• Title/Summary/Keyword: Intensity score

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Analysis of Carcass Quality Grade Components and ChemicoPhysical and Sensory Traits of M. longissimus dorsi in Hanwoo (한우 도체 육질등급 요인 분석과 육질등급에 따른 이화학 및 관능 특성)

  • Lee, J.M.;Park, B.Y.;Cho, S.H.;Kim, J.H.;Yoo, Y.M.;Chae, H.S.;Choi, Y.I.
    • Journal of Animal Science and Technology
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    • v.46 no.5
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    • pp.833-840
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    • 2004
  • The current study was conducted to analysis the effects of sex and live weight on carcass characteristics using total 773 Hanwoo, and to assess the effects of quality grade on chemico-physical and sensory characteristics in longissimus muscle. Results show that both steer and cow received superior quality grade to bull within the same weight c1ass(P < 0.05). Marbling score, texture, maturity, meat color and fat color were significantly( P< 0.01) affected by sex, whilst only marbling score and maturity were significantly affected by live weight. The ultimate quality grade showed significant relationships with marbling score(r = - $0.81^{**}) meat color (r= 0.21^{**}) fat color(r = 0.10^{**}) and with texture(r = 0.41^{**})$ but that had no such a relationship with maturity. WB-shear force and cooking loss were decreased when carcass grade was increased(P < 0.01), but water-holding capacity was identical between the quality grades. Objective meat color dimensions in lightness, redness and yellowness were increased for higher quality grade(P< 0.01). Meat flavor, juiciness and tenderness received higher scores for higher quality grade(P< 0.01). Intramuscular fat content had significantly relationships with WB-shear force(r = 0.$56^*), water-holding capacity(r = 0.18^{**}), juiciness(r = 0.46^{**}), tenderness(r= 0.49^{**})$, and flavor intensity(r = 0.$34^*$). In addition, a higher WB-shear force was related to a lower flavor, tenderness and juiciness scores.

Machine Learning Based MMS Point Cloud Semantic Segmentation (머신러닝 기반 MMS Point Cloud 의미론적 분할)

  • Bae, Jaegu;Seo, Dongju;Kim, Jinsoo
    • Korean Journal of Remote Sensing
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    • v.38 no.5_3
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    • pp.939-951
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    • 2022
  • The most important factor in designing autonomous driving systems is to recognize the exact location of the vehicle within the surrounding environment. To date, various sensors and navigation systems have been used for autonomous driving systems; however, all have limitations. Therefore, the need for high-definition (HD) maps that provide high-precision infrastructure information for safe and convenient autonomous driving is increasing. HD maps are drawn using three-dimensional point cloud data acquired through a mobile mapping system (MMS). However, this process requires manual work due to the large numbers of points and drawing layers, increasing the cost and effort associated with HD mapping. The objective of this study was to improve the efficiency of HD mapping by segmenting semantic information in an MMS point cloud into six classes: roads, curbs, sidewalks, medians, lanes, and other elements. Segmentation was performed using various machine learning techniques including random forest (RF), support vector machine (SVM), k-nearest neighbor (KNN), and gradient-boosting machine (GBM), and 11 variables including geometry, color, intensity, and other road design features. MMS point cloud data for a 130-m section of a five-lane road near Minam Station in Busan, were used to evaluate the segmentation models; the average F1 scores of the models were 95.43% for RF, 92.1% for SVM, 91.05% for GBM, and 82.63% for KNN. The RF model showed the best segmentation performance, with F1 scores of 99.3%, 95.5%, 94.5%, 93.5%, and 90.1% for roads, sidewalks, curbs, medians, and lanes, respectively. The variable importance results of the RF model showed high mean decrease accuracy and mean decrease gini for XY dist. and Z dist. variables related to road design, respectively. Thus, variables related to road design contributed significantly to the segmentation of semantic information. The results of this study demonstrate the applicability of segmentation of MMS point cloud data based on machine learning, and will help to reduce the cost and effort associated with HD mapping.

Some Mental Activity Which Can be Discriminated Only on Non-linear Analysis of EEG Measure (비선형 분석을 이용한 정신활동 상태에 따른 EEG의 변화에 관한 연구)

  • Lee, J.M.;Park, C.J.;Lee, Y.R.;Shin, I.S.;Park, K.S.
    • Journal of Biomedical Engineering Research
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    • v.22 no.5
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    • pp.425-430
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    • 2001
  • The Purpose of this study was to find the way of discriminating EEG for some mental activity. which are not characterized within linear spectral analysis but with non-linear analysis . We lave investigated the way of characterizing EEG changes during emotional and cognitive states in healthy volunteered subjects who responded to three designed status. in which the subjects were relaxing with ease and eyes closed. listening to music and computing a simple subtraction with eyes closed. Especially, we estimated EEG dimensional complexity by Skinner s Point-wise correlation dimension(PD2) method for each mental states. As a result it has been found that the subjects, who responded that the\ulcorner had concentrated well during the arithmetic task. show higher PD2 in their non-linear EEG measures. in comparison with the subjects who responded that they had not concentrated during the task This highness of PD2 is also significant in statistical analysis. A subject who had the highest score in evaluating the intensity of induced emotion during emotional task shows significantly lower PD2 in statistical analysis than other subjects who had lower scores. Linear spectral analysis was also performed on these data. However, they did not show and significant difference. Only non-linear dynamical analysis shows the significant different result on these mental status.

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Psychometrics of Task Self-Efficacy Scale for Korean Elderly (노인의 일상활동수행에 대한 자기효능척도의 신뢰도 및 타당도 평가)

  • ;;;;Beverly L. Roberts
    • Journal of Korean Academy of Nursing
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    • v.27 no.4
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    • pp.831-842
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    • 1997
  • The purpose of the study was to test the reliability and validity of the Korean version of Task Self-Efficacy Scale for activities of dally living (ADL). The Task Self-Efficacy Scale was developed by Roberts(1996) for low-intensity exercise study with older people to predict their performance of ADL. The scale was translated and back translated by bilingual persons, and then was modified to resolve variations in the translations. The Korean version of Self-Efficacy Scale for ADL was then administered to 193 elderly people including 95 hospitalized patients and 98 outpatients or healthy people. Face to face interview was used to fill out the structured questionnaire, and each interview took approximately 30 minutes. The subjects for the study were 80 women and 112 men with an age range of 65 to 95 years(M=71 years) of whom 82.6% classified themselves as moderate or quite active Most subjects(80.2%) had an education level of elementary school or less. The Self-Efficacy Scale for ADL is measured on a 0 to 10 VAS, assessing three areas of ADL : self care activities, household tasks, and motor tasks. The higher the score is, the higher person's confidence in performing ADL. Psychometric testing revealed that the scale was found to be internally consistent, showing a Cronbach's alpha of .97 The scale was significantly correlated with subjects' level of activity and subjective assessment of their health status. Moderate correlation with health-related hardiness scale also supported the validity. Factor analysis was performed to confirm whether the scale represents the three sub-areas as suggested in the literature. The results of the factor analysis led to a three factor solution according to Kaiser's criterion, but the items were not strongly and cleanly loaded for the third factor. This can be explained in that, among the three sub-ADL areas of the self-efficacy scale, the areas of self care activities and household tasks seem to have similar levels of difficulty in performance with not enough differences for the self-efficacy scale to distinguish between the two areas. Therefore, one factor solution was suggested since ADL can be seen as a unit of activities at similar level of difficulty in performance. One factor solution explained 68.1% of variance of the 19-item scale and all items were correlated over .6 with the factor, showing that the selected factor solution fits the model. The results indicated that the Korean version of Task Self-Efficacy Scale for ADL was reliable and valid in producing useful information to evaluate the effects of various interventions toward promoting health and quality of life for elderly people.

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The Prevalence of Neck Disability Index among Some College Students (일부 대학생의 경부장애지수에 대한 분포)

  • Oh, Hyun-Ju;Kwon, Won-An;Kim, Dong-Dae;Lee, Jae-Hong;Um, Ki-Mae;Song, Young-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.12
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    • pp.4812-4818
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    • 2010
  • Neck pain was commonly experienced by both adolescents and adults. The neck disability index(NDI) was the most commonly used self-report measure for evaluating status in neck pain. The objective of this study is to research the prevalence of the NDI in their 20's of college students in department of physical therapy. The data were collected from the NDI questionnaire of college students(males: 229, females: 405) for functional disability measures. Statistical analysis was carried out with SPSS 12.0 program, which was used for descriptive statistics, independent samples test and Pearson correlation analysis. The results were : First, 'headache' item was showed 'the highest prevalence' in second choice demonstrating the neck disability and 'pain intensity' in third choice. Second, female(46.4%) was higher distribution than male(36.3%) on score, percentage and grade of NDI(p<0.05). Third, the NDI grade was investigated that it is composed of 'no disability(63.8%)', 'mild disability(35.4%)', and 'moderate disability(0.9%)' in male and 'no disability(53.6%)', 'mild disability(44.7%)', 'moderate disability(1.5%)' and 'severe disability(0.2%)' in female. Fourth, there was a statically significant relationship between NDI grade and NDI items(p<0.05). These results have specific meaning as future clinical and epidemiological studies. Also, it is needed to education and preparation on prevention and management of neck disability among college students.

The Prevalence Subjective Symptom of Cumulative Trauma Disorders and Related Risk Factors among Workers in Automobile Assembly Plant (자동차 조립공장 근로자의 누적외상성질환 자각증상 호소율과 관련 위험요인)

  • Kim, Chang-Sun;Kim, Kwang-Jong;Choi, Jae-wook;Yoon, Soo-Jong
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.11 no.1
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    • pp.85-91
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    • 2001
  • Background : It goes without saying that cumulative trauma disorders is spreading to various types of occupation in many advanced countries including America, and it forms considerable rate of total occupational disorders already. and as the result of it, the seriousness of worker health problem and economic loss owing to production loss, recuperation expense, etc. are on the increasing trend through whole society. In case of Korea, the related measures as well as accurate fact-finding survey data on cumulative trauma disorders aren't prepared in detail, so it implies forward problem would be serious. Purpose : The purpose of this study is to draw the risk factor of cumulative trauma disorders in production factory, to forecast the rate of occurrence of cumulative trauma disorders on the basis of subjective symptoms, and to present forward realistic and effective prevention measures by showing the risk of cumulative trauma disorders, objecting the production factory of a domestic riding automobile assembly shop, by estimating in the aspect of human-engineering through the analysis of risk factor being a cause of cumulative trauma disorders. Methods : For this study, I investigated work type and on-duty hours, breathing time, and subjective symptoms of cumulative trauma disorders through questionnaire, objecting the workers in press. car body, coating, and outfit factory. Results : As a result of research, 81.2% of workers were in the physical burden due to present working, and the highest prevalence by part of body is an waist. The higher a rule score, The higher the number of workers complaind for working intensity, and the higher age work duration, tool used time, the higher prevalence of subjective symptoms by part of body. The number of workers complaind subjective symptom for treatment is the highest in drugstore.

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Preparation and Quality Characteristics of Korean Wheat Noddles Made of Brown Glutinous Rice Flour With and Without Aroma (현미찹쌀가루와 향현미찹쌀가루를 첨가한 우리밀국수의 제조 및 품질특성)

  • Kee, Hae-Jin;Lee, Su-Tae;Park, Yang-Kyun
    • Korean Journal of Food Science and Technology
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    • v.32 no.4
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    • pp.799-805
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    • 2000
  • In order to manufacture the high-quality products as well as to promote their consumption, dry noodles were prepared with Korean wheat flour and brown glutinous rice flour with and without aroma and quality characteristics of dry noodles were investigated. The average particle size distributions of aromatic brown glutinous rice flour and brown glutinous rice flour ranged from 12.38 to $15.59\;{\mu}m$, which was different from that of control. As a result of farinograph study, water absorption of dough increased and decreased with increasing amounts of brown glutinous rice flour with and without aroma, respectively. Stability, developing time and elasticity of dough showed a decreasing tendency. When compared with the control, aromatic brown glutinous rice samples produced noodles with a greater degree of lightness and a less intensity of yellowing. Replacement of up to 20% of Korean wheat flour by aromatic brown glutinous rice flour and brown glutinous rice flour in noodle had similar cooked properties such as weight gain, volume and water absorption as compared with the control. From the result of sensory evaluation, composite flours(addition up to 30% aromatic brown glutinous rice flour and up to 20% brown glutinous rice flour) and control were rated with a relatively high quality score for appearance, taste and overall eating quality.

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The Effect of Postural Yinyang Correction of Temporomandibular Joint for Temporomandibular Disorder

  • Lee, Seung-Jeong;Ryu, Hye-Min;Kim, Su-Gyeong;Park, Eun-Jin;Lim, Jae-Eun;Lee, Young-Jun;Song, Choon-Ho;Yoon, Hyun-Min;Kim, Cheol-Hong
    • Journal of Acupuncture Research
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    • v.35 no.3
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    • pp.129-137
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    • 2018
  • Background: The purpose of this study was to determine the effect of Postural Yinyang correction of the temporomandibular joint (functional cerebrospinal therapy) on temporomandibular disorder. Methods: Medical records of 21 outpatients were reviewed who were diagnosed with temporomandibular joint disorder, unspecified (K0769) and treated at the Department of Acupuncture & Moxibustion, Dong-Eui University Korean Medicine Hospital from May $1^{st}$, 2017 to April $30^{th}$, 2018. Patients received more than 10 treatments of upper cervical manipulation and performed self-exercise therapy more than 3 times a day and wore an accurate balancing appliance in the oral cavity for more than 8 hours per day. To estimate the efficacy, visual analogue scale (VAS), numerical rating scale (NRS), maximum mouth opening (MMO), symptom intensity scale (SIS), max SIS (MSIS), symptom frequency scale (SFS), mandibular function impairment questionnaire (MFIQ) and 5-point Likert scale were used. Results: NRS and MSIS were significantly improved during each period. VAS, MMO, SIS, and SFS were significantly improved during each period, except the period from the $8^{th}$ to $10^{th}$ visit. MFIQ score was significantly improved during the period from the $1^{st}$ to $10^{th}$ visit. In the 5-point Likert scale, the results showed a high patient satisfaction with the treatment. Conclusion: These results showed that functional cerebrospinal therapy using an accurate balancing appliance, may be useful for reducing the symptoms of temporomandibular disorder.

Factors Influencing on Musculoskeletal Symptoms of Care Workers in Long-Term Care Hospitals for Job Environment, Psychological Work Demand, Fatigue (요양병원 요양보호사의 작업환경, 심리적 업무요구, 피로가 근골격계 증상에 미치는 영향)

  • Oh, Jinyoung;Ha, Yeongmi
    • Journal of Digital Convergence
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    • v.18 no.11
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    • pp.559-569
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    • 2020
  • This study was conducted to examine relationships among job environment, psychological work demand, fatigue, musculoskeletal symptoms, then to investigate the factors influencing musculoskeletal symptoms of care workers in long-term care hospitals. A total of 128 care workers recruited from three long-term care hospitals in S city. Self-reported questionnaire survey was conducted from April to May, 2020. The results were as follows: The musculoskeletal symptoms of the care workers were the sum of the frequency of symptom occurrence, duration of symptoms, and intensity of pain in the three parts of the shoulder, hand/wrist/finger, and waist. The average score was 11.41±9.50 points out of 42. According to the hierarchical regression analysis, their musculoskeletal symptoms were significantly influenced by working department(β=.18, p=.034), psychological work demand(β=.21, p=.013) and fatigue(β=.25, p=.003), explained 21.6% of the total variance(F=6.87, p<.001). Based on our results, in order to reduce musculoskeletal symptoms of care workers in nursing hospitals, it is necessary to develop and apply an intervention program that can reduce psychological work demand and fatigue in consideration of the severity of the patient in charge.

3D Visual Attention Model and its Application to No-reference Stereoscopic Video Quality Assessment (3차원 시각 주의 모델과 이를 이용한 무참조 스테레오스코픽 비디오 화질 측정 방법)

  • Kim, Donghyun;Sohn, Kwanghoon
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.4
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    • pp.110-122
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    • 2014
  • As multimedia technologies develop, three-dimensional (3D) technologies are attracting increasing attention from researchers. In particular, video quality assessment (VQA) has become a critical issue in stereoscopic image/video processing applications. Furthermore, a human visual system (HVS) could play an important role in the measurement of stereoscopic video quality, yet existing VQA methods have done little to develop a HVS for stereoscopic video. We seek to amend this by proposing a 3D visual attention (3DVA) model which simulates the HVS for stereoscopic video by combining multiple perceptual stimuli such as depth, motion, color, intensity, and orientation contrast. We utilize this 3DVA model for pooling on significant regions of very poor video quality, and we propose no-reference (NR) stereoscopic VQA (SVQA) method. We validated the proposed SVQA method using subjective test scores from our results and those reported by others. Our approach yields high correlation with the measured mean opinion score (MOS) as well as consistent performance in asymmetric coding conditions. Additionally, the 3DVA model is used to extract information for the region-of-interest (ROI). Subjective evaluations of the extracted ROI indicate that the 3DVA-based ROI extraction outperforms the other compared extraction methods using spatial or/and temporal terms.