• Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
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• v.26 no.2
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• pp.104-111
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• 2015

Background and Objectives : Acoustic analysis of voice could be influenced so much by the quality of voice files which were recorded by recording device. In clinical practice, voice files that were recorded by analysis program directly or portable digital recording device were analyzed mostly. This study examined the feasibility of using Galaxy smartphone recordings for acoustic analysis of voice. Materials and Methods : Acoustic measures were compared between voice signals recorded from 30 normal speakers (15 males and 15 females) through Galaxy smartphone, portable digital recording device and CSL. Fo, jitter, shimmer, NHR (Noise-Harmony ratio) and Formant frequencies were analyzed by MDVP. Results : Fo, Jitter, Shimmer, NHR and formant frequencies from 3 devices were no significantly difference. The intraclass correlation coefficient (ICC) was higher between each of the voice perturbation measures. Conclusion : The findings indicated that Galaxy smartphone recording system was useful device for acoustic analysis of voice. Furthermore, Galaxy smartphone can be applied widely in various way for acoustic analysis of voice.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2109-2114
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• 2017

Personal Identification Number (PIN) is the most common user-authentication method for the access control of private and commercial applications. The users need to enter PIN information to the applications whenever the users get access to the private services. However, the process imposes a burden on the users and is vulnerable to the potential shoulder-surfing attacks. In order to resolve both problems, we present a continuous authentication method for both smartphone and smartwatch, namely, synchronized authentication. First we analyze the previous smartwatch based authentication and point-out some shortcomings. In the proposed method, we verify the validity of user by analyzing the combined acceleration data of both smartphone and smartwatch. If the monitored sensor data shows the high correlations between them, the user is successfully authenticated. For the authentication test, we used the Samsung Galaxy Note5 and Sony Smartwatch2.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.750-751
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• 2012

스마트폰의 급속한 확산과 함께 스마트폰 애플리케이션 시장이 빠르게 성장하고 있다. 이러한 성장세에 따라 많은 애플리케이션 개발자들이 생겨났으며, 다양한 콘텐츠와 수많은 애플리케이션이 개발되어지고 있다. 여기서 우리는 모바일 기기들의 제한적인 요소를 간과해서는 안 된다. 제한적인 모바일기기에서 유저가 만족할 만할 애플리케이션을 개발하기 위해서는 효율적인 자원 활용과 함께 효율적인 프로그래밍을 해야 할 필요가 있다. 본 논문은 안드로이드 NDK 및 SDK를 기반으로 Native C와 Java를 이용해 애플리케이션을 설계하고, 각 애플리케이션간의 알고리즘 수행속도, 프로세서 점유율측면에서 성능측정 실험을 수행했다. 실험 결과를 통해 보다 우수한 성능의 안드로이드 애플리케이션 개발 방법에 관해 연구했다. 성능측정 항목으로는 JNI delay, Integer, Floating point, Memory access algorithm, String이며, 실험은 삼성 갤럭시 S1에서 수행하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.05a
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• pp.521-524
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• 2021

HEIF (High Efficiency File Format)는 MPEG에서 개발된 이미지 포맷으로써, 비디오 코덱인 H.265를 활용하여 정지된 화면을 하나의 이미지 형태로 저장할 수 있도록 개발된 컨테이너이다. 아이폰은 2017년부터 HEIF를 사용하고 있으며, 2019년부터는 갤럭시 S10과 같은 안드로이드 기기도 해당 포맷을 지원하고 있다. 이 포맷은 우수한 압축률을 가지도록 이미지를 제공할 수 있으나, 복잡한 내부 구조를 가지고 있으며 기기나 소프트웨어 간 호환성이 현저하게 부족하여 일반적으로 사용되는 JPEG(또는 JPG) 파일을 대체하기에는 아직 대중적이지 못한 상황이다. 하지만 이미 많은 기기에서 HEIF를 사용하고 있음에도 불구하고 디지털 포렌식 연구는 부족한 상황이다. 이는 디지털 포렌식 조사 과정에서 파일 내부에 포함된 정보의 파악이 미흡하여 잠재적인 증거를 놓칠 수 있는 위험에 노출될 수 있다. 따라서 본 논문에서는 아이폰에서 촬영된 HEIF 형식의 사진 파일과 갤럭시에서 촬영된 모션 포토 파일을 분석하여 파일 내부에 포함된 정보와 특징들을 알아본다. 또한 이미지 뷰어기능을 지원하는 소프트웨어를 대상으로 HEIF에 대한 지원 여부를 조사하고 HEIF 뷰어를 분석하는 포렌식 도구의 요구사항을 제시한다.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.199-204
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• 2018

Smart phones that have lost their existing physical home buttons are being released at the same time, and the flow of users is also changing. The flow is highly subjective and can vary depending on the individual's tendencies. Therefore, this study investigated the change of the flow of smart phone users by Q methodology which is a method of subjectivity research. As a result, the proficiency level of how to turn on the power to start the screen showed a tendency to decrease the flow, and the playability, which is a result of curiosity about the new thing, The results were very positive in the continuity of navigation due to the use of software buttons instead of buttons. Therefore, it can be seen that the change in the hardware smartphone has a positive effect on the flow.

• The Journal of Society for e-Business Studies
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• v.22 no.1
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• pp.123-146
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• 2017

The information that consumers share in the SNS (Social Networking Service) has a great influence on the purchase of consumers. Therefore, it is necessary to pay attention to new research methodology and advertising strategy using Social Big Data. In this context, the purpose of this study is to quantitatively analyze customer value through Social Big Data. In this study, we analyzed the value structure of consumers for the three smartphone brands through text mining and positive/negative image analysis. Analysis result, it was possible to distinguish the emotional aspects (sensitivity) and rational aspects (rationality) for customer value per brand. In the case of the Galaxy S7 and iPhone 6S, emotional aspects were important before the launch, but the rational aspects was important after release date. On the other hand, in the case of the LG G5, emotional aspects were important before and after launch. We can propose two core advertising strategies based on analyzed consumer value. When developing advertising strategy in the case of the Galaxy S7, there is a need to emphasize the rational aspects of product attributes and differentiated functions. In the case of the LG G5, it is necessary to consider the emotional aspects of happiness, excitement, pleasure, and fun that are felt by using products in advertising strategy. As a result, this study will provide a good standard for actual advertising strategy through consumer value analysis. Advertising strategies are primarily driven by intuition or experience. Therefore, it is important to develop advertising strategies by analyzing consumer value through social big data analysis.

• Journal of Digital Convergence
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• v.12 no.10
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• pp.223-233
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• 2014

Even though the features of the products are almost identical, customers' reactions to each product are quite different depending on the brand image. The purpose of this study is to verify the effects of smart phone's brand images on customer's satisfaction and loyalty and compare the differences between user groups of the Galaxy and iPhone, two representative brands of smart phone. In order to do this, their brand images were classified into functional, symbolic and experiential brand images, and customer's loyalty was also classified into attitudinal and behavioral ones to empirically confirm the influence of those factors. The findings showed that functional and experiential brand images had a positive effect on their level of satisfaction, while symbolic brand images did not have a significant effect on it. Furthermore, it was found that the satisfaction level had a significant effect on attitudinal and behavioral loyalty, and attitudinal loyalty also had a significant effect on behavioral loyalty. Finally, a multiple group analysis of the user groups of Galaxy and iPhone determined that there was a statistically significant difference in the channel between customer satisfaction and attitudinal loyalty.

• Smart Media Journal
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• v.9 no.2
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• pp.92-98
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• 2020

This paper proposes a vehicle license plate recognition system using light weight deep learning models without high-end server. The proposed license plate recognition system consists of 3 steps: [license plate detection]-[character area segmentation]-[character recognition]. SSD-Mobilenet was used for license plate detection, ResNet with localization was used for character area segmentation, ResNet was used for character recognition. Experiemnts using Samsung Galaxy S7 and LG Q9, accuracy showed 85.3% accuracy and around 1.1 second running time.

• Journal of the Korean Home Economics Association
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• v.50 no.1
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• pp.141-154
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• 2012

The purpose of this study was to examine consumers' product experiences from the time when the consumer purchases a smart phone, through to the period of use, and to evaluate the product after a period of usage by comparing two groups of smart phone users of the two leading brands, Galaxy S and iPhone 4G. Product experiences were considered through the process of a consumer purchasing and using a product throughout the whole cycle of product consumption. Product experiences were compared between the two brand users according to their demographic backgrounds. The results indicated that iPhone 4G users were more likely to experience functional superiorities and emotional varieties than Galaxy S users. Especially, iPhone 4G users were more likely to experience enjoyment, aesthetics, enhanced self-images and good relationships with others through the smart phone than the Galaxy S users. Galaxy S users were more likely to identify a corporate's image as a superior feature, while iPhone 4G users were more likely to identify multi-functions and endless applications. This study implies that not only the product's functional superiorities but also the consumers' entire cycle of product experiences should be carefully examined and reflected in the development of successful new products in this competitive market.

• Phonetics and Speech Sciences
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• v.16 no.2
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• pp.49-58
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• 2024

This study aimed to compare the acoustic measurements of speech samples recorded from individuals with normal voices using various devices: the Computerized Speech Lab (CSL), a unidirectional wired pin-microphone (WIRED) suitable for smartphones, the built-in omnidirectional microphone (SMART) of smartphones, and Bluetooth-connected wireless earphones, specifically the Galaxy Buds2 Pro (WIRELESS). This study included 40 normal adults (12 males and 28 females) who had not visited an otolaryngologist for respiratory diseases within the past three months. Participants performed sustained vowel /a/ phonation for four seconds and reading tasks with sentences ("Walk") and paragraphs ("Autumn") in a sound-treated booth. Recordings were simultaneously conducted using the four different devices and synchronized based on the CSL-recorded samples for analysis using the MDVP, ADSV, and VOXplot programs. Compared with CSL, the Cepstral Spectral Index of Dysphonia (CSID_V, CSID_S) and Acoustic Voice Quality Index (AVQI) values were lower in the WIRED and higher in the SMART. The opposite trend was observed for the L/H spectral ratios (SR_V and SR_S), and the WIRELESS demonstrated task-specific discrepancies. Furthermore, both the fundamental frequency (F0) and the cepstral peak prominence of the vowel samples (CPP_V) had intraclass correlation coefficient (ICC) values above 0.9, indicating high reliability. These variables, F0 and CPP_V were considered highly reliable for voice recordings across different microphone types. However, caution should be exercised when analyzing and interpreting variables such as the SR, CSID, and AVQI, which may be influenced by the type of microphone used.