• ETRI Journal
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• v.44 no.2
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• pp.286-299
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• 2022

Human activity recognition in real time is a challenging task. Recently, a plethora of studies has been proposed using deep learning architectures. The implementation of these architectures requires the high computing power of the machine and a massive database. However, handcrafted features-based machine learning models need less computing power and very accurate where features are effectively extracted. In this study, we propose a handcrafted model based on three-dimensional sequential skeleton data. The human body skeleton movement over a frame is computed through joint positions in a frame. The joints of these skeletal frames are projected into two-dimensional space, forming a "movement polygon." These polygons are further transformed into a one-dimensional space by computing amplitudes at different angles from the centroid of polygons. The feature vector is formed by the sampling of these amplitudes at different angles. The performance of the algorithm is evaluated using a support vector machine on four public datasets: MSR Action3D, Berkeley MHAD, TST Fall Detection, and NTU-RGB+D, and the highest accuracies achieved on these datasets are 94.13%, 93.34%, 95.7%, and 86.8%, respectively. These accuracies are compared with similar state-of-the-art and show superior performance.

• PNF and Movement
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• v.6 no.2
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• pp.31-38
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• 2008

Purpose: The purpose of this study were to overview the effect of exercise on neural plasticity and the proteins related to neural plasticity. Results: Exercise increased levels of BDNF(brain-derived neurotrophic factor), Insulin-like growth factor-I (IGF-I), Synapsin, Synaptophysin, VEGF(vascular endothelial growth factor) and other growth factors, stimulate neurogenesis, increase resistance to brain insult and improve learning and mental performance. These proteins improved synaptic plasticity by directly affecting synaptic structure and potentiating synaptic strength, and by strengthening the underlying systems that support plasticity including neurogenesis, metabolism and vascular function. Conclusion: Exercise-induced structural and functional change by these proteins can effect on functional movement, cognition in healthy and brain injured people and animals.

• MALSORI
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• no.33_34
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• pp.43-55
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• 1997

This study examined one of the hypotheses on the consonant reduction in Korean inferred from the Articulatory Phonology framework through phonetic experiments: Degree of consonant reduction depends on the height of the neighboring vowels--the lower the height of the neighboring vowel is, the higher the degree of reduction of stop closure period is. The results of this study, in general, turned out to support the hypothesis with some cases requiring other phonetic considerations, e.g., rate of some tongue tip movement in the case of dental lenis stop /t/ or the facts that bilabial lenis stop /p/ share its primary articulators, lips, with the neighboring vowel /u/ and that for bilabial closure, the upper lip lowers more for compensation of little movement of lower lip when its raising gets disturbed for some reasons.

• Journal of the Korea Society of Computer and Information
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• v.22 no.8
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• pp.25-32
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• 2017

In this paper we propose a resource management method which enables to guarantee the quality of experience (QoE) for handover in the overlaid macro-femtocell networks. How to cope with the resource demand of handover calls is necessary to efficiently support the movement of mobile terminals, the QoE degradation or the load control. We attempt to satisfy the QoE requirements of users and maximize the capacity of the system at the same time. In order to achieve this goal, this scheme divides the shared resources into two part for the movement of MT and QoE degradation, and allocates those resources with the competition between four types of handovers. Simulation results show that our scheme provides better performances than the conventional one with respect to the outage probability, data transmission throughput.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.97-104
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• 2017

Location prediction has been successfully utilized to provide high quality of location-based services to customers in many applications. In its usual form, the conventional type of location prediction is to predict future locations based on user's past movement history. However, as location prediction needs are expanded into much complicated cases, it becomes necessary quite frequently to make inference on the locations that target user visited in the past. Typical cases include the identification of locations that infectious disease carriers may have visited before, and crime suspects may have dropped by on a certain day at a specific time-band. Therefore, primary goal of this study is to predict locations that users visited in the past. Information used for this purpose include user's demographic information and movement histories. Data mining classifiers such as Bayesian network, neural network, support vector machine, decision tree were adopted to analyze 6868 contextual dataset and compare classifiers' performance. Results show that general Bayesian network is the most robust classifier.

• Proceedings of the KSR Conference
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• 2005.11a
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• pp.630-636
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• 2005

A safety management system is a information system. This system finds out hazards which could occur during safety management activities, and analyze and evaluate their natures, and then plan to take measures. Therefore accidents could be prevented. To establish the information system, robust architectures are required. A purpose of this research is to derive procedure of establishment in relation to developing safety management systems, which is needed to be advanced. To accomplish it, we reviewed a movement of architectures to establish electronic information and a movement of technology development And then we led definitions of requirements and architectures development process from those that are based on review of the trends.

• International Journal of Knowledge Content Development & Technology
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• v.8 no.2
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• pp.5-22
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• 2018

In the advent of the fourth industrial revolution, which was to become an innovative society, we now face the forefront of a technological revolution, and in response to these changes, the world is actively developing the maker movement to nurture new innovations. Accordingly, it is necessary to change the functions of the library in order to play a leading role in a changing life environment. In addition, it is necessary to present certain directions in policies in order to help expand the library's capabilities to utilize a cultural technology. In this study, we have conducted a survey on public library librarians' perceptions towards makerspaces, and based on this, we have proposed directions and support policies for public library's makerspaces and a dissemination structure of makerspaces for the public library.

• Journal of The Korea Institute of Healthcare Architecture
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• v.7 no.1
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• pp.33-44
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• 2001

This study is about the Spatial Composition and Area Calculation in Plastic Surgical Clinics. 1. The space of the plastic surgical clinics are divided into 4 sections; exam, exam support, the staffs, and waiting and reception area. 2. The average G/N ratio of width was 1.46. The Plastic surgical clinics which had great deviation in the ratio showed these characteristics; first, when they were planned at first, the operation rooms were not assigned enough space; second. space for supporting exam and the activities of staffs was given too little consideration in their first drafts. 3. The average size of operation rooms was $21.76m^2$. The most desirable size was found to be $26.4m^2$ when we put the number of staffs, the movement area of stretcher, and the movement lines of operation room into consideration.

• Journal of Information Management
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• v.40 no.1
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• pp.87-112
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• 2009

This study aims to investigate present situations and problems of local Bookstart program, difficulties faced by local organizations in the course of them implementing the program, and awareness on institutional support system, and ultimately propose strategies for its activation. In particular, considering that public libraries with easier access to babies having highly limited mobility and accessability should be the base of the program, the essay focuses on strategies of its activation for public libraries.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.3
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• pp.463-470
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• 2023

In this study, an electronic parts assembly training system using Leap Motion was developed in consideration of the processes actually operated in the assembly process of electronic products. Based on Leap Motion and Oculus VR equipment, the system was developed to transfer user's hand movement data in real time and convert it into hand movement in virtual space so that electronic parts assembly simulation can be performed step by step. Through this, it was confirmed that the user can obtain an experience similar to the actual electronic parts assembly work, prevent errors that may occur during the assembly process, and improve proficiency. It is expected that this thesis will provide directions for the quality improvement and development of various education and training programs for virtual reality-based manufacturing processes.