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Best Paper Awards 2016

Best Research Paper

Dr. Roelien Goede
North- West University, South Africa

Best Student Paper

Mr. Dennis Castleberry
Center for Computation and Technology, USA

Best Paper Awards 2015

Best Research Paper

Dr. Danny Seidner
College of Management Academic Studies, Israel

Best Student Paper

Mr. Ayman Qahmash
University of Warwick, UK


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Submit your papers for Panel Discussion on “Computational Thinking Education in K-12”, chaired by Prof. Kong Siu Cheung.

Selected Paper Submissions for Oral Presentation at CSEIT 2017 (as at 22 May 2017)


PAPER TITLE

In this advanced world, all residents having their record in any of the banks and all are getting compensations or sparing their cash in their ledgers. At the point when need of cash happens, essentially get executed from ATM machines. ATM utilizes secret key security set by proprietor yet at the same time numerous wrongdoings are occurring in which getting looter is unrealistic as ATM machine is not have any insight of recognizing whether the exchange is done in some weight or not. Numerous procedures are available to handle the state of ATM card lost yet at the same time no arrangement of getting the card proprietor circumstance amid exchange of cash. To handle such kind of wrongdoings, bank database will store all relatives eye iris output and after that the primary verification of card holder by Stick and second confirmation will be eye iris of card holder. Camera mounted over machine will first output eye iris to confirm and after confirmation it will check the development of eye iris of ATM client. In the event that client eye iris development is static then ATM machine will bear on the further strides for exchange of cash or else work. In any case, if checked eye iris demonstrates any development and not static then it will take into consideration same technique yet machine at end will show zero cash in ledger or card administration is debilitated. The execution of this insight will diminish the criminal cases in certain circumstance.
A one-semester introductory undergraduate course in computer game development is described. The course has been taught for one year in online format. Before that the course was taught using a traditional face-to-face format for five years. The course has been part of a very successful curriculum in computer game development introduced at two universities. In an effort to reach more students it was decided the traditional face-to-face computer game development program should be converted into online courses. There were significant challenges in converting the introductory course material into online format. Despite fears the online course would not be as compelling as the original course, enrollment has grown. Part of the success of the course in the new format has been due to taking advantage of a variety of modes of teaching not available in the traditional setting.
Biometric system is used for an identification and authentication of the authorised person grant physical access to secure area by using ear and face recognition system of individuals using biological traits, like ear or face. The technology is now finding lot of other applications such as identity management and access control. Biometric system is used here for an identification and authentication of the authorised person for cleaning the solar panel[1,2]. Day by day the increasing costs of electricity and concern for the environmental impact of fossil fuels, implementation of solar power are rising. The method used for solar power generation is with solar panel arrays. Dust and debris accumulated on solar panels reduces their efficiency in energy generation considerably and emphasizes the need to keep the panel’s surface clean. On the other hand manual washing and cleaning system for solar panels are very expensive & required lot of water. Proposed system is design with the help of Microcontroller, which is used for easily control of all the devices interfaced in this model[1,2].
Engagement is instrumental to students’ learning and academic achievements. In this study, we model the engagement states of students who are working on programming exercises in an intelligent tutoring system. Head pose, keystrokes and action logs of students automatically captured within the tutoring system are fed into a Hidden Markov Model for inferring the engagement states of students. With the modeling of students’ engagement on a moment by moment basis, intervention measures can be initiated automatically by the system when necessary to optimize the students’ learning. This study is also one of the few studies that bypass the need for human data labeling by using unsupervised machine learning techniques to model engagement states.
Educators are adapting to the changing education environment by considering gaming as an instrument in the learning process. Educational games allow the student to be more active in the learning process and increase participation. This study investigates the role of games in the learning process and the perceived effect of gaming on academic performance. It also explores gaming habits of students and opinions on the use of mobile technology for improving future development of educational games.
Educators have used different approaches to make reading material accessible and appropriate for any reader. The new generations of teachers are using more frequently computers to do two different processes: machine translation and readability formulas. The use of computers allows access to vast new resources of information more consistently. But, we know little about the possible relationship between machine translation and readability formulas. We need to consider the possible consequences when ideas are transferred between different languages, cultures, or reader’s capabilities. We can also document the pros and cons views toward the used of mathematical models in natural language processing. Evaluating the consequences of automatic translation and the changes in readability can open a new field of study in the relationship between text, language and communication in a more polyglot world.
Personal Software Process (PSP), which was developed at the Software Engineering Institute (SEI), Carnegie Mellon University, is a training strategy to improve the discipline of software engineers but its greatest drawback is the amount of written reports that needs to be done for every weekly programming assignment. This accounts for a huge time overhead spent on the postmortem part of the training. In the School of Computer Science & Engineering, CSUSB, we have experimented on a Modified PSP (mPSP) that has only 6 major forms and emphasizes UML diagrams that are used in the software design and analysis part of the training. The mPSP was incrementally developed from 4 consecutive classes of software engineering: Winter 2014, Winter 2015, Spring 2015, and Winter 2016. The latest version of mPSP resulted in great acceptance by the students and improving the student’s software engineering skills.
Phishing, and in particular spear phishing style attacks are deemed, by many, as the biggest threat to an organization’s internal processes and data. By one user clicking on the ‘wrong’ link or downloading an infected attachment, a foothold within the network could be achieved, with potentially dire consequences. Is training users on anti-phishing techniques essential to help combat this threat? And could it reduce the risk of employees inadvertently giving access to an organization’s, often sensitive, resources? This paper set out to discover what the impact of training employees in these anti-phishing techniques would have, and whether delivering focused training to participants would successfully mitigate against phishing style attacks. Two ethically planned phishing campaigns were carried out which involved sending secondary school teachers phishing emails with embedded links, and then tracking/recording their responses. A Randomized Control Trial (RCT) approach was used to establish two random, but equally balanced groups. The experimental group was given anti-phishing training half way through the process, and the comparison group was not. After analysis of the results, it was clear that training, even indirectly via email, reduced the click-through rates of the embedded links within the phishing emails, even with a well-crafted spear phishing email that appeared to come from within the organization. 28% of recipients in the experimental group, who received the training, clicked on the embedded link, compared with 48%, of the comparison group, who did not. Statistical analysis of the results, using a Chi-square test, was able to show that the anti-phishing awareness training, received by the experimental group, was responsible (at the 0.05 significance level) for this. This paper suggests that, with suitable anti-phishing awareness training, the probability of employees falling for phishing or spear phishing-style attacks, would be lowered considerably.
Current computer science curricula primarily focuses on formal and abstract aspects of computing that are essential for IT professionals and CS researchers, but are weak in developing innovative thinking which is more important for the new generation workforce to cope with soft-power revolution. We believe that students should have sound experience on Project-Based Learning (PBL) with their own initiative, and have achieved small or big success on their projects. The Discovery Lab at Florida International University (FIU) has provided undergraduates creative activities and research environments with cutting edge technology with active learning. It allows them to be trained for creativity and innovation as well as with expertise for IT and CS professions. In this paper, we will present our approach to foster innovative aptitude among undergraduate students to meet the challenges of emerging technologies. Outcomes of this approach demonstrate effectiveness of the proposed educational methodology.
Discrete Structures concepts are foundational in nature and connect with many areas of computer science. However, many students view Discrete Structures as a math class that has little relevance to the rest of their computer science education. The topics in Discrete Structures and Algorithms are highly related, both theoretically and in specific content. This paper presents both an argument for merging Discrete Structures topics into an Algorithms class as well as a detailed list of lab activities that make the implementation possible.
Business Process Management (BPM) is a management approach to identify, document, manage and finally to optimize business processes continuously. Today, Information Technology is a enabler to improve such processes. Learning objectives in a course on BPM should be rather practice oriented in the area of business management, information systems development and team-working, because in enterprises typically people from different departments with different competences have to work together in BPM-projects. We have developed a course that itself follows the paradigm of continuous process improvement and apply case-based reasoning as a mean for improving the projects of participating students. In the course, students develop in teams of five a business process application. Three major steps are the modeling of a process (the design), deployment of the process in a workflow management system (the implementation) and testing by other students (the monitoring). Each team can freely choose an application domain with a business process and key performance indicators, a modeling tool and a workflow engine. Competences of students, decisions during the project and issues occurring in the different phases are documented in a content management system with sophisticated rights management enabling students to learn also from experiences from other teams. Case-based reasoning is applied to share experience between different projects, by indicating similar projects.
At present, English has become a universal language. It may not be the most spoken language in the world, but it is the official language in a large number of countries. Proficiency in English both spoken and written has become a basic and a crucial requirement to get a decent white collar job and also to pursue higher studies or career development. Therefore, passing O/L with a good grade for English has become critical. But due to the busy life styles of students, teachers as well as parents, do not see this as a major problem and pay less attention to English compared to the other subjects. Since there is a limited time available for each subject at school, teachers might not be paying their full attention to the students who need teachers’ help. Sometimes parents also feel it is difficult to attend to the parents meetings and they might not know the actual grades of their children until the final results are given. This research provides a solution to the above problems by developing an automated system called “English Buddy” which will mark student’s structure based answers in English and help the students to learn and evaluate their knowledge alone. This web solution will be useful for teachers to upload material and check progress of the students and for students to learn and practice exercises and get feedback. It’ll be helpful for parents to be alert and follow the progress of their children. The systems is mainly build using techniques in Natural Language Processing and checked for accuracy with manual marking.
Software engineering research is intended to help improve the practice of software development and the quality of the software product. Software quality is one of the critical components in the entire software development process. It is even crucial in assessing the quality of the undergraduate projects. Available software metrics and the tools are mainly focusing on the enterprise level software. Therefore, such tools do not provide means to assess the undergraduate projects critically. This project will concentrate on developing algorithms and introduce a set of metrics that are accurate to evaluate the quality of undergraduate projects. The algorithms and the applications are not only limited to assess the projects. It is modifiable and expandable to evaluate students' assignments submitted by using high-level programming languages such as Java and C++.
We present the development of a mobile app that collects responses from mental health patients, using an outcome questionnaire as a feedback mechanism about their mental conditions and progresses. The responses to the questionnaires are gathered using a mobile phone and stored and analyzed in a cloud-based system. Data analytics on the cloud enables clinicians to monitor the progress of patients, to evaluate the effectiveness of treatment and to make decisions about the patients. In this paper, we will explain our research results on suitable outcome questionnaire, will elaborate on the development of the mobile app for clinicians and patients, and will discuss the data analytics methods. We have collected data on a sample of patients to evaluate the effectiveness of our mobile feedback system.
This paper describes a novel initiative of the Computing and Information Systems (CIS) Dept in conjunction with the Law Dept at the University of Greenwich. Postgraduate CIS computer forensics students, as part of their assessment, present their findings from a forensics investigation in front of a lecturer and up to five law students in a simulated expert witness testimony scenario. The law students are permitted to ask questions of the computer forensics students and eventually to give their assessment of the student’s witness evidence and presentation. This approach was devised to encompass several pertinent pedagogic issues. Firstly, it is cross-disciplinary, combining as it does, input from two very different departments – an initiative that brings together not only students but also staff who would not otherwise meet. Secondly, it involves the use of practical social/professional skills for both sets of students, as the computer forensics students must present their findings with the skills required of an expert witness in a court setting whilst the law students must act as cross-examining counsel. Thirdly, this exercise involves the law students assessing the performance of the computer forensics students – an application of peer-assessment that heightens the involvement of both sets of students. Lastly, both sets of students are themselves graded, the computer students by their own forensics lecturer and the law students by their own law lecturer, according to their performance in this exercise. The findings from questionnaires sent out to both computer and law students were extremely positive. Both sets felt that they had benefitted from the exercise and that it would aid their further studies and professional development in their respective areas. It is the opinion of the C-SAFE forensics-law collaborative team that this approach represents an educational innovation in its use of cross-disciplinary problem-solving and peer-assessment in a growing and increasingly significant domain worldwide (cyber forensics) .
This paper presents an innovative approach to teaching the discipline ‘Financial calculations‘, which based on a dynamic block of case studies generated by information received online from the stock market. The method is described by the case studies ‘Evaluation of financial assets, the expected return and volatility‘, 'Delta-hedging' and 'Investments in derivative financial instruments.' Details show how well-known classic models work in practice and how exactly the adjustment of the results was made. Adequacy of conclusions obtained with this approach is easily testable (a system with an open content), that is, from the authors, an additional advantage of the proposed model of learning.
Practical programming assignments are the most standard way for students to practise their programming skills. A problem arises from the correctness verification of these assignments, as professors need to either create unit– tests covering all edge cases or rely on Teaching Assistants manually reviewing and testing the code. In this paper we cover the motivations, final result and evaluation of the creation of new automatic assessment open-source modular tool called SEAT (Scaffolding Exercise Automation Tool). The system helps students by providing an IDE extension that verifies their code using randomized based testing against a model answer. In addition, SEAT collects students’ progress and makes it accessible to professors via a website, allowing them to learn about their students’ strengths and weaknesses. All without the need for educators to create test cases and providing a modern graphical UI to students for them to read, code and test their programming assignments. SEAT aims to reduce the effort being poured by universities into developing similar tools by serving as a boilerplate or system concept, with the ultimate goal of improving computer science education.
This paper aims to provide an overview of Augmented Reality and User Experience for users located in Edinburgh (United Kingdom) in order to discuss the influence of Augmented technologies on the experience of the users. This will be conducted by a literature review researching the blended spaces experiences, Augmented Reality technologies and the effects of a tourist’s experience. The paper will also discuss related topics such as presence in a virtual world, usability, attractiveness, and accessibility and state those research around an example for a new application in Edinburgh. The research will focus mainly on the influence of Augmented Reality technologies and conclude by various methods that can be used for this type of application.
when offering modules on information security. However, the paper also discusses the threat of offering security modules on keylogging and sniffing attacks to K-12 students, proposes steps to minimize the risk of inappropriate behavior and reduce institutional liability.
There are many online distance courses offering a wide range of graduate computing degrees, and many of these are from very prestigious universities world-wide. What makes this program both special and exciting is to provide the student a cutting-edge Masters’ Degree program coupled with contemporary open badging to support a professional Masters’ degree. This paper outlines a draft Masters’ Degree program in Computing in partnership with the IBM open badging system. While the time constraint on paper submission has not allowed for a formal matriculation of technologies or memoranda of agreements, the proposal represents an innovative approach to a practical Masters’ Degree with IBM’s Open Badging System. The authors are hopeful that a partnership is in the offing and may become formalized in the near term.
The Software Engineering Institute (SEI) Carnegie Mellon University developed the Personal Software Process (PSP) as a training strategy to improve the discipline of software engineers but its greatest drawback is writing numerous reports for every weekly programming assignment. This drawback accounts for a huge time overhead spent on the postmortem part of the training. In the School of Computer Science & Engineering, CSUSB, we have experimented on a Modified PSP (mPSP) that has only six major forms and uses UML diagrams in the software design and analysis part of the training. The mPSP was incrementally developed from four consecutive classes of software engineering: Winter 2014, Winter 2015, Spring 2015, and Winter 2016. The latest version of mPSP resulted in more acceptance by the students and improving the student’s software engineering skills.
Recommendation system has become an important application in the web that provides suggestions for the contents automatically based on individual user. Web has huge,vast,diverse and dynamic collection of data. Therefore web mining is the application of data mining techniques to use to get the knowledge out from massive volume of data in web. Nowadays e-Learning is a popular and interactive social aspect of the Web. Many studies have been done regarding to web mining in e-Learning. Those focus on e-learner's profiles and contents most of the occasion. This research tries to use web mining techniques in e-Learning environment to give recommendations to the e-Learners based on their navigation behaviors, web contents, performances and profiles. That means a personalized course contents that are delivered to e-Learners. The course instructors prepare the web contents in different format and those contents are published through the web site and they can identify e-learner's navigation pattern and They can change the site topology in adaptive manner and add relevant useful contents. In this system, web content mining and web usage mining are used for searching resources and discovering of elearner's navigation patterns. Then collaborative filtering and content filtering are used to make personalized recommendations.
Learning is a necessity to keep the brains developing and wide their range of thinking. From this point, the idea of visual thesaurus website was coming. It is a website that allow registered people to search a word to find its meaning in different forms like noun, verb, adjective and adverb. This paper will contain an explanation of this website. Hope you will like the idea of it.
Nowadays, websites that teach languages is very popular, but there aren't many websites for the Arabic language. For this reason, we did our project. Our website is a WEB-based system, specifically designed to learn Arabic language alphabets, numbers, spelling and grammar. It is unique in that, it is an advanced learning technology that uses voice comparison technique with Arabic to teach the correct pronouncing and multimedia with interfaces that are interesting and convenient to use, to facilitate learning.
Visual Thesaurus website is designed to help those people who want to search for related words and synonyms and use those words in their searching papers. It aims to work as a dictionary by arranging the words into the most important parts of speech (Noun, Verb, Adjective, and Adverb). Mach the word with its proper part and display it in a perfect way as a tree chart. In this paper, you can see how the things It works.
Skipping Class is a common memory of everyones school life. Teaching a class is the same as selling a cosumer product. The perception of attending an unwelcome mandatory class is like forcing a consumer to buy an unsatisfying, non returnable product. Thus, this generates the "Skipping Class" behavior.
Individuals with special needs require access to computers with design that is catered to their needs. In this paper, we introduce an interactive prototype system that is suitable for helping individuals with special needs complete simple everyday tasks. In particular, we focus on the elderly. The system includes different kinds of assistive aids such as voiceactivated commands, augmentative and alternative communication feature, images, audio, and video. As part of our field trial, we visited residents at three senior retirement communities. Results of these experiments are discussed in this paper. We also contacted several organizations that assists individuals with autism spectrum disorder. Based on our meetings with these organizations, issues discovered during our discussion are explained and suggested improvements are elaborated.
Testing is a relatively new profession in common IT job market. Managers are aware that testing is a formal, systematic process based on mathematical background. Observing market one can find that the requirements for tester position are different than the requirements for developers and other members of technical staff. Also one can find that testers’ needs differ a little from the needs of typical IT people. In this paper we would like to present from one hand what are market’s needs, from the other – how future testers are taught in universities all over the world, but with special attention on education methods in Poland.
One of the problems in the development of mathematical theory of the genetic code (summary is presented in [1], the detailed -to [2]) is the problem of the calculation of the genetic code. Similar problems in the world is unknown and could be delivered only in the 21st century. One approach to solving this problem is devoted to this work. For the first time provides a detailed description of the method of calculation of the genetic code, the idea of which was first published earlier [3]), and the choice of one of the most important sets for the calculation was based on an article [4]. Such a set of amino acid corresponds to a complete set of the plurality of overlapping triple gene belonging to the same DNA strand. A separate issue was the initial point, triggering an iterative search process all codes submitted by the initial data. Mathematical analysis has shown that the said set contains some ambiguities, which have been founded because of our proposed compressed of the set. As a result, the developed method of calculation was limited to the two main stages of research, where the first stage only the of the area were used in the calculations. The proposed approach will significantly reduce the amount of computations at each ste.o. in this complex discrete structure.
Data mining is a process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Neural networks are a method for data mining and are popular biologically-inspired intelligent methodologies, whose classification, prediction, and pattern recognition capabilities have been utilized successfully in many areas. They can be applied to diverse discipline fields as exercise and sport science to assist researchers find patterns that may identify differences between sports groups, genders and different ability levels in different sports. He research aim was to apply neural network methods defined as multilayer perceptron (MLP) and radial basis function (RBF) were applied to a large data base from the 2010 7th Pan Pacific Masters Games to evaluate what items and factors can differentiate participant motivation between male and female masters athletes and the accuracy of these methods. Results indicated both neural network approaches produced similar solutions using the same data set, however as the methods are self-learning they can derive different solutions when implemented consecutively. The methods were more effective in classifying female athletes correctly and associated with factors of completion and affiliation factors. The classification of male athletes based on MLP and RBF were not as effective. Opportunities exist in exercise and sports science for these data mining methods to be applied extensively, especially in the area of talent identification modelling.
A multi-stage methodology was used to assess the outcome of the infusion of the modules into both courses. First there was data analysis based on in-class surveys, secondly the assessment of the students’ assignments based on the modules, and third in-class observation from an education evaluator. Paired t-test analysis was used to compare the indicator means before and after module infusion.
A core challenge in introductory programming courses during the freshmen year is getting students to understand how a static textual representation (source code) maps to a highly dynamic process (program execution). The program execution is typically illustrated using graphical PowerPoint lecture slides, which require a great deal of preparation effort, or by drawing diagrams on a whiteboard, which is tedious and error prone. Meanwhile, the real power of the web for learning—interactivity—has barely been tapped in our classes. New kinds of integrated web-based interactive book (eBook) can provide a single interface and structure for a wide variety of instructional materials and interactive tools, so students can learn by doing and go beyond the limitations of a traditional textbook. There are also a large body of evidence supporting the idea that most students nowadays are visual learners who learn programming concept better through web-based visual and interactive learning instead of traditional black board lecturing styles. This paper presents our initial experience with positive learning outcomes in teaching an introductory programming course in Python by using an interactive eBook along with active and collaborative learning. This study explores how students used the dynamic and novel features of the book based on qualitative data from formative assessment and summative data about the experience in classes based on student’s feedback and evaluation, and correlated that use with performance on different learning measures. We found that there are statistically significant positive correlations in between uses of this book and performances of students in tests. The initial evaluation and data analysis enables us to conclude that the proposed techniques increase student engagement, facilitate learning, and contribute to the progress of students in this course.
Data comes from daily life from various devices and credit cards and internet and computers; from the infrastructure or from sensor-equipped buildings, trains, buses, planes, bridges, and factories. The data being collected is at such a rate that the total accumulation of the past two years is now a zettabyte. This big volume of data is called as big data. BIG DATA usually gets alot of importance in various industries over many years and in various fields on a particular measurement that has generated lots of data every day. Big Data is a term applied to data sets of very large size such that the traditional databases are unable to process their operations in a reasonable amount of time. It has tremendous potential to transform business and power in several ways. Here we not only deal with the problem of storing the data, but also accessing and analyzing the required data in specified amount of time. Now out of these the most popular implementation to solve the above challenges of big data is using Hadoop. Hadoop is an open source and vast implementation of the specif kind of map reduce programming model for processing big data in parallel of data-intensive jobs on clusters of commodity servers. It is highly scalable compute platform. Hadoop also enables users to store and process bulk amount which is not possible while using less scalable techniques. Twitter, one of the largest social media site usually receives tweets in a very huge amount every day in the range of Zettabyte per year. This massive amount of raw data can be used for industrial or business purpose by organizing according to our requirement and processing. This research paper almost provides a way of analyzing of big and a huge data such as twitter data using Apache Hadoop which will process and analyse the tweets on a Hadoop clusters. This may includes visualizing the results into a pictorial representations of twitter users and their tweets. Keywords - BigData , Hadoop, MapReduce , Twitter Data comes from daily life from various devices and credit cards and internet and computers; from the infrastructure or from sensor-equipped buildings, trains, buses, planes, bridges, and factories. The data being collected is at such a rate that the total accumulation of the past two years is now a zettabyte. This big volume of data is called as big data. BIG DATA usually gets alot of importance in various industries over many years and in various fields on a particular measurement that has generated lots of data every day. Big Data is a term applied to data sets of very large size such that the traditional databases are unable to process their operations in a reasonable amount of time. It has tremendous potential to transform business and power in several ways. Here we not only deal with the problem of storing the data, but also accessing and analyzing the required data in specified amount of time. Now out of these the most popular implementation to solve the above challenges of big data is using Hadoop. Hadoop is an open source and vast implementation of the specif kind of map reduce programming model for processing big data in parallel of data-intensive jobs on clusters of commodity servers. It is highly scalable compute platform. Hadoop also enables users to store and process bulk amount which is not possible while using less scalable techniques. Twitter, one of the largest social media site usually receives tweets in a very huge amount every day in the range of Zettabyte per year. This massive amount of raw data can be used for industrial or business purpose by organizing according to our requirement and processing. This research paper almost provides a way of analyzing of big and a huge data such as twitter data using Apache Hadoop which will process and analyse the tweets on a Hadoop clusters. This may includes visualizing the results into a pictorial representations of twitter users and their tweets. Keywords - BigData , Hadoop, MapReduce , Twitter
Testing is a relatively new profession in common IT job market. Managers are aware that testing is a formal, systematic process based on mathematical background. Observing market one can find that the requirements for tester position are different than the requirements for developers and other members of technical staff. Also one can find that testers’ needs differ a little from the needs of typical IT people. In this paper, we would like to present from one hand what are market’s needs, from the other – how future testers are taught in universities all over the world, but with special attention on education methods in Poland. Keywords: software testing, education
The article deals with improving the efficiency of information perception by the human brain. It contains the information, connected with the possible shift of the same type of information on cone Dale, the reasons of efficiency increase of perception of information while presenting it in tabular form and embodiments of tabular forms. Provides information on converting data in tabular form and automate these actions using Microsoft Word tools. Given a technical analysis of why English Club TV language learning system is so effectual.
Cloud Computing provides global, convenient, on-demand network access to a shared pool of advanced configurable computing resources that can be provided with fewer manual efforts, greater access to computing resources around the world, and faster accessibility than those of traditional computing resources. In this paper, we identify security loopholes in cloud-based software applications that are used on a daily basis. Increasing usage of cloud computing services has increased the risk of vulnerabilities in the Cloud.
Increasingly students spend a considerable amount of time online. Technological advances over the last few years has meant dramatic increases in the use of various technologies such as personal mobile devices, agent-based technologies, and advances in pervasive/ubiquitous computing. Social networking has led to enormous changes in the way students use the same technologies for both academic work and for personal use. Even a few years ago it would have been difficult to predict just how much of an impact smartphones would have on providing constant access to the Web, to tools such as Facebook, Twitter, Skype, Instagram and many hundreds of specialized apps, as well as facilities such as Cameras, GPS tracking, sensors etc. The smartphone is now a powerful personal computing device providing access to interactive services wherever you happen to be and the device of choice for many students.

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