• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.3
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• pp.560-574
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• 2011

In this paper, we propose a hybrid method of Machine Learning (ML) algorithm and a rule-based algorithm to implement a lightweight Named Entity (NE) extraction system for Korean SMS text. NE extraction from Korean SMS text is a challenging theme due to the resource limitation on a mobile phone, corruptions in input text, need for extension to include personal information stored in a mobile phone, and sparsity of training data. The proposed hybrid method retaining the advantages of statistical ML and rule-based algorithms provides fully-automated procedures for the combination of ML approaches and their correction rules using a threshold-based soft decision function. The proposed method is applied to Korean SMS texts to extract person's names as well as location names which are key information in personal appointment management system. Our proposed system achieved 80.53% in F-measure in this domain, superior to those of the conventional ML approaches.

• Journal of Internet Computing and Services
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• v.12 no.2
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• pp.29-36
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• 2011

In this paper, NMEA based Parser programming for Smart-phone was designed at a GPS receiver. The design scheme for Map API and sensor web services was designed according to the Google Map API standards that the position values of NMEA sentences were changed due to XML files. As a result of interfaces between GPS NMEA sentences of Smart-phone and Google Map API, it is possible that real time visual positioning sensor web services about the Google Map mapping from a GPS receiver could be worked on web sever.

• Journal of Internet Computing and Services
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• v.21 no.5
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• pp.87-95
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• 2020

Highly competitive environment has been forcing e-commerce industries to seek strategies to achieve competitive advantages. Mobile payment is a kind of service that allows mobile phone user to easily and conveniently initiate payments and transfer funds using their mobile phone anytime, and anywhere. This study is designed to identify factors that affect the intention of continued use of mobile payment services between users in Korea and Laos. As a result, first, in the case of Korean consumers, system quality, information quality and service quality were shown to have a positive effect on trust and satisfaction. In addition, trust and satisfaction were shown to have a positive effect on continuance intention. Second, in the case of Laotian consumers, system quality and service quality were shown to have a positive effect on trust, and system quality and information quality were shown to have a positive effect on satisfaction. In addition, trust and satisfaction were shown to have a positive effect on continuance intention. The study has its implications by analyzing factors affecting the continuance intention with the comparison of the customers from a developed nation and a developing nation, providing a direction of development for developing competitive advantages for those in development. For the developed, the study provides a guideline of what to modify and supplement in cases of entering the markets of developing nations.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.1
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• pp.109-114
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• 2012

Intelligent Transportation Systems (ITS) is aimed to implement IT(Information Technology) to develop the next-generation transportation system in order to improve traffic conditions. In order to provide traffic information, the methods that provide available traffic informations to the public are needed. In this paper, analysis of the transportation applications in smart-phone and currently available methods of traffic information's sharing and providing were discussed. Finally, OPEN API was discussed and shows its effectiveness for transportation information area especially in smart phone.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.35-41
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• 2010

In this paper, an Android based ubiquitous interface for controlling service robots is presented. The robot server captures the images for the front view of the robot, makes a map of the environment and its position, produces a graphic image of its pose, and then transmits them to the Android client. The Android client displays them in the LCD panel and transfers control information obtained from touched buttons to the server. In the interface environment, we implement remote moving mode, autonomous moving mode, and remote operation mode for being used for versatile operability to the robot with limited screen of the smart phone. Experimental results show the implementation of the proposed interface in Android installed on Motoroi to control a service robot, and demonstrate its feasibility.

• The Journal of Korean Association of Computer Education
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• v.5 no.1
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• pp.75-83
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• 2002

For the active communication between school and the parents, this paper proposes the educational information delivery system running on the wireless internet using a cellular phone as well as on the existing wired internet using a PC. First, we have performed the survey on what kind of educational information the parents of the students want. The participated parents are 135 parents of the students in elementary, middle, high, and vocational high schools in Seoul. According to the result of this survey and the analysis on the operational mobile and educational sites, the educational information for parents, and the user interface of a cellular phone for the convenient access of mobile information are designed. Also, this mobile educational information system uses SMS for the parents to access the educational information easily.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.11
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• pp.3723-3737
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• 2022

Google Play is one of the largest Android phone app markets and it contains both free and paid apps. It provides a variety of categories for every target user who has different needs and purposes. The customer's rate every product based on their experience of apps and based on the average rating the position of an app in these arch varies. Fraudulent behaviors emerge in those apps which incorporate search rank maltreatment and malware proliferation. To distinguish the fraudulent behavior, a novel framework is structured that finds and uses follows left behind by fraudsters, to identify both malware and applications exposed to the search rank fraud method. This strategy correlates survey exercises and remarkably joins identified review relations with semantic and behavioral signals produced from Google Play application information, to distinguish dubious applications. The proposed model accomplishes 90% precision in grouping gathered informational indexes of malware, fakes, and authentic apps. It finds many fraudulent applications that right now avoid Google Bouncers recognition technology. It also helped the discovery of fake reviews using the reviewer relationship amount of reviews which are forced as positive reviews for each reviewed Google play the android app.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.3
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• pp.704-719
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• 2024

Botnet pandemics are becoming more prevalent with the growing use of mobile phone technologies. Mobile phone technologies provide a wide range of applications, including entertainment, commerce, education, and finance. In addition, botnet refers to the collection of compromised devices managed by a botmaster and engaging with each other via a command server to initiate an attack including phishing email, ad-click fraud, blockchain, and much more. As the number of botnet attacks rises, detecting harmful activities is becoming more challenging in handheld devices. Therefore, it is crucial to evaluate mobile botnet assaults to find the security vulnerabilities that occur through coordinated command servers causing major financial and ethical harm. For this purpose, we propose a hybrid analysis approach that integrates permissions and API and experiments on the machine-learning classifiers to detect mobile botnet applications. In this paper, the experiment employed benign, botnet, and malware applications for validation of the performance and accuracy of classifiers. The results conclude that a classifier model based on a simple decision tree obtained 99% accuracy with a low 0.003 false-positive rate than other machine learning classifiers for botnet applications detection. As an outcome of this paper, a hybrid approach enhances the accuracy of mobile botnet detection as compared to static and dynamic features when both are taken separately.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.161-176
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• 2010

Mobile internet has been emerged as a key IT infrastructure while mobile internet service equipments such as smart phones have been introduced in this mobile market. These mobile internet services would be more widely spread in shorter period because the wired internet services are already popular in our life and mobile internet services have the typical characteristics that ubiquitous has. This study investigates the research model for mobile internet services based on previous researches and tests it via questionnaire. The findings are that some of features such as joy and sufficiency are statistically significant as expected.

• Journal of the Korean Home Economics Association
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• v.42 no.3
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• pp.195-209
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• 2004

The purpose of this study was 1) to examine the usage of mobile internet by cell phone or palm pilot, etc., 2) to analyze mobile users' lifestyles, 3) to examine preferred fashion services according to users' lifestyles and 4) to investigate service satisfaction and preference with the mobile internet. 193 university students in Seoul were randomly selected as subject. The data was analyzed using descriptive statistics (i.e., percentage, frequency), factor analysis, cluster analysis and ANOVA. The results of the study were as follows: first, most mobile users spent 10 min a day for using the mobile internet (i.e., short message service) mainly in transportation vehicles. Secondly, five factors in the mobile users' lifestyle were named as: 'surfer', 'absorber', 'expert', 'accepter' and 'enthusiast'. Thirdly, two factors in the preferences of fashion service on mobile internet were 'customized information service' and 'ordinary information service'. Fourthly, according to the internet lifestyle, mobile users were classified into three groups: 'mania group', 'follower group', and 'veteran group'. The mania group was the highest group in mobile service satisfaction and service preference. Marketing implications are discussed for the successful mobile business in clothing and textile industry.