• Title/Summary/Keyword: Soft classification

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Classification of Waterfalls in Jeju Island Based on Properties of a Lava Flow (용암류 특성에 의한 제주도 폭포의 유형화)

  • Kim, Tae-Ho
    • Journal of the Korean association of regional geographers
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    • v.18 no.2
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    • pp.129-140
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    • 2012
  • In order to examine geomorphic characteristics such as form and retreat process of waterfalls in Jeju Island, 26 waterfalls were classified based upon materials forming a fall face. The waterfalls could be categorized into three types such as single unit, multiple units and basal soft-rock based upon the number and type of a lava flow. A block fall, composed of a pile of large blocks, could be added to the typology of waterfalls in Jeju Island. While the single unit fall is distributed in a region of trachyte or trachyandecite, the multiple units fall and basal soft-rock fall are largely developed in a region of basalt or trachybasalt. A retreat process of the single unit fall is an inclination or a replacement, but the basal soft-rock fall shows a parallel retreat. The multiple units fall exhibits three types of a retreat process according to the physical properties of a lava flow. The fall face is generally vertical due to well-developed vertical joints of a lava flow.

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Limited internal fixation for the treatment of the Ovadia and Beals type II or III Pilon fracture (Ovadia와 Beals 제2형 또는 3형 경골 천정 골절의 제한적 내고정술을 이용한 치료)

  • Kim, Hyoung-Chun;Kim, Kwang-Yul;Lim, Mun-Sup;Kim, Jin-Hyoung;Kwon, Joon-Hyoung
    • Journal of Korean Foot and Ankle Society
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    • v.7 no.2
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    • pp.250-257
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    • 2003
  • Purpose: Pilon fracture is caused by high energy and axial compression forces, and it is often associated with severe comminution and soft tissue injury. Recently, limited internal fixation of this fracture may avoid the soft tissue complications associated with formal open reduction and internal fixation and avoid incongruity of joint margin associated with conservative treatment. We have treated Ovadia and Beals type II or III pilon fracture with limited internal fixation and the results were satisfactory. Materials and Methods: We analyzed 15 cases of Ovadia and Beals type II or III fractures who were treated by limited internal fixation(K-wire or screw fixation) from January 1995 to December 2000. The average follow up period was 20 months(range, 12 to 38 months). According to the Ovadia and Beals classification, seven cases were type II, and eight cases were type III. Radiographic results were assessed by Ovadia and Beals criteria. We also assessed the functional results by Mast and Teipner criteria. Results: Radiographic results showed good in 67% and fair in 33% of cases. Clinical results showed good in 73% and fair in 27% of cases. There were no complications such as wound infection and skin necrosis, but traumatic arthritis were 2 cases. Conclusion: Pilon fractures are high energy injuries with significantly associated soft tissue damage and traumatic arthritis. Limited internal fixation offers good solution to Ovadia and Beals type II or III fracture.

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Convolutional Autoencoder based Stress Detection using Soft Voting (소프트 보팅을 이용한 합성곱 오토인코더 기반 스트레스 탐지)

  • Eun Bin Choi;Soo Hyung Kim
    • Smart Media Journal
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    • v.12 no.11
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    • pp.1-9
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    • 2023
  • Stress is a significant issue in modern society, often triggered by external or internal factors that are difficult to manage. When high stress persists over a long term, it can develop into a chronic condition, negatively impacting health and overall well-being. However, it is challenging for individuals experiencing chronic stress to recognize their condition, making early detection and management crucial. Using biosignals measured from wearable devices to detect stress could lead to more effective management. However, there are two main problems with using biosignals: first, manually extracting features from these signals can introduce bias, and second, the performance of classification models can vary greatly depending on the subject of the experiment. This paper proposes a model that reduces bias using convo utional autoencoders, which can represent the key features of data, and enhances generalizability by employing soft voting, a method of ensemble learning, to minimize performance variability. To verify the generalization performance of the model, we evaluate it using LOSO cross-validation method. The model proposed in this paper has demonstrated superior accuracy compared to previous studies using the WESAD dataset.

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ANALYTICAL APPLICATIONS OF NEW PORTABLE NEAR INFRARED (NIR) SPECTROMETER SYSTEM

  • Ahn, Jhii-Weon;Kang, Na-Roo;Lim, Hung-Rang;Lee, Jung-Hun;Woo, Young-Ah;Kim, Hyo-Jin
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1122-1122
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    • 2001
  • A compact and handhold near infrared (NIR) system using microspectrometer was developed. This system was suitable not only in the laboratory, but also in the field or in the process. This system was first applied for classification of geographical origin of herbal medicine such as ginseng and sesame. To identify the origin of ginseng on site, the portable NIR system is more suitable for real field application. For this study, using the compact NIR system, soft independent modeling of class analogies (SIMCA) with 1100-1750 nm NIR spectra was utilized for classification of geographical origin (Korea and China) of both ginseng and sesame. The accuracy of results is more than 90%. Quantitative analysis for petroleum such as toluene, benzene, tri-methyl benzene, and ethyl benzene was performed with partial least squares (PLS) regression with NIR 1100-1750 nm spectra. This study showed that the NIR method and gas chromatography (GC), which is a standard method, have good correlations. Furthermore, the ash content of Cornu Cervi Parvum was analyzed and the accuracy was confirmed by the developed compact NIR system.

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Background Prior-based Salient Object Detection via Adaptive Figure-Ground Classification

  • Zhou, Jingbo;Zhai, Jiyou;Ren, Yongfeng;Lu, Ali
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.3
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    • pp.1264-1286
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    • 2018
  • In this paper, a novel background prior-based salient object detection framework is proposed to deal with images those are more complicated. We take the superpixels located in four borders into consideration and exploit a mechanism based on image boundary information to remove the foreground noises, which are used to form the background prior. Afterward, an initial foreground prior is obtained by selecting superpixels that are the most dissimilar to the background prior. To determine the regions of foreground and background based on the prior of them, a threshold is needed in this process. According to a fixed threshold, the remaining superpixels are iteratively assigned based on their proximity to the foreground or background prior. As the threshold changes, different foreground priors generate multiple different partitions that are assigned a likelihood of being foreground. Last, all segments are combined into a saliency map based on the idea of similarity voting. Experiments on five benchmark databases demonstrate the proposed method performs well when it compares with the state-of-the-art methods in terms of accuracy and robustness.

Inter-Process Correlation Model based Hybrid Framework for Fault Diagnosis in Wireless Sensor Networks

  • Zafar, Amna;Akbar, Ali Hammad;Akram, Beenish Ayesha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.2
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    • pp.536-564
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    • 2019
  • Soft faults are inherent in wireless sensor networks (WSNs) due to external and internal errors. The failure of processes in a protocol stack are caused by errors on various layers. In this work, impact of errors and channel misbehavior on process execution is investigated to provide an error classification mechanism. Considering implementation of WSN protocol stack, inter-process correlations of stacked and peer layer processes are modeled. The proposed model is realized through local and global decision trees for fault diagnosis. A hybrid framework is proposed to implement local decision tree on sensor nodes and global decision tree on diagnostic cluster head. Local decision tree is employed to diagnose critical failures due to errors in stacked processes at node level. Global decision tree, diagnoses critical failures due to errors in peer layer processes at network level. The proposed model has been analyzed using fault tree analysis. The framework implementation has been done in Castalia. Simulation results validate the inter-process correlation model-based fault diagnosis. The hybrid framework distributes processing load on sensor nodes and diagnostic cluster head in a decentralized way, reducing communication overhead.

Hand Gesture Recognition using Multivariate Fuzzy Decision Tree and User Adaptation (다변량 퍼지 의사결정트리와 사용자 적응을 이용한 손동작 인식)

  • Jeon, Moon-Jin;Do, Jun-Hyeong;Lee, Sang-Wan;Park, Kwang-Hyun;Bien, Zeung-Nam
    • The Journal of Korea Robotics Society
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    • v.3 no.2
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    • pp.81-90
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    • 2008
  • While increasing demand of the service for the disabled and the elderly people, assistive technologies have been developed rapidly. The natural signal of human such as voice or gesture has been applied to the system for assisting the disabled and the elderly people. As an example of such kind of human robot interface, the Soft Remote Control System has been developed by HWRS-ERC in $KAIST^[1]$. This system is a vision-based hand gesture recognition system for controlling home appliances such as television, lamp and curtain. One of the most important technologies of the system is the hand gesture recognition algorithm. The frequently occurred problems which lower the recognition rate of hand gesture are inter-person variation and intra-person variation. Intra-person variation can be handled by inducing fuzzy concept. In this paper, we propose multivariate fuzzy decision tree(MFDT) learning and classification algorithm for hand motion recognition. To recognize hand gesture of a new user, the most proper recognition model among several well trained models is selected using model selection algorithm and incrementally adapted to the user's hand gesture. For the general performance of MFDT as a classifier, we show classification rate using the benchmark data of the UCI repository. For the performance of hand gesture recognition, we tested using hand gesture data which is collected from 10 people for 15 days. The experimental results show that the classification and user adaptation performance of proposed algorithm is better than general fuzzy decision tree.

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Landscape Assessment and Landscape Planning based on Landscapetope Classification (경관단위분류를 통한 경관가치평가 및 경관계획적 활용)

  • Kwon, Oh-Sung;Lee, Hyun-Taek;Ra, Jung-Hwa;Cho, Hyun-Ju
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.17 no.1
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    • pp.65-79
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    • 2014
  • This study selected Nakdong River basin zone in Daegu as an example area to conduct landscapetope classification and aesthetic value assessment of landscape according to the classified landscapetope. The main result of this research can be summed up as following. First, the result of landscapetope type classification showed 28 types of landscapetope including complex residential area (AA), natural stream type with copious vegetation (BA), forest type centered on mixed forest of soft and hardwood (EB) along with 129 types of imputed specific landscapetope. The result of the total first assessment using B-VAT showed the first grade 10 types, II grade 4 types, III grade6 types, IV grade 3 types, 5 types for V grade with the lowest value. The second assessment conducted toward the landscapetope types with the grade higher than the average (including III grade) in the result of the first assessment showed that there are 66 spaces for the sites (1a, 1b) with special meaning for aesthetic landscape evaluation. And also, there were 69 spaces for those (2a, 2b, 2c) with meaning for aesthetic landscape evaluation. The design model of this research is largely divided into improvement goal and specific execution plan. First, the improvement goal is divided into 6 categories including conservation area, complementary area, and restoration area, and the specific execution plan is divided into 14 categories including special landscape management area, general landscape management area, conservation of hill areas with optically good condition. A comprehensive master plan was suggested by directly applying the set landscape planning model to the subject place of this research.

Comprehensive understandings in the shape of retromolar pad and its classification based on clinical application (임상적인 적용에 기반한 후구치삼각융기 형태와 분류의 포괄적인 이해)

  • Park, Chan-Jin;Ko, Kyung-Ho;Huh, Yoon-Hyuk;Cho, Lee-Ra
    • Journal of Dental Rehabilitation and Applied Science
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    • v.35 no.2
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    • pp.64-71
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    • 2019
  • Retromolar pad is one of anatomical landmarks to use clinically for determining of specific occlusal plane level in edentulous patients and is inherently a soft tissue mass; located at the distal end of mandible and should be covered with denture. The shapes of retromolar pad show variability because it might be inevitable to be resultant forms from healing and remodeling process after the extraction of last molars. Considerations would be focused on those resultant shapes and classification with anatomical relationships and clinical significances.

A CLINICAL STUDY OF THE JUDGMENT OF SASANG CONSTITUTION ACCORDING TO QUESTIONNAIRE (설문지(設問紙)를 통한 사상체질(四象體質)의 임상적(臨床的) 분류방안(分類方案) 연구(硏究))

  • Kim, Young-woo;Kim, Jong-weon
    • Journal of Sasang Constitutional Medicine
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    • v.10 no.1
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    • pp.215-233
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    • 1998
  • The object of this study is 27 patients who had been treated in the Oriental Medical Hospital at Dong Eui Medical Center during 6 months from January 1998 to June 1998. We proceeded the judgment of Sasang Constitution by Questionaire of Sasang Constitution Classification II(QSCC II). The following conclusion were made in comparison with Questionaire of Sasang Constitution Classification II(QSCC II) and Questionaire of Pusan Sasang seminar. 1. The subject of "the facial type is small and sharp" is significant differences in Sasang Constitution classification. The frequency of Soeumin group is more than Taeumin group and Soyangin group. 2. The subject of "the walking form is fast and shake the body" is significant differences in Sasang Constitution classification. The frequency of Taeumin group and Soeumin group is less than Soyangin group. 3. The subject of "the skin type is white and thin" is significant differences in Sasang Constitution classification. The frequency of Soeumin group is more than Soyangin group, and the frequency of Taeumin group is low marks. 4. The subject of "the skin type is tender and dry" is significant differences in Sasang Constitution classification. The frequency of Taeumin group and Soyangin group is less than Soeumin group. 5. The subject of "the image of face is smart" is significant differences in Sasang Constitution classification. The frequency of Soeumin group is more than Taeumin group and the frequency of Soyangin group is low marks. 6. The subject of "the sweating type is not sweatier" is significant differences in Sasang Constitution classification. The frequency of Taeumin group and Soeumin group is less than Soyangin group. 7. The subject of "the desire of eating is changeable accoding to emotion" is significant differences in Sasang Constitution classification. The frequency of Soeumin group is more than Taeumin group and Soyangin group. 8. The subject of "the health is changeable accoding to the type of stool" is significant differences in Sasang Constitution classification. The frequency of Soeumin group is more than Soyangin group and the frequency of Taeumin group is low marks. 9. The subject of "the type of voiding is changeable accoding to the drinking when they have a fever" is significant differences in Sasang Constitution classification. The frequency of Taeumin group and Soyangin group is less than Soeumin group. 10. The subject of "the skin type is soft" is significant differences in Sasang Constitution classification. The frequency of Soeumin group is more than Taeumin group and Soyangin group. 11. The subject of "the chief complaint is the forgetfulness" is significant differences in Sasang Constitution classification. The frequency of Soeumin group is less than Taeumin group and Soyangin group.

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