• Journal of Korea Port Economic Association
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• v.35 no.1
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• pp.77-96
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• 2019

Logistics and transportation are increasingly playing a crucial role in international trade relations. Logistics services provide sectoral connections within the local economy. The efficient logistics services facilitate the flow of products; besides ensuring safety and speed of movement, they can reduce the cost of cross-border trade. The Logistics Performance Index (LPI) evaluates the efficiency of customs, quality of transportation service, and infrastructure for overland and maritime transport in each country it covers. The objective of this article is to analyze the impact of the various LPI indicators of Korea's trading partners. The impact of LPI on trade varies according to the income level of the trading partners. The results show that an improvement in any of the components of the LPI can lead to significant growth in a country's trade flow. Exports to Korea will increase as the LPI of the trading partner country is higher. This index has a greater impact on the exports of low-income countries.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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• v.34 no.4
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• pp.117-133
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• 2021

Objectives : Pityriasis rosea is an acute and subacute papular scaly disease, and is a disease that mainly resolves spontaneously. However, since the outbreak of COVID-19, the possibility that the disease may occur as a sequelae of the disease and side effects of vaccination has been announced. Methods : We searched articles related to oriental treatment of pityriasis rosea at organized in domestic and foreign DBs. Articles were searched for RCT. The results were summarized in tables and graphs, and meta-analysis was performed. Also, we assessed the risk or bias. Results : As a result of setting the herbal medicine alone treatment as an intervention for pityriasis rosea and Western medicine alone as the control group, total 9 articles were searched. We analyzed them and got the results. The efficient rate of the treatment group was statistically significantly higher than that of the control group. In addition, adverse events were significantly less in the treatment group than in the control group. Conclusions : Herbal medicine treatment can be more effective than Western therapy(mainly anti-histamines and glycyrrhizin injection) for pityriasis rosea. In addition, herbal medicine treatment can be superior to Western treatment for safety. However, the limitations of this study include the small number of articles, no other evaluation indicators other than the efficient rate, and insufficient data such as pathological examination.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.612-618
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• 2020

In recent years, the demand for external window cleaning has increased, but the process is a very dangerous manpower-dependent operation. In addition, it is difficult to clean at the desired frequency in a business that values cleanliness. Therefore, there is a need to automate this work. This paper presents the concept of a device that can be attached to a specific window and clean the window continuously. The economic feasibility of this device was analyzed. The estimated manufacturing cost of the equipment was approximately 10 million won, but the possible investment cost was at least 9.8 million won for five years of endurance and 103 million won for 10 years of endurance. Therefore, the expected savings well exceed the equipment cost, and it was evaluated as having economic feasibility. Since this study analyzed only quantitative indicators, the expected cost reduction due to a reduction in safety accidents, productivity improvement, construction time reduction, and quality improvement was not considered. Therefore, it is expected that the calculated economic feasibility will be more accurate if the cost reduction effect by the automation equipment is calculated by adding the expected values not considered in this study.

• The Journal of Pediatrics of Korean Medicine
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• v.36 no.1
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• pp.38-56
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• 2022

Objectives The purpose of this study was to analyze the trend of recent randomized controlled trials (RCTs) that used herbal medicine for the treatment of tic disorders in China and to evaluate the efficacy and safety of the treatment. Methods RCTs published from January 2017 to December 2021 were searched for using the China National Knowledge Infrastructure (CNKI). These were then analyzed using herbal medicine treatment methods and their results. Results A total of 35 randomized controlled trials were selected and analyzed. In most studies, evaluation indicators such as the Yale tic symptom scale and total effective rate were significantly improved in the herbal medicine treatment group compared to the control group. The most commonly used herb for tic disorder was Uncaria Rhynchophylla (釣鉤藤), followed by Glycyrrhizae Radix (甘草), Gastrodiae Rhizoma (天麻), Paeoniae Radix Alba (白芍藥), Batryticatus (白殭蠶), Poria (茯笭), and Bupleuri Radix (柴胡). In all studies that reported adverse events, herbal medicine was identified as a relatively safe treatment with fewer adverse reactions or no significant difference compared with the control group. Conclusions Based on the results of RCTs, herbal medicine has been shown to be safe and effective for the treatment of intellectual disability. However, additional well-designed large-scale clinical trials are needed to confirm these findings.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.147-157
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• 2022

The purpose of this study is to establish policy recommendations for the promotion of AI service impact assessment based on the definition of impact assessment and analysis of domestic and foreign AI service impact assessment cases. The direction of implementation was analyzed based on the case of impact evaluation promoted in various fields at home and abroad and the case of impact evaluation at home and abroad of artificial intelligence services. As a step-by-step implementation plan, in the first stage, quantitative indicators such as AI level survey-based economic effects are developed, and in the second stage, information culture such as safety and reliability and artificial intelligence ethics described in the Framework Act on Intelligence Information, social, economic, information protection, and people's daily lives are prepared. In the third stage, discussion on detailed metrics and methods will be expanded and impact assessment results will be evaluated. This study requires analysis through various participants such as policy designers, artificial intelligence service developers, and civic groups in the future.

• The Journal of Korean Obstetrics and Gynecology
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• v.36 no.1
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• pp.73-89
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• 2023

Objectives: The purpose of this review is to analyze domestic and foreign studies related to the effect of Korean Medicine Treatment for Postpartum Back Pain. Methods: Clinical studies applying Korean Medicine Treatment on Postpartum Back Pain were searched using domestic and foreign search engines up to December 2022. After searching studies, we analyzed selected studies and 11 studies were selected as a result. Results: All of the patients studied in the case study showed a decrease in Postpartum Back Pain after treatment compared to before treatment and in the control study, it was found that indices evaluating Postpartum Back Pain after treatment were significantly improved in the experimental group compared to before treatment in the experimental group. It was found that the scores of the relevant indicators were more significantly improved in the experimental group than control group. Conclusions: Korean Medicine Treatment is effective for Postpartum Back Pain. In the future, studies to analyze the specific effects and safety of each Korean Medicine Treatment for postpartum back pain and well-designed studies will be needed to establish the foundation of Korean Medicine Treatment for Postpartum Back Pain.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.12
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• pp.3904-3922
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• 2022

As a research hotspot, pedestrian detection has a wide range of applications in the field of computer vision in recent years. However, current pedestrian detection methods have problems such as insufficient detection accuracy and large models that are not suitable for large-scale deployment. In view of these problems mentioned above, a lightweight pedestrian detection and early warning method using a new model called you only look once (Yolov5) is proposed in this paper, which utilizing advantages of Yolov5s model to achieve accurate and fast pedestrian recognition. In addition, this paper also optimizes the loss function of the batch normalization (BN) layer. After sparsification, pruning and fine-tuning, got a lot of optimization, the size of the model on the edge of the computing power is lower equipment can be deployed. Finally, from the experimental data presented in this paper, under the training of the road pedestrian dataset that we collected and processed independently, the Yolov5s model has certain advantages in terms of precision and other indicators compared with traditional single shot multiBox detector (SSD) model and fast region-convolutional neural network (Fast R-CNN) model. After pruning and lightweight, the size of training model is greatly reduced without a significant reduction in accuracy, and the final precision reaches 87%, while the model size is reduced to 7,723 KB.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.6_3
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• pp.1183-1190
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• 2022

Recently, the Ministry of Strategy and Finance announced a plan to reduce the proportion of economic evaluation in non-metropolitan areas and strengthen balanced development evaluation through the reorganization of the preliminary feasibility study system. In addition, the social value of the quality of life, such as job, environment, and safety, which may be affected by the implementation of transportation facility investment projects, was reflected as the main item of policy evaluation. In this study, the ripple effect of the project in terms of social value was reviewed for the Gangil-Chuncheon. The effect of highway opening was investigated by reviewing the feasibility report, post-evaluation report, and statistical indicators. Recently, the Gangil-Chuncheon highway is getting used by around 110,000 people per day. The number of tourists in Chuncheon rapidly has increased from 5 million a year to more than 11 million now. In addition, it was confirmed to produce effects such as population migration, net inflow and land price increase, improvement of living convenience, and expansion of emergency medical care. Although this ripple effect was influenced by various socio-economic factors as well as the opening of the highway, it is clear that it is difficult to occur without the opening of the highway. It is judged that the evaluation of indirect benefits and social values due to the opening of the highway can be quantified through continuous research and data construction. Post-evaluation of construction works, including project efficiency evaluation and ripple effect evaluation, is performed for construction works with a construction cost of more than 50 billion won. In the future, we will continuously improve the evaluation system in order to evaluate the indirect benefits and social values of public investment projects.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.741-747
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• 2022

Fatigue lowers an individual's ability and makes it difficult to perform work. As fatigue accumulates, concentration decreases and thus the possibility of causing a safety accident increases. Awareness of fatigue is subjective, but it is necessary to quantitatively measure the level of fatigue in the actual field. In previous studies, it was proposed to measure the level of fatigue by expert judgment by adding objective indicators such as bio-signal analysis to subjective evaluations such as multidisciplinary fatigue scales. However this method is difficult to evaluate fatigue in real time in daily life. This paper is a study on the fatigue classification model that determines the fatigue level of workers in real time using speech data recorded in the field. Machine learning models such as logistic classification, support vector machine, and random forest are trained using speech data collected in the field. The performance evaluation showed good performance with accuracy of 0.677 to 0.758, of which logistic classification showed the best performance. From the experimental results, it can be seen that it is possible to classify the fatigue level using speech signals.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.4
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• pp.78-96
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• 2023

Urban traffic information is collected by various systems such as VDS, DSRC, and radar. Recently, with the development of deep learning technology, smart intersection systems are expanding, are more widely distributed, and it is possible to collect a variety of information such as traffic volume, and vehicle type and speed. However, as a result of reviewing related literature, the performance evaluation criteria so far are rbs-based evaluation systems that do not consider the deep learning area, and only consider the percent error of 'reference value-measured value'. Therefore, a new performance evaluation method is needed. Therefore, in this study, individual error, interval error, and overall error are calculated by using a formula that considers deep learning performance indicators such as precision and recall based on data ratio and weight. As a result, error rates for measurement value 1 were 3.99 and 3.54, and rates for measurement value 2 were 5.34 and 5.07.