scholarly journals Assessment of Implementing Cloud-based Career and Educational Guidance System using Fuzzy Logic Modelling

The career guidance process for graduates and students is affected by many factors; this, in turn, has motivated researchers to use a variety of scientific methodologies and techniques for proposing career guidance systems and solving related problems. The choice of right career not only positively affects the professional life of graduates, but also the academic life of students. As a result, the significance of developing career and educational guidance systems has increased. In this paper, the researcher discusses the effectiveness of using the proposed cloud-based career and educational guidance system to help students and graduates move to the professional world. The main objectives of the system include helping students choose their majors; helping graduates choose a career that is appropriate to their educational skills, practical experiences, and scientific ability; providing graduates and students with training courses required for specific careers. The proposed system is presented as a “Career-as-a-Service” cloud model. In this paper, the use of Fuzzy Logic for defining system inputs, processes, and outputs as a new representation for career and educational guidance system parameters is introduced. Cronbach’s alpha tests are used for measuring the validity and reliability of the study questionnaires’ content. In this study, several analysis methods such as Spearman correlation, stepwise multiple linear regression, skewness, mean, and standard deviation have been used to determine the effect and performance of the proposed system through dominating factors such as gender, age, class standing, enrolment status, specialization, and city.

Author(s):  
Hosam F. El-Sofany ◽  
Samir Abou El-Seoud

The present tools of career and educational guidance provided by educational organizations do not seem to address the problems faced by students, and graduates for applying to their promised job. The growing benefits of cloud software as services increase the requirements of implementing novel applications for career and educational guidance as a cloud service provided by the universities' portal. In this research, the authors present the benefits of using career guidance apps and introduce the implementation of career and educational guidance system (CEGS) in Higher Education. The system is designed specifically for school-level, university students, and graduates. Fuzzy logic operations were used to represent the system inputs, outputs, and rules. The paper aims to present a career and educational guidance application as a digital transformation application in the area of career counseling. The proposed system provides a student with interactive tools to select suitable colleges that match their educational skills and help graduates to select suitable careers for their practical experiences as well as provide them with essential training programs that are needed for particular jobs. The authors used the 2*3 factorial design method for the initial evaluation of the proposed system and to evaluate both students' and graduates' feedbacks. The researcher also uses the one-way ANOVA to find out if there is a remarkable difference between the users' perceptions scores.


2016 ◽  
Vol 6 (Special Issue) ◽  
pp. 01-04
Author(s):  
Akshay U. Kulkarni ◽  
Amit M. Potadar ◽  
Amogh R. Gaonkar ◽  
Amresh Kumar

2019 ◽  
Vol 3 (1) ◽  
pp. 186-192
Author(s):  
Yudi Wibawa

This paper aims to study for accurate sheet trim shower position for paper making process. An accurate position is required in an automation system. A mathematical model of DC motor is used to obtain a transfer function between shaft position and applied voltage. PID controller with Ziegler-Nichols and Hang-tuning rule and Fuzzy logic controller for controlling position accuracy are required. The result reference explains it that the FLC is better than other methods and performance characteristics also improve the control of DC motor.


2021 ◽  
Vol 58 (2) ◽  
pp. 74-90
Author(s):  
Debra S. Osborn ◽  
Caitlyn A. Brown ◽  
Michael J. Morgan

1983 ◽  
Vol 59 (2) ◽  
pp. 217-222 ◽  
Author(s):  
M. Peter Heilbrun ◽  
Theodore S. Roberts ◽  
Michael L. J. Apuzzo ◽  
Trent H. Wells ◽  
James K. Sabshin

✓ The production model of the Brown-Roberts-Wells (BRW) computerized tomography (CT) stereotaxic guidance system is described. Hardware and software modifications to the original prototype now allow the system to be used independently of the CT scanner after an initial scan with the localizing components fixed to the skull. The system is simple and efficient, can be used universally with all CT scanners, and includes a phantom simulator system for target verification. Preliminary experience with 74 patients at two institutions is described. It is concluded that CT stereotaxic guidance systems will become important tools in the neurosurgical armamentarium, as they allow accurate approach to any target identifiable on the CT scan.


2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Sheng Hu ◽  
Shuanjun Song ◽  
Wenhui Liu

Considering the problem that the process quality state is difficult to analyze and monitor under manufacturing big data, this paper proposed a data cloud model similarity-based quality fluctuation monitoring method in data-driven production process. Firstly, the randomness of state fluctuation is characterized by entropy and hyperentropy features. Then, the cloud pool drive model between quality fluctuation monitoring parameters is built. On this basis, cloud model similarity degree from the perspective of maximum fluctuation border is defined and calculated to realize the process state analysis and monitoring. Finally, the experiment is conducted to verify the adaptability and performance of the cloud model similarity-based quality control approach, and the results indicate that the proposed approach is a feasible and acceptable method to solve the process fluctuation monitoring and quality stability analysis in the production process.


2015 ◽  
pp. 185-187
Author(s):  
Donghe Pang ◽  
Zhixiang Tong ◽  
Hongli Zhang ◽  
Xiaohui Meng ◽  
Changbin Sun ◽  
...  

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Nur Fitriani ◽  
Mr. Basukiyatno

The purpose of this study is to examine and analyze the effect of compensation and organizational culture on performance by mediating job satisfaction of nurses. In this study, the population was all nurses in the Civil Hospital inpatient Kardinah. The sampling method using purposive sampling. Retrieval of data using questionnaires. Tests conducted by the research instrument validity and reliability, statistical test equipment being used is multiple regression analysis, R2 test and t-test, to test the significance of regression coefficients generated. The results showed that compensation is positive and significant effect on affective commitment, job satisfaction and commitment continuants, but had no effect on performance. Organizational culture of innovation and risk-taking has positive influence on affective commitment and performance. Results-oriented organizational culture has a positive effect on job satisfaction and performance. People-oriented organizational culture has a positive effect on job satisfaction. Affective commitment and commitment continuants positive effect on job satisfaction but had no effect on performance. Job satisfaction has a positive effect on performance. Affective commitment, job satisfaction and commitment continuants is purely capable of mediating variables to explain the effect of indirect compensation to performance. Affective commitment and job satisfaction are not able to explain the indirect effect of organizational culture of innovation and risk-taking on the performance of nurses in hospitals Kardinah Tegal City.Keywords: compensation, organizational culture, , job satisfaction and performance of nurses


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