• Journal of IKEEE
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• v.22 no.1
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• pp.29-37
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• 2018

In recent years, there have been increasing interests in the mobile crowdsourcing that exploits multiple sensors, communication and user interfaces, and the computation power of widespread smartphones. In this paper, we present a novel mobile crowdsourcing-based driver assistance systems (MC-DAS) that crowdsource the sensor data of smartphone app having already passed a road segment, generate its profile information through a massive data processing, and forward this profile to the smartphone app of vehicle entering the road segment. Based on the MC-DAS platform, we also design and implement a new navigation system that advices the vehicle speed depending on the speedbump and on the road curvature profile. We expect that the proposed MC-DAS platform will be used as a platform for emerging new mobile crowdsourcing applications.

• Smart Media Journal
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• v.4 no.4
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• pp.93-100
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• 2015

Markets of e-book and app book in Korea see novel as genre literature and webtoon account for 80 percents in sales so that market share is too based towards some specific fields. In readiblily and easy-to-buy convenience, different from paper books mostly sold off-line, app books are more advantageous but it works as a weak point to take long to publicly spread them before they are generally accepted. Meanwhile, the sales of the e-book market in Korea has been steeply risen. Further, the market is not only restricted to genre literature but also has come into the stage that various experimental challenges are issued in the field of publication contents. This study is aimed at developing the sightseeing app book as a future web-mobile platform with planning and develping the first app book dealing with localized contents based on Busan tour contents, making up for its defect that it offers only current simple information and then suggesting a strategy that the travelers' app book should be available for constant utilization connected to purchase by charged download.

• Journal of Information Processing Systems
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• v.12 no.4
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• pp.612-630
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• 2016

As mobile augmented reality technologies are spreading these days, many users want to produce augmented reality (AR) contents what they need by themselves. To keep pace with such needs, we have developed a mobile AR contents builder (hereafter referred to as MARB) that enables the user to easily connect a natural marker and a virtual object with various interaction events that are used to manipulate the virtual object in a mobile environment so that users can simply produce an AR content using natural photos and virtual objects that they select. MARB consists of five major modules-target manger, virtual object manager, AR accessory manager, AR content manager, and AR viewer. The target manager, virtual object manager and AR accessory manager register and manage natural target markers, various virtual objects and content accessories (such as various decorating images), respectively. The AR content manger defines a connection between a target and a virtual object with enabling various interactions for the desired functions such as translation/rotation/scaling of the virtual object, playing of a music, etc. AR viewer augments various virtual objects (such as 2D images, 3D models and video clips) on the pertinent target. MARB has been developed in a mobile application (app) format in order to create AR contents simply using mobile smart devices without switching to a PC environment for authoring the content. In this paper, we present the detail organizations and applications of MARB. It is expected that MARB will enable ordinary users to produce diverse mobile AR contents for various purposes with ease and contribute to expanding the mobile AR market based on spread of a variety of AR contents.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.188-193
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• 2019

This paper is about environment-based low-code and no-code execution platform and execution method that combines hybrid and native apps. In detail, this paper describes the Low-Code/No-Code execution structure that combines the advantages of hybrid and native apps. It supports the iPhone and Android phones simultaneously, supports various templates, and avoids developer-oriented development methods based on the production process of coding-free apps and the produced apps play the role of Java virtual machine (VM). The Low-Code /No-Code (LCNC) development platform is a visual integrated development environment that allows non-technical developers to drag and drop application components to develop mobile or web applications. It provides the functions to manage dependencies that are packaged into small modules such as widgets and dynamically loads when needed, to apply model-view-controller (MVC) pattern, and to handle document object model (DOM). In the Low-Code/No-Code system, the widget calls the AppOS API provided by the UCMS platform to deliver the necessary requests to AppOS. The AppOS API provides authentication/authorization, online to offline (O2O), commerce, messaging, social publishing, and vision. It includes providing the functionality of vision.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.1
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• pp.95-110
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• 2018

With the widespread use of smartphones, various personal information of users is being recorded on a smartphone in real time. For the purpose of preventing the loss of important personal information of users, manufacturer provides a smartphone backup applications. Recently, not only backup programs for PC but also backup mobile apps for smart phones have been provided. From the point of view acquiring forensic data, it is important not to compromise the acquisition possibilities and the integrity of the original data. Especially, in the case of Android smartphones, various studies are being carried out to acquire the data without damaging the integrity of the original data. However, there are limitations to apply the existing research methods. In this paper, we describe the process of acquiring data using the backup mobile app provided by the manufacturer without compromising the integrity of the latest smartphone.

• Journal of Internet Computing and Services
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• v.14 no.3
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• pp.35-46
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• 2013

As mobile terminal environment gets matured, the use of Android platform based mobile terminals has been growing high. Recently, the number of attacks by malicious application is also increasing as Android platform is vulnerable to private information leakage in nature. Most of these malicious applications are easily distributed to general users through open market or internet and an attacker inserts malicious code into malicious app which could be harmful tool to steal private data and banking data such as SMS, contacts list, and public key certificate to a remote server. To cope with these security threats more actively, it is necessary to develop countermeasure system that enables to detect security vulnerability existing in mobile device and take an appropriate action to protect the system against malicious attacks. In this sense, this paper aggregates diverse system events from multiple mobile devices and also implements a system to detect attacks by malicious application.

• Journal of Information Technology Services
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• v.17 no.2
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• pp.111-128
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• 2018

About 3.9 million apps and 24 primary categories can be approved on Apple iTunes Store. Making accurate categorization can potentially receive many benefits for developers, app stores, and users, such as improving discoverability and receiving long-term revenue. However, current categorization problems may cause usage inefficiency and confusion, especially for cross-attribution, etc. This study focused on evaluating the reliability of app categorization on Apple iTunes Store by using several rounds of inter-rater reliability statistics, locating categorization problems based on Machine Learning, and making more accurate suggestions about representative functionality stems for each primary category. A mixed methods research was performed and total 4905 popular apps were observed. The original categorization was proved to be substantial reliable but need further improvement. The representative functionality stems for each category were identified. This paper may provide some fusion research experience and methodological suggestions in categorization research field and improve app store's categorization in discoverability.

• Journal of the Korea Convergence Society
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• v.7 no.2
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• pp.25-31
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• 2016

In the study, a convergence model of a mobile-based English speaking test was developed. Based on the needs analysis from Korean college students, a speaking test App for iOS and Android mobile devices was developed and its test validity was examined. To develop the test, test items, scoring features and scales were developed. The result of the needs analysis survey showed that 69 out of 87 (79.3%) owned Android phones whereas only 17 (19.5%) held iPhones. Based on the result, an English speaking test App was developed. The technologies used for the test included HTML5, the Javasciript bridge technology, Node and Express, and Mongo DB. In the experiment, five examinees took the test. The test validity was obtained in that all the functions of the test were successfully operated and some feedback was gathered.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.1-11
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• 2021

In this paper, we explain the purpose of building a mobile app called "ARnetView" that can use the AR(augmented Reality)based calling function and AR based content creation function, and as well as an AR based data center that can share AR based video streaming and AR based contents on smartphones and tablet devices. For the AR(Augmented Reality) based data center implement, we have developed a mobile application and implemented a service system including an AR(augmented Reality) based calling function and AR based content production and AR based video streaming functions for real-time communication to connect a field technician and an expert so that the expert can see and discuss the situation in the field and technician and experts, they can draw digital annotation on mobile screen that accurately stick to 3D physical objects, allowing the expert to guide the technician step by step. In result, it provides a remote technical collaboration environment between field technician and expert. In addition, AR(Augmented Reality) collaboration service Platform was designed and implemented to increase work speed, efficiency, and utilization of advanced technicians, improve continuous productivity of equipment and facilities, maximize equipment and facility utilization, and strengthen industrial competitiveness. Therefore, through this, the AR collaboration service Platform can be applied to the industrial field, the medical field, and the entertainment/education field.

• Journal of Fashion Business
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• v.19 no.6
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• pp.82-100
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• 2015

Mobile fashion apps present much opportunity for marketers to engage consumers, however not all apps provide enough functions for their targeted audience. This study aims to determine how mobile fashion apps can be used to build brand community with consumer engagement. Qualitative data on fashion mobile apps were collected from the Apple app store and Android market during the spring and summer of 2015. A total of 110 fashion mobile apps were collected;, 50 apps were identified as apparel brands that either manufacture or sell apparel to consumers, which we categorized as "brand" fashion apps, and the remaining 60 were categorized as "non-brand" fashion apps. The result of the study can be summarized as below. The 60 non-brand fashion apps were grouped into 5 app types: shopping, searching, sharing, organizational, and informational. The main functions are for informational use and shopping needs, since at least half (31 apps) are used for either retrieving information or for shopping. However, in contrast, social networking and location were infrequent and not commonly utilized by these apps. The most common type of non-brand fashion apps available were shopping apps;, many shopping apps enable users to shop from several different websites and save their items into one universal shopping cart so that they only check out once. Most of these apps are informational and help consumers make more informed decisions on purchases;, in addition many offer location services to help consumers find these items in store. While these apps perform several functions, they do not link to social media. The 50 brand apps were grouped into 5 brand types: athletic, casual, fast fashion, luxury, and retailer. These apps were also checked for attributes to determine their functionality. The result shows that the main functions of brand fashion apps are for information (82% of the 50 apps) as well as location searching (72% of 50 apps). Conversely, these apps do not offer any photo sharing, and very few have organizational or community functions. Fashion mobile apps and m-marketing elements: To build brand community, mobile apps can be designed to motivate consumer's engagement with brands. The motivations of fashion mobile apps are useful in developing fashion mobile apps. Entertainment motives can be fulfilled with multimedia attributes, functionality motives are satisfied with organizational and location-based features, information motives with informational service, socialization with community and social network, learning and intellectual stimulation from informational attributes, and trend following through photo sharing. The 8 key attributes of mobile apps can correspond to the 4 m-marketing elements (i.e., Informative content, multimedia, interactions, and product promotions) that are further intertwined with m-branding elements. App Attributes and M-Marketing aim to Build Brand Community;, the eight key attributes can impact on 4 m-branding elements, which further contribute to building brand community by affecting consumers' perceptions of brands preference and advocacy, and their likelihood to be loyal.