• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.101-108
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• 2019

The purpose of this study was to investigate the subjective evaluation and the characteristics of each type of maternal self-awareness. It was to provide the basic data necessary for the development of clothing that can improve the satisfaction of the body shape of pregnant women. This study was conducted with Q methodology, and was performed for pregnant women over 6 months. Analysis was done with QUANL program. The recognition types of body shape of pregnant women was analyzed as three types: thin limbs and central hemispherical abdominal body shape, under abdomen protruding body shape, and thick upper arm and central abdomen protruding body shape. The thin limbs and central hemispherical abdominal body shape were considered to be normal, with the lowest BMI index before pregnancy. And the limbs were thin and the other parts were not overweight, but recognized that only the belly came out. The under abdomen protruding body shape was overweight with the highest BMI index before pregnancy. In addition to the circumference of the chest and hips, the body was gaining weight and was perceived to have a belly drooping down. The thick upper arm and central abdomen protruding body shape recognized that the middle part of the abdomen protruded like the first type, but it was different from the first type because the upper arm was thickened. In the future study, it would be a meaningful study to compare and analyze the difference with the recognition body of this study through analyzing the actual body shape of pregnant women.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2000.06a
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• pp.1699-1703
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• 2000

While the booming occurs in a cabin, the powertrain and subframes which are the main sources and paths of the booming, show the rigid body motions. This paper presents a technique to predict the booming noise in a car using the rigid body information of the important parts. The rigid body information comes from the CAD data, from which we can predict the response of the complex system. Since the mechanism of this technique is very similar to the finite element formulation, we can apply it to the complex system with ease.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.244-245
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• 2021

Recently, A fever test is essential in a crowded places over the world because of COVID-19. A fever test is also conducted for visitors through a thermometer or a thermal imaging camera In Korea leading world with K-quarantine. However, the current body heat measurement process is divided into the steps of body heat examination and entry register. Therefore, access control person must be deployed at the entrance. In addition, since the accessor directly measures body heat and records personal information, the reliability of the information is low and the risk of personal information leakage is high. Therefore, in this paper, we consider the non-face-to-face smart authentication fever detector and propose a smart authentication process to unify the process for dualized body heat measurement and access recording.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.5
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• pp.1856-1869
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• 2015

This paper addresses the issues of 3D human activity detection, tracking and recognition from RGB-D video sequences using a feature structured framework. During human tracking and activity recognition, initially, dense depth images are captured using depth camera. In order to track human silhouettes, we considered spatial/temporal continuity, constraints of human motion information and compute centroids of each activity based on chain coding mechanism and centroids point extraction. In body skin joints features, we estimate human body skin color to identify human body parts (i.e., head, hands, and feet) likely to extract joint points information. These joints points are further processed as feature extraction process including distance position features and centroid distance features. Lastly, self-organized maps are used to recognize different activities. Experimental results demonstrate that the proposed method is reliable and efficient in recognizing human poses at different realistic scenes. The proposed system should be applicable to different consumer application systems such as healthcare system, video surveillance system and indoor monitoring systems which track and recognize different activities of multiple users.

• Proceedings of the KIEE Conference
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• 2004.11b
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• pp.46-50
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• 2004

This paper analysed the induced current density inside human body of hot-line worker for 765kV double circuit transmission line according to locations of human body Human was modelled by several organs, which included brain, heart, lungs, liver and intestines. We applied the 3 dimensional boundary element method to calculate induced electric fields.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.405-407
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• 2008

Body fat measures a large number places body because error is oversized that measure in single specification region to measure body whole body fat degree by non-invasive optical method and bio-electrical impedance method. Use LED source of light that center wavelength is 660nm wavelength and measure at same time by BIA(Bio-electrical Impedance Analysis) method And then photo-electricity method calculate fat correlation formula.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.689-692
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• 2005

Bioelectrical Impedance Analysis(BIA) can measure body water amount and then body fat mass. Locate 4 electrode in palm to measure efficiently and flow current(50kHz, 800uA) in body for measuring voltage and capacitance. And proposed method to measure body fat with hight, weight, age and distinction of sex.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.425-428
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• 2017

This paper describes a full-wave rectifiers for energy harvesting circuit using a vibrational energy. The designed circuit is applied to the negative voltage converter with the body-bias technique using the Beta-multiplier so that the power efficiency is excellent even at the low voltage, and the comparator is designed as the bulk-driven type. The proposed circuit is designed with $0.35{\mu}m$ CMOS process, and The designed chip occupies $931{\mu}m{\times}785{\mu}m$.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.8
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• pp.1961-1972
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• 2014

Recently, with the increasing of the interest in the integration of medical technology and information communication technology, researches on WBAN (Wireless Body Area Networks) that try to apply sensor network to the human body have been processed actively. The existing sensor network technology has the potential to be used in WBAN, but it has some limitations also. In particular, because the sensors are likely to communicate through each part of the body, it has a very different network environment from the sensor network that uses a free space. Therefore, researches on WBAN have a variety area of study that slightly different from the conventional sensor networks and take into account the characteristics of the body. In this study, we investigate the environmental characteristics of WBAN that are separated from the conventional sensor network, and the research trends of WBAN systematically by using the technique of SLR (Systematic Literature Review) from 2001 around when the concept of WBAN has been introduced. The investigation includes the classification of research and the researcher's features. And the survey results and the outlook for further study are summarized.

• Korean Journal of Remote Sensing
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• v.31 no.4
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• pp.337-346
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• 2015

Water body extraction based on backscatter information is an essential process to analyze floodaffected areas from Synthetic Aperture Radar (SAR) image. Water body in SAR image tends to have low backscatter values due to homogeneous surface of water, while non-water body has higher backscatter values than water body. Non-water body, however, may also have low backscatter values in high resolution SAR image such as Kompsat-5 image, depending on surface characteristic of the ground. The objective of this paper is to present a method to increase backscatter contrast between water body and non-water body and also to remove efficiently misclassified pixels beyond true water body area. We create an entropy image using a Gray Level Co-occurrence Matrix (GLCM) and classify the entropy image into water body and non-water body pixels by thresholding of the entropy image. In order to reduce the effect of threshold value, we also propose Water Body Texture Index (WBTI), which measures simultaneously the occurrence of repeated water body pixel pair and the uniformity of water body in the binary entropy image. The proposed method produced high overall accuracy of 99.00% and Kappa coefficient of 90.38% in water body extraction using Kompsat-5 image. The accuracy analysis indicates that the proposed WBTI method is less affected by the choice of threshold value and successfully maintains high overall accuracy and Kappa coefficient in wide threshold range.