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Exploring the Roles of User Resistance and Social Influences on Smartphone Acceptance and Continuous Usage (스마트폰 채택 및 지속사용에 있어 사용자 저항과 사회적 영향력의 역할에 대한 탐색연구)

  • Choi, Sae Sol;Yoo, Jae Heung
    • Journal of Information Technology Applications and Management
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    • v.19 no.4
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    • pp.41-59
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    • 2012
  • This study examines the roles of user resistance and social influences on the acceptance and continuous usage of smartphones at different stages of adoption. The respondents were classified into three groups according to their innovation adoption stage : non-user group, the potential user group and the trial user group. Theories relevant to user resistance, social influences including normative social influences and informational social influences, as well as user adoption and continuance behavior were reviewed and integrated into our research model. In order to verify the proposed structured equation model, we conducted an online survey by targeting mobile phone users and collected data to be analyzed through a partial least squares (PLS) test. This study tested whether there exists differences in the effects of user resistance and different types of social influence on user's adoption or continuance intetion among these three groups. The results showed that user resistance exists in all adopter groups and that it has significant negative influences on intention to use a smartphone. The findings also revealed that user resistance can be enhanced or resolved by two types of social influence; informational social influence resolves user resistance regardless of the adopter category, while normative social influence enhances the user resistance of potential users. Furthermore, the findings show that social influence regardless of the type positively affects user intention. Several theoretic and practical implications pertaining to the results are discussed.

Adaptive Strategy Game Engine Using Non-monotonic Reasoning and Inductive Machine Learning (비단조 추론과 귀납적 기계학습 기반 적응형 전략 게임 엔진)

  • Kim, Je-Min;Park, Young-Tack
    • The KIPS Transactions:PartB
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    • v.11B no.1
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    • pp.83-90
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    • 2004
  • Strategic games are missing special qualities of genre these days. Game engines neither reason about behaviors of computer objects nor have learning ability that can prepare countermeasure in variously command user's strategy. This paper suggests a strategic game engine that applies non-monotonic reasoning and inductive machine learning. The engine emphasizes three components -“user behavior monitor”to abstract user's objects behavior,“learning engine”to learn user's strategy,“behavior display handler”to reflect abstracted behavior of computer objects on game. Especially, this paper proposes two layered-structure to apply non-monotonic reasoning and inductive learning to make behaviors of computer objects that learns strategy behaviors of user objects exactly, and corresponds in user's objects. The engine decides actions and strategies of computer objects with created information through inductive learning. Main contribution of this paper is that computer objects command excellent strategies and reveal differentiation with behavior of existing computer objects to apply non-monotonic reasoning and inductive machine learning.

User Association and Power Allocation Scheme Using Deep Learning Algorithmin Non-Orthogonal Multiple Access Based Heterogeneous Networks (비직교 다중 접속 기반 이종 네트워크에서 딥러닝 알고리즘을 이용한 사용자 및 전력 할당 기법)

  • Kim, Donghyeon;Lee, In-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.3
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    • pp.430-435
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    • 2022
  • In this paper, we consider the non-orthogonal multiple access (NOMA) technique in the heterogeneous network (HetNET) consisting of a single macro base station (BS) and multiple small BSs, where the perfect successive interference cancellation is assumed for the NOMA signals. In this paper, we propose a deep learning-based user association and power allocation scheme to maximize the data rate in the NOMA-based HetNET. In particular, the proposed scheme includes the deep neural network (DNN)-based user association process for load balancing and the DNN-based power allocation process for data-rate maximization. Through the simulation assuming path loss and Rayleigh fading channels between BSs and users, the performance of the proposed scheme is evaluated, and it is compared with the conventional maximum signal-to-interference-plus-noise ratio (Max-SINR) scheme. Through the performance comparison, we show that the proposed scheme provides better sum rate performance than the conventional Max-SINR scheme.

User Bandwidth Demand Centric Soft-Association Control in Wi-Fi Networks

  • Sun, Guolin;Adolphe, Sebakara Samuel Rene;Zhang, Hangming;Liu, Guisong;Jiang, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.2
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    • pp.709-730
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    • 2017
  • To address the challenge of unprecedented growth in mobile data traffic, ultra-dense network deployment is a cost efficient solution to offload the traffic over some small cells. The overlapped coverage areas of small cells create more than one candidate access points for one mobile user. Signal strength based user association in IEEE 802.11 results in a significantly unbalanced load distribution among access points. However, the effective bandwidth demand of each user actually differs vastly due to their different preferences for mobile applications. In this paper, we formulate a set of non-linear integer programming models for joint user association control and user demand guarantee problem. In this model, we are trying to maximize the system capacity and guarantee the effective bandwidth demand for each user by soft-association control with a software defined network controller. With the fact of NP-hard complexity of non-linear integer programming solver, we propose a Kernighan Lin Algorithm based graph-partitioning method for a large-scale network. Finally, we evaluated the performance of the proposed algorithm for the edge users with heterogeneous bandwidth demands and mobility scenarios. Simulation results show that the proposed adaptive soft-association control can achieve a better performance than the other two and improves the individual quality of user experience with a little price on system throughput.

Database and User Interface for Pollutant Source and Load Management of Yeungsan Estuarine Lake Watershed Using GIS (GIS를 활용한 영산호 수계 오염원 데이터베이스 구축과 오염원관리 사용자 인터페이스)

  • 양홍모
    • Journal of the Korean Institute of Landscape Architecture
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    • v.28 no.6
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    • pp.114-126
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    • 2001
  • The purpose of this study is to establish the databases of pollutant sources and water quality measurement data by utilizing GIS, and making the user interface for the management of pollutant sources. Yeongsan Estuarine Lake was formed of a huge levee of 4.35 km constructed by an agricultural reclamation project. Water quality of the reservoir has been degraded gradually, which mainly attributes to increase of point and non-point source pollutant loads from the lake's watershed of 33,374.3 $\textrm{km}^2$ into it. Application of GIS to establishment of the database was researched of pint source such as domestic sewage, industrial wastewater, farm wastes, and fishery wastes, and non-pont source such as residence, rice and upland field, and forest runoffs of the watershed of the lake. NT Acr/Info and ArcView were mainly utilized for the database formation. Land use of the watershed using LANDSAT image data was analyzed for non-point source pollutant load estimation. Pollutant loads from the watershed into the reservoir were calculated using the GIS database and BOD, TN, TP load units of point and non-point sources. Total BOD, TN, TP loads into it reached approximately to 141, 715, 2,094 and 4,743 kg/day respectively. The loads can be used as input parameters for water quality predicting model of it. A user-friendly interface program was developed using Dialog Designer and Avenue Script of AcrView, which can perform spatial analysis of point and non-point sources, calculate pollutant inputs from the sources, update attribute data of them, delete and add point sources, identify locations and volumes of water treatment facilities, and examine water quality data of water sampling points.

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Joint Space-time Coding and Power Domain Non-orthogonal Multiple Access for Future Wireless System

  • Xu, Jin;Ding, Hanqing;Yu, Zeqi;Zhang, Zhe;Liu, Weihua;Chen, Xueyan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.1
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    • pp.93-113
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    • 2020
  • According to information theory, non-orthogonal transmission can achieve the multiple-user channel capacity with an onion-peeling like successive interference cancellation (SIC) based detection followed by a capacity approaching channel code. However, in multiple antenna system, due to the unideal characteristic of the SIC detector, the residual interference propagated to the next detection stage will significantly degrade the detection performance of spatial data layers. To overcome this problem, we proposed a modified power-domain non-orthogonal multiple access (P-NOMA) scheme joint designed with space-time coding for multiple input multiple output (MIMO) NOMA system. First, with proper power allocation for each user, inter-user signals can be separated from each other for NOMA detection. Second, a well-designed quasi-orthogonal space-time block code (QO-STBC) was employed to facilitate the SIC-based MIMO detection of spatial data layers within each user. Last, we proposed an optimization algorithm to assign channel coding rates to balance the bit error rate (BER) performance of those spatial data layers for each user. Link-level performance simulation results demonstrate that the proposed time-space-power domain joint transmission scheme performs better than the traditional P-NOMA scheme. Furthermore, the proposed algorithm is of low complexity and easy to implement.

User-based Document Summarization using Non-negative Matrix Factorization and Wikipedia (비음수행렬분해와 위키피디아를 이용한 사용자기반의 문서요약)

  • Park, Sun;Jeong, Min-A;Lee, Seong-Ro
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.2
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    • pp.53-60
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    • 2012
  • In this paper, we proposes a new document summarization method using the expanded query by wikipedia and the semantic feature representing inherent structure of document set. The proposed method can expand the query from user's initial query using the relevance feedback based on wikipedia in order to reflect the user require. It can well represent the inherent structure of documents using the semantic feature by the non-negative matrix factorization (NMF). In addition, it can reduce the semantic gap between the user require and the result of document summarization to extract the meaningful sentences using the expanded query and semantic features. The experimental results demonstrate that the proposed method achieves better performance than the other methods to summary document.

Retrospective Study about the Effectiveness of a Korean Medicine Treatment on 45 Facial Atopic Dermatitis Patients (얼굴아토피 피부염환자 45명의 한의학적 치료효과에 대한 후향적 연구)

  • Han, Su-Ryun;Seo, San;Park, Gun;Lee, Jung-Hwan;Jang, Jin-Young
    • The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
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    • v.27 no.2
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    • pp.64-74
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    • 2014
  • Objective : The purpose of this study is to report the effectiveness of a Korean Medicine Treatment on 45 facial atopic dermatitis patients. Methods : Total 45 facial atopic dermatitis patients, who has visited korean medical clinic in year 2011 were analyzed by Objective SCORAD Index(OSI) and Investigator's Global Assessment(IGA). Subanalysis of OSI and IGA were done according to topical ointment user/non-user, treatment period and change in IGA distribution. Results : 1. Male and female percent was 20%:80%. 17.8% were teens, 55.6% were twenties, 13.3% were thirties, 13.3% were above age forty. 64.4% were on topical ointment treatment of corticosteroid or calcineurin inhibitor, and 35.6% were not at the initial visit. Patients with family history were 44.4% and 62.2% had atopic dermatitis past history. 2. OSI and IGA were significantly lower after 1~3, 3~6, 6~9 month of treatment. Average post-treatment score was lower in longer-treated group. 3. IGA distribution has changed from average 3.42 at the first visit to 1.76 at final visit. 91.1% of total patients reported decrease in IGA at the final visit. 4. OSI and IGA improvement rate were significantly higher in non-topical ointment user than the user. Age, treatment period, initial OSI and IGA score difference were not significantly different. Conclusion : A significant percent of 45 facial atopic dermatitis patients who were treated with Korean Medicine Treatment reported decrease in OSI and IGA. The difference increased with the treatment period. Non-topical ointment users' improvement was significantly higher than topical ointment user.

Power Allocation to Improve Data-Rate Fairness of Non-orthogonal Multiple Access Users (비직교 다중접속 사용자의 데이터 전송률 공정성 개선을 위한 전력 할당 기법)

  • Lee, In-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.9
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    • pp.1117-1122
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    • 2019
  • In this paper, a power allocation scheme is proposed to improve the fairness of user data rates in downlink non-orthogonal multiple access systems with one base station and two users. In particular, the power allocation scheme is presented to maximize the fairness of average user data rates assuming independent Rayleigh fading channels, where the fairness maximization is achieved when the average user data rates are equal. For the fairness evaluation, hence approximate expressions for the average user data rates and the average sum date rate of the proposed scheme are provided by using high signal-to-noise ratio approximation. Through simulation investigation, the derived approximate expressions for the average data rates are verified, and it is shown that the proposed scheme is superior to the conventional power allocation schemes in terms of the fairness of the average user data rates.

A research on User-focused Space analysis of representing large Corporate hospitals (대형 민간병원의 사례분석에 의한 사용자별 면적배분 현황에 대한 연구)

  • Lee, Jung-Man;Choi, A-Hyeon
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.1 no.2
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    • pp.39-51
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    • 1996
  • Design scheme drawings of the two major corporate hospitals - Asan Medical Center and Samsung Medical Center - are analysed in the aspect of floor area distributions and their proportions for various users and user-functions. Primary users of hospitals are categorized into three ; patients, employees and others. Then, patient spaces are subdivided into patient private, patient/medical, patient/support staff, patient/nursing, patient/guardian, patient common ; employee spaces into doctors, trainees, doctors common, nurses, support staffs, non-medical staffs, employee common ; others spaces into subcontractors, general publics, non-living, and internal circulation. The purpose of this research is to develop a user-focused insight into hospital spaces and a new method of hospital programming and design.

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