• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.6
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• pp.507-514
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• 2015

The Internet of Things era is approaching where all the things are equipped with smart sensors and communicate through internet. The three core technologies of the Internet of Things are 'detection technology' to get information from things and the environment, 'wired and wireless communications and network infrastructure skills' that support to connect things to the internet, and 'service interface technology' that processes the information appropriate to various services. Smart sensor application can expand to smartphone, smart cars, smart home systems, wearable electronic devices, telemedicine systems, and environmental monitoring systems, etc. In particular, technologies that mimic the five human senses. This study reviews the biological principles of the human senses and the principles of operation, research & development status, technology trends and market analysis of the sensors.

• Journal of Korea Multimedia Society
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• v.13 no.10
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• pp.1494-1505
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• 2010

A variety of sounds take place in medium and small-sized manufactories producing many kinds of parts in a small quantity with one press. We developed the identification system for the quality of parts using HTM(Hierarchical Temporal Memory)-based sound recognition. HTM is the theory that the operation principle of human brain's neocortex is applied to computer, suggested by Jeff Hopkins. This theory memorizes temporal and spatial patterns hierarchically about the real world, which is known for its cognitive power superior to the previous recognition technologies in many cases. By applying the HTM model to the sound recognition, we developed the identification system for the quality of molding parts. In order to verify its performance we recorded the various sounds at the moment of producing parts in the real factory, constructed the HTM network of sound, and then identified the quality of parts by repeating learning and training. It reveals that this system gets an excellent and accurate results at the noisy factory.

• Journal of Broadcast Engineering
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• v.24 no.5
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• pp.735-742
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• 2019

In this paper, we propose a method of extracting speech features for phoneme recognition based on spikegram. The Fourier-transform-based features are widely used in phoneme recognition, but they are not extracted in a biologically plausible way and cannot have high temporal resolution due to the frame-based operation. For better phoneme recognition, therefore, it is desirable to have a new method of extracting speech features, which analyzes speech signal in high temporal resolution following the model of human auditory system. In this paper, we analyze speech signal based on a spikegram that models feature extraction and transmission in auditory system, and then propose a method of feature extraction from the spikegram for phoneme recognition. We evaluate the performance of proposed features by using a DNN-based phoneme recognizer and confirm that the proposed features provide better performance than the Fourier-transform-based features for short-length phonemes. From this result, we can verify the feasibility of new speech features extracted based on auditory model for phoneme recognition.

• KIISE Transactions on Computing Practices
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• v.22 no.11
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• pp.591-600
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• 2016

Computing technologies are increasingly applied to most casual human environment networks, as computing technologies are further developed. In addition, the rapidly increasing interest in IoT has led to the wide acceptance of speech recognition as a means of HCI. In this study, we present a novel method for recognizing the Korean vowel 'ㅜ', as a part of a phoneme based Korean speech recognition system. The proposed method involves analyses of bulk indicators calculated in the time domain instead of analysis in the frequency domain, with consequent reduction in the computational cost. Four elementary algorithms for detecting typical waveform patterns of 'ㅜ' using bulk indicators are presented and combined to make final decisions. The experimental results show that the proposed method can achieve 90.1% recognition accuracy, and recognition speed of 0.68 msec per syllable.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.1
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• pp.1-7
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• 2023

Convolutional neural networks have already been applied to various fields beyond human visual processing capabilities in the image processing area. However, they are exposed to a severe risk of deteriorating model performance due to the appearance of adversarial attacks. In addition, defense technology to respond to adversarial attacks is effective against the attack but is vulnerable to other types of attacks. Therefore, to respond to an adversarial attack, it is necessary to analyze how the performance of the adversarial attack deteriorates through the process inside the convolutional neural network. In this study, the adversarial attack of the Alexnet and VGG11 models was analyzed using the population sparseness index, a measure of neuronal activity in neurophysiology. Through the research, it was observed in each layer that the population sparsity index for adversarial examples showed differences from that of benign examples.

• Annual Conference of KIPS
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• 2009.04a
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• pp.238-241
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• 2009

정보 과학 기술의 발전과 생활 수준의 향상이 가속화되면서 주변 환경을 구성하는 가구나 공간조차도 정보 통신과 컴퓨터 기능이 내재된 인간과 상호작용할 수 있는 개념으로 확장되고 있다. 또한 비즈니스의 규모가 방대해지면서 협업이 필요성이 증가되는 가운데 단일 사용자에게 맞춰진 표준 데스크탑을 대체할 새로운 기기와 인터페이스에 대한 요구가 증가하고 있다. 본 연구에서는 이런 패러다임에 맞춰 선호되고 있는 테이블탑 컴퓨팅을 다수의 LCD와 PC를 포함하는 분산 하드웨어 방식의 고해상도 대형 디스플레이로 구성하고, 다중 사용자의 입력을 동시적으로 처리할 수 있는 적외선 카메라를 활용한 마커 인식 기반의 탠저블 인터페이스를 개발하였다. 그리고 이 시스템에서 동작하는 고해상도 이미지 뷰어와 퍼베이스브 블록 격파 게임 응용프로그램을 구현하였다.

• Journal of Korea Multimedia Society
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• v.13 no.11
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• pp.1643-1656
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• 2010

It is necessary to develop a system to judge inferiority of goods to minimize the loss at small factories in which produces various kinds of goods with small amounts. That system can be developed based on HTM theory. HTM is a model to apply the operation principles of the neocortex in human brain to the machine learning. We have to build the trained HTM network to use the HTM-based machine learning system. It requires the knowledge for the HTM theory. This paper presents the design and implementation of the training system to support the development of HTM networks which recognize the molding parts to judge its badness. This training system allows field technicians to train the HTM network with high accuracy without the knowledge of the HTM theory. It also can be applied to any kind of the HTM-based judging systems for molding parts.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.12
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• pp.585-588
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• 2015

The technical challenge of 3D image display using the wireless sensor were applied to variable areas and scopes. This techniques need to very accurate location and speed informations and recognitions to moving objects. The tracking challenges of the moving objects location that combined 3D location and speed sensor were applied to sports and healthcare areas. This areas seek to the accuracy and collections and tightly related to image display and analysis techniques. In this paper, We developed the 3D motion display that can be monitor moving objects on the 3D virtual space. For this works, we constructed the database that collected informations through 9-axis sensor and demonstrated the result of 3D motion display on the Window based environments.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.4
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• pp.42-50
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• 2009

Ubiquitous computing technology is widely used in not only our everyday lives but also in education, medical care, military, environment and administration. RFID system, the basis of ubiquitous, is in the spotlight which can be an alternative solution of a bar code recognition system and magnetic system as they basically have practicality and security issues. An electronic authentication named smart-key system is recently concerned by an alternative solution of the security unit for an automobile. RFID system which has a general purpose is also in the limelight by an application technology. In this paper we designed vehicle smart key system with general-propose RFID system that is already in use. First, we designed control unit and RFID card reader for vehicle smart key system. Then we propose an algorithm and prove that the vehicle key system is controllable by showing the result of implementing and testing, after installing. Also security level is enlarged by proposing a authentication protocol between RFID reader and control unit.

• Archives of design research
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• v.11
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• pp.48-58
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• 1995

In 1981. KOREA applied YEAR OF WORLD DISABLED DESIGNNATED BY UN as starting point to begin noticing disabled and gradually improve and understand the problems of the disabled.This study considering the income level and welfare level selected basic most widely used wheelchair as subject of study. Design Application of this study's main analysis are as follolVs 1. MAN-MACHINE INTERFACE STUDY ANALYSIS!Basic concept of wheelchair is for persons uncapable of move by sitting down. so main focus of study was considered on equipment which on chair. 2. WHEELCHAm MOVEMENT STUDY ANALYSISlThrough movement and test measurement which can be considered as basic study of Ergonomics, observe movement changes accordingly. 3. BACK(MAIN) WHEEL AND HANDRIM MOVEMENT ANALYSIS / Seat and wheel as the most important component of a wheelchair, study the relation of handrim and hand movement and test the most effective and comfortable handrim. Direction of the study was concerntrated on three areas, with results and information collected, would like to suggest design change of X type collapsible chair in areas of size of SEAT(air pocket type), HANDRIM(anti-slip hump), ARMHEST(transfer movement, rubber padding. accent), and HANDLE(adjustable, round type). The content started this study is only one small position of understanding the disabled. Also, the importance of one of many business of assisting disabled rehabilitation. (IJISABLED, REHABILITATION. APPROACH)