• Journal of the Korean Chemical Society
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• v.61 no.4
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• pp.211-217
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• 2017

The purpose of this study was to examine UK students' use of multimodal representations in science. Students were asked to explain their understandings of the scientific concept and presentation of the multimodal representations in a science Assessing Pupils' Progress (APP) task. Participants of this study were fifty-four Year 7 students taught by the same teacher. Students from one class (27 students) were assigned to the experimental group, and then they received instruction encouraging the using of multimodal representations as evidences to support students' claims. One class (27 students) was assigned to the control group and they received instruction with traditional teaching methods. Both groups performed an APP task for assessment. The samples of APP assessments produced by students both from the experimental and control groups were analyzed using an analysis framework of multimodal representations, embeddedness in evidence and understanding of scientific concepts. Data analysis indicated that the students in the experimental group performed better than that of the control group on embeddedness of multimodal representations in the APP task. In addition, there was a significant difference between the two groups in the evaluation of understand of the scientific concepts.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.57-65
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• 2011

Since software reuse and agile development methods are seen as ways to shorten development time and accept frequent requirement changes, respectively, there has been growing interest and research on integrating these approaches. But despite the increasing number of software companies which have successfully adopted agile development methods, there has been little research on reuse in agile methods to further improve productivity. In this paper, we identify a new type of reuse asset and propose a task factoring technique by taking advantage of iteration characteristics to support reuse in agile software development methods. In addition, we can apply the proposed technique and show prototyping of task reuse in a video rental application.

• International Journal of Advanced Culture Technology
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• v.5 no.1
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• pp.83-89
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• 2017

In this paper, we propose an extended method of one-hot Long Short-Term Memory (LSTM) and evaluate the performance on spam filtering task. Most of traditional methods proposed for spam filtering task use word occurrences to represent spam or non-spam messages and all syntactic and semantic information are ignored. Major issue appears when both spam and non-spam messages share many common words and noise words. Therefore, it becomes challenging to the system to filter correct labels between spam and non-spam. Unlike previous studies on information filtering task, instead of using only word occurrence and word context as in probabilistic models, we apply a neural network-based approach to train the system filter for a better performance. In addition to one-hot representation, using term weight with attention mechanism allows classifier to focus on potential words which most likely appear in spam and non-spam collection. As a result, we obtained some improvement over the performances of the previous methods. We find out using region embedding and pooling features on the top of LSTM along with attention mechanism allows system to explore a better document representation for filtering task in general.

• Communications for Statistical Applications and Methods
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• v.17 no.6
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• pp.891-898
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• 2010

In real software development fields, software is unified by several modules that are developed before the software testing period. For the evaluation of software task processing performance, this paper considers the software imperfect debugging model that is proposed by Lee and Park (2003) and presents the measures of a unified software, such as the completion probability of a task which is completed in a time interval and the expected number of the completed tasks. In addition, we suggest a software release policy that satisfies the required level of the expected perfect debugging, completion probability, and availability.

• Korean Journal of Pharmacognosy
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• v.41 no.3
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• pp.196-203
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• 2010

Black sesame (Sesami semen nigrum) has been used to treat dizziness, earnoise, constipation in the traditional Chinese medicine. In the present study, we assessed memory enhancing properties of 70% ethanolic extract of black sesame (EBS70) and its ameliorating activities on learning and memory impairments induced by scopolamine. Drug-induced amnesia was made by scopolamine treatment (1 mg/kg, i.p.). Single EBS70 (200 mg/kg, p.o.) administration significantly enhanced cognitive function and attenuated scopolamine-induced cognitive impairments as determined by the passive avoidance and Y-maze tasks (P<0.05) and also reduced escape-latency on the Morris water maze task (P<0.05). In addition, EBS70 increased BDNF expression in hippocampus 4 h after its administration (P<0.05). These results suggest that EBS70 enhances learning and memory in normal state and attenuates amnesic state caused by cholinergic dysfunction.

• The Journal of Information Systems
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• v.31 no.2
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• pp.197-216
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• 2022

Purpose In this study, in order to understand the effects of NTIS users' behavioral scientific behaviors and determinants, an integrated model of the UTAUT(Unified Theory of Acceptance and Use of Technology) model and TTF(Task-Technology Fit) model, which are frequently used MIS field, was presented and empirical analysis was conducted. Design/methodology/approach In this study, an online survey was conducted on researchers from organizations carrying out national R&D projects, institutions, universities, and dedicated management institutions and the collected data verified hypotheses established using the SPSS 25.0 statistical package and structural equation model using AMOS. Findings The results showed that NTIS users' business activities had a positive(+) effect on task-technology fit and task-technology fit had a positive(+) effect on performance expectation, effort expectation, and continuous intention-to-use intention. In addition, the performance expectation, effort expectation, and promotion conditions presented in research model had a positive(+) effect on the continuous intention-to-use. The research results derived through this study are expected to contribute substantially to subsequent research in the field related to information sharing platforms.

• KIISE Transactions on Computing Practices
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• v.23 no.7
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• pp.452-457
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• 2017

Linux is a general-purpose operating system that supports several schedulers, allowing different schedulers to coexist. In addition, Linux uses the Control Group (cgroup) to reserve CPU resources for task groups that follow the real-time (SCHED_FIFO, SCHED_RR) and non-real-time (SCHED_NORMAL) scheduler policies, except for the deadline scheduler (SCHED_DEADLINE). The cgroup performs the schedulability analysis to guarantee the reserved CPU resource as much as possible. However, current implementation of the schedulability analysis does not distinguish between deadline tasks and real-time tasks. Therefore, if these deadline tasks and real-time task groups coexist, there is a case where the resource reservation for the real-time task group is rejected. In this paper, we analyze the problems in the schedulability analysis for real-time task groups of Linux cgroups and propose patches to solve these problems.

• Journal of the Korean Society of Physical Medicine
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• v.14 no.4
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• pp.71-80
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• 2019

PURPOSE: This study examined whether a task-oriented training program is an effective intervention to improve the body function, activity, and participation of children with cerebral palsy (CP). METHODS: Ten children with CP (7-13 years old) performed a task-oriented training program for eight weeks (three sessions per week, 30 minutes each). The taskoriented training program consisted of eight activities. The subjects' body function was assessed using a handheld dynamometer, goniometer, Modified Ashworth Scale (MAS), Balance Performance Monitor (BPM), and the Bruininks-Oseretsky Test of Motor Proficiency (BOTMP). The subjects' activity and participation were assessed using the Gross Motor Function Measure (GMFM) and Timed Up and Go (TUG) test. RESULTS: Task-oriented training provided significant improvements in the subjects' body function. The subjects improved the bilateral isometric muscle strength of the hip flexors, extensors and abductors, knee flexors and extensors, and ankle dorsi- and plantar flexors (p<.05). Bilateral passive hip flexion, abduction, and external rotation, knee flexion, and ankle dorsi- and plantar flexion were also increased (p<.05). In addition, the MAS score of the hip adductors decreased (p<.05) and the BOTMP score increased after training (p<.05). The subjects' activity and participation also improved significantly after training, increasing the GMFM score (p<.05) and decreasing the TUG score (p<.05). On the other hand, the BPM score did not change after training. CONCLUSION: This study suggests that a task-oriented training program can be an effective intervention to improve the body function, activity, and participation for children with CP.

• Physical Therapy Rehabilitation Science
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• v.5 no.3
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• pp.143-148
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• 2016

Objective: This study aimed to quantify one of the useful upper extremity movements to evaluate motor control abilities between the groups of people with mild and moderate arm impairments performing a door handling task. Design: Cross-sectional study. Methods: Twenty-one healthy participants and twenty-one persons with chronic stroke (9 mild stroke and 12 moderate stroke) were recruited for this study. Stroke participants were divided into 2 groups based on Fugle-Meyer Assessment scores of 58-65 (mild arm) and 38-57 (moderate arm). All they performed door handling task including the pronation and supination phases 3 times. We measured some movement factors which were reaction time, movement time, hand of peak velocity, hand of movement units to perform door handling task using the three-dimensional motion analysis. Results: The majority of kinematic variables showed significant differences among study groups (p<0.05). The reaction time, total and phase of movement time, hand of peak velocity, the number of movement units discriminated between healthy participants and persons with moderate upper limb stroke (p<0.05). In addition, reaction time, total and phase of movement time, the number of movement units discriminated between those with moderate and mild upper limbs of stroke patients (p<0.05). Conclusions: Three-dimensional kinematic motion analysis in this study was a useful tool for assessing the upper extremity function in different subgroups of people with stroke during the door handling task. These kinematic variables may help clinicians understand the arm movements in door handling task and consist of discriminative therapeutic interventions for stroke patients on upper extremity rehabilitation.

• The KIPS Transactions:PartB
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• v.11B no.5
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• pp.597-602
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• 2004

In spite of recent increase in the use of avatar systems in Web and Virtual Reality, there has not been a service that allows users to control directly the avatar behaviors. In addition, the conventional behavior control languages required a lot of complicated information for controlling the behaviors, so that users had difficulty using them. To apply written languages to a different task domain, moreover, it was necessary to modify or rewrite the languages. In this paper, for the avatar behavior control more simply define, “Task-Level Behavior Description Language,” which allows description the avatar behaviors in each task domain and “Motion Representation Language,” which enables writing detailed data for motion control. The system, developed in this paper, “included an Interpreter,” which automatically creates the Motion Representation Language, allowing users to easily control the avatar behaviors simply with the Behavior Description Language. The system was also applied to cyber classes, and the Task-level Behavior Description Language was compared with conventional languages to see how it was more effective in behavior description.