• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.8
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• pp.1347-1351
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• 2006

Microwave radiometry, as a non-invasive technique which doesn't pierce inside human and can measure the temperature, is to diagnose early the disease or abnormality by measuring the temperature inside human. In this paper, as an antenna for measuring human radiometric signals, we simulated and measured a dipole-type antenna with circular loops. As a measured result has a ultra wideband characteristic of $130%(0.8\sim3.8GHz)\;for\;511\leq-10dB$, it is considered to be suitable to detect the position and size of human tissue having various diseases.

• 전기의세계
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• v.20 no.3
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• pp.8-16
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• 1971

The proper design of man-machine systems requires as much understanding of the human element as of the machine. Although the modern systems engineer can obtain a very high degree of repeatability and accuracy for the characteristics of a machine, these of the human elements are much less well known. Due to the complexity and importance of modern man-machine systems, this difficult problem has recently received increasing attention. In this paper, the dynamic characteristics of the human operator have been newly determined by impulse estimation using Pseuo-random binnary signals as a test signal and the quasi-linear human operator models used as an element of a closed-loop control system adopted from McRuer & Krendel and Bekey. Also the techniques and instruments are presented for correlating the actual characteristics of the constructed system with anticipated theoretical values. Consequently, in spite of many problems remain yet, experimental results were very satisfactory.

• Science of Emotion and Sensibility
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• v.5 no.1
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• pp.17-24
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• 2002

This research was the first step to develop Expert System for Evaluation of Human Sensibility, where human sensibility can be inferred from objective physiological signals. The study aim was to develop an algorithm in which human arousal level can be judged using measured physiological signals. Fuzzy theory was applied for mathematical handling of the ambiguity related to evaluation of human sensibility, and the degree of belonging to a certain sensibility dimension was quantified by membership function through which the sensibility evaluation was able to be done. Determining membership function was achieved using results from a physiological signal database of arousal/relaxation that was generated from imagination. To induce one final result (arousal level) based on measuring the results of more than 2 physiological signals and the membership function of each physiological signal, Dempster-Shafer's Rule of Combination in Evidence was applied, through which the final arousal level was inferred.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2011.11a
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• pp.9-10
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• 2011

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3222-3226
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• 2000

In this study, the variations of human physiological signals(EEG and ERG) were measured on a various optic stimulation. From the analysis of the physiological signals, it was cleared that the optimum intensity of light exits at its sensing.

• International Journal of Contents
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• v.18 no.2
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• pp.68-80
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• 2022

The health of the human heart is commonly measured using ECG (Electrocardiography) signals. To identify any anomaly in the human heart, the time-sequence of ECG signals is examined manually by a cardiologist or cardiac electrophysiologist. Lightweight anomaly detection on ECG signals in an embedded system is expected to be popular in the near future, because of the increasing number of heart disease symptoms. Some previous research uses deep learning networks such as LSTM and BiLSTM to detect anomaly signals without any handcrafted feature. Unfortunately, lightweight LSTMs show low precision and heavy LSTMs require heavy computing powers and volumes of labeled dataset for symptom classification. This paper proposes an ECG anomaly detection system based on two level BiLSTM for acceptable precision with lightweight networks, which is lightweight and usable at home. Also, this paper presents a new threshold technique which considers statistics of the current ECG pattern. This paper's proposed model with BiLSTM detects ECG signal anomaly in 0.467 ~ 1.0 F₁ score, compared to 0.426 ~ 0.978 F₁ score of the similar model with LSTM except one highly noisy dataset.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2010.11a
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• pp.989-990
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• 2010

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2014.11a
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• pp.248-251
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• 2014

We develop the signal processing method for implementing the human perceptual variant on frequency and space. The human visual perceptual sensitivity varies as frequency components and the human perceivable resolution diminishes as the distances further from the eye-focused point. For realizing the frequency sensitivity, we developed the signal direction adaptive multiband energy scaling method to weight the frequency components. The low-pass filtering is designed on the developed energy scaling method for diminishing perceivable resolutions as the deviated distance from the eye-focused point. The developed method not only enhances the frequency components of image signals at the eye-focused region but also smoothes non-perceivable detailed image signals at non-focused regions. The proposed method is verified by the subjective and objective evaluations that it can improve human perceptual visual quality.

• Asia pacific journal of information systems
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• v.29 no.2
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• pp.283-307
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• 2019

Although crowdfunding has emerged as a promising route to fundraising success, little is known about the specifics of equity-based crowdfunding. Using a data set of 1,111 start-ups with investment funding totaling over $4.67 billion, we analyzed the association between a start-up's underlying characteristics and its funding outcome. We found that a start-up's funding outcome is positively associated with its human capital, but negatively associated with earlier investors' business experience. Furthermore, our analyses revealed that investors have higher levels of social capital are a noise signal to later investors. These findings shed light on the critical role of human capital, investors' experience, and social capital as credible signals for start-up investment in equity crowdfunding.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2270-2278
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• 2017

There are many research to find not only user data but also physical information about objects or human in radio signals. And we can obtain physical information from the wireless signals such as RSSI (Received Signal Strength Indicator), Doppler frequency and other values. For example, the Doppler frequency is generated by the object moving physically in wireless signals used for communication. By analyzing the Doppler frequency, the moving speed and direction of the object can be predicted. In this paper, we study the previous research which is to detect the moving objects or human using wireless signals, 802.11a signals. We introduce and verify the method to improve the frequency domain resolution of commercial 802.11a receivers to observe the doppler frequency and obtain the information of the moving objects or human.