• International Journal of Internet, Broadcasting and Communication
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• v.10 no.2
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• pp.74-78
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• 2018

Recently, due to decrease hardware prices and the development of technology, analog signage has been changing to digital signage for providing content such as advertisements, videos. Furthermore, in order to provide advertisements and contents to users more effectively, technical researches are being conducted in various industries. In addition, including digital signage that uses displays, it can be seen that it provides advertisements and contents using diverse devices such as LED signage, smart pads, and smart phones. However, most digital signage is installed in one place to provide contents and provides interactivity through simple events such as manual content provision or touch. So, in this paper, we suggest a new object detection algorithm based on an adjacent frames based image correction algorithm for interactive building signage.

• Smart Media Journal
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• v.5 no.2
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• pp.24-32
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• 2016

Recently, the development of electronic teaching materials and the demand of digital learners have led the needs on the education contents that replace learning from character information and the change of an information design method for this. Chinese character education in the traditional schooling mainly focuses on writing and memorization (semantic memory). This way that the stories do not exist has brought the learners' recognition that Chinese character is difficult to learn. Meanwhile, for a language study such as English, cross-media development between printed materials and audio-visual materials has been actively introduced. The method that extends episode memories along with memorization through a story is widely used. Therefore, this content suggests a prototype, which is broken away from an existing way of learning Chinese character that mainly focuses on writing, one sided instruction and information cramming. This makes learners learn through a story from printed materials and animation. Furthermore, it suggests a method that extends episode memories through Chinese education contents based on IoT explaining the principle of Chinese character by combining IT technology (information and communications, IoT) and education contents on block toys.

• Annual Conference of KIPS
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• 2014.11a
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• pp.1183-1186
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• 2014

Our research is different form traditional to have some large LED screen grouping together to constitute multi-vision technique. In this paper, we purpose a method of using k-path diffusion method to build connect between the devices and find an optimal data transmission path. In second half of this paper, through practical application, we using this technique transmitting data successfully and achieving a simple Multi-vision effect. This technique possess smart devices and Wifi P2P's features, these features improve system's dynamic and decentralized processing ability make our technique has high scalability.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.445-447
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• 2019

4차 산업혁명 시대의 도래에 따라 다양한 사물들과 연결되어 새로운 서비스를 제공하는 사물인터넷 기술이 각광받고 있으며, 실생활에 적용하기 위한 연구들이 지속적으로 진행되고 있다. 본 논문에서는 도서관의 좌석과 좌석에 설치된 조명을 자동으로 관리 및 제어하기 위한 사물인터넷 기술 기반의 스마트 도서관 자동화 모델을 제시한다. 제시된 모델은 좌석과 조명을 자동으로 관리하기 위한 아두이노 보드, 사용자 인터페이스 제공을 위한 모바일 웹 서버, 좌석 상태 관리를 위한 데이터베이스 서버, 그리고 구성요소 간 연동을 위한 게이트웨이로 구성된다. 좌석에 부착된 압력 센서로부터 압력을 감지하여 좌석의 점유 및 비점유 상태를 판단하고, 판단 결과에 따라 조명을 제어하며 사용자에게 잔여 좌석 정보를 제공한다. 이를 통해 사용자에게는 편리함을 제공해주는 것과 동시에 에너지 효율을 극대화하고자 한다.

• Smart Media Journal
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• v.7 no.4
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• pp.79-89
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• 2018

In recent years, falls among elderly people have gained serious attention as a major cause of injuries. Falls often lead to fatal consequences due to lack of prompt response and rescue. Therefore, a more accurate fall detection system and an effective feature extraction technique are required to prevent and reduce the risk of such incidents. In this paper, we proposed an efficient feature extraction technique based on multiple sliding windows and validated it through a series of experiments using supervised learning algorithms. The experiments were conducted using the public datasets obtained from tri-axial accelerometers. The results depicted that extraction of the feature from adjacent sliding windows led to high accuracy in supervised machine learning-based fall detection. Also, the experiments conducted in this study suggested that the best accuracy can be achieved by keeping the window size as small as 2 seconds. With the kNN classifier and dataset from wearable sensors, the experiments achieved accuracy rates of 94%.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.651-652
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• 2022

시각장애인들의 가장 큰 불편함인 보행을 도와주는 수단은 흰 지팡이와 안내견이 전부이다. 이를 개선하고자 본 논문에서는 센서 프로그래밍(초음파 센서로 장애물 인지 후 모터로 진동 전달), led(시각장애인 인지), RFID(교통카드)를 아두이노, IoT 기술을 사용하여 시각장애인 수(약 25만 명)의 비해 턱없이 부족한 안내견들(80여 마리)에 준하는 스마트 지팡이를 구현하였다.

• International journal of advanced smart convergence
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• v.5 no.3
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• pp.16-26
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• 2016

This proposed project is about a bicycle anti theft devised system which helps people protect the bicycle from theft and helps to track the stolen bicycle's location using a smart phone. Safety bike uses two main devices to keep the bicycle secured, the vibration sensor and GPS sensor. The purpose of this project is to put all these small devices into one well connected system which will help the bicycle owner have more control over the security of his own bicycle. The whole system can be divided into two main parts. The first part is about the hardware development whereby all electronics components are connected via the circuit design using wire wrapping technique. This hardware part includes, a vibrations sensor, a GPS receiver, a toggle switch, LED light, Bluetooth and a buzzer. Wireless Bluetooth signals are used as the means of communication between the smartphone and the microcontroller. The second part is the software part which is being to program and control the whole system. The program is written using MikroBasic, a full-featured Basic compiler for microcontroller based systems. In conclusion, this system is designed to enable user to have control in securing his/her bicycle also being able to find and locate it at any time using GPS receiver and mobile android application.

• Proceedings of the Safety Management and Science Conference
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• 2013.11a
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• pp.393-400
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• 2013

Globally, smart phones have been rapidly distributed, which has led to changes in people's life cycle. Most people who are under 60 are supposed to use smart phones. Additionally, as the ratio of people who are interested in physical exercise is increasing, some applications for smart phones can manage dividual's exercise with the web servers. However, most of them can only check how much individual works out and cannot compare other's body type and life environment. Moreover, users cannot share their own data with others. This paper proposed the system which can resolve those kinds of problems through data mining techniques. The suggested model will have ability to figure out the relation between body type and the amount of exercise, find out if his work is proper from the result of classification and can pick out the features which is common to people who have similar body type and the amount of workout by applying data mining techiques. This model also will be able to recommend the proper amount of workout to each individual in order that they keep good health state efficiently.

• Advances in nano research
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• v.16 no.1
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• pp.53-69
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• 2024

Advancements in the technology of building materials has led to diverse applications of nanomaterials with the aim to monitor concrete structures. While there are myriad instances of the use of nanoparticles in building materials, the production of smart nano cement-composites is often expensive. Thereupon, this research aims to discover a sustainable nanomaterial from tyre waste using the pyrolysis process as part of the green manufacturing circle. Here, Nano Structure Tyre-Char (NSTC) is introduced as a zero-dimension carbon-based nanoparticle. The NSTC particles were characterized using various standard characterization techniques. Several salient results for the NSTC particles were obtained using microscopic and spectroscopic techniques. The size of the particles as well as that of the agglomerates were reduced significantly using the milling process and the results were validated through a scanning electron microscope. The crystallite size and crystallinity were found to be ~35nm and 10.42%, respectively. The direct bandgap value of 5.93eV and good optical conductivity at 786 nm were obtained from the ultra violet visible spectroscopy measurements. The thermal analysis reveals the presence of a substantial amount of carbon, the rate of maximum weight loss, and the two stages of phase transformation. The FT-Raman confirms the presence of carboxyl groups and a ID/IG ratio of 0.83. Water contact angle around 140° on the surface implies the highly hydrophobic nature of the material and its low surface energy. This characteristic process assists to obtain a sustainable nanomaterial from waste tyres, contributing to the development of a smart building material.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.71-77
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• 2024

The increasing use of smart devices in South Korea has led to a rise in patients with spinal disorders. This study aims to develop an Android application with exercise prompts to prevent spinal disorders, enhance the usability of healthcare applications, and utilize Android's overlay technology to encourage physical activity. Considering South Korea's total population, it is estimated that around one million individuals may suffer from spinal disorders due to smart device usage. Emphasizing the importance of maintaining proper posture and regular exercise habits, this research highlights the need for innovative application development to assist users in preventing musculoskeletal disorders caused by smart device usage.