째, 협력적 소비 교육 프로그램을 실행하고, 수정·보완된 협력적 문제해결역량 도구를 활용한 사전-사후검사와 개방형 설문조사를 실시한 결과를 종합해볼 때, 학생들이 협력적 소비에 대한 지식과 필요성을 인식하여 실천의식이 향상됨과 함께 개발한 프로그램이 협력적 문제해결역량을 향상시키는 데 유의미한 효과가 있음을 확인하였다. 후속연구로 연구 대상의 확대, 디자인씽킹을 적용한 가정 교과 프로그램 및 소비자 역량 강화를 위한 프로그램 연구, 개발을 제언하였다. 이 연구는 디자인씽킹을 활용한 협력적 소비 교육 프로그램이 청소년의 협력적 문제해결역량 향상에 효과가 있음을 확인하였으며, 가정교과에서 변화하는 소비환경에 따른 소비자 교육 변화 요구에 부응하여 '협력적 소비'를 주제로 소비 교육 프로그램을 개발했다는 점에서 의의가 있다.

• 한국유기농업학회지
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• 제23권3호
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• pp.423-453
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• 2015

This study started with two questions. The first question is 'Why does organic agriculture want to be linked with cooperative?' The second is 'What is the characteristics of the mutual relationship between organic agriculture and cooperative?', especially in Wonju. Up to now, there have been various kinds of discussion about cooperation between organic agricultural campaign and cooperative in Wonju. But there are few concrete data showing what role cooperative plays in the cyclical process of production-distribution-consumption of organic agriculture. Thus, we conducted a survey applying the Delphi technique to the 35 organic agricultural specialists active in Wonju. First, small-scale family farm producers established a social economic cooperative network in around 2003 to perform 'the activities of innovators' through forming an organization. Producers moved from the stage in which they were supported one-sidedly by consumers to the stage where they could 'lead' cooperation. Each farm organization built a vertical integration, and horizontal cooperative systems with other farm organizations. But, practical cooperative activities have remained in the doldrums. They tend to show trends deviating from the principles of organic agriculture and cooperative. Second, the relationship between producers and consumers in Wonju can be described as 'producer-consumer cooperative type'. In Wonju, the producers' organization is not a sub-contractor which simply deliver organic agricultural products to producers' cooperative, but is an equal subject which creates its own value chain. The cooperative (cooperative organization) leads distribution and consumption of organic agricultural products and mutual communication. But, the closeness between producers and consumers has got loosened. And, it is problematic that the proportion of local food consumption in Wonju is very low. There is a very strong tendency to ride the central distribution system of producers' cooperative coalition. Consequently, it is necessary for producers' cooperatives in Wonju to run a local food distribution system based on the 'cooperative system among cooperatives'.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권8호
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• pp.3823-3840
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• 2017

This paper analyzes the nodes deployment optimization problem in energy constrained wireless sensor networks, which multi-hop cooperative beamforming (CB) based cooperative-multi-input-single-output (CMISO) transmission is adopted to reduce the energy consumption. Firstly, we establish the energy consumption models for multi-hop SISO, multi-hop DSTBC based CMISO, multi-hop CB based CMISO transmissions under random nodes deployment. Then, we minimize the energy consumption by searching the optimal nodes deployment for the three transmissions. Furthermore, numerical results present the optimal nodes deployment parameters for the three transmissions. Energy consumption of the three transmissions are compared under optimal nodes deployment, which shows that CB based CMISO transmission consumes less energy than SISO and DSTBC based CMISO transmissions. Meanwhile, under optimal nodes deployment, the superiorities of CB based CMISO transmission over SISO and DSTBC based CMISO transmissions can be more obvious when path-loss-factor becomes low.

• Journal of Communications and Networks
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• 제12권3호
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• pp.231-239
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• 2010

In cluster-based wireless sensor networks, the energy could be saved when the nodes that have data to transmit participate in cooperative multiple-input multiple-output (MIMO). In this paper, by making the idle nodes that have no data to transmit participate in the cooperative MIMO, it is found that much more energy could be saved. The number of the idle nodes that participate in the cooperative MIMO is optimized to minimize the total energy consumption. It is also found that the optimal number of all the nodes participating in cooperative communication does not vary with the number of nodes that have data to transmit. The proposition is proved mathematically. The influence of long-haul distance and modulation constellation size on the total energy consumption is investigated. A cooperative MIMO scheme with help-node participation is proposed and the simulation results show that the proposed scheme achieves significant energy saving.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권2호
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• pp.550-565
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• 2018

Cognitive radio technology is still the key technology of future mobile communication systems. Previous studies have focused on improving spectrum utilization and less energy consumption. In this paper, we propose an Overhead Reduced Scheme (ORS) for green cooperative spectrum sensing. Compared to traditional cooperative sensing scheme, ORS scheme divides the sensing time into three time slots and selects the best multi-mode user to report decisions. In consideration of reporting channel deviation, we derive closed-form expressions for detection probability and false alarm probability of ORS scheme based on Rayleigh fading channel. Simulation results show that ORS scheme can improve the perception accuracy while reducing the perceived delay and energy consumption in the process of perception, so as to realize the green communication.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권7호
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• pp.3080-3099
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• 2016

In this paper, we propose an algorithm for energy efficient cooperative communication in wireless sensor network (WSN). The algorithm computes the appropriate transmission distance corresponding to optimal broadcast bit error probability, while taking the circuit energy consumption and the number of cooperating nodes into consideration. The algorithm guarantees minimum energy consumption by choosing higher value of bit error probability for cooperative phase and lower value of bit error probability for broadcast phase while maintaining the required end-to-end reliability. The simulation results show that the proposed algorithm provides significant energy saving gain when compared with traditional fixed distance schemes and is suitable for applications demanding energy efficiency with high quality of reception.

• 대한전자공학회논문지TC
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• 제49권5호
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• pp.72-76
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• 2012

이동성이 있는 센서 노드로 구성 된 센서 네트워크를 효율적으로 사용하기 위하여 고려해야 할 사항 중 중요한 것이 자원의 효율적인 사용과 신호를 빠르고 정확하게 보내는 것이다. 본 논문에서는 무선 센서 네트워크 내에서 SNR(Signal to Noise Ratio)과 릴레이 노드의 신호 증폭률 그리고 노드와 노드 간 직접적으로 통신하는 경우 경로의 이득의 변화에 따른 무선 센서 네트워크의 특성에 대하여 분석하고 다수의 협동 릴레이 노드가 존재할 때 선택기준을 제시하고 이에 따른 영향을 정량적으로 평가하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권12호
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• pp.5898-5916
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• 2018

In this paper, the downlink performance of multi-cell distributed antenna systems (DAS) with a single user in each cell is investigated. Assuming the channel state information is available at the transmitter, four transmission modes are formulated as combinations of remote antenna units (RAUs) selection and cooperative transmission, namely, non-cooperative transmission without RAU selection (NCT), cooperative transmission without RAU selection (CT), non-cooperative transmission with RAU selection (NCT_RAUS), and cooperative transmission with RAU selection (CT_RAUS). By using probability theory, the cumulative distribution function (CDF) of a user's signal to interference plus noise ratio (SINR) and the system ergodic capacity under the above four modes are determined, and their closed-form expressions are obtained. Furthermore, the system energy efficiency (EE) is studied by introducing a realistic power consumption model of DAS. An expression for determining EE is formulated, and the closed-form tradeoff relationship between spectral efficiency (SE) and EE is derived as well. Simulation results demonstrate their consistency with the theoretical analysis and reveal the factors constraining system EE, which provide a scientific basis for future design and optimization of DAS.

• Journal of Communications and Networks
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• 제10권2호
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• pp.204-212
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• 2008

We study the routing problem in all-wireless networks based on cooperative transmissions. We model the minimum-energy cooperative path (MECP) problem and prove that this problem is NP-complete. We hence design an approximation algorithm called cooperative shortest path (CSP) algorithm that uses Dijkstra's algorithm as the basic building block and utilizes cooperative transmissions in the relaxation procedure. Compared with traditional non-cooperative shortest path algorithms, the CSP algorithm can achieve a higher energy saving and better balanced energy consumption among network nodes, especially when the network is in large scale. The nice features lead to a unique, scalable routing scheme that changes the high network density from the curse of congestion to the blessing of cooperative transmissions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2177-2193
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• 2018

This paper studies resource allocation schemes for the relay-aided cooperative system consisting of multiple source-destination pairs and decode-forward (DF) relays. Specially, relaying selection, multisubcarrier pairing and assignment, and power allocation are investigated jointly. We consider a combinatorial optimization problem on quality of experience (QoE) and energy consumption based on relay-aided cooperative system. For providing better QoE and lower energy consumption we formulate a multi-objective optimization problem to maximize the total mean opinion score (MOS) value and minimize the total power consumption. To this end, we employ the nondominated sorting genetic algorithm version II (NSGA-II) and obtain sets of Pareto optimal solutions. Specially, two formulas are devised for the optimal solutions of the multi-objective optimization problems with and without a service priority constraint. Moreover, simulation results show that the proposed schemes are superior to the existing ones.