• Title/Summary/Keyword: 단계별추출

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Ecological Renewal Plan of Urban Parks for the Revitalization of Urban Green Axis in Gangdong-Gu (강동구 도시 녹지축 기능 활성화를 위한 도시공원의 생태적 리뉴얼 방안 연구)

  • Park, Jeong-Ah;Han, Bong-Ho;Kwak, Jeong-In
    • Journal of the Korean Institute of Landscape Architecture
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    • v.51 no.2
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    • pp.12-27
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    • 2023
  • In this study, among the construction-type parks in Gangdong-gu, targeting parks with high environmental and ecological value located on the urban green axis, a plan was prepared for the ecological renewal of urban parks, and a design that applied to them was proposed. The renewal target site was selected by analyzing the general condition of Gangdong-gu and urban parks, the land use and green area ratio, park green area, and the green axis of Gangdong-gu. Gangdong-gu has 54 parks, including 2 neighborhood parks and 52 children's parks. In the first stage of the current status review, 17 parks were extracted through locational value analysis, such as location and adjacency to the natural axis and green axis. In the second stage, eight parks were selected among the first-stage extraction parks based on the ratio of green spaces and open spaces within each park service area. In the third stage, two of the second stage extraction parks were selected based on whether the legal standard of the park area was met, and in the fourth stage, one of the third stage extraction parks was selected through an aging survey of the park. As for the urban ecological status of the renewal target site, the status of land use in the aspect of entropy reduction, the status of soil cover in the aspect of water circulation, and the status of planting structure in the aspect of biodiversity were investigated. As for the status of the three renewal sites, the green area was insufficient at 18.3-45.3%, and the facility area was 54.7%-81.7%, which was judged to have low urban temperature reduction effects. The impervious pavement area accounted for 34.5% to 48.9% of the park area, accounting for most of the facility area, and it was judged that the water circulation function was insufficient. The planting structure consisted of a single layer and a double layer structure, and although the tree layer was good, the lower vegetation was poor, and there was no planting site of edible plants or large hardwood trees, so the biodiversity was low. After the ecological renewal design of Seonrin Children's Park, Dangmal Children's Park, and Saemmul Children's Park, which were selected as the renewal targets in this study, the ecological area ratio of each park increased by 1.4 to 3 times than before the renewal. If the urban parks located on the urban green axis are examined from the perspective of the urban ecosystem and renewed ecologically, it is judged that the expected effect will be high in reducing entropy, improving water circulation, and laying the foundation for biodiversity in terms of the urban ecosystem.

Case Study of Software Reverse Engineering using McCabe and BP/Win Tools (McCabe 및 BP/Win도구를 이용한 소프트웨어 역공학 사례연구)

  • Jo, Hyeon-Hun;Choe, Yong-Rak;Rhew, Sung-Yul
    • Journal of KIISE:Computing Practices and Letters
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    • v.6 no.5
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    • pp.528-535
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    • 2000
  • This paper aims at providing guidelines enabling productive software construction by offering reusable modules which is used not only for effective maintenance for each step, but also for a re-engineering process after analyzing developed source code. There are four processing steps. The first is to analyze source code. The second is module slicing and clustering using McCabe and BP/Win Tools, The third is to transform the outputs extracted from the business model to reusable modules. The final step is to design repository and to construct a system. In this paper, we applied the fourth step to our case study, which was specified from the first step to the fourth. The specified fourth step contains various things for constructing repository. And the fourth step reanalyzes informal and unstructured information by using reverse engineering tools, in order to provide effective guidelines for productive software maintenance and re-engineering.

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Phishing Detection Methodology Using Web Sites Heuristic (웹사이트 특징을 이용한 휴리스틱 피싱 탐지 방안 연구)

  • Lee, Jin Lee;Park, Doo Ho;Lee, Chang Hoon
    • KIPS Transactions on Computer and Communication Systems
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    • v.4 no.10
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    • pp.349-360
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    • 2015
  • In recent year, phishing attacks are flooding with services based on the web technology. Phishing is affecting online security significantly day by day with the vulnerability of web pages. To prevent phishing attacks, a lot of anti-phishing techniques has been made with their own advantages and dis-advantages respectively, but the phishing attack has not been eradicated completely yet. In this paper, we have studied phishing in detail and categorize a process of phishing attack in two parts - Landing-phase, Attack-phase. In addition, we propose an phishing detection methodology based on web sites heuristic. To extract web sites features, we focus on URL and source codes of web sites. To evaluate performance of the suggested method, set up an experiment and analyze its results. Our methodology indicates the detection accuracy of 98.9% with random forest algorithm. The evaluation of proof-of-concept reveals that web site features can be used for phishing detection.

Detecting Ventricular Tachycardia/Fibrillation Using Neural Network with Weighted Fuzzy Membership Functions and Wavelet Transforms (가중 퍼지소속함수 기반 신경망과 웨이블릿 변환을 이용한 심실 빈맥/세동 검출)

  • Shin, Dong-Kun;Zhang, Zhen-Xing;Lee, Sang-Hong;Lim, Joon-S.;Lee, Jung-Hyun
    • The Journal of the Korea Contents Association
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    • v.9 no.7
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    • pp.19-26
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    • 2009
  • This paper presents an approach to classify normal and ventricular tachycardia/fibrillation(VT/VF) from the Creighton University Ventricular Tachyarrhythmia Database(CUDB) using the neural network with weighted fuzzy membership functions(NEWFM) and wavelet transforms. In the first step, wavelet transforms are used to obtain the detail coefficients at levels 3 and 4. In the second step, all of detail coefficients d3 and d4 are classified into four intervals, respectively, and then the standard deviations of the specific intervals are used as eight numbers of input features of NEWFM. NEWFM classifies normal and VT/VF beats using eight numbers of input features, and then the accuracy rate is 90.1%.

Sequential Extraction of Trace Elements and Uptake by Pakchoi from Volcanic Soils in Jeju Island (제주 화산회토양의 중금속 연속추출 특성 및 작물 흡수에 미치는 영향)

  • Lim, Han-Cheol;Moon, Kyung-Hwan;Jeon, Seung-Jong;Park, Won-Pyo;Hyun, Hae-Nam
    • Korean Journal of Soil Science and Fertilizer
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    • v.42 no.2
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    • pp.65-69
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    • 2009
  • We studied to compare the fractionation patterns of Ni, Cu, Zn in Jeju volcanic ash soils and to elucidate the uptakes of them by Pakchoi(Brassica campestris var. chinensis). Fractionation patterns of soils by sequential extraction method were different and make to distinguish from various soil types. In Pakchoi, the transfer rates of Ni, Cu, Zn from root to shoot were also different by metal types. There are low corelation between fractional contents in soil and contents in plants of trace elements except for exchangeable Zn. It is needed to develop novel methods for the assessment soil Ni in relation to plant uptake because of poor corelation.

Performance Improvement of Bearing Fault Diagnosis Using a Real-Time Training Method (실시간 학습 방법을 이용한 베어링 고장진단 성능 개선)

  • Cho, Yoon-Jeong;Kim, Jae-Young;Kim, Jong-Myon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.4
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    • pp.551-559
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    • 2017
  • In this paper, a real-time training method to improve the performance of bearing fault diagnosis. The traditional bearing fault diagnosis cannot classify a condition which is not trained by the classifier. The proposed 4-step method trains and recognizes new condition in real-time, thereby it can classify the condition accurately. In the first step, we calculate the maximum distance value for each class by calculating a Euclidean distance between a feature vector of each class and a centroid of the corresponding class in the training information. In the second step, we calculate a Euclidean distance between a feature vector of new acquired data and a centroid of each class, and then compare with the allowed maximum distance of each class. In the third step, if the distance between a feature vector of new acquired data and a centroid of each class is larger than the allowed maximum distance of each class, we define that it is data of new condition and increase count of new condition. In the last step, if the count of new condition is over 10, newly acquired 10 data are assigned as a new class and then conduct re-training the classifier. To verify the performance of the proposed method, bearing fault data from a rotating machine was utilized.

An Emotion Recognition Method using Facial Expression and Speech Signal (얼굴표정과 음성을 이용한 감정인식)

  • 고현주;이대종;전명근
    • Journal of KIISE:Software and Applications
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    • v.31 no.6
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    • pp.799-807
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    • 2004
  • In this paper, we deal with an emotion recognition method using facial images and speech signal. Six basic human emotions including happiness, sadness, anger, surprise, fear and dislike are investigated. Emotion recognition using the facial expression is performed by using a multi-resolution analysis based on the discrete wavelet transform. And then, the feature vectors are extracted from the linear discriminant analysis method. On the other hand, the emotion recognition from speech signal method has a structure of performing the recognition algorithm independently for each wavelet subband and then the final recognition is obtained from a multi-decision making scheme.

Emotion Recognition Method from Speech Signal Using the Wavelet Transform (웨이블렛 변환을 이용한 음성에서의 감정 추출 및 인식 기법)

  • Go, Hyoun-Joo;Lee, Dae-Jong;Park, Jang-Hwan;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.14 no.2
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    • pp.150-155
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    • 2004
  • In this paper, an emotion recognition method using speech signal is presented. Six basic human emotions including happiness, sadness, anger, surprise, fear and dislike are investigated. The proposed recognizer have each codebook constructed by using the wavelet transform for the emotional state. Here, we first verify the emotional state at each filterbank and then the final recognition is obtained from a multi-decision method scheme. The database consists of 360 emotional utterances from twenty person who talk a sentence three times for six emotional states. The proposed method showed more 5% improvement of the recognition rate than previous works.

A Study on Evacuees Risk Assesment for Application of Spatial Risk Information (공간위험정보를 적용한 대피자 위험성평가에 관한 연구)

  • Hong, Seungbum;Jang, Jae-Soon;Park, Hyun-A;Rie, Dong-Ho
    • Fire Science and Engineering
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    • v.29 no.2
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    • pp.8-12
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    • 2015
  • Performance Based Design is evaluating after each calculatiuon ASET and RSET. Risk informaion values such as heat, smoke, toxic gas etc are extracted by FDS in this study. These Risk informaion values by FDS apply Artisoc (evacuation simulator). Building structure made $60m{\times}65m$, exit number is made 2 positions and people in this building are 50 ramdonly. 20 times (case1~case 20) simulated and analysis evacuees risk by evacuated route positions.

Implementation of Radar Environment Classifier for Adaptive Target Detection (적응표적 탐지용 레이다 환경 분류기 구현)

  • Choi, Beyimg-Gwan;Choi, In-Sik;Kim, Whan-Woo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.5 s.305
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    • pp.157-164
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    • 2005
  • The conventional adaptive detectors can not maintain sufficient detection performance at the presence of non-stationary clutter with unknown characteristics. This is caused by the lack of a priori information about clutter parameters changing over radar coordinates. To solve this problem, it is necessary to use clutter classifiers which have functions, such as the selection of the applied algorithm and its parameters extraction according to clutter conditions. In this paper, we describe the implementation of a clutter environment classifier for adaptive processing. In the environment classifier implemented on Visual C++, the extraction of the parameters and selection of processing algorithm for the adaptive processing unit are possible, and the result of algorithms can be verified at each stage.