Kim, Kyungnam;Jo, Shin Haeng;An, Ji Hun;Kim, Nakseok
KSCE Journal of Civil and Environmental Engineering Research
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제36권6호
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pp.1125-1131
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2016
The purpose of this paper is to establish an evaluation criteria for pavement condition in bicycle road. The suggested criteria would help in the activation policy of bicycle use. The conventional evaluation criteria is difficult to be applied for the bicycle road since the bicycle road is sensitive to changes in the driving environments such as obstacles and bumps. This study presents the evaluation criteria that is suitable for bicycle road. The criteria was suggested in 5 grades through the impact acceleration range of RMSI (Road Monitoring System using ICT). The grades of the criteria are divided into a range of grade A to E. The grade A is a very good condition, while the grade E is a state that requires immediate maintenance. This study were confirmed the validity through the survey of user's satisfaction. According to the results of survey, the grade A was shown correlation of 91%. The grade E requiring immediate repair was presented correlation of 94%. It showed that the results of surveying the bicycle road users are highly correlated with the suggested criteria for pavement condition. It showed that the criteria are highly correlated with the survey results. Suggested criteria using the RMSI is expected to be effective for maintenance of the bicycle road. In addition, it is expected to ensure the serviceability and safety for the bicycle users.
According to the government's smart factory promotion project for small and medium-sized enterprises, more than 10,000 intelligent factories are scheduled or already built in the country and the government-led goal is to nurture 100,000 skilled workers by 2022. Smart Factory introduces numerous types of education and training courses from the supplier's point of view, such as training institutions belonging to local governments, some universities, and public organizations, in the form of an efficient resource management system and ICT technology convergence in the automated manufacturing equipment. The lack of linkage with the NCS, the standard for training, seems to have room for rethinking and direction. Results of survey is provided for the family companies of K-University in the metropolitan area and Chungnam area, and analyzes job demands by identifying whether or not they want to introduce smart factories. Defining the practitioners who will serve as a window for the introduction of smart factory technology within the company, setting up a training goal in consideration of the career path, and including the level of training required competency units, optional competency units, and training time suitable for introducing and operating smart factories. Author would like to present an NCS-based qualification design plan.
In the ubiquitous computing environments, ICT industries of current society are developed in enormous growth. Medicine or patients with mobile devices can access at any time, any place. The medical procedures at the patient bedside are out of the scope of current systems, which means that patient record and image data access during the medical visit or the execution, recording and confirmation of the medicine prescriptions, still do not enjoy computerized support. Today, the exchange of medical images and clinical information is well defined by DICOM and HL7 standards. The DICOM independent terminal equipment image access system was developed in which a DICOM Engine acts as the gateway between a PACS DB and user's terminal. Implementation system is compatible with most currently available Integration system models. This paper presents a software technology where the medical and nursing staff will be equipped with any device connected by wire and wireless to a central server that provides access to the electronic patient records and that will actively inform about tasks pending distribution. The prototype described in this article implements a medical images and structured reports server that makes the search and recovery of data stored in the DICOM standard possible.
Sensors, equipment, ICT facilities and their corresponding software have a relatively short lifetime relative to that of constructional structure, so these devices have to be continuously fixed or exchanged during maintenance and management. Furthermore, software or analysis tools should be periodically upgraded according to advances in ICT and analysis technology. Conventional monitoring systems have serious problems in that it is difficult for site engineers to modify or upgrade hardware and analysis algorithms. Moreover, we depend on the original system developer when we want to modify or upgrade inner program structures. In this paper, we propose a novel design for integrated maintenance and management of a monitoring system by applying the mobile cloud concept. The system is intended for use in disaster prevention of constructional structures, including bridges, tunnels, and in traditional buildings in a local heritage village, we analyze the status of these structures over a long term or a short-term period as well as in disaster situations. Data are collected over a mobile cloud and future expectations are analyzed according to probabilistic and statistical techniques. We implement our integrated monitoring system to solve the existing problems mentioned above. The final goal of this study is to design and implement a monitoring system for more than 10,000 structures spread within Korea. Furthermore, we can specifically apply the monitoring system presented here to a bridge made from timber in Asan Oeam Village and a traditional house in Andong Hahoe Village to monitor for possible disasters. The entire system design and implementation can be developed on the LinkSaaS platform and the monitoring services can also be implemented on the platform. We prove that the proposed system has good performance by performing a TTA authentication test, web accommodation test, and operation test using emulated data.
Journal of the Korean Association of Geographic Information Studies
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제20권1호
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pp.127-136
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2017
U-City laws are divided into three categories: intellectual laws, information superhighway laws, and integrated operation center laws. Previous studies have suggested that efficient infrastructure operation and management is necessary in Ubiquitous-City (U-City). However, infrastructure is often interpreted differently by different laws. The purpose of this study was to plan for the integrated operation of intelligent service facilities by comprehensively analyzing the law system of domestic intelligent service facilities and problems in operation and management based on this critical mind. For this, present conditions and problems of intelligent service facilities were found through interviews with people who are in charge of the law system and other practitioners. The necessity of integrated use, including city information generated from intelligent service facilities and installment locations, has been demonstrated. Government ministries and local governments have established various information systems using ICT and U-City laws that specify integrated management and operation, but do not clearly specify definitions for the specific responsibility and authority for main agents participating in facility operation. A system is needed to smoothly mediate the relevant divisions so that they can use installed equipment simultaneously for efficient operation in generating city information. This objective of this study was to prepare a unitary law system for efficient installment and management of intelligent service facilities by establishing a logically linked relationship among the relevant laws and regulations. This will provide a foundation for a management system that has an integrated linkage of intelligent service facilities.
The Journal of the Institute of Internet, Broadcasting and Communication
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제19권1호
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pp.203-209
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2019
In this work, a new land-specific resistance measuring device (GM) and a measuring probe (Grounding Rod) are connected to the WENNER quadrant as power-line communication (PLC). In groups of two (P1,P2) probes, five to ten probes are installed in series on the ground at intervals of 1m, 2m, 4m, 8m, and 16m, respectively. If the PLC signal from the GMD is detected by the receiver of the Probe 1 (P1) for measurement, the minute voltage and current for measurement flow from the PSD (power supply) attached to the probe to the ground, and then, through the soil between P1 and P2, enters the Probe 1 (P2). The resistance value is then measured by the principle of voltage drop due to ground resistance. Measure the earth resistance every T seconds up to 1 trillion and store the measured data on the Arduino Server mounted on the main equipment. Stored measurement data can be derived from formulas by Ohm's Law and from inherent resistance (here,). Data obtained in real time will be linked to CDGES programs installed on Main PC, enabling data analysis and real-time monitoring of the ground environment on land. In addition, a three-dimensional display is possible with 3D graph support by identifying seasonal characteristics such as temperature and humidity of land (soils). The limitations of the study will require specific application measures of Test Bed for commercial access to a model that has been developed and operated experimentally.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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제14권2호
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pp.105-118
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2019
New manufactural innovation was generated with combination with Do It Yourself(DIY) culture and Information and Communication Technology(ICT). It led people to make their creative idea in real things and share them. This social movement has been called as 'Maker' culture. As maker culture was developed, the places named 'Makerspace' with high-tech equipment and sharing environment have been widely spread and gotten spotlight. Futhermore, makerspaces have been diffused rapidly in Korea; because of its importance for the fourth industrial revolution. However, the operation of makerspaces is not matured as much as its popularity, so problems occurred in operating aspects. The number of related studies is not enough to foster domestic maker culture in Korea. Of that, studies on operation of makerspaces were limited and the quantity of survey sample was insufficient. Therefore, firstly, in this study, operation elements of makerspaces were extracted by literature review. And, survey for examining the extracted elements was conducted to four policy makers and researchers, four makerspace operators and four makers. Final survey was carried out by Importance-Performance Analysis(IPA) method to fifty recipients composed of policy makers and researchers, operators, and makers. In result, importance located above performance in every elements and in-depth interview was followed to understand domestic surroundings and suggest way to invigorate makerspaces in Korea. The suggestion shows as follows. First, online and offline platform for makers should be expanded; second, makerspace should connect private sponsorship with makers or their projects; third, policy direction has to be improved from venturing business to diffusion of maker culture; fourth, basic maker education should be enlarged.
In the era of the 4th industrial revolution, smart factories have received great attention, where production and manufacturing technology and ICT converge. With the development of IoT technology and big data, automation of production systems has become possible. In the advanced manufacturing industry, production systems are subject to unscheduled performance degradation and downtime, and there is a demand to reduce safety risks by detecting and reparing potential errors as soon as possible. This study designs a model based on supervised and unsupervised learning for detecting anomalies. The accuracy of XGBoost, LightGBM, and CNN models was compared as a supervised learning analysis method. Through the evaluation index based on the confusion matrix, it was confirmed that LightGBM is most predictive (97%). In addition, as an unsupervised learning analysis method, MD, AE, and LSTM-AE models were constructed. Comparing three unsupervised learning analysis methods, the LSTM-AE model detected 75% of anomalies and showed the best performance. This study aims to contribute to the advancement of the smart factory by combining supervised and unsupervised learning techniques to accurately diagnose equipment failures and predict when abnormal situations occur, thereby laying the foundation for preemptive responses to abnormal situations. do.
Partial discharge occurs a lot in high-voltage power equipment such as switchgear, transformers, and switch gears. Partial discharge shortens the life of the insulator and causes insulation breakdown, resulting in large-scale damage such as a power outage. There are several types of partial discharge that occur inside the product and the surface. In this paper, we design a predictive model that can predict the pattern and probability of occurrence of partial discharge. In order to analyze the designed model, learning data for each type of partial discharge was collected through the UHF sensor by using a simulator that generates partial discharge. The predictive model designed in this paper was designed based on CNN during deep learning, and the model was verified through learning. To learn about the designed model, 5000 training data were created, and the form of training data was used as input data for the model by pre-processing the 3D raw data input from the UHF sensor as 2D data. As a result of the experiment, it was found that the accuracy of the model designed through learning has an accuracy of 0.9972. It was found that the accuracy of the proposed model was higher in the case of learning by making the data into a two-dimensional image and learning it in the form of a grayscale image.
Journal of Korea Entertainment Industry Association
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제15권7호
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pp.17-32
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2021
This is an environmental analysis study for discovering specialized local sports tourism and aims to provide implications for the development of sports tourism industry in the Chuncheon region by analyzing the current status of domestic and overseas sports tourism and presenting overseas cases of specialized regional sports tourism. Therefore, through SWOT analysis and secondary data survey, implications for the development direction according to facilities, programs, and public relations and marketing were derived. Sports tourism contributes to vitalization of local economy by converging with local tourism centering on sports participation or viewing. Thus, it must be organized with differentiated products taking into account the characteristics of the area. An investigation of the main components of domestic and overseas sports tourism shows that mega sports events or specialized local leisure sports are connected to tourism resources for commercialization. In Korea, 3 to 4 local areas are discovered and supported annually through the specialized local sports tourism promotion program. This study suggests a development plan by evaluating and analyzing the performance of the Chuncheon Spo-Tour program. In terms of facility, it is necessary to construct accommodation facilities that harmonize with the natural environment, develop new programs connected to Songam Sports Town, and reinforce existing equipment. In terms of program, it is necessary to develop canoe/kayak water courses utilizing Uiam-Lake, train professionals to operate programs, and develop programs that take into consideration seasonal characteristics as well as the level of each participants. In terms of PR/marketing, it is important to build competitiveness by using ICT, improving public awareness of the sites, and adopting reasonable pricing policies. The development of specialized local sports tourism products through remedies and efforts will contribute to vitalization of local economy.
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