scholarly journals Building of online evaluation system based on socket protocol

2021 ◽  
pp. 47-47
Author(s):  
Peng Jiang ◽  
Kexin Yan ◽  
Haijian Chen ◽  
Hai Sun
Keyword(s):  
Evaluation System ◽  
Technical Solution ◽  
Online Evaluation ◽  
Java Language ◽  
Function Design ◽  
Transmission Of Information ◽  
Platform Independence ◽  
Stable Transmission ◽  
Examination Process

As an important part of the evaluation reform, online evaluation system can effectively improve the efficiency of evaluation work, which has been paid attention by teaching institutions. The online evaluation system needs to support the safe and stable transmission of information between the client and the server, and socket protocol establishes the connection through the listening port, which can easily carry out the message transmission and process control. Because it can well meet the construction requirements of online evaluation system, it is applied in our study. The building of online evaluation system based on socket protocol includes the function design of students and teachers, data flow design, evaluation difficulty grading design and system implementation. The system uses Java language and MVC mode for development, which has good scalability and platform-independence. It realizes the paperless examination process and greatly reduces the workload of teachers. The contribution of this paper is mainly reflected in two aspects. One is to explore the construction of an online evaluation system based on the socket protocol, and it provide an Asynchronous IO technical solution for the network communication between the student and the server, which provides a reference for the development of similar systems. The second is to give the realization method of the difficulty classification of the evaluation, and classify the difficulty of the test questions, which lays the foundation for carrying out personalized testing and evaluation.

scholarly journals A web-based, branching logic questionnaire for the automated classification of migraine

2018 ◽  
Author(s):  
Eric A. Kaiser ◽  
Aleksandra Igdalova ◽  
Geoffrey K. Aguirre ◽  
Brett Cucchiara
Keyword(s):  
Migraine Without Aura ◽  
Large Scale ◽  
Automated Analysis ◽  
Automated Classification ◽  
Online Questionnaire ◽  
Demographic Differences ◽  
Web Based ◽  
Online Evaluation ◽  
Automated Algorithm

AbstractObjectiveTo identify migraineurs and headache-free individuals with an online questionnaire and automated analysis algorithm.MethodsWe created a branching-logic, web-based questionnaire—the Penn Online Evaluation of Migraine (POEM)—to obtain standardized headache history from a previously studied cohort. Responses were analyzed with an automated algorithm to assign subjects to one of several categories based on ICHD-3 (beta) criteria. Following a pre-registered protocol, this result was compared to prior diagnostic classification by a neurologist following a direct interview.ResultsOf 118 subjects contacted, 90 (76%) completed the questionnaire; of these 31 were headache-free, 29 migraine without aura (MwoA), and 30 migraine with aura (MwA). Mean age was 41 ± 6 years and 76% were female. There were no significant demographic differences between groups. The median time to complete the questionnaire was 2.5 minutes. Sensitivity of the POEM tool was 42%, 59%, and 70%, and specificity was 100%, 84%, and 94% for headache-free, MwoA, and MwA, respectively. Sensitivity and specificity of the POEM tool for migraine overall (with or without aura), was 83% and 90%, respectively.ConclusionsThe POEM web-based questionnaire, and associated analysis routines, identifies headache-free and migraine subjects with good specificity. It may be useful for classifying subjects for large-scale research studies.Trial Registration:https://osf.io/sq9ef

Classification of the fragrant styles and evaluation of the aromatic quality of flue-cured tobacco leaves by machine-learning methods

2016 ◽  
Vol 14 (06) ◽  
pp. 1650033 ◽  
Author(s):  
Li Gu ◽  
Lichun Xue ◽  
Qi Song ◽  
Fengji Wang ◽  
Huaqin He ◽  
...  
Keyword(s):  
Evaluation System ◽  
Chemical Compounds ◽  
Support Vector ◽  
Tobacco Leaves ◽  
Machine Learning Methods ◽  
Online Tools ◽  
Svm Algorithm ◽  
Assessment Performance

During commercial transactions, the quality of flue-cured tobacco leaves must be characterized efficiently, and the evaluation system should be easily transferable across different traders. However, there are over 3000 chemical compounds in flue-cured tobacco leaves; thus, it is impossible to evaluate the quality of flue-cured tobacco leaves using all the chemical compounds. In this paper, we used Support Vector Machine (SVM) algorithm together with 22 chemical compounds selected by ReliefF-Particle Swarm Optimization (R-PSO) to classify the fragrant style of flue-cured tobacco leaves, where the Accuracy (ACC) and Matthews Correlation Coefficient (MCC) were 90.95% and 0.80, respectively. SVM algorithm combined with 19 chemical compounds selected by R-PSO achieved the best assessment performance of the aromatic quality of tobacco leaves, where the PCC and MSE were 0.594 and 0.263, respectively. Finally, we constructed two online tools to classify the fragrant style and evaluate the aromatic quality of flue-cured tobacco leaf samples. These tools can be accessed at http://bioinformatics.fafu.edu.cn/tobacco .

A cognition-driven framework for the evaluation of startups in the digital economy

2020 ◽  
Vol 58 (11) ◽  
pp. 2327-2347
Author(s):  
Jéssica C.M. Simões ◽  
Fernando A.F. Ferreira ◽  
Marta Peris-Ortiz ◽  
João J.M. Ferreira
Keyword(s):  
Evaluation System ◽  
Cognitive Mapping ◽  
Digital Economy ◽  
Potential Growth ◽  
Economic Changes ◽  
Content Type ◽  
Combined Use ◽  
Funding Program ◽  
Study Context

PurposeCapital restrictions normally exist in the creation of a startup, requiring investors to analyze funding alternatives in a highly competitive climate. Although different types of incentives to support startups exist, these incentives are only available to those companies that fulfill the requirements of the funding program to which they have applied. Due to social and economic changes introduced by the digital economy, however, existing mechanisms for assessing the potential growth of startups are scarce, outdated or simply incomplete, distorting the results of such evaluations.Design/methodology/approachEvaluating business opportunities and how to exploit them are critical activities for an entrepreneur. This study sought to address this issue through the combined use of cognitive mapping and the Decision EXpert (DEX) technique. Assuming a constructivist stance, the study brought together a panel of experienced entrepreneurs and business investors to identify and articulate the criteria to be considered in the evaluation and classification of startups.FindingsThe evaluation system created in this study was tested, and the results were validated by the expert panel on a collective basis, demonstrating that the dual methodology used can increase our understanding of the decision problem at hand and lead to more informed and potentially better evaluations of the potential growth of startups.Originality/valueThe authors know of no prior work reporting the integrated use of cognitive mapping and DEX in this study context.

Research on Quantitative Assessment Method of Power Transformer Supervision Based on Extensible Theory

2014 ◽  
Vol 644-650 ◽  
pp. 2587-2590
Author(s):  
Yu Qin Xu ◽  
Xiang Ling Zhan ◽  
Zheng Ren ◽  
Tong Li ◽  
Guo Hua Qiao ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Evaluation System ◽  
Quantitative Assessment ◽  
Power Transformer ◽  
Assessment Method ◽  
Key Factors ◽  
Quantitative Classification ◽  
Element Theory

The quantitative classification of transformer supervision can improve the quality of transformer supervision. For the contents of transformer supervision, this paper establishes an index system of transformer supervision. Example results show that the extension matter-element theory which is applied to transformer supervision quantitative evaluation is more reasonable. According to the categories of transformer supervision, this paper quantifies the uncertainty and builds the evaluation system of transformer supervision. It realizes the evaluation of transformer supervision and gets the key factors which influence the transformer supervision. This evaluation system is conducive to guide the transformer supervision to be more scientific and effective.

scholarly journals Online Evaluation System of Power Grid Efficiency

2021 ◽  
Vol 252 ◽  
pp. 01011
Author(s):  
Chen Weihua ◽  
Shan Renzhong ◽  
Bai Cuifen ◽  
Zhang Youdong
Keyword(s):  
Power System ◽  
Index System ◽  
Evaluation System ◽  
Evaluation Index System ◽  
Transmission Network ◽  
Test Results ◽  
Operation Efficiency ◽  
Online Evaluation ◽  
Network Operation ◽  
Suitable System

Transmission network is an important part of power system. The operation efficiency of transmission network is one of the important indexes of power system. At present, there is still much room to improve the efficiency of China's transmission network. There is a lack of a suitable system to evaluate the operation efficiency of transmission network. In order to effectively evaluate the efficiency of transmission network, this paper establishes the evaluation index system of transmission network operation efficiency and applies it to the actual power system. The test results verify the feasibility of the proposed index system.

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