• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.5
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• pp.155-161
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• 2013

This paper presented an augmented reality based mobile application of maintenance and management for concrete bridges. For the development of augmented reality system, it was necessary to establish the concrete bridges detail information and history of maintenance that build the database of those. Also, the augmented reality based system required that concrete bridge information presented by the mobile smart phone. Therefore, this study developed an augmented reality based concrete bridge information mobile application-All about Bridge based on android smart phone and smart pad. The proposed All about Bridge application supports a various bridge informations simultaneously using smart phone and augmented reality technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.1
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• pp.113-118
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• 2012

This thesis suggests how to design and implement an Android smart phone application which can perform self check or safety inspection of lifts effectively. The safety checks of lifts go in the way that inspectors check the lifts' conditions generally and record manually following a form at the moment. This thesis analyses lift maintenance industry and introduces how to design a system to proceed effective self check using a smart phone with Android OS. By using a smart phone to check lifts, we can have advantages to improve the quality of self check and maintain careers establishing information database about safety items.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.11 no.3
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• pp.67-74
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• 2011

With the rapid increase of recent smart phone diffusion, the convergences of home network environments and intelligent home appliances such as digital TV, internet refrigerator, DVD, digital video, communication appliance using a smart phone are highly focussed and become the recent trends in IT industry. In this paper, we design and implement home appliance control system based on the smart phone(Android) network environments. Through several experiments using Android smart phone, we confirmed that the proposed system can control and monitor indoor home appliances conveniently anywhere and anytime from outdoor.

• Journal of Korea Multimedia Society
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• v.15 no.5
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• pp.677-691
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• 2012

Location Based Services using GPS receiver with network enabled smart phone provides various services and many business models. Currently, many context awareness models on smart phone applications are under developing. But most of the services are based on current user position and Point of Interest(POI)s, which are very static. In this paper, we proposed and implemented multimedia tourist guide system using smart phone, which are very dynamic and provides tour guide's voice and audio service on the spot. Also we provides tour experience sharing method which can easily share the videos and pictures for each users.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.143-150
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• 2017

In this paper, we propose a novel motion recognition platform using smart-phone tracking and color communication. The interface requires only a camera and a personal smart-phone to provide a motion control interface rather than expensive equipment. The platform recognizes the user's gestures by the tracking 3D distance and the rotation angle of the smart-phone, which acts essentially as a motion controller in the user's hand. Also, a color coded communication method using RGB color combinations is included within the interface. Users can conveniently send or receive any text data through this function, and the data can be transferred continuously even while the user is performing gestures. We present the result that implementation of viable contents based on the proposed motion recognition platform.

• Spatial Information Research
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• v.23 no.4
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• pp.47-56
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• 2015

Recently, there has been an increase in the number of people who use the smart-phone navigation for using various latest functions such as group driving and location sharing. But smart-phone has a limited storage space for one application, since a lot of applications with different purposes are installed in the smart-phone. For this reason, road network data with a large space of memory used for map matching in the device for navigation cannot be stored in the smart-phone for this reason map matching is impossible. Besides, smart-phone which doesn't use the external GPS device, provides inaccurate GPS information, compared to the device for navigation. This is why the smart-phone navigation is hard to provide accurate location determination. Therefore, this study aims to help map matching that is more accurate than the existing device for navigation, by reducing the capacity of road network data used in the device for navigation through format design of a new road network and conversion and using a database of driver's driving patterns. In conclusion, more accurate map matching was possible in the smart-phone by using a storage space more than 80% less than existing device at the intersection where many roads cross, the building forest that a lot of GPS errors occur, the narrow roads close to the highway. It is considered that more accurate location-based service would be available not only in the navigation but also in various applications using GPS information and map in the future Navigation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.1
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• pp.471-479
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• 2015

This study examined the effects of smart phone use while young adults negotiated an obstacle (2 cm high). Seventy-four young adults (mean age: $23.76{\pm}3.17years$, age range: 20-27 years) participated in the study. They were allocated randomly into two groups; smart phone group and no smart phone group. The smart phone group negotiated an obstacle while simultaneously using a smart phone at a self-paced speed whereas the no smart phone group negotiated an obstacle with no special option. A motion analysis system were used to measure the gait parameters, such as toe clearance, cadence, step length, step width, stride length, and walking velocity in two groups. The toe clearance, and step-width, cadence, and step-length were significantly greater for the smart phone group than the no smart phone group (p<.05) and the walking velocity was significantly lower in the smart phone group (p<.05). On the other hand, there was no significant difference in the stride length between the two groups. This study suggests that smart phone use degrades the obstacle avoidance abilities of healthy young adults, which may increase risk of falls.

• Korean Journal of Community Nutrition
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• v.16 no.6
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• pp.697-705
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• 2011

This study was conducted to investigate the effects of real time communication digital photography method using Kakao Talk application in smart-phone for the fortification of food consumption monitoring and weight reduction. Thirty-four female college students were randomly assigned to the camera-phone (CP) group or smart-phone (SP) group. Each group participated in the weight control program for 8 weeks. The mean energy intake of CP group during program was 1353.5 kcal and the SP group consumed 1289.2 kcal. The total energy intake of both groups was significantly decreased during the program. The CP group lost 1.9 kg of body weight and 1.9% of body fat and the SP group lost 4.3 kg of body weight and 3.0% of body fat. The body weight was significantly decreased in the SP group compared to the CP group. The triglyceride and total cholesterol, and LDL-cholesterol level of SP group were significantly decreased during the program. However, there were no significant changes in CP group during the program. Also there were no significant changes in lipid profile between two groups. In this study, it is considered that real time communication digital photography method using Kakao Talk application in smart-phone might influence weight control through a trained consumption monitoring. Therefore, smart-phone can lead individuals to rely more heavily on easy-to-monitor visual cues.

• Journal of Distribution Science
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• v.13 no.9
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• pp.13-18
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• 2015

Purpose - This study investigates the effects of thought suppression on depression and uneasiness among college students likely to be influenced by smart phone addiction. Research design, data, and methodology - A total of 151 valid questionnaires were collected. The following analyses were conducted using SPSS 19.0 and AMOS 19.0: frequency, descriptive statistics, correlation, simple regression, and multiple regression. Results - Smart phone addiction increased uneasiness, depression, impulsiveness, and aggression. Moreover, uneasiness, depression, impulsiveness and aggression from smart phone addiction, had a negative influence on psychological wellbeing resulting in potential delinquent behavior. In addition, the addiction treatment relied heavily on drugs; therefore, such psychological treatment should be strengthened to control intermittent addiction. Conclusions - The results indicate that various kinds of research are needed to investigate personality and environmental factors that influence smart phone addiction. Additionally, studies on lessening smart phone addiction and living healthy lifestyles are needed. Moreover, psychological rehabilitation and treatment should be developed to lessen the rebound effect after thought suppression, to verify the effects of clinical application, and to prevent intermittent addiction.

• Journal of Computing Science and Engineering
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• v.5 no.3
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• pp.161-166
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• 2011

We present a fast algorithm for Korean text extraction and segmentation from subway signboards using smart phone sensors in order to minimize computational time and memory usage. The algorithm can be used as preprocessing steps for optical character recognition (OCR): binarization, text location, and segmentation. An image of a signboard captured by smart phone camera while holding smart phone by an arbitrary angle is rotated by the detected angle, as if the image was taken by holding a smart phone horizontally. Binarization is only performed once on the subset of connected components instead of the whole image area, resulting in a large reduction in computational time. Text location is guided by user's marker-line placed over the region of interest in binarized image via smart phone touch screen. Then, text segmentation utilizes the data of connected components received in the binarization step, and cuts the string into individual images for designated characters. The resulting data could be used as OCR input, hence solving the most difficult part of OCR on text area included in natural scene images. The experimental results showed that the binarization algorithm of our method is 3.5 and 3.7 times faster than Niblack and Sauvola adaptive-thresholding algorithms, respectively. In addition, our method achieved better quality than other methods.