• Phonetics and Speech Sciences
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• v.3 no.2
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• pp.23-28
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• 2011

Electromagnetometers (EMA) have been widely used in articulatory studies as their temporal resolution can capture most speech activities and the fleshpoint information allows one to readily quantify and analyze tongue shape. However, the drawback is that the data lacks details of activity in the pharyngeal region. Several studies have attempted to estimate the unknown pharyngeal shape of the tongue, but few studies are based on unimodal data containing both front and back regions of the tongue at the same time. We use Stone's ball bearing method to obtain fleshpoint data as well as tongue shape. We further introduce a novel way of connecting balls and attaching them onto the tongue to ensure accurate tracking. An Artificial Neural Network is applied to build a map between observable flesh-points, unknown tongue shape, and pharyngeal region and is optimized to efficiently address nonlinearity.

• The Journal of Information Technology
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• v.8 no.2
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• pp.1-16
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• 2005

In high education, knowledge is the very important resource and output. Knowledge management is the art of creating additional value from academic knowledge assets. The e-community is the network community, newly created by information communication technology, and the critical place that share and transfer people's the various knowledge and thinking and the effective space that can apply knowledge management. If we construct a convenient and useful e-community in our university, we will be able to increase the student's intellectual needs, and create new knowledge. Web-portal will promote the activity of e-community providing easy to access and personalized web circumstance. The emergence of Internet and Web access to all university services will force institutions to rethik everything. We should reconfigure our academic environment in order to adapt information technology and educational change, and must do change management based on their structure and culture.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.9
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• pp.1379-1384
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• 2017

To guarantee safety and reliability, RAMS(Reliability Availability Maintainability and Safety) activity for a communication software in train communication network is studied. In this paper, preliminary hazard analysis in RAMS activities is studied for the communication software. Preliminary hazard analysis is done through library for communication software that the specification is defined by IEC 61375. The hazards are defined, then causes and consequence for each hazard are defined. The total 36 preliminary hazards are classified. For high severity hazards are changed to acceptable level by upgrading of system requirement specification.

• Journal of Biomedical Engineering Research
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• v.15 no.3
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• pp.355-364
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• 1994

The most important requirement for the controller of a prosthetic arm is that it has a high fidelity discriminator where the motion control may be performed open loop using EMG signals as a control source. Therefore, it is very effective method to reduce the influence of misclassification of classifier for the total system performance. This paper presents the new function discrimination method which combines MLP classifier and frizzy filter by stages for the requirement. The major advantage of MLP is a consistent learning capability for the easy adaptation to environments. The fuzzy filter uses all informations of MLP outputs and prior EMG activity informations which increase as the experience increases. That property is superior to one which uses maximum output of MLP in view of information amounts and quality. Simulation result shows that proposed method is superior to the probabilistic model, MLP model and the combined model of both in the respect of discrimination quaity.

• 한국HCI학회:학술대회논문집
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• 2007.02a
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• pp.455-460
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• 2007

본 논문에서는 지능형 주택의 필수 요소 기술의 하나인 사용자 신원을 파악하며 또한 현재 사용자의 위치를 추정하는데 직접적으로 사용이 가능한 방으로의 들어오고 나감 (즉, 출/입 행동)을 감지하는 효과적인 방법을 제안한다. 개발된 시스템은 [1]에 제안되었던 방법을 개선시킨 것으로 초음파 센서 및 PC를 이용하여 만들어졌던 시스템을 8bit 마이크로 컨트롤러를 사용한 임베디드 시스템의 형태로 구현하였다. 이와 더불어 복수개의 센싱 시스템에서 감지한 신호를 블루투스에 기반한 무선 전송 채널을 통해 1개의 중앙 컴퓨터로 전송하는 무선 센서 네트워크를 구성하였다. 이렇게 구성된 센서 네트워크를 통해 각 센싱 모듈이 검출한 사용자 인식 및 인식된 사용자의 출/입 이벤트를 기록, 저장하는 시스템을 구현하였다. 개발된 시스템은 임베디드 시스템의 특성에 적합하도록 기존 PC기반으로 개발된 알고리즘을 수정 개선하였고, 성능 검증을 위해 일반 가정집에 3개의 센싱 모듈을 설치하여 3명의 사용자를 대상으로 실험을 수행하였다.

• International journal of advanced smart convergence
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• v.6 no.3
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• pp.38-44
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• 2017

Currently, wired gables have been installed or portable storage devices have been installed for data acquisition of flying drone. In this paper, we propose a technology to transmit data wirelessly by sensing information such as battery discharge value, acceleration, and temperature by attaching RF sensor to a drone. The purpose of this paper is to design and develop the monitoring technology of agriculture drone battery usage in real time using RF sensor. In this paper, we propose a monitoring system that can check real time data of battery changed value, temperature, and acceleration during pesticide control activity of agricultural drone.

• KIEE International Transactions on Electrophysics and Applications
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• v.5C no.2
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• pp.63-66
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• 2005

This paper describes analysis and pattern recognition techniques for Partial Discharge(PD) signals in Gas Insulated Switchgears (GIS). Detection of PD signals is one of the most important factors in the predictive maintenance of GIS. One of the methods of detection is electro magnetic wave detection within the Ultra High Frequency (UHF) band (300MHz $\~$ 3GHz). In this paper, PD activity simulation is generated using three types of artificial defects, which were detected by a UHF PD sensor installed in the GIS. The detected PD signals were performed on three-dimensional phi-q-n analysis. Finally, parameters were calculated and an Artificial Neural Network (ANN) was applied for PD pattern recognition. As a result, it was possible to discriminate and classify the defects.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.141-142
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• 2008

According as USN's application field is magnified, various results are appearing. Efforts to apply this results in life are progressing. In car field, is used in control that level of significance is less. In home network, is used in a household electric appli-ance control and electric lamp control, security etc.. In factory, is used in process control, and is used in various application because is involved with RFID leader recently. In this paper, patient's status monitoring, USN use wish to. Because USN can utilize existent network, it is system that can transmit various data as that change passed information.Wish to send information that get in health-care board. Information that can get in health-care board is blood pressure, blood sugar, stroke, SPO2, ECG, the activity amount, position. Also, wish to forecast use possibility to involved various service, silver industry with database.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.60-64
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• 1995

The conventional neural network models are a parody of biological neural structures, and have very slow learning. In order to emulate some dynamic functions, such as learning and adaption, and to better reflect the dynamics of biological neurons, M.M. Gupta and D.H. Rao have developed a 'dynamic neural model'(DNU). Proposed neural unit model is to introduce some dynamics to the neuron transfer function, such that the neuron activity depends on internal states. Integrating an dynamic elementry processor within the neuron allows the neuron to act dynamic response Numerical examples are presented for a model system. Those case studies showed that the proposed DNU is so useful in practical sense.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.1
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• pp.183-196
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• 2015

With widespread use of smart phones, SNS has been growing rapidly. Companies are required to do its utilization and a preemptive response. However, taking advantage of SNS is still insignificant in the companies. Compared with traditional marketing, people still consider the SNS marketing unfamiliar. This study is aimed at widening the breadth of understanding of marketing activity using SNS and inquiring into its effective applications. In an effort to achieve this research objective, first, this study analyzed the aspect of real applications by reviewing diverse practical business cases. Second, this study provided the momentum of the understanding of SNS marketing-based knowledge. The effective method of producing consumer-intimate products and services lies in customers' participation in development and production. SNS marketing is the very communication and gives ear to a customer's voice. Earnest and creative SNS marketing will play a role as a stepping-stone for businesses to move much closer to a customer.