Iraqi Journal for Computers and Informatics

Wireless sensor network WSN consists of small sensor nodes with limited resources, which are sensing, gathering and transmitting data to base station. Sensors of various types are deployed ubiquitously and widely in varied environments for instance, wildlife reserves, battlefields, mobile networks and office building. Sensor nodes are having restricted and non replenishable power resources and this is regarded as one of the main of their critical limits. All applied techniques and protocols on sensor nodes must take into consideration their power limitation. Data aggregation techniques are used by sensor nodes in order to minimize the power consumption by organizing the communication among sensor nodes and eliminating the redundant of sensed data. This paper proposed lightweight modification on data aggregation technique named Energy Aware Distributed Aggregation Tree EADAT. The main principle of this development is using the available information in sensor nodes to pass the role of parent node among sensor nodes in each cluster. The process of passing parent node role is based on nominating the sensor nodes which have higher power on regular bases. A model based on tree network architecture is designed for validation purpose and is used with NS2 simulator to test the proposed development. EADAT and EADAT with proposed development are applied on the designed model and the results were promising.

The evolution of technology has increased the rate of traffic accidents that occurs frequently causing loss of life and property. Therefore, the automatic traffic monitoring system gradually attracted the attention of researchers in improving traffic safety through the field of intelligent transport systems. In this paper, a cost-effective approach based on GSM system for automatic traffic incident detection is proposed. This paper provides an optimal solution to reduce the death rate by using the vibration sensor and GSM system; the implementation system is based on hardware (circuits) and software to build a graphical user interface (GUI) using LabView TM to process the data. Sensors are installed into the vehicles on each side of the vehicle. An SMS will be sent to the user after the accident. This system will assist in search and rescue vehicle involved in the accident.

Information Retrieval (IR) is a field of computer science that deals with storing, searching, and retrieving documents that satisfy the user need. The modern standard Arabic language is rich in multiple meanings (senses) for many words and this is substantially due to lack of diacritical marks. The task for finding appropriate meanings is a key demand in most of the Arabic IR applications. Actually, the successful system should not be interested only in the retrieval quality and oblivious to the system efficiency. Thus, this paper contributes to improve the system effectiveness by finding appropriate stemming methodology, word sense disambiguation, and query expansion for addressing the retrieval quality of AIR. Also, it contributes to improve the system efficiency through using a powerful metaheuristic search called Harmony Search (HS) algorithm inspired from the musical improvisation processes. The performance of the proposed system outperforms the one in the traditional system in a rate of 19.5% while reduces the latency in an approximate rate of 0.077 second for each query.

We presented in the paper a new tactic, the first thing we have done is extracting the points of descriptor, which it is used in pattern recognition, especially in detection of corner algorithm. Scales of samples (images), each image is tuned by a factor (scale), collect the corners, and collect the points of descriptor key in these collected corners, in other words; Hough Transform uses the collected descriptors for classification process, and classifies each points of image to its equivalence class. Experimentally, by using MATLAB, we are shown high accuracy of recognition result on the selected samples of objects.

This paper presents a design of a Proportional-Integral-Derivative (PID) controller for automobile cruise control system. The parameters of the PID controller, which are the proportional, derivative, and integrator, have been selected using Particle Swarm Optimization (PSO) algorithm. In this study, the overall system performance has been compared with other predesigned controllers (conventional PID, Fuzzy logic PID, state space, and Genetic algorithm based PID controller). The simulation result illustrates that PSO based PID controller gives the best response in terms of settling time, rise time, peak time, and maximum overshot. The robustness analysis shows that the system is robust despite the deviations in some of the system parameters.

This century has a progressive evolution in IT. New techniques gadgets and tools are being invented every day. This Leeds to consume energy and resources. The planet need a friendly environment in which consuming resources is balanced and temperature is decreased. So; one of the most important responsibilities of human is providing green industry in order to get a purity environment This paper is a review of a few vital writings identified with the field of green processing that underscores the vitality of green registering for reasonable improvement.