Online Evaluation System of Image Segmentation

Author(s):  
Khai Nguyen ◽  
Bo Peng ◽  
Tianrui Li ◽  
Qin Chen
2021 ◽  
Vol 252 ◽  
pp. 01011
Author(s):  
Chen Weihua ◽  
Shan Renzhong ◽  
Bai Cuifen ◽  
Zhang Youdong

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.


2021 ◽  
Vol 12 (1) ◽  
pp. 34-45
Author(s):  
Gajendra Kumar Mourya ◽  
Manashjit Gogoi ◽  
S. N. Talbar ◽  
Prasad Vilas Dutande ◽  
Ujjwal Baid

Volumetric liver segmentation is a prerequisite for liver transplantation and radiation therapy planning. In this paper, dilated deep residual network (DDRN) has been proposed for automatic segmentation of liver from CT images. The combination of three parallel DDRN is cascaded with fourth DDRN in order to get final result. The volumetric CT data of 40 subjects belongs to “Combined Healthy Abdominal Organ Segmentation” (CHAOS) challenge 2019 is utilized to evaluate the proposed method. Input image converted into three images using windowing ranges and fed to three DDRN. The output of three DDRN along with original image fed to the fourth DDRN as an input. The output of cascaded network is compared with the three parallel DDRN individually. Obtained results were quantitatively evaluated with various evaluation parameters. The results were submitted to online evaluation system, and achieved average dice coefficient is 0.93±0.02; average symmetric surface distance (ASSD) is 4.89±0.91. In conclusion, obtained results are prominent and consistent.


PLoS ONE ◽  
2021 ◽  
Vol 16 (8) ◽  
pp. e0256026
Author(s):  
Ling Shen ◽  
Guoxun Jing ◽  
Qiang Zeng

An online evaluation method of coal mine comprehensive level based on Fuzzy Comprehensive Evaluation method (FCE) is proposed. Firstly, following the principles of fairness, systematicness and hierarchy, taking research and development, production, sales, finance, safety and management as the first level indicators, a set of multi-level evaluation indicator system of coal mine comprehensive level combining objective and subjective evaluation indicators is established. Secondly, according to the characteristics of the indicator system, the specific process of FCE of coal mine comprehensive level is given. Then, taking SQL Server as the database management system and C#.NET as the development language, a set of B/S structure online evaluation system of coal mine comprehensive level based on FCE is designed and developed. Finally, the proposed method is applied to Coal group PM for test. The application shows that the method proposed can provide an efficient and convenient online evaluation platform to evaluate the comprehensive level of coal mines for the Coal group, and the horizontal and longitudinal comparison of the evaluation results can urge the coal mines to maintain their advantages and avoid their disadvantages, which is of some significance for improving the overall competitiveness of the Coal group.


Electronics ◽  
2020 ◽  
Vol 9 (9) ◽  
pp. 1415
Author(s):  
Nikolaos Petrakos ◽  
Stefanos Monachos ◽  
Emmanouil Magkos ◽  
Panayiotis Kotzanikolaou

Course evaluations have become a common practice in most academic environments. To enhance participation, evaluations should be private and ensure a fair result. Related privacy-preserving method and technologies (e.g., anonymous credentials, Privacy Attribute-Based Credentials, and domain signatures) fail to address, at least in an obvious way, the minimal security and practicality requirements. In this paper, we propose, evaluate, and implement an efficient, anonymous evaluation protocol for academic environments. The protocol borrows ideas from well-known and efficient cryptographic approaches for anonymously submitting ballots in Internet elections for issuing one-time credentials and for anonymously broadcasting information. The proposed protocol extends the above approaches in order to provably satisfy properties such as the eligibility, privacy, fairness and verifiability of the evaluation system. Compared to the state of the art, our approach is less complex and more effective, while security properties of the proposed protocol are verified using the ProVerif cryptographic protocol verifier. A web-based implementation of the protocol has been developed and compared to other approaches and systems.


2020 ◽  
Vol 17 (11) ◽  
pp. 5025-5031
Author(s):  
Iván Petrlik ◽  
Ciro Rodriguez ◽  
Pedro Lezama ◽  
Ricardo Inquilla ◽  
Manuel Hilario ◽  
...  

In this work, research aimed to determine the influence of the design and implementation of an online evaluation system for student learning at a university in Lima. An online evaluation system with web technology was designed and implemented that is comprised of supervised and exercise qualification exams, where students answer questions with the optional use of aids that allowed them to improve their results. It was worked with a population of 30 students of the Programming Language I subject to the Systems Engineering degree. The type of research was applied, and the design was quasi-experimental, and an entry test (pre-test) and exit test (post-test) were also applied. Likewise, instruments such as questionnaires, evaluation form, and validity and reliability tests were used in each case that allowed to know the information of the respective work. The results of the hypotheses indicate that there are significant differences in general learning, learning of conceptual, procedural and attitudinal content after applying the Online Evaluation System in the results of the input and output evaluation (p<0.05) the average of the Post Test being higher (p = 0.000); therefore, it is concluded that the system improves the evaluation of declarative, procedural and attitudinal learning.


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