• Title/Summary/Keyword: Mobile Pay

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Optimization of image data for Mobile Game Gontents (모바일게임 콘텐츠 개발을 위한 이미지 데이터 최적화)

  • Lee, Hwan-joong;Kim, young-bong
    • Proceedings of the Korea Contents Association Conference
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    • 2008.05a
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    • pp.38-42
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    • 2008
  • In the 2000s, the PC package game market has withered, but the internet based on-line game, the wireless internet based mobile game and high-powered console game market have been main stream. Among those markets, mobile game market has rapidly increased because it has 'mobility' that overcomes the limitation of time and area. But, unlike other platforms, mobile game user have to pay the higher price for download mobile game contents through the wireless internet and mobile game developer have to overcome the limitation of storage memory capacity.of mobile phone. Chiefly, the image data consume the storage capacity of mobile game contents, this paper present a technology to optimize image data for mobile game contents through analyzing type of compression method and image formats.

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Consumers' Willingness to Provide Information and Cooperation Intention in the Use of Mobile Product Recommendation Services for Fashion Stores (패션점포 내 모바일 제품추천 서비스에 대한 소비자의 정보제공의도와 협력의도)

  • Lee, Hyun-Hwa;Moon, Heekang
    • Journal of the Korean Society of Clothing and Textiles
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    • v.37 no.8
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    • pp.1139-1154
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    • 2013
  • This study examined the effects of consumers' usefulness and the hedonic perception of their willingness to provide information and cooperation intention in the use of location-context based mobile product recommendation services for fashion stores. We examined the influence of consumers' beliefs regarding marketer's information practices on their perceptions of provided services. In addition, the moderating effects of consumers' epistemic curiosity and information control level were investigated. A total of 400 smartphone users were included as participants for the present study. The results showed that consumers who perceived information services as more hedonic and useful are more likely to provide personal information and cooperate with marketers. The findings of the study suggest that fashion retailers who plan to introduce mobile product recommendation services should pay attention to the hedonic aspects of the services. In addition, the effects of usefulness and hedonic perception of the two dependent variables were different according to the level of epistemic curiosity and information control.

Design for Interworking with Payment System using Short-Range Wireless Communication Method (근거리 무선 통신 방식을 이용한 모바일 결제 시스템 연동에 대한 설계)

  • Lee, Ju-Sang;Lee, Hyo-Seung;Oh, Jae-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1031-1036
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    • 2020
  • Untact marketing emerged as one of the top 10 marketing in 2018. Since then, the scale of the mobile payment market has expanded, and the ratio of payment through mobile is melting into life even offline. Various mobile apps such as Samsung Pay and Smart Order are already popular systems, and various other mobile payment systems are increasing. For such mobile payments, this paper aims to comprehensively design a general-purpose untouched offline payment system by designing a mobile payment system that applies a short-range wireless communication method along with a study on the currently available mobile payment-linked API. We propose an offline payment system with an untouch method to prevent the spread of infectious diseases and contribute to a healthy society by solving the problem and minimizing contact with others in the current situation like the Corona 19 Incident.

Characteristics of Individuals Influencing Adoption Intentions for Portable Internet Service

  • Kim, Moon-Koo;Jee, Kyoung-Yong
    • ETRI Journal
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    • v.28 no.1
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    • pp.67-76
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    • 2006
  • This study aims to identify the factors that influence adoption intentions towards portable Internet service, based on the individual characteristics that assist in creating markets and developing strategies. Two types of factors are defined: individual characteristics including demographics, existing services usages, prior knowledge, adoption attitudes, and service evaluations; and adoption intentions including the willingness to subscribe, subscription term, willingness to pay, usage type, and preferred terminal. The results indicate that the importance of demographic variables depends on adoption intentions, and that users of mobile Internet service and wireless LAN are probably targets for portable Internet service. Furthermore, the results demonstrate the need for an enhanced perception of the usefulness and ease of use of service, as well as an intensive marketing activity for potential users and a bearable innovation to stimulate the market for portable Internet service.

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A Study on the Displacement of Mobile OTT Video Services on Home TV (모바일 OTT 동영상 서비스 이용이 홈 TV 시청에 미치는 영향에 관한 연구)

  • Kim, Joohyeon
    • The Journal of the Korea Contents Association
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    • v.18 no.8
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    • pp.434-445
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    • 2018
  • This study examined whether mobile OTT video service substitutes home TV by using 3 screen data of Nielson-KoreanClick. According to the 2SLS estimation results, when the time spent on mobile OTT video service increased by 1% p, the time spent watching home TV decreased by 12.4%. The results also showed that 1%p increase in the time spent using YouTube app and the mobile OTT video services provided by telecommunication company(Oksusu, Alleh TV, VideoPortal) reduced the time spent on watching terrestrial channels on TV by 16.2% and 23.9%, respectively. The displacement of mobile OTT video service on home TV will be accelerated in the near future. In order to resolve the issue of regulatory unfairness with pay TV services and to safeguard viewer's interests, discussions to establish regulation for OTT video services should be taken place more quickly.

Context-aware Protype for Adaptive Recommendation Service on Mobile (모바일 환경에서 능동적 추천 서비스를 위한 상황인식 프로토타입)

  • Chang, Hyo-Kyung;Kang, Yong-Ho;Choi, Eui-In
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.12 no.1
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    • pp.257-264
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    • 2012
  • The development of mobile devices and the spread of wireless network help share and exchange information and resources more easily. The bond them to Cloud Computing technology help pay attention to "Mobile Cloud" service, so there have been being a lot of studies on "Mobile Cloud" service. Especially, the important of 'Recommendation Service' which is customized for each user's preference and context has been increasing. In order to provide appropriate recommendation services, it enables to recognize user's current state, analyze the user's profile like user's tendency and preference, and draw the service answering the user's request. Most existing frameworks, however, are not very suitable for mobile devices because they were proposed on the web-based. And other context information except location information among user's context information are not much considered. Therefore, this paper proposed the context-aware framework, which provides more suitable services by using user's context and profile.

A Lightweight and Privacy-Preserving Answer Collection Scheme for Mobile Crowdsourcing

  • Dai, Yingling;Weng, Jian;Yang, Anjia;Yu, Shui;Deng, Robert H.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.8
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    • pp.2827-2848
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    • 2021
  • Mobile Crowdsourcing (MCS) has become an emerging paradigm evolved from crowdsourcing by employing advanced features of mobile devices such as smartphones to perform more complicated, especially spatial tasks. One of the key procedures in MCS is to collect answers from mobile users (workers), which may face several security issues. First, authentication is required to ensure that answers are from authorized workers. In addition, MCS tasks are usually location-dependent, so the collected answers could disclose workers' location privacy, which may discourage workers to participate in the tasks. Finally, the overhead occurred by authentication and privacy protection should be minimized since mobile devices are resource-constrained. Considering all the above concerns, in this paper, we propose a lightweight and privacy-preserving answer collection scheme for MCS. In the proposed scheme, we achieve anonymous authentication based on traceable ring signature, which provides authentication, anonymity, as well as traceability by enabling malicious workers tracing. In order to balance user location privacy and data availability, we propose a new concept named current location privacy, which means the location of the worker cannot be disclosed to anyone until a specified time. Since the leakage of current location will seriously threaten workers' personal safety, causing such as absence or presence disclosure attacks, it is necessary to pay attention to the current location privacy of workers in MCS. We encrypt the collected answers based on timed-release encryption, ensuring the secure transmission and high availability of data, as well as preserving the current location privacy of workers. Finally, we analyze the security and performance of the proposed scheme. The experimental results show that the computation costs of a worker depend on the number of ring signature members, which indicates the flexibility for a worker to choose an appropriate size of the group under considerations of privacy and efficiency.

Game-Based Content Caching and Data Sponsor Scheme for the Content Network (콘텐츠 네트워크 환경에서 게임이론을 이용한 콘텐츠 캐싱 및 데이터 스폰서 기법)

  • Won, JoongSeop;Kim, SungWook
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.7
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    • pp.167-176
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    • 2019
  • Recently, as the types of services that can be enjoyed in mobile telecommunication networks such as social networks and video streaming are increasing, mobile users(MUs) can access mobile contents easily by consuming mobile data. However, under a mobile telecommunication environment, MUs have to pay a high data fee to a network service provider(SP) in order to enjoy contents. The 'data sponsor' technique, introduced as a way to solve this problem, has attracted attention as a breakthrough method for enhancing contents accessibility of MUs. In this paper, we propose an algorithm that determines the optimal discount rate through the Stackelberg game in the data sponsor environment. We also propose an algorithm to design edge caching, which caches highly popular content for MUs on edge server, through many-to-many matching game. Simulation results clearly indicate that the profit for CP's content consumption is improved by about 6~11%, and the profit of CP according to the ratio of edge caching is improved by about 12% than the other existing schemes under data sponsor environment.

A Study on User's Wayfinding Information-Seeking Behavior When Using the Mobile Map Application on Foot (도보 상황에서 모바일 지도 애플리케이션 이용자의 길 찾기 정보추구행위에 관한 연구)

  • Gwon, Hyeon Jeong;Lee, Jee Yeon
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.1
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    • pp.469-492
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    • 2021
  • This study aims to find an optimal method for the mobile map application to provide directions by analyzing users' behavior in wayfinding and the information referenced in the direction-finding tasks. The mobile application provided information such as 'the name of the store on the first floor,' 'current location and directions to proceed if there are multi-branching roads,' and 'alleyways.' In the visual representation of information, the application should pay attention to 'landmark elements such as subway station exits and bus stops,' 'the color of crosswalks and overpasses,' 'division between sidewalks and driveways,' and 'entry to the subway stations.' For the mobile map application to provide intuitive interaction, it is necessary to specify 'the direction toward the destination,' 'the possible rotation of the map screen,' and 'the big roads' preference guidance.'

Fast, Accurate Vehicle Detection and Distance Estimation

  • Ma, QuanMeng;Jiang, Guang;Lai, DianZhi;cui, Hua;Song, Huansheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.2
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    • pp.610-630
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    • 2020
  • A large number of people suffered from traffic accidents each year, so people pay more attention to traffic safety. However, the traditional methods use laser sensors to calculate the vehicle distance at a very high cost. In this paper, we propose a method based on deep learning to calculate the vehicle distance with a monocular camera. Our method is inexpensive and quite convenient to deploy on the mobile platforms. This paper makes two contributions. First, based on Light-Head RCNN, we propose a new vehicle detection framework called Light-Car Detection which can be used on the mobile platforms. Second, the planar homography of projective geometry is used to calculate the distance between the camera and the vehicles ahead. The results show that our detection system achieves 13FPS detection speed and 60.0% mAP on the Adreno 530 GPU of Samsung Galaxy S7, while only requires 7.1MB of storage space. Compared with the methods existed, the proposed method achieves a better performance.