• Journal of Agricultural Extension & Community Development
• /
• v.27 no.4
• /
• pp.173-184
• /
• 2020

Is the Fourth Industrial Revolution a revolution for cities only? Through the Fourth Industrial Revolution, Korea has entered quickly in the influence area of intelligent information technology such as IoT, AI, Big data, Cloud, ICT, Digital twin. However, as the information gap between the rural zone and the urban zone worsens, a policy was needed to reduce such a gap. Therefore, this research analyzed EU's smart village project, and investigated the problem and improvement of the actual smart village through the interview and field study with the person in charge of the actual smart village project in Korea. Based on the analytic result, 5 plans were deduced to improve Korea's smart village project. First, make the realistic adjustment of project period to assure the sustainability of smart village; second, make the new establishment of the department in charge of smart village project; third, construct the system of integrating and cooperating the policy that can embrace all the rural zone and the urban zone; the fourth, expand the application area of customized ICT technology according to the new rural policy environment; and finally introduce the residents' capacity development project through the rural guidance project.

• Journal of Korean Society of Occupational and Environmental Hygiene
• /
• v.31 no.4
• /
• pp.378-384
• /
• 2021

Objectives: Horse trainers ensure the horses they are training and monitor horse's health, hygiene. While most of the studies on horse trainer's health focused on musculoskeletal disorders, few studies have examined the health effect of occupational exposure. This study aimed to investigate the risk of lung cancer in Korean Horse trainers. Methods: Among the largest health screening program of health screening service of the National Health Insurance Corporation, 2,246 workers were selected for study. We utilized data from the National Health Insurance Service (NHIS) National Cohort Data Base 2005-2017. We performed analyses using a Cox's proportional hazards model to identify the risk of lung cancer in Horse trainers. Results: This study found that the horse trainers group had a higher risk of lung cancer 10.07 (95% CI :2.38-42.64) compared to other occupational group. Additionally, there was 6.5 times higher risk of lung cancer in non-smoker horse trainers group. Conclusions: We, thus, verified horse trainers could have relation with increase of lung cancer risk. As lung cancer is known as a cancer with a high contribution of occupational factors compared to other cancers, it is necessary to determine the efficacy of continuous attention and active management of occupational exposure.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.20 no.4
• /
• pp.117-130
• /
• 2018

As women wear shoes for a long time due to aesthetic elements and working environment, many women experience discomfort and deformation in their feet due to their shoes and the production of comfortable shoes is becoming an important issue. The purpose of this study is to investigate the factors affecting the grip of shoes by foot type, shoe design, and wearing attitude of shoes. Through this, we suggest solutions for foot discomfort due to wearing shoes and help to prevent foot related diseases. The study results are as follows; first, a wide foot, square-type, and high or low arch (hollow foot or flat foot) among foot shapes influenced the fatigue and pain of feet, and big feet over 250mm-long, wide feet, square-type feet, and high-arch feet (hollow foot) had an influence on distortion and side effects. Second, among the characteristics of wearing shoes influencing foot discomfort, the higher the shoe heels were, the narrower the surface covering the feet was (pumps and mule), and the shoes with high front heels and narrow back heel area, the shoe wearer had a higher possibility of experiencing fatigue and pain and even had not only fatigue and pain but also side effects when she wore pointed shoes. Third, a shoe wearer experiences fatigue and pain if she wears shoes for a shorter period of time, stay stood while wearing shoes for a short time, and wears shoes that are bigger or smaller than the actual shoe size. Fourth, fatigue and pain experiencers and distortion and side effects experiencers all responded that they change into other shoes to deal with foot discomfort and that they directly massage their feet.

• The Transactions of the Korean Institute of Electrical Engineers P
• /
• v.67 no.4
• /
• pp.183-190
• /
• 2018

Predicting accurate electricity prices is an important task in the electricity trading market. To address the electricity price forecasting problem, various approaches have been proposed so far and it is known that linear regression-based approaches are the best. However, the use of such linear regression-based methods is limited due to low accuracy and performance. In traditional linear regression methods, it is not practical to find a nonlinear regression model that explains the training data well. If the training data is complex (i.e., small-sized individual data and large-sized features), it is difficult to find the polynomial function with n terms as the model that fits to the training data. On the other hand, as a linear regression model approximating a nonlinear regression model is used, the accuracy of the model drops considerably because it does not accurately reflect the characteristics of the training data. To cope with this problem, we propose a new electricity price forecasting method that divides the entire dataset to multiple split datasets and find the best linear regression models, each of which is the optimal model in each dataset. Meanwhile, to improve the performance of the proposed method, we modify the proposed localized linear regression method in the map and reduce way that is a framework for parallel processing data stored in a Hadoop distributed file system. Our experimental results show that the proposed model outperforms the existing linear regression model. Specifically, the accuracy of the proposed method is improved by 45% and the performance is faster 5 times than the existing linear regression-based model.

• Journal of the Korean Society of Physical Medicine
• /
• v.13 no.4
• /
• pp.131-138
• /
• 2018

PURPOSE: This study was conducted to compare the muscle activity of the proximal muscles of the lower limb according to the distance between the front and rear foot during lunge and to determine the most effective foot position for activation of the proximal muscle in the limb. METHODS: A total of 49 young adults were enrolled in this study. All subjects performed lunge by positioning the big toe of the back foot and the heel of the front foot at intervals of 40%, 60%, and 80% of the subject's own leg length. Muscle activity of the vastus medialis oblique, rectus femoris (RF), vastus lateralis oblique (VLO), gluteus medius, biceps femoris, and semitendinosus (ST) was then measured during three intervals of lunge operation. Each operation was measured three times for 10 seconds each, after which the average value was calculated and analyzed. RESULTS: There were significant differences in muscle activities of RF, VLO, and ST among the three intervals of the foot (p<.05). Post hoc, comparisons revealed lunge at 40% intervals resulted in higher RF and VLO activity than at 60% and 80% intervals (p<.05). In the semitendinosus muscle, 80% leg length intervals showed higher muscle activity than 40% (p<.05). CONCLUSION: Strengthening of the proximal muscles of the lower extremities during lunge exercise is considered to be most effective when placing the fore- and rear foot at intervals corresponding to 40% of the leg length.

• The Journal of the Korea Contents Association
• /
• v.19 no.1
• /
• pp.74-85
• /
• 2019

This Study explores the reason why the social media like Cyworld, Iloveschool in Korea in the viewpoint if the layered model by interview. As a result the success factor in the viewpoint of layered model, user used social media for fulfilling the need for linking with other users and the social media offers the customized contents to user. Finally the social media dominated the market in advance. Facebook and Kakao talk are good examples of successful media. The failure factors are to care less about what other users want, to limit the expand of platform and not to copy with the change of the media environment. Iloveschool, Cyworld and Twitter are the examples of failure social media in Korean society. This study highlights the importance of the sensitivity of the change of environment. The expert mentioned the importance of 4th industrial revolution technology like AI, Big data and expected that new technology will emerge and the service will be developed by the change of user's taste.

• Smart Media Journal
• /
• v.7 no.4
• /
• pp.30-36
• /
• 2018

Single domain model like DataLake framework is in spotlight because it can improve data efficiency and process data smarter in big data environment, where large scaled business system generates huge amount of data. In particular, efficient operation of network, storage, and computing resources in logical single domain model is very important for physically partitioned multi-site data process. Based on the advantages of Data Lake framework, we define and extend the concept of Connected Data Architecture and functions of DataLake framework for integrating multiple sites in various domains and managing the lifecycle of data. Also, we propose the design of CDA-based AI service and utilization scenarios in various application domain.

• Journal of The Korean Society For Urban Railway
• /
• v.6 no.4
• /
• pp.411-416
• /
• 2018

It is generally not preferable to install a turnout on a sharp curves but it is not desirable for the safety of a train. However, in a mountainous area or a depot where a sufficient space can not be secured to secure a straight line. In this study, in order to analyze the cause of train derailment accident that occurred in the place where turnout is installed in a sharp curves, we performed derailment analysis using line data and accident vehicle data measured at the location where the accident occurred. This derailment coefficient maximum turnout at the start of the track and derailment curve analysis showed that even big enough to cause a derailment as 1.37 in size, which was found to be consistent with the actual site survey results derailment occurred.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.21 no.4
• /
• pp.81-90
• /
• 2018

The 'Hyper-connected society' in which all objects such as people, device, place are connected via networks and share information being realized. As the information and communication environment changes, spatial information also faces a significant challenge. Korean government is striving to meet the social demand for spatial information that will bring 'Hyper-connectivity' such as autonomous vehicles, drones. Until now, however, it has only partially responded to urgent demand and has not prepared a fundamental countermeasure. In order to effectively and actively respond to the demand for spatial information that is needed in the Hyper-connected society, a strategy that can lead to mid- to long-term fundamental changes is needed. The purpose of this study is to analyze the future demand and application characteristics of spatial information confronted with a big paradigm shift called 'Hyper-connected society', and to search spatial information strategy that can cope with the demand of spatial information in future society.

• The Journal of Society for e-Business Studies
• /
• v.23 no.4
• /
• pp.153-169
• /
• 2018

Previous e-financial anomalies analysis and detection technology collects large amounts of electronic financial transaction logs generated from electronic financial business systems into big-data-based storage space. And it detects abnormal transactions in real time using detection rules that analyze transaction pattern profiling of existing customers and various accident transactions. However, deep analysis such as attempts to access e-finance by insiders of financial institutions with large scale of damages and social ripple effects and stealing important information from e-financial users through bypass of internal control environments is not conducted. This paper analyzes the management status of e-financial security programs of financial companies and draws the possibility that they are allies in security control of insiders who exploit vulnerability in management. In order to efficiently respond to this problem, it will present a comprehensive e-financial security management environment linked to insider threat monitoring as well as the existing e-financial transaction detection system.