• Science of Emotion and Sensibility
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• v.18 no.4
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• pp.25-34
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• 2015

TThis study explored the requirement of fabric sensor that can measure the motion of the joint effectively by measuring and analyzing the variation in electric resistance of a sensor in accordance with bending and stretching motion of the arm by the implementation of a motion sensor utilizing conductive fabric. For this purpose, on both sides of two kinds of knitted fabric, namely 'L' fabric and 'W' fabric Single Wall Carbon Nano-Tube(SWCNT) was coated, fabric sensor was developed by finishing them in a variety of ways, and the sensor was attached to the arm band. The fabric sensor consisted of total 48 cases, namely background fabric for coating, the method of sensor attachment, the number of layer of sensors, the length of sensor, and the width of sensor. The performance of fabric motion sensors in terms of a dummy arm, that is, a Con-Trex MJ with 48 arm bands around it was evaluated. For each arm band, a total of 48, fastened around the dummy arm, it was adjusted to repeat the bending and stretching at the frequency : 0.5Hz, ROM : $20^{\circ}{\sim}120^{\circ}$, the voltage was recorded for each case after conducting three sets of repeat measurement for a total of 48 cases. As a result of the experiment, and as a consequences of the evaluation and analysis of the voltage based on the uniformity of the base line of the peak-to-peak voltage(Vp-p), the uniformity of Vp-p within the same set, and the uniformity of the Vp-p among three sets, the fabric sensors that have been configured in SWCNT coated 'L' fabric / welding / two layers / $50{\times}5mm$, $50{\times}10mm$, $100{\times}10mm$, and SWCNT coated 'W' fabric / welding / two layers / $50{\times}10mm$ exhibited the most uniform and stable signal value within 5% of the total variation rate. Through all these results of the experiment, it was confirmed that SWCNT coated fabric was suitable for a sensor that can measure the human limb operation when it was implemented as a fabric sensor in a variety of forms, and the optimal sensor types were identified.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2013.06a
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• pp.97-100
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• 2013

최근 4세대(4G) 통신망으로의 전환의 가속화와 스마트 모바일 기기의 확산으로 인하여 무선 통신망에서 데이터 트래픽이 급증하고 있다. 이러한 급증하는 데이터 트래픽을 분산시키기 위하여 2개의 주파수 밴드를 사용하는 멀티 캐리어 기술이 선보이고 있다. 방송 디스크는 서버가 데이터베이스에 저장된 모든 데이터를 연속적으로 다수의 모바일 클라이언트에게 방송하고, 클라이언트는 방송 채널을 감시하여 원하는 데이터가 방송될 경우 방송 채널로부터 데이터를 수신하는 통신 구조이다. 이런 관점에서 방송 채널은 클라이언트가 데이터를 액세스할 수 있는 디스크의 역할을 담당한다. 본 논문에서는 무선 통신망이 멀티 캐리어를 지원할 경우, 클라이언트에서 실행되는 읽기 전용 트랜잭션의 정확성을 보장하기 위한 동시성 제어 기법(Dual-Channel based Concurrency Control: DCC)을 제안한다. 기존에 동시성 제어 기법들은 단일 방송채널에서 트랜잭션의 철회률을 줄이기 위하여 추가적인 제어 정보들을 방송하거나 방송 데이터의 타임스탬프 필드를 이용하고 있다. 클라이언트에서 실행되는 트랜잭션은 단일 방송 사이클이 아니라 여러 방송 사이클에 걸쳐서 실행된다. 이러한 방송 디스크 환경의 특징은 클라이언트 트랜잭션이 디스크에서 방송 인덱스를 판독하여 방송 프로그램 상에서 트랜잭션에 필요한 데이터가 방송 될 때까지 기다리게 된다. 이와는 달리 DCC는 주력 망과 보조 망에서 방송되는 방송 프로그램의 순서를 서로 다르게 하여 데이터 판독에 필요한 대기 시간을 줄일 수 있다. 보조망의 방송 프로그램의 순서는 주력망의 방송 프로그램 순서의 역순서로 방송함으로써 보조 망 또는 주력 망에서 실행되고 있는 트랜잭션이 다른 방송 채널의 방송 인덱스를 판독하지 않아도 방송 프로그램 순서를 예측할 수가 있다. 그 결과, DCC는 방송 디스크의 데이터 판독에 요구되는 대기시간을 줄여 읽기 전용 트랜잭션의 철회률을 줄일 수 있다는 장점을 갖는다.

• Journal of Digital Contents Society
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• v.18 no.1
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• pp.87-91
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• 2017

Recently, several kinds of researches using IoT wearable devices are active in the field of sports, design, emotional sciences and so on. The human bio data such as blood pulse, ECG, SKT signal, and GSR Signal producing from IoT wearable devices such as Watch, Smart-band, Grass can adapt to the meaningful future applications. Using the human's emotional data and a physical status with variation and so on, we can individually get the personal status. Due to knowing the personal emotion or physical status is related and connected to the valuable wallet of customers, the approach is more important in nowadays. Therefore, the personal information can effectively adapt to the marketing of the culture industry, which deals with emotions of customers. The research shows implementation steps for explaining overall architecture of the convergence research between Art and Technologies.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.39C no.4
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• pp.387-399
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• 2014

This study proposes strategies for economic development through mobile in Africa where mobile emerges as an infra to solve socioeconomic problems. It analyzes economy and ICT industry in Africa and studies several cases that are utilized in agriculture, finance, education, and healthcare. It also examines economic development theory and the impact of broadband on economic growth and development. It is necessary to leapfrog to mobile to achieve an information society and a compact industrialization based on ICT because fixed-line is very poor and expensive in Africa. Building a mobile broadband infra, supporting a dissemination of low-end smartphones and a government's support for mobile contents are necessary to achieve a leapfrogging development through mobile in Africa. The findings of this study provide additional insights for Korean ICT companies to consider a business in Africa.

• The Journal of Society for e-Business Studies
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• v.22 no.2
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• pp.1-18
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• 2017

Recently, identification of the extremely stressed condition of children is an essential skill for real-time recognition of a dangerous situation because incidents of children have been dramatically increased. In this paper, therefore, we present a model based on machine learning techniques for stress status identification of a child by using bio-signals such as voice and heart rate that are major factors for presenting a child's emotion. In addition, a smart band for collecting such bio-signals and a mobile application for monitoring child's stress status are also suggested. Specifically, the proposed method utilizes stress patterns of children that are obtained in advance for the purpose of training stress status identification model. Then, the model is used to predict the current stress status for a child and is designed based on conventional machine learning algorithms. The experiment results conducted by using a real-world dataset showed that the possibility of automated detection of a child's stress status with a satisfactory level of accuracy. Furthermore, the research results are expected to be used for preventing child's dangerous situations.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.4
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• pp.357-364
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• 2015

In this paper, we designed and implemented a PIFA(Planar Inverted F Antenna) + IFA(Inverted F Antenna) hybrid MIMO(Multi Input Multi Output) antenna for the hexa mobile communication service band. By the simultaneous operation both PIFA and IFA using the coupled feeding structure, we tried for application to modern mobile phones that have large ground size. A PIFA is applied to the ground area, and an IFA is applied to no ground small space on top of the phone. A diagonal fed MIMO antenna is implemented PCB embedded type without antenna carrier component. Implemented antenna on the bare board measured within 3 : 1 for VSWR under hexa mobile communication band as CDMA, GSM900, DCS, KPCS, USPCS, and WCDMA. Measured average gains and efficiencies were -5.19~-3.16 dBi and 30.27~48.26 % for the CDMA, GSM900 band, and -9.50~-5.19 dBi and 11.23~30.28 % for the DCS, KPCS, USPCS, WCDMA band. It's shown that studied antenna can be applied to the antenna for the modern mobile phone.

• Journal of Digital Contents Society
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• v.18 no.3
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• pp.485-497
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• 2017

People can access to their vital signs easy through portable devices and wearable devices. The vital signs are used only for the purpose of health care, and can not be found when they are used for purposes other than health care. In this paper, we propose a web site to judge the emotional state of a viewer by using vital signs provided by smart bands. On the proposed web sites, user can see the overall trend of a person's vital signs and the vital signs of a person's best scenes and specific scenes. In this paper, we recognized the necessity to utilize the vital signs as an aspect other than existing health care. In this study, we analyzed the emotional state of people with vital signs and implemented them as a web site. In this paper, we store vital signs in a database, apply algorithms based on stored data, and draw graphs to provide user - specific graphs and graphs of all users on the Web site.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.6
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• pp.558-564
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• 2015

This study is how to effectively apply this SNS based education to multicultural families and is to analyze how any change in the lives of multicultural families. Multicultural education in Korea has been steadily run by the government and local authorities, however the lack of free time, distances, for economic reasons and unfamiliarity of the new culture and language, immigrant women are not getting the education. To solve this problem, we provide the necessary information, such as culture, education, laws of the Korea for multicultural families and analyze their effect on life adjustment. And we also analyze changes to relieve loneliness. As a result multicultural family education utilizing SNS is verified that there is effectiveness to adapt and understand Korea. As well as inter-family, multicultural members to seamlessly communicate between each other that proved helpful to relieve loneliness.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.42 no.3
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• pp.686-697
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• 2017

Rapid growth in mobile communication and the proliferation of smart devices have drawn significant utilization of machine generated data. Behavior tracking technology now are utilized in the various fields based on extracting data using the sensor and device. We deploy IoT based behavioral intervention system in Suwon mental health center to improve the effectiveness of non-medicine care for senior people. Using smart activity trackers and BLE scanner devices, we proposed a location-based behavioral intervention system and verify the integrity of the harvested data.

• Korean Journal of Remote Sensing
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• v.38 no.5_1
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• pp.545-557
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• 2022

This study used high-resolution satellite images and supervised classification technique based on machine learning method in order to detect the areas affected by wildfires in the demilitarized zone (DMZ) where direct access is difficult. Sentinel-2 A/B was used for high-resolution satellite images. Land cover map was calculated based on the SVM supervised classification technique. In order to find the optimal combination to classify the DMZ wildfire damage area, supervised classification according to various kernel and band combinations in the SVM was performed and the accuracy was evaluated through the error matrix. Verification was performed by comparing the results of the wildfire detection based on satellite image and data by the wildfire statistical annual report in 2020 and 2021. Also, wildfire damage areas was detected for which there is no current data in 2022. This is to quickly determine reliable results.