• Journal of Science and Technology Studies
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• v.18 no.3
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• pp.217-255
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• 2018

Bitcoin, which appeared in 2008, was merely a conceptual virtual currency, but it now enjoys the status as actual money. Bitcoin is an electronic money system that can be traded directly without a central trust institution. Thanks to the popularization of Bitcoin, blockchain technology has become a widespread concern. That technology is expanding not only the currency mechanism, but also a variety of other services. The possibility of a blockchain in relation to actual currency is ongoing. This paper investigates the technological characteristics and social construction of the blockchain by comparing the cases of Bitcoin, Namecoin, and MediBloc among blockchain applications. Namecoin emerged in 2013 is an attempt to replace the centralized Internet Domain Name System(DNS). There has been controversy over that current system for a long time, but replacing the already established system is not easy. Nevertheless, Namecoin has potential as an alternative. Meanwhile, MediBloc is an application that involves distributed management of medical data in South Korea. MediBloc claims that the key producers of medical data are patients themselves. This is to challenge to the question who is a knowledge producer of medical data. Through these three cases, it has discussed that blockchain technology does supports to form more democratic decision-making or simply provide a technical solution as automation. As a citizen, we can intervene in the realization of blockchains by presenting social agenda. This will be a method of the social construction of technology.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.4
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• pp.156-172
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• 2020

The purpose of this study was to predict road surface temperature using high-resolution solar radiation data. The road surface temperature prediction model (RSTPM) was applied to predict road surface temperature; this model was developed based on the heat-balance method. In addition, using SOLWEIG (SOlar and LongWave Environmental Irradiance Geometry-model), the shadow patterns caused by the terrain effects were analyzed, and high-resolution solar radiation data with 10 m spatial resolution were calculated. To increase the accuracy of the shadow patterns and solar radiation, the day that was modeled had minimal effects from fog, clouds, and precipitation. As a result, shadow areas lasted for a long time at the entrance and exit of a tunnel, and in a high-altitude area. Furthermore, solar radiation clearly decreased in areas affected by shadows, which was reflected in the predicted road surface temperatures. It was confirmed that the road surface temperature should be high at topographically open points and relatively low at higher altitude points. The results of this study could be used to forecast the freezing of sections of road surfaces in winter, and to inform decision making by road managers and drivers.

• Journal of Korean Neurosurgical Society
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• v.64 no.4
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• pp.575-584
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• 2021

Objective : Cervical expansive laminoplasty is an effective surgical method to address multilevel cervical spinal stenosis. During surgery, the spinous processes of C2 and C7 are usually preserved to keep the insertion points of the cervical musculature and nuchal ligament intact. In this regard, dome-like laminectomy (undercutting of C7 lamina) instead of laminoplasty is performed on C7 in selected cases. However, resection of the lamina can weaken the C7 lamina, and stress fractures may occur, but this complication has not been characterized in the literature. The objective of the present study was to investigate the incidence and risk factors for C7 laminar fracture after C7 dome-like laminectomy and its impact on clinical and radiological outcomes. Methods : Patients who underwent cervical open-door laminoplasty combined with C7 dome-like laminectomy (n=123) were classified according to the presence of C7 laminar fracture. Clinical parameters (neck/arm pain score and neck disability index) and radiologic parameters (C2-7 angle, C2-7 sagittal vertical axis, and C7-T1 angle) were compared between the groups preoperatively and at postoperatively at 3, 6, 12, and 24 months. Risk factors for complications were evaluated, and a formula estimating C7 fracture risk was suggested. Results : C7 lamina fracture occurred in 32/123 (26%) patients and occurred at the bilateral isthmus in 29 patients and at the spinolaminar junction in three patients. All fractures appeared on X-ray within 3 months postoperatively, but patients did not present any neurological deterioration. The fracture spontaneously healed in 27/32 (84%) patients at 1 year and in 29/32 (91%) at 2 years. During follow-up, clinical outcomes were not significantly different between the groups. However, patients with C7 fractures showed a more lordotic C2-7 angle and kyphotic C7-T1 angle than patients without C7 fractures. C7 fracture was significantly associated with the extent of bone removal. By incorporating significant factors, the probability of C7 laminar fracture could be assessed with the formula 'Risk score = 1.08 × depth (%) + 1.03 × length (%, of the posterior height of C7 vertebral body)', and a cut-off value of 167.9% demonstrated a sensitivity of 90.3% and a specificity of 65.1% (area under the curve, 0.81). Conclusion : C7 laminar fracture can occur after C7 dome-like laminectomy when a substantial amount of lamina is resected. Although C7 fractures may not cause deleterious clinical outcomes, they can lead to an unharmonized cervical curvature. The chance of C7 fracture should be discussed in the shared decision-making process.

• Journal of the Korean Association of Geographic Information Studies
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• v.24 no.2
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• pp.40-51
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• 2021

The purpose of this study is to diagnose urban spatial structures using spatial modeling techniques for balanced urban development as part of sustainable urban growth management. Since urban spatial structure is an interaction of various activities, it is necessary to interpret the analysis results in conjunction with the analysis of changes in spatial structural elements. In this study, population and transportation were approached for research purposes. Population data were applied to the Getis-Ord G_i^* method, a spatial statistical technique, to analyze the concentration-decreasing region of the population. Traffic data analyzed the trend of centrality change by applying commuting traffic O-D data to Social Network Analysis techniques. The analysis showed that urban imbalance was growing, and the centrality of transportation was changing. The results of the analysis of spatial structure elements could be interpreted by linking the results of each factor to each neighborhood unit, predicting changes in urban spatial structure and suggesting directions for sustainable urban growth management.These results could also be used as a decision-making tool for various urban growth management policies introduced to cope with rapid urban development and uncontrollable development in many cities around the world.

• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.29 no.2
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• pp.108-117
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• 2011

In drafting the standards on changes in current conditions, the height or the number of stories is applied in a restrictive manner by limiting to securing the distance to vertical surface for cultural properties within the influence investigation area, but this is expected to have a negative impact on the surrounding sceneries as well as results in the dwarfing phenomenon for precious cultural properties. That is, the preparation for supplementing the insufficient objectivity that is likely to take place during the process of drafting the standards on changes in current conditions. Thus the author attempts to suggest the analytic method for the decision making related to objective and reasonable determination and regulation of the changes in current conditions through computer based simulation work that considers the cultural properties and surrounding environments under investigation. In order to achieve such research objectives, the author reviewed the subject sites where the cultural property dwarfing phenomenon was expected to occur in case of the permission for the changes in current conditions or where the impact of natural landscape and natural feature on the earth is less than architectural building or artificial structure or where the new policy program is likely to be adopted due to incomplete establishment of current condition change standard within influence investigation area, among other cultural properties with architectural building or artificial structure nearby located in Cheonan city and then selected Cheonansaji Dangganjiju(flag poles) and Jiksanhyun Gwana(government office). The author then undertook the quantitative visibility analysis in order to determine the comprehensive prospect rights for the cultural properties and surrounding environments concerned.

• The Journal of the Korea Contents Association
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• v.21 no.1
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• pp.12-23
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• 2021

Due to high proportion of exports, Korea has a higher dependence on the global value chain (GVC) than other major developed countries. This reason, Korea has a structure that is sensitive to GVC changes. This is because Korean exports are concentrated on specific countries and items, and most of the materials for export tend to depend on imports. Currently, export restrictions resulting from trade disputes with Japan can affect the industry of Korea as a whole due to the supply of core materials. Therefore, in order to minimize economic damage caused by export regulations in the current situation, it is necessary to reorganize the GVC, through efforts to rapidly diversify imports and localize imports that depend on Japan. To this end, it is necessary to derive and classify imported goods that depend on Japan, and to localize items that are difficult to diversify imports, and prompt R&D investment is required for this. This study aims to support R&D investment policy through quantitative analysis based on big data rather than a decision-making method based on expert-centered qualitative analysis.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.21-32
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• 2021

This study focuses on the individual characteristics of consumers and creating shared value in relation to recent increasing value consumption. Specifically, it was intended to verify what socio-psychological variables of consumers affect value congruency and product purchase intentions in relation to cosmetics products based on creating shared value activities. In order to verify hypothesis, an online survey was conducted, and the main and mediate effects of the variables were verified through SPSS' Process Macro method. As a result of empirical analysis, the higher the ethical identity, altruism, and consumer effectiveness, the higher the value congruency. Altruism and consumer effectiveness had a positive impact on purchase intentions. We also find that value congruency has a significant mediating effect on the effect of socio-psychological variables on purchase intention. The results of this study provide practical values and implications for companies' need to emphasize consumers' consumption behavior as it can have a significant positive impact on society. It also suggests the importance of finding out what values consumers seek. In other words, this study can provide strategic implications for public relations plans when performing marketing activities by utilizing the values pursued by CSV in companies. Future research will provide strategic implications for promotional measures when marketing is carried out if the consumer's segment is further refined to verify the effectiveness of creating shared value.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.67-75
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• 2021

The structure of universities needs to be adjusted and reformed to cope with the decrease in admission resources and the quality of education due to the low birth rate and aging population. Such a policy is receiving much attention. To analyze the relative efficiency of private universities in Korea from the perspective of resource and performance, this study evaluated the efficiency of private university operation by applying a DEA(Data Envelopment Analysis) technique. The DEA measurements were compared with the diagnosis results of the department of education (Government) in 2018. The input and output variables used in the research analysis were utilized by the university's notification materials (public disclosure information). An analysis of the operational efficiency showed that 48% (12 universities) of the 25 DMUs (Decision Making Unit) were efficient for DEA-BCC models and that some of the capacity-building universities were operating efficiently. In addition, the DEA analysis found ways to improve inefficient groups through DEA-Additive results. This paper can be meaningful because it confirmed the relative efficiency of private universities and suggested improvement directions through the DEA method, which is characterized by the simultaneous consideration of various input and output factors. This will help apply the limited resources related to the input and output elements of each university.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.1
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• pp.31-41
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• 2021

This study targets the city of Paju, Gyeonggi-do, where many challenges are facing ecological assets management due to the increase in recent development. Using the survey data provided by the National Institute of Ecology in Korea, the study analysed the differences in the local residents' perception of local ecological assets. The Q methodology, which is useful for revealing differences in opinions, was applied to classify the narrative groups, which had different points of view in evaluating each asset. Next, the study compared the differences in perceptions of the vulnerability of ecological assets. As a result of the analysis, the city of Paju was divided into two main narrative groups: a 'Nature Conservation Group' and a 'Heritage Conservation Group'. The Nature Conservation Group wanted to prioritize ecologically valuable assets, such as wetlands, brackish zones, and forests. The Heritage Conservation Group preferred preserving ecological assets having a cultural contexts, such as royal tombs, graves, and the surrounding landscape. Evaluating the ecological assets, the two groups identified 23 ecological sites under threat from development among the 25 ecological sites considered. The Nature Conservation Group noted the importance of sites such as the Sannam Wetlands, Gongneungcheon, Gongneungcheon Brackish Zone, and Simhak Mountain. These were considered to be the most vulnerable ecological assets in the city. The study found differences in the perceived values for each ecological asset by residents. The results can serve as useful data for decision-making on ecological asset management in the city of Paju.

• The Journal of Engineering Geology
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• v.30 no.4
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• pp.649-661
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• 2020

Cut-slope management system (CSMS) has been investigated all slopes on the road of the whole country to evaluate risk rating of each slope. Based on this evaluation, the decision-making for maintenance can be conducted, and this procedure will be helpful to establish a consistent and efficient policy of safe road. CSMS has updated the database of all slopes annually, and this database is constructed based on a basic and detailed investigation. In the database, there are two type of data: first one is an objective data such as slopes' location, height, width, length, and information about underground and bedrock, etc; second one is subjective data, which is decided by experts based on those objective data, e.g., degree of emergency and risk, maintenance solution, etc. The purpose of this study is identifying an data application plan to utilize those CSMS data. For this purpose, logistic regression, which is a basic machine-learning method to construct a prediction model, is performed to predict a judging-type variable (i.e., subjective data) based on objective data. The constructed logistic model shows the accurate prediction, and this model can be used to judge a priority of slopes for detailed investigation. Also, it is anticipated that the prediction model can filter unusual data by comparing with a prediction value.