• International Journal of Fuzzy Logic and Intelligent Systems
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• v.6 no.4
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• pp.271-276
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• 2006

To implement a generalization of value functions in Adaptive Search Element (ASE)-reinforcement learning, CMAC (Cerebellar Model Articulation Controller) is integrated into ASE controller. ASE-reinforcement learning scheme is briefly studied to discuss how CMAC is integrated into ASE controller. Neighbourhood Sequential Training for CMAC is utilized to establish the look-up table and to produce discrete control outputs. In computer simulation, an ASE controller and a couple of ASE-CMAC neural network are trained to balance the inverted pendulum on a cart. The number of trials until the controllers are established and the learning performance of the controllers are evaluated to find that generalization ability of the CMAC improves the speed of the ASE-reinforcement learning enough to realize the cartpole control system.

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.857-889
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• 2022

Home theft and burglary are prevalent in Dhaka city. Internet of things (IoT), in contrast, is commonly recognized as among the most advanced home security systems. However, the factors that attract young people to use IoT for household security have yet to be examined. Consequently, the purpose of this article is to validate the attitude-social influence-self-efficacy (ASE) model with personal innovativeness and perceived trust. We collected data from Dhaka citizens aged 15 to 24 using a purposive sample technique and 370 valid responses were chosen for the study. According to the analysis, all of our proposed hypotheses were found significant with a 73.6% variance. Furthermore, the effects of attitude and social influence were shown to be the highest and lowest, respectively, and trust and innovativeness were both nearly strong main predictors of ASE. Significantly, since this is one of the few studies in the technology adoption domain using this model, a solid foundation for IoT adoption for security purposes is established.

• The KIPS Transactions:PartD
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• v.11D no.6
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• pp.1327-1334
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• 2004

The purpose of this paper is to implement Web 3D environment that is not provider - oriented but client-oriented in order to provide dynamic information and to analyze knowledges by executing programs on Web pages. For these, The 3D Viewer program that parses and renders ASE files - the most general 3D Model Data file and exported text file of 3D Max Studio - is made and then converted into ActiveX 3D Viewer Component that can be used on the Web. With the purpose of managing ASE and texture file efficiently and interacting between clients and server, ActiveX Component link ASP and Database with Web Service. The 3D View Web Service can make dynamic information and cooperative works easier in Networked Virtual Reality.

• The Journal of the Korea Contents Association
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• v.18 no.10
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• pp.453-463
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• 2018

An analysis including ASE model accessing based on the intention of behavior performance of online university students is a new approach to improve academic persistence considering the characteristics of students with extensive personal variables, a uniqueness of learning environment. This study aimed to identify the relationship between ASE model including academic stress and academic persistence, and the effect of these factors on academic persistence of online university students. Data were collected from 181 sophomores in K open university from March to June, 2018. Frequency analysis, ${\chi}^2-test$, t-test, F-test, Pearson's correlation analysis, and multiple regression analysis used for data analysis. For factors affecting academic persistence, academic stress (${\beta}=-.16$, p=.016), online learning attitude (${\beta}=.44$, p<.001), and social support among social influential factors (${\beta}=.16$, p=.045) were statistically significant and the prediction model of academic persistence showed 29% explanation power (F=15.76, p<.001). To enhance academic persistence of online university students, it is needed to develop programs to reduce academic stress, improve attitude toward online learning, and improve social support.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.8
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• pp.3429-3434
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• 2015

Background: This study analyzed predictors of regular mammography performance in Korea. In addition, we determined factors affecting regular mammography performance in life-transition aged women by applying an attitude, social influence, and self-efficacy (ASE) model. Materials and Methods: Data were collected from women aged over 40 years residing in province J in Korea. The 178 enrolled subjects provided informed voluntary consent prior to completing a structural questionnaire. Results: The overall regular mammography performance rate of the subjects was 41.6%. Older age, city residency, high income and part-time job were associated with a high regular mammography performance. Among women who had undergone more breast self-examinations (BSE) or more doctors' physical examinations (PE), there were higher regular mammography performance rates. All three ASE model factors were significantly associated with regular mammography performance. Women with a high level of positive ASE values had a significantly high regular mammography performance rate. Within the ASE model, self-efficacy and social influence were particularly important. Logistic regression analysis explained 34.7% of regular mammography performance and PE experience (${\beta}=4.645$, p=.003), part-time job (${\beta}=4.010$, p=.050), self-efficacy (${\beta}=1.820$, p=.026) and social influence (${\beta}=1.509$, p=.038) were significant factors. Conclusions: Promotional strategies that could improve self-efficacy, reinforce social influence and reduce geographical, time and financial barriers are needed to increase the regular mammography performance rate in life-transition aged.

• Research in Community and Public Health Nursing
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• v.22 no.1
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• pp.1-10
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• 2011

Purpose:The present study was to apply the Attitudes-Social influence-Efficacy (ASE) model in order to identify factors associated with the assertive behavior of non-smoking college students when they are exposed to secondhand smokes in Korea. Methods: Data were collected from non-smoking college students (N=1,656, 76.6% female) at two universities in Seoul and Gyeonggi-do. The main outcome measure was the assertive behavior. ASE factors such as attitudes toward being assertive, social influences, and self-efficacy as well as socio-demographic, health-related, and smoking-related factors were self-administrated. Results: The mean of the assertive behavior (range 1~5 points) was 2.23;37.6% was not at all assertive, while 4.3% was always assertive. Higher assertiveness was significantly correlated with a higher level of positive attitude, social influence and self-efficacy (p<.05 for all). Stepwise multiple regression analyses showed that the social influence was the strongest factor associated with the assertive behavior (${\beta}=0.430$, p<.001, $R^2$=.246), followed by self-efficacy, motive to assertiveness, having any family member who had diseases, and male gender. These factors explained the assertive behavior by 39.7%. Conclusion: The ASE model may explain the assertive behavior of non-smoking college students under secondhand smoke exposure. Social influence and self-efficacy were significant factors associated with their assertive behavior.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11b
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• pp.685-688
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• 2003

인터넷 사용자들이 정적인 정보 페이지 검색의 형태를 벗어나 인터넷상에서 프로그램을 실행하여 정보를 해석하고 볼 뿐만 아니라, 변경하고 새롭게 창조할 수 있는 동적인 정보를 제공하기 위해 가장 보편적인 3차원 데이터, 3D MAX-Studio의 텍스트 출력물인 ASE 포맷 파일을 파싱하여 렌더링 해주는 3D Viewer 프로그램 구현 하고, 이를 ActiveX 컴포넌트인 OCX로 만들어 웹 페이지 상에서 실행 가능하게 한다. 그리고 데이터의 효율적 관리와 사용자와의 상호작용을 위하여 ASE 모델들을 위한 데이터베이스를 구축하여 사용자 상호작용적인 3D View Web Service를 실현한다. 이를 통하여 인터넷을 통한 실시간적인 정보 교환이나, 네트워크상의 가상공간 내에서의 공통 업무 작업의 가능성을 내다 보았다.

• Korean Journal of Optics and Photonics
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• v.29 no.1
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• pp.32-39
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• 2018

The impact of the amplified spontaneous emission (ASE) on the gain recovery time of a bulk semiconductor optical amplifier (SOA) is investigated. The gain-recovery time is obtained by determining the time evolution of the gain, carrier density, and ASE in an SOA, after the propagation of a short pump pulse and continuous-wave (CW) probe of gain dynamics. In the simulation, a wide-band-semiconductor model, which can be characterized by the material gain coefficient over a wide wavelength range, is used, because the gain bandwidth of a practical SOA is very wide. The pump pulse and counterpropagating CW probe field are considered in the simulation, with the ASE noise spectrum equally divided.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.23 no.9A
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• pp.2211-2220
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• 1998

This paper presetns an adaptive critic self-learning control system with cerebellar model articulation controller (CMAC)-based decoder integrated with the associative search element (ASE) and adatpive critic element(ACE)- based scheme. The tast of the system is to balance a pole that is hinged to a movable cart by applying forces to the cart's base. The problem is that error feedback information is limited. This problem can be sloved when some adaptive control devices are involved. The ASE incorporates prediction information for reinforrcement from a critic to produce evaluative information for the plant. The CMAC-based decoder interprets one state to a set of patways into the ASE/ACE. These signals correspond to te current state and its possible preceding action states. The CMAC's information interpolation improves the learning speed. And design inverted pendulum hardware system to show control capability with neural network.

• Research in Community and Public Health Nursing
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• v.24 no.4
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• pp.471-479
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• 2013

Purpose: This study was conducted to identify factors for smoking middle school students' intention to quit smoking on the basis of the social influence and self-efficacy [ASE] model. Methods: Data were collected from 2,015 students from five middle schools in Daegu with a structured questionnaire in March, 2013 and analyzed by using $x^2$-test, ANOVA, pearson's correlation and multiple regression analysis. Results: The smoking rate was 6.1% among the total subjects and 85.4% of the smokers had intention to quit smoking. The mean value of attitude toward quitting smoking was $2.15{\pm}0.34$, that of social influence $3.38{\pm}0.65$, and that of self-efficacy $2.84{\pm}0.95$. The multiple regression analysis showed an explanatory power of 24.7%, and experience of trying to quit smoking was the strongest factor affecting the intention to quit smoking (${\beta}$=.34, p<.01), followed by school years and social influence. Conclusion: In order to increase smoking middle school students' intention to quit smoking, intervention strategies are needed to increase positive social influence or to offer public information to younger smoking students in low school years.