FP- International Journal of Computer Science Research (IJCSR) is an open access , double-blind peer review journal publishes by FOREX International Press that reports about findings from latest research in the concerned discipline involving the means of production and goods and services, and the ways for their optimum utilization. The research papers are also based on the areas of Computer Science, Algorithm, Genetic Algorithm, Computer Applications, Robotics, Artificial Intelligence, Bioinformatics, Cloud Computation, Computational Sciences, Data Mining, Machine Learning, Mathematical Modeling, Cryptography, Neural Network, Robotics Research, Internet and Cyber Security, Wireless Engineering, Networking Fuzzy Network, Cybernetics and Security, High Performance Computing Computer Aided Designs etc.
Under the norms of open access, the contents of the FP- International Journal of Computer Science Research can be transmitted and shared through the online medium to facilitate quick dissemination of research. The journal reports about the latest findings in the domain in the form of articles submitted by research authors. A comprehensive peer-review process ensures the published articles are in line with open access publishing standards and comprised of genuine research article or case reports. The respective tracking system helps editors and reviewers through the handling process.
It is an online manuscript submission, review systems. Review processing is performed by the editorial board members of FP- International Journal of Computer Science Research or outside experts; at least two independent reviewers approval followed by editor approval is required for acceptance of any citable manuscript. Authors may submit manuscripts and track their progress through the system, hopefully to publication. Reviewers can download manuscripts and submit their opinions to the editor. Editors can manage the whole submission/review/revise/publish process.
Submit your manuscript to the Editorial Office at email@example.com
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Fuzzy logic is an important concept in the theory of intelligent control systems. Based on this, new methods in the control domain and decision-making have been developed. The first applications in the field of regulation began in 1975. Since 1985, especially in Japan, a real explosion of practical applications has occurred using fuzzy logic. In the literature, numerous research results have been reported for the use of fuzzy logic principles in the control of industrial processes. Fuzzy logic offers a different way of dealing with control problems, compared to classical methods based on linear PID controllers. In the case of fuzzy regulation, conventional algorithms are replaced by a series of linguistic rules of the if (condition) then (conclusion). This gives a heuristic algorithm, and can take into account the operator's experience in controlling the process. The Issue aims to include new research results in scientific fields such as fuzzy controllers for linear and non-linear systems, advanced fuzzy logic control structures, fuzzy algorithms for search, classification, approximation and learning, technology, implementation, and practical applications. The authors are invited to publish working examples and case studies resulting from their research in the field, presenting precise methods of designing fuzzy logic-based regulation systems; precise methods of stability analysis; the possibility of using fuzzy logic for conducting complex, non-linear, and time-varying processes using process linguistic knowledge, deduced from expert knowledge on control issues; and the possibility of performing exceptional treatments, with changing control strategies as a result of a change in the process, to demonstrate the confidence in these structures and that they can undoubtedly provide a better quality of control. Readers are eager to receive new solutions and answers to questions related to emerging theoretical fuzzy logic control structure applications and their implementation.
The Special Issue aims to gather recent advances in the area of machine intelligence embodied in sensor technologies for IoT-enabled smart city and building applications, welcoming contributions from both theoretical and practical aspects of the IoT ecosystems. Topics of interest include (but are not limited to) the following:
Sensor processing techniques for intelligent-based smart buildings and smart cities;
Sensor based architectures, protocols, and algorithms in intelligent-based smart buildings and smart cities;
Real-time sensor data processing for intelligent-based smart buildings and smart cities;
Intelligent-based smart buildings and smart city applications for sustainable eco-cities (for environmentally friendly transportation, waste management, eco-friendly buildings, etc.);
Reliability, security, safety, privacy, and trust issues in intelligent-based smart buildings and smart cities;
QoE and QoS provisioning for intelligent-based smart buildings and smart city applications;
Distributed and networked sensors for intelligent-based smart buildings and smart cities.
1) Code Generation: The development of tools to generate code based on domai- specific languages. Some good old examples are compiler generators, like flex or yacc. Other more recent tools follow this idea, like Microsoft Entity Framework, or the VDMTools specification language. Nevertheless, there is still room for improvement and automation;
2) Code Analysis: A large amount of code is running on a daily basis on the planet. While some code is quite recent, there is a large amount of legacy software still running. Either to keep legacy software running smoothly, or to help finding bugs in recently developed software, there are tools and companies dedicated to analyzing code, finding its flaws. Unfortunately, most of these tools do static analysis and still have limitations when it comes to detecting some critical situations;
3) Code Testing: Related to the analysis of software is software quality testing. In the last few years, a large number of programmers have been adopting agile techniques that foster the usage of test-driven development, feature-driven development, and continuous integration and deployment. The main drawback is that tests are being written by the same programmers developing applications, making the development slower, and resulting in biased unit tests.
This Special Issue’s main focus is the development of tools and practices to help developers in these three aspects.