• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.85-88
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• 2011

요즘은 "손 안의 컴퓨터"라 불리는 smartphone이 전 세계적으로 열풍이다. 휴대전화가 보급되어 일반사람들도 이동하면서 전화가 가능하게 된 지 얼마 되지도 않았다. Blackberry, apple, HTC, nokia, samsung, LG 등 수많은 제조업체들이 이미 smartphone 시장에 뛰어든 지 오래이며, 이들 간의 경쟁은 갈수록 치열해지고 있다. 이 논문은 이러한 우리들의 생각을 반영하여 만들게 된 프로그램에 대한 것이고 따라서, "smartphone OS 중 가장 개발자를 위한다"는 평을 받고 있는 Android 기반의 P2P 프로그램에 대한 것이다. P2P는 많은 사람들이 파일공유를 목적으로 사용하는 프로그램으로, 이미 컴퓨터에서는 많이 사용되고 있다. 이는 트래커 서버 운영을 기반으로 한다. Android smartphone에서도 이러한 수요는 앞으로 급증할 것으로 보여서, 이 프로그램의 개발은 유저의 요구를 반영할 수 있는 의미있는 작업이라 하겠다.

• Journal of Distribution Science
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• v.17 no.10
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• pp.17-26
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• 2019

Purpose - This research investigates the old marketing mix approach to satisfaction and loyalty from the perspective of research subjects of Samsung brand smartphone cases through empirical testing involving product quality, price, distribution channel variables as antecedent variables. Research design, data, and methodology - This study emphasizes the empirical/quantitative concept by using a survey as a data collection tool. The number of samples used was 179 eligible respondents who used Samsung smartphone devices for more than five years. Statistical testing tools use PLS with several testing stages such as the classical assumption test to the hypothesis testing stage. Results - The nine hypotheses proposed, as many as two hypotheses were proposed, namely intervening relationships involving Price and Distribution channel variables on customer satisfaction and customer loyalty. Conclusions - Product quality is the essential component affecting customer satisfaction and loyalty while distribution channel is a complementary component that is no less important to measure the extent to which customer satisfaction expectations and customer loyalty are realized for the product quality of the products that have been produced and marketed. The price component is not the only reason to make consumers satisfied and loyal.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.137-139
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• 2017

During the last decade, the most competitive field may be smartphone industry. Among various smartphone brands, iphone of Apple and Galaxy series of Samsung have continue to keep the hot race of competition. In this point, this study attempts to analyze big data on two the two brands in SNS and to compare the major characteristics and preference of users.

• Journal of the Korean Society of Physical Medicine
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• v.11 no.2
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• pp.77-82
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• 2016

PURPOSE: The purpose of this study was to investigate the validity of dynamic balance measurements using a smartphone. METHODS: Thirty subjects were selected out of Y-university students without fractures, operation history, and inflammatory arthritis who had not started regular exercise during the past three months. Their dynamic balance ability was measured by the Biodex Balance System (Biodex Medical Systems, Inc., USA) using smartphones. The smartphone utilized in this study was the Galaxy Note4 LTE (SM-N910K, Samsung, Korea), and the application was the Sensor Kinetics pro (Ver.2.1.2, INNOVENTIONS Inc, US). The dynamic balance ability was measured in triplicate. RESULTS: With eyes closed, a low level of correlation (r>0.30, p<0.05) and low reliability (ICC>0.60) were determined between the roll value of the smartphone gyroscope versus the medial/lateral score of the Biodex Balance System. With eyes closed, a low level of correlation (r>0.30, p<0.05) and low reliability (ICC>0.60) were determined between the total value of the smartphone gyroscope versus the total score of the Biodex Balance System. CONCLUSION: This study indicated that using a smartphone can generate highly limited data regarding balance ability. They are unlikely to replace the existing more expensive devices entirely. However, smartphones may be highly useful in environments in which an expensive device is not available or when dynamic balance ability should be measured immediately or within a few hours.

• Science of Emotion and Sensibility
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• v.20 no.4
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• pp.135-142
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• 2017

In the present study, we investigated the physiological effects of smartphone use at night when the display luminance and white balance were differently manipulated. Two levels of luminance and two types of white balance were combined to form four types of displays. Subjects were instructed to use smartphones between 23:00 to 01:00 twice a week for two weeks, and for each trial, subjects were given one of the four display types. Melatonin concentration in the saliva, body temperature and heart rate were measured before and after each experiment. The experimental result showed that the low luminance display supported melatonin secretion and thermoregulation compared to the high luminance display. With regard to the white balance, higher melatonin level was observed when using the display that filtered blue light. The low luminance display together with yellowish tint best supported restful sleep at night in terms of every physiological response. This study collectively demonstrates that bright and blue light emitted from smartphone displays adversely affect melatonin secretion, body temperature, and heart rate, and therefore, suggests the use of a display with low luminance or a display that filters blue light for a restful sleep at night.

• Journal of the Korea Convergence Society
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• v.8 no.12
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• pp.221-226
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• 2017

This study investigates the user experience about the camera application and the operation environment that share the photographed pictures with the SNS in a smartphone user environment which is a necessity of modern people. To do this, 10 task tasks were selected based on 3 aspects such as manipulation, editing, and sharing, and the task execution time was measured after tasks were performed on 8 persons, 4 persons in 20s. Experiments conducted mainly on Samsung Experience 8 and LG UX 6.0, which are representative user interfaces of Android mobile operating system, showed that there are differences in usability between the three interfaces for each interface. In the course of the experiment, all of the subjects mentioned ease of operation and various functions as advantages. However, the complexity of text-based interfaces has been difficult to use because of the variety of functions that can be set up. Future research will be needed to improve the usability of camera applications by user interface.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.1191-1192
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• 2017

지난 몇 년 사이에 스마트 폰은 다양한 장점을 앞세워 우리의 일상생활 깊은 곳에 빠르게 자리 잡았다. 하루 일과를 함께하며 사용자의 개인정보는 계속해서 쌓임에도 불구하고 스마트 폰과 관련된 개인 정보들은 제대로 보호 및 관리되지 못하고 있다. 따라서 본 논문에서는 SAMSUNG Gear S2를 사용하여 스마트 폰의 개인 정보를 제어하고 관리하는 애플리케이션을 제안한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.233-238
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• 2016

The purpose of this study is to investigate the reliability of static balance measurements using a smartphone. Thirty subjects were selected among university students who had no fractures, history of operation, or inflammatory arthritis, and they had not started regular exercise during the past three months. The smartphone used in this study was a Galaxy S5LTE (SM-G900F, Samsung, Korea, 2014), and the application was a Sensor Kinetics Pro (Ver. 2.1.2, INNOVENTIONS Inc., US, 2015). Static balance ability was measured three times at one-day intervals between tests and retests. The first and second measurements used the same process. Analysis was done using the Wilcoxon signed rank test and intraclass correlation coefficient (ICC (2,1)). The results were as follows. With eyes opened, there was no significant difference (p>0.05), a high volume of correlation (r>0.75, p<0.05), and very high reliability (ICC>0.80) between the first measurement and second measurement. With eyes closed, there was also no significant difference (p>0.05), a high volume of correlation (r>0.75, p<0.05), and very high reliability (ICC>0.80) between the measurements. The results show that the smartphone is likely accurate for measuring static balance. This study will look forward to being the only basis for measuring future application development and the ability to balance.

• Journal of Korean Society of Forest Science
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• v.109 no.4
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• pp.484-491
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• 2020

In this study, to solve the existing inefficient stem analysis process and expensive equipment cost problems, a method for detecting and analyzing tree rings using smartphone images was proposed and a semi-automated computer program (TRIO, Tree Ring Information) was developed. TRIO can measure the annual ring radius and save the results to Excel. Since TRIO uses smartphone images, the results may vary depending on the quality of the smartphone camera. Therefore, using the Samsung Galaxy S10 and Tap 2, 30 dics images of Pinus rigida were acquired and analyzed, and these were compared with WinDENDROTM. As a result of the study, both Samsung Galaxy S10 and S2 showed significant results with WinDENDROTM, and the R2 value of S10 had a high correlation as 0.976, and RMSE was analyzed as 0.4199, and very similar results were output. The R2 value of S2 was 0.975 and the RMSE was 0.4232, showing no significant difference from S10. Accordingly, the TRIO developed in this study analyzed the annual radius value very similar to WinDENDROTM.

• Journal of Positioning, Navigation, and Timing
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• v.9 no.3
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• pp.273-284
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• 2020

The performance of Global Navigation Satellite System (GNSS) chipset and Inertial Measurement Unit (IMU) sensors embedded in smartphones for location-based services (LBS) is limited due to the economic reasons for their mass production. Therefore, it is necessary to efficiently process the output data of the smartphone's embedded sensors in order to derive the optimum navigation values and, as a previous step, output performance of smartphone embedded sensors needs to be verified. This paper analyzes the navigation performance of such devices by processing the raw measurements data output from smartphones. For this, up-to-dated versions of smartphones provided by Samsung (Galaxy s10e) and Xiaomi (Mi 8) are used in the test experiment to compare their performances and characteristics. The GNSS and IMU data are extracted and saved by using an open market application software (Geo++ RINEX Logger & Mobile MATLAB), and then analyzed in post-processing manner. For GNSS chipset, data is extracted from static environments and verified the position, Carrier-to-Noise (C/N₀), Radio Frequency Interference (RFI) performance. For IMU sensor, the validity of navigation and various location-based-services is predicted by extracting, storing and analyzing data in static and dynamic environments.