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Pseudo-DC Resistivity Survey for Site Investigation at Urban Areas with Ambient Electrical Noises (전기잡음 간섭이 있는 도심지 지역 탐사를 위한 유사직류 전기비저항 기법)

  • Joh, Sung-Ho;Kim, Bong-Chan
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.1C
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    • pp.37-44
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    • 2010
  • Recently, urban retrofit and extension, development of new buildings and facilities, and construction of underground structures like subway tunnels in urban areas give rise to significance of site investigation at urban areas. However, ambient electric noises, traffic vibrations, embedded objects work as obstacles to high-quality and accuracy in site investigation at urban areas. In this paper, a new technique called the pseudo-DC resistivity survey (in brief, PDC-R) was proposed to minimize the adverse effect of ambient electrical noises in resistivity survey. PDC-R technique utilizes an AC current with frequency range of 0.1 to 1.0 Hz rather than DC current, which is used for conventional resistivity survey. The motivation of using low-frequency AC current is to avoid 60-Hz components or its multiples in the resistivity survey which ambient noises are mostly composed of. The implementation of PDC-R technique also included the parametric study on skin effect, frequency effect and current-level effect, which led to the determination of optimal values of frequency and current level for PDC-R survey. The reliability and feasibility of PDC-R technique was verified through field tests, accompanied by the comparison with DC resistivity survey and CapSASW tests.

Medical Diagnosis Problem Solving Based on the Combination of Genetic Algorithms and Local Adaptive Operations (유전자 알고리즘 및 국소 적응 오퍼레이션 기반의 의료 진단 문제 자동화 기법 연구)

  • Lee, Ki-Kwang;Han, Chang-Hee
    • Journal of Intelligence and Information Systems
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    • v.14 no.2
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    • pp.193-206
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    • 2008
  • Medical diagnosis can be considered a classification task which classifies disease types from patient's condition data represented by a set of pre-defined attributes. This study proposes a hybrid genetic algorithm based classification method to develop classifiers for multidimensional pattern classification problems related with medical decision making. The classification problem can be solved by identifying separation boundaries which distinguish the various classes in the data pattern. The proposed method fits a finite number of regional agents to the data pattern by combining genetic algorithms and local adaptive operations. The local adaptive operations of an agent include expansion, avoidance and relocation, one of which is performed according to the agent's fitness value. The classifier system has been tested with well-known medical data sets from the UCI machine learning database, showing superior performance to other methods such as the nearest neighbor, decision tree, and neural networks.

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Stable Message Transmission Protocol Considering Remaining Energy of Nodes on Wireless Networks (무선네트워크에서 노드의 에너지를 고려한 종단간 안정성 있는 메시지 전송 프로토콜)

  • Duong, Mai Dinh;Kim, Myung-Kyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.5
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    • pp.1215-1223
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    • 2014
  • In multi-hop wireless networks, a message transmission path is set up on demand by a route discovery step, where a shortest path is used in general. The shortest path, however, normally uses the nodes near the center area, which causes a high traffic load in that area and reduces the message transmission reliability. We propose a stable routing protocol considering the remaining energy of nodes. Our protocol uses ETX as a link performance estimator and tries to avoid the nodes with smaller energy. By doing this, we can reduce the route failure probability and packet loss. We have evaluated the performance of the proposed protocol using QualNet and compared with AODV and MRFR protocols. The simulation result shows that our protocol has a similar performance as MRFR in terms of end-to-end message reception ratio, average message delay and delay jitter, but outperforms MRFR in terms of traffic load distribution.

Reflection Noise Rejection of Ultrasonic Sensor using Scheduling Firing Method (계획송신방법에 의한 초음파 반사노이즈 제거)

  • Jin, Tae-Seok
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.1
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    • pp.41-47
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    • 2012
  • In this paper, we proposed a new method which analyzes and eliminates errors occurring by multi-reflection of ultrasonic firing in mobile robot application. This new method allows ultrasonic sensors to fire at rates that are three times faster than those customary in conventional applications readings due to ultrasonic noise disturbance. It is possible them to collect and predict sensor data much faster than conventional methods. Furthermore, this method's capability allows mobile robot to navigate in a complex and unknown environment and to collaborate in the same environment with multiple mobile robot, even if their ultrasonic sensors operate. And it's usefulness to avoid moving obstacles by capability of rapid collecting data. Finally, we present experimental results that demonstrate the performances of the new proposed method by experiments in a multi-reflective environment.

Plant Community Structure of Daetjae(hill)~Baekbongryung(ridge), the Baekdudaegan Mountains (백두대간 댓재에서 백봉령구간 마루금의 식물군집구조 특성)

  • Lee, Soo-Dong;Hong, Suk-Hwan;Kim, Ji-Suk
    • Korean Journal of Environment and Ecology
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    • v.26 no.5
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    • pp.719-729
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    • 2012
  • Baekdudan has 670km long within South Korea, so the study for detail vegetation characteristics is needed. In this study, we surveyed the plant community structure from Daetjae to Baekbongryung for the next restoration and management plan. We designated 40 quadrats ($10m{\times}10m(100m^2)$ for this study. As a result of TWINSPAN, plant community separated 8 different communities such as Abies koreana comm., Pinus densiflora comm., Quercus mongolica comm. and Larix kaempferi comm. etc. Abies koreana comm. and Pinus densiflora comm. which is mainly located in the mountain ridge and near rocks are needed avoidance from the competition with Quercus mongolica comm. The possibility of atrophy of these communities is to be high, the protection is needed. Species diversity index was between 0.8046~1.1283. Most communities have multi-layer structure and have the ecological value of protection.

A Simulation of 3-D Navigation System of the Helicopter based on TRN Using Matlab

  • Kim, Eui-Hong;Lee, Hong-Ro
    • Spatial Information Research
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    • v.15 no.4
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    • pp.363-370
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    • 2007
  • This study has been carried for the development of the basic algorithm of helicopter navigation system based on TRN (Terrain Referenced Navigation) with information input from the GPS. The helicopter determines flight path due to Origination-Destination analysis on the Cartesian coordinate system of 3-D DTM. This system shows 3-D mesh map and the O-D flight path profile for the pilot's acknowledgement of the terrain, at first. The system builds TCF (terrain clearance floor) far the buffer zone upon the surface of ground relief to avid the ground collision. If the helicopter enters to the buffer zone during navigation, the real-time warning message which commands to raise the body pops up using Matlab menu. While departing or landing, control of the height of the body is possible. At present, the information (x, y, z coordinates) from the GPS is assumed to be input into the system every 92.8 m of horizontal distance while navigating along flight path. DTM of 3" interval has been adopted from that which was provided by ChumSungDae Co., Ltd..

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Analysis of Learner's Characteristics and Relationship between Learning Styles and Achievements in Online Programming Course (온라인 프로그래밍 학습에서 학습자 특성 및 학습양식과 성취도간의 관계 분석)

  • Kim, Ji Seon;Kim, Yungsik
    • The Journal of Korean Association of Computer Education
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    • v.18 no.3
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    • pp.59-68
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    • 2015
  • The purpose of this study is to analyze the learner's characteristics, and relationship between learning styles and achievements in online programming learning environment. For the analysis, after performing the inspection of learning styles of Grasha-Reichmann for 104 middle and high school students, online programming learning were performed for 12 weeks. First, according to learner's variable, boy was higher than girls in dependent learning style. Middle school student higher than high school student in competitive and avoid learning styles. Independent and participant learning styles show a significant difference in achievement level. Analysis of the relationship between learning styles and achievements show that independent(r=.253, p<.01) and participant(r=.303, p<.01) have the positive correlations. As a result, independent and participant learning styles are confirmed to be related with achievements. In addition, we analyzed each learning style characteristics by writing survey of the impression of the learners by main learning styles, through which we could derive teaching and learning strategies for the online programming by learning styles.

Development of Comprehensive Evaluation Index for In-vehicle Warning Information Systems (혼합가중치기반 차내 경고정보시스템 통합평가지표 개발)

  • Joo, Shinhye;Oh, Cheol;Hong, Sungmin
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.13 no.6
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    • pp.10-24
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    • 2014
  • In-vehicle warning information systems(IWIS) is an effective countermeasure for preventing traffic crashes. It provides drivers with warnng messages about upcoming hazards to draw proper evasive maneuvering. This study developed a methodology for evaluating the effectiveness of IWIS based on an integrated index to identify driver's responsive behavior. The proposed index consists of characteristics of longitudinal and lateral behavior of vehicle maneuverings. Also, a method to assign mixed-weights in the context of multi-criteria decision making framework was adopted to develop the evaluation method. It is expected that the outcome of this study is useful in designing more effective in-vehicle warning information systems.

A Neighboring Area Search Algorithm for Terrain Following (Terrain Following을 위한 인접지역 탐색 알고리즘)

  • Kim, Jong-Hyuk;Choy, Yoon-Chul;Koh, Kyun
    • Journal of KIISE:Computer Systems and Theory
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    • v.28 no.10
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    • pp.499-506
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    • 2001
  • Terrain Following means that a mobile object, such a user's avatar, must follow terrain, remaining in contact with the ground at all times in virtual environments. This makes a virtual environment have the effects of gravity. Terrain Following is often done using collision detection: however this is inefficient, because general collision detection solves a problem that is inherently more complex than merely determining terrain contact points. Many virtual environments avoid the expense by utilizing a flat terrain with a constant altitude everywhere. This makes a terrain following trivial, but lacks realism. This paper provides as algorithm and a data structure for a terrain following using a neighboring area search as a way to search neighboring polygons. Because this algorithm uses a pre-processing step that stores the terrain polygons for calculating, it results in reducing overheads to workstations that is used to construct and maintain a virtual environment. Consequently, workstation can be used to apply not only a terrain following but also other things.

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Intelligent Hexapod robot for the support walking of the aged (고령자 보행 지원을 위한 지능형 6족 로봇)

  • Lee, Sang-Mu;Kim, Sang-Hoon
    • 한국HCI학회:학술대회논문집
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    • 2008.02a
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    • pp.534-539
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    • 2008
  • This paper is about intelligent hexapod robot for the support walking of the aged person. The robot using various sensors and small camera has various abilities of forward backward walking, turing left or right, control the speed of walking, avoiding the obstacles and detecting risky situation of fire or gas. To let the aged feel soft and safe walking, we used special servo motor and developed hexapod walking mechanism and effective algorithm.

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