Earticle

이 연구의 목적은 최근 논의되고 있는 e스포츠 사례들 중 VR-e스포츠의 가능성을 시각현상에서 나타나는 알고리즘 분석을 통해 제시하였다. 최근에 등장하는 실감형 미디어 사례들을 대상으로 시각 알고리즘 분석을 통해 비교분석 하 였다. 연구결과는 다음과 같다. 첫째, e스포츠가 일반 ‘스포츠’로 인정될 수 있는 명확한 기준이 제시되었다. 둘째, e스포츠보다 더 일반 스포츠로써 인정될 수 있는 VR-e스포츠의 가능성을 증명하였다. 셋째, 시각체계분석, 프레임의 유형화, 알고리즘 분석 등을 통해 e스포츠를 넘어 VR-e스포츠로서의 확장성은 물론 학문적인 근거를 제시할 수 있었 다. 연구방법으로는 전통적인 시각체계를 통한 시각 유형화를 구축하고 e스포츠 사례와 실감형 미디어 사례들을 비교 하여 그 결과 값을 시각 알고리즘화 하였다. 최근까지 e스포츠는 산업적 분야의 이익에 관한 연구는 많이 축적 되었 었다. 하지만 이론적 연구는 미흡한 실정이다. 따라서 본 연구를 통해 e스포츠 연구의 방향을 학적 체계와 학적 가치 를 규명하는 연구를 넘어 VR과의 확장성을 찾는데 연구의 초점을 맞추고자 하였다.

The purpose of this study is to present the possibility of VR-eSports among eSports cases currently being discussed through algorithmic analysis that appears in visual phenomena. The recently appeared immersive media cases were compared and analyzed through visual algorithm analysis. The research results are as follows. First, a clear criterion for eSports to be recognized as a general 'sport' was presented. Second, It suggested the possibility of VR-eSports that can be recognized as more general sports than eSports. Third, Through visual system analysis, frame type, and algorithm analysis, it was possible to present academic grounds as well as expandability as VR-eSports beyond eSports. As a research method, visual typification was built through the existing visual system and the results were transformed into visual algorithms by comparing e-sports cases and immersive media cases. Until recently, e-sports had accumulated a lot of research on the interests of the industrial field. However, the theoretical study is insufficient. Therefore, through this study, the direction of eSports research aims to focus on finding scalability with VR beyond the study of identifying the academic system and academic value.

Recently, security researches have been processed on the method to cover a broader range of hacking attacks at the low level in the perspective of hardware. This system security applies not only to individuals' computer systems but also to cloud environments. "Cloud" concerns operations on the web. Therefore it is exposed to a lot of risks and the security of its spaces where data is stored is vulnerable. Accordingly, in order to reduce threat factors to security, the TCG proposed a highly reliable platform based on a semiconductor-chip, the TPM. However, there have been no technologies up to date that enables a real-time visual monitoring of the security status of a PC that is operated based on the TPM. And the TPB has provided the function in a visual method to monitor system status and resources only for the system behavior of a single host. Therefore, this paper will propose a m-TMS (Mobile Trusted Monitoring System) that monitors the trusted state of a computing environment in which a TPM chip-based TPB is mounted and the current status of its system resources in a mobile device environment resulting from the development of network service technology. The m-TMS is provided to users so that system resources of CPU, RAM, and process, which are the monitoring objects in a computer system, may be monitored. Moreover, converting and detouring single entities like a PC or target addresses, which are attack pattern methods that pose a threat to the computer system security, are combined. The branch instruction trace function is monitored using a BiT Profiling tool through which processes attacked or those suspected of being attacked may be traced, thereby enabling users to actively respond.

Visual communication is widely used and enhanced in modern society, where there is an increasing demand for spirituality. Museum robots are one of many service robots that can replace humans to provide services such as display, interpretation and dialogue. For the improvement of museum guide robots, the paper proposes a human-robot interaction system based on visual communication skills. The system is based on a deep neural mesh structure and utilizes theoretical analysis of computer vision to introduce a Tiny+CBAM mesh structure in the gesture recognition component. This combines basic gestures and gesture states to design and evaluate gesture actions. The test results indicated that the improved Tiny+CBAM mesh structure could enhance the mean average precision value by 13.56% while maintaining a loss of less than 3 frames per second during static basic gesture recognition. After testing the system's dynamic gesture performance, it was found to be over 95% accurate for all items except double click. Additionally, it was 100% accurate for the action displayed on the current page.

Purpose: To find the effect of visual feedback of head angle with using a mobile posture-aware system on craniocervical angle and neck and shoulder muscles fatigue for preventing or decreasing the forward head posture. Methods: Twenty-four healthy young adults in Chungbuk to participate in this study. The subjects started to watch a movie clip for 10 minutes with visual feedback in $0^{\circ}$, $30^{\circ}$, and $60^{\circ}$ of head angles. During the task, surface electromyography (EMG) was used to collect data from the upper trapezius (UT), sternocleidomasetoid muscle (SCM), cervical erecter spinae (CES) during watching the smartphone. Craniocervical angles were measured using a sagittal-view photograph of the subject in a sitting posture. A one-way repeated analysis of variance with a significant level of 0.05 used for statistical analysis. Results: Craniocervical angle with $0^{\circ}$ visual feedback was significantly greater than $30^{\circ}$ and $60^{\circ}$. Craniocervical angle with $30^{\circ}$ visual feedback was significantly greater than $60^{\circ}$. In addition, MDF of UT muscles in $0^{\circ}$ and $30^{\circ}$ of visual feedback was significantly greater than $60^{\circ}$. Conclusion: We concluded that $0^{\circ}$ visual feedback of head angle with using a mobile posture-aware system would be beneficial to prevent or decrease forward head posture during watching a smartphone. We also could recommend using of $30^{\circ}$ visual feedback in case of caring UT muscle fatigue primarily.

In this paper we present the combination of location based mobile advertisement services and dynamic digital signage markets has been developing recent days to provide consumer admired visual mobile advertisement on all kind transportation vehicles. In spite of that, the digital signage advertisement content management is still not that easy to manage the content dynamically as well operation is most time consuming to handle the contents dynamically in digital signage business. As location based services is most impactful service in shopping, the location responsive advertisement on vehicle signage will be most desirable mobile advertisement to help people migrate from one place to another place for travel or stay. This paper propose a mobile location responsive digital signage system for vehicles using the GPS and wireless infrastructure integrated with digital signage system. This proposed research use the centralized digital signage system architecture for the mobile advertisement application and this system can be expanded to different vehicles for digital advertisement including buses, trucks, train, air vehicle and any other form of mobile advertising vehicles. Also, this present an effective advertisement recommendation algorithm, by which the advertisement can be selected broadcasted for the right advertisement ventures more effectively as the service requested from advertiser. This paper present the emulated experimental result to evidence the proposed dynamic vehicle signage system performed better than compared with traditional signage random advertising. The emulated result proves that the advertisement recommendation algorithm can effectively works out the targeted key audiences in location responsive region the algorithm evaluated

본 연구는 플랜트 기자재를 생산하는 기업에서 정보시각화를 이용한 생산관리 시스템을 개발하고 적용한 사례를 중심으로 제조업에서 정보시각화를 활용하기 위한 방안을 탐구한다. 정보시각화는 이해용이성, 객관성과 직관성에서 장점이 있기 때문에 생산관리 업무에서 현장에서 적용 시 관리효율성과 시간효율성 측면에서 개선점이 있는 것으로 분석되었다. 또한 시각화된 공정정보를 IT기반의 시스템을 활용하여 고객을 포함하는 이해당사자와 공유하고 필요 자원에 대한 관리를 개선할 수 있는 것으로 나타났다. 이러한 중공업 기반의 산업에서의 적용사례를 통해 정보시각화를 제조업 현장에 적용하기 위한 실질적 정보와 함께 제조업 전반으로 확대를 위한 가능성을 제시한다.

Background: We developed a machine vision technology program that tracks patients’ realtime breathing and automatically analyzes their breathing patterns. Materials and Methods: To evaluate its potential for clinical application, the image tracking performance and accuracy of the program were analyzed using a respiratory motion phantom. Changes in the stability and regularity of breathing were observed in healthy adult volunteers according to whether the breathing pattern mirrored the breathing guidance. Results and Discussion: Displacement within a few millimeters was observed in real-time with a clear resolution, and the image tracking ability was excellent. This result was consistent even in the sections where breathing patterns changed rapidly. In addition, the respiratory gating method that reflected the individual breathing patterns improved breathing stability and regularity in all volunteers. Conclusion: The findings of this study suggest that this technology can be used to set the appropriate window and the range of internal target volume by reflecting the patient’s breathing pattern during radiotherapy planning. However, further studies in clinical populations are required to validate this technology.

PID 오토 튜닝 컨트롤러는 퍼지 논리를 통해 설계되었다. 이러한 오류 및 오류 파생 의견으로 일반적인 값은 발견적 표현으로 변경, 그들은 퍼지 및 defuzzification 과정을 통해 PID 이득을 결정했다. 퍼지 절차 및 PID 제어기 설계는 개별적으로 간주하고, 그것들을 혼합하고, 분석 하였다. 퍼지 논리에 의해 획득 자동 조정 PID 컨트롤러는 3 차 플랜트 제어 이하의 능력을 보여 주었다. 또한 설계된 자동 동조 방식으로 추적 문제를 참조하는 데 적용한다.

PID auto-tuning controller was designed via fuzzy logic. Typical values such as error and error derivative feedback were changed as heuristic expressions, and they determine PID gain through fuzzy logic and defuzzification process. Fuzzy procedure and PID controller design were considered separately, and they are combined and analyzed. Obtained auto-tuning PID controller by Fuzzy Logic showed the ability for less than 3rd order plant control. We also applied to reference tracking problem with the designed auto-tuning scheme.

치명적인 사고를 막기 위해 드라이버 졸음 (DD)를 검출하는 다양한 최근 방법이 제안되고있다. 본 논문은 운전자의 눈에 폐쇄 속도를 모니터링 할 수 있는 기능을 AdaBoost 기반 물체 검출 알고리즘에 적용한 DD 탐지 시스 템 구현에서 하드웨어/소프트웨어 공동 설계 방법을 제안한다. 소프트웨어 구성 요소는 DD 검출 알고리즘 중에서 필요한 기능성을 완전하게 달성하기 위해 전체적인 제어 및 논리 연산을 구현한다. 반면, 본 연구에서는 DD 검출 알고리즘의 중요한 기능은 처리를 가속화하기 위해 맞춤형 하드웨어 구성 요소를 통해 가속된다. 하드웨어/소프트웨 어 아키텍처는 비디오 도터 보드와 알테라 DE2 보드에 구현되었습니다. 제안 된 구현의 성능을 평가하고 몇 가지 최근의 작품을 벤치마킹했다.

There have been various recent methods proposed in detecting driver drowsiness (DD) to avert fatal accidents. This work proposes a hardware/software (HW/SW) co-design approach in implementation of a DD detection system adapted from an AdaBoost-based object detection algorithm with Haar-like features [1] to monitor driver’s eye closure rate. In this work, critical functions of the DD detection algorithm is accelerated through custom hardware components in order to speed up processing, while the software component implements the overall control and logical operations to achieve the complete functionality required of the DD detection algorithm. The HW/SW architecture was implemented on an Altera DE2 board with a video daughter board. Performance of the proposed implementation was evaluated and benchmarked against some recent works.

This paper describes a visual control scheme, fuzzy logic system for visual servoing of an autonomous mobile robot. An existing communication autonomous mobile robot always needs to keep the object in image to detect the moving object. This is a problem in an autonomous mobile robot for spontaneous activity. To solve it, some features for an object are taken from an image and then use in the design of fuzzy logic system for decision of moving location and direction of visual servoing contrivance(apparatus). So continuous tracking is possible by moving the visual servoing contrivance. We present some simulation results and further studies in the Section of Simulation and Concluding Remarks.

읽기는 인간만이 향유하는 상위 인지 기능 중 하나이다. 시각 시스템은 읽기 학습 동안 발생하는 뇌의 학습과 가소성을 연구하기 위해 적합한 뇌의 영역이다. 특히, 상위 시각 영역은 읽기 학습 이전에는 단어에 대해 선택적으로 반응하지 않지만, 성공적인 읽기 학습을 통해 기존의 다른 기능을 담당하는 영역들 사이에서 단어에 대한 선택적 반응을 하는 단어 영역을 형성한다. 또한 시각 시스템은 읽기를 수행하는 동안 읽기 회로 중 가장 먼저 정보처리를 하는 뇌의 영역이다. 하지만 읽기 처리 과정을 위한 시각 시스템의 역할에 대한 연구는 언어 영역 등 상위 인지 영역의 연구에 비해 주목을 받지 못했다. 본 논문에서는 읽기와 밀접한 관계가 있는 시각 시스템의 기능에 대해 개관하고, 읽기 학습 장애인 난독증 연구 결과를 토대로 읽기 처리 과정에 대한 시각 시스템의 기능에 대해 논할 것이다. 끝으로 임의의 시각자극인 문자 언어와 이에 대응하는 음성 언어를 연합하는 다중 감각 정보처리 과정으로서의 읽기에 대해 논의할 것이다. 본 논문에서 개관하는 선행 연구들은 시각 시스템이 읽기 발달에 매우 중요한 역할을 한다는 것과 시각 시스템의 문제로 인한 난독증 발생의 가능성을 보여주었다. 따라서 읽기에 대한 시각 시스템의 역할을 이해하는 것은 성공적인 읽기 학습을 위한 신경 기제를 규명할 뿐만 아니라 읽기 학습 장애인 난독증 치료를 위한 효과적인 중재 프로그램 개발에 매우 중요한 연구 주제이다.

Only humans possess the high-level cognitive function of reading. The visual system is the best platform to study learning and plasticity of the brain during learning to read. For example, the high-level visual areas of the illiterate brain do not selectively respond to words, and only after successful reading acquisition, the visual word form area emerges from the already established areas that selectively respond to various object categories. Furthermore, in the reading circuitry, the visual system is at the front end of reading process. However, compared to research on language and high-level cognitive areas, the role of the visual system in reading has attracted little attention. In this review paper, we summarize the reading-related function of the visual system and discuss how deficits in the visual system relate to developmental dyslexia, learning disability in reading based on dyslexia research. Finally, we discuss reading as multi-sensory processing, in which one should associate arbitrary visual symbols with speech sounds. Previous research has shown the important role of the visual system in reading development and suggested deficits in the visual system might cause dyslexia. Our research suggests that intervention programs for dyslexia as well as research on reading development should include the results from research on the visual system.

본 논문에서는 이산 웨이블릿 변환(DWT)영역에 인간의 시각시스템(HVS)용소를 적용한 압축에 강인한 디지털 워터마킹 알고리즘을 제안하였다 전처리과정으로 3-Levl DWT를 수행한 후, 주파수 계수의 공간적인 특성을 고려하여 워터마크를 삽입하였다. 최적의 워터마크삽입영역 선택을 위하여 영상의 명암대비도와 텍스처 특징을 파라미터로 실정하여 퍼지추론기를 설계하였다. 삽입되는 워터마크는 시각적으로 인지가 가능한 특정 로고 형태의 이진 영상을 사용하였고, 실험결과 JPEC 압축비율 $70\%$까지 $90\%$이상의 상관관계를 보였다.

In this paper, we proposed a robust watermarking algorithm based on fuzzy inference and human visual system. In the first, discrete wavelet transform(DWT) is involved to calculate additive energy strength, then we devised fuzzy inference, which was established by computing contrast and texture degree in gray-level image. Watermark is embeded into the coefficients of 3-level DWT so as to consider a spatial effects. Visual recognizable patterns such as binary image were used as a watermark Consequently, experimental results showed that proposed algorithm is robust in JPEC compression.

본 논문에서는 HVS 기반 효과적인 워터마킹 방법을 제안하였다. 인간시각시스템의 파라미터로 명암대비, 텍스쳐, 엔트로피, 그리고 표준편차 등을 사용하였고, 외부공격에 대한 각 파라미터들의 성능을 평가한다. 실험결과, 스므드한 영상의 경우 명암대비 파라미터를 사용했을 때 워터마크의 추출이 좋았고, 거친 영상은 표준편차 파라미터에 강인함을 보였다. 결론적으로 영상의 특징에 맞는 파라미터를 선택하는 것이 효과적인 워터마킹을 위해 선행처리 되어야 한다.

We proposed a method of effective watermarking based m HVS. To speak generally, HVS parameters are contrast sensitivity, texture degree, entropy sensitivity and standard of deviation, etc. The aim of this paper is evaluated by the experiments of imperceptibility and correctness of watermark. According to some experimental results, contrast sensitivity function is superior in smooth image. On the other hand, standard of deviation provides good results in rough images. Consequently, how to select the parameters considering image attribute is key problem in effective watermarking.

시각적 단어 인지는 표기 체계에 따라 다르다. 본 연구는 한국어 단어의 인지에서 형태소의 표상과 처리를 다루었다. 한국어에서의 형태소 표상과 처리에 관한 선행 연구들은, 다른 언어에서와는 달리, 형태소 점화 효과를 관찰하지 못 하였다. 본 연구는 형태소 점화 효과의 부재가 표기 반복의 억제 효과에 의해 상쇄된 것이라고 가정하고, 이를 검증하기 위해 두 개의 실험을 실시하였다. 실험 1에서는, 2음절 한자어를 표적어로 사용하고, 점화어 유형(형태소 반복, 표기 반복, 중립)과 반복 위치(동일, 상이)를 조작하였다. 어휘 판단 시간의 분석 결과, 반복 위치가 상이한 경우에 한하여 형태소 점화 효과가 유의하게 나타났다. 실험 2는 두음법칙이 적용되는 단어를 실험자극으로 하여 실험 1의 결과를 재확인하였다. 실험 1과 2의 결과는, 한국어의 시각적 인지에서 형태소 표상과 처리의 실재를 지지하였다. 본 연구의 결과와 선행연구들의 결과에 근거하여, 한자어의 인지에서 형태소의 처리에 대해서 논의하였다.

This research was conducted to investigate morphological representation and processing of words printed in Hangul. Previous studies in Korean language have produced different results from other languages―inhibitory orthographic priming effects but no significant morphological ones. To test our hypothesis that Korean morphological processing is robust but its effects are blocked by orthographic processing, we manipulated spatial positions of shared constituents in primes and targets. In Experiment 1 using the immediate repetition priming technique with bisyllabic Sino-Korean words, morphological and orthographic priming effects were found to be modulated by spatial position of shared constituents. At the different constituent positions morphological priming effects were facilitatory but orthographic ones were null; at the same constituent positions morphological priming effects were null but orthographic ones were inhibitory. Experiment 2 also confirmed the results of Experiment 1 with the bisyllabic stimuli whose onsets change due to onset restriction. Findings are discussed in terms of how morphological and orthographic information interacts in reading Sino-Korean words.

의사가 병원에서 환자를 진찰할 때 의사는 환자의 상태를 직접 확인하고 환자와의 대화를 통해 대면 진단을 한다. 그러나 의사가 환자를 직접 진료하기 어려운 경우가 많다. 최근에는 여러 유형의 원격 의료 시스템이 개발되었다. 그러나 현존하는 많은 시스템이 심장질환, 목상태, 피부상태, 귀의 내부상태 등을 관찰할 수 있는 능력이 부족하다. 이러한 문제를 해결하기 위하여 본 논문에서는 환자의 육안 검사와 청진이 가능하도록 실내에서 자율주행이 가능한 대화형 원격진료 로봇 시스템을 개발한다. 개발된 로봇은 WebRTC 플랫폼을 통해 원격 제어가 가능하도록 다관절 로봇팔을 이용해 의사의 관찰 하에 환자에게 다가가 환자의 상태를 확인할 수 있다. 환자로부터 원격으로 얻은 영상 정보, 음성 정보, 환자의 심음 및 기타 데이터를 WebRTC 플랫폼을 통해 의사에게 전송할 수 있다. 개발된 시스템은 의사가 참석할 수 없는 다양한 장소에 적용이 가능하다.

When a doctor examines a patient in a hospital, the doctor directly checks the patient's condition and conducts a face-to-face diagnosis through dialogue with the patient. However, it is often difficult for doctors to directly treat patients. Recently, several types of telemedicine systems have been developed. However, the systems have lack of capabilities to observe heart disease, neck condition, skin condition, inside ear condition, etc. To solve this problem, in this paper, an interactive telemedicine robot system with autonomous driving in a room capable of visual examination and auscultation of patients is developed. The developed robot can be controlled remotely through the WebRTC platform to move toward the patient and check a patient's condition under the doctor's observation using the multi-joint robot arm. The video information, audio information, patient's heart sound, and other data obtained remotely from patients can be transmitted to a doctor through the web RTC platform. The developed system can be applied to the various places where doctors are not possible to attend.

In this paper we present a new real-time visual servoing unit for laparoscopic surgery This unit can automatically control laparoscope manipulator through visual tracking of laparoscopic surgical tool. For the tracking, we present two-stage adaptive CONDENSATION(conditional density propagation) algorithm to extract the accurate position of the surgical tool tip from a surgical image sequence in real-time. This algorithm can be adaptable to abrupt change of laparoscope illumination. For the control, we present virtual damper system to control a laparoscope manipulator safely and stably. This system causes the laparoscope to move under constraint of the virtual dampers which are linked to the four sides of image. The visual servoing unit operates the manipulator in real-time with locating the surgical tool in the center of image. The experimental results show that the proposed visual tracking algorithm is highly robust and the controlled manipulator can present stable view with safe.

구조물의 열화 또는 손상상태 점검 시 정기적인 외관조사는 매우 중요한 역할을 담당한다. 이때 실시되는 외관조사는 주로 조사자의 스케치나 일반 카메라를 이용한 사진촬영에 의해 이루어지고 있다. 이럴 경우, 조사에 많은 노력과 시간이 소요된다. 따라서 본 연구에서는 보다 효율적이고 효과적인 조사를 위하여, 터널 외관상의 결함을 자동인식 할 수 있는 시스템을 개발하고자 한다. 이 과정에서 결함 손상인식을 위한 화상처리기술과 데이터 관리 및 분석 시스템이 중점적으로 개발 응용되었다. 이를 통해 콘크리트의 균열, 누수, 백화, 박리, 박락, 손상 등의 결함을 인식하여 데이터를 획득하고, 지속적이고 체계적인 데이터 관리시스템을 구축하여, 터널의 안전성 확보, 기능성 유지, 수명연장 등의 효과를 얻고자 한다.

When checking the state of deterioration or damage structures, regular visual inspection has very important role. At this point, a visual inspection is performed mainly by sketch or photography with a camera of inspectors. If that happens, it takes a lot of effort and time to inspect appearance damages. The purpose of this study is to develop the automatic recognition system for a more efficient and effective inspection of appearance damages. In the process, the image processing technology and the data management & analysis system for damage recognition are mainly developed and applied. This automatic recognition system enables inspectors or clients to obtain correct data that can recognize a damage, such as, crack, water leakage, efflorescence, delamination (peeling), spalling, etc. In addition, this study takes aim at the effect of secure safety, functional maintenance and extension of design lifetime according to build up continuous and systematic data management system.

A service robot is expected to be useful in indoor environment such as a hotel, a hospital and so on. However, many service robots are driven by wheels so that they cannot climb stairs to move to other floors. If the robot cannot use elevators. In this paper, the mobile manipulator system was developed, which can operate numeral buttons on the operating panel in the elevator. To perform this task, the robot is composed of an image recognition module, an ultrasonic sensor module and a manipulator. The robot can recognize numeral buttons and an end-effector in manipulator by the vision system. The Learning vector quantization (LVQ) algorithm is used to recognize the number on the button. The barcode mark on the end-effector is used to recognize the end-effector. The manipulator can push numeral buttons using informations captured by the vision system. The proposed method is evaluated by experiments.