• Transactions of the Korean Society of Mechanical Engineers
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• v.9 no.4
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• pp.509-517
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• 1985

작업 공간내에서 원하는 속도와 가속도로, 주어진 경로를 따라 이동하는 k차원 좌표계를 구성하고, 메니퓰레이터의 운동 방정식을 이 좌표계로 변환하여 운동 경로에 대한 선형화 식을 구하였다. 이 시스템의 입력을 변위와 속도의 함수로 정의한 후 안정성을 고려하여 이득을 결정하여 비례-적분제어 시스템을 구성하였다. 이와 같이 구한 적응 제어 알고리즘은 메니퓰레이터의 동적 특성에 대한 정확한 지식을 요하지 않고 또 계산이 간단하여 실시간 응용이 가능하다. 예로서 3차원 공간상의 반경 10cm의 원궤도에 적용하였을 때 최대 오차는 대략 1mm이었으며 상황 변화에 무감각함을 보였다.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.319-329
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• 2018

With rapid development of technology for strong AI chatbot, the role of chatbot has been extended from conducting simple tasks to being a friend or counsellor. For this newly emerging purpose of chatbot, endowment of personality is important to make the chatbot regarded as a human being. Nevertheless I found that there are few guides about it. Thus, this study identifies the proper personality of chatbot depending on the purpose of services and user types. The purposes of chatbot services are divided into three types such as leisure-time, counselling, and task. The DISC theory is used for categorizing personality, which consists of 4 types such as dominance(D), inducement(I), submission(S), and compliance(C). An interview and survey were conducted to investigate the preferred personality of chatbot and contents for leisure-time. As results, people tend to prefer people-oriented types such as I, S for their leisure time, task-oriented types such as D,C for their task, and slow types such as C,S for counselling. Women prone to prefer neutral gender except for counselling and men tend to prefer female in all chatbot services. Preferred chatbot age is either same or younger age for leisure-time, same or older for counselling, and 30's for tasks. Preferred contents for leisure-time are mostly recent information but many 20's want fun contents and 50-70's want emphatic conversation. 30-50's want honorific but 20's and 60-70's don't care. The research results useful guide on proper personality of AI chatbot for each purpose of its service.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.105-115
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• 2021

The purpose of this study is to present the effect of differences in individual coping and organizational homogeneity culture on information security compliance from an exploratory perspective. The study divided groups into individual coping (task-oriented, emotion-oriented) and organizational homogeneity culture (homogeneity, heterogeneity), confirms the difference in information security for each group through cross-design and presents a multiple mediation model between information security factors. As a result of the study, in the coping dimension, the average of the security compliance factors was higher in the emotion-oriented than the task-oriented, and in the homogeneity culture dimension, the average of the security compliance factors was higher in the homogeneity than the heterogeneity. Additionally, social influence and involvement had a multiple mediation effect on the relationship between information security awareness and compliance intention. The implications of this study were to confirm the difference in the effect of individual decision-making styles on security compliance according to the organizational culture differences. The results suggest the necessity of applying a customized information security compliance model for each organization and individual characteristics.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.668-670
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• 2004

Taipei Water Management Office (TWMO) is one of the eleven district offices in Water Resource Agency. Water management is the top priority to be pursued both on daily management and long-term management at TWMO. There are five departments to perform a wide range of tasks in addition to water management. All management prescriptions are simply to provide sustainable clean water for about four millions population in Taipei. TWMO has gone through 16 years experience of development and implementation of GIS in water management. The objectives of this paper are to provide the major ingredients of successful and operational GIS for water management. The five departments at TWMO have performed tasks such as city planning, construction management, forest management, land use enforcement, soil and water conservation, water quality monitoring and protection, garbage collection, and sewage disposal management. Data base creation was one of the major jobs to be done. Update of data base has to be done on a daily basis. Computers, its peripheral, and software are essential for GIS developed at TWMO. Know-how and technical skill on computers and GIS for every technician are contributing significantly such that GIS can be implemented on most of jobs performed at TWMO. Implementations of GIS have been pursued by application modules on a task-oriented basis. Application modules are simple, easy to use, and menu driven with only Chinese. Web-based and mobile GIS are the new components that make water management at TWMO stay on the right course. To solve problems encountered in water management by GIS at TWMO can be easily and user-friendly may be the most important experience.

• The Journal of Society for e-Business Studies
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• v.12 no.4
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• pp.145-163
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• 2007

Service-Oriented Architecture is a style of information systems that enables the creation of applications that are built by combining loosely coupled and interoperable services. A service is an implementation of business functionality with proper granularity and invoked with well-defined interface. In service modeling, when the granularity of a service is finer, the reusability and flexibility of the service is lower. For solving this problem concerns with the service granularity, it is critical to identify and define coarse-grained services from the domain analysis model. In this paper, we define the process to identify services from the Use Case model elicited from domain analysis. A task tree is derived from Use Cases and their descriptions, and Use Cases are reconstructed by the composition and decomposition of the task tree. Reconstructed Use Cases are defined and specified as services. Because our method is based on the widely used UML Use Case models, it can be helpful to minimize time and cost for developing services in various platforms and domains.

• Journal of the Korean Society of Physical Medicine
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• v.12 no.2
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• pp.43-52
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• 2017

PURPOSE: This study aimed to compare the impact of exercise with that of functional electrical stimulation (FES) and transcutaneous electrical nerve stimulation (TENS) on muscle tone, calf muscle stiffness, and balance ability in patients with stroke. METHODS: Thirty patients with stroke were randomly divided into an FES group (n=15) and a TENS group (n=15), and a progressive task-oriented exercise was assigned to them. These exercises were performed non-synchronously from December 5, 2016 to January 31, 2017. Patients underwent TENS and simultaneously exercised for 30 minutes daily, 5 times a week for 4 weeks. To determine the effect of the interventions, muscle tone and stiffness of the medial and lateral region of gastrocnemius muscle were measured using the MyotonPRO instrument and balance was assessed using the Berg Balance Scale. RESULTS: Both groups revealed a significant decrease in muscle tone and stiffness of the medial part of gastrocnemius muscle before and after the interventions (p<.05). Berg Balance Scale scores increased significantly (p<.05). However, none of the other parameters were significantly different (p>.05). CONCLUSION: Our results prove that progressive task-oriented exercise along with FES and TENS decreases muscle tone and stiffness of the gastrocnemius muscle in patients with stroke and improves balance. TENS could serve as a complementary replacement for functional electrical stimulation for in-house training, as TENS poses less risk of muscle fatigue and has lesser contraindications than does functional electrical stimulation.

• Therapeutic Science for Rehabilitation
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• v.10 no.2
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• pp.53-74
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• 2021

Objective : The purpose of this study was to examine foreign literature on the evaluation and interventions for motor functions in children. Methods : Studies in this review were identified by searching the PubMed, Cochrane Library (Embase) databases from those published form January 2010 to March 2020 using the following keywords: "motor function test" or "motor function measure" or "movement assessment" or "motor proficiency test" or "motor scale" or "motor skill" and children. Results : Of the total 37 identified studies, 14 analyzed evaluations, 23 analyzed interventions, all of which were randomized control trials. Studies on evaluations were increasingly more common, in contrast to studies on interventions for motor functions. The most frequent field of research was rehabilitation. The studies on evaluations included the AIMS and MABC-II, and GMFM was the most frequently used intervention. Interventions were most commonly used in task-oriented training (six studies). Conclusion : This study aimed to provide a basis for therapists to choose effective motor function evaluation and interventions for clinical trials by analyzing studies related to interventions for and evaluation of motor function in children.

• Journal of the Korea Computer Graphics Society
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• v.29 no.4
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• pp.7-16
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• 2023

For decades, creating a desired locomotive motion in a goal-oriented manner has been a challenge in character animation. Data-driven methods using generative models have demonstrated efficient ways of predicting long sequences of motions without the need for explicit conditioning. While these methods produce high-quality long-term motions, they can be limited when it comes to synthesizing motion for challenging novel scenarios, such as punching a random target. A state-of-the-art solution to overcome this limitation is by using a GAN Discriminator to imitate motion data clips and incorporating reinforcement learning to compose goal-oriented motions. In this paper, our research aims to create characters performing combat sports such as boxing, using a novel reward design in conjunction with existing GAN-based approaches. We experimentally demonstrate that both the Adversarial Motion Prior [3] and Adversarial Skill Embeddings [4] methods are capable of generating viable motions for a character punching a random target, even in the absence of mocap data that specifically captures the transition between punching and locomotion. Also, with a single learned policy, multiple task controllers can be constructed through the TimeChamber framework.

• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.28 no.1
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• pp.71-80
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• 2022

Background: This study investigated the effect of robot-assisted arm training on muscle activity of arm and weight bearing in stroke patients. Methods: The study subjects were selected 20 stroke patients who met the selection criteria. 10 people in the robot-assisted arm training group and 10 people in the task-oriented arm training group were randomly assigned. The experimental group performed robot-assisted arm training, and the control group performed task-oriented arm training for 6 weeks, 5 days a week, 30 minutes a day. The measurement tools included surface electromyography and smart insole system. Data were analyzed using independent sample t-test and the paired sample t-test. Results: Comparing the muscle activity of arm within the group, the experimental group and the control group showed significant differences in muscle activity in the biceps brachii, triceps brachii, anterior deltoid, upper trapezius, middle trapezius, and lower trapezius. Comparing the muscle activity of arms between the groups, the experimental group showed significant difference in all muscle activity of arm compared to the control group. Comparing the weight bearing within the groups, the experimental group showed significant difference in the affected side and non-affected side weight bearings and there were significant differences in anterior and posterior weight bearing. The control group showed significant difference only in the non-affected side weight bearing. Comparing the weight bearings between groups, the experimental group showed significant difference in the affected side and non-affected side weight bearings compared to the control group. Conclusion: This study confirmed that robot-assisted arm training applied to stroke patients for 6 weeks significantly improved muscle activity of arm and weight bearing. Based on these results, it is considered that robot-assisted arm training can be a useful treatment in clinical practice to improve the kinematic variables in chronic stroke patients.

• Journal of the Korea Computer Graphics Society
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• v.30 no.3
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• pp.87-97
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• 2024

This study aims to develop a system that enables users employing PC and VR devices to collaboratively analyze data visualizations in a remote environment. The system provides a task-oriented node-link control interface to aid users in understanding the visualization analysis process and effectively distributing roles. Additionally, it offers a network environment where multiple users can collaborate and receive feedback on visualization analysis even when physically separated. To elucidate the collaborative analysis method implemented in the system, we designed a scenario. Furthermore, we conducted a pilot experiment to evaluate the system's usability with participants majoring in related fields. The experimental results confirmed that users can freely analyze data through easily comprehensible interface manipulations in an extended reality space, and efficiently conduct real-time collaborative analysis in a remote environment.