• Management & Information Systems Review
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• v.39 no.2
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• pp.181-193
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• 2020

This study is a study that analyzes consumer perception by utilizing text mining, which is a recent issue. we analyzed the consumer's perception of Samsung Galaxy by analyzing consumer reviews of Samsung Galaxy YouTube ads. for analysis, 1,819 consumer reviews of YouTube ads were extracted. through this data pre-processing, keywords for advertisements were classified and extracted into nouns, adjectives, and adverbs. after that, frequency analysis and emotional analysis were performed. Finally, clustering was performed through CONCOR. the summary of this study is as follows. the first most frequently mentioned words were Galaxy Note (n = 217), Good (n = 135), Pen (n = 40), and Function (n = 29). it can be judged through the advertisement that consumers "Galaxy Note", "Good", "Pen", and "Features" have good functional aspects for Samsung mobile phone products and positively recognize the Note Pen. in addition, the recognition of "Samsung Pay", "Innovation", "Design", and "iPhone" shows that Samsung's mobile phone is highly regarded for its innovative design and functional aspects of Samsung Pay. second, it is the result of sentiment analysis on YouTube advertising. As a result of emotional analysis, the ratio of emotional intensity was positive (75.95%) and higher than negative (24.05%). this means that consumers are positively aware of Samsung Galaxy mobile phones. As a result of the emotional keyword analysis, positive keywords were "good", "good", "innovative", "highest", "fast", "pretty", etc., negative keywords were "frightening", "I want to cry", "discomfort", "sorry", "no", etc. were extracted. the implication of this study is that most of the studies by quantitative analysis methods were considered when looking at the consumer perception study of existing advertisements. In this study, we deviated from quantitative research methods for advertising and attempted to analyze consumer perception through qualitative research. this is expected to have a great influence on future research, and I am sure that it will be a starting point for consumer awareness research through qualitative research.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.75-94
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• 2011

In this paper, we explore the information diffusion mechanism under social network environments by investigating the effect of message characteristics on the volume and speed of retweeting in Twitter, a popular online social media service. To this end, we select eight main keywords (i.e., '무상급식', '반값등록금', '나가수', '평창', '김연아', '박태환', '아이폰', '갤럭시') that have been popular on online social media in recent days. Each keyword represents various social aspects of Korea that recently grab people's attention such as political issues, entertainment, sports celebrities, and the latest digital products, and eventually holds distinctive message characteristics. Analyzing the frequency and velocity of retweeting for each keyword, we find that more than half of the sample messages posted on Twitter contain personal opinions for the certain keyword, but we also find that the tweets which include objective messages with hyperlink are the fastest ones when being retweeted by other followers. In overall, when being retweeted, the group of messages related to the certain keyword present distinctive diffusion patterns and speed according to message characteristics. From academic perspective, the findings in the study broaden our theoretical knowledge of information diffusion mechanism over online social media. For practitioners, the results also provide managerial implications regarding how to strategically utilize online social media for marketing communications with customers.

• 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 the Korea Institute of Information and Communication Engineering
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• v.16 no.2
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• pp.288-295
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• 2012

Recently personal income level is rising. So, many people use the leisure lightweight aircraft and the population which enjoys a leisure is increasing. But as the leisure lightweight aircraft compares in the civil aircraft and the military aircraft, and it has a low price. So the equipment which it is loaded in the lightweight aircraft is not equipped. In this paper, we develop the air navigation for lightweight aircraft using the smart phone(iPhone, Android phone, Window mobile, BADA phone etc.) and the smart pad(iPad, Galaxy Tab etc.).

• The monthly packaging world
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• s.297
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• pp.85-101
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• 2018

2017년 우수디자인(GD)상품선정 시상식이 지난해 12월 19일 코리아디자인센터 컨벤션홀에서 열렸다. '우수디자인(GD)상품선정제도'는 1985년부터 산업디자인진흥법 제6조에 의거하여 상품의 경제성, 사용성, 환경친화성, 심미성 등을 종합적으로 심사하여 디자인이 우수한 상품과 서비스에 GD마크를 부여하는 제도로, 산업통상자원부가 주최하고 한국디자인진흥원이 주관하고있다. GD마크는 우수한 디자인 상품 개발을 장려하여 국가경쟁력을 확보하고 국민 삶의 질을 향상시키는 것을 목표로 선정하고 있다. 또한 창의 디자인강국 구현을 위해 세계적 인증가치를 구축하고, 유니버설디자인, 서비스디자인, 전통시장 산업단지 디자인을 고도화(우수디자인 선정 장려 등)함으로써 사회적 문제해결과 지속가능한 창조경제 실현에 그 의의가 있다. 올해 선정대상품목은 제품, 커뮤니케이션, 포장, 공간환경, 서비스 등의 부문에서 39개 항목으로 출품됐고, 포장부문은 소비자제품, 식음료, 뷰티/헬스, 의약품, 산업/B2B, 기타포장 등 6개 항목으로구성됐다. 올해 포장 부문에서는 엘지전자(주)의 'LG TONE+ 포장디자인'과 팅크웨어(주)의 '블랙박스 패키지디자인'이 산업통상자원부장관상을, 해브앤비(주)의 '닥터자르트 쉐이킹 러버'가 조달청장상을, 삼성전자(주)의 '갤럭시 S8 패키지'와 '웨어러블, 모바일 프리미엄 액세서리 패키지 아이덴티티', 엘지전자(주)의 '코드제로 핸디 청소기 포장디자인'이 KIDP원장상을, 애터미(주)의 '애터미 앱솔루트 셀랙티브 스킨케어 세트'가 중소벤처기업부장관상을 수상했다. 다음에 우수디자인으로 선정된 포장부문 제품들을 살펴보도록 한다.

• 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.

• The Journal of Bigdata
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• v.1 no.1
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• pp.1-7
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• 2016

Social media such as twitter has been popular by the diffusion of internet, and thanks to the radical improvement of computational ability of computers big data analysis became possible. This research is regarding about smart watch which is receiving attention as post-smartphone technology. Among various types of smart watch, this research focuses on the recently released Samsung Galaxy Gear S2. The main purpose of the research is to analyze customer's actual twitter data that was produced before and after the release of the smart watch to the market. Through the analysis, this research provides practical marketing strategy guideline, and also the analysis framework used in this research can be a research framework for other area and product researches.

• 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 Institute of Information Security & Cryptology
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• v.33 no.6
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• pp.893-906
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• 2023

Awareness that smartphones can be used as tools for criminal activity is prevalent in many organizations, but the functionally smartphone-like smartwatch's potential as a criminal tool is being overlooked. Considering this situation, this research verifies the possibility of information leakage through an insider's smartwatch in a situation where smartphones are controlled by security regulations and technologies, but smart watch are not. By analyzing information related application usage and Wi-Fi connection generated in the smartwatch during the verification process, forensic information and limitations are identified. Finally, this research proposes preventive methods to prepare for potential smartwatch-related crimes, and reconsiders awareness of the possibility of using smartwatches as criminal tools.