• Title/Summary/Keyword: frontal systems

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Facial Action Unit Detection with Multilayer Fused Multi-Task and Multi-Label Deep Learning Network

  • He, Jun;Li, Dongliang;Bo, Sun;Yu, Lejun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.11
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    • pp.5546-5559
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    • 2019
  • Facial action units (AUs) have recently drawn increased attention because they can be used to recognize facial expressions. A variety of methods have been designed for frontal-view AU detection, but few have been able to handle multi-view face images. In this paper we propose a method for multi-view facial AU detection using a fused multilayer, multi-task, and multi-label deep learning network. The network can complete two tasks: AU detection and facial view detection. AU detection is a multi-label problem and facial view detection is a single-label problem. A residual network and multilayer fusion are applied to obtain more representative features. Our method is effective and performs well. The F1 score on FERA 2017 is 13.1% higher than the baseline. The facial view recognition accuracy is 0.991. This shows that our multi-task, multi-label model could achieve good performance on the two tasks.

The Analysis of Low Back Loading and Muscle Fatigue while Lifting an Asymmetric Load (비대칭무게중심을 지닌 물체 들기 작업시 허리부위 등근육 부하 및 피로 분석)

  • Han, Seung-Jo;Kim, Sun-Uk
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.2
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    • pp.30-36
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    • 2012
  • This study is aimed to show that an asymmetric load in the frontal plane leads to an increase in low back loading and fatigue in comparison with a symmetric load when workers lift an external weight by investigating previous studies and verifying the phenomenon with an experiment. Ten male subjects are required to lift and hold an given external load at 70cm height during 50sec, then the EMG amplitude and median frequency on bilateral low back muscle groups (Longissimus, Iliocostalis, and Multifidus) are recorded and analyzed. Independent variables are two-level load weight (13kg, 20kg) and three-level LCG (Center, 6.5cm to the right, and 13cm to the right), and dependent variables are EMG amplitude average, difference, and Fatigue Index (FI). Results show that load weight increases significantly amplitude average and FI, but LCG does significantly amplitude difference and FI significantly (P-value < 0.05). Also the correlation coefficient between amplitude difference and FI is over 0.99. These implies that trunk loading should be explained by not EMG amplitude but muscle fatigue aspect since the association between an external load and amplitude is linear, but the relationship between an external load and median frequency as muscle fatigue index is almost exponential.

Rotation Invariant Multiracial Face Detection (얼굴 회전에 강인한 다인종 얼굴 검출)

  • Kim, Kwang-Soo;Kim, Jin-Mo;Kwak, Soo-Yeong;Byun, Hye-Ran
    • Journal of KIISE:Software and Applications
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    • v.34 no.10
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    • pp.945-952
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    • 2007
  • The face detection is a necessary first-step in the face recognition systems, with the purpose of localizing and extracting face regions from input images. But it is not a simple problem, because faces have many variations such as scale, rotation and lighting condition. In this paper, we propose a novel method to detect not only frontal faces but also partial rotated faces in still images. Firstly, we produce the eye candidates in the sub-regions of an input image to detect rotated faces. Secondly, the eye candidates are used to measure the angles of rotated faces. Thirdly, we are able to derotate the rotated face then put it to Bayesian classifier. We make an experiment with rotated multiracial face and show the good results in this paper.

Morphology and Ecological Notes on the Larvae and Pupae of Simulium (Simulium) from Korea

  • Kim, Sam-Kyu
    • Animal Systematics, Evolution and Diversity
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    • v.31 no.4
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    • pp.209-246
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    • 2015
  • Morphological features of larvae and pupae of twelve species of Simulium (Simulium) from Korea are investigated and redescribed. Detailed descriptions of immature stages of each species are provided with photographs. For the Korean members of subgenus Simulium, combinations of the following characteristics can be used to separate them from other Korean subgenera: larval abdomen without a pair of conical-shaped ventral tubercles; postgenal cleft variously shaped, viz., miter shaped, spearhead, bullet shaped or triangular; rectal papillae 3 simple lobe or compound lobes; pupal gill of 6-16 filaments; cocoon shoe, boot or slipper shaped; and head trichomes 3 pairs (1 facial+2 frontal). Habitat information and other ecological aspects of each species are provided. Updated keys to larvae and pupae of the Korean species of the subgenus Simulium are also provided to facilitate species identification. Taxonomic treatment based on external morphologies of larvae and pupae of Korean species of the subgenus Simulium are focused and included in this study. To understand their interspecific relationships, phylogenetic analyses using multiple data from molecule, morphology, and ecology are warranted in future research. Also continued exploration for new character systems is needed to establish more stable boundaries for subgenus and species delimitations.

A Study on the Repairing Cost Down Effects of the Car Bumper Systems with Gas tube in a Low Speed Crash Test (저속충돌시험을 통한 차량용 가스튜브범퍼의 복원수리비 절감효과에 대한 연구)

  • 박인송;조휘창
    • Transactions of the Korean Society of Automotive Engineers
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    • v.11 no.2
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    • pp.182-189
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    • 2003
  • We have found that the damage of the front part for a vehicle and that of the rear part for a vehicle are the majority of frequency experienced by the traffic accidents. In conventional bumper system was designed by safety standard regulation at low speed crash. For example there are 2.5 mile and 5 mile bumper. The conventional bumper system was the crash from max 5.5 mile to 3 mile low speed occurs most frequently and results in the highest rate of repairing cost in statistically. On this study, in order to check the damageability and repairability of gas tube bumper system RCAR 15 km/h 40 % offset frontal crash test was adopted in low speed and we have a gas tube bumper parts test and vehicle test with gas tube bumper, we can find gas tube bumper system definitely can improve the damageability and repairability of the vehicles and contribute to down the repairing cost.

Identification and Phylogenetic Analysis of SINE-R Retroposon Family in cDNA Library of Human Fetal Brain

  • Yi, Joo-Mi;Shin, Kyung-Mi;Lee, Ji-Won;Paik, In-Ho;Jang, Kyung-Lib;Kim, Heui-Soo
    • Animal cells and systems
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    • v.5 no.3
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    • pp.231-236
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    • 2001
  • SINE-R retroposons have been derived from human endogenous retrovirus HERV-K family and found to be hominoid specific. Both SINE-R retroposons and HERV-K family are potentially capable of affecting the expression of closely located genes. From cDNA library of human fetal brain, we identified seven SINE-R retroposons and compared them with sequences derived from GenBank database. The SINE-R retroposons from human feta1 brain showed 85∼97% sequence similarities with the human-specific retroposon SINE-R.C2. They also showed 88∼96% sequence similarities with the sequence of the schizo-cDNA clone that derived from postmortem frontal cortex tissue of a schizophrenic patient. Phylogenetic analysis using the neiqhbor-joining method revealed that the seven new SINE-R retroposons from cDNA library of the human feta1 brain have proliferated independently during human evolution. The data indicate that such SINE-R retroposons are expressed in human fetal brain and deserve further investigation as potential leads to understanding of neuropsychiatric diseases.

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Face Recognition and Notification System for Visually Impaired People (시각장애인을 위한 얼굴 인식 및 알림 시스템)

  • Jin, Yongsik;Lee, Minho
    • IEMEK Journal of Embedded Systems and Applications
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    • v.12 no.1
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    • pp.35-41
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    • 2017
  • We propose a face recognition and notification system that can transform visual face information into tactile signals in order to help visually impaired people. The proposed system consists of a glasses type camera, a mobile computer and an electronic cane. The glasses type camera captures the frontal view of the user, and sends this image to mobile computer. The mobile computer starts to search for human's face in the image when obstacles are detected by ultrasonic sensors. In a case that human's face is detected, the mobile computer identifies detected face. At this time, Adaboost and compressive sensing are used as a detector and a classifier, respectively. After the identification procedures of the detected face, the identified face information is sent to controller attached to a cane using a Bluetooth communication. The controller generates motor control signals using Pulse Width Modulation (PWM) according to the recognized face labels. The vibration motor generates vibration patterns to inform the visually impaired person of the face recognition result. The experimental results of face recognition and notification system show that proposed system is helpful for visually impaired people by providing person identification results in front of him/her.

A Study on Development of Crash Cushion (도로 충격흡수시설의 개발에 관한 연구)

  • Choi, Ki-Jun;Kwon, Yong-Seok
    • Journal of the Korean Society of Safety
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    • v.26 no.5
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    • pp.7-12
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    • 2011
  • The crash cushion has drawn a great attention because of its versatility, efficiency and simplicity in reducing the mortality and damages from traffic accidents. However, the existing cushion systems are high priced or have limited functions. The purpose of the study was to devise an improved crash cushion which can offer higher safety compared to the available ones at present. In addition, the conformity of the cushion with the facility standards was assessed through computer simulation for collision with vehicles. The novel cushion system adopts the used tires as shock absorber, which can not only secure cushioning effect but also reduce the production cost. Moreover, it is highly durable and easy to maintain and repair the damaged parts. According to the simulation using BARRIER VII program, the novel cushion system showed PHD of 17.4 g and 10.1 g for a frontal collision and a side collision, respectively. Based on the results, it could be concluded that the novel cushion system met the test standards in the guideline for road safety facility installation and management.

A Study on the Classification of the Car Accidents Types based on the Negligence Standards of Auto Insurance (자동차보험 과실기준 기반 자동차사고유형 체계화에 관한 연구)

  • Park, Yohan;Park, Wonpil;Kim Seungki
    • Journal of Auto-vehicle Safety Association
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    • v.13 no.4
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    • pp.53-59
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    • 2021
  • According to the Korean Traffic Accident Analysis System (TAAS), more than 200,000 traffic accidents occur every year. Also, the statistics including auto insurance companies data show 1.3 million traffic accidents. In the case of TAAS, the types of traffic accidents are simply divided into four; frontal collision, side collision, rear collision, and rollover. However, more detailed information is needed to assess for advanced driver assist systems at intersections. For example, directional information is needed, such as whether the vehicle in the car accident way in a straight or a left turn, etc. This study intends to redefine the type of accident with the more clear driving direction and path by referring to the Negligence standards used in automobile insurance accidents. The standards largely divide five categories of car-to-car/motorcycle /pedestrian/cyclist, and highway, and the each category is classified into dozens of types by status of the traffic signal, conflict situations. In order to present more various accident types for auto insurance accidents, the standards are reclassified driving direction and path of vehicles from crash situations. In results, the car-to-car accidents are classified into 33 accident types, car-to-pedestrian accidents have 19 accident types, car-to-motorcycle accidents have 38 accident types, and car-to-cyclist accidents are derived into 26 types.

Smartphone-based Gait Analysis System for the Detection of Postural Imbalance in Patients with Cerebral Palsy (뇌성마비 환자의 자세 불균형 탐지를 위한 스마트폰 동영상 기반 보행 분석 시스템)

  • Yoonho Hwang;Sanghyeon Lee;Yu-Sun Min;Jong Taek Lee
    • IEMEK Journal of Embedded Systems and Applications
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    • v.18 no.2
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    • pp.41-50
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    • 2023
  • Gait analysis is an important tool in the clinical management of cerebral palsy, allowing for the assessment of condition severity, identification of potential gait abnormalities, planning and evaluation of interventions, and providing a baseline for future comparisons. However, traditional methods of gait analysis are costly and time-consuming, leading to a need for a more convenient and continuous method. This paper proposes a method for analyzing the posture of cerebral palsy patients using only smartphone videos and deep learning models, including a ResNet-based image tilt correction, AlphaPose for human pose estimation, and SmoothNet for temporal smoothing. The indicators employed in medical practice, such as the imbalance angles of shoulder and pelvis and the joint angles of spine-thighs, knees and ankles, were precisely examined. The proposed system surpassed pose estimation alone, reducing the mean absolute error for imbalance angles in frontal videos from 4.196° to 2.971° and for joint angles in sagittal videos from 5.889° to 5.442°.