• STI Policy Review
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• 제6권1호
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• pp.85-110
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• 2015

Science and technology diplomacy has become an important policy agenda because of its diplomatic utility and enhancing of international science networks. However, different countries possess different objectives and governance of S&T diplomacy. In this context, this paper seeks to answer the following questions: what are the similarities and differences of S&T diplomacy in countries and what shapes these characteristics? To answer these questions, this paper conducts a comparative case study with five countries - Switzerland, Germany, Japan, the United Kingdom, and the United States - whose S&T diplomatic programs are highly recognized and benchmarked by other countries. A useful typology is devised to conduct a systematic comparison. For S&T diplomatic objectives, this paper suggests five types by elaborating concepts from the previous literature: access diplomacy, promotion diplomacy, public aid diplomacy, functional diplomacy, and global leadership diplomacy. Also, in terms of a governance model for S&T diplomacy, three models - a sciencecentered model, a science-outsourcing model and a top-down coordinating model - are suggested based on leadership organization. This paper reveals the different characteristics of the selected countries in S&T diplomacy. While the selected countries pursue almost every type of S&T diplomatic objective, the US and the UK tend to conduct influence-based diplomacy more than other countries do. In addition, different countries each have unique governance models for S&T diplomacy. While more research is necessary for vigorously testing the causes of different objectives and their relationship with governance models, this paper suggests more general policy implications throughout. The strength of the country's S&T base is fundamentally important for the success of S&T diplomacy. However, domestic S&T assets need to be transferred to its diplomatic capabilities. In this sense, the appropriate governance that fits best with the country's S&T mission should be established, while S&T communities should increasingly play a leadership role in evolving global S&T networks.

• 생태와환경
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• 제46권1호
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• pp.1-9
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• 2013

Algal blooms in potable water supplies are becoming an increasingly prevalent and serious water quality problem around the world. In addition to precipitating taste and odor problems, blooms damage the environment, and some classes like cyanobacteria (blue-green algae) release toxins that can threaten human health, even causing death. There is a recognized need in the water industry for models that can accurately forecast in real-time algal bloom events for planning and mitigation purposes. In this study, using data for an interconnected system of rivers and reservoirs operated by a New Jersey water utility, various ANN models, including both discrete prediction and classification models, were developed and tested for forecasting counts of three different algal classes for one-week and two-weeks ahead periods. Predictor model inputs included physical, meteorological, chemical, and biological variables, and two different temporal schemes for processing inputs relative to the prediction event were used. Despite relatively limited historical data, the discrete prediction ANN models generally performed well during validation, achieving relatively high correlation coefficients, and often predicting the formation and dissipation of high algae count periods. The ANN classification models also performed well, with average classification percentages averaging 94 percent accuracy. Despite relatively limited data events, this study demonstrates that with adequate data collection, both in terms of the number of historical events and availability of important predictor variables, ANNs can provide accurate real-time forecasts of algal population counts, as well as foster increased understanding of important cause and effect relationships, which can be used to both improve monitoring programs and forecasting efforts.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2011년도 추계학술대회
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• pp.109-113
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• 2011

지능형 객차 시스템에서 고속의 멀티미디어 데이터를 무선으로 주고받기 위해 UWB 방식의 WiMedia D-MAC을 고려할 수 있다. 그러나 현재 WiMedia에서는 2홉 이상의 통신 방법이 제공되지 않고 있어 UWB의 통신 제한 거리인 10미터를 넘어서는 경우 데이터를 주고받을 수 없다. 본 논문에서는 WiMedia를 기반으로 멀티홉 라우팅이 가능하도록 하기 위한 첫 번째 단계로 중계 디바이스를 선정하기 위한 알고리즘을 개발하였다. 중계 디바이스의 선정을 위해서 이웃 디바이스에 대한 정보를 비콘 프레임을 통해 얻도록 하였으며, 간단한 연산을 통해 일반 디바이스와 중계 디바이스를 결정하도록 하였다. 그리고 두 번째 단계로 모든 디바이스는 중계 디바이스를 통해 2홉까지의 라우팅 테이블을 만들 수 있고 일정 시간이 지나면 망상의 모든 디바이스를 위한 라우팅 테이블을 완성시킬 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권8호
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• pp.4142-4159
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• 2019

We have developed composite measures of supercomputer technology, reflecting various factors of supercomputers using Martino's scoring model. CPUs, accelerators, memory, interconnection networks, and power consumption are chosen as factors of the model. The weight values of the factors are derived based on a survey of 129 domestic and international experts. The measured values are then standardized to integrate measurement units of the factors in the model. This model has been applied to 50 supercomputers, and rank correlation analysis was performed using representative measures. As a consequence, the ranking drastically changes except for the 1st and 2nd supercomputers on the TOP500. In addition, the characteristics of memory and interconnection networks influence the ranking, and the results demonstrate that the proposed model has low correlations with HPL and HPCG but a high correlation with Green500. This indicates that power consumption is an important factor that has a significant effect on the measures of supercomputer technology. In addition, it is determined that the differences between the HPL ranking and the proposed model ranking are influenced by power consumption, CPU theoretical peak performance, and main memory bandwidth in order of significance. In conclusion, the composite measures proposed in this study are more suitable for comprehensively describing supercomputer technology than existing performance measures. The findings of this study are expected to support decision making related to management and policy in the procurement and operation of supercomputers.

• 환경영향평가
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• 제27권6호
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• pp.618-634
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• 2018

본 연구는 2020년 장기미집행 도시공원의 자동실효(이하 도시공원 일몰)로 인한 생태네트워크 측면에서의 영향을 부산지역을 대상으로 분석하였다. 분석은 도시공원 일몰과 관련하여 가능한 5개의 시나리오를 구축하고 각 시나리오별 생태네트워크 변화를 FRAGSTATS의 경관지수들을 활용하여 살펴보았다. 일몰 예정 공원에 대해 전체 개발을 가정하는 시나리오 1은 해당 공원들의 전체 보전을 가정한 시나리오 5에 비해 녹지면적이 7,339.75ha가 감소하고, 생태공간의 파편화도 증가하는 것으로 분석되었다. 내부종 서식지에 영향을 미치는 중심지 비중도 8.06%이상 감소되며, 녹지 간 연결성도 28.23% 이상 감소되는 것으로 나타났다. 그러나 공원 내 생태적 가치가 높은 지역을 중심으로 보전하는 것을 가정하는 시나리오 3은 시나리오 5(전체 대상지 보전)의 94% 지역에 대한 보전이 가능하며, 연결성 측면에서는 95.6% 이상 보완이 가능할 뿐 아니라 생태지역 파편화 측면에서도 공원예정지 전체를 조성하는 것과 유사한 효과가 나타나고 있었다. 따라서, 일몰 예정 공원에서도 보전가치가 높은 지역을 중심으로 보전하는 것은 생태네트워크 측면에서 효과가 상당히 높음을 확인할 수 있었다. 현재 지자체에서 이들 보전지역을 중심으로 우선 해제를 시행하고 있는데, 이들 지역은 개발의 수준이 낮다고 해도 산발적 개발가능성이 높으므로 현재 추진 중인 우선 해제에 대한 재고가 필요하다고 판단된다.

• Journal of Communications and Networks
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• 제16권1호
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• pp.36-44
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• 2014

Exploiting the energy-delay tradeoff for energy saving is critical for developing green wireless communication systems. In this paper, we investigate the delay-constrained energy-efficient packet transmission. We aim to minimize the energy consumption of multiple randomly arrived packets in an additive white Gaussian noise channel subject to individual packet delay constraints, by taking into account the practical on-off circuit power consumption at the transmitter. First, we consider the offline case, by assuming that the full packet arrival information is known a priori at the transmitter, and formulate the energy minimization problem as a non-convex optimization problem. By exploiting the specific problem structure, we propose an efficient scheduling algorithm to obtain the globally optimal solution. It is shown that the optimal solution consists of two types of scheduling intervals, namely "selected-off" and "always-on" intervals, which correspond to bits-per-joule energy efficiency maximization and "lazy scheduling" rate allocation, respectively. Next, we consider the practical online case where only causal packet arrival information is available. Inspired by the optimal offline solution, we propose a new online scheme. It is shown by simulations that the proposed online scheme has a comparable performance with the optimal offline one and outperforms the design without considering on-off circuit power as well as the other heuristically designed online schemes.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권3호
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• pp.1057-1073
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• 2015

In this paper, we consider cooperative D2D communications in cellular networks. More precisely, a cellular user leases part of its spectrum to facilitate the D2D communication with a goal of improving the energy efficiency of a D2D pair. However the D2D pair is untrusted to the cellular user, such resource sharing may result in the information of this cellular user unsecured. In order to motivate the cellular user's generosity, this D2D pair needs to help the cellular user maintain a target secrecy rate. To address this issue, we formulate a joint spectrum and power allocation problem to maximize the energy efficiency of the D2D communication while guaranteeing the physical layer security of the cellular user. Then, a theorem is proved to indicate the best resource allocation strategy, and accordingly, an algorithm is proposed to find the best solution to this resource allocation problem. Numerical results are finally presented to verify the validity and effectiveness of the proposed algorithm.

• 지식경영연구
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• 제15권3호
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• pp.189-208
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• 2014

In spite of its popularity among practitioner and academic audiences, few existing studies go into any detail in examining the mechanisms of creating shared value (CSV), especially as applicable to the context of everyday operations. Nor do they provide recommendations to practitioners with regard to facilitating CSV concept. In response to this problem, I introduce benefit-sharing practice which I argue provides a solid route to the concept of CSV. Based on observations from the case study, 10 networks' benefit-sharing practices are analyzed and its featured characteristics are extracted accordingly. Findings demonstrate that such benefit-sharing models as 'Green-Development', 'Protection of the Environment', and 'Accreditation for Food Safety Management' can solve critical societal challenges while simultaneously driving greater profitability for both buyers and suppliers. The findings also suggest that benefit-sharing is a good vehicle of the realization of the CSV concept. I conclude by assessing how the findings add to the existing debate around collaborative supply-relationship and shared value. I suggest that benefit-sharing can contribute positively to the feasibility of CSV concept and, thereby, counter the assertion that CSV is the only immature-concept that lacks clear criteria of demarcation and cases for businesses to follow.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권12호
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• pp.5712-5728
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• 2017

Recently, there are many studies, that considering green wireless cellular networks, have taken the energy consumption of the base station (BS) into consideration. In this work, we first introduce an energy consumption model of multi-mode sharing BS powered by multiple energy sources including renewable energy, local storage and power grid. Then communication load requests of the BS are transformed to energy demand queues, and battery energy level and worst-case delay constraints are considered into the virtual queue to ensure the network QoS when our objective is to minimize the long term electricity cost of BSs. Lyapunov optimization method is applied to work out the optimization objective without knowing the future information of the communication load, real-time electricity market price and renewable energy availability. Finally, linear programming is used, and the corresponding energy efficient scheduling policy is obtained. The performance analysis of our proposed online algorithm based on real-world traces demonstrates that it can greatly reduce one day's electricity cost of individual BS.

• 감성과학
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• 제5권2호
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• pp.73-78
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• 2002

The unique colors of paper, that is, blue, green, red, and yellow were used in the estimation of color from the subjective feeling. The monochrome with unique color or the unique color surrounded with the background color was presented. subject gazed the monochrome or the unique color, which was tailed target rotor. The target and background color were the complementary color each other. The various ratios of the area of gazed color and background were taken. Subject answered the level of subjective feeling consisted of pair of adjective items for unique color presented. With the use of the subjective feeling for the target color presented, the estimation of the unique color was cai\ulcornerlied out due to Fuzzy theory and neural networks. The results of color difference between unique color presented and the estimated color gave very small value for the case without background, while the results of the case with background color depended on the ratio of area of presented color and background color till the ration of 2:1, The relation showed the Kirschman's law, The color difference saturated In the increase of area of background with the ratio more than 2:1.