• Title/Summary/Keyword: Candidate Point

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Vehicle Detection Method Based on Object-Based Point Cloud Analysis Using Vertical Elevation Data (OBPCA 기반의 수직단면 이용 차량 추출 기법)

  • Jeon, Junbeom;Lee, Heezin;Oh, Sangyoon;Lee, Minsu
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.8
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    • pp.369-376
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    • 2016
  • Among various vehicle extraction techniques, OBPCA (Object-Based Point Cloud Analysis) calculates features quickly by coarse-grained rectangles from top-view of the vehicle candidates. However, it uses only a top-view rectangle to detect a vehicle. Thus, it is hard to extract rectangular objects with similar size. For this reason, accuracy issue has raised on the OBPCA method which influences on DEM generation and traffic monitoring tasks. In this paper, we propose a novel method which uses the most distinguishing vertical elevations to calculate additional features. Our proposed method uses same features with top-view, determines new thresholds, and decides whether the candidate is vehicle or not. We compared the accuracy and execution time between original OBPCA and the proposed one. The experiment result shows that our method produces 6.61% increase of precision and 13.96% decrease of false positive rate despite with marginal increase of execution time. We can see that the proposed method can reduce misclassification.

The Generation of Typical Meteorological Year for Research of the Solar Energy on the Korean Peninsula (한반도 태양에너지 연구를 위한 일사량 자료의 TMY 구축)

  • Jee, Joon-Bum;Lee, Seung-Woo;Choi, Young-Jean;Lee, Kyu-Tae
    • New & Renewable Energy
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    • v.8 no.2
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    • pp.14-23
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    • 2012
  • The TMY (Typical Meteorological Year) for the solar energy study is generated using observation data with 22 solar sites from KMA (Korea Meteorological Administration) during 11 years (2000-2010). The meteorological data for calculation the TMY are used solar radiation, temperature, dew point temperature, wind speed and humidity data. And the TMY is calculated to apply the FS (Finkelstein and Schafer) statistics and RMSE (Root Mean Squared Error) methods. FS statistics performed with each point and each variable and then selected top five candidate TMM months with statistical analysis and normalization. Finally TMY is generated to select the highest TMM score with evaluation the average errors for the 22 whole points. The TMY data is represented average state and long time variations with 22 sites and meteorological data. When TMY validated with the 11-year daily solar radiation data, the correlation coefficient was about 0.40 and the highest value is 0.57 in April and the lowest value is 0.23 in May. Mean monthly solar radiation of TMY is 411.72 MJ which is 4 MJ higher than original data. Average correlation coefficient is 0.71, the lowest correlation is 0.43 in May and the highest correlation is 0.90 in January. Accumulated annual solar radiation by TMY have higher value in south coast and southwestern region and have relatively low in middle regions. And also, differences between TMY and 11-year mean of is distributed lower 100 MJ in Kyeongbuk, higher 200 MJ in Jeju and higher 125 MJ in Jeonbuk and Jeonnam, respectively.

Face Detection Using Skin Color and Geometrical Constraints of Facial Features (살색과 얼굴 특징들의 기하학적 제한을 이용한 얼굴 위치 찾기)

  • Cho, Kyung-Min;Hong, Ki-Sang
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.12
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    • pp.107-119
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    • 1999
  • There is no authentic solution in a face detection problem though it is an important part of pattern recognition and has many diverse application fields. The reason is that there are many unpredictable deformations due to facial expressions, view point, rotation, scale, gender, age, etc. To overcome these problems, we propose an algorithm based on feature-based method, which is well known to be robust to these deformations. We detect a face by calculating a similarity between the formation of real face feature and candidate feature formation which consists of eyebrow, eye, nose, and mouth. In this paper, we use a steerable filter instead of general derivative edge detector in order to get more accurate feature components. We applied deformable template to verify the detected face, which overcome the weak point of feature-based method. Considering the low detection rate because of face detection method using whole input images, we design an adaptive skin-color filter which can be applicable to a diverse skin color, minimizing target area and processing time.

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Motion Estimation by Classification of Block Types (블록 유형 분류에 의한 움직임 추정)

  • Yoon Hyo-Sun;Yoo Jae-Myeong;Park Mi-Seon;Kim Mi-Young;Toan Nguyen Dinh;Lee Guee-Sang
    • The KIPS Transactions:PartB
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    • v.13B no.6 s.109
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    • pp.585-590
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    • 2006
  • Although motion estimation Plays an important role in digital video compression, complex search procedure is required to find an optimal motion vector. To reduce the search time, the search start point should be set up properly md efficient search pattern is needed. If the overall motion of the torrent block can be predicted, motion estimation can be performed efficiently. In this paper. block types are classified using candidate vectors and the motion activity of the block is predicted which leads to the search start point close to the optimal motion vector. The proposed method proves to be about 1.5$\sim$7 times faster than existing methods with about 0.02$\sim$0.2(dB) improvement of picture quality in images with large movements.

Efficient Sequence Pattern Mining Technique for the Removal of Ambiguity in the Interval Patterns Mining (인터벌 패턴 마이닝에서 모호성 제거를 위한 효율적인 순차 패턴 마이닝 기법)

  • Kim, Hwan;Choi, Pilsun;Kim, Daein;Hwang, Buhyun
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.8
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    • pp.565-570
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    • 2013
  • Previous researches on mining sequential patterns mainly focused on discovering patterns from the point-based event. Interval events with a time interval occur in the real world that have the start and end point. Existing interval pattern mining methods that discover relationships among interval events based on the Allen operators have some problems. These are that interval patterns having three or more interval events can be interpreted as several meanings. In this paper, we propose the I_TPrefixSpan algorithm, which is an efficient sequence pattern mining technique for removing ambiguity in the Interval Patterns Mining. The proposed algorithm generates event sequences that have no ambiguity. Therefore, the size of generated candidate set can be minimized by searching sequential pattern mining entries that exist only in the event sequence. The performance evaluation shows that the proposed method is more efficient than existing methods.

QoS-Oriented Handoff Algorithm in IEEE 802.11 Wireless LAN (IEEE 802.11 무선랜에서 서비스 질(QoS) 지향적인 핸드오프 알고리즘에 관한 연구)

  • Choi Haeng-Keol;Kim Il-Hwan;Seo Seung-Woo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.6B
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    • pp.338-348
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    • 2005
  • Currently, IEEE 802.11 Wireless LAN (WLAN) is rising as the most popular means for the broadband wireless access network. In this thesis, we propose a QoS(Quality of Service)-Oriented mechanism using handshaking method of scanning phase in IEEE 802.11 handoff. In conventional process for handoff, the major criterion to select the best AP(Access Point) among candidates is normally based on the RSS(Received Signal Strength), which does not always make the selected network guarantee the maximum achievable performance. Even though the link quality with a neighboring AP is excellent, the AP may not be a good candidate to handoff to simply because MAC(Medium Access Control) protocol of IEEE 802.11 standard is contention-based such as CSMA/CA. Therefore, if we apply network level information to AP selection criteria, we can achieve better handoff efficiency rather than before. The analysis and simulation results applied to our new mechanism show clearly better performance than AP selection based on traditional handoff method.

Development of Poloxamer-Based Solid Suppository Containing Diclofenac Sodium (폴록사머를 이용한 디클로페낙 고형 좌제의 개발)

  • Yong, Chul-Soon;Oh, Yu-Kyoung;Kim, Jung-Ae;Kim, Yong-Il;Park, Sang-Man;Yang, Joon-Ho;Rhee, Jong-Dal;Choi, Han-Gon
    • Journal of Pharmaceutical Investigation
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    • v.34 no.2
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    • pp.91-94
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    • 2004
  • To develop a poloxamer-based solid suppository with poloxamer mixtures, the melting points of various formulations composed of P 124 and P 188 were investigated. To investigate the effect of poloxamer to the dissolution ad dissolution mechanism of diclofenac sodium from the suppository the dissolution of diclofenac sodium delivered by the poloxamer-based suppository was performed. Furthermore, to investigate the mucoadhesive property of the poloxamer-based sold suppository, the identification test in the rectum was carried out after its rectal administration in rats. The poloxamer mixtures composed of P 124 and P 188 were homogeneous. Ver small amounts of P 188 affected the melting points of poloxamer mixtures. In particular, the poloxamer mixture [P 124/P 188 (97/3%)] with the melting point of about $32^{\circ}C$ was a sold for at room temperature and instantly melted at physiological temperature. Furthermore, very small amounts of P 188 in the poloxamer-based suppository hardly affected the dissolution rates of diclofenac sodium from the suppository. Dissolution mechanism analysis showed the dissolution of diclofenac sodium was proportional to the time. At 4 h after administration, the blue colo of poloxamer-based suppository [diclofenac sodium/poloxamer mixture (2.5/97.5%)] with the P 124/ P 188 ratio of (97/3%) and blue lake in the rectum was faded. However, the position of suppository in the rectum did not significantly change with time. Thus, it retained in thε rectum for at least 4 h. Our results indicated that the poloxamer-based sold suppository with P 124 and P 188 would be a candidate of rectal dosage form for diclofenac sodium.

Cost Effective Mobility Anchor Point Selection Scheme for F-HMIPv6 Networks (F-HMIPv6 환경에서의 비용 효율적인 MAP 선택 기법)

  • Roh Myoung-Hwa;Jeong Choong-Kyo
    • KSCI Review
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    • v.14 no.1
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    • pp.265-271
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    • 2006
  • In this paper, we propose a new automatic fingerprint identification system that identifies individuals in large databases. The algorithm consists of three steps: preprocessing, classification, and matching, in the classification, we present a new classification technique based on the statistical approach for directional image distribution. In matching, we also describe improved minutiae candidate pair extraction algorithm that is faster and more accurate than existing algorithm. In matching stage, we extract fingerprint minutiaes from its thinned image for accuracy, and introduce matching process using minutiae linking information. Introduction of linking information into the minutiae matching process is a simple but accurate way, which solves the problem of reference minutiae pair selection in comparison stage of two fingerprints quickly. This algorithm is invariant to translation and rotation of fingerprint. The proposed system was tested on 1000 fingerprint images from the semiconductor chip style scanner. Experimental results reveal false acceptance rate is decreased and genuine acceptance rate is increased than existing method.

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Automatic Generation of Aimpoints Using 3D Target Shapes and CEP (3차원 모델 형상과 원형공산오차를 고려한 목표점 자동 생성 기법)

  • Kang, Yuna
    • Journal of the Korea Society for Simulation
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    • v.28 no.2
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    • pp.71-79
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    • 2019
  • This research proposes an automatic generation system of aimpoints with considering 3D target shapes and CEP(circular error probability) values after determining a target and an azimuth value. In the past, users decided aimpoints manually based on experience or just chose a middle point of the 3D model. Futhermore, it was not possible to select a proper position with consideration of azimuth because users should decide aimpoints before the azimuth value was determined. To solve this problem, this research provides a automatic system to compute proper aimpoints with 3D target shapes, azimuth values and CEP. This article contains the explanation of 3 steps for generating aimpoints automatically: first, generating a reference plane and candidate entry points, then computing scores of each entry points and finally determining an aimpoint from the entry point with the highest score. Users can easily determine a final aimpoint with high probability of success using this system.

Development & Assessment of Alkyl Chain Modified Aptamers as Potential PET Radiotracers for Lymphoma Diagnosis

  • Ji Woong Lee;Un Chol Shin;Seok u Bae;Ji Yoon Kim;Hae joon Cho;Ji Ae Park;Kyo Chul Lee;Jung Young Kim;Suhng Wook Kim
    • Journal of Radiopharmaceuticals and Molecular Probes
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    • v.8 no.2
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    • pp.77-85
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    • 2022
  • The Td05 and Sgc8c, DNA-based aptamers, are well-known to target internalized surface markers (IGHM and PTK7) of Burkitt's lymphoma and acute lymphoblastic leukemia (ALL). Thus, Td05 and Sgc8c labeled with metallic radioisotope 64Cu can be evaluated as potential diagnostic PET imaging agents. In this study, we modified the carbon chain length of the last adenosine of aptamer (n = 3, 6, 12) to increase tumor cell uptake and select the best candidate among six types of aptamer analogues and one adenosine of aptamer. After labeling of 64Cu, [64Cu]Cu-DOTA-aptamer analogues were evaluated in vitro studies (serum stability, Log P values, cell uptake, biodistribution). Then, we evaluate in vivo PET imaging study for two candidates (64Cu-DOTA-C12-Sgc8c, 64Cu-DOTA-C6-Td05). PET images clearly visualize tumors at 24 h post-injection rather than at an early time point and the tumor-to-background ratio also increases at the delay time point. 64Cu-DOTA-C12-Sgc8c and 64Cu-DOTA-C6-Td05 could be used as potential radiotracers for lymphoma.