• Title/Summary/Keyword: Visual system

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The Classification Accuracy Improvement of Satellite Imagery Using Wavelet Based Texture Fusion Image (웨이브릿 기반 텍스처 융합 영상을 이용한 위성영상 자료의 분류 정확도 향상 연구)

  • Hwang, Hwa-Jeong;Lee, Ki-Won;Kwon, Byung-Doo;Yoo, Hee-Young
    • Korean Journal of Remote Sensing
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    • v.23 no.2
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    • pp.103-111
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    • 2007
  • The spectral information based image analysis, visual interpretation and automatic classification have been widely carried out so far for remote sensing data processing. Yet recently, many researchers have tried to extract the spatial information which cannot be expressed directly in the image itself. Using the texture and wavelet scheme, we made a wavelet-based texture fusion image which includes the advantages of each scheme. Moreover, using these schemes, we carried out image classification for the urban spatial analysis and the geological structure analysis around the caldera area. These two case studies showed that image classification accuracy of texture image and wavelet-based texture fusion image is better than that of using only raw image. In case of the urban area using high resolution image, as both texture and wavelet based texture fusion image are added to the original image, the classification accuracy is the highest. Because detailed spatial information is applied to the urban area where detail pixel variation is very significant. In case of the geological structure analysis using middle and low resolution image, the images added by only texture image showed the highest classification accuracy. It is interpreted to be necessary to simplify the information such as elevation variation, thermal distribution, on the occasion of analyzing the relatively larger geological structure like a caldera. Therefore, in the image analysis using spatial information, each spatial information analysis method should be carefully selected by considering the characteristics of the satellite images and the purpose of study.

Damage Evaluation of Track Components for Sleeper Floating Track System in Urban Transit (도시철도 침목플로팅궤도 궤도구성품의 손상평가)

  • Choi, Jung-Youl;Kim, Hak-Seon;Han, Kyung-Sung;Jang, Cheol-Ju;Chung, Jee-Seung
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.4
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    • pp.387-394
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    • 2019
  • In this study, in order to evaluate the damage and deterioration of the track components of sleeper floating track (STEDEF), the field samples(specimens) were taken from the serviced line over 20 years old, and the track components were visually inspected, and investigated by laboratory tests and finite element analysis. As a result of visual inspection, the damage of the rail pad and fastener was slight, but the rubber boot was worn and torn at the edges of bottom. The resilience pads were clearly examined for thickness reduction and fatigue hardening layer. As a result of spring stiffness test of rail pad and resilience pad, the deterioration of rail pad was insignificant, but the deterioration of resilience pad exceeded design standard value. Therefore resilience pad was directly affected by train passing tonnage. As a result of comparing the deterioration state of the field sample and the numerical analysis result, the stress and displacement concentration position of the finite element model and the damage position of the field sample were coincident.

Effects of Scalp Myofascial Technique and Manual Therapy on Pain and Quality of Life in Tension Type Headache Patients : Six Month Follow-up Results (두피근막이완기법과 도수치료가 긴장성두통 환자의 통증과 삶의 질에 미치는 영향 : 6개월 추적연구)

  • Lee, Hwa-Gyeong;Kim, Seong-Yeol
    • Journal of The Korean Society of Integrative Medicine
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    • v.9 no.2
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    • pp.119-130
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    • 2021
  • Purpose : We aimed to validate a new manual therapy to treat tension type headache(TTH) by applying myofascial release techniques to the scalp and to examine the changes in the quality of life and the headache characteristics after treatment and at the 6-month follow-up. Methods : Thirty patients were recruited in this study and were assigned to two groups through simple random sampling. Fifteen patients were assigned to the manual therapy group (MT) and 15 patients to the scalp myofascial release technique (SMT) group. However, five patients from the MT group and one from the SMT group were excluded. Therefore, 24 patients with TTH (10 males, 14 females) participated in the study. Patients underwent either MT or SMT. The procedures were performed by a physical therapist twice per week for 4 weeks. The quality of life [using the brief pain inventory (BPI) and the headache impact test (HIT)], and the frequency, duration, and intensity of the headache [on a visual analog scale (VAS)] were assessed before and after the treatment, and at the follow-up. Results : After 4 weeks of SMT, the frequency (p<.001), duration (p<.05), and intensity (p<.001) of the headache and the quality of life (HIT; p <.001, BPI; p<.001) significantly improved in the patients with TTH. The improvement in these parameters remained significant even after 6 months of follow-up. Similarly, After 4 weeks of MT, the frequency (p<.05), duration (p<.05), and intensity (p<.01) of the headache, and the quality of life (HIT; p<.05, BPI; p<.001) significantly improved in the patients with TTH. The improvement in these parameters remained significant even after 6 months of follow-up. There was no significant difference in these parameters between the two groups. Conclusion : It has been suggested that MT using the SMT can be used as a non-invasive treatment to treat the frequency, duration, and intensity of the TTH, and to improve the quality of life.

Model Design and Applicability Analysis of Interactive Electronic Technical Manual for Planning Stage of Construction Projects (건설공사 기획단계 전자매뉴얼의 적용 모형 구성 및 효과 분석)

  • Kwak, Joong-Min;Kang, Leen-Seok
    • Land and Housing Review
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    • v.12 no.2
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    • pp.121-139
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    • 2021
  • Technical documents in the construction field are changing from paper documents to electronic ones. As a result, the industry witnesses a trend of using portable electronic devices in searching or retrieving necessary information such as relevant regulations. Despite the improvement in the accessibility to general technical documents, a limitation is still found in accessing the electronic documents on the regulations. We see the barrier for field engineers to enhance their technical knowledge. One of major barriers is that videos, animations, and virtual reality information to enhance the visual understanding of technical content related to regulations are not linked. It is the interactive electronic technical manual (IETM) that can address such issues. The IETM is an electronic document system that enables real-time information acquisition while operating in the form of conversations with users by linking multimedia functions to document types such as specifications and guidelines. This study establishes a model of the IETM that can be operated in the planning stage of a construction project. The study also verifies its usability with a hypothetical case study. This study aims to improve the usability of the IETM in the construction project by analyzing the application effect of the IETM using the AHP technique.

Dual CNN Structured Sound Event Detection Algorithm Based on Real Life Acoustic Dataset (실생활 음향 데이터 기반 이중 CNN 구조를 특징으로 하는 음향 이벤트 인식 알고리즘)

  • Suh, Sangwon;Lim, Wootaek;Jeong, Youngho;Lee, Taejin;Kim, Hui Yong
    • Journal of Broadcast Engineering
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    • v.23 no.6
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    • pp.855-865
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    • 2018
  • Sound event detection is one of the research areas to model human auditory cognitive characteristics by recognizing events in an environment with multiple acoustic events and determining the onset and offset time for each event. DCASE, a research group on acoustic scene classification and sound event detection, is proceeding challenges to encourage participation of researchers and to activate sound event detection research. However, the size of the dataset provided by the DCASE Challenge is relatively small compared to ImageNet, which is a representative dataset for visual object recognition, and there are not many open sources for the acoustic dataset. In this study, the sound events that can occur in indoor and outdoor are collected on a larger scale and annotated for dataset construction. Furthermore, to improve the performance of the sound event detection task, we developed a dual CNN structured sound event detection system by adding a supplementary neural network to a convolutional neural network to determine the presence of sound events. Finally, we conducted a comparative experiment with both baseline systems of the DCASE 2016 and 2017.

A Preliminary Study on the Attractiveness of Yellow Sticky Trap for Insect Pests According to the Installation Angle of Traps in Strawberry Farms (시설딸기 농장에서 황색점착트랩 설치각도에 따른 주요 해충의 유살특성 예비연구)

  • Kim, Sanghee;Kim, Subin;Kim, Dong-Soon
    • Korean journal of applied entomology
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    • v.58 no.2
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    • pp.143-149
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    • 2019
  • This study was conducted to examine the attractiveness of yellow sticky trap (YST) for insect pests by the angle of inclination of the trap surface. In strawberry farms with high bed system, YSTs were installed to attract insect pests in vertical direction with one surface, horizontal direction with upper and under surface, and angle of $45^{\circ}$ with upper and lower sticky surface. Thrips (Frankliniella occidentalis in dominance) and Sciaridae (Bradysia agrestis in dominance) species were more attracted on upper surface of $45^{\circ}$ angle trap, vertical surface and upper surface of horizontal trap than on lower surface of $45^{\circ}$ angle trap or horizontal trap. Cicadellidae (Empoasca vitis in dominance) species were caught more on vertical surface and upper surface of $45^{\circ}$ angle trap than on other traps. There were no specific trend in capture of aphid (Aphis gossypii in dominance) and white fly (Trialeurodes packardi in dominance) species among traps, probably because of a low density of the pest species.

A Study on Selection of an Overhead Electrical Transmission Line Corridor with Social Conflict (사회적 갈등을 갖는 송전선로 경과지 선정에 관한 연구)

  • Son, Hong-Chul;Moon, Chae-Joo;Kim, Hak-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.4
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    • pp.577-584
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    • 2021
  • Electrical energy is an essential component in present societies, which is an important basis for our technological society. In the design of new power infrastructure, it is important to consider the psychological aspects of how our culture considers and aspects its development as an integral component of the community environment. The construction of new high voltage overhead transmission lines has become a controversial issue for public policy of government due to social opposition. The members of community are concerned about how these power lines may have an impact on their lives, basically caused by their effects on health and safety. The landscape and visual impact is one of the most impact that can be easily perceived for local community. The computer 3D simulation of new landscape is illustrated by a real life use corresponding to the selection of the power line route with least observability for local community. This paper used ArcGIS(geographic information system tool) for planning, survey, basic route and detailed route, route for implementation of transmission line corridor. Also, the paper showed the map of natural environment, living environment, safety and altitude using database of power line corridor, and transmission siting model was developed by this study. The suggested landscape of computer simulation with lowest visibility on a power line zone can contribute to reducing oppositions of local community and accelerating the construction of new power lines.

The Status of Damage and Monitoring of Subterranean Termite (Reticulitermes spp.) (Blattodea: Rhinotermitidae) for Wooden Cultural Heritage in Korea (국내 목조문화재에 대한 지중 흰개미 피해 및 모니터링 현황)

  • Im, Ik-Gyun;Cha, Hyun-Seok;Kang, Won-Chul;Lee, Sang-Bin;Han, Gyu-Seong
    • Journal of Conservation Science
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    • v.37 no.3
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    • pp.191-208
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    • 2021
  • In this study, the status of damage by subterranean termites and their management according to the region and type of domestic wooden cultural properties were identified. This was based on the survey reports of agencies conducting regular nationwide and regional monitoring of subterranean termites. In addition, using geographical information system (GIS) based on the survey contents, a map was constructed of termite infestation and its progress on 2,805 wooden cultural properties that were surveyed nationwide. Based on the map produced, a total of 486 cases of termite infestation were confirmed in wooden cultural properties during 2018-2019, of which 143 cases (approximately 29.4%) were confirmed to be owing to the invasion of termites in the ground and infestation of wood materials. A web platform and an application using a mapping application program interface were created to increase accessibility to the investigated damage status data. The methods employed by each institution for investigating and monitoring the invasion of termites in the ground included the use of detection dogs, visual observation, installation of wood specimens made of pine, and microwave equipment. However, it was confirmed that monitoring and survey methods were not applied to determine the territorial range of the subterranean termite colonies. Accordingly, the use of dyeing and mark-release-recapture methods were deemed necessary to understand the current status, such as calculating the scope of the target wooden cultural property, when monitoring subterranean termite colonies.

Sound Visualization based on Emotional Analysis of Musical Parameters (음악 구성요소의 감정 구조 분석에 기반 한 시각화 연구)

  • Kim, Hey-Ran;Song, Eun-Sung
    • The Journal of the Korea Contents Association
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    • v.21 no.6
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    • pp.104-112
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    • 2021
  • In this study, emotional analysis was conducted based on the basic attribute data of music and the emotional model in psychology, and the result was applied to the visualization rules in the formative arts. In the existing studies using musical parameter, there were many cases with more practical purposes to classify, search, and recommend music for people. In this study, the focus was on enabling sound data to be used as a material for creating artworks and used for aesthetic expression. In order to study the music visualization as an art form, a method that can include human emotions should be designed, which is the characteristics of the arts itself. Therefore, a well-structured basic classification of musical attributes and a classification system on emotions were provided. Also, through the shape, color, and animation of the visual elements, the visualization of the musical elements was performed by reflecting the subdivided input parameters based on emotions. This study can be used as basic data for artists who explore a field of music visualization, and the analysis method and work results for matching emotion-based music components and visualizations will be the basis for automated visualization by artificial intelligence in the future.

Image-Based Automatic Bridge Component Classification Using Deep Learning (딥러닝을 활용한 이미지 기반 교량 구성요소 자동분류 네트워크 개발)

  • Cho, Munwon;Lee, Jae Hyuk;Ryu, Young-Moo;Park, Jeongjun;Yoon, Hyungchul
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.6
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    • pp.751-760
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    • 2021
  • Most bridges in Korea are over 20 years old, and many problems linked to their deterioration are being reported. The current practice for bridge inspection mainly depends on expert evaluation, which can be subjective. Recent studies have introduced data-driven methods using building information modeling, which can be more efficient and objective, but these methods require manual procedures that consume time and money. To overcome this, this study developed an image-based automaticbridge component classification network to reduce the time and cost required for converting the visual information of bridges to a digital model. The proposed method comprises two convolutional neural networks. The first network estimates the type of the bridge based on the superstructure, and the second network classifies the bridge components. In avalidation test, the proposed system automatically classified the components of 461 bridge images with 96.6 % of accuracy. The proposed approach is expected to contribute toward current bridge maintenance practice.