• Title/Summary/Keyword: Daily Work Task

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Musculoskeletal Disorder Symptom Factors and Control Strategies in General Hospital Nurses (종합병원 간호사의 근골격계질환 증상요인 및 관리방안)

  • Park, Jung-Keun
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.24 no.3
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    • pp.371-382
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    • 2014
  • Objectives: This study was undertaken in order to examine how musculoskeletal disorder(MSD) symptoms were affected by particular factors and then to explore control strategies to prevent MSDs in general hospital nurses. Materials: This, as part of a large study, was conducted using a set of information on literature review, questionnaire survey and focus group interview. It obtained prevalence and factors of MSD symptoms and examined how MSD symptoms were distributed and affected by the factors in nurses working at 15 general hospitals across Korea. The factors were personal factors, work organization, nursing tasks, physical factors and psychosocial factors. Results: A total of 501 nurses were determined as subjects. The highest MSD symptom prevalence was 61% for the shoulder, among body parts, followed by leg/feet(55%), low back(51%), neck(42%), wrist(38%), and elbow(21%). Prevalence for the whole body was 80%. Odds ratios ranged from 0.4 to 22.4 in logistic regression analyses. The symptoms were significantly attributed to factor variables such as body mass index, current health status, daily work time, nursing task, pooled-physical factors, ergonomic factors, work load, interpersonal conflict, and job insecurity. Conclusions: Two or more factor variables were significant, depending on body part, for MSD systems in the general hospital nurses. It was noticeable that physical factors, such as pooled-physical factors, ergonomic factors or work load, were selectively significant for MSD symptoms in all body parts, indicating that such information should be used for prevention of MSDs in the hospital sector.

Collection and Utilization of the Construction Labor Information Using PDA and Barcode (PDA 및 바코드 기술을 이용한 건설 노무정보의 수집 및 활용)

  • Oh Se-Wook;Kim Young-Suk;Lee Jun-Bok;Kim Han-Soo
    • Korean Journal of Construction Engineering and Management
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    • v.5 no.5 s.21
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    • pp.65-75
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    • 2004
  • Labor management has been considered as an important task in construction industry. However, labor management has not yet been systematically performed because of the wide variety of factors of construction industry such as the field work, the complexity of the work process, the daily employment. Most of the present labor managements are performed to collect the information of the number of labors input during the work period, and to calculate labor cost. The information of activities performed by labors can be effectively used to analyze project status related to schedule, cost and productivity, but the present labor management systems are not based on the activities. The main objective of this research is to develop a labor information management system using IT tools in order to measure the number of labors input on the activities, and to convert the labor information into productivity data. It is anticipated that the effective use of the developed system would be able to effectively assist the scheduling and cost management of a project.

A Study on the Factors which Influenced the Performance of Urban Family Planning Health Personnels' Function - Around the FP health personnels in the Seoul metropolitan city- (도시 가족계획요원의 직무수행에 영향을 미치는 요인에 관한 연구 -서울특별시 동단위 가족계획카드관리요원을 중심으로-)

  • Lee, Myoung-Sook;Moon, Hyung-Wha
    • Journal of Korean Public Health Nursing
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    • v.3 no.2
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    • pp.143-156
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    • 1989
  • This study was done in order to analyze the factors which influenced the performance level of urban family planning health personnels' task. Interview survey was done during the period May, 1989. Interviewee were 130 family planning health personnels among total of 140 family planning health personnels in Seoul metropolitan city area. The internal consistency reliability was tested by Cronbach’s Alpha and the construct validity of the survey tool was tested by Factor analysis. Multiple stepwise regression analysis was used to identify major factors influenced to perform family planning health personnels' task. The results of this study were summarized as follows: 1. The internal consistency reliability was high and very significant (Cronbach's Alphs=0.8445, p<0.0000). 2. The construct validity was high and very significant. This analysis was contained 5 factors; registering and keeping of eligible woman records, health educating for FP & MCH, referral for vasectomy and tubal ligation and loop, supplying contraceptive appliances, sending moved-out eligible woman records. 3. Among a total of 15 contents of their functions recording of daily report and monthly report (76.2%), classifying and keeping of records(66.2%), registering of eligible woman records(60.85ti), distribution of leaflets and pamplets(54.6%), counselling & supervision about family planning(53.8%) were actively performed. Sending moved-out eligible woman records(60.8%), health education for community people(49.2%), referring contraceptors' side-effects were poorly performed. 4. The factors which influenced the performance level of urban family planning health personnels' function were age, marital status, educational level, certification, number of residents, number of eligible women, job car-eer, work responsibility, job satisfaction knowledge, position, cooperation of community people, cooperation of Dong Office, cooperation of Health Center. These 14 variables were able to explain job function from 21.4% of follow-up care of contraceptor to 9.1% of classifying & keeping of eligible woman records.

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The Results of the Application of a Real-time Chemical Exposure Monitoring System in a Workplace (스마트 센서 세트를 활용한 화학물질 상시모니터링 시스템의 작업현장 적용 결과)

  • Wook Kim;Jangjin Ryoo;Jongdeok Jung;Gwihyun Park;Giyeong Kim;Jinju Kang;Kihyo Jung;Seunghon Ham
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.33 no.2
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    • pp.215-229
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    • 2023
  • Objectives: To validate the effectiveness of a real-time chemical exposure monitoring system developed by KOSHA (Korea Occupational Safety and Health Agency), we applied the system to a workplace in the electronics industry for 153 days. Methods: The monitoring system consisted of a PID chemical sensor, a LTE communication equipment, and a web-based platform. To monitor chemical exposure, four sets of sensors were placed in two manufacturing tasks - inspection and jig cleaning - which used TCE as a degreasing agent. We reviewed previous reports of work environment measurements and conducted a new work environment measurement on one day during the period. The PID sensor systems detected the chemical exposure levels in the workplace every second and transmitted it to the platform. Daily average and maximum chemical exposure levels were also recorded. Results: We compared the results from the real-time monitoring system and the work environment measurement by traditional methods. Generally, the data from the real-time monitoring system showed a higher level because the sensors were closer to the chemical source. We found that 28% of jig cleaning task data exceeded the STEL. Peak exposure levels of sensor data were useful for understanding the characteristics of the task's chemical use. Limitations and implications were reviewed for the adoption of the system for preventing poisoning caused by chemical substances. Conclusions: We found that the real-time chemical exposure monitoring system was an efficient tool for preventing occupational diseases caused by chemical exposure, such as acute poisoning. Further research is needed to improve the reliability and applicability of the system. We also believe that forming a social consensus around the system is essential.

Detecting User Activities with the Accelerometer on Android Smartphones

  • Wang, Xingfeng;Kim, Heecheol
    • Journal of Multimedia Information System
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    • v.2 no.2
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    • pp.233-240
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    • 2015
  • Mobile devices are becoming increasingly sophisticated and the latest generation of smartphones now incorporates many diverse and powerful sensors. These sensors include acceleration sensor, magnetic field sensor, light sensor, proximity sensor, gyroscope sensor, pressure sensor, rotation vector sensor, gravity sensor and orientation sensor. The availability of these sensors in mass-marketed communication devices creates exciting new opportunities for data mining and data mining applications. In this paper, we describe and evaluate a system that uses phone-based accelerometers to perform activity recognition, a task which involves identifying the physical activity that a user is performing. To implement our system, we collected labeled accelerometer data from 10 users as they performed daily activities such as "phone detached", "idle", "walking", "running", and "jumping", and then aggregated this time series data into examples that summarize the user activity 5-minute intervals. We then used the resulting training data to induce a predictive model for activity recognition. This work is significant because the activity recognition model permits us to gain useful knowledge about the habits of millions of users-just by having them carry cell phones in their pockets.

LoGos: Internet-Explorer-Based Malicious Webpage Detection

  • Kim, Sungjin;Kim, Sungkyu;Kim, Dohoon
    • ETRI Journal
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    • v.39 no.3
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    • pp.406-416
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    • 2017
  • Malware propagated via the World Wide Web is one of the most dangerous tools in the realm of cyber-attacks. Its methodologies are effective, relatively easy to use, and are developing constantly in an unexpected manner. As a result, rapidly detecting malware propagation websites from a myriad of webpages is a difficult task. In this paper, we present LoGos, an automated high-interaction dynamic analyzer optimized for a browser-based Windows virtual machine environment. LoGos utilizes Internet Explorer injection and API hooks, and scrutinizes malicious behaviors such as new network connections, unused open ports, registry modifications, and file creation. Based on the obtained results, LoGos can determine the maliciousness level. This model forms a very lightweight system. Thus, it is approximately 10 to 18 times faster than systems proposed in previous work. In addition, it provides high detection rates that are equal to those of state-of-the-art tools. LoGos is a closed tool that can detect an extensive array of malicious webpages. We prove the efficiency and effectiveness of the tool by analyzing almost 0.36 M domains and 3.2 M webpages on a daily basis.

Analysis of the Effect on Attention and Relaxation Level by Correlated Color Temperature and Illuminance of LED Lighting using EEG Signal (뇌파 분석을 통한 LED조명의 색온도와 조도가 집중도와 이완도에 미치는 영향 분석)

  • Shin, Ji-Yea;Chun, Sung-Yong;Lee, Chan-Su
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.27 no.5
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    • pp.9-17
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    • 2013
  • Preferred combinations of illuminance and color temperature of lighting depend on daily living activities. We investigated whether the illumination stimuli of LED lighting can enhance attention and relaxation level by controlling color temperature and illuminance level according to activities. Illuminations and color temperatures of LED flat panels are controlled in accordance with activities such as office work and resting. The attention and relaxation level under the task specific lightings are compared with those under normal lighting condition. Single channel EEG signals from the NeuroSky's Mindset are used to estimate attention and relaxation level of human subjects under different lighting conditions. Experiment results show that high color temperature with high illuminance of LED lightings (6600K, 800lx) shows improved attention level compared with conventional lighting conditions (4000K, 500lx).

Study on the influence of Alpha wave music on working memory based on EEG

  • Xu, Xin;Sun, Jiawen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.2
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    • pp.467-479
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    • 2022
  • Working memory (WM), which plays a vital role in daily activities, is a memory system that temporarily stores and processes information when people are engaged in complex cognitive activities. The influence of music on WM has been widely studied. In this work, we conducted a series of n-back memory experiments with different task difficulties and multiple trials on 14 subjects under the condition of no music and Alpha wave leading music. The analysis of behavioral data show that the change of music condition has significant effect on the accuracy and time of memory reaction (p<0.01), both of which are improved after the stimulation of Alpha wave music. Behavioral results also suggest that short-term training has no significant impact on working memory. In the further analysis of electrophysiology (EEG) data recorded in the experiment, auto-regressive (AR) model is employed to extract features, after which an average classification accuracy of 82.9% is achieved with support vector machine (SVM) classifier in distinguishing between before and after WM enhancement. The above findings indicate that Alpha wave leading music can improve WM, and the combination of AR model and SVM classifier is effective in detecting the brain activity changes resulting from music stimulation.

A Study on Estimating Time for PRD (Percussion Rotary Drill) Piling Work (도심지 토공사 PRD (Percussion Rotary Drill) 공법의 천공작업 소요시간 산정 방안에 관한 연구)

  • Kim, Yong-Gyu;Choi, Chang-Hoon;Han, Choong-Hee;Lee, Junbok
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.3
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    • pp.3-10
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    • 2018
  • In recent years, mechanized construction has become commonplace due to increases in the scale and complexity of construction, and construction machinery is a major factor in successful construction. However, even though the proportion of construction machinery is increasing, analysis of the work capacity of construction machinery is inadequate. In addition, since the standards for all construction machines are currently not defined in quantity-per-unit, the construction period is arbitrarily applied according to the operator at the time of the construction plan. As a result, the construction period of the actual construction is insufficient, and rushed work or construction delays occur. Therefore, in this study, in order to calculate the construction period of the piling work of the pile driver used in the PRD method more accurately than the existing method, the formula for calculating the time required for the piling work of the pile driver was established by collecting piling time data from the daily task reports through the field survey. If the precise construction period of piling work is estimated based on the results of this study, it will be possible to prevent the rushed work and construction delays that occur due to the short construction period.

Awareness of the Job Task Importance and Performance of Occupational Therapists in the Elderly Community Care System (노인 커뮤니티케어제도 내 작업치료사의 업무중요도와 수행에 대한 인식)

  • Hong, So-Young
    • The Journal of Korean society of community based occupational therapy
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    • v.9 no.3
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    • pp.11-19
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    • 2019
  • Objective : The purpose of this study was to investigate the awareness of job task importance and performance of occupational therapists in the community care system for the elderly. Methods : We conducted an online questionnaire survey of 152 occupational therapists nationwide from May 31, to June 24, 2019. General characteristics and institutional awareness, role and performance awareness were analyzed by descriptive statistics. One way ANOVA were conducted to compare the differences of working days, working places, and the field of work. Results : The recognition of the community care system for the elderly was low at 2.93 ± 1.0 but the importance of the community care system was 3.94 ± 0.7 and the importance of the occupational therapist in the system was 4.34 ± 0.7. Fall prevention (4.63 ± 0.7) was the most important in occupational therapist's jobs, and performance was high in instrumental activity daily living training (3.94 ± 0.8) and physical function training (3.94 ± 0.8). Conclusion : This study can be presented as basic data on job task importance and performance awareness of occupational therapists in the elderly community care system. In addition, it is expected to be used as basic data for establishing the role of occupational therapist in the elderly community care system.