• Journal of the Korean Society of Physical Medicine
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• v.12 no.3
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• pp.105-109
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• 2017

PURPOSE: The purpose of this study was to investigate the effect of ankle dual task including motor training on the static balance, dynamic balance in the elderly. METHODS: 30 elderly people were randomly divided into 3 groups: 10 people in the single motor task group, 10 people in the double motor dual task group and 10 people in the motor-cognitive dual task group. In the double motor dual tasks group was performed ankle balance motor task additional motor task. Motor-cognitive dual task group was performed ankle balance motor task additional cognitive task. Single motor task group was performed ankle balance motor task. It was performed three times intervention a week for six weeks. Statistical analysis method was performed using one way ANOVA for comparison between groups, and the paired t-test was used for comparison pre and post intervention. RESULTS: Static and dynamic balance were significant differences between pre and post intervention by three groups (p<.05). In static balance, there was a significant difference among groups (p<.05), but there was not a significant difference between groups in dynamic balance (p>.05). CONCLUSION: The results of the research, the ankle balance dual task including motor or cognitive task was more effective than single motor task on static balance in the elderly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.3
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• pp.1265-1278
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• 2017

Dynamic task scheduling is one of the most popular research topics in the cloud computing field. The cloud scheduler dynamically provides VM resources to variable cloud tasks with different scheduling strategies in cloud computing. In this study, we utilized a valid model to describe the dynamic changes of both computing facilities (such as hardware updating) and request task queuing. We built a novel approach called Policy Iteration Scheduling (PIS) to globally optimize the independent task scheduling scheme and minimize the total execution time of priority tasks. We performed experiments with randomly generated cloud task sets and varied the performance of VM resources using Poisson distributions. The results show that PIS outperforms other popular schedulers in a typical cloud computing environment.

• Journal of Computing Science and Engineering
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• v.4 no.3
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• pp.189-206
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• 2010

It is generally accepted that dynamic voltage scaling (DVS) is one of the most effective techniques of energy minimization for real-time applications in embedded system design. The effectiveness comes from the fact that the amount of energy consumption is quadractically proportional to the voltage applied to the processor. The penalty is the execution delay, which is linearly and inversely proportional to the voltage. According to the granularity of tasks to which voltage scaling is applied, the DVS problem is divided into two subproblems: inter-task DVS problem, in which the determination of the voltage is carried out on a task-by-task basis and the voltage assigned to the task is unchanged during the whole execution of the task, and intra-task DVS problem, in which the operating voltage of a task is dynamically adjusted according to the execution behavior to reflect the changes of the required number of cycles to finish the task before the deadline. Frequent voltage transitions may cause an adverse effect on energy minimization due to the increase of the overhead of transition time and energy. In addition, DVS needs to be carefully applied so that the dynamically varying chip temperature should not exceed a certain threshold because a drastic increase of chip temperature is highly likely to cause system function failure. This paper reviews representative works on the theoretical solutions to DVS problems regarding inter-task DVS, intra-task DVS, voltage transition, and thermal-aware DVS.

• Physical Therapy Korea
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• v.19 no.3
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• pp.61-71
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• 2012

In daily activities, people often perform two or more tasks simultaneously. This is referred to as dual-tasking or multi-tasking. The purpose of this study was to examine the effects of performing dual tasks while using a mobile phone on static and dynamic postural stability. Twenty-four subjects were asked to stand on a force plate and then instructed to perform a balance task only (BT), a balance task while listening to music (BTL), a balance task while talking on the mobile phone (BTT), and a balance task while sending text messages (BTS). We used the BioRescue$^{(R)}$ to measure postural sway and limit of stability for static and dynamic postural stability. Also the star excursion balance test (SEBT) was used to measure dynamic postural stability. A one-way ANOVA with repeated measures was used to compare the effects of the BT, BTL, BTT, and BTS. The Bonferroni's post hoc test was used to determine the differences among four tasks. Carrying out the BTS significantly decreased the limit of stability compared with carrying out the BT, BTL, and BTT (p<.05). In limit of stability, total surface area of BTT was more significantly decreased than that of BT and total surface area of BTS was more decreased than that of BT, BTL and BTT (p<.05). In the SEBT, the BTS displayed significantly smaller reach distance values compared with the BT or BTL (p<.05). These findings suggest that performing the balance task while sending text message on the mobile phone decreases dynamic postural stability, whereas performing the same task while listening to music using the mobile phone does not. Therefore, it requires more attention to maintain dynamic balance while sending text messages.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.10
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• pp.855-868
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• 2004

There are several types of singularities in controlling robotic manipulators: kinematic singularity, algorithmic singularity, semi-kinematic singularity, semi-algorithmic singularity, and representation singularity. The kinematic and algorithmic singularities have been investigated intensively because they are not predictable or difficult to avoid. The problem with these singularities is an unnecessary performance reduction in non-singular region and the difficulty in performance tuning. Tn this paper, we propose a method of avoiding kinematic and algorithmic singularities by applying a task reconstruction approach while maximizing the task performance by calculating singularity measures. The proposed method is implemented by removing the component approaching the singularity calculated by using singularity measure in real time. The outstanding feature of the proposed task reconstruction method (TR-method) is that it is based on a local task reconstruction as opposed to the local joint reconstruction of many other approaches. And, this method has dynamic task priority assignment feature which ensures the system stability under singular regions owing to the change of task priority. The TR-method enables us to increase the task controller gain to improve the task performance whereas this increase can destabilize the system for the conventional algorithms in real experiments. In addition, the physical meaning of tuning parameters is very straightforward. Hence, we can maximize task performance even near the singular region while simultaneously obtaining the singularity-free motion. The advantage of the proposed method is experimentally tested by using the 7-dof spatial manipulator, and the result shows that the new method improves the performance several times over the existing algorithms.

• Korean Management Science Review
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• v.26 no.1
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• pp.127-136
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• 2009

This paper purposes analyzing how task assignments influence on business process efficiency, and improving business process efficiency in Business Process Management (BPM) environments. For this purpose, task assignment is categorized into dynamic assignment and static assignment. Dynamic assignment binds a user to a task at process run-time, whereas static assignments assigns a task to a user at process build-time. So far, the influence of task assignment methods has not been studied. We, in this paper, analyze the business process efficiency using two different assigning rule, in terms of cycle time as a efficiency measure. The comparison result can provide a guideline for a company who wants to employ commercial BPM systems.

• The Journal of the Korea Contents Association
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• v.12 no.3
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• pp.222-232
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• 2012

This study was conducted to compare the task-oriented exercise and weight-shifting exercise program has effectiveness on the static and dynamic balance in patients with total knee replacement. The participants were allocated randomly into 2 group : task-oriented exercise group(n=12) and weight-shifting exercise group(n=12). To evaluate the effects of exercise, subjects were evaluated by using Gaitveiw System and functional reaching test for static balance and Balance System for dynamic balance test. The data was analyzed using a paired t-test and independent t-test to determine the statistical significance. Static balance test and dynamic balance test in task-oriented exercise had statistical significance than weight-shifting exercise program(p<0.05). So this results were suggested that the task-oriented exercise was effective on static and dynamic balance in patients with total knee replacement.

• The Journal of Korean Physical Therapy
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• v.22 no.4
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• pp.7-14
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• 2010

Purpose: The goal of this study was to investigate the effect of balance and gait ability through two motor dual task training in chronic stroke subjects. Methods: A group of twenty-five subjects who were six months post stroke participated in this study, where they were designated into pretest-posttest control The subjects were randomly allocated into two groups: experimental (n=13) and control (n=12). Both groups received physical therapy for 5 session 30 minutes per week during 6 weeks. Experimental group practiced additional two motor dual task training programs for thirty minutes a day, three days a week during six weeks. Evaluation of results was obtained through analyzing static balance, dynamic balance and gait function. Results: There was significant improvement among the group that practiced the additional two motor dual task training in that the postural sway area with open eye and close eye on the foam surface, the dynamic balance (p<0.05), and the gait function (p<0.05). Conclusion: Two motor dual task training improved static balance on the foam, dynamic balance, gait function. These results suggest that two motor dual task training is a feasible and suitable treatment for individuals with chronic stroke.

• Journal of the Korea Institute of Military Science and Technology
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• v.17 no.2
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• pp.167-174
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• 2014

In this paper, we address a task allocation problem for a robot team that performs a search and attack mission. The robots are limited in sensing and communication capabilities, and carry different types of resources that are used to attack a target. The environment is uncertain and dynamic where no prior information about targets is given and dynamic events unpredictably happen. The goal of robot team is to collect total utilities as much as possible by destroying targets in a mission horizon. To solve the problem, we propose a distributed task allocation framework incorporated with effective resource management based on resource welfare. The framework we propose enables the robot team to retain more robots available by balancing resources among robots, and respond smoothly to dynamic events, which results in system performance improvement.

• Journal of Electrical Engineering and Technology
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• v.11 no.4
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• pp.987-992
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• 2016

This study introduces an example environment where wireless devices are mobile, devices use dynamic voltage scaling, devices and tasks are heterogeneous, tasks have deadline, and the computation and communication power is dynamically changed for energy saving. For this type of environment, the efficient system-level energy management and resource management for task completion can be an essential part of the operation and design of such systems. Therefore, the resources are assigned to tasks and the tasks may be scheduled to maximize a goal which is to minimize energy usage while trying to complete as many tasks as possible by their deadlines. This paper also introduces mobility of nodes and variable transmission power for communication which complicates the resource management/task scheduling problem further.