This paper presents an e-learning system that has supported a real-time voice over IP and video conferencing in campus environment. This e-learning system has been installed into a server which is running under Windows operating system. We have measure and evaluate the performance of e-learning system in the server. The e-learning server is measure on CPU utilization, RAM usage, packet transmission and bandwidth usage based on number of students access. Based on the results then we will predict the performance of e-learning server for future if number of students increase.

e-Prescription is an extra feature of ICmed system that allows you to write and send prescriptions electronically to your local pharmacies. ePrescription uses a service called e-communication itegrate in medical informatics platform that forwards prescriptions from the physician to the pharmacist. ePrescription can be set up for bi-directional communication so that pharmacists and doctors can send new prescriptions and refill requests electronically. ePrescription uses the drug database.

From the aesthetic side, emotion and devotion are the essential characteristics of Indian music. Here we take only the technical side of the music, talking about its pitch which is nothing but a function of time. In the present work, we build a structure of raga notes through ARIMA modeling and predict its nature through this model.

Ant colony optimization is an evolutionary algorithm in which ant colonies assist in locating shortest routes to food sources. One of the factors influencing the ant's behavior and performance is the pheromone evaporation. In this paper, a new approach towards pheromone evaporation mechanism in ACO through the exponential generating function is discussed. The convergence of the formula we derived with respect to the time, shows the advantages of this approach over more traditional ones given in the literature.

In this study, we propose to evaluate VoIP performance over wireless carriers network. Today, the deployment of VoIP occurs in various platform for example, VoIP over LAN, VoIP over WAN and VoIP over VPN. Therefore, this study is to define which VoIP codec selection can provide better VoIP performance over ISPs wireless network. We use softphone as our medium communication between two parties. The results show that VoIP over wireless WAN can degrade performance compare to VoIP over LAN but using the appropriate codecs selection able to increase VoIP performance over wireless WAN. In our experiment, it shows that GSM is the best codec to improve and provide better VoIP quality during conversation over wireless WAN and LAN.

The exposure of workers to hand-arm vibrations remains an important problem in the occupational health. A dynamic thermographic method, proposed for the diagnostics of changes consistent with hand-arm vibration syndrome, involves matrix calculations. The goal of this paper is to present the basics of the mathematical procedures implemented in Mathcad, to obtain the k-maps, which are used as a diagnostic tool for peripheral neurovascular changes.

We describe some possibilities of using GeoGebra software environment in mathematical education with respect to new Slovak secondary school curriculum standards. GeoGebra can help teachers to use a class more effectively, to motivate the students and to teach mathematics with understanding. We present method of generating problems, and some other motivational tools, too.

Virtual Knowledge Community (VKC) is presently the new area of research that is currently coming of age in the research community. VKC which is a virtual place where knowledge agents can meet, communicate and interact among themselves. In recent times, many research works have been done in the area of VKC but the security aspect of the system has not received any considerable attention in the research community. Therefore, this paper presents a framework to secure agents in VKC against any malicious attacks in an encrypted form of sharing knowledge. The proposed approach will go along way in addressing the security issues in VKC.

The aim of this study is to analyse survival data of the patients with acute myocardial infarction. We studied a sample of 424 patients with a mean age of 67.1±12.3 years. The overall mortality rate after 5 years was 233.4‰. The presence of late potentials in patients with associated arrhythmias, low ejection fraction or low RR variability is associated with higher mortality risk.

This paper examines an example of a set Q with a partial product that is not a presemigroup (i.e. a set with a partial product that becomes a semigroup with zero when a zero is adjoined and all undefined products are defined to be zero). Despite this shortcoming, the non-associative product has succeeded in creating an “F*-inverse” theory on Q. The group-like set of maximal elements of Q is isomorphic to the group-like set of integers.

Routing in mobile ad-hoc network is a challenging issue. Good numbers of solutions were reported in the available literature. Most of the proposed solutions can be classified into one of two types, i.e. tables driven and on-demand protocols. Ad-hoc On-Demand Distance Vector Routing (AODV) and Mobile Ad-hoc On-Demand Data Delivery Protocol (MAODDP) belong to on-demand types. Both protocols establish route on demand with the exception that MAODDP establish the route and transfer the data simultaneously one after the other. This paper presents an evaluation study of their performance against each other in a simulation environment. In total five different experiments using various mobility models were conducted. Results showed that MAODDP performed well with a higher data delivery and less memory consumption rate then AODV.

Association rule granulation is a common data mining technique used to extract knowledge from the universe. To characterize the elements of the universe and to extract knowledge about the universe we classify the elements of the universe based on indiscernibility relation. However, in many information systems we find numerical attribute values that are almost similar instead of full identical. To handle such type of information system, we use (alfa, beta)-indiscernibility due to rough set on intuitionistic fuzzy approximation space with ordering rules. So, the classification results in a set of classes called granules and are basic building blocks of the knowledge about the universe. Granular computing processes these granules and produces possible patterns and associations. In this paper we study the concept of almost indiscernibility and knowledge granulation along with the association rules using granular computing method. We process the granules obtained as the result of classification and find the association rules between them.

Access control is a major preventive measure for sensitive resources. Most access control techniques have been found to be inadequate in providing sufficient security to KMS which houses the sources of competitive advantage for many organizations today. However, current research showed that combining access control techniques can help provide better security. In this work a meta-heuristic strategy for access control technique combination that is both more effective than previous methods of combination but also more resource friendly is presented. The new method applies access control technique with human reasoning in a multilayer architecture ensuring that malicious users are prevented access and the misuse or abuse of privileges common to other methods is stemmed.

Dans cet article, nous présentons un nouvel algorithme pour réduire la dimension de vecteur d’état de fonctionnement d’un système industriel. Notre algorithme permet de sélectionner un sous-ensemble de paramètres qui offre une détection plus rapide de dysfonctionnement et une bonne qualité de classification. Cet algorithme est basé sur le comportement observé chez les fourmis réelles. Nous montrons ici que l’émergence des déplacements et les interactions des fourmis permet de trouver un ensemble réduit de paramètres qui caractérisent le fonctionnement d’un système industriel dynamique et complexe. L’algorithme offre aussi la possibilité d’utiliser des bases de données de grandes tailles. Les expériences effectuées sur les bases de données Iris et Vehicle montrent que notre algorithme fournit de très bons résultats.

Dans cet article nous proposons le système de scénarisation eMouss@ide. C’est un système basé sur le formalisme «Pléiades» proposé par Emmanuelle Villiot-Leclercq pour formaliser les scénarios d’apprentissage. Dans eMouss@ide l’enseignant spécifie pour chaque activité la stratégie d’enseignement à appliquer et les ressources pédagogiques à utiliser. Les scénarios ainsi conçus par les enseignants peuvent être suivi par les apprenants. Le système eMouss@ide met à la disposition des apprenants un moteur de recherche interne qui permet la recherche des cours en fonction de contenu à apprendre. Les stratégies d’enseignements utilisés pour décrire les activités d’apprentissage sont prises suivant la classification proposée par Lasnier.

Le présent travail propose d’adapter le style d’enseignement au style d’apprentissage dans une formation enligne. Dans le système proposé (eMouss@ide) le style d’apprentissage est basé sur le modèle MBTI (Myers Briggs Type Indicator) de l’apprenant. Le système propose des scenarios qui sont conçus suivant des stratégies d’enseignements adaptées aux styles d’apprentissage. Les stratégies d’enseignements sont prises suivant la classification proposée par Lasnier. L’approche utilisée pour la conception du système est ensuite expérimenté et les résultats obtenus sont encourageants.

Wireless technology is basically used to access internet services, multimedia applications and different IP-based communications that require strict QoS requirements. Almost all developed and underdevelopment countries are connected to internet by some means but for service providers the real problem is the access of these services in rural or suburban areas where implementation cost of traditional wired infrastructure is high. To overcome this problem like IEEE 802.16 (WiMax) is the feasible solution that covers large geographical area with high-speed access. IEEE 802.16 family of standard has provided QoS parameters and services but has not specified how these parameters are satisfied. In this paper, we have presented Quality of Service architecture for Base Station that fully utilizes the available bandwidth that is left unused or wasted. For different service classes combined approach of queuing management & bandwidth allocation algorithm is proposed.

The questions of corporate systems development based on integration of CORBA and Java technologies and tools are rated. Here is brought the comparative analysis of using the program models and integration of distributed corporate systems development technologies.

The development of computer technologies can be seen as a miracle in the modern civilization. What new reality of the IT surrounding environment have brought to us now was unthinkable several decades ago. The level of information and its flow on different communication channels, its impact on the individual are more and more difficult to quantify. A great challenge for educational systems is to create some harmonious co-existence between face book, wikis, virtual realities, virtual learning and traditional methods. The examples presented will illustrate the impact of GeoGebra software in this sense.

Distributed systems have really gained ground in several applications domains. Recently, extracting valuable knowledge from large volumes of data in distributed setting is a major concern for most organizations. There is therefore need for architectures and models for efficient mining associations and connections from such data. Many models have been produced but no one model fits all scenarios. Massive data movement, high communication costs and ultimately slow response time are some major problems with existing models. This work therefore proposes an improved cost model for mining association rules from distributed databases.