• English Language & Literature Teaching
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• v.18 no.2
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• pp.45-66
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• 2012

The purpose of this study was to investigate the impact of two different SNS-based tasks on university students' English writing performance. To address our primary research question, Me2day, microblogging and Social Networking Service, was employed. 43 university students were divided into two experimental groups depending on the task types: a comparison task group and a sharing personal experiences task group. The main findings of the study were as follows: first, two different types of SNS-based tasks, 'spot the differences' and 'writing diaries', had a positive effect on learners' writing performance. The reason for this was that the succinct messages limited to 150 characters made it easier for the students to try writing in English without burden; and they may benefit from their peers by seeing their posts and interacting with each other. Yet there were no significant differences between the two groups when it came to the degree of improvement. Second, two different types of SNS-based tasks differently fostered certain aspects of the writing performance; 'contents knowledge' was supported by the 'writing diaries' task and range was supported by the 'spot the differences' task. Third, learners in the two experimental groups mostly had positive impressions regarding usage of Me2day as a new learning tool.

• Journal of muscle and joint health
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• v.21 no.2
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• pp.153-163
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• 2014

Purpose: This study was to analyze the job of coordinators working in the regional cardiocerebrovascular center. Methods: Using Developing a Curriculum (DACUM) method, the role of coordinators was defined and their duties and tasks were identified. The developed duties and tasks were classified and validated according to importance, difficulty, and frequency of the job. Results: A coordinator is defined as a clinical nurse specialist affiliated in a cardiocerebrovascular center. The coordinator is responsible for managing the major critical pathway to provide adequate medical service and providing education to the patient with myocardial infarction and cerebrovascular attack admitted via emergency room for prevention and management of disease. Ten duties and sixty-nine tasks were identified on the DACUM chart which represented the importance, difficulty, and frequency of tasks showed as A, B, C respectively. Based on determinant coefficient of the task, the highest ranked task was 'analysis for variation of CP' and the lowest was'investing the articles in stock'. Conclusion: The results of study showed that coordinators were doing various duties and tasks and they felt burden from their work and were in confusion. The results of this study can be used to develop training programs for coordinators and evaluation-scale of the coordinators' job performance as the basic data.

• Journal of the Ergonomics Society of Korea
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• v.26 no.3
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• pp.91-100
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• 2007

The purposes of this research are to survey work-related risk factors of musculoskeletal disorders(MSDs) in various departments and tasks at general hospitals in non-manufacturing sectors, and to use basic data derived from the survey results in preventing work-related MSDs in hospital workers. Investigation started in March of 2006 and continued for 6 months in 220 general hospitals at Seoul, Incheon, Kyeongi, and Kangwon area. Investigators visited and interviewed workers in hospitals to identify the presence of tasks of musculoskeletal burden, the investigation results of ergonomic risk factors required by the Occupational Safety and Health Law, statistical analysis from questionnaire for musculoskeletal symptoms, and major departments and tasks that have such risk factors. Twenty-seven percents of hospitals finished the investigation of ergonomic risk factors, and 69% did not do the investigation while remained 4% did not have such factors in their hospitals. The rank order of major departments that had such musculoskeletal burdens was kitchen rooms of 143, managing departments/computer rooms/dispensaries of 137, physical treatment rooms of 109, nursing departments of 96, radiological and clinical laboratories of 63. Eighteen hospitals that did not hold legal duties by the section 148 of labor minister decree practiced prevention programs of MSDs according to the labor-management cooperation. Nursing departments ranked in the first place for the numbers of musculoskeletal symptoms of 438. Managing departments/computer rooms/dispensaries, kitchen rooms, and medical treatment departments held 127, 52 and 45 symptoms, respectively. The magnitude order of physical symptom areas followed shoulder of 185, backs and waist of 166, hand wrists of 120, necks of 110, and legs/feet of 106. The departments and jobs that had major work-related ergonomic risks were patient transporting, central supplying, patient nursing (moving patients into wheel-chairs, changing of patient posture and sheet alteration), manual transporting, operation, and managing/computer departments.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.233-252
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• 2015

The purpose of this study is to analyze inquiry tasks of textbooks in middle schools social studies under the information literacy process and find out teacher librarians' educational information service on the side of information literacy education. Results of the analysis show that middle school students who carry out the inquiry tasks of social studies should select sources, seek its' related information and create their products through writing reports or presentation. Compared with information literacy process of the "Library and Information Skills", the First step of task definition and figuring out information needs and the Third step of representation of information are being implemented. For this reason, teacher librarian could reduce social studies teachers' burden of class and promote students' inquiry activities by teaching skills of suitable materials seeking strategies for solving their task, understanding and synthesizing the information and evaluating their process and result. Therefore, it is necessary to activate collaborative teaching between the teacher librarian and the social studies teacher based on the information literacy.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.27 no.4
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• pp.371-379
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• 2017

Objectives: The purpose of this study is to investigate the differences and the influencing factors of health habits such as smoking, drinking, and exercise on job stress among IT workers. Methods: A questionnaire was distributed to total of 300 people (30 persons per business place) at 10 IT work sites performing computer and information system tasks, and 275 data points were analyzed. The survey items were general characteristics, occupational characteristics, employment type, physical burden, amount of drinking, smoking, exercise, and job stress. Results: The results of this study are summarized as follows. First, non-regular workers showed higher smoking, exercise, and job stress than did regular workers by employment type, but exercise was not significant. Regular workers had a higher rate of drinking than non-regular workers. Second, the factors affecting alcohol drinking were gender and age, and factors affecting smoking were gender and employment type. Third, factors affecting job stress were annual income, long working hours, physical burden, and employment type. Conclusions: It is necessary to consider employment patterns in smoking, drinking, and job stress management. In addition, it is necessary to deeply analyze what affects the health behaviors and job stress of IT workers and explore ways to mitigate them.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.26 no.2
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• pp.223-229
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• 2017

Recently, robotic bin-picking tasks have drawn considerable attention, because flexibility is required in robotic assembly tasks. Generally, stereo camera systems have been used widely for robotic bin-picking, but these have two limitations: First, computational burden for solving correspondence problem on stereo images increases calculation time. Second, errors in image processing and camera calibration reduce accuracy. Moreover, the errors in robot kinematic parameters directly affect robot gripping. In this paper, we propose a method of correcting the bin-picking error by using trinocular vision system which consists of two stereo cameras andone hand-eye camera. First, the two stereo cameras, with wide viewing angle, measure object's pose roughly. Then, the 3rd hand-eye camera approaches the object, and corrects the previous measurement of the stereo camera system. Experimental results show usefulness of the proposed method.

• Nuclear Engineering and Technology
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• v.55 no.9
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• pp.3277-3290
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• 2023

Nuclear power plant (NPP) operations with multiple objectives and devices are still performed manually by operators despite the potential for human error. These operations could be automated to reduce the burden on operators; however, classical approaches may not be suitable for these multi-objective tasks. An alternative approach is deep reinforcement learning (DRL), which has been successful in automating various complex tasks and has been applied in automation of certain operations in NPPs. But despite the recent progress, previous studies using DRL for NPP operations have limitations to handle complex multi-objective operations with multiple devices efficiently. This study proposes a novel DRL-based approach that addresses these limitations by employing a continuous action space and straightforward binary rewards supported by the adoption of a soft actor-critic and hindsight experience replay. The feasibility of the proposed approach was evaluated for controlling the pressure and volume of the reactor coolant while heating the coolant during NPP startup. The results show that the proposed approach can train the agent with a proper strategy for effectively achieving multiple objectives through the control of multiple devices. Moreover, hands-on testing results demonstrate that the trained agent is capable of handling untrained objectives, such as cooldown, with substantial success.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.4
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• pp.1100-1122
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• 2023

Scheduling user-submitted cloud tasks to the appropriate virtual machine (VM) in cloud computing is critical for cloud providers. However, as the demand for cloud resources from user tasks continues to grow, current evolutionary algorithms (EAs) cannot satisfy the optimal solution of large-scale cloud task scheduling problems. In this paper, we first construct a large- scale multi-objective cloud task problem considering the time and cost functions. Second, a multi-objective optimization algorithm based on multi-factor optimization (MFO) is proposed to solve the established problem. This algorithm solves by decomposing the large-scale optimization problem into multiple optimization subproblems. This reduces the computational burden of the algorithm. Later, the introduction of the MFO strategy provides the algorithm with a parallel evolutionary paradigm for multiple subpopulations of implicit knowledge transfer. Finally, simulation experiments and comparisons are performed on a large-scale task scheduling test set on the CloudSim platform. Experimental results show that our algorithm can obtain the best scheduling solution while maintaining good results of the objective function compared with other optimization algorithms.

• Journal of the Korean Society of Safety
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• v.29 no.1
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• pp.47-53
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• 2014

The application of advanced Main Control Room(MCR) is accompanied with lots of changes and different forms and features through the virtue of new digital technologies. The characteristics of these digital technologies and devices give many opportunities to the interface management, and can be integrated into a compact single workstation in advanced MCR so that workers can operate the plant with minimum physical burden under any operation conditions. However, these devices may introduce new types of human errors and thus a means to evaluate and prevent such errors is needed, especially those related to characteristics of digital devices. This paper reviewed the new type of human error hazards of tasks based on digital devices and surveyed researches on physiological assessment related to human error. An experiment was performed to verify human error hazards by physiological responses such as EEG which was measured to evaluate the cognitive workload of operators. And also, the performances of four tasks which are representative in human error hazard tasks based on digital devices were compared. Response time, ${\beta}$ power spectrum rate of each task by EEG, and mental workload by NASA-TLX were evaluated. In the results of the experiment, the rate of the ${\beta}$ power was increased in the task 1 and task 4 which are searching and navigating task and memory task of hierarchical information, respectively. In case of the mental workload, in most of evaluation items, task 1 and 4 were highly rated comparatively. In this paper, human error hazards might be identified by highly cognitive workload. Conclusively, it was concluded that the predictive method which is utilized in this paper and an experimental verification can be used to ensure the safety when applying the digital devices in Nuclear Power Plants (NPPs).

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.147-151
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• 1991

In this paper a time-optimal path planning scheme for the multiple robot manipulators will be proposed by using hopfield neural network. The time-optimal path planning, which can allow multiple robot system to perform the demanded tasks with a minimum execution time and collision avoidance, may be of consequence to improve the productivity. But most of the methods proposed till now suffers from a significant computational burden and thus limits the on-line application. One way to avoid such a difficulty is to rearrange the problem as MTSP(Multiple Travelling Salesmen Problem) and then apply the Hopfield network technique, which can allow the parallel computation, to the minimum time problem. This paper proposes an approach for solving the time-optimal path planning of the multiple robots by using Hopfield neural network. The effectiveness of the proposed method is demonstrated by computer simulation.