• Korean Journal of Construction Engineering and Management
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• v.14 no.2
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• pp.78-86
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• 2013

The researches for reduce $CO_2$ are going along animatedly in hole industry area. In construction area, the researches to minimize $CO_2$ emission are progressing variously. The researches to minimize $CO_2$ emission based on $CO_2$ emission. The method measuring $CO_2$ emission are using $CO_2$ emission coefficient on fuel consumption, LCA and an inter-industry relation table. Especially, the methods using the carbon emission coefficient based on fuel consumption are 3 types(Tier1~Tier3) of IPCC. Present, the most using method(Tier1) is using the fuel consumption and the carbon emission coefficient. But because this method do not effect each vehicle distance and driving environment, we can't calculate right $CO_2$ emission. Especially construction project's $CO_2$ emission could be different by project's characteristic. However, we can't apply these difference with present methods. So we need methodology calculating $CO_2$ emission by applying personal project's characteristic and these methodology's most important things is directly measuring $CO_2$ emission of construction equipment which use energy. The object of this study is to develop the $CO_2$ emission calculation methodology which occur in construction process, is to suggest ways to measure in real time $CO_2$ emission from construction equipment.

• Journal of Korea Entertainment Industry Association
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• v.13 no.7
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• pp.321-346
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• 2019

The cycle of human life has a limited time to death. Everyone cannot help but think how to live in the limited time and then they try to reach toward their happiness. Their pursuit for the happiness gives rise to the new trend called 'Well-bing'. Generally speaking, it means to eat well, to feel their own satisfaction with their lives and to spend a time on doing what they want to do. However, considering their current lives which are tough and harsh, it could be impossible for them to accomplish the well-being stated above. From this point, it is natural to think what real well-being means. Its real meaning would be understood by identifying its cause if well-being is the way to happiness. Based on the thesis stated above, let me look into the desire of human being. It has both side; it should be eliminated or overcome as a deficiency and disability in human life while it could be an driving force to let the human being keep their lives. They can find the real meaning of well-being and their happiness can be realized through the control of their desires. Above all, according to the control for them, they can accomplish their happiness or fail to do it. The trend of well-being can be kept in our culture when moral value is reflected to the well-being. Finally, it orients to the purpose of happiness. It also means that everyone shares moral and positive value one another in the process of challenge to achieve their goals. In order to realize it, they should be satisfied with their current situation and have a balance with everything related to themselves.

• The Journal of Korea Robotics Society
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• v.3 no.4
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• pp.270-277
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• 2008

The development of a face robot basically targets very natural human-robot interaction (HRI), especially emotional interaction. So does a face robot introduced in this paper, named Buddy. Since Buddy was developed for a mobile service robot, it doesn't have a living-being like face such as human's or animal's, but a typically robot-like face with hard skin, which maybe suitable for mass production. Besides, its structure and mechanism should be simple and its production cost also should be low enough. This paper introduces the mechanisms and functions of mobile face robot named Buddy which can take on natural and precise facial expressions and make dynamic gestures driven by one laptop PC. Buddy also can perform lip-sync, eye-contact, face-tracking for lifelike interaction. By adopting a customized emotional reaction decision model, Buddy can create own personality, emotion and motive using various sensor data input. Based on this model, Buddy can interact probably with users and perform real-time learning using personality factors. The interaction performance of Buddy is successfully demonstrated by experiments and simulations.

• Proceedings of the KSR Conference
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• 2011.05a
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• pp.1618-1628
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• 2011

The Train Diagnostic and Control System(TDCS) has been equipped on the modern Metro Vehicle, Locomotive and High Speed Train. The main purpose of this system is to support the identification of train status by real-time, the fast action against such failure events during revenue service and the fast convenient maintenance processes. Some of newest TCMS, a kind of control and monitoring system, has participated in the main control functions such as pantograph up and down, powering and braking command and so on. But these kind of control functions of the high speed train which has the operating speed over 300km/h are conducted by the train electrical logic circuits. The KTX-I and KTX-II - the local high speed train, are the typical example. The next generation TDCS for the ongoing project of distributed high speed train(HEMU) is designing with the target to increase main train control functions, to increase the reliability/avalibility and to increase the convenient driving. This paper introduces the overall configurations and functions of the new generation TDCS.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2003.10a
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• pp.133-137
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• 2003

The shock absorber for vehicles is the important component to absorb the shock in driving. These essential components, piton and piston rod, must be made of S25C, S45C and SCM440 generally depending on kind of vehicles, precisely machined and assembled by the bolt. And it has been difficult to weld this sort of dissimilar materials. They could be unstable in the quality by the conventional arc welding. And also they have a lot of technical problems in manufacturing. But by the friction welding technique, it will be able to be made without such problems. These factors above necessitate nowadays the domestic development of the shock absorber by friction welding and a new approach of study on real-time quality evaluation by AE techniques.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.4
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• pp.483-490
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• 2015

In this paper, The UBI(: Usage Based Insurance) insurance products for existing and analyze a variety of data pertaining to the operation or disposition or utilization of advanced telematics devices, such as digital recording device operates as a means to identify the insured or the insurer operates in real time recording (monitoring). Therefore, this study performs a city in wireless communication infrastructure functions Traffic Information System : leverage(UTIS : Urban Traffic Information System) and to develop a system that linked insurance products, such as PAYD, PHYD and MHYD. Utilizing the UTIS systems and analyze the driver's vehicle driving recorder tendencies.

• Journal of Korea Multimedia Society
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• v.19 no.11
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• pp.1852-1861
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• 2016

Drowsy driving is a significant factor in traffic accidents, so driver drowsiness detection system based on computer vision for convenience and safety has been actively studied. However, it is difficult to accurately detect the driver drowsiness in complex background and environmental change. In this paper, it proposed the driver drowsiness detection algorithm to determine whether the driver is drowsy through the measurement standard of a yawn, eyes drowsy status, and nod based on facial features. The proposed algorithm detect the driver drowsiness in the complex background, and it is robust to changes in the environment. The algorithm can be applied in real time because of the processing speed faster. Throughout the experiment, we confirmed that the algorithm reliably detected driver drowsiness. The processing speed of the proposed algorithm is about 0.084ms. Also, the proposed algorithm can achieve an average detection rate of 98.48% and 97.37% for a yawn, drowsy eyes, and nod in the daytime and nighttime.

• Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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• 2004.11a
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• pp.365-370
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• 2004

The integration of intelligent devices, devices-level networks, and software into motor control systems can deliver improved diagnostics, fast warnings for increased system reliability, design flexibility, and simplified wiring. Remote access to motor-control information also affords an opportunity for reduced exposure to hazardous voltage and improved personnel safety during startup and trouble-shooting. This paper presents LonWorks fieldbus networked intelligent induction control system architecture. Experimental bed system with two inverter motor driving system for controlling 1.5kW induction motor is configured for LonWorks networked intelligent motor control. In recent years, MCCs have evolved to include component technologies, such as variable-speed drives, solid-state starters, and electronic overload relays. Integration was accomplished through hardwiring to a programmable logic controller (PLC) or distributed control system (DCS). Devicelevel communication networks brought new possibilities for advanced monitoring, control and diagnostics. This LonWorks network offered the opportunity for greatly simplified wiring, eliminating the bundles of control interwiring and corresponding complex interwiring diagrams. An intelligent MCC connected in device level control network proves users with significant new information for preventing or minimizing downtime. This information includes warnings of abnormal operation, identification of trip causes, automated logging of events, and electronic documentation. In order to show the application of the multi-motors control system, the prototype control system is implemented. This paper is the first step to drive multi-motors with serial communication which can satisfy the real time operation using LonWorks network.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.6
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• pp.1125-1132
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• 2012

The researches on driver assistance systems that can prevent an accident have been actively performed due to social issues of traffic accidents with development of vehicle industry in recent. It is required for researchers to develope systems which assist driver's perception and judgment when considering that over 70% of traffic accidents occur by drivers' carelessness and 75% of the total accidents occur at the speed of less 29km per hour. In this paper, we implemented a front and rear vehicle monitoring system that monitors distance from a vehicle to obstacles in real-time at the low-speed or back-ward driving. The proposed system consists of ultrasonic sensors of high angle and wide angle of beam spread, ATmega128, and DSP processor.

• Journal of Multimedia Information System
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• v.4 no.1
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• pp.9-18
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• 2017

Ubiquitous computing is a novel paradigm that is rapidly gaining in the scenario of wireless communications and telecommunications for realizing smart world. As rapid development of sensor technology, smart sensor system becomes more popular in automobile or vehicle. In this study, a new vehicle detection mechanism in real-time for blind spot area is proposed based on imaging sensors. To determine the position of other vehicles on the road is important for operation of driver assistance systems (DASs) to increase driving safety. As the result, blind spot detection of vehicles is addressed using an automobile detection algorithm for blind spots. The proposed vehicle verification utilizes the height and angle of a rear-looking vehicle mounted camera. Candidate vehicle information is extracted using adaptive shadow detection based on brightness values of an image of a vehicle area. The vehicle is verified using a training set with Haar-like features of candidate vehicles. Using these processes, moving vehicles can be detected in blind spots. The detection ratio of true vehicles was 91.1% in blind spots based on various experimental results.