• Title/Summary/Keyword: Network characteristics

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A Study on Gamification Marketing based on Social Network Service (소셜네트워크 서비스 기반 게이미피케이션 마케팅 연구)

  • Moon, Ha Na;Park, Seung Ho
    • Design Convergence Study
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    • v.15 no.2
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    • pp.17-35
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    • 2016
  • Along with popularization of smart phone and routinization of social network service, enterprises are using several social network services as a marketing channel to raise brand awareness and conduct PR. Enterprises have been utilizing an element of 'Gamification' representing a functional aspect and emotional pleasure of a game in order to attract users' attention and increase their voluntary participation since the early social network service marketing. However, social network service system contains functional roles of Gamification components rather than they function separately. Hence, this research intends to examine Gamification elements of social network service and characteristics occurred when enterprise uses several social network services as a marketing channel. Besides, it aims at suggesting a marketing guideline for Gamification based on social network that may induce users' interest and increase an immersion effect. Firstly, this study examined concepts and characteristics of social network service and Gamification centered on literature research. Secondly, it summarized a game mechanics, dynamics and a fun type of Gamification components. Thirdly, based on theoretical research, it collected Gamification marketing cases of 5 enterprises including 'Coca Cola Korea', 'Lotte Mart', 'Canon Korea', "Kolon Sports' and 'Uniqlo Korea' that utilize more than 3 of 4 social network services including 'Kakao Story', 'Band', 'Facebook' and 'Instagram' used the most in our nation, analyzing characteristics of Gamification marketing and deriving a suggestion. Finally, it suggested a guideline for Gamification and social network service to build a foundation for a Gamification marketing plan through social network service.

HTTP Traffic Modeling and Analysis with Statistical Process (통계적 분석을 이용한 HTTP 트래픽 모델링 및 분석)

  • Jun Uie-Soo;Lee Kwang-Hui
    • Journal of Internet Computing and Services
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    • v.5 no.4
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    • pp.63-76
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    • 2004
  • For efficient design and operation of a communication network, precise simulation of network characteristics is essential. This issue has been the focus of research by several groups. In this study, we first modeled the HTTP traffic which would be employed on simulation on the level of application using the real collected traffic data. There are two different viewpoints on the characteristics of web traffic pattern, Poisson distribution and self-similar characteristics. In our study, the results show that web traffic characteristics do not depend on only one type of distribution, but the traffic can be modeled as composition of these depending on the size of response of Web server. This implicates that the web traffic can be modeled as the combination of two characteristics. We also found that the characteristics of Web traffic rely on the properties of web servers. This result was deployed as a traffic generator in implementing the network simulator (NetDAS).

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A Study on the Relationships among SNS Characteristics, Satisfaction and User Acceptance

  • Ko, Changbae;Yoon, Jongsoo
    • Journal of the Korea Society of Computer and Information
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    • v.20 no.11
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    • pp.143-150
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    • 2015
  • Social network services can be defined as an individual web page which enables online, human-relationship building by collecting useful information and sharing it with specific or unspecific people. Recently, as the social network services(SNS) such as Twitter and Facebook have been paid attention in many fields of the society. SNSs are also one of the fastest channels to get news which people may not be able to see on TV or newspaper. The number of people who feel they are benefiting from social network services are increasing dramatically. A number of researches about SNS are underway. The study based on the Technology Acceptance Model empirically investigates the relationship between characteristics of SNS (system, service, information, and emotional) and user satisfaction of SNS. The study also analyzes how the relationshipa between SNS characteristics, satisfaction and user acceptance are moderated by country type of SNS users and inclination toward SNS acceptance. To achieve these research purposes, the study conducted various statistical analyses using questionnaire of the Korean and Chinese SNS users. The results of the study are followings. First, SNS characteristics have a positive effect to the user satisfaction. Second, SNS satisfaction have a positive effect to the user acceptance. Third, the relationship between SNS characteristics and user satisfaction is moderated by the country type of SNS users and inclination toward SNS acceptance. The study results could provide some implications to researchers who have interest in studying SNS, also could help business managers to operate and develop their SNS site more effectively.

Performance Evaluation of a Machine Learning Model Based on Data Feature Using Network Data Normalization Technique (네트워크 데이터 정형화 기법을 통한 데이터 특성 기반 기계학습 모델 성능평가)

  • Lee, Wooho;Noh, BongNam;Jeong, Kimoon
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.4
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    • pp.785-794
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    • 2019
  • Recently Deep Learning technology, one of the fourth industrial revolution technologies, is used to identify the hidden meaning of network data that is difficult to detect in the security arena and to predict attacks. Property and quality analysis of data sources are required before selecting the deep learning algorithm to be used for intrusion detection. This is because it affects the detection method depending on the contamination of the data used for learning. Therefore, the characteristics of the data should be identified and the characteristics selected. In this paper, the characteristics of malware were analyzed using network data set and the effect of each feature on performance was analyzed when the deep learning model was applied. The traffic classification experiment was conducted on the comparison of characteristics according to network characteristics and 96.52% accuracy was classified based on the selected characteristics.

An Efficient Ad Hoc Routing Method for Tactical Networks using Integrated Metrics and Traffic Characteristics (전술 네트워크 환경의 트래픽 특성을 고려한 통합 매트릭 기반 애드혹 라우팅 기법)

  • Roh, Bong-Soo;Hoh, Mi-Jeong;Hwang, Ki-Min;Park, Gui-Soon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.11B
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    • pp.1676-1684
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    • 2010
  • Tactical network environments are characterized by unreliable connectivity, communication links which has limited bandwidth compared to commercial networks and distributed architecture where users have high mobility. The best route should be selected based on the required traffic characteristics which can be a wireless channel environments and a status of nodes which are moving. Those characteristics are self aware and should be a routing decision factor in order to guarantee a reliable data transfer. In this paper we define the requirements of services and traffic characteristics on tactical network environments and suggest the new routing method "AODV-IMTC" based on selective routing metric to enable efficient data transfer in wireless ad hoc networks.

Electrophysiological insights with brain organoid models: a brief review

  • Rian Kang;Soomin Park;Saewoon Shin;Gyusoo Bak;Jong-Chan Park
    • BMB Reports
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    • v.57 no.7
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    • pp.311-317
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    • 2024
  • Brain organoid is a three-dimensional (3D) tissue derived from stem cells such as induced pluripotent stem cells (iPSCs) embryonic stem cells (ESCs) that reflect real human brain structure. It replicates the complexity and development of the human brain, enabling studies of the human brain in vitro. With emerging technologies, its application is various, including disease modeling and drug screening. A variety of experimental methods have been used to study structural and molecular characteristics of brain organoids. However, electrophysiological analysis is necessary to understand their functional characteristics and complexity. Although electrophysiological approaches have rapidly advanced for monolayered cells, there are some limitations in studying electrophysiological and neural network characteristics due to the lack of 3D characteristics. Herein, electrophysiological measurement and analytical methods related to neural complexity and 3D characteristics of brain organoids are reviewed. Overall, electrophysiological understanding of brain organoids allows us to overcome limitations of monolayer in vitro cell culture models, providing deep insights into the neural network complex of the real human brain and new ways of disease modeling.

BcN Based Ubiquitous Network (광대역 통합망 기반 유비퀴터스 네트워크)

  • Shin, Yong-Sik;Park, Yong-Gil;Chung, Won-Suk
    • Journal of The Institute of Information and Telecommunication Facilities Engineering
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    • v.3 no.2
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    • pp.81-89
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    • 2004
  • In this paper, we describe ubiquitous environments and the trend of convergence that is an evolution path of. current telecommunication, and show the concept of broadband convergence network, service feature and evolution path. In order to converge wire and wireless communication, telecommunication and broadcasting, voice and data efficiently, broadband convergence network divides a network into service layer, control layer, transport layer, ubiquitous access and terminal layer. Broadband convergence network will be a network that can provide and control broadband multimedia services with QoS and security of different and customized level. Then we depict characteristics and types of broadband multimedia service, and describe the characteristic of broadband convergence network. Finally, we show ubiquitous network based on the broadband convert- gence network to provide ubiquitous service which is a future telecommunication service. We also describe requirements of ubiquitous network such as an intelligent and context based platform, convergence terminals, ubi- quitous computing devices, etc.

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Network Bridge System for Interoperation of ZigBee-UPnP Network (UPnP-ZigBee 네트워크 브릿지 시스템)

  • Kim, Seong-Joong;Seo, Hae-Moon;Park, Woo-Chool;Kim, Min-Ho
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.48-51
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    • 2011
  • Universal Plug and Play (UPnP) is one of the most promising home network middleware technologies because of its straightforward implementation and zero configuration characteristics. However, it has a limitation of the operations only IP based network and proceeding in a single IP subnet. In this paper, we proposed network bridge architecture for UPnP network to interoperate heterogeneous network, UPnP and ZigBee. The proposed network bridge architecture is capable of configuration ZigBee device as a virtual UPnP device. This technique is promising for seamless inter-networking with ZigBee and UPnP network. Also, the architecture of the proposed network bridge architecture can be applied for a future smart home.

A Study on Region-based Secure Multicast in Mobile Ad-hoc Network (Mobile Ad-hoc Network에서 영역기반 보안 멀티캐스트 기법 연구)

  • Yang, Hwanseok
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.12 no.3
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    • pp.75-85
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    • 2016
  • MANET is a network composed only mobile network having limited resources and has dynamic topology characteristics. Therefore, every mobile node acts as a route and delivers data by using multi-hop method. In particular, group communication such as multicast is desperately needed because of characteristics such as battery life of limited wireless bandwidth and mobile nodes. However, the multicast technique can have different efficient of data transmission according to configuring method of a virtual topology by the movement of the nodes and the performance of a multicast can be significantly degraded. In this paper, the region based security multicast technique is proposed in order to increase the efficiency of data transmission by maintaining an optimal path and enhance the security features in data transmission. The group management node that manages the state information of the member nodes after the whole network is separated to area for efficient management of multicast member nodes is used. Member node encrypts using member key for secure data transmission and the security features are strengthened by sending the data after encrypted using group key in group management node. The superiority of the proposed technique in this paper was confirmed through experiments.

Bandwidth Enhancement for a Proximity Coupled Microstrip patch Antenna with an Impedance Matching Network (임피던스 정합기를 이용한 근접 결합 급전 패치 안테나의 대역폭 확장)

  • Kwak, Eun-Hyuk;Kim, Boo-Gyoun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.2
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    • pp.55-69
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    • 2015
  • Bandwidth enhancement technique for a proximity coupled patch antenna is investigated. The bandwidth and radiation characteristics of a proximity coupled patch antenna with an integrated impedance matching network printed on substrates with various dielectric constants and thicknesses are compared to those of a proximity coupled patch antenna without an impedance matching network. The bandwidth of a proximity coupled patch antenna with an integrated impedance matching network is greatly increased than that of a proximity coupled patch antenna without an impedance matching network without the degradation of radiation characteristics.