• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.1
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• pp.108-113
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• 2012

Routing paths are mightily important for the network security in WSNs. To maintain such routing paths, sustained path re-selection and path management are needed. Region segmentation based path selection method (RSPSM) provides a path selection method that a sensor network is divided into several subregions, so that the regional path selection and path management are available. Therefore, RSPSM can reduce energy consumption when the path re-selection process is executed. However, it is hard to guarantee optimized secure routing path at all times since the information using the path re-selection process is limited in scope. In this paper, we propose partial path selection method in each subregion using preselected partial paths made by RSPSM for routing path optimization in SEF based sensor networks. In the proposed method, the base station collects the information of the all partial paths from every subregion and then, evaluates all the candidates that can be the optimized routing path for each node using a evaluation function. After the evaluation process is done, the result is sent to each super DN using the global routing path information (GPI) message. Thus, each super DN provides the optimized secure routing paths using the GPI. We show the effectiveness of the proposed method via the simulation results. We expect that our method can be useful for the improvement of RSPSM.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.1B
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• pp.42-48
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• 2002

In broadband wireless networks, the effective meeting of the QoS guarantees may strongly depend on the Contention Resolution Algorithm used in the uplink contention period. The time it takes a station to transmit a successful request to the base station, or request delay, must be kept low even during periods of high contention. If a request suffers many collisions, it cannot rely on the preemptive scheduler to receive low access delays. However, the conventional collision resolution algorithm has a problem that all collided stations are treated equally regardless of their delay from previous contention periods. Some requests may have very long request delay caused by continuous collisions. In this paper, we propose an adaptive collision resolution algorithm for fast random access in broadband wireless networks. The design goal is to provide quick access to the request with a high number of collisions. To do this, the proposed algorithm separates the whole contention region into multiple sub regions and permits access through each sub region only to the requests with equal number of collisions. The sub region is adaptively created according to the feedback information of previous random access. By simulation, the proposed algorithm can improve the performance in terms of throughput, random delay and complementary distribution of random delay by its ability to isolate higher priorities from lower ones. We can notice the algorithm provides efficiency and random access delay in random access environment.

• Journal of the Korean earth science society
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• v.21 no.2
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• pp.93-102
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• 2000

The purpose of this study is to investigate Earth Systems Education, its matter and also its possibility of practical application in Korea. Some attempts are made to see the value of the Earth Systems Education. Adopting two kinds of Korean science textbooks of middle school and activity of Earth Systems Education were analyzed. The interview with teachers is implemented for the study on objective, the structure of matter and teaching strategy in Earth Systems Education. The program is given to 96 students(2 classes, the first grade at middle school). To analyze the effect of Earth Systems Education program, students were interviewed by their teacher. The conclusions of this study are as follows: 1. The Earth Systems Education is contributed to the way to enable students to have a cognitive perspective about the earth and to look for the nature. Earth Systems Education is to use interdisciplinary approaches for integration in science. 2. The result of analysis in the contents of Korean science textbooks, the viewpoints about Earth Systems Education were not found, but the accounts about the interactions among subsystems were found. 3. According to the results of interview with teachers, they approve of system approach, the structure of matter and teaching strategy of Earth Systems Education. 4. According to the results of interview with students, they understand the interactions among subsystems which are elements of Earth Systems. As a results, Earth Systems Education is a effective method for informed judgements about Earth and science and manner for work for integration in science curriculum. So Earth Systems Education be applied to science education in Korea.

• The Journal of Bigdata
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• v.4 no.2
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• pp.159-173
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• 2019

Last-Mile delivery optimization plays a key role in the urban supply chain operation, which is the most expensive and time-consuming and most complicated part of the whole delivery process. The urban consolidation center (UCC) is regarded as a significant asset for supporting customer demand in the last-mile delivery service. It is the key benefit of UCC to improve the load balance of vehicles and to reduce the total traveling distance by finding the better route with the well-organized multi-leg vehicle journey in the urban area. This paper presents the model using multiple scenario analysis integrated with mathematical optimization techniques using Geographic Information System (GIS). The model aims to find the best solution for the distribution network consisted of DC and UCC, which is applied to the case of Ulaanbaatar Mongolia. The proposed methodology integrates two sub-models, location-allocation model and vehicle routing problem. The multiple scenarios devised by selecting locations of UCC are compared considering the general performance and delivery patterns together. It has been adopted to make better decisions the quantitative metrics such as the economic value of capital cost, operating cost, and balance of using available resources. The result of this research may help the manager or public authorities who should design the distribution network for the last mile delivery service optimization using UCC within the urban area.

• Journal of Environmental Policy
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• v.8 no.2
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• pp.119-144
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• 2009

The integration of environmental and innovation policies is perceived to be essential in order to deal efficiently with environmental and innovation problems. This study analyzed environmental policy integration in Finnish technology policies in view of system transitions and policy integration. Finnish environment-innovation policy integration is assessed empirically by focusing on the policy strategies, implementation, and evaluation processes. Furthermore, this study compared Korea's environment-innovation policy integration with that of the Finnish experience, and drew up policy implications from the comparative study in order to come up with Korean contexts. Moreover, since green growth and eco-innovation are core issues in Korea today, it is important to ensure that system transitions and policy implementations take into account the various forms of policymaking, as well as political, organizational, and procedural activities.

• The Journal of Society for e-Business Studies
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• v.24 no.4
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• pp.119-133
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• 2019

Recently, the importance prediction of photovoltaic power (PV) is considered as an essential function for scheduling adjustments, deciding on storage size, and overall planning for stable operation of PV facility systems. In particular, since most of PV power is generated in peak time, PV power prediction in a peak time is required for the PV system operators that enable to maximize revenue and sustainable electricity quantity. Moreover, Prediction of the PV power output in peak time without meteorological information such as solar radiation, cloudiness, the temperature is considered a challenging problem because it has limitations that the PV power was predicted by using predicted uncertain meteorological information in a wide range of areas in previous studies. Therefore, this paper proposes the LSTM (Long-Short Term Memory) based the PV power prediction model only using the meteorological, seasonal, and the before the obtained PV power before peak time. In this paper, the experiment results based on the proposed model using the real-world data shows the superior performance, which showed a positive impact on improving the PV power in a peak time forecast performance targeted in this study.

• Journal of Science and Technology Studies
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• v.18 no.1
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• pp.177-217
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• 2018

This study examines the case of living lab applied in the R&D initiatives for solving societal problems and challenges. It discusses how to use the living lab in national R&D projects. The analyzed cases are 'Develop portable fundus camera for eye disease screening test to resolve health inequalities' and 'Auto-sensing integrated system development in rural pedestrian crosswalk'. As a result of the analysis, both cases were designed as a user participatory R&D structure by utilizing living lab. In other words, living lab has operated as a system that evolves technology-products-services into an infrastructure. It can realize final demand specification, product, service improvement and demonstration through continuous interaction of end users. As a result of the case analysis, the following policy tasks can be derived. First, living lab is a new concept and it is in the early stage of implementation in Korea. Therefore, it is necessary to monitor and evaluate living lab experiments and build suitable models for Korean society by sharing cases and achievements. Second, the strategic niche management are necessary for the introduction of living lab. Third, living lab can be used as a tool to transform the existing technology acquisition centered innovation policy to the policy for customer needs and problem solving. Fourth, there is a need for flexibility and adaptability in strategy and system to correct errors that appear in the living lab processes.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.2
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• pp.15-21
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• 2009

Hearing loss is one of the most common birth defects among infants. Most of hearing-impaired children are not diagnosed until 1 to 3 years of age - which is too late for the critical period (6 month) for normal speech and language development. If a hearing impairment is identified and treated in its early stage, child's speech and language skills could be comparable to his or her normal-hearing peers. For these reasons, hearing screening at birth and throughout childhood is extremely important. ABR (Auditory brain-stem response) is nowadays one of the most reliable diagnostic tools in the early detection of hearing impairment. In this study, we have developed the system that automatically detects if there is hearing impairment or not for infants or children. For future studies, it will be developed as a portable system to be able to take a measurement not only in sound proof room but also in nursery for neonates.

• Information Systems Review
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• v.12 no.2
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• pp.1-23
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• 2010

Most enterprise information systems today are silo systems in that they are not properly aligned nor integrated with one another. Such silo systems result because enterprises lack an architectural perspective in the planning and development of the systems. This paper proposes an Enterprise Architecture Orientation Model as a framework for the analysis, planning and design of the architectural quality of enterprise information systems. The model decomposes enterprise architecture into two dimensions-alignment and integration, and specifies for each dimension the general development and evolution stages enterprises may traverse. The alignment dimension represents the vertical strategic alignment of the systems with the vision, mission, strategy and goals of the enterprise, and is analyzed in terms of the performance, capability, and strategy of the enterprise. The integration dimension, on the other hand, represents the horizontal and functional integration among the systems that span organizational functions and boundaries, and is analyzed in terms of such technological components as IT infrastructure, data, application, and business processes. The model combines the alignment and integration dimensions to form a two-dimensional conceptual space for mapping the architectural quality of the enterprise. It is proposed that an enterprise use the model to identify and understand its position now and in the future in the architectural quality of the enterprise information systems. It is also proposed that the model provides a tool for the planning and design of the transition from one stage to the next in the alignment and integration of the systems to reach an architectural maturity. At the end, the paper discusses how the model can be applied differently according to the strategic orientation of the enterprise. An example of the usage of the model is presented.

• Journal of Korea Water Resources Association
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• v.47 no.12
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• pp.1145-1154
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• 2014

In recent years, as frequency and intensity of severe weather disasters such as flash flood have been increasing, providing accurate and prompt information to the public is very important and needs of user-friendly monitoring/warning system are growing. This paper introduces a method that re-produces radar observations as multimedia contents and applies reproduced data to mesh-up services. In addition, a accurate GIS matching technique to help to track the exact location going on serious atmospheric phenomena is presented. The proposed method create multimedia contents having structures such as two dimensional images, vector graphics or three dimensional volume data by re-producing various radar variables obtained from a weather radar. After then, the multimedia formatted weather radar data are matched with various detailed raster or vector GIS map platform. Results of simulation test with various scenarios indicate that the display system based on the proposed method can support for users to figure out easily and intuitively routes and degrees of risk of severe weather. We expect that this technique can also help for emergency manager to interpret radar observations properly and to forecast meteorological disasters more effectively.