• 한국사회복지학
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• 제57권3호
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• pp.363-387
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• 2005

본 연구의 목적은 영국 커뮤니티케어의 이용자 참여와 관련된 요소들의 검토를 통해서 우리나라 장애인복지서비스에서 이용자 참여를 증진시킬 수 있는 방안을 탐색해 보는 것이다. 본 연구를 통하여 발견한 우리나라 장애인복지서비스에 대한 함의는 크게 다섯 가지로 요약될 수 있다. 첫째, 영국의 커뮤니티케어에서 채택한 핵심적인 전략인 시장기제의 도입을 통한 소비자주의 접근은 크게 다른 서비스 환경 때문에 현재의 우리나라 장애인서비스에는 적합하지 못한 것으로 보인다. 둘째, 지방이양의 쟁점과 관련하여 서비스의 지방이양이 서비스의 질을 저하시키지 않으면서 이용자의 참여를 증진시킬 수 있기 위해서는 서비스의 질을 확보할 수 있는 방안이 먼저 정립되어야 한다. 셋째, 장애인들에게 사정받을 권리를 보장하고 이와 함께 사례관리 과정에 의해 운영되는 공식적 서비스 체계를 구축하는 일이 필요하다. 넷째, 이용자에게 정확한 정보를 제공할 수 있도록 하는 조치와 함께 서비스 이용자들이 쉽게 접근할 수 있는 공식화된 이의제기 절차를 마련하는 것이 필요하다. 다섯째, 전문가들이 이용자들의 개별적인 서비스 과정에 대한 참여뿐만 아니라 집단적인 이용자 운동의 참여에 대해서도 지원하는 역할을 할 수 있도록 하는 전문가 교육이 이루어질 필요가 있으며, 이용자 참여를 견인할 수 있는 장애인운동의 역할도 동시에 강조될 필요가 있다.

• 센서학회지
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• 제14권6호
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• pp.415-422
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• 2005

Using stretch sensors, a stuttering treatment training device that improve the abnormal breathing of stutterer was designed and developed. To improve stutterer's inadequate breathing method that is one of principal reason of stammering, the device estimates breathing method by checking the changes of the stretch sensor's resistances those are put on the chest and abdomen of user. And a vocal exercise program that carry out exercises only when the user maintains the abdominal breathing was designed. Using a PIC16C711 device that includes an A/D convertor, a main controller was designed and the vocal exercises software was developed using Director and C program with graphic user interface for user convenience. The controller sends the resistance data of sensors to PC through the serial port and the software verifies the breathing method. And the device was designed that the RTS (request to send) pin of serial port in PC is used as a power source so that it can work without any battery or other power source. Three stutterers have carried out the clinical experiments using the implemented device for two months and the results showed it was excellent to alleviate the stuttering.

• Journal of Communications and Networks
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• 제9권2호
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• pp.112-117
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• 2007

In this paper, we focus on the total transmission power minimization problem for downlink beamforming multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems while ensuring each user's QoS requirement. Although the linear integer programming (LIP) solution we formulate provides the performance upper bound of the margin adaptive (MA) optimization problem, it is hard to be implemented in practice due to its high computational complexity. By regarding each user's equivalent channel gain as approximate independent values and using iterative descent method, we present a heuristic MA resource allocation algorithm. Simulation results show that the proposed algorithm efficiently converges to the local optimum, which is very close to the performance of the optimal LIP solution. Compared with existing space division multiple access (SDMA) OFDM systems with or without adaptive resource allocation, the proposed algorithm achieves significant performance improvement by exploiting the frequency diversity and multi-user diversity in downlink multiple-input single-output (MISO) OFDM systems.

• Journal of Information Science Theory and Practice
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• 제8권1호
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• pp.45-55
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• 2020

The purpose of this work was to study library website users' actions by tracking their behavior, determining popular content, and identifying browsing patterns and subsequent improvement of access to popular content. The study of behavior models and the use of web analytics has led to the emergence of solutions that improve the usability and functionality of the State Public Scientific-Technological Library of the Siberian Branch of the Russian Academy of Sciences (SPSTL SB RAS) website. These are: identifying user tasks as they are developed, conducting user testing to better understand the event. tracking data and collecting additional data to verify the effectiveness of the changes made. Examining data on the duration of the session and the number of visits will help determine the goals of user visits and develop new recommendations. Usability analysis and testing will make it possible to compare the data obtained using web analytics and the perception of the library site by the users themselves. Recommendations are offered to libraries on the use of data on the real behavior of the target audience of the library website to improve access to library resources and services, increase their relevance and improve information services.

• 한국컴퓨터정보학회논문지
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• 제24권8호
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• pp.51-58
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• 2019

In this paper, we propose to characteristics of mobile phone dance live broadcast platform and the second-generation technology acceptance model TAM2, this paper established the user acceptance model of mobile phone dance live broadcast platform, aiming to study the influencing factors of users' acceptance on mobile phone dance live broadcast platform. Based on the empirical analysis of user survey, the model is validated, and the relationship between variables in the model is clarified. It is also confirmed that human-computer interaction, scene interaction, relationship interaction and other factors will affect the user's acceptance on mobile phone dance live broadcast platform. At the same time, based on the relationship among variables obtained in the research, this paper tries to analyze how the variables affect each other based on the actual practice of mobile phone dance live broadcast platform. In addition, the video design strategy and marketing strategy for further development of mobile phone dance live broadcast platform are given to help the platform and dance creators to carry out better promotion on the mobile side. In the end, this paper summarizes the shortcomings of this study and points out further research directions in the future, providing a reference for researchers in the field of mobile phone dance live broadcast platform acceptance.

• Journal of Information Science Theory and Practice
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• 제12권2호
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• pp.64-78
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• 2024

Sentiment analysis is one of the promising approaches for developing a point of interest (POI) recommendation system. It uses natural language processing techniques that deploy expert insights from user-generated content such as reviews and feedback. By applying sentiment polarities (positive, negative, or neutral) associated with each POI, the recommendation system can suggest the most suitable POIs for specific users. The proposed study combines two models for POI recommendation. The first model uses bidirectional long short-term memory (BiLSTM) to predict sentiments and is trained on an election dataset. It is observed that the proposed model outperforms existing models in terms of accuracy (99.52%), precision (99.53%), recall (99.51%), and F1-score (99.52%). Then, this model is used on the Foursquare dataset to predict the class labels. Following this, user and POI embeddings are generated. The next model recommends the top POIs and corresponding coordinates to the user using the LSTM model. Filtered user interest and locations are used to recommend POIs from the Foursquare dataset. The results of our proposed model for the POI recommendation system using sentiment analysis are compared to several state-of-the-art approaches and are found quite affirmative regarding recall (48.5%) and precision (85%). The proposed system can be used for trip advice, group recommendations, and interesting place recommendations to specific users.

• Journal of Information Science Theory and Practice
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• 제12권2호
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• pp.1-21
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• 2024

This study aims to develop a comprehensive technological framework anchored in a theoretical model to assess user satisfaction with university library websites (ULWs) in Myanmar. Adopting a quantitative approach, data were obtained via convenience sampling and subsequent inferential analysis. The target population for this study investigated users of various ULWs in Myanmar who were utilizing six university libraries. Of the collected responses, 273 valid surveys were analyzed using SPSS (version 25) and AMOS. Tools such as structural equation modeling and confirmatory factor analysis played pivotal roles in data interpretation and hypothesis validation. The proposed model highlights the significance of information quality, system quality, and librarian services in influencing both perceived usefulness (PU) and perceived ease of use (PEOU), culminating in user satisfaction. Notably, information quality and librarian services primarily impact PU, while system quality is more influential on PEOU. Interestingly, while PU has a direct bearing on user satisfaction, PEOU does not. Moreover, demographic elements such as age, gender, and education level introduce considerable differences in the utilization of ULW services. Drawing from the study's findings, recommendations are made for ULW managers in Myanmar to bolster services, aligning with user preferences. The resulting framework offers tangible benefits to Myanmar's educational sector, including academia, government entities, librarians, and policy framers. This pioneering research delves into the realm of ULWs in Myanmar's higher education sector. Practically, the research underscores the necessity for stakeholders, encompassing Myanmar's library experts and governing bodies, to elevate the standard of ULWs. Theoretically, a salient takeaway is the direct linkage between heightened usefulness and increased user satisfaction.

• Asia pacific journal of information systems
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• 제18권4호
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• pp.1-26
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• 2008

Rapid progress of information technology and widespread use of the personal computers have brought various conveniences in our life. But this also provoked a series of problems such as hacking, malicious programs, illegal exposure of personal information etc. Information security threats are becoming more and more serious due to enhanced connectivity of information systems. Nevertheless, users are not much aware of the severity of the problems. Using appropriate password is supposed to bring out security effects such as preventing misuses and banning illegal users. The purpose of this research is to empirically analyze a research model which includes a series of factors influencing the effectiveness of passwords. The research model incorporates the concept of risk based on information systems risk analysis framework as the core element affecting the selection of passwords by users. The perceived risk is a main factor that influences user's attitude on password security, security awareness, and intention of security behavior. To validate the research model this study relied on questionnaire survey targeted on evening class MBA students. The data was analyzed by AMOS 7.0 which is one of popular tools based on covariance-based structural equation modeling. According to the results of this study, while threat is not related to the risk, information assets and vulnerability are related to the user's awareness of risk. The relationships between the risk, users security awareness, password selection and security effectiveness are all significant. Password exposure may lead to intrusion by hackers, data exposure and destruction. The insignificant relationship between security threat and perceived risk can be explained by user's indetermination of risk exposed due to weak passwords. In other words, information systems users do not consider password exposure as a severe security threat as well as indirect loss caused by inappropriate password. Another plausible explanation is that severity of threat perceived by users may be influenced by individual difference of risk propensity. This study confirms that security vulnerability is positively related to security risk which in turn increases risk of information loss. As the security risk increases so does user's security awareness. Security policies also have positive impact on security awareness. Higher security awareness leads to selection of safer passwords. If users are aware of responsibility of security problems and how to respond to password exposure and to solve security problems of computers, users choose better passwords. All these antecedents influence the effectiveness of passwords. Several implications can be derived from this study. First, this study empirically investigated the effect of user's security awareness on security effectiveness from a point of view based on good password selection practice. Second, information security risk analysis framework is used as a core element of the research model in this study. Risk analysis framework has been used very widely in practice, but very few studies incorporated the framework in the research model and empirically investigated. Third, the research model proposed in this study also focuses on impact of security awareness of information systems users on effectiveness of password from cognitive aspect of information systems users.

• 말소리와 음성과학
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• 제16권2호
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• pp.59-69
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• 2024

성악과 실용음악 간에 추구하는 노래와 발성의 차이로 인해 이들의 음성위생에 대한 지식과 수행하는 수준은 다를 수 있다. 본 연구는 대학교에서 성악 또는 실용음악을 전공하는 대학생 121(성악전공생 58, 실용음악전공생 63)명을 대상으로 음성위생 지식과 수행을 비교하였다. 또한 음성위생 지식과 수행 정도와 주관적 음성평가 간의 상관성을 살펴보았다. 연구결과, 음성위생 지식과 수행 모두 성악전공생이 실용음악전공생에 비해 유의하게 높았으며, 전체 집단에서 음성위생 수행이 지식에 비해 유의하게 높은 점수를 보였다. 또한 음성위생 지식과 수행 정도는 낮은 양의 상관관계를 보였고, 음성위생 수행과 주관적 평가는 낮은 음의 상관관계를 보였다. 본 연구를 통해 성악전공생에 비해 실용음악전공생이 음성위생 지식과 수행 정도가 상대적으로 낮다는 것을 알 수 있다. 또한 성악전공생과 실용음악전공생 모두 특정 음성위생 항목에 대한 지식과 수행수준이 낮아 이들에게 맞는 맞춤형 음성위생 교육프로그램을 제공할 필요가 있음을 밝혔다.

• Journal of Information Science Theory and Practice
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• 제8권3호
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• pp.30-46
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• 2020

This research aimed (1) to study and analyze the ability of current information retrieval (IR) systems based on views of information behavior (IB), and (2) to propose a conceptual framework for an IB model based on the collaboration between the system and user, with the intent of developing an IR system that can apply intelligent techniques to enhance system efficiency. The methods in this study consisted of (1) document analysis which included studying the characteristics and efficiencies of the current IR systems and studying the IB models in the digital environment, and (2) implementation of the Delphi technique through an indepth interview method with experts. The research results were presented in three main parts. First, the IB model was categorized into eight stages, different from traditional IB, in the digital environment, which can correspond to all behaviors and be applied to with an IR system. Second, insufficient functions and log file storage hinder the system from effectively understanding and accommodating user behavior in the digital environment. Last, the proposed conceptual framework illustrated that there are stages that can add intelligent techniques to the IR system based on the collaboration perspective between the user and system to boost the users' cognitive ability and make the IR system more user-friendly. Importantly, the conceptual framework for the IB model based on the collaboration perspective between the user and system for IR assisted the ability of information systems to learn, recognize, and comprehend human IB according to individual characteristics, leading to enhancement of interaction between the system and users.