• Journal of KIBIM
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• v.12 no.4
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• pp.61-69
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• 2022

Earthmoving operations account for approximately 25% of construction cost, generally executed prior to the construction of buildings and structures with heavy equipment. For the successful completion of earthwork projects, it is crucial to constantly monitor earthwork equipment (e.g., trucks), estimate productivity, and optimize the construction process and equipment on a construction site. Traditional methods however require time-consuming and painstaking tasks for the manual observations of the ongoing field operations. This study proposed the use of a GPS sensor embedded in a smartphone for the tracking and visualization of equipment locations, which are in turn used for the estimation and simulation of cycle times and production rates of ongoing earthwork. This approach is implemented into a digital platform enabling real-time data collection and simulation, particularly in a 2D (e.g., maps) or 3D (e.g., point clouds) virtual environment where the spatial and temporal flows of trucks are visualized. In the case study, the digital platform is applied for an earthmoving operation at the site development work of commercial factories. The results demonstrate that the production rates of various equipment usage scenarios (e.g., the different numbers of trucks) can be estimated through simulation, and then, the optimal number of tucks for the equipment fleet can be determined, thus supporting the practical potential of real-time sensing and simulation for onsite equipment management.

• Journal of the Korea Institute of Building Construction
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• v.16 no.6
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• pp.535-544
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• 2016

Korean government is promoting "K-Smart City" to overseas market which is an integrated solution of construction industry with ICT(Information and Communciations Technologies) industry. Due to nature of Smart City, construction quality and the development quality of the facilities need to be established to improve the overall quality. However, guidelines and regulations to initiate quality control for Smart City are behind the actual demand. This deficiency is bringing quality control for construction and ICT to be controlled separately causing lack of synergy and resulting in overall quality degradation. This research is designed to improve the construction quality of Smart City during its establishment stage by integrating ICT system with on-site construction (Integrated control center and on-site equipment). The adoption of this research to a real Smart City case had resulted in 22% reduction of construction inspection failure (Audit), and also allowed Construction Company to pre-align quality control of all purchased items of ICT Infra that resulted in 18% reduction of nonconformity, thus contributing to an overall quality improvement. This research is expected to be used widely among all construction industry of Smart City.

• Smart Media Journal
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• v.9 no.3
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• pp.130-141
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• 2020

The drone market in Korea is growing with a focus on the use of prevention, defense, exploration and surveying, search and rescue, video shooting, and facility management. However, the foreign dependence on drone's core technologies and components is high. Drone-powered countries such as the US and China are expanding the weaponization of drones, which can intensify trade wars between countries, such as strengthening import and export regulations and monopoly. Therefore, Korea should put R & D and localization of core technology, parts, and accessories of next generation drone first. For this, policy research and investment in infrastructure, equipment, and research personnel should be preceded. This study studied the evaluation of investment priorities by infrastructure sector (facility equipment, utilization field, and demand manpower) to foster small drone companies through literature studies. To this end, we expanded and reclassified e isting research, developed investment prioritization indicators through expert group interviews and reviews, derived future uncertainties, and selected investment priorities by infrastructure sector using AHP techniques. Finally, it proposed an infrastructure construction strategy to foster small drone companies in terms of drone development support, utilization support.

• Fashion & Textile Research Journal
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• v.19 no.2
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• pp.221-229
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• 2017

This study researched the needs of smart fashion items using energy harvesting for outdoor wearers and surveyed the application areas and design preferences for energy-harvesting systems based on outdoor activities. A total of 217 subjects were surveyed. Subjects who had at least 3 years of experience in outdoor activities were selected in order to increase the reliability of the research results. The survey investigated lifestyles based on outdoor activities, outdoor clothing and electronic equipment usage, purchase style, utilization plan, and design preference for energy-harvesting clothing and supplies. The results showed that 62.7% of the respondents had experience in outdoor activities for more than five years. 96.3% of the subjects carried electronic equipment, and 179 participants(82.5%) experienced discomfort due to battery consumption/dead batteries during outdoor activities. 78.4% were interested in smat fashion items using energy-harvesting technology, and the energy-conversion technology that was useful for outdoor activities was "kinetic energy"(74.7%). Participants showed a high preference for a detachable type(30.9%) and a city type(69.1%) that can be worn in outdoor activities as well as in general life. The preferred location of the electric power-charging device was the "Hem area of top garment"(35.9%), and the reason for this selection was that it was easy to operate and did not interfere with movement. The data from this paper can be used as a basis for product planning and product design for energy-harvesting apparel designers and supply developers for outdoor clothing.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.6
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• pp.119-123
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• 2016

In the coastal area, many kind of vessels are operating and exposed to the various marine accidents. In particular, small-size vessels, which are not equipped with the safety equipment, are in the defenceless state to the marine accidents such as the accident according to vessel's own state caused by the diverse reasons and the collision with the neighborhood vessels and objectives. So it is necessary to resolve these situations through the inexpensive equipment. This paper implements the function that can detect vessel's own motion using Smart Phone. if the motion is over the threshold value assigned, this function decides that the current situation is dangerous for this vessel. So this function informs Smart Phone's ower in the vessel and the control center of this situation. This function can be applied to small-size vessels, such as fishing boating, passenger ship, and leasure boat, which have few the safety equipments, and then improve vessel's safety navigation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.8
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• pp.1943-1950
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• 2015

Korean representative residence type is apartment house. Due to this, civil complaint related to living noise is rapidly increasing. Here, in case when they suffer from surrounding noise in daily life, they can raise civil complaint. However, in general home, it is difficult to measure noise utilizing expert equipment, in many cases they use smart phone app. Noise measurement app that was previously released has markedly low correctness, e.g. value is differently measured in the same condition, therefore, it is difficult to be used for the actual noise measurement. Therefore, this paper suggests mobile data process system for noise measurement of living environment utilizing smart phone. The expected effect of this research can be utilized as the civil complaint material by conveniently measuring the noise and presuming the direction that the noise appeared at the home that has no equipment.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.05a
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• pp.65-67
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• 2013

The recent high-performance network equipment is required, and also require high network bandwidth utilization. It is a trend to develop increasingly using multi-core processors for high-performance network servers. Propose a method to improve the performance of the network sub-system, considering the characteristics of multi-core as a way to improve these high-performance and high network throughput. In this paper, we confirm through experiments on how to improve the communication performance, optimize performance and take full advantage of multi-core by Network communication process to improve the performance of the multi-core processor architecture, the process of concentration, the overhead for each core, based on network traffic according to the interrupt affinity in this process to determine the optimal core to give. The experiments were implemented in the Linux kernel, and experiments to improve the network throughput up to 30%, bringing reduces the Linux communication process to improve the performance of the processor overhead of up to 10%.

• Smart Media Journal
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• v.9 no.4
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• pp.109-117
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• 2020

Recently, with the advent of the 4th industrial revolution, digital twins are emerging as an important technology that connects and integrates physical systems and cyber systems. In this article, we analyzed the major requirements of digital twins required for the construction of digital twins of power equipments in the energy field, focusing on the industry 4.0-based Asset Administration Shell(AAS). However, since not so many studies have been conducted yet on a common platform or demonstration model for implementing digital twins both domestically and internationally, digital twin requirements are analyzed with the consideration of digital twinning of power equipment in the energy field. Also, we suggested necessary procedures and specific functions of AAS to establish a smart energy digital twin in the future by analyzing the core requirements necessary for the construction and designing the AAS design for specific power equipment.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.1-9
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• 2024

The introduction of smart factory digital twins is a concept that has already been proposed to increase productivity in the manufacturing industry through CPS(Cyber Physics System), and has been applied to specific industrial process stages or partially introduced in stages where simulation is required. However, with the recent development of the 4th Industrial Revolution technology, it is receiving attention again along with XR (Extended Reality) technology. However, because there are not many effective cases, this study analyzed the devices, equipment, and technology of the manufacturing process to build a digital twin applying digital threads and synchronized signals and information to control, remote control, and produce intelligent process automation equipment. A platform capable of analyzing information was proposed and developed. Through this, we designed and built an XR content service platform that can support artificial intelligence and developed it to enable control, remote control, and analysis of production information. A possible platform was proposed and developed. We hope that this study will be helpful in conducting research on many cases, and in the future, expanded research on increasing productivity in each part of the process and production is needed through intelligent models.

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.808-817
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• 2016

Recently, the wearable computing technology with bio-sensors has been rapidly developed and utilized in various areas such as personal health, care-giving for senior citizens who live alone, and sports activities. In particular, the wearable computing equipment to measure vital signs by means of digital yarns and bio sensors is noticeable. The wearable computing devices help users monitor and manage their health in their daily lives through the customized healthcare service. In this paper, we suggest a system for monitoring and analyzing vital signs utilizing smart healthcare clothing with bio-sensors. Vital signs that can be continuously acquired from the clothing is well-known as unstructured data. The amount of data is huge, and they are perceived as the big data. Vital sings are stored by Hadoop Distributed File System(HDFS), and one can build data warehouse for analyzing them in HDFS. We provide health monitoring system based on vital sings that are acquired by biosensors in smart healthcare clothing. We implemented a big data platform which provides health monitoring service to visualize and monitor clinical information and physical activities performed by the users.