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A Study on the Characteristics of Bad Breath in Office Workers According to Mask Selection (마스크 선택에 따른 직장인의 구취 관련 특성 연구)

  • Seo, Jeong-Cheol;Ko, Kyel;Bae, Sang-Deok;Moon, Sang-Ho;Kwon, Byong-An
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.439-446
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    • 2021
  • This study was to investigate whether there are differences in subjective bad breath-related characteristics and psychological characteristics of sports masks printed with natural minerals compared with quarantine masks and cotton masks. The study subjects were divided into 30 people in the Sports Mask Group, 30 people in the KF Mask Group (KMG), and 30 people in the cotton mask group (CMG), and a total of 90 subjects participated in the study. It was randomly sent to use 1 mask per day and 3 masks for 3 days. The study period was conducted from October 15, 2020 to October 30, 2020. As a result of the study, there was no difference in the use of masks between the three groups in terms of bad breath health and dry mouth. However, the sports mask was superior to other masks in oral respiration and bad breath angle. As a result of analyzing psychological factors, there was no difference between the 3 groups for depression. However, in the stress factor, sports masks were superior to other masks in stress. The results of this study are valuable as suggesting the direction of use of functional masks, and we hope that they will be used as basic data for functional mask research to be studied in the future.

The association of mask selection and wearing time with dry mouth and bad breath

  • Chung, Kyung-Yi;Jung, Yu Yeon
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.2
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    • pp.179-185
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    • 2022
  • The purpose of this study is to provide basic data on the negative factors of oral health in masks and the importance of oral health management according to the use of masks to prevent novel coronavirus infection (COVID-19). From May 3 to 31, 2021, 232 adults aged 20 to 59 across the country were surveyed and statistically analyzed. As for the mask selection, 63.9% of men and 61.3% of women chose the KF_94 mask for both men and women, and it was found that the older they were, the more they chose the KF_94 mask. Self-recognition of dry mouth and bad breath due to wearing a mask showed that the group wearing a cotton mask felt high dry mouth, and there was a statistically significant difference. There was a significant positive correlation between mask type, dry mouth(r=.142, p<.05), and age(r=.234, p<.01). There was a significant positive correlation between mask wearing time and age(r=.158, p<.05), and it was found to be negatively correlated according to occupation, and was statistically significant(r=-.472, p< .01). Dry mouth had a statistically significant positive correlation with bad breath(r=3.04, p<.01) and age(r=.224, p<.01).

Detecting Common Weakness Enumeration(CWE) Based on the Transfer Learning of CodeBERT Model (CodeBERT 모델의 전이 학습 기반 코드 공통 취약점 탐색)

  • Chansol Park;So Young Moon;R. Young Chul Kim
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.10
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    • pp.431-436
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    • 2023
  • Recently the incorporation of artificial intelligence approaches in the field of software engineering has been one of the big topics. In the world, there are actively studying in two directions: 1) software engineering for artificial intelligence and 2) artificial intelligence for software engineering. We attempt to apply artificial intelligence to software engineering to identify and refactor bad code module areas. To learn the patterns of bad code elements well, we must have many datasets with bad code elements labeled correctly for artificial intelligence in this task. The current problems have insufficient datasets for learning and can not guarantee the accuracy of the datasets that we collected. To solve this problem, when collecting code data, bad code data is collected only for code module areas with high-complexity, not the entire code. We propose a method for exploring common weakness enumeration by learning the collected dataset based on transfer learning of the CodeBERT model. The CodeBERT model learns the corresponding dataset more about common weakness patterns in code. With this approach, we expect to identify common weakness patterns more accurately better than one in traditional software engineering.

The Change of Traffic Accident Risk Degree by Driving Stress Coping Patterns (운전스트레스 대처방식에 따른 교통사고 위험의 변화)

  • Soon yeol Lee ;Soon chul Lee
    • Korean Journal of Culture and Social Issue
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    • v.15 no.3
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    • pp.431-446
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    • 2009
  • This study was intended to validate and develop the driving stress coping behavior scale. In a preliminary investigation, literature studies on the driving stress and open questionnaire were administered and examined in four regions in Korea. As a result, 64 items driving stress questionnaire were developed. In the study, this Driving Stress Coping Behavior Scale(DS-CBS) was examined to 372 drivers located seven regions in Korea. The factors analysis revealed 2 meaningful factors[(Good Coping: GC), (Bad Coping: BC) with 24 items. When internal consistency for each 2 factor was calculated, all sub-scale revealed a satisfactory level of Cronbach's α. Also, correlations with Driver Coping Questionnaire(DCQ) and risk driving behaviors(speed driving, drunken driving, traffic violation, offence accident, defence accident) supported consistently validity of the Driving Stress Coping Behavior Scale(DS-CBS). Also, We investigated the influences of 'Good Coping', 'Bad Coping' consisting of driving stress coping behavior, on traffic accidents risk. As a result, 'Good Coping' and 'Bad Coping' influenced traffic accidents risk. 'Good Coping' had decreased effects, the other side 'Bad Coping' had increased effects on traffic accidents risk(TARI).

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A Study on Satisfactory degree of Dental Laboratory Heads about Dental Technician Who Graduated from Junior College in Pusan (부산지역(釜山地域) 치과기공소운영자(齒科技工所運營子)의 전문대학(專門大學) 치과기공과출신(齒科技工科出身) 치과기공사(齒科技工士)에 관(關)한 만족도(滿足度) 조사(調査))

  • Lee, Myung-Kon
    • Journal of Technologic Dentistry
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    • v.10 no.1
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    • pp.55-66
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    • 1988
  • The great sudden change of circle of dental laboratory technology brought many discord between the new growing environmental group and the old group. In order to know the satisfactory degree of Dental Laboratory Heads about all and woman dental technicians who graduated from junior college, this study was conducted for 41 dental laboratory heads in Pusan area during Aug. to Sep. 1986 by means of a questionaire. The results are obtained as follows : 1. By born place, the dental laboratory heads’ satisfactory degree mean of items about all dental technician who graduated from junior college were Pusan group 3.55, Kyungnam group 2.94. The difference among the groups was significant enough(P<0.05). The satisfactory degree about woman dental technician graduated from junior college were Pusan group 3.45, Kyungnam group 2.72. 2. By age, The degree of satisfaction of items about all graduate dental technician were 30$\sim$34 age group 3.13, 40$\sim$44 age group 2.71. The degree of satisfaction about woman graduate dental technician were 30$\sim$34 age group 3.13, 40$\sim$44 age group 2.71. The degree of satisfaction about woman graduate dental technician were as follow : 35$\sim$39 age group 3.50, 45$\sim$49 age group 3.16, 30$\sim$34 age group 2.86, 40$\sim$44 age group 2.43. 3. By job career, the highest degree item out of satisfaction about all graduate dental technician was 6$\sim$10 years group 3.58, the other items were 1$\sim$15 years group 2.90, 16$\sim$20 years group 2.71. The satisfactory degree item about woman graduate dental technician was 6$\sim$10 years group 3.43, 16$\sim$20 years group 3.15, 11$\sim$15 years group 2.82 respectively. 4. By managing term of respondents’ dental laboratory, the satisfactory degree of items about all graduate dental technician were below 2 years group 3.25, 3$\sim$6 years group 3.14, 7$\sim$10 years group 2.93 in order. The satisfactory degree items about woman graduate dental technician were 11$\sim$14 years group 3.25, 3$\sim$6 years group 3.14 7$\sim$10 years group 2.80 in order. 5. By acquired qualification of licence test, the satisfactory degree of dental laboratory heads about all graduate dental technician were job career group 3.07, graduated from Dept. of Dental Technology group 3.00. The satisfactory degree about woman graduate dental technician were job career group 3.03 and graduated from Dept. of Dental Technology group 2.57. 6. By dental technician numbers of respondents’ dental laboratory. the satisfactory degree of items was as follow: 10$\sim$13 persons group is 2.86, 6$\sim$9 persons group 3.25, below 5 persons group 3.11. There was significant enough.(P<0.01). The satisfactory degree items about woman graduate dental technician were below 5 persons group is 3.00, 10$\sim$13 persons group 2.79, 6$\sim$9 persons group 2.67. 7. by the outlook of occupation, the satisfactory degree of dental laboratory heads about all dental technicians who graduated from junior college were neither good norbad group 3.20 bad group 2.59, good group 3.13. The difference among the groups was significant enough(P<0.01). The satisfactory degree about woman dental technicains graduated from junior college were good group 3.25, neither good nor bad group 2.80, bad group 2.75. The difference among the groups was significant enough.(P<0.01) 8. By occupational satisfaction, The satisfactory degree of items about all graduate dental technician were neither satisfied nor dissatisfied group 3.08, satisfied group 3.17, dissatisfied group 2.89. The satisfactional degree of items about woman graduate dental technician were satisfied group and neither satisfied mor dissatisfied group each 3.00 9. By the outlook of employment, the satisfactory degree of items about all graduate dental techician were bad group and neither good nor bad group 3.00. There was significant enough.(p<0.02) About woman graduate dental technician were good group 3.80, neither good nor bad group 3.00, bad group 2.84. The difference among the groups was significant enough.(P<0.01) 10. By cognition of the number of graduate dental technician, the satisfactory degree of dental laboratory heads about all graduate dantal technician were too many group 2.86, many group 3.32. There was significant enough.(P<0.05) About woman graduate dental techician were too many group 2.60, many group 3.20 The difference among the groups was significant enough.(P<0.01) 11. As compared with the items ut of satisfaction and improvement about all dental technician who graduated from junior college, the rate of satisfaction item was for as follow : dental technological theory is 5.21%, ability of adaptation and sincerity each 17.1%. The rate of improvement items was as follow : sincerity is 39%, ability of work and ability of basical work each 24.4%. 12. As compared with the items out of satisfaction and improvement about woman dental laboratory technician who graduated from junior college, the rate of satisfaction item was as follow : atmosphere of the office is 56.1%, sincerity 22%. The rate of improvement items was as follow : ability of adaptation is 36.6%, ability of work 31.7%.

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수정된 Karmarkar 기법과 이의 효율성

  • Jeong, Seong-Jin;Lee, Chang-Hun
    • Journal of Korean Institute of Industrial Engineers
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    • v.13 no.1
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    • pp.53-60
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    • 1987
  • Karmakar suggested two methods to transform the general linear programming into his specially structured linear programming problem. We show that there are bad cases that cause difficulties in the use of Karmakar's methods. We also develop a new transformation method which can handle those difficulties.

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A FUZZY NEURAL NETWORK-BASED DECISION OF ROAD IMAGE QUALITY FOR THE EXTRACTION OF LANE-RELATED INFORMATION

  • YI U. K.;LEE J. W.;BAEK K. R.
    • International Journal of Automotive Technology
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    • v.6 no.1
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    • pp.53-63
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    • 2005
  • We propose a fuzzy neural network (FNN) theory capable of deciding the quality of a road image prior to extracting lane-related information. The accuracy of lane-related information obtained by image processing depends on the quality of the raw images, which can be classified as good or bad according to how visible the lane marks on the images are. Enhancing the accuracy of the information by an image-processing algorithm is limited due to noise corruption which makes image processing difficult. The FNN, on the other hand, decides whether road images are good or bad with respect to the degree of noise corruption. A cumulative distribution function (CDF), a function of edge histogram, is utilized to extract input parameters from the FNN according to the fact that the shape of the CDF is deeply correlated to the road image quality. A suitability analysis shows that this deep correlation exists between the parameters and the image quality. The input pattern vector of the FNN consists of nine parameters in which eight parameters are from the CDF and one is from the intensity distribution of raw images. Experimental results showed that the proposed FNN system was quite successful. We carried out simulations with real images taken in various lighting and weather conditions, and obtained successful decision-making about $99\%$ of the time.