• Science of Emotion and Sensibility
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• v.23 no.1
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• pp.41-56
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• 2020

This study suggests multisensory interaction techniques to help visually impaired people appreciate and understand artworks through non-visual senses such as tactile, auditory, and olfactory senses. A user study was conducted on the basis of a qualitative interview about the experience of appreciating artwork through the multisensory interaction system to visually impaired people so as to verify the development of the interaction techniques. The user test shows that the multisensory interactions in artwork generally not only help them appreciate and understand it but also give them satisfaction through artwork appreciation. However, it also indicates that some multisensory interactions caused the visually impaired people confusion and could not be perceived during the appreciation. On the basis of these outcomes, implications in this study are as follows. This study has contributed to providing specific development guidelines and indicators of non-visual multisensory interactions as a technical alternative to improve accessibility to cultural and artistic activities for the visually impaired. Furthermore, this study is expected to contribute to building a technical background, which can provide comprehensive sensory experiences with not only blind people but also non-blind people such as children and the elderly through universal interaction techniques beyond existing visual-oriented fragmentary experience.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.5
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• pp.1-18
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• 2023

With the recent developments in big data and deep learning, a variety of traffic information is collected widely and used for traffic operations. In particular, long short-term memory (LSTM) is used in the field of traffic information prediction with time series characteristics. Since trends, seasons, and cycles differ due to the nature of time series data input for an LSTM, a trial-and-error method based on characteristics of the data is essential for prediction models based on time series data in order to find hyperparameters. If a methodology is established to find suitable hyperparameters, it is possible to reduce the time spent in constructing high-accuracy models. Therefore, in this study, a traffic information prediction model is developed based on highway vehicle detection system (VDS) data and LSTM, and an impact assessment is conducted through changes in the LSTM evaluation indicators for each hyperparameter. In addition, a methodology for finding hyperparameters suitable for predicting highway traffic information in the transportation field is presented.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2541-2549
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• 2013

The Construction industry has been dealing with much trouble due to global economic recession and domestic political trends emphasizing on welfare than development. Consequently, domestic construction market has been dramatically shrunk during the last a few years, and international market has become the only potential solution for the industry. However, there has been lack of efforts in developing a quantified measure of global competencies for Korean engineering and construction organizations. This study attempted to develop quantified indices for Korean engineering and construction contractors with which the level of global construction competencies can be objectively monitored. In doing so, a survey questionnaire was developed to identify relative importances of core competency elements which were derived from extensive literature reviews and experts interviews. AHP (Analytic Hierarchy Process) was employed as a main analysis method in developing quantification measures. The analysis results reveal little differences in competency requirements between engineering and construction firms and it implies that the global market becomes more integrated and requires a total solution for a construction project. The developed core competency measures can be used to quantify the level of preparedness of Korean engineering and construction firms at the time of evaluation and also be used as a basis for performance benchmarking indicators if they are compared with business showings.

• Journal of Korean Society of Transportation
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• v.24 no.3 s.89
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• pp.63-71
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• 2006

There were many theories to suggest the indicators that evaluate stability and reflect the plan in mixed traffic street in all traffic modes This Paper analyzed residential street of Suwon City adopting time-space occupancy index among these indicates. Three survey street. congregated into apartment house. were selected to analyze this and pictured by video camera over one hour. and the length of these street were 76m, 55m, and 34m each, and major street by each region, comparably high in Pedestrians and pass vehicles, were selected. Basic datum to calculate time-space occupancy index and time-space occupancy index per person was gathered through video analysis. i.e Parameters for pedestrians, cars, bicycles, average speed of bicycles, and parking car. There are some limitation to analyze LOS of mixed traffic street in all traffic modes, not pedestrian mall. Therefore this paper presented evaluation standard of LOS. In conclusion. the aim of this paper is to suggest modeling based on guidelines for evaluating LOS of mixed traffic street in all traffic modes. It is estimated that this will be influencing indicates for improving pedestrian environment, and Planning mixed traffic street in future.

• Journal of Environmental Impact Assessment
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• v.25 no.6
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• pp.402-413
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• 2016

Marine oil spill accidents are occurring continuously due to the marine transportation of the oil. While building a preventive system for oil spill is uttermost necessary, we also need to have a systematic response system to handle the oil spills that inevitably occur. So far, studies have focused on the environmentally sensitive resources affected by oil spills. However, there is a need to conduct research to evaluate the damage to the socially and economically sensitive resources that make up the life of local residents. This study represents the process of building an analytical framework for the assessment of socioeconomic resources affected by marine oil spills. While it is important to provide a scheme for identification and indexation of socially and economically sensitive resources that is compatible with Korea's situations, using existing data for identifying socio-economically sensitive resources might also be meaningful. However, to allow accurate analysis for better evaluation, we need to select more applicable data among the various indicators. In this research, we have reviewed many existing case studies of sensitive resources, studies of the variables that have been used for indexing sensitive resources, and various factors considered in SIA (Social Impact Assessment). Based on the findings, we classify socio-economically sensitive resources into marine products acquisition, population, land usage, administrative area, and cultural heritage and tourist region.

• Journal of Environmental Policy
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• v.10 no.2
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• pp.21-44
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• 2011

It is important to consider an equitable allocation framework for domestic GHG emission reduction. First, the study established criteria and indicators for the National Allocation Plan (NAP) based on the principles of cost-efficiency and social-acceptance, and performed a case study of the sectoral effort sharing method, using the effort sharing index. The equity analysis of effort sharing based on sectoral preferences and inter-sectoral equity using a Lorenz Curve are performed. The equitable method is more likely to be suitable than the economic one which considers just reduction potential. Equitable effort sharing reflects a higher level of equity than economic effort sharing. At the same time, the equitable effort sharing method is essential for reflecting equity and establishing criteria for equity because evaluation with the equitable effort sharing method depends in particular on the weight of equity criteria. The result suggests the importance of consideration of equity and the establishment of equity criteria. In conclusion, it is critical to consider not only cost-efficiency but equity in policy decision making in terms of the sectoral effort sharing for national GHG reduction target.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.498-510
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• 2022

Among the various factors that form fonts, the concept of a new Korean font term called Inner Space Width was developed and the effect of changes in fonts applied to readability was analyzed. [Experiment 1] An empirical analysis was attempted on how the Korean-shaped Outer Space Width affects readability among the texts. Among the factors that make up the paragraph, Outer Space Width by letter size, letter size, letter spacing, letter spacing, and letter shape was composed of Yoon Myung-jo 110-160 and Inner Space Width of Yoon Myung-jo 110 was the widest at 26.83%. [Experiment 2] In-depth interviews with experts were conducted to derive factors and evaluation indicators constituting the inner space. Inner Space Width is evaluated as a complex factor that affects preference and fatigue, and is related to understanding and speed. This study empirically reviewed the effect on readability using the concept of Inner Space Width in the absence of existing research on Hangul-shaped fast space, and is expected to be actively used in the development of fonts in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.409-416
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• 2020

Artificial intelligence, which is in the spotlight as the core driving force of the 4th industrial revolution, is expanding its scope to various industrial fields such as smart factories and autonomous driving with the development of high-performance hardware, big data, data processing technology, learning methods and algorithms. In the field of defense, as the security environment has changed due to decreasing defense budget, reducing military service resources, and universalizing unmanned combat systems, advanced countries are also conducting technical and policy research to incorporate artificial intelligence into their work by including recognition systems, decision support, simplification of the work processes, and efficient resource utilization. For this reason, the importance of technology-driven planning and investigation is also increasing to discover and research potential defense future technologies. In this study, based on the research data that was collected to derive future defense technologies, we analyzed the characteristic evaluation indicators for future technologies in the field of artificial intelligence and conducted empirical studies. The study results confirmed that in the future technologies of the defense AI field, the applicability of the weapon system and the economic ripple effect will show a significant relationship with the prospect.

• Resources Recycling
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• v.20 no.6
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• pp.43-49
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• 2011

This study calculated the three indices of Korea's resource productivity (and raw material productivity), material circulation rate and decoupling factor to evaluate the sustainability of domestic economic activities and resource consumption and examine the extent of dematerialization. Korea's resource productivity improved 22% from 1.32 million KRW/ton in 2000 to 1.61 million KRW/ton in 2007, with the annual average growth of resource productivity during the period standing at 2.88%. Raw material inputs accounted for 73-76% of domestic material consumption (DMC); raw material productivity for the year 2007 was 2.11 million KRW/ton, growing 3% on annual average from 2000 through 2007. The wastes released are circulated into the economic system through recycling and energization. Korea's material circulation went up from 10.9% in 2000 to 15.6% in 2007, growing by an annual average of 5.3% during the period. The rate of change in year-on-year growth, however, was found to be on the gradual decrease. This study also showed that Korea's economic activities were decoupled with its resource consumption as the country heads toward dematerialization through sustainable resource management.

• Management & Information Systems Review
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• v.33 no.1
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• pp.45-63
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• 2014

A trading system is a computer trading program that automatically submits trades to an exchange. Mechanical a trading system to execute trade is spreading in the stock market. However, a trading system to trade a single asset might occur instability of the profit because payoff of this system is determined a asset movement. Therefore, it is necessary to develop a trading system that is trade two assets such as a pair trading that is to sell overvalued assets and buy the undervalued ones. The aim of this study is to propose a relative value based trading system designed to yield stable and profitable profits regardless of market conditions. In fact, we propose a procedure for building a trading system that is based on the rough set analysis of indicators derived from a price ratio between two assets. KOSPI 200 index futures and S&P 500 index futures are used as a data for evaluation of the proposed trading system. We intend to examine the usefulness of this model through an empirical study.