Abstract The greenhouse gas effect has become a major preoccupation worldwide. Heating of buildings and houses is one of the major sources of this effect. We propose to optimize heating control systems by directly integrating the recognition of people’s activities and context in the process of temperature regulation. We introduce the concept of kinetic-awareness as a way of making a heating... The greenhouse gas effect has become a major preoccupation worldwide. Heating of buildings and houses is one of the major sources of this effect. We propose to optimize heating control systems by directly integrating the recognition of people’s activities and context in the process of temperature regulation. We introduce the concept of kinetic-awareness as a way of making a heating control system aware of a user’s mo- tion in physical space in order to adjust temperature according to their current activities. Read More Read Less

Abstract One of the key stages of the development of a fault tolerant Service Oriented Architecture is the creation of Diagnosers, which monitors the system’s behavior to identify the occurrence of failure. This paper presents a Model Driven Development (MDD) approach to the automated creation of the Diagnosing Services and integrating them into the system. The outline of the method is... One of the key stages of the development of a fault tolerant Service Oriented Architecture is the creation of Diagnosers, which monitors the system’s behavior to identify the occurrence of failure. This paper presents a Model Driven Development (MDD) approach to the automated creation of the Diagnosing Services and integrating them into the system. The outline of the method is as follows. BPEL models of the services are transformed to Deterministic Automaton with Unobservable Event representations using the MDD transformations. Then, relying on Discrete Event System techniques Diagnosers Automaton for the Deterministic Automaton representations are created automatically. Finally, the Diagnosers Automaton is transformed into a new BPEL representation, which is inte- grated into the original architecture. The proposed approach is implemented as an Oracle JDevlopers plugin. To evaluate the presented method, a case study involving a Right-First-Time failure scenario motivated by telecom application is used. Read More Read Less

Abstract A new distributed computing architecture, Dynamic Virtual Private Network (DVPN), is introduced. The DVM (Dynamic VPN Manager) works as the Autonomous System (AS) administrator in the DVPN system to perform resource scheduling and liaise with the underlying connection management. The approach combines on-demand reservation of both the communications infrastructure and various higher- level processing facilities. This enables support of orchestrated... A new distributed computing architecture, Dynamic Virtual Private Network (DVPN), is introduced. The DVM (Dynamic VPN Manager) works as the Autonomous System (AS) administrator in the DVPN system to perform resource scheduling and liaise with the underlying connection management. The approach combines on-demand reservation of both the communications infrastructure and various higher- level processing facilities. This enables support of orchestrated computing where a complex job can be considered to be a VPN community. This job may be decomposed into tasks to be located at various distributed processing sites. Data can flow between them rather like a production line, in order to deliver the finished “product” to chosen end hosts. Two variants of a resource-scheduling algorithm are proposed for job schedul- ing in the DVPN system. Genetic Algorithm (GA) and Particle Swarm Optimisation (PSO) mechanisms are considered for use within the optimization process. Simulation results show that both approaches are feasible. The authors then compare the performance of GA against PSO in this dynamic VPN environment to compare their suitability. Read More Read Less

Abstract Energy conservation is a critical issue in wireless mul tihop ad-hoc networks, which have nodes powered by batteries only. One major metric for energy conservation is that all nodes participate in relaying requests which may be opposite to its interest but can be a solution for extending the network lifetime. We proposed a distributed algorithm which gurabtuees a cooperation between... Energy conservation is a critical issue in wireless mul tihop ad-hoc networks, which have nodes powered by batteries only. One major metric for energy conservation is that all nodes participate in relaying requests which may be opposite to its interest but can be a solution for extending the network lifetime. We proposed a distributed algorithm which gurabtuees a cooperation between the nodes in func tion of their energy provision. We focus in this paper on the exploitation of nodes mobility. Experiments results show the impact of nodes mobility on the behavior of our proposed algorithm. Read More Read Less

Abstract In this paper, an image copyright protection scheme was proposed which will not involve watermark embedment in the host image. The proposed scheme is suitable for protecting precious image work where the host image should not be altered. Multiple copies of unruly black and white binary images were created by the XORed entwinement with the binary copyright logo (i.e., the... In this paper, an image copyright protection scheme was proposed which will not involve watermark embedment in the host image. The proposed scheme is suitable for protecting precious image work where the host image should not be altered. Multiple copies of unruly black and white binary images were created by the XORed entwinement with the binary copyright logo (i.e., the watermark) and the binary character- istic extraction of host image’s DCT-coefficients. The multiple copies of unruly binary images were then time-stamped with a digital signature and registered with a certified authority for protecting the rightful ownership. A giveup-table was employed to contain possible attacked host image locations and a simple table look-up operation was applied to select better candidates from the multiple copies of unruly binary images for recovering the watermark. Experimental testing will be conducted on attacks such as blurring, rescale, cropping, sharpening, noise, rotation, and JPEG lossy compression. Results showed that the watermark for proof of rightful ownership can be recovered at a high NC > 0.95 and is visually undistorted. Read More Read Less

Abstract This work introduces an approach for identifying duplicated bug reports that combines document indexing and Self-organizing Maps (SOM). The approach consists of a sequence of three processing modules: Preprocessing, Clustering, and Retrieval. The fi rst module produces feature vectors used as description of bug reports. These feature vectors are the input for the second module, clustering, which uses a Selforganizing... This work introduces an approach for identifying duplicated bug reports that combines document indexing and Self-organizing Maps (SOM). The approach consists of a sequence of three processing modules: Preprocessing, Clustering, and Retrieval. The fi rst module produces feature vectors used as description of bug reports. These feature vectors are the input for the second module, clustering, which uses a Selforganizing Map to cluster similar bug reports. Finally, the third module is responsible for fi nding the appropriate cluster for a given new bug report and retrieving the bug reports in that cluster. Experiments with a data base of bug reports demonstrate the usefulness of the proposed retrieval method. Read More Read Less

Abstract In this paper, we describe a model-based system for context discovery and behavior analysis of a single occupant inhabiting a smart home. To analyze behavior, we build predictive models of behavior and behavior trends employing probabilistic techniques. Using these models, atypical behavior can be distinguished from typical behavior. Deviations from the norm resulting from failure of equipment as well as... In this paper, we describe a model-based system for context discovery and behavior analysis of a single occupant inhabiting a smart home. To analyze behavior, we build predictive models of behavior and behavior trends employing probabilistic techniques. Using these models, atypical behavior can be distinguished from typical behavior. Deviations from the norm resulting from failure of equipment as well as those deviations resulting from signifi cant variations atypical of the human inhabitant or small changes in trends are detected. In the context of a smart home, both situations are important and require ether automated or human intervention. The test-bed is a home embedded with sensors that unobtrusively record a variety of environmental conditions and household appliance status. The models of behavior are produced from the sensor observations based on statistical inference. Read More Read Less

Abstract Text classifi cation is the task of assigning a document to one or more of pre-defi ned categories based on its contents. This paper presents the results of classifying Arabic text documents using a decision tree algorithm. Experiments are performed over two self collected data corpus and the results show that the suggested hybrid approach of Document Frequency Thresholding using... Text classifi cation is the task of assigning a document to one or more of pre-defi ned categories based on its contents. This paper presents the results of classifying Arabic text documents using a decision tree algorithm. Experiments are performed over two self collected data corpus and the results show that the suggested hybrid approach of Document Frequency Thresholding using an embedded information gain criterion of the decision tree algorithm is the preferable feature selection criterion. The average accuracy of using Feature selection is 0.93 for the scientifi c corpus, while for the literary corpus the average accuracy is 0.91. We also conclude that the effectiveness of the decision tree classifi er was increased as we increase the training size. Read More Read Less

Abstract Complex networks can be classifi ed in three main types: random networks, small-world networks and scale-free networks. Two approaches are tested and compared to identify and classify social networks: one is based on vertex degree and the other on cycle degree. The former approach inaccurately concludes the type of the real network whereas the later accurately identifi es the type... Complex networks can be classifi ed in three main types: random networks, small-world networks and scale-free networks. Two approaches are tested and compared to identify and classify social networks: one is based on vertex degree and the other on cycle degree. The former approach inaccurately concludes the type of the real network whereas the later accurately identifi es the type of the real network. The cycle-based approach reveals Gaussian distribution of the cycles. Cycles distributions of random, small world and scale free networks have one universal Gaussian function. The proposed equation can be used to model, identify and classify any network including social networks. Read More Read Less

Abstract Oracle 11g Data Guard provides a complete solution that meets the needs for high availability database systems that are critical to business continuity. Data Guard provides a systems architecture that minimizes both planned and unplanned downtime. This article focuses on Oracle 11g Data Guard and Active Data Guard for managing planned downtime and recovering from unplanned downtime. Improvements in high... Oracle 11g Data Guard provides a complete solution that meets the needs for high availability database systems that are critical to business continuity. Data Guard provides a systems architecture that minimizes both planned and unplanned downtime. This article focuses on Oracle 11g Data Guard and Active Data Guard for managing planned downtime and recovering from unplanned downtime. Improvements in high availability capability provided by converting from Data Guard for Oracle 10g to 11g are highlighted. The reference listing provides a concise source of detailed Oracle technical papers and other references that focus on Data Guard and related software products Read More Read Less