• Journal of Communications and Networks
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• 제18권5호
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• pp.688-698
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• 2016

In this paper, we investigate the achievable sum rate and energy efficiency of downlink massive multiple-input multiple-output antenna systems with zero-forcing precoding, by taking into account the randomness of user locations. Specifically, we propose two types of non-uniform user distributions, namely, center-intensive user distribution and edge-intensive user distribution. Based on these user distributions, we derive novel tight lower and upper bounds on the average sum rate. In addition, the impact of user distributions on the optimal number of users maximizing the sum rate is characterized. Moreover, by adopting a realistic power consumption model which accounts for the transmit power, circuit power and signal processing power, the energy efficiency of the system is studied. In particular, closed-form solutions for the key system parameters, such as the number of antennas and the optimal transmit signal-to-noise ratio maximizing the energy efficiency, are obtained. The findings of the paper suggest that user distribution has a significant impact on the system performance: for instance, the highest average sum rate is achieved with the center-intensive user distribution, while the lowest average sum rate is obtained with the edge-intensive user distribution. Also, more users can be served with the center-intensive user distribution.

• 대한인간공학회:학술대회논문집
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• 대한인간공학회 1994년도 춘계학술대회논문집
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• pp.7-18
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• 1994

Many office tasks have been automated by using computers to increase task productivity. The productivity of performing office tasks is dependent not only upon automating the task procedures, but also upon the usability of user interfaces. However, the literature lacks human factors research on evaluating the usability of user interface styles when they are used for performing different office tasks. This study evalu- ated the usability of user interfaces styles when performing various office tasks. User interface styles considered include menu-selection, command language, form fill-in, iconic styles, etc. A task analysis was conducted toclassify representative office tasks. A variety of analysis techniques such as brainstorming, analytic hierarchy process, prototyping, and expert opinions were used to evaluate the usability of the interfaces. The analysis procedures and results are described along with guidelines for selecting user interfaces in terms of subjective preferences and performance measures.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.82-92
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• 2019

The appropriate use of color and light can increase psychological stress or feelings of mental stability. As such, many people currently use color therapy, which provides relaxation and stability through color stimulation. Many people currently use color therapy, which provides relaxation and stability through color stimulation. The smartphone-based psychological color therapy system that is to be developed through the study is a method for relieving stress. This study examines a method of using smartphones to understand user's emotional information such as types of stress and to provide color therapy information regarding these emotions. The goal of this study is to use the user's smart phone to provide color therapy that employs the user's emotional information. The intelligent emotion system, which uses platforms such as mobile devices and the PC, was designed considering the user's context, and it provides the user with various data formats such as images, video, text, audio, to send results to the user. The system was developed in the form of a service-based mobile application. The study designed an emotional color therapy system that uses a smartphone to measure the user's stress and provides appropriate color therapy.

• Management Science and Financial Engineering
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• 제12권2호
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• pp.71-85
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• 2006

Collaborative filtering, among other recommender systems, has been known as the most successful recommendation technique. However, it requires the user-item rating data, which may not be easily available. As an alternative, some collaborative filtering algorithms have been developed recently by utilizing the market basket data in the form of the binary user-item matrix. Viewing the recommendation scheme as a two-class classification problem, we proposed a new collaborative filtering scheme using a regularized discriminant analysis applied to the binary user-item data. The proposed discriminant model was built in terms of the major principal components and was used for predicting the probability of purchasing a particular item by an active user. The proposed scheme was illustrated with two modified real data sets and its performance was compared with the existing user-based approach in terms of the recommendation precision.

• 디지털산업정보학회논문지
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• 제10권1호
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• pp.81-87
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• 2014

Password-based authentication using smart card provides two factor authentications, namely a successful login requires the client to have a valid smart card and a correct password. While it provides stronger security guarantees than only password authentication, it could also fail if both authentication factors are compromised ((1) the user's smart card was stolen and (2) the user's password was exposed). In this case, there is no way to prevent the adversary from impersonating the user. Now, the new technology of biometrics is becoming a popular method for designing a more secure authentication scheme. In terms of physiological and behavior human characteristics, biometric information is used as a form of authentication factor. Biometric information, such as fingerprints, faces, voice, irises, hand geometry, and palmprints can be used to verify their identities. In this article, we review the biometric-based authentication scheme by Cheng et al. and provide a security analysis on the scheme. Our analysis shows that Cheng et al.'s scheme does not guarantee any kind of authentication, either server-to-user authentication or user-to-server authentication. The contribution of the current work is to demonstrate these by mounting two attacks, a server impersonation attack and a user impersonation attack, on Cheng et al.'s scheme. In addition, we propose the enhanced authentication scheme that eliminates the security vulnerabilities of Cheng et al.'s scheme.

• 디자인학연구
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• 제15권1호
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• pp.27-36
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• 2002

본 연구는 경험에 의한 기억간의 상관관계에 대하여 기초적 연구와 접근방법을 모색하여, 제품의 형태의 구축단계에서의 적용가능성을 예시하였으며, 이를 통해 기억에 의한 디자인 행위와 관련하여 향후연구과제의 초석을 마련하는 데 목격을 두었다. 첫째, 인간의 기억과 형태에 대한 학문적, 이론적 고찰을 통해서 본 연구에 필요한 기억의 유형과 사물에 대한 인지과정을 이론적으로 비교 고찰하였다. 둘째, 실험과 분석을 통해 사물에 있어서의 느껴지는 형태가 무엇인지에 대한 주관적 평가 반응을 알아보고 그 과정의 분석을 통하여 제품에서 느끼는 형태의 연상으로, 암묵적/외현적 반응에 대한 요소(설문과 컴퓨터 실험을 통하여 수집된 데이터를 이용)를 추출하고, 분석된 요소들을 칼융의 심상구분인 보편적 지식과 현실 기억, 그리고 잠재기억과 원시심상으로 구별하여, 형태심상 및 대별 사용자 심상이 디자인에 어떤 영향을 주는가를 분석 정의하였다. 셋째, 이러한 정의를 바탕으로 암묵적/외현적 반응에 대한 요소 특성의 디자인 활용가능성과 통한 접근방법을 예시하고, 결론과 아울러 향후 연구되어질 과제에 대한 가이드라인을 제시하였다.

• Journal of information and communication convergence engineering
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• 제12권2호
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• pp.67-74
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• 2014

In multi-hop communication systems, two-way relaying is one of the solutions to mitigate the spectral efficiency loss caused by a half-duplex transmission. In this paper, a simple two-way relaying scheme is proposed for two-hop two-user multiple input multiple output (MIMO) systems. In the proposed system, a base station and a relay station (RS), both equipped with two antennas, form a point-to-point MIMO channel, while the RS and two single-antenna mobile users form a point-to-multipoint multiuser (MU)-MIMO channel. Numerical examples show that the proposed system achieves a significant sum rate gain as compared to a one-way relaying system as the distance between a relay and the two users decreases. We also show that although we can expand the proposed scheme to more than two users, its performance gain as compared to that of one-way relaying decreases with an increase in the number of users.

• 대한전자공학회논문지TC
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• 제49권8호
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• pp.70-76
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• 2012

본 논문에서는 TV 화이트 스페이스(TV white space, TVWS)에서 OFDM(orthogonal frequency division multiplexing) 기반 비인가 사용자의 파워 할당 기법을 제안한다. 비인가 사용자는 TVWS를 사용할 때, 시간 도메인에서 TVWS의 파워 제약조건을 충족시키기 위해 전송 파워를 조절해야 한다. TDM(time division multiplexing) 혹은 FDM (frequency division multiplexing)과 달리 OFDM은 시간 도메인에서 높은 PAPR(peak-to-average power ratio)을 가지기 때문에, 기존의 비인가 사용자의 파워 할당 기법이 TVWS에 적용될 경우 TVWS의 파워 제약 조건을 충족시킬 수 없게 된다. 그러므로 본 논문에서는 OFDM의 높은 PAPR값을 제어하여 순시적으로 TVWS의 파워 제약 조건을 만족시킬 수 있는 새로운 파워 할당 기법을 제안한다. 또한, 이를 기반으로 OFDM 기반 비인가 사용자의 용량을 닫힌 형태(closed form)로 분석한다. 이에 따르면, 부반송파의 개수를 줄일수록 용량을 향상시킬 수 있다. 모의실험을 통해서, 비인가 사용자의 용량은 부반송파 개수가 작아질수록, 비인가 사용자의 송신단-수신단 간 채널 평균값이 커질수록 증가하는 것을 보여준다.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.265-271
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• 2022

Social media is a form of communication based on the internet to share information through content and images. Their choice of profile images and type of image they post can be closely connected to their personality. The user posted images are designated as personality traits. The objective of this study is to predict five factor model personality dimensions from profile images by using deep learning and neural networks. Developed a deep learning framework-based neural network for personality prediction. The personality types of the Big Five Factor model can be quantified from user profile images. To measure the effectiveness, proposed two models using convolution Neural Networks to classify each personality of the user. Done performance analysis among two different models for efficiently predict personality traits from profile image. It was found that VGG-69 CNN models are best performing models for producing the classification accuracy of 91% to predict user personality traits.

• 디자인학연구
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• 제20권2호
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• pp.5-16
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• 2007

The main objective of our research is analyzing user's emotional changes while using a product, to reveal the influence of usability on human emotions. In this study we have extracted some emotional words that can come up during user interaction with a product and reveal emotional changes through three methods. Finally, we extracted 88 emotional words for measuring user's emotions expressed while using products. And we categorized the 88 words to form 6 groups by using factor analysis. The 6 categories that were extracted as a result of this study were found to be user's representative emotions expressed while using products. It is expected that emotional words and user's representative emotions extracted in this study will be used as subjective evaluation data that is required to measure user's emotional changes while using a product. Also, we proposed the effective methods for measuring user's emotion expressed while using a product in the environment which is natural and accessible for the field of design, by using the emotion mouse and the Eyegaze. An examinee performs several tasks with the emotion mouse through the mobile phone simulator on the computer monitor connected to the Eyegaze. While testing, the emotion mouse senses user's EDA and PPG and transmits the data to the computer. In addition, the Eyegaze can observe the change of pupil size. And a video camera records user's facial expression while testing. After each testing, a subjective evaluation on the emotional changes expressed by the user is performed by the user him/herself using the emotional words extracted from the above study. We aim to evaluate the satisfaction level of usability of the product and compare it with the actual experiment results. Through continuous studies based on these researches, we hope to supply a basic framework for the development of interface with consideration to the user's emotions.