• Title/Summary/Keyword: Acquired Score Data

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Development of surface detection model for dried semi-finished product of Kimbukak using deep learning (딥러닝 기반 김부각 건조 반제품 표면 검출 모델 개발)

  • Tae Hyong Kim;Ki Hyun Kwon;Ah-Na Kim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.17 no.4
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    • pp.205-212
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    • 2024
  • This study developed a deep learning model that distinguishes the front (with garnish) and the back (without garnish) surface of the dried semi-finished product (dried bukak) for screening operation before transfter the dried bukak to oil heater using robot's vacuum gripper. For deep learning model training and verification, RGB images for the front and back surfaces of 400 dry bukak that treated by data preproccessing were obtained. YOLO-v5 was used as a base structure of deep learning model. The area, surface information labeling, and data augmentation techniques were applied from the acquired image. Parameters including mAP, mIoU, accumulation, recall, decision, and F1-score were selected to evaluate the performance of the developed YOLO-v5 deep learning model-based surface detection model. The mAP and mIoU on the front surface were 0.98 and 0.96, respectively, and on the back surface, they were 1.00 and 0.95, respectively. The results of binary classification for the two front and back classes were average 98.5%, recall 98.3%, decision 98.6%, and F1-score 98.4%. As a result, the developed model can classify the surface information of the dried bukak using RGB images, and it can be used to develop a robot-automated system for the surface detection process of the dried bukak before deep frying.

Multiple Regression Analysis to Estimate the Unit Price of Hanwoo (Bos taurus coreanae) Beef

  • Eum, Seung-Hoon;Park, Hu-Rak;Seo, Jakyeom;Cho, Seong-Keun;Hur, Sun-Jin;Kim, Byeong-Woo
    • Food Science of Animal Resources
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    • v.37 no.5
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    • pp.663-669
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    • 2017
  • This study were estimated the contribution of carcass traits to unit price, to analyze the marbling score as a categorical variable rather than a numerical variable, and to develop an optimal model that also includes the holiday effect and the raising period. The data for this study were acquired from the Quality Evaluation of the Korea Institute for Animal Products, and consisted of the trading records of 1,613,699 heads at 12 wholesale markets from 2010 to 2014. The unit price of a cow was estimated from the following parameters: -52.50 Won/mm, $8.93Won/cm^2$, 7.20 Won/kg, and -1.04 Won/day for backfat thickness, eye muscle area, carcass weight, and raising period, respectively. Parameters for the dummy variables of marbling scores varied from 0 to 8328.74 Won/kg, which means that each marbling score grade had a different price value. The unit price of a steer was estimated from the following parameters: - 92.12 Won/mm, $20.22Won/cm^2$, 1.30 Won/kg, and -1.72 Won/day for backfat thickness, eye muscle area, carcass weights, and raising period, respectively. Parameters for dummy variables of marbling scores varied from 0 to 7338.80 Won/kg, which means that the grades of each marbling score had different price values. The unit price of sales during traditional holidays was significantly higher (827.71 Won/kg for cows, and 645.15 Won/kg for steers) than during non-holidays.We conclude that the use of categorical values for marbling scores would be needed to evaluate the price of Hanwoo beef using multiple regression analysis based on carcass traits and environmental factors.

Development of a deep learning-based cabbage core region detection and depth classification model (딥러닝 기반 배추 심 중심 영역 및 깊이 분류 모델 개발)

  • Ki Hyun Kwon;Jong Hyeok Roh;Ah-Na Kim;Tae Hyong Kim
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.6
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    • pp.392-399
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    • 2023
  • This paper proposes a deep learning model to determine the region and depth of cabbage cores for robotic automation of the cabbage core removal process during the kimchi manufacturing process. In addition, rather than predicting the depth of the measured cabbage, a model was presented that simultaneously detects and classifies the area by converting it into a discrete class. For deep learning model learning and verification, RGB images of the harvested cabbage 522 were obtained. The core region and depth labeling and data augmentation techniques from the acquired images was processed. MAP, IoU, acuity, sensitivity, specificity, and F1-score were selected to evaluate the performance of the proposed YOLO-v4 deep learning model-based cabbage core area detection and classification model. As a result, the mAP and IoU values were 0.97 and 0.91, respectively, and the acuity and F1-score values were 96.2% and 95.5% for depth classification, respectively. Through the results of this study, it was confirmed that the depth information of cabbage can be classified, and that it can be used in the development of a robot-automation system for the cabbage core removal process in the future.

Comparison of Moxifloxacin Monotherapy versus Cephalosporin-Azithromycin Combination Therapies for the Treatment of Community Acquired Pneumonia (원외획득폐렴 환자 치료에서 Moxifloxacin 단독요법과 Cephalosporin-Azithromycin 병용요법의 비교)

  • Cheong, Eun-Jin;Lee, Suk-Hyang
    • Korean Journal of Clinical Pharmacy
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    • v.15 no.2
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    • pp.75-81
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    • 2005
  • Community acquired pneumonia (CAP) remains a prevalent and potentially life threatening illness. American Thoracic Society and Infectious Disease Society America recommend combination therapies with ${\beta}-lactam$ plus a macrolide or a fluoroquinolone monotherapy for the empirical treatment of CAP. The aim of this study was to compare moxifloxacin monotherapy with cephalosporin plus azithromycin combination therapies. From January 2004 to March 2005, 18 patients in the moxifloxacin group(MG) and 21 patients in the cefuroxime or ceftriaxone plus azithromycin group(CAG) with CAP were retrospectively reviewed with regard to clinical, laboratory and microbiological data. Each patient was stratified into mild (risk class I-II), moderate (risk class III) and severe (risk class VI, V) group according to and PSI (Pneumonia Severity Index) score. Each group was compared for microbiological eradication, clinical assessment, the length of hospital stay. As results, Total 39 patients with CAP were reviewed. The appropriateness of admission was 83.3% in MC vs. 76.2% in CAC. The mean length of the hospital day was for 8.31 days vs. 7.39 days, days switching parenteral to oral antibiotics in 5.19 days vs. 5.28 days, clinical improvement in 2.43 days vs. 2.61 days in MG vs. CAC. Radiological improvement required 3.75 days vs 3.63 days in MG vs. CAG and bacteriological eradication rate at discharge was the same in the both groups. Mortality rate was 11.1% (2 of 18) vs 14.3% (3 of 21) in MG vs. CAG (p=0.77). Drug cost of the mean 5 hospital days requiring parenteral antibiotics was the most inexpensive in moxifloxacin group for the 147,045 won, and ceftriaxone 1g-azithromycin group for the 170,285 won, cefuroxime bid-azithromycin group for the 207,800 won, ceftriaxone 2g-azithromycin group far the 220,570 won, cefuroxime tid-azithromycin group for the 251,700 won. There was no significant statistical difference in clinical, bacterial, radiological cure and hospital days, and switch to oral days. In conclusion, that i.v. moxifloxacin monotherapy was as effective as azithromycin plus cefuroxime or ceftriaxone combination therapies fur the treatment of CAP. In drug cost analysis, moxifloxacin is less expensive than CAG.

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A Study on Field Compost Detection by Using Unmanned AerialVehicle Image and Semantic Segmentation Technique based Deep Learning (무인항공기 영상과 딥러닝 기반의 의미론적 분할 기법을 활용한 야적퇴비 탐지 연구)

  • Kim, Na-Kyeong;Park, Mi-So;Jeong, Min-Ji;Hwang, Do-Hyun;Yoon, Hong-Joo
    • Korean Journal of Remote Sensing
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    • v.37 no.3
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    • pp.367-378
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    • 2021
  • Field compost is a representative non-point pollution source for livestock. If the field compost flows into the water system due to rainfall, nutrients such as phosphorus and nitrogen contained in the field compost can adversely affect the water quality of the river. In this paper, we propose a method for detecting field compost using unmanned aerial vehicle images and deep learning-based semantic segmentation. Based on 39 ortho images acquired in the study area, about 30,000 data were obtained through data augmentation. Then, the accuracy was evaluated by applying the semantic segmentation algorithm developed based on U-net and the filtering technique of Open CV. As a result of the accuracy evaluation, the pixel accuracy was 99.97%, the precision was 83.80%, the recall rate was 60.95%, and the F1-Score was 70.57%. The low recall compared to precision is due to the underestimation of compost pixels when there is a small proportion of compost pixels at the edges of the image. After, It seems that accuracy can be improved by combining additional data sets with additional bands other than the RGB band.

Survival Factors among Medical Intensive Care Unit Patients with Carbapenemas-Producing Enterobacteriaceae (카바페넴분해효소 생성 장내세균속균종(CPE)이 획득된 내과계 중환자실 환자의 생존 영향 요인)

  • Choi, Ji Eun;Jeon, Mi Yang
    • Journal of Korean Biological Nursing Science
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    • v.22 no.4
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    • pp.249-259
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    • 2020
  • Purpose: Carbapenemase-producing Enterobacteriaceae (CPE) are associated with considerable mortality. This study was aimed to identify survival factors among medical care unit patients with CPE. Methods: We conducted a retrospective cohort; data were collected from September 2017 to June 2019 through electronic medical records. The data collected were general characteristics, disease-related characteristics, severity-related characteristics, and treatment-related characteristics. Data were analyzed based on frequency, mean, standard deviation, Chi-square test, Fisher's exact test, t-test, Pearson's correlation coefficient, and Cox proportional hazard model using SPSS/WIN 21.0 program. Results: Seventy-seven patients were included (59 survivors and 18 deceased) in the study. Univariate analysis identified factors for survival associated with acquired CPE as age (t= -1.56, p= .037), simplified acute physiology 3 (SAPS3) score of admission date (t= -2.85, p= .006), Glasgow coma scale (GCS) of CPE acquisition date (t= 2.38, p= .020), artery catheter at CPE acquisition date (χ2= 4.58, p= .032), vasoconstrictor agents use at CPE acquisition date (χ2= 6.81, p= .009), platelet at CPE acquisition date (t= 2.27, p= .025), lymphocyte at CPE acquisition date (t= 2.01, p= .048), calcium at CPE acquisition date (t= 2.68, p= .009), albumin at CPE acquisition date (t= 2.29, p= .025), and creatinine at CPE acquisition date (t= 2.24, p= .028). Multivariate Cox proportional hazard model showed that GCS at CPE acquisition date (HR= 1.14, 95% CI= 1.05-1.22), lymphocyte at CPE acquisition date (HR= 1.05, 95% CI= 1.00-1.10), and creatinine at CPE acquisition date (HR= 1.25, 95% CI= 1.04-1.49) were independent survival factors among medical intensive care unit patients with CPE. Conclusion: Based on the study results, it is necessary to develop nursing interventions that can aid in the management of patients with CPE and identify their effects.

Comparison of Computed Diffusion-Weighted Imaging b2000 and Acquired Diffusion-Weighted Imaging b2000 for Detection of Prostate Cancer (전립선암 발견을 위한 계산형 확산강조영상 b2000과 실제 획득한 b2000 영상의 비교)

  • Yeon Jung Kim;Seung Ho Kim;Tae Wook Baek;Hyungin Park;Yun-jung Lim;Hyun Kyung Jung;Joo Yeon Kim
    • Journal of the Korean Society of Radiology
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    • v.83 no.5
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    • pp.1059-1070
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    • 2022
  • Purpose To compare the sensitivity of tumor detection and inter-observer agreement between acquired diffusion-weighted imaging (aDWI) b2000 and computed DWI (cDWI) b2000 in patients with prostate cancer (PCa). Materials and Methods Eighty-eight patients diagnosed with PCa by radical prostatectomy and having undergone pre-operative 3 Tesla-MRI, including DWI (b, 0, 100, 1000, 2000 s/mm2), were included in the study. cDWI b2000 was obtained from aDWI b0, b100, and b1000. Two independent reviewers performed a review of the aDWI b2000 and cDWI b2000 images in random order at 4-week intervals. A region of interest was drawn for the largest tumor on each dataset, and a Prostate Imaging-Reporting and Data System (PI-RADS) score based on PI-RADS v2.1 was recorded. Histologic topographic maps served as the reference standard. Results The study population's Gleason scores were 6 (n = 16), 7 (n = 53), 8 (n = 9), and 9 (n = 10). According to the reviewers, the sensitivities of cDWI b2000 and aDWI b2000 showed no significant differences (for reviewer 1, both 94% [83/88]; for reviewer 2, both 90% [79/88]; p = 1.000, respectively). The kappa values of cDWI b2000 and aDWI b2000 for the PI-RADS score were 0.422 (95% confidence interval [CI], 0.240-0.603) and 0.495 (95% CI, 0.308-0.683), respectively. Conclusion cDWI b2000 showed comparable sensitivity with aDWI b2000, in addition to sustained moderate inter-observer agreement, in the detection of PCa.

The impact of nutrition literacy on the food habits among young adults in Turkey

  • Kalkan, Indrani
    • Nutrition Research and Practice
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    • v.13 no.4
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    • pp.352-357
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    • 2019
  • BACKGROUND/OBJECTIVES: Youth is the crucial stage between childhood and adulthood during which an individual acquires new behavior and practices including dietary habits, that may be influenced by his peers, social circle, nutrition knowledge level and other factors. The increase in awareness of young adults is of special importance from the perspective of health and prevention of obesity related chronic diseases. To measure the nutrition literacy level of university students using the Turkish version of Adolescent Nutrition Literacy Scale (ANLS). We evaluated their food habits using the Adolescent Food Habit Checklist (AFHC) tool and analysed it, if the eating habits were affected by nutrition literacy level. SUBJECTS/METHODS: A cross-sectional descriptive study was conducted on randomly selected 276 students studying in the Faculty of Health Sciences of Istanbul Aydin University, Turkey. Data was collected by means of ANLS and AFHC tools by face to face interview method. SPSS statistical sofware (IBM SPSS Statistics 19) was used to analyse the obtained data. RESULTS: Participants comprised of 47.1% males and 52.9% females with mean age of $20.0{\pm}1.60years$. Mean body mass index (BMI) was determined as $22.4{\pm}3.76$ ($23.6{\pm}3.63$ males $21.3{\pm}3.57$ females). Functional, interactive and critical nutritional literacy scores for male participants were $22.49{\pm}5.71$, $17.45{\pm}4.84$, and $28.28{\pm}7.13$ respectively (total $64.98{\pm}10.15$). For females the values were $24.66{\pm}5.13$, $20.17{\pm}4.28$, and $32.20{\pm}5.65$ (total $69.72{\pm}8.59$) respectively. For all the three sub-categories of nutrition literacy, the scores acquired by females were significantly higher than males (P < 0.001). In the AFHC tool, the mean score acquired by males were $9.26{\pm}4.18$ whereas for females it was $10.37{\pm}3.40$ significantly higher as compared to males (P = 0.007). CONCLUSION: The food habits of female participants were better than males; in accordance with their nutrition literacy status. It may be concluded that food habits are influenced by nutrition literacy and therefore stress much be given to increase the nutrition awareness among children youth as well as adults.

Knowledge and Attitude toward HIV/AIDS among Professional Graduate Medical School Students (의학전문대학원 학생들의 HIV/AIDS 관련 지식 및 태도)

  • Seo, Myoung Hee;Jeong, Seok Hee;Shin, Ja Hyun;Lee, Myung In
    • Journal of Digital Convergence
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    • v.13 no.11
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    • pp.255-265
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    • 2015
  • This study was done to identify the levels of knowledge and attitude toward HIV/AIDS in professional graduate medical school students. A cross-sectional survey was used, and data were collected in 2014. Participants were 97 students in South Korea. Data were analyzed using SPSS WIN 19.0 program. The mean score for HIV/AIDS knowledge was 8.91 and attitude was 7.00 out of 15. The levels of HIV/AIDS knowledge and attitude were not statistically significantly different according to participants' general characteristics. There was a statistically significant correlation between the levels of HIV/AIDS knowledge and attitude. Medical students having a high HIV/AIDS knowledge level tended more towards a positive attitude. These findings can be used in developing effective education strategies for medical students and health care providers to increase knowledge and decrease negative attitude toward HIV/AIDS.

A Study on Nurses' Ability to Perform Endotracheal Suction (중환자실 간호사의 기관내 흡인 실태)

  • Park Hyun-Ju;Choi Young-A;Kim Kyoung-Mi
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.8 no.3
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    • pp.379-390
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    • 2001
  • The purpose of this study was to survey the ability of nurses to perform endotracheal suction to provide basic data on correct endotracheal suction. The participants in this study were 181 intensive care unit nurses in two university hospitals and one general hospital located in Daegu, one university hospital and two general hospitals located in Pohang, one university hospital located in Gyeongju. These data were collected from February 1, 2001 to March 10, 2001 using self reported questionnaires. The study instrument, which was developed by these investigators, included questions on general characteristics and performance of endotracheal suction. The results of this study are as follows : 1. Of the Participants 71.3% recognized correct endotracheal suctioning and 23.2% did not. 2. The greatest number, 57.5%, acquired knowledge about endotracheal suctioning at conferences on practice or education for staff. 3 There were significant differences in scores on performance of endotracheal suction according to department (F=2.60, P=.05) and hospitals (F=3.24, p=.01) among the general characteristics. 4. Slightly less than half of the participants, 47.8%, averaged correct scores for endotracheal suctioning procedures. Ventilator $O_2$ supply had the highest score (84.0%), normal saline exchange time, the lowest (14.4%) From the results, we suggest that education is needed to increase the knowledge and correct performance of endotracheal suction. Further study including direct observation of Performance of endotracheal suction is also needed.

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