Soft Computing for Assessing the Quality of Colour Prints

2006 ◽  
pp. 701-710
Author(s):  
Antanas Verikas ◽  
Marija Bacauskiene ◽  
Carl-Magnus Nilsson
Keyword(s):  
Soft Computing

scholarly journals A Novel Rules Based Approach for Estimating Software Birthmark

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Shah Nazir ◽  
Sara Shahzad ◽  
Sher Afzal Khan ◽  
Norma Binti Alias ◽  
Sajid Anwar
Keyword(s):  
Fuzzy Logic ◽  
Soft Computing ◽  
Fuzzy Rule ◽  
New Technique ◽  
License Agreement ◽  
Rule Based ◽  
Software Birthmark ◽  
A New Technique

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.

Supervise the Physicochemical Quality of Ground Water Using Soft Computing Technique

2021 ◽  
pp. 1-18
Author(s):  
Sunil Kumar Sharma ◽  
Sameh S Ahmed ◽  
Vivek Sharma ◽  
Hassan Ibrahim Mohamed ◽  
Hasim Khan
Keyword(s):  
Ground Water ◽  
Soft Computing ◽  
Computing Technique ◽  
Physicochemical Quality ◽  
Soft Computing Technique

scholarly journals Soft Schemes for Earthquake-Geotechnical Dilemmas

2013 ◽  
Vol 2013 ◽  
pp. 1-34
Author(s):  
Silvia García
Keyword(s):  
Soft Computing ◽  
Holistic Approach ◽  
Data Driven ◽  
Problem Solution ◽  
Identification Schemes ◽  
Soft Computing Techniques ◽  
History Of ◽  
Qualitative Knowledge ◽  
Geotechnical Problems

Models of real systems are of fundamental importance in virtually all disciplines because they can be useful for gaining a better understanding of the organism. Models make it possible to predict or simulate a system’s behavior; in earthquake geotechnical engineering, they are required for the design of new constructions and for the analysis of those that exist. Since the quality of the model typically determines an upper bound on the quality of the final problem solution, modeling is often the bottleneck in the development of the whole system. As a consequence, a strong demand for advanced modeling and identification schemes arises. During the past years, soft computing techniques have been used for developing unconventional procedures to study earthquake geotechnical problems. Considering the strengths and weaknesses of the algorithms, in this work a criterion to leverage the best features to develop efficient hybrid models is presented. Via the development of schemes for integrating data-driven and theoretical procedures, the soft computing tools are presented as reliable earthquake geotechnical models. This assertion is buttressed using a broad history of seismic events and monitored responses in complicated soils systems. Combining the versatility of fuzzy logic to represent qualitative knowledge, the data-driven efficiency of neural networks to provide fine-tuned adjustments via local search, and the ability of genetic algorithms to perform efficient coarse-granule global search, the earthquake geotechnical problems are observed, analyzed, and solved under a holistic approach.

Soft Computing in the Quality of Services Evaluation

2014 ◽  
pp. 76-87
Author(s):  
María T. Lamata ◽  
Daymi Morales Vega
Keyword(s):  
Literature Review ◽  
Service Quality ◽  
Soft Computing ◽  
Service Provider ◽  
Service Providers ◽  
Quality Criteria ◽  
Quality Of Services ◽  
Quality Models ◽  
Services Evaluation

The evaluation of the Quality of Services (QoS) has been a topic of particular interest to many authors. In the literature, many works have been developed where different models are proposed to assess the QoS in different environments. These models evaluate the QoS from a set of criteria, which may vary from one environment to another, and thus they do not always have the same importance. Considering this, there have been many studies proposing techniques to evaluate the performance of the quality criteria. Techniques have also been developed to obtain the ranking of a given service provider. The purpose of this chapter is to make a literature review of service quality models, methods for determining the weights of the criteria, and the methods used to conduct an overall assessment of service providers.

scholarly journals METHOD OF MULTIPARAMETRIC QUALITY ESTIMATION BASED ON SOFT COMPUTING

2019 ◽  
Vol 1 (7) ◽  
pp. 25-30
Author(s):  
E. A. Frolova ◽  
E. G. Semenova ◽  
Ya. A. Ivakin ◽  
M. S. Smirnova
Keyword(s):  
Quality Assessment ◽  
Soft Computing ◽  
Computing Methods ◽  
Quality Estimation ◽  
Data Assessment ◽  
Degree Of Satisfaction ◽  
Soft Computing Methods ◽  
Aeronautical Engineering ◽  
Electronic Content

The method of multi-level quality assessment of interactive electronic technical manuals for aeronautical engineering contains the main approaches and instrumental base for the implementation of a multi-parametric assessment of the quality of electronic content of these manuals. The purpose of assessing the quality of interactive electronic technical manuals for aviation equipment is to obtain a consolidated conclusion on the degree of satisfaction of the need to create interactive electronic technical manuals in the conditions of unclear initial data used for the assessment received from experts. The article shows that the quality assessment of interactive electronic technical manuals for the operation and repair of aviation equipment can be made on the basis of nonnumeric or soft measurements due to the fuzzy nature of the initial qualimetric data. Assessment of the compositional importance of simpler quality indicators of interactive electronic technical manuals consisting of more complex using significance ranks determined by soft computing methods makes it possible to take into account any fragmentary and fuzzy expert data on the comparative weight of individual indicators included in the summary ones.

scholarly journals Fuzzy Environmental Model for Evaluating Water Quality of Sangam Zone during Maha Kumbh 2013

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Pankaj Srivastava ◽  
Anjali Burande ◽  
Neeraja Sharma
Keyword(s):  
Water Quality ◽  
Soft Computing ◽  
Physicochemical Parameters ◽  
Anthropogenic Activities ◽  
Computing System ◽  
Research Paper ◽  
Industrial Wastes ◽  
Human Beings ◽  
Environmental Model

It is a well-known fact that water is the basic need of human beings. The industrial wastes nearby rivers and several anthropogenic activities are responsible for deteriorating water quality of rivers in India. The present research paper deals with the design and development of soft computing system to assess the water quality of rivers Ganga and Yamuna during the Maha Kumbh 2013 in and around Sangam Zone, Allahabad, by making use of physicochemical parameters relationship.

Selection of the Staff With the Use of Soft Computing

2018 ◽  
Vol 6 (6) ◽  
pp. 61-65
Author(s):  
Михаил Кричевский ◽  
Mihail Krichevskiy
Keyword(s):  
Neural Networks ◽  
Soft Computing ◽  
Fuzzy Systems ◽  
Fuzzy Inference ◽  
Training Methods ◽  
Evolutionary Computations ◽  
Inference System ◽  
Inaccurate Information ◽  
Neural Fuzzy

In a changing environment and inaccurate information, it is difficult to get an unambiguous answer about the quality of the candidate for the position, based only on the results of viewing the applicant’s questionnaires. As a consequence, recently there has been a trend towards the use of soft computing (neural networks, fuzzy logic and evolutionary computations) in tasks personnel’s selection. The article presents the solution of such a problem using the methods of soft computing for a software company. We use a neural-fuzzy system such as the ANFIS (Adaptive Network-Based Fuzzy Inference System) to quantify the candidate’s quality. The idea of neural-fuzzy systems is to determine the parameters of fuzzy systems through training methods used in neural networks. The most important advantage of this system lies in the automatic creation of the rules base. After completing the training, we receive an assessment of the quality of the candidate in the form of a scoring on a 10-point scale. In addition, we derive a regression equation that relates the candidate’s quality with the input variables.

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