• Journal of KIISE:Computing Practices and Letters
• /
• v.16 no.12
• /
• pp.1209-1213
• /
• 2010

This paper presents a technique for an Android mobile device to best utilize its surrounding external display device such as high-definition TV, in order to overcome the size and resolution limitation of the small LCD in the mobile device. Unlike current techniques that simply expand the LCD screen image to an external large display, our technique dynamically changes the resolution adapting to capability of the external display. And, the original screen become a remote controller.

• Journal of Korea Multimedia Society
• /
• v.20 no.2
• /
• pp.336-343
• /
• 2017

We propose a real time personalized recommendation algorithm on the mobile device. We use a unified collaborative filtering with reduced data. We use Fuzzy C-means clustering to obtain the reduced data and Konohen SOM is applied to get initial values of the cluster centers. The proposed algorithm overcomes data sparsity since it extends data to the similar users and similar items. Also, it enables real time service on the mobile device since it reduces computing time by data clustering. Applying the suggested algorithm to the MovieLens data, we show that the suggested algorithm has reasonable performance in comparison with collaborative filtering. We developed Android-based smart-phone application, which recommends restaurants with coupons and restaurant information.

• Journal of the Korea Society of Computer and Information
• /
• v.19 no.11
• /
• pp.167-173
• /
• 2014

A white cane is used by many people who are blind or visually impaired. The studies and developments in the field of smart electronic white cane have been progressed to improve walking safety of the visually handicapped person. In this paper, we describe a situation-awareness white cane which support and guide walking of the visually handicapped person by giving information of surrounding situation through connection of a white cane and a mobile device. There are easily accessible buttons in the situation-awareness white cane. These buttons is connected with the mobile device by blue-tooth, so by pushing these buttons, the visually handicapped person can receive sound-guidance. As a result, the visually handicapped person can walk more safely by getting more information of situation.

• Journal of Korea Multimedia Society
• /
• v.15 no.10
• /
• pp.1264-1272
• /
• 2012

Three-dimensional volume rendering method which shows the inside of human body is widely used in medical imaging area. Existing medical imaging system using a volume rendering method already has provided a variety of three-dimensional results. Recently existing results in the medical imaging among physicians and patients to facilitate communication have been studied since smart device which has advantage of portability applied in the medical imaging. In this paper, we propose 3D volume visualization system for a relatively low spec portable smart devices by using 2D textures and we also implements 2D diagnostic images of portable medical imaging visualization system.

• Proceedings of the IEEK Conference
• /
• 2000.11b
• /
• pp.249-252
• /
• 2000

A new Smart rower IC's based on the Partial SOI technology was designed for such applications as mobile communication systems, high-speed HDD systems etc. A new methodology of integrating a 0.8${\mu}{\textrm}{m}$ BiCMOS compatible Smart Power technology, high voltage bipolar device, high speed SAVEN bipolar device, LDD NMOSFET and a new LDMOSFET based on the Partial SOI technology is presented in this paper. The high voltage bipolar device has a breakdown voltage of 40V for the output stage of analog circuit. The optimized Partial SOI LDMOSFET has an off-state breakdown voltage of 75 V and a specific on- resistance of 0.249mΩ.$\textrm{cm}^2$ with the drift region length of 3.5${\mu}{\textrm}{m}$. The high-speed SAVEN bipolar device shows cut-off frequency of about 21㎓. The simulator DIOS and DESSIS has been used to get these results.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.3
• /
• pp.469-478
• /
• 2022

This paper contains the results of developing smart devices and applications to monitor the load power of the industrial manufacturing machine and evaluate its performance. The smart devices in this paper are divided into two functionalities, which are collecting load power along with operating environment data of industrial manufacturing machines and transmitting the data to servers. Load power data collected from the smart devices are uploaded to MariaDB inside the Amazon Web Service (AWS) server. Using the RESTFul API, the uploaded power data can be retrieved and shown on the web and mobile application in the form of a graph to provide monitoring capability. To evaluate the performance of the developed system, the response time from MariaDB to web and mobile applications was measured. The results is ranging from 0.0256 to 0.0545 seconds in a 4G (LTE) network environment and from 0.6126 to 1.2978 seconds in a 3G network environment, which is considered a satisfactory result.

• The Journal of Information Systems
• /
• v.28 no.2
• /
• pp.129-152
• /
• 2019

Purpose The purpose of this study is to empirically identify the risky behavior of mobile device users using the Internet of Things on a situational perspective. Design/methodology/approach This study made a design of the research model based on model of the determinants of risk behavior. Data were collected through a survey including hypothetical scenario. SmartPLS 2.0 was used for the structural model analysis and t-test was conducted to compare the between normal and situational behavior. Findings The results were as follows. First, the central roles of risk propriety and risk perception were verified empirically. Second, we identified the role of locus of control as a new factor of impact on risky behavior. Third, mobile risk propensity has been shown to increase risk perception. Fouth, it has been shown that risk perception does not directly affect risky behavior and reduce the relationship between mobile risk propensity and risk behavior. According to the empirical analysis result, Determinants of risk behavior for mobile users were identified based on a theoretical framework. And it raised the need to pay attention to the impact of locus of control on risk behavior in the IS security field. It provided direction to the approach to risky behavior of mobile device users. In addition, this study confirmed that there was a possibility of taking risky behavior in the actual decision-making.

• Journal of The Korean Association of Information Education
• /
• v.16 no.4
• /
• pp.397-407
• /
• 2012

According to the fast supply of the SMART device, many people have a lot of interests about SMART education. The Korean government is showing a lot of effort towards the promotion of SMART education. In this study, I developed a behavioral assessments and QR code based mobile web application for school education. The developed system works seamlessly across all popular mobile device platforms and if you save the data after the assessment, this system will automatically create each person's mobile web page. Students and teachers can add comments to this page and can improve the accessibility for finding the address of this page to QR code. The developed system can contribute to the class members understanding the personality of each other and make communication run smoothly. As a result of application of developed system, it is expected to contribute to increasing the interaction between a students, parents and teachers because the developed system provides a service based to education consumer's TPO(Time, Place, Occasion).

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.12 no.5
• /
• pp.275-281
• /
• 2012

A streaming service is considered as an important fact to listen musics at mobile device in the popular smart-phone era. An apple's HTTP Live Streaming method is used in iOS and a RTSP(Real-time Streaming Protocol) method is used in Android OS. A Wowza Media Sever will be used to support both apple and android mobile streaming. This paper describes a design and implementation of smart-phone app. to record user's songs by userself with smart-phone recording function, upload to the streaming server and to service real-time mobile streaming play for an user's selected song and provide song sharing SNS functions.

• International Journal of Computer Science & Network Security
• /
• v.21 no.2
• /
• pp.221-228
• /
• 2021

Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.