• Title/Summary/Keyword: visual search performance

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A Study on Development of Visual Navigational Aids to improve Maritime Situation Awareness (해상상황인식 개선을 위한 시각적 항해보조장비 개발에 관한 연구)

  • Kim, Eun-Kyung;Im, Nam-Kyun;Han, Song-Hee;Jeong, Jung-Sik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.3
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    • pp.379-385
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    • 2012
  • This paper developes the navigation visual aid supporting a watch officer's situation awareness and analyzes its performance test result. Developing the equipment made from composite video sensor which transfer video signal, ranger laser measurement model which search out distance, Pan/ Tilt, center control device. The developed equipment with Pan/Tilt was made from high performance video sensor and ranger laser measurement. To make a real ship test, we carried on setting the developed equipment on ship, observed a danger factor and analyzed a image, and from that we can evaluate marine environment awareness. Through this result, the developed equipment can show effective ability of the awareness of the clearer check and resolution situation when compare with the binocular.

Relative Risk Evaluation of Front-to-Rear-End Collision when Drivers Using Electronic Devices: A Simulation Study (추출가능 상황에서 전자기기 사용유형에 따른 상대적 위험성평가: 운전 시뮬레이션 연구)

  • Lee, Se-Won;Lee, Jae-Sik
    • Journal of the Korean Society of Safety
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    • v.24 no.4
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    • pp.104-110
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    • 2009
  • In this driving simulation study, the impairing effects of various types of electronic devices usage(i. e., destination search by using in-vehicle navigation system, TV watching and dialing cellular phone) during driving on front-to-rear-end collision avoidance were investigated. Percentage of collisions, driving speeds when the drivers collided, and initial reaction time for collision avoidance were analyzed and compared as the dependent measures. The results indicated that (1) any types of electronic devices usage during driving induced more serious collision-related impairment than control condition where no additional task was required, and (2) in general, destination search task appeared to impair drivers collision avoidance performance more than the other task requirements in terms of percentage of collisions and initial reaction time for collision avoidance, but TV watching induced most serious collision impact. These results suggested that any types of electronic device usage could distract drivers attention from the primary task of driving, and be resulted in serious outcome in potentially risky situation of front-to-rear-end collision. In particular, mandatory use of eye-hand coordination and receiving feedback seemed to one of essential factor leading the drivers visual attentional distraction.

On-Road Succeeding Vehicle Detection using Characteristic Visual Features (시각적 특징들을 이용한 도로 상의 후방 추종 차량 인식)

  • Adhikari, Shyam Prasad;Cho, Hi-Tek;Yoo, Hyeon-Joong;Yang, Chang-Ju;Kim, Hyong-Suk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.3
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    • pp.636-644
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    • 2010
  • A method for the detection of on-road succeeding vehicles using visual characteristic features like horizontal edges, shadow, symmetry and intensity is proposed. The proposed method uses the prominent horizontal edges along with the shadow under the vehicle to generate an initial estimate of the vehicle-road surface contact. Fast symmetry detection, utilizing the edge pixels, is then performed to detect the presence of vertically symmetric object, possibly vehicle, in the region above the initially estimated vehicle-road surface contact. A window defined by the horizontal and the vertical line obtained from above along with local perspective information provides a narrow region for the final search of the vehicle. A bounding box around the vehicle is extracted from the horizontal edges, symmetry histogram and a proposed squared difference of intensity measure. Experiments have been performed on natural traffic scenes obtained from a camera mounted on the side view mirror of a host vehicle demonstrate good and reliable performance of the proposed method.

Neuro-cognitive Ramifications of Fasting and Feeding in Obese and Non-obese Cases

  • Mostafavi, Seyed-Ali;Khaleghi, Ali;Vand, Safa Rafiei;Alavi, Seyyed Salman;Mohammadi, Mohammad Reza
    • Clinical Psychopharmacology and Neuroscience
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    • v.16 no.4
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    • pp.481-488
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    • 2018
  • Preliminary studies have claimed that short term fasting would negatively affect school performance and cognition. In contrast some other studies have reported not important decline in cognition and executive function as a result of fasting. Also limited attention was generally devoted to dietetic regimens, nutritional status and body weight. Yet neuroscience and neuro-cognitive aspects of acute hunger on the electroencephalogram and differences between obese and non-obese cases is not well understood. Hence, we decided to design and perform a case study in a more controlled situation similar to reality. Therefore, we performed several examinations including subjective tests (for eating status) and objective tests (cognitive tests such as Stroop effect and Sternberg search and electroencephalogram measures such as steady-state visual evoked potential and auditory steady-state responses) for an obese and a non-obese academic case before and after a simple breakfast. The results showed that the breakfast effects on the neuro-cognitive functions depend on either obesity status, nutritional status of the case or the type of cognitive task (visual or auditory). This paper would open a new insight to answer some important questions about the neuro-cognitive implications of fasting and feeding in obese and non-obese human cases.

The effectiveness of structured educational programs for hemodialysis patients in Korea: an integrated literature review (국내 혈액투석 환자를 위한 구조화된 교육프로그램의 효과에 관한 통합적 문헌고찰)

  • Young Ran Chae;Jeong-Joo Choi;Min Sub Kim
    • Journal of Korean Biological Nursing Science
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    • v.25 no.3
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    • pp.143-159
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    • 2023
  • Purpose: The purpose of this study was to provide evidence for future research by analyzing the contents, delivery methods, and educational effects of educational programs for hemodialysis patients. Methods: A literature review was conducted in the following order: problem identification, literature search and data collection, data evaluation, data analysis, and data presentation. In total, 936 documents were retrieved from the search, and 24 documents were finally included in this study. Results: The contents of the educational programs were comprehensive hemodialysis-related knowledge education in seven studies, exercise-related education in 10 studies, diet-related education in four studies, drug-related education in one study, and complex education in two studies. The delivery methods were pamphlets in six studies, audio-visual materials in four studies, direct guidance by researchers in six studies, and multiple methods in seven studies. The effects of the educational program were divided into physical indicators, emotional indicators, and knowledge and performance related to hemodialysis. Sixteen out of 20 articles using physical indicators showed significant outcomes, and 10 out of 12 articles using emotional indicators derived positive results. Hemodialysis-related knowledge and performance were measured in eight and 10 studies, respectively, and meaningful results were found in six studies for knowledge and seven studies for performance. Conclusion: Future research will require the development of a systematic and standardized educational program with comprehensive content that can be provided to all hemodialysis patients, as well as a highly accessible education delivery method to enhance the effectiveness of education.

A Co-Evolutionary Approach for Learning and Structure Search of Neural Networks (공진화에 의한 신경회로망의 구조탐색 및 학습)

  • 이동욱;전효병;심귀보
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.10a
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    • pp.111-114
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    • 1997
  • Usually, Evolutionary Algorithms are considered more efficient for optimal system design, However, the performance of the system is determined by fitness function and system environment. In this paper, in order to overcome the limitation of the performance by this factor, we propose a co-evolutionary method that two populations constantly interact and coevolve. In this paper, we apply coevolution to neural network's evolving. So, one population is composed of the structure of neural networks and other population is composed of training patterns. The structure of neural networks evolve to optimal structure and, at the same time, training patterns coevolve to feature patterns. This method prevent the system from the limitation of the performance by random design of neural network structure and inadequate selection of training patterns. In this time neural networks are trained by evolution strategies that are able to apply to the unsupervised learning. And in the coding of neural networks, we propose the method to maintain nonredundancy and character preservingness that are essential factor of genetic coding. We show the validity and the effectiveness of the proposed scheme by applying it to the visual servoing of RV-M2 robot manipulators.

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Discussions on the Reconstruction of Visual Illusion in Dynamic Images - Take of Paul Sermon as an example (다이나믹 이미지 예술 중 착시의 재구성에 관한 연구 - 폴 셔먼의 을 중심으로)

  • GAO, XIAOYA;Paik, Joonki
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.189-201
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    • 2021
  • The art of dynamic images has experienced three development stages, including experimental films, recording art, and new media image. By introducing all kinds of new materials, new media to the art, and the art of dynamic images has created more freedom for art creation. With the development of digital information technology, dynamic image works have put forward an increasingly high requirement of visual art. The combination of dynamic images and visual illusion can give rise to different forms and expression methods, thus endowing artworks with more vigor. This paper provides an overview by sorting out the lineage and development of dynamic images in the background, as well as understanding the application and performance of contrasted visual illusion. Based on the understanding of the characteristics of visual illusion, we discuss the new characteristics of applying the theory of visual illusion to new media dynamic images in relation to the technical approach of dynamic images. Through the analysis of specific works of Telematic Vision, we search for its reasonable combination and find the appropriate technical means of implementation. We discuss how to use digital multimedia technology and spatial optical illusion to make the design more novel and impactful, and consider how the combination of digital dynamic image technology and visual illusion should be interpreted and applied.

Content-Based Video Retrieval System Using Color and Motion Features (색상과 움직임 정보를 이용한 내용기반 동영상 검색 시스템)

  • 김소희;김형준;정연구;김회율
    • Proceedings of the IEEK Conference
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    • 2001.06c
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    • pp.133-136
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    • 2001
  • Numerous challenges have been made to retrieve video using the contents. Recently MPEG-7 had set up a set of visual descriptors for such purpose of searching and retrieving multimedia data. Among them, color and motion descriptors are employed to develop a content-based video retrieval system to search for videos that have similar characteristics in terms of color and motion features of the video sequence. In this paper, the performance of the proposed system is analyzed and evaluated. Experimental results indicate that the processing time required for a retrieval using MPEG-7 descriptors is relatively short at the expense of the retrieval accuracy.

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Optimization of Fuzzy Car Controller Using Genetic Algorithm

  • Kim, Bong-Gi;Song, Jin-Kook;Shin, Chang-Doon
    • Journal of information and communication convergence engineering
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    • v.6 no.2
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    • pp.222-227
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    • 2008
  • The important problem in designing a Fuzzy Logic Controller(FLC) is generation of fuzzy control rules and it is usually the case that they are given by human experts of the problem domain. However, it is difficult to find an well-trained expert to any given problem. In this paper, I describes an application of genetic algorithm, a well-known global search algorithm to automatic generation of fuzzy control rules for FLC design. Fuzzy rules are automatically generated by evolving initially given fuzzy rules and membership functions associated fuzzy linguistic terms. Using genetic algorithm efficient fuzzy rules can be generated without any prior knowledge about the domain problem. In addition expert knowledge can be easily incorporated into rule generation for performance enhancement. We experimented genetic algorithm with a non-trivial vehicle controling problem. Our experimental results showed that genetic algorithm is efficient for designing any complex control system and the resulting system is robust.

Dimension-Reduced Audio Spectrum Projection Features for Classifying Video Sound Clips

  • Kim, Hyoung-Gook
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.3E
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    • pp.89-94
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    • 2006
  • For audio indexing and targeted search of specific audio or corresponding visual contents, the MPEG-7 standard has adopted a sound classification framework, in which dimension-reduced Audio Spectrum Projection (ASP) features are used to train continuous hidden Markov models (HMMs) for classification of various sounds. The MPEG-7 employs Principal Component Analysis (PCA) or Independent Component Analysis (ICA) for the dimensional reduction. Other well-established techniques include Non-negative Matrix Factorization (NMF), Linear Discriminant Analysis (LDA) and Discrete Cosine Transformation (DCT). In this paper we compare the performance of different dimensional reduction methods with Gaussian mixture models (GMMs) and HMMs in the classifying video sound clips.