• Title/Summary/Keyword: Similarity evaluation

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Vegetation Characteristics in Ecological Forest Site on the Mt. Jangsan (장산 생태숲 조성부지의 식생특성)

  • Kim, Seok-Kyu;Nam, Jung-Chil;Park, Seung-Burm
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.15 no.6
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    • pp.1-16
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    • 2012
  • The research has analysed the targeted land situation, the composition of species, legally controlled plants, vegetation distribution, dominance, species diversity, and the similarity to evaluate the plant characterization of the eco forest in Jangsan, Busan. The results of the research is as following. The number of the plants that belongs to the area is 63 families, 126 genuses, and 163 species. Among them the fern plants : 4 families, 5 genuses, 5 species, and the egg species : 5 families, 8 species, 10 species, and angiospermae : 54 families, 113 genuses, 148 species have been checked. Monocotyledoneae of angiospermae : 7 families, 20 genuses, 22 species (13.5%) and dicotyledoneae : 47 families, 93 genuses, 126 species (77.3%) have been totally checked. The endangered wildlife species by the standard of the Ministry of Environment and the rare plants by the standard of IUCN evaluation realesed by the Bureau of Forest and National Plant Institution has never been checked but one species of Weigela subsessilis has been checked as an approving plant in being delivered abroad, the 8 imported plant by the standard of National Plant Institution checked, some disturbing ecosystem plants released by the Ministry of Environment (2009) not emerged. The succession into the oak trees is occurring to the biodiversity of the researched area, the number of species and their species diversity.

A Study on the Behavior of Reinforced Earth Retaining Walls by Shaking Table Test (진동대 실험을 이용한 보강토 옹벽의 거동특성 연구)

  • Yoon, Won-Sub;Chae, Young-Su;Shim, Jae-Sang
    • Journal of the Korean Geosynthetics Society
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    • v.10 no.4
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    • pp.49-59
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    • 2011
  • In order to understand evaluation of the seismic stability of a reinforced earth retaining, we made chambers of 1:10 (the ratio of the miniature), considering the law of similarity based on drawings of representative cross sections. And we measured an increase in acceleration, earth pressure, and displacement after applying Hachinohe wave (long period), Ofunato wave (short period), and artificial wave, complying with the domestic standards, in order to evaluate the external stability of the reinforced earth retaining wall during earthquake based on the measurements. As a result, the unreinforced earth retaining wall collapsed at 2 g of seismic acceleration. But the reinforced earth retaining wall was evaluated to ensure proper stability as well, with respect to the earth pressure gauge, the increments of earth pressure tend to be raised significantly in the upper than the lower and showed a similar characteristic of behavior in previous theory.

User Reputation Evaluation Using Co-occurrence Feature and Collective Intelligence (동시출현 자질과 집단 지성을 이용한 지식검색 문서 사용자 명성 평가)

  • Lee, Hyun-Woo;Han, Yo-Sub;Kim, Lae-Hyun;Cha, Jeong-Won
    • Korean Journal of Cognitive Science
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    • v.19 no.4
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    • pp.459-476
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    • 2008
  • The user needs to find the answer to your question is growing fast at the service using collective intelligent knowledge. In the previous researches, it was proven that the non-text information like view counting, referrer number, and number of answer is good in evaluating answers. There were also many works about evaluating answers using the various kinds of word dictionaries. In this work, we propose new method to evaluate answers to question effectively using user reputation that estimated by the social activity. We use a modified PageRank algorithm for estimating user reputation. We also use the similarity between question and answer. From the result of experiment in the Naver GisikiN corpus, we can see that the proposed method gives meaningful performance to complement the answer selection rate.

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Clinical Characteristics of Peroneal Nerve Palsy by Posture

  • Yu, Jeong Keun;Yang, Jin Seo;Kang, Suk-Hyung;Cho, Yong-Jun
    • Journal of Korean Neurosurgical Society
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    • v.53 no.5
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    • pp.269-273
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    • 2013
  • Objective : Posture induced common peroneal nerve (CPN) palsy is usually produced during the prolonged squatting or habitual leg crossing while seated, especially in Asian culture and is manifested by the onset of foot drop. Because of its similarity to discogenic foot drop, patients may be diagnosed with a lumbar disc disorder, and in some patients, surgeons may perform unnecessary examinations and even spine surgery. The purpose of our study is to establish the clinical characteristics and diagnostic assessment of posture induced CPN palsy. Methods : From June 2008 to June 2012, a retrospective study was performed on 26 patients diagnosed with peroneal nerve palsy in neurophysiologic study among patients experiencing foot drop after maintaining a certain posture for a long time. Results : The inducing postures were squatting (14 patients), sitting cross-legged (6 patients), lying down (4 patients), walking and driving. The mean prolonged neural injury time was 124.2 minutes. The most common clinical presentation was foot drop and the most affected sensory area was dorsum of the foot with tingling sensation (14 patients), numbness (8 patients), and burning sensation (4 patients). The clinical improvement began after a mean 6 weeks, which is not related to neural injury times. Electrophysiology evaluation was performed after 2 weeks later and showed delayed CPN nerve conduction study (NCS) in 24 patients and deep peroneal nerve in 2 patients. Conclusion : We suggest that an awareness of these clinical characteristics and diagnostic assessment methods may help clinicians make a diagnosis of posture induced CPN palsy and preclude unnecessary studies or inappropriate treatment in foot drop patients.

An Automated Technique for Illegal Site Detection using the Sequence of HTML Tags (HTML 태그 순서를 이용한 불법 사이트 탐지 자동화 기술)

  • Lee, Kiryong;Lee, Heejo
    • Journal of KIISE
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    • v.43 no.10
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    • pp.1173-1178
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    • 2016
  • Since the introduction of BitTorrent protocol in 2001, everything can be downloaded through file sharing, including music, movies and software. As a result, the copyright holder suffers from illegal sharing of copyright content. In order to solve this problem, countries have enacted illegal share related law; and internet service providers block pirate sites. However, illegal sites such as pirate bay easily reopen the site by changing the domain name. Thus, we propose a technique to easily detect pirate sites that are reopened. This automated technique collects the domain names using the google search engine, and measures similarity using Longest Common Subsequence (LCS) algorithm by comparing the tag structure of the source web page and reopened web page. For evaluation, we colledted 2,383 domains from google search. Experimental results indicated detection of a total of 44 pirate sites for collected domains when applying LCS algorithm. In addition, this technique detected 23 pirate sites for 805 domains when applied to foreign pirate sites. This experiment facilitated easy detection of the reopened pirate sites using an automated detection system.

Application of Machine Learning Techniques for Resolving Korean Author Names (한글 저자명 중의성 해소를 위한 기계학습기법의 적용)

  • Kang, In-Su
    • Journal of the Korean Society for information Management
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    • v.25 no.3
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    • pp.27-39
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    • 2008
  • In bibliographic data, the use of personal names to indicate authors makes it difficult to specify a particular author since there are numerous authors whose personal names are the same. Resolving same-name author instances into different individuals is called author resolution, which consists of two steps: calculating author similarities and then clustering same-name author instances into different person groups. Author similarities are computed from similarities of author-related bibliographic features such as coauthors, titles of papers, publication information, using supervised or unsupervised methods. Supervised approaches employ machine learning techniques to automatically learn the author similarity function from author-resolved training samples. So far however, a few machine learning methods have been investigated for author resolution. This paper provides a comparative evaluation of a variety of recent high-performing machine learning techniques on author disambiguation, and compares several methods of processing author disambiguation features such as coauthors and titles of papers.

DESIGN AND PERFORMANCE EVALUATION OF A CABBAGE LOADER

  • Chang, Y.C.;Cho, S.I.;Yeo, Y.W.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11b
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    • pp.480-488
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    • 2000
  • Cabbage is the most important vegetables in korea. The cabbage production was based on arduous human labor. A comprehensive research for substituting the human work by machines has been performed at present. In general, cabbage is cultivated on hillside in korea. The harvested cabbage in a field and carrying it to a vehicle for transportation are very laborious work. Hand labor in cabbage transportation to the market damages the quality of cabbage and is also a cause to increase the cost of cabbage production. This study was to design and evaluate a prototype cabbage loader for deserving efficient and safe transportation of cabbage. The developed cabbage loader was a semi-tracked vehicle operated by a hydraulic system, allowing the safe transporting and the loading of cabbage in a steep field. The maximum loading capacity of the loader was 1.0 ton. By using safety devices attached to the loader, the static slopes were 34.0% and 37.4% for the left and the rear roll-over, respectively. The maximum field speed was about 6km/hr with two cabbage pallets of 750kg at a 25% inclined field. The field capacity was about 35 pallets/hr in case of picking up, carrying and unloading two cabbage pallets. The field efficiency of the loader was analyzed to be more than 8 times in comparison of the conventional human labor. The developed loader would be applied for loading and carrying the other vegetables due to the similarity of operations. The study suggested a standard approach to the design of field machines operated in a steep field.

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Development and Evaluation of D-Attention Unet Model Using 3D and Continuous Visual Context for Needle Detection in Continuous Ultrasound Images (연속 초음파영상에서의 바늘 검출을 위한 3D와 연속 영상문맥을 활용한 D-Attention Unet 모델 개발 및 평가)

  • Lee, So Hee;Kim, Jong Un;Lee, Su Yeol;Ryu, Jeong Won;Choi, Dong Hyuk;Tae, Ki Sik
    • Journal of Biomedical Engineering Research
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    • v.41 no.5
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    • pp.195-202
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    • 2020
  • Needle detection in ultrasound images is sometimes difficult due to obstruction of fat tissues. Accurate needle detection using continuous ultrasound (CUS) images is a vital stage of treatment planning for tissue biopsy and brachytherapy. The main goal of the study is classified into two categories. First, new detection model, i.e. D-Attention Unet, is developed by combining the context information of 3D medical data and CUS images. Second, the D-Attention Unet model was compared with other models to verify its usefulness for needle detection in continuous ultrasound images. The continuous needle images taken with ultrasonic waves were converted into still images for dataset to evaluate the performance of the D-Attention Unet. The dataset was used for training and testing. Based on the results, the proposed D-Attention Unet model showed the better performance than other 3 models (Unet, D-Unet and Attention Unet), with Dice Similarity Coefficient (DSC), Recall and Precision at 71.9%, 70.6% and 73.7%, respectively. In conclusion, the D-Attention Unet model provides accurate needle detection for US-guided biopsy or brachytherapy, facilitating the clinical workflow. Especially, this kind of research is enthusiastically being performed on how to add image processing techniques to learning techniques. Thus, the proposed method is applied in this manner, it will be more effective technique than before.

Comparative Study on the Configuration Factors and Measurement Method of Yangsaeng Gigong and Psychological Skills Training (양생기공과 심리기술훈련의 구성요인과 측정평가방법의 비교 연구)

  • Jung, Mi-Young;Han, Chang-Hyun;Park, Soo-Jin;Lee, Sang-Nam;Kwon, Young-Kyu
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.22 no.5
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    • pp.1047-1056
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    • 2008
  • If we can evaluate the training results more appropriately and analyze the psychological changes in more objectively, the training can be more efficient and it can help to solve the problems during the training. This research analyzed the similarity and differences of Yangseng Qigong and psychological skill training's components and measurement methods. Also, the research further studied psychological skill training's measurement method. Results : The measurement type of Yangseng Qigong are Sagong, a record of Sagong, Damgong, IIgi, and Sogyeol. Similarly, the measurement type of psychological skills training are questionnaire, interview, personal profile, and observation of a single subject. Despite the similarities between the measurement type of Yangsaeng Qigong and psychological skills training, unfortunately there are differences in the contents. Thus, If we introduce strengths of each method to the other, we may have better measurement methods. The questionnaire method of psychological skills training is the most commonly used method, because it gives concrete, objective, reliable and highly reproducible results. If we refer to the questionnaire development process in psychological skills training, we can have objective and concrete measurement tool for Yangsaeng Qigong training. In the psychological skills training measurement tool development process, there are 5 stages; test conception, test preparation, test execution, question analysis, and test modification. Furthermore, the requirements for the good survey are reliability, validity, practicality, and cultural appropriateness. Through this study, we reached the conclusion that we need to combine two methods together to develop a better method because Yangsaeng Qigong places importance on comprehensive method and realization while psychological skills training places importance on analytical method and objective evaluation. And It seems that a practical study is needed to resolve the concerete problems of Yansaeng Qigong through these concrete cases.

Evaluation of Genetic Diversity among Soybean Genotypes Using SSR and SNP

  • Lee, Suk-Ha;P. Tanya;O, Srinives;T. Toojinda;A. Vanavichit;Ha, Bo-Keun;Bae, Jeong-Suk;Moon, Jung-Kyung
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.46 no.4
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    • pp.334-340
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    • 2001
  • Two different types of molecular markers, simple sequence repeat (SSR) and single nucleotide polymorphism (SNP), were used to measure genetic diversity among five Korean, eight Thai, and three wild soybeans. For SSR analysis, a total of 20 markers were surveyed to detect polymorphisms. For SNP analysis, four primers were designed from consensus sequence regions on disease resistance protein homolog genes, and used to amplify the genomic region. The PCR products were sequenced. A number of polymorphic SSR and SNP bands were scored on all genotypes and their genetic similarity was measured. Clustering analysis was performed independently on both types of markers. Clustering based on SSR markers separated the genotypes into three main groups originated from Korea, Thailand, and wild soybeans. On the other hand, two main groups were classified using SNP analysis. It seemed that SSR was more informative than SNP in this study. This may be due to the fact that SNP was surveyed on the smaller genomic region than SSR. Grouping based on the combined data of both markers revealed similar results to that of SNP rather than that of SSR. This might be due to the fact that more loci from SNP were considered to measure genetic relatedness than those from the SSR.

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