• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.186-191
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• 2023

Neural Networks are widely used for huge variety of tasks solution. Machine Learning methods are used also for signal and time series analysis, including electrocardiograms. Contemporary wearable devices, both medical and non-medical type like smart watch, allow to gather the data in real time uninterruptedly. This allows us to transfer these data for analysis or make an analysis on the device, and thus provide preliminary diagnosis, or at least fix some serious deviations. Different methods are being used for this kind of analysis, ranging from medical-oriented using distinctive features of the signal to machine learning and deep learning approaches. Here we will demonstrate a neural network-based approach to this task by building an ensemble of 1D CNN classifiers and a final classifier of selection using logistic regression, random forest or support vector machine, and make the conclusions of the comparison with other approaches.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.464-471
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• 2009

Robot and application of IT skill of construction industry are slow comparatively than another thing industry by the feature. This research proposes progress management and real time information gathering through construction automation and RFID focused on steel structure construction. Building for RTPM system, must consider various variables and surrounding situation in construction field and it is the most important and difficult matter that draw right requirement and grasp relation between this requirements to accomplish one suitable task considering these environment. Therefore, in this study analyzes requirement and target for RTPM system based on scenario that is easy to draw requirement and apply this to use case model. Presented method suggests that represent relation between goals and way that refines goal systematically from requirement of RTPM system. And it could express for visualization through the Way that attaches nonfunctional elements of system with system internal goal.

• Annual Conference on Human and Language Technology
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• 2023.10a
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• pp.644-647
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• 2023

대화 시스템에서 대화 상태 추적은 사용자와의 대화를 진행하면서 사용자의 의도를 파악하여 시스템 응답을 결정하는데 있어서 중요한 역할을 수행한다. 특히 목적지향(task-oriented) 대화에서 사용자 목표(goal)를 만족시키기 위해서 대화 상태 추적은 필수적이다. 최근 다양한 자연어처리 다운스트림 태스크들이 사전학습 언어모델을 백본 네트워크로 사용하고 그 위에서 해당 도메인 태스크를 미세조정하는 방식으로 좋은 성능을 내고 있다. 본 논문에서는 한국어 토큰-프리(token-free) 사전학습 언어모델인 KeByT5B 사용하고 종단형(end-to-end) seq2seq 방식으로 미세조정을 수행한 한국어 생성 기반 대화 상태 추적 모델을 소개하고 관련하여 수행한 실험 결과를 설명한다.

• Journal of Digital Convergence
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• v.11 no.8
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• pp.235-242
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• 2013

This study aimed to evaluate the effectiveness of imagery training on upper limb function and activities of daily living in subacute stroke patients. This study included 16 voluntary participants with subacute stroke. Subjects were randomly assigned to either experimental or control group, with 8 in each group. Imagery training group performed imagery training during 30 minutes and then task-oriented training 30 minutes a day, 5 times a week for 4 weeks. Control group performed task-oriented training during 30 minutes during a day, 5 times a week for 4 weeks. Assessments were made using the Wolf Motor Function Test (WMFT) and Fugl-Meyer motor function assessment (FMA) to evaluate the changes of upper function. And modified Barthel Index (MBI) was measured to evaluate the activities of daily living. The results showed that imagery training group was more significant increase than control group in WMFT, FMA, and MBI (p<.05). Small to huge effect sizes of 1.59, 2.02, 0.37 were observed for WMFT, FMA, and MBI, respectively. This study indicated that imagery training may be helpful in improving the upper limb function and activities of daily living for subacute stroke patients, and support the clinical feasibility of the imagery training.

• Science of Emotion and Sensibility
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• v.10 no.4
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• pp.523-538
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• 2007

This study examined effects of gender and empathic emotional expression of an anthropomorphic interface agent on users. assessment of the agent. In addition, it examined effects of gender and emotional expression regardless of whether visual fidelity of the agent. In Study 1, The agents were manipulated by photographs of human face. The agent expressed empathic emotion by making an other-oriented emotional response congruent with another's perceived welfare. Subjects participated in a task with the agent and then they assessed the agent by rating interpersonal assessment scale. The result reported their preference to the female agent. In addition, they tended to make positive assessment to the agent of opposite gender. In the study 2, gender and expressed emotion of the agent with low fidelity was manipulated. Subjects participated in a task with the agent and then they assessed the agent by rating the same interpersonal assessment scale as study 1. The result reported their preference to the female agent. In addition, they preferred the agent expressing empathic emotion to the agent expressing self-oriented emotion or no emotion. Though the agent had low visual fidelity, its gender and expressed empathic emotion could make a significant effect on users' assessment.

• The Journal of the Acoustical Society of Korea
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• v.24 no.8
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• pp.498-504
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• 2005

We introduce a Korean speech recognition platform (ECHOS) developed for education and research Purposes. ECHOS lowers the entry barrier to speech recognition research and can be used as a reference engine by providing elementary speech recognition modules. It has an easy simple object-oriented architecture, implemented in the C++ language with the standard template library. The input of the ECHOS is digital speech data sampled at 8 or 16 kHz. Its output is the 1-best recognition result. N-best recognition results, and a word graph. The recognition engine is composed of MFCC/PLP feature extraction, HMM-based acoustic modeling, n-gram language modeling, finite state network (FSN)- and lexical tree-based search algorithms. It can handle various tasks from isolated word recognition to large vocabulary continuous speech recognition. We compare the performance of ECHOS and hidden Markov model toolkit (HTK) for validation. In an FSN-based task. ECHOS shows similar word accuracy while the recognition time is doubled because of object-oriented implementation. For a 8000-word continuous speech recognition task, using the lexical tree search algorithm different from the algorithm used in HTK, it increases the word error rate by $40\%$ relatively but reduces the recognition time to half.

• The Journal of the Convergence on Culture Technology
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• v.7 no.3
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• pp.397-404
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• 2021

This study examined how different types of remote video lectures, which universities are using in earnest now due to the COVID-19 pandemic, impact the academic achievement of learners. Zoom-based remote video lectures were divided into two types-general lecture-centered and group task-oriented-and experimental and control groups were set up accordingly. An achievement test and a questionnaire were conducted to determine how academic achievement differed between these two approaches. The achievement test revealed no significant differences in achievement scores between the two groups. Meanwhile, the questionnaire regarding satisfaction with Zoom-based video lectures indicated that both groups were highly satisfied. Participants in the general lecture-centered type group cited the effect of learning, their instructors' class preparation and attitudes towards the class, and the promotion of participation in learning activities as the causes of their satisfaction, while participants in the task-oriented type group highlighted communication and sharing, the efficiency of group discussions, and the moderate difficulty level of group tasks as the reasons for their satisfaction with the video lectures. Remote video lectures in the untact era are becoming increasingly common, and educators will need to develop various Zoom-based teaching strategies to maximize their efficiency.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.746-764
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• 2022

Communication breakdown has been mentioned causing a heavy burden for dementia caregivers. This study aims to inspect and structure the process and results of communication between people with dementia and their caregivers. The impeding/facilitating elements of communication are also extracted. Interviews with 21 of dementia care experts about the direct and indirect experiences of communication with people with dementia were analyzed based on the grounded theory. Results show that combination of the cognitive and communication decline of the people with dementia, confusing environment and caregivers' inappropriate attitude and lack of communication skills leads to communication breakdown and relations severance. Minimal contacts and task-oriented conversation results in conflicts and people with dementia's increasing agitation, anxiety and violent behaviors while understanding of individuality and listening with heart lead to recovered lucidity in the state of serious dementia, recovered pleasure and voluntary participation in the daily activities for people with dementia. Core paradigm was defined as 'Person Centered Care through relation formation'. There are 4 types of communication with people with dementia : partnering, patronizing, conflicting, avoiding types. Researchers suggest that Person Centered based communication skills be educated and trained for dementia caregivers.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.41-49
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• 2022

The Internet Engineering Task Force (IETF) has standardized RPL (IPv6 Routing Protocol for Low-power Lossy Network) as a routing protocol for Low Power and Lossy Networks (LLNs), a low power loss network environment. RPL creates a route through an Objective Function (OF) suitable for the service required by LLNs and builds a Destination Oriented Directed Acyclic Graph (DODAG). Existing studies check the residual energy of each node and select a parent with the highest residual energy to build a DODAG, but the energy exhaustion of the parent can not avoid the network disconnection of the children nodes. Therefore, this paper proposes EC-RPL (Enhanced Connectivity-RPL), in which ta node leaves DODAG in advance when the remaining energy of the node falls below the specified energy threshold. The proposed protocol is implemented in Contiki, an open-source IoT operating system, and its performance is evaluated in Cooja simulator, and the number of control messages is compared using Foren6. Experimental results show that EC-RPL has 6.9% lower latency and 5.8% fewer control messages than the existing RPL, and the packet delivery rate is 1.7% higher.

• Science of Emotion and Sensibility
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• v.25 no.1
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• pp.29-40
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• 2022

This study uses the bidet 4D double diamond design process model to propose an improvement for "senior-oriented bidet product service design" that reflects the characteristics and needs of seniors. This study was based on the product service system concept. To this end, qualitative research on seniors was conducted to derive user value factors, and, based on this, product service ideas were discovered, and a prototype reflecting the usefulness review of a working-level expert group was proposed. First, a "smart application service for user-customized function setting guide" was proposed. A bidet incorporating Internet of Things technology and a smart phone are linked to provide an app service that automatically interprets user characteristic information and information on bidet products to guide customized functions. Second, a control panel and remote control user interface to "user-oriented product service interface" was proposed. In consideration of the usability and cognitive ability of seniors, a simple and intuitive physical user interface such as a configuration centered on main functions, button arrangement according to task sequence, and a touch screen remote control was presented. Third, we proposed a "bidet care service linked with products and health/hygiene care" that provides a wide range of services such as user health and hygiene, cleanliness, entertainment, etc., in addition to regular bidet product service. This study proposed a product-based service design methodology that can improve user experience and relationship quality by discovering and improving the pain points and needs of users (seniors) in the process of using bidet products (before, during, and after use).