• Asian Journal of Innovation and Policy
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• v.5 no.3
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• pp.315-329
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• 2016

Public R&D investment information has diverse implications for researching R&D trends. Also, as it is important for the establishment of R&D policy to grasp the current situation and trends of R&D to improve science and technology level, science and technology information service system, such as NTIS (National Science & Technology Information Service), is operated at a national level in most countries. However, since the data forms provided by current NTIS are raw data, it is necessary to develop the R&D performance indicator or to use additional scientometric methods by analyzing scientific papers or scientific R&D project information for grasping R&D trends or analyzing R&D task results. Thus, this study applied public R&D investment information to investigate and monitor R&D trends in the field of information & communication technology (ICT) of meteorology and climatology by using NTIS data of Korea and NSF (National Science Foundation) data of USA.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.325-332
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• 2007

The purpose of this study is to get a politic advanced idea to operate a pro-environment based u-city through the overcome problems on the construction policy for the even areal distribution, and the development for the model structure of the high level. Advanced pro-environmental ubiquitous urban construction becomes an example of the practical level linked by the national agenda as uKorea policy. The Idea of the national land informal ion systems transforms to enhance or to guide the national strategic industry to implement balanced development as grand objectives of the national land due to the factor that 'the economic development 5 years plan' altered to 'the national land 5 years plan'. Therefore, ubiquitous echo city construct ion becomes realized as static spatial informal ion construct ion and dynamic mobile based ubiquitous lives operable by the information infrastructure and IT839 policy items operation. For the synergy effects through this task, it requires a strong empowerment of the information industries and a new growing core engine of the national economy through the policy of the mutual satisfaction on the spat io-temporal information and the pro-environment information systems.

• Korean Journal of Remote Sensing
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• v.15 no.4
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• pp.329-337
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• 1999

With the ready access to the high resolution satellite image data, users of and areas covered by satellite image data are constantly on the rise world-widely. Korea will also be able to take full advantage of the satellite data once the Korea Multi-Purpose Satellite 1 (KOMPSAT-l) is successfully launched. Harmonizing satellite data production and application technology and users' needs, along with the guiding policy is essential for promoting satellite data use. Up to now, the Korean government has mainly concentrated on developing production technology for the satellite instruments. However, the imminent task of independent satellite data production demands a promotion policy for satellite data use. In this context, the policy is defined as an important medium for identifying the role and status of satellite image information at the national level and also preparing the legal as well as systematic foundation for producing, building, distributing, and packaging satellite data. The present paper aims to examine the role and status of the satellite data as well as their current status and problems in Korea in reference to the National Spatial Data Infrastructure, and finally to provide the policy directions to promote the satellite data use in public sector on the basis of the preceding analyses.

• The Journal of Korea Robotics Society
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• v.14 no.1
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• pp.40-49
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• 2019

Reinforcement learning has been applied to various problems in robotics. However, it was still hard to train complex robotic manipulation tasks since there is a few models which can be applicable to general tasks. Such general models require a lot of training episodes. In these reasons, deep neural networks which have shown to be good function approximators have not been actively used for robot manipulation task. Recently, some of these challenges are solved by a set of methods, such as Guided Policy Search, which guide or limit search directions while training of a deep neural network based policy model. These frameworks are already applied to a humanoid robot, PR2. However, in robotics, it is not trivial to adjust existing algorithms designed for one robot to another robot. In this paper, we present our implementation of Guided Policy Search to the robotic arms of the Baxter Research Robot. To meet the goals and needs of the project, we build on an existing implementation of Baxter Agent class for the Guided Policy Search algorithm code using the built-in Python interface. This work is expected to play an important role in popularizing robot manipulation reinforcement learning methods on cost-effective robot platforms.

• The Korean Journal of Air & Space Law and Policy
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• v.19 no.2
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• pp.179-197
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• 2004

As we observed in Irag war, air force power is integral to military operations owing to its promptness and accuracy. In this regard, strong air force power has a deterrent effect on a war. Meanwhile, as aviation industry is a key-future industry, the importance of the industry in our economy is significantly growing. Therefore, to maximize a national interest in utilizing limited aviation resources, it is necessary to establish a new system in which civil aviation and military aviation system is closely related and consolidated. Thus, our task is to find a way to enhance civil aviation industry to the extent of guaranteeing effective military operations. At the same time, civil aviation resources shall be effectively utilized for the military purposes in the event of a war. Ibis task should be carried out in a way to further efficiency for both civil and military aviation system, rather than resulting in conflicts between two syste

• Health Policy and Management
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• v.15 no.3
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• pp.1-16
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• 2005

This study was planned to investigate the relationship between development levels of learning organization and organization effectiveness in Hospital. Data were collected from 285 respondents who have participated in 'Learning Organization Project'(response rate =$50.5\%$). Structured questionnaire were applied by self administrated survey for two weeks since 2003 May. Main results were as follows; In the result of factor analysis, four factor were created and almost questionnaire items were classified into as same categories as theoretical concepts. Cronbach's a coefficient also showed over 0.7 in all categories. This result means that measurement tool to evaluate the development level of learning organization is valid and reliable. In the comparison of the development level of learning organization by participants' specialties, managerial workers perceived the lowest construction level, while medical technicians evaluated it as the highest level. In regression analysis, the perception levels of work environment, task and human aspect showed positive relationship with job competency significantly. For job satisfaction, levels of task and human aspects had positive relationship significantly. In addition, for organizational commitement, levels of organization and human aspect were positive predictors. Finally, for the satisfaction about experience of learning organization project, levels of environment, task and hmm aspects were related positively. We concluded from these result that the positive relationship between construction levels of learning organization and organization effectiveness was extended to hospital, besides industrial fields. We recommend the introduction and facilitation of learning organization project in various settings to improve the competency of knowledge management in individual and organizational levels.

• Journal of Korean Society on Water Environment
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• v.37 no.6
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• pp.493-500
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• 2021

Floating solar photovoltaic (hereinafter PV) power generation is emerging as a proper alternative to overcome various environmental limitations of existing offshore PV generation. However, more government-led policy design and technical and institutional development are still required. Based on the policy agenda setting theory and technological innovation theory, this study contains the research questions concerning the co-evolution of technology and the floating solar PV policy. This study primarily evaluates the technological and institutional development level of floating solar PV policy through a survey of domestic floating solar PV experts. Secondly, we also analyze the kind of policy agenda that should be set a priori. Analyzing the priorities to be considered, the first environmental enhancement needs to be considered from both the technical and institutional aspects. The second candidate task for the policy agenda is residents' conflict and improvement of regulations. Both candidate tasks need to be actively considered in the policy agenda from the institutional point of view. The third is publicity, profit sharing, follow-up monitoring, and cost. Among them, public relations and profit sharing are tasks that need to be considered in the policy agenda from the institutional point of view. On the other hand, the cost of follow-up monitoring should be considered as a policy agenda in terms of technology, system, and common aspects. Finally, there are technical standards. Likewise, technical standards need to be considered in the policy agenda in terms of both technical and institutional commonality.

• Journal of Family Resource Management and Policy Review
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• v.11 no.1
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• pp.53-63
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• 2007

This study analyzes the contents of low birthrate measures by the government and their effectiveness. The discussion on the measures being promoted by the government is conducted by considering the analysis on the cause of low birthrates, introduction of overseas policies and government policy propositions, etc. The evaluation on effectiveness is conducted by considering the recognition of the policies by women who are the subject of childbirth and preceding studies. Low birth rates are not the problem of an individual anymore, but a task that the whole of society has to resolve. The comprehensive measures should be made including the elements that influence birth rate such as reducing the cost of raising a child, creating a favorable environment in society and worksite, and improving the nurturing environment, etc.

• Journal of Agricultural Extension & Community Development
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• v.23 no.4
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• pp.419-429
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• 2016

This study focuses on the policy priorities for training agro-healing experts. Training agro-healing experts is an important task that should boost local community in rural areas. In order to make an efficient decision making, the study analyses priority of relevant policies using the AHP(Analytic Hierarchy Process) method. According to the results, R&D comes out first. Human Resource Development(HRD), financial support, and the construction of legal system comes after R&D. In R&D, qualifications and guidelines for participants comes out the most significant issue. In the aspect of HRD, it is very important to develop and utilize regional personnel such as unemployed youth and retirees from related fields. As for financial support, funding for educational facilities (i.e. classrooms and farmland for practice) is needed. In case of legal system, it is desirable to introduce the recruiting experts system and qualification system certified by government.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.3
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• pp.116-126
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• 2015

In a distributed heterogeneous computing system, the performance of a parallel application greatly depends on its task scheduling algorithm. Therefore, in order to improve the performance, it is essential to consider some factors that can have effect on the performance of the parallel application in a given environment. One of the most important factors that affects the total execution time is a critical path. In this paper, we propose the CLTS algorithm for a task scheduling. The CLTS sets the priorities of all nodes to improve overall performance by applying leveling method to improve parallelism of task execution and by reducing the delay caused by waiting for execution of critical nodes in priority phase. After that, it conditionally uses insertion based policy or duplication based policy in processor allocation phase to reduce total schedule time. To evaluate the performance of the CLTS, we compared the CLTS with the DCPD and the HCPFD in our simulation. The results of the simulations show that the CLTS is better than the HCPFD by 7.29% and the DCPD by 8.93%. with respect to the average SLR, and also better than the HCPFD by 9.21% and the DCPD by 7.66% with respect to the average speedup.