• Journal of Digital Convergence
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• v.4 no.1
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• pp.83-92
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• 2006

The purpose of this study is to confirm whether the task and system development process makes a significant influence on the system performance. The task is defined as a interdependency and system development process is defined as analysis, user participation and executive support. Field research was employed to empirically investigate the relationship among the variables. The finding of the study can be summarized as follows. The strict analysis under the task of high interdependency has a significant effect on the system performance. And high executive support is needed for the system performance under any level of interdependency.

• Research in Mathematical Education
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• v.16 no.3
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• pp.155-176
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• 2012

It is an important issue to explore classroom environments which are conducive to developing students' mathematical performance. This study explores the effects of different classroom environments (solution-demand and corresponding-time setting) on mathematical performances. Fourteen and eighteen prospective teachers were required to prove a task under different conditions respectively: a) Cognitive demand of multiple-solution corresponding time of three hours, and b) Cognitive demand of a right solution corresponding time of 20 minutes. We used SOLO as the assessment tool for mathematical performance from quality perspective. Significant differences were found in the quantity and quality of mathematical performance. The regular environment focusing on speed and accuracy were found to be directly linked to low levels of performance. The findings above provide implications to the cognitive benefits of multiple-solution demand and corresponding time setting.

• Korean Journal of Cognitive Science
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• v.28 no.1
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• pp.43-64
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• 2017

The purpose of the current study is to investigate how task-irrelevant affective priming affects higher cognitive function. In the study, we selected prime stimuli from International Affective Picture System(IAPS) and examined if they influence participants' performance of syllogistic reasoning task when they are task-irrelevant. In Experiment 1, arousal of IAPS stimuli was controlled while valence of the stimuli was manipulated. In Experiment 2, valence of IAPS stimuli was controlled while arousal of stimuli was manipulated. In both experiments, task-irrelevant affective primes were followed by syllogistic reasoning tasks consisting of three sentences and measured accuracies of task performance. The results showed that valence of affective prime affected logical validity of reasoning and belief-bias whereas arousal of affective primes did not yield any difference. That is, positive valence facilitated logical and analytic processing by reducing belief-bias while arousal did not affect reasoning task performance. These results suggest that dimensions of valence and arousal independently influence higher cognitive function.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.9
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• pp.1544-1572
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• 2011

Task placement and scheduling are traditionally studied in following aspects: resource utilization, application throughput, application execution latency and starvation, and recently, the studies are more on application scalability and application performance. A methodology for task placement and scheduling centered on tasks based on virtual machines is studied in this paper to improve the performances of systems and dynamic adaptability in applications development and deployment oriented parallel computing. For parallel applications with no real-time constraints, we describe a thought of feature model and make a formal description for four layers of task placement and scheduling. To place the tasks to different layers of virtual computing systems, we take the performances of four layers as the goal function in the model of task placement and scheduling. Furthermore, we take the personal preference, the application scalability for a designer in his (her) development and deployment, as the constraint of this model. The workflow of task placement and scheduling based on virtual machines has been discussed. Then, an algorithm TPVM is designed to work out the optimal scheme of the model, and an algorithm TEVM completes the execution of tasks in four layers. The experiments have been performed to validate the effectiveness of time estimated method and the feasibility and rationality of algorithms. It is seen from the experiments that our algorithms are better than other four algorithms in performance. The results show that the methodology presented in this paper has guiding significance to improve the efficiency of virtual computing systems.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.7
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• pp.3566-3582
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• 2019

In intelligent warehouse picking system, the allocation of tasks has an important influence on the efficiency of the whole system because of the large number of robots and orders. The paper proposes a method to solve the task allocation problem that multi-robot task allocation problem is transformed into transportation problem to find a collision-free task allocation scheme and then improve the capability of task processing. The task time window and the power consumption of multi-robot (driving distance) are regarded as the utility function and the maximized utility function is the objective function. Then an integer programming formulation is constructed considering the number of task assignment on an agent according to their battery consumption restriction. The problem of task allocation is solved by table working method. Finally, simulation modeling of the methods based on table working method is carried out. Results show that the method has good performance and can improve the efficiency of the task execution.

• The Journal of Korean Physical Therapy
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• v.20 no.3
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• pp.1-7
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• 2008

Purpose: Implicit motor learning is the capacity to acquire skill through physical practice without conscious awareness of what elements of performance improved. This study investigated whether subacute stroke patients can implicitly learn a perceptual-motor task. Methods: We recruited 12 patients with subacute stroke and 12 age-matched controls. All participants performed a perceptual-motor task that involved pressing a button corresponding with colored circles (blue, green, yellow, red) on a computer screen. The task consists of 7 blocks composed of 10 repetitions for a repeating 12-element sequence (total 120 responses). Results: Both groups demonstrated significant improvement in acquisition performance. Reaction times deceased in both groups at similar rate within the sequential block trials (2-5 blocks), and reaction times increased at a similar rate when the task paradigm was transferred from the sequential block trial to the random block trial (5-6-7 blocks). Conclusion: The results of this study suggest that patients with sub-actue stroke can implicitly learn a perceptual motor skill. Although explicit instructions should be used to focus the learner's attention rather than provide information about the task, the application of implicit motor learning strategies in the rehabilitation setting may be beneficial.

• Phonetics and Speech Sciences
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• v.10 no.2
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• pp.61-68
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• 2018

Phonological awareness, or consciousness of speech sounds and operational skill with them, develops in the order word > syllable > phoneme, over the ages of four to seven. Among the various types of phonological awareness tasks, the deletion task has a higher level of difficulty because it requires operation and deletion of sounds within words. This task also has a high correlation with reading proficiency. This study utilized a deletion task with 20 questions to see how operational development depended on age and gender. The deletion task, with 20 questions, was tested on four- to six-year old children developing normally (N = 90). The results showed that phonological awareness performance improved with age. This age effect was not accompanied by a gender effect; age and gender interacted. The study confirmed the development of phonological awareness in four- to six-year-old children who were developing normally. The deletion task can be used to effectively detect the risk of difficulties with phonological awareness in preschoolers with speech, language, and reading problems.

• Science of Emotion and Sensibility
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• v.16 no.4
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• pp.535-544
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• 2013

Prior research on attribution has paid much attention to cognitive processes through which people infer causes. However, surprising omission from this research stream is the role of unconscious priming of different causes in task satisfaction and re-performance intention. This research is conducted to examine how attributing to different causes (chance vs. effort) via priming procedure affects task satisfaction and re-performance intention. To do this, participants were assigned to either chance-priming or effort-priming attribution condition and asked to answer O/X quiz (Exp 1) or multiple choice questions (Exp 2). Then, we provided 'Good' or 'Bad' feedback to participants randomly regardless of their actual task results. Finally, we measured their task satisfaction and re-performance intention. Results indicate that task satisfaction is affected by the valence of feedback they received but re-performance intention is influenced by interaction between attribution priming and the valence of feedback. Specifically, when receiving 'Good' feedback, participants in effort-priming condition have higher re-performance intention than those in chance-priming condition, whereas when receiving 'Bad' feedback, participants in effort-priming condition have lower re-performance intention than those in chance-priming condition. Implications of the findings are discussed in relation to the research for induction and decision making as well as psychology of addiction.

• Korean Journal of Culture and Social Issue
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• v.28 no.2
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• pp.83-106
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• 2022

The current study examined the effects of the type and context of self-talk on task performance, task-post emotion, and perceived stress. Participants were 100 undergraduates in Busan. Participants were randomly assigned to one of four the experimental groups that were set by combining the narrative condition (the first-person versus non-first-person) to the content condition (self-reinforcing versus self-critic) to measure their pre and post intervention responses. For the analysis, we performed two-ways analysis of variance using the difference value of dependent variables comparing the pre and post-intervention. As a result of the analysis, we found that content condition of self-talk significantly influenced task performance, task-related confidence, emotion response, and perceived stress. That is, the self-reinforcement self-talk group showed better performance, higher task-related confidence, more positive emotion, lower negative emotion and less perceived stress than the self-critic self-talk group. The contents conditions of self-talk interacted with the narrative condition of self-talk to predict perceived stress, indicating that only non-first person/self-reinforceing self-talk group showed reduced levels of perceived stress.

• Transactions on Control, Automation and Systems Engineering
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• v.4 no.1
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• pp.100-107
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• 2002

The advanced bilateral control algorithm, which can enlarge a reflected force by combining force reflection and compliance control, greatly enhances workability in teleoperation. In this scheme the maximum boundaries of a compliance controller and a force reflection gain guaranteeing stability and good task performance greatly depend upon characteristics of a slave arm, a master arm, and an environment. These characteristics, however, are generally unknown in teleoperation. It is, therefore, very difficult to determine such maximum boundary of the gain. The paper presented a novel method for design of an advanced bilateral controller. The factors affecting task performance and stability in the advanced bilateral controller were analyzed and a design guideline was presented. The neurofuzzy compliance model (NFCM)-based bilateral control proposed herein is an algorithm designed to automatically determine the suitable compliance for a given task or environment. The NFCM, composed of a fuzzy logic controller (FLC) and a rule-learning mechanism, is used as a compliance controller. The FLC generates compliant motions according to contact forces. The rule-learning mechanism, which is based upon the reinforcement learning algorithm, trains the rule-base of the FLC until the given task is done successfully. Since the scheme allows the use of large force reflection gain, it can assure good task performance. Moreover, the scheme does not require any priori knowledge on a slave arm dynamics, a slave arm controller and an environment, and thus, it can be easily applied to the control of any telerobot systems. Through a series of experiments effectiveness of the proposed algorithm has been verified.