Investigating the surface quality of the burnished brass C3605—fuzzy rule-based approach

Software birthmark is a unique quality of software to detect software theft. Comparing birthmarks of software can tell us whether a program or software is a copy of another. Software theft and piracy are rapidly increasing problems of copying, stealing, and misusing the software without proper permission, as mentioned in the desired license agreement. The estimation of birthmark can play a key role in understanding the effectiveness of a birthmark. In this paper, a new technique is presented to evaluate and estimate software birthmark based on the two most sought-after properties of birthmarks, that is, credibility and resilience. For this purpose, the concept of soft computing such as probabilistic and fuzzy computing has been taken into account and fuzzy logic is used to estimate properties of birthmark. The proposed fuzzy rule based technique is validated through a case study and the results show that the technique is successful in assessing the specified properties of the birthmark, its resilience and credibility. This, in turn, shows how much effort will be required to detect the originality of the software based on its birthmark.

Download Full-text

Fuzzy rule-based approach for design and analysis of a Trust-based Secure Routing Protocol for MANETs

Procedia Computer Science ◽

10.1016/j.procs.2018.05.064 ◽

2018 ◽

Vol 132 ◽

pp. 653-658 ◽

Cited By ~ 7

Author(s):

Mukesh Kumar Garg ◽

Neeta Singh ◽

Poonam Verma

Keyword(s):

Routing Protocol ◽

Fuzzy Rule ◽

Secure Routing ◽

Rule Based ◽

Secure Routing Protocol ◽

Rule Based Approach

Download Full-text

An Improved Enhancement Technique for Mammogram Image Analysis: A Fuzzy Rule-Based Approach of Contrast Enhancement

2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA) ◽

10.1109/cspa.2019.8696016 ◽

2019 ◽

Author(s):

Nurshafira Hazim Chan ◽

Khairunnisa Hasikin ◽

Nahrizul Adib Kadri

Keyword(s):

Image Analysis ◽

Contrast Enhancement ◽

Fuzzy Rule ◽

Rule Based ◽

Enhancement Technique ◽

Mammogram Image ◽

Rule Based Approach

Download Full-text

Self-Anamnesis with a Conversational User Interface: Concept and Usability Study

Methods of Information in Medicine ◽

10.1055/s-0038-1675822 ◽

2018 ◽

Vol 57 (05/06) ◽

pp. 243-252 ◽

Cited By ~ 9

Author(s):

Sandra Hochreutener ◽

Annkathrin Pöpel ◽

Richard May ◽

Kerstin Denecke

Keyword(s):

User Interface ◽

Health Care Team ◽

Markup Language ◽

Usability Study ◽

Medical Assistant ◽

Current Version ◽

Music Therapists ◽

Rule Based ◽

Rule Based Approach

Objective Self-anamnesis is a procedure in which a patient answers questions about the personal medical history without interacting directly with a doctor or medical assistant. If collected digitally, the anamnesis data can be shared among the health care team. In this article, we introduce a concept for digital anamnesis collection and assess the applicability of a conversational user interface (CUI) for realizing a mobile self-anamnesis application. Materials and Methods We implemented our concept for self-anamnesis for the concrete field of music therapy. We collected requirements with respect to the application from music therapists and by reviewing the literature. A rule-based approach was chosen for realizing the anamnesis conversation between the system and the user. The Artificial Intelligence Markup Language was exploited for encapsulating the questions and responses of the system. For studying the quality of the system and analyzing performance, humanity, effect, and accessibility of the system, we performed a usability test with 22 persons. Results The current version of the self-anamnesis application is equipped with 63 questions on the music biography of a patient that are asked subsequently to the user by means of a chatbot conversation. The usability study showed that a CUI is a practical way for collecting anamnesis data. Users felt engaged of answering the questions and liked the human characteristics of the chatbot. They suggested to extend the conversation capabilities of the chatbot so that the system can react appropriately, in particular when the user is not feeling well. Conclusions We could demonstrate the applicability of a CUI for collecting anamnesis data. In contrast to digital anamnesis questionnaires, the application of a CUI provides several benefits: the user can be encouraged to complete all queries and can ask clarifying questions in case something is unclear.

Download Full-text

Modified Fuzzy Rule-Based Classification System for Early Warning of Student Learning

Journal of Educational Technology Systems ◽

10.1177/0047239519869324 ◽

2019 ◽

Vol 48 (3) ◽

pp. 385-406 ◽

Cited By ~ 1

Author(s):

Qun Zhao ◽

Jin-Long Wang ◽

Tsang-Long Pao ◽

Li-Yu Wang

Keyword(s):

Student Learning ◽

Classification System ◽

Prediction Accuracy ◽

Confusion Matrix ◽

Great Influence ◽

Fuzzy Rule ◽

Two Dimensions ◽

Learning Performance ◽

Rule Based

This study uses the log data from Moodle learning management system for predicting student learning performance in the first third of a semester. Since the quality of the data has great influence on the accuracy of machine learning, five major data transmission methods are used to enhance data quality of log file in the data preprocessing stage. Furthermore, the modified FRBCS-CHI (fuzzy rule-based classification system using Chi's technique) algorithm, based on the weighted consequence, is proposed to improve the prediction accuracy of classification. Thereafter, the confusion matrix with two dimensions is employed to illustrate the prediction results, such as false positives, false negatives, true positives, and true negatives, which are further used to produce the parameters of prediction performance, including the precision rate, the recall rate, and the F-measure. From the results of experiment, the proposed modified FRBCS-CHI method will have higher prediction accuracy than the original FRBCS-CHI method.

Download Full-text