Abstract Beginner’s computer programming is a course that constitutes an important part of any Information Technology (IT) related university program. For the majority of students, this particular course either comes across as a near-impossible trial by fire or as the moderately difficult challenge it should be. We relate this dichotomy to mathematical literacy and propose that information systems students and computer... Beginner’s computer programming is a course that constitutes an important part of any Information Technology (IT) related university program. For the majority of students, this particular course either comes across as a near-impossible trial by fire or as the moderately difficult challenge it should be. We relate this dichotomy to mathematical literacy and propose that information systems students and computer science students require two diametrically opposed strategies of teaching. In this context, we present three aspects in to the field of reification through visualization: a study on the benefits of visualizing using the bubble sort algorithm, a design for introducing visualization into beginners programming courses and lastly a taxonomy for programming tools which will aid in gauging the appropriateness of each tool mapped against a particular student type. Results of the study show that visualization has a positive effect on information systems students. Read More Read Less

Abstract In this paper, we propose a method to classify Web documents by genre (not by topic) based on features of terms and HTML tags. For the classifier, we use SVM (Support Vector Machine) and Naïve Bayes. In order to improve the accuracy of classification, we calculate discriminant efficiencies of each pair of a term and a HTML tag to find... In this paper, we propose a method to classify Web documents by genre (not by topic) based on features of terms and HTML tags. For the classifier, we use SVM (Support Vector Machine) and Naïve Bayes. In order to improve the accuracy of classification, we calculate discriminant efficiencies of each pair of a term and a HTML tag to find out HTML tags which are effective for genre classification. We conducted experiments of genre classification of Japanese Web documents using the proposed method. The experimental results show that our method using discriminant efficiencies achieves 8% increase in classification accuracy. Read More Read Less

Abstract A significant security problem for networked systems is hostile trespass by users or software. Intruder is one of the most publicized threats to security. In actual fact, most of the current systems are weak at detecting novel attacks without generating false alarms. Intrusion Detection Systems (IDSs) are increasingly a key part of systems defense. Various approaches to intrusion detection are... A significant security problem for networked systems is hostile trespass by users or software. Intruder is one of the most publicized threats to security. In actual fact, most of the current systems are weak at detecting novel attacks without generating false alarms. Intrusion Detection Systems (IDSs) are increasingly a key part of systems defense. Various approaches to intrusion detection are currently being used, which are relatively ineffective. Likewise, data mining plays a driving role in data analysis. This paper addresses this issue and proposes a data mining-based intrusion detection system. The data mining techniques being investigated includes decision tree (C5.0 algorithm) and distance based clustering (Tow-steps algorithm). The proposed hybrid system combines anomaly and misuse detection. Experiments are performed on both real network data for Sudan University of Science and Technology (SUST) network, and Defense Advanced Research Projects Agency (DARPA) dataset, which is considered as the most famous available off-line intrusion detection evaluation dataset. The obtained results confirm that data mining is capable of discovering attacks with acceptable level of false alarms. Read More Read Less

Abstract This paper presents design of automated machine gun using wireless and embedded technology for defensive purpose which takes the decision on it’s own and operate itself as per requirement or as per defined by the user. Proposed system is a combination of the robotic controlled tank and remote operated machine gun. It uses the design of TRAP system. Features that... This paper presents design of automated machine gun using wireless and embedded technology for defensive purpose which takes the decision on it’s own and operate itself as per requirement or as per defined by the user. Proposed system is a combination of the robotic controlled tank and remote operated machine gun. It uses the design of TRAP system. Features that we have added in this system are 360 degree rotation of base and machine gun, laser beam, emergency torch, motion detection using sensors, Camera Based Motion Identification, LDR based Light detection, Temperature Detection (Thermostat), Controlling using voice command, Wireless Connectivity. The wireless and embedded technology is used for the design and development of this approach. This system can be very useful in ground level combat save most worthy human life. Read More Read Less