A test method of utility system management computer based on rhapsody design model

Author(s):  
J. Zeng ◽  
J. Song ◽  
B. Jia ◽  
M. Wang
1989 ◽  
Vol 26 (04) ◽  
pp. 289-302
Author(s):  
A. H. B. Duffy ◽  
K. J. MacCallum

In the early stages of ship design a considerable amount of experience and knowledge is used to build and evaluate empirical models with known design relationships. However, computer-based systems which aim to assist this stage have tended to concentrate on the analytical aspects of the process and have not been successful in integrating with this expertise and benefitting from it. This paper presents some of the results of a program of research into methods and representing knowledge of empirical numerical relationships used in these early stages of the design process. The work is based on an experimental system, DESIGNER, described in earlier papers. The DESIGNER system is used to carry out a series of evaluations of design sessions, using a warship design model. By examining the progress toward a set of design goals and the classes of interactions used, an improved understanding of the requirements of an interactive numerical design system is developed. As a consequence, methods have been developed to handle approximate values and relationships, to include design margins, and to represent explicitly in the system the definition and use of goals, or design requirements. Using a design model representing a bulk carrier, the paper then presents a worked example to illustrate the use of the new numerical knowledge techniques. It is concluded that the techniques could make a useful contribution to any interactive numerical design system which aims to provide improved use of expertise.


2013 ◽  
Vol 13 (03) ◽  
pp. 1350033 ◽  
Author(s):  
OLIVER FAUST ◽  
WENWEI YU ◽  
NAHRIZUL ADIB KADRI

This paper describes a computer-based identification system of normal and alcoholic Electroencephalography (EEG) signals. The identification system was constructed from feature extraction and classification algorithms. The feature extraction was based on wavelet packet decomposition (WPD) and energy measures. Feature fitness was established through the statistical t-test method. The extracted features were used as training and test data for a competitive 10-fold cross-validated analysis of six classification algorithms. This analysis showed that, with an accuracy of 95.8%, the k-nearest neighbor (k-NN) algorithm outperforms naïve Bayes classification (NBC), fuzzy Sugeno classifier (FSC), probabilistic neural network (PNN), Gaussian mixture model (GMM), and decision tree (DT). The 10-fold stratified cross-validation instilled reliability in the result, therefore we are confident when we state that EEG signals can be used to automate both diagnosis and treatment monitoring of alcoholic patients. Such an automatization can lead to cost reduction by relieving medical experts from routine and administrative tasks.


2019 ◽  
Vol 3 (2) ◽  
pp. 123
Author(s):  
Sri Wahyuni

Festo Fluidsim is a computer-based learning media that can be used to facilitate students inunderstanding learning methods. Festo Fluidsim is an application for making basic electronic circuits,then followed by pneumatic and electro-pneumatic circuits that can be directly simulated. The mediais suitable for use as a learning medium to help improve the learning outcomes of students majoringin industrial electronics engineering who are studying the basic subjects of electricity and electronicsat SMK Negeri 2 Banda Aceh. The type of this research is a quantitative study using the experimentalmethod, forming 2 study groups, control and subsequent experiments conducted data collection withthe test method. The results obtained indicate an increase in the value of learning outcomes from anaverage pretest 46.19 to an average at 88.21 posttest. Similarly, based on the results of statistical testsconducted, obtained an average value of N-Gain 0.79 <0.7 which can be categorized as high, the resultsof the criteria of pretest significance value 0.13> 0.05 and posttest significance value 0.59> 0 , 05which is normally distributed, and subsequently gets a Sig. (2-tailed) score is 0,000 which is smallerthan 0.05, so it can be concluded that the use of Festo Fluidsim as a learning medium can effectivelyimprove student X learning outcomes of Elementary subjects Electricity and Electronics SMK Negeri2 Banda Aceh


2019 ◽  
Vol 2 (1) ◽  
pp. 50-63
Author(s):  
Ely Nuryani ◽  
Wawan Suandi

In education field, examinations have become one way to measure the level of student achievement at school. Examinations that are usually used in schools such as daily/weekly/monthly exams, midterm exams (UTS) and final semester examinations (UAS). By using the exam, both students and teachers can evaluate each other about their teaching and learning activities. The examination model used so far is a conventional method model using paper-based tests. Traditional methods still have many disadvantages so other methods are needed to create efficiency, effectiveness, security, accuracy, and fast testing system. Another model that has been applied in school student test activities is the Computer Based Test (CBT Method). This method is proven to improve efficiency and effectiveness in the exam. Unfortunately, this new approach is only applied to national examination activities and has not been evenly distributed throughout the school. To use it in all the exam processes such as daily/weekly/monthly exams, midterm exams (UTS) and final semester examinations (UAS), this research uses waterfall metod was conducted at the Muhammadiyah Kragilan. The goal to be achieved is the creation of alternative test methods that can be used by partner schools that are more efficient, more effective, safer, more accurate and faster than the old test method


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