Journal of Computer Sciences and Applications
The field of security, intelligence and mobility in computer science has been one of the most emerging areas nowadays. With the progress of cyber technologies, many started believing that a computer could be a convenient, but, at the same time, a very safe place to work. Unfortunately, this is not the case because, as everything else, cyber era has its advantages and disadvantages. For that reason, cyber security becomes the ultimate goal for today’s computer experts as well as mobile and intelligence-driven systems. Cyber plane is strongly connected with risks and threats and it requires very skillful individuals to take part in it. From that perspective, the entire field of cyber science may appear as a big challenge for the future scientists and engineers. This Special Issue should focus on the main challenges that modern computer science faces up at the moment. The aim of the Special Issue would be to encourage new scientists and researchers to participate into exploring, discussing and understanding the novel ways and directions in the field of cyber science. The special attention would be paid to cyber defense, intelligent solutions, mobile technologies, strategic planning and many other areas of modern computing. The purpose of this Special Issue would be to bring together the newest and best research efforts and contributions which would be capable to present good reviews, current studies, modern analysis, novel models and maybe invoke some cutting-edge ideas regarding this field.
About the issue
The scope of topics covered in the this issue include:
Submission Deadline: June 01, 2015Notification of Acceptance: June 15, 2015Final Version Due: July 15, 2015Special Issue Publishing Date: August 01, 2015
Chief Guest Editor
Milica DjekicAustralian Science MagazineEmail: firstname.lastname@example.org
Submit your article now
Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Milica Djekic at the address: <email@example.com>
or through the journal’s Paper Submission System.
The amount of information that is being created, every day, is growing rapidly. As such, it is now more common than ever to deal with extremely large datasets daily. As systems develop and become more intelligent and adaptive, analyzing their behaviour is more challenging as the heterogeneity, volume and speed of data generation is increased. This is further exacerbated with the use of wireless networks, sensors, smartphones and the Internet. Such systems are capable of generating a phenomenal amount of information and the need to analyze their behaviour, to detect security anomalies is becoming harder.
Furthermore, securing such systems is a challenge. As threats evolve, so should security measures develop and adopt increasingly innovative security techniques. The future lies with combating cyber-attacks in an innovative way, where adaptive systems are employed and existing methods are built upon to provide well-structured defence in depth. Despite the clear need to develop effective protection methods, the task is a difficult one, as there are significant weaknesses in the existing security currently in place.
This special issue of the Journal of Computer Sciences and Applications, invites authors to submit papers presenting their research on the area of Big Data Analytics in Intelligent Systems.
Submission Deadline: May 31, 2015Notification of Acceptance: July 31, 2015Final Version Due: August 31, 2015Special Issue Publishing Date: September 30, 2015
Dr William HurstLiverpool John Moores UniversityEmail: firstname.lastname@example.org
Guest EditorDr Chelsea DobbinsLiverpool John Moores UniversityEmail: email@example.com
Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Dr William Hurst at the address: <firstname.lastname@example.org>
Penrose and Hameroff have proposed an idea that the brain can attain high efficient quantum computation by functioning of microtubular structure of neurons in the cytoskelton of biological cells, including neurons of the brain. They have considered that the human brain is superior to conventional silicon processors. From the standpoint of quantum physics, the latest researches have presented many theories which show the extraordinary capability of brain functions, that lead to the possibility to realize the hyper computational system beyond the Turing machine, the mind-brain interface and nano-size robots with nano-brain architecture. In this sense, the true understanding of brain function, from both a theoretical and experimental point of view, is a very important theme of computer science which might lead to the true understanding of the problems of human consciousness and long-range biological coherence between living systems observed in a natural world. Recent researches also show the fundamental role that quantum vacuum plays in the physiology of living organisms and transmission of information, in particular as regards as brain functions and consciousness. The aim of this special issue it to explore and discuss the most novel and recent theoretical and experimental development about the subject of hyper computation, brain mechanism and the problem of consciousness; to review, comparing and contrasting different points of view; to propose and develop new approaches of scientific research, rapidly and effectively exchanging perspectives and to encourage new lines of research, possibility stimulating the interest of the new generation of researchers in this field.
Submission Deadline: January 30, 2015Notification of Acceptance: March 30, 2015Final Version Due: April 30, 2015Special Issue Publishing Date: May 30, 2015
Takaaki MushaAdvanced Science-Technology Research OrganizationEmail: email@example.com
Guest EditorLuigi M. CaligiuriFoundation of Physics Research Center and University of CalabriaEmail: firstname.lastname@example.org
A. BandyopadhyayInstitute of Medical and Engineering Science, MITEmail: email@example.com
Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Takaaki Musha at the address: <firstname.lastname@example.org>
Database as repository always needed in every computer/mobile application to save transaction and data recording purposes. Database as data reorganizing should be treated in a good manner and in the right hand database should be able to win the competition and get excellent services. Meanwhile, data warehouse as a technology to denormalized normalized database for both structured and unstructured database, has best performance in term of SQL statement execution when access denormalized database. Moreover, Big Data as new coming term has similarities with Data Warehouse since both maintain huge data, used for reporting and to organize both structured and unstructured database with implementation Hadoop including Map Reduce framework. Furthermore, Data Mining as a technology to mine the pattern, should need data warehouse or Big Data in order for excellent performance mining pattern process. It is the glory of Database, Data Warehouse and Data Mining as frontier technology which serve the human civilization. The glory of Database, Data Warehouse and Data Mining should be sustained and endured as long as there is human civilization, no matter what the term changing in the future.
Submission Deadline: January 21, 2015Notification of Acceptance: February 21, 2015Final Version Due: March 21, 2015Special Issue Publishing Date: April 21, 2015
Spits WarnarsDatabase, Datawarehouse and Data Mining Research center, Surya UniversityEmail: Spits.email@example.com
Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Spits Warnars at the address: <Spits.firstname.lastname@example.org>
The solution of NP hard/ NP Complete problems is one of the most contentious issues in Computer Science. The NP problems are of two types namely decision problems and optimization problems. The NP Hard optimization problems have traditionally been dealt with via techniques like Dynamic algorithms, which are computationally inefficient. The need of the hour is to solve the problems in requisite time and at the same time appropriately deal with the PSpace issues. The special issue intends to explore the use of techniques like Cellular Automata and Diploid Genetic Algorithms in the above. The papers presenting the use of Genetic Algorithms, Neural networks, Fuzzy Logic etc., to solve such problems, are also encouraged provided that they present credible data and experimental results.
The special issue intends to be a pioneer in the use of the above techniques. The issue would serve two purposes. First is the applicability of a technique in solution of a particular problem and the second would be the handling of theoretical issues in the yet unexplored Soft Computing techniques. The issue also welcomes the papers pertaining to the PSapce and time complexity issues in the above problems.
The issue welcomes research papers, reviews and reports pertaing to the above topics.
Submission Deadline: January 08, 2015Notification of Acceptance: February 18, 2015Final Version Due: February 26, 2015Special Issue Publishing Date: March, 2015
Harsh BhasinJamia HamdardEmail: I_harsh_bhasin@yahoo.com
Guest EditorDr. Parul AgarawalEmail: email@example.com
Professor Naresh ChauhanDepartment of Computer Science, YMCA, Fbd. IndiaEmail: firstname.lastname@example.org
Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Harsh Bhasin at the address: <I_harsh_bhasin@yahoo.com>
This special issue aims to build up bridges for analysis and evaluation of naturally inspired computational intelligence models across observed educational/learning phenomena which performed via main brain functions (Learning & Memory). In other words, this issue proposes on one hand, the theoretical analogous connectivity between cognitive neuroscience science, and swarm intelligence paradigm such as (Ant Colony System).On the other hand it aims theoretically to justify qualified educational decision as well as optimality of learning performance evaluation. The scope of this issue, addresses more specifically the comparative study of computational intelligence concepts observed by learning, autonomous inferences, and perceptions mimicking the brain’s mechanisms while considering behavioral response and / or learning of non-human, and human. In particular, qualified scientists are herein encouraged to submit their distinct interdisciplinary research articles in their diverse expertise areas. Anticipated innovative manuscripts based upon theoretical research topics would be capable of optimal evaluation of learning performance tasks, in addition to complex qualified educational decisions. Objectively, submitted scientists’ papers have to cover adopted interdisciplinary computational intelligence research frame belonging to recently proposed research direction. Accordingly, those research topics are performed via realistically dynamical modeling of proposed educational / learning phenomena. They associated with main brain functions (Learning & memory) using artificial neural networks and ant colony systems. Briefly some of topics of presented issue are given in below.
The topics of this special issue include, but are not limited to:
Submission Deadline: December 31, 2014Notification of Acceptance: January 31, 2015Final Version Due: February, 2015Special Issue Publishing Date: March, 2015
Hassan MH MustafaStaff member with Computer Eng. Dpt.-Al-Baha UniversityEmail: email@example.com
Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Hassan MH Mustafa at the address: <firstname.lastname@example.org>
The objectives of special issue on “Big data- Models, Management, Protection & Integrity” are providing cross-disciplinary inventive & ground-breaking research ideas and applications results for big data including novel theory, algorithms and applications. It also aims to provide platform and establish an effective channel of communication between researchers, academics, government agencies, industries research institutions and persons concerned with the complexity of big data. The journal examines the challenges facing big data today and going forward including, but not limited to: Big data Technologies, Techniques, tools, data capture and storage; search, sharing, and analytics; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; scalable storage systems and big data management. This special Issue provides a vehicle for disseminating the latest research in big data and applications.
Submission Deadline: November 30, 2014Notification of Acceptance: December 30, 2014Final Version Due: January 20, 2015Special Issue Publishing Date: February 20, 2015
Dr. Manoj Kumar SinghDept. of Computing, School of Engineering, Adama Science & Technology University, Adama, Ethiopia, Africa-1888.Email: email@example.com
Guest EditorDr. MELQUIADES R. HAYAG, JRDept. of Computing, School of Engineering, Adama Science & Technology University, Adama, Ethiopia, Africa-1888.Email: firstname.lastname@example.org
Manuscripts should be submitted as an attached file to an e-mail directed to the Chief Guest Editor, Dr. Manoj Kumar Singh at the address: <email@example.com>
This special issue will focus on extracting and visualizing knowledge from structured , unstructured data, big data, texts and documents. The special issue aims to address methods, techniques, approaches, tools and technologies in knowledge extraction and visualization, underlying the challenging issues governing their designs and the major directions for future developments in these fields. The aim of this special issue is to present original work on knowledge extraction and visualization. Researchers, scholars and practitioners in these fields are encouraged to submit their contribution. Submissions are solicited on, but not limited to, the following topics in knowledge extraction and visualization.
Submission Deadline: February 01, 2014Notification of Acceptance: March 01, 2014Final Version Due: May 01, 2014Special Issue Publishing Date: August 01, 2014
Dr. Shaidah JusohAssociate Professor, College of Computer Science & Information System, Najran University, Najran, Saudi ArabiaEmail: Sbjusoh@nu.edu.sa or firstname.lastname@example.org
Dr. Hejab M. AlfawarehAssistant Professor, College of Computer Science & Information System, Najran University, Najran, Saudi ArabiaEmail: email@example.com or firstname.lastname@example.org
Dr. Rabiah A. KadirSenior lecturer, Dept of Computer Science, Faculty of Computer Science & Information Technology, Universiti Putra Malaysia, MalaysiaEmail: email@example.com or firstname.lastname@example.org
If you would like to submit an article to this special issue, please send your submissions via email directly to our guest editor, Dr. Shaidah Jusoh <email@example.com> or <Sbjusoh@nu.edu.sa>