Investigating the Effects of Trees and Butterfly Barriers on the Performance of Optimistic GVT Algorithm

The final publication is available at www.springerlink.comThere is two approaches for handling timing constraints in a heterogeneous network; conservatives and optimistic algorithms. In optimistic algorithms, time constraints are allowed to be violated with the help of a time wrap algorithm. Global Virtue Time (GVT) is a necessary mechanism for implementing time wrap algorithm. Mattern [2] has introduced an algorithm for GVT based computation using a ring structure. which showed high latency. The performance of this optimistic algorithm is optimal since it gives accurate GVT approximation. However, this accurate GVT approximation comes at the expense of high GVT latency. Since this resultant GVT latency is not only high but may vary, the multiple processors involve in communication remain idle during that period of time. Consequently, the overall throughput of a parallel and distributed simulation system degrades significantly In this paper, we discuss the potential use of trees and (or) butterflies structures instead of the ring structure. We present our analysis to show the effect of these new mechanisms on the latency of the system.http://link.springer.com/chapter/10.1007%2F978-90-481-3660-5_7

Optimization and Job Scheduling in Heterogeneous Networks

The final publication is available at www.springerlink.comA heterogeneous network is a connected network of different platforms and operating systems. Job scheduling is a problem of selecting a free resource for unexecuted task from a pool of submitted tasks. Furthermore, it is required to find for every resource the best order of the tasks assigned to it. The purpose of this paper is to develop an efficient algorithm for job scheduling in heterogeneous networks. The algorithm should include parameters such as properties of resources and properties of jobs. The algorithm includes a cost function that is required to be optimized which includes parameters such as the total processing time, average waiting time. Our results demonstrate that the proposed algoritghm can be efficiently used to determine the performance of different job scheduling algorithms under different sets of loads.http://link.springer.com/chapter/10.1007%2F978-90-481-3662-9_4

A New Model of the Lifetime of Wireless Sensor Networks in Sea Water Communications

In this paper we present a new model for the lifetime of wireless sensor networks used for sea water communications. The new model for power communications takes into consideration parameters such as power consumption for the active mode, power consumption for the sleep mode, power consumption for the transient mode, transmission period, transient mode duration, sleep mode duration, and active mode duration. The power communications model is incorporated in the life time model of wireless sensor networks. The life time model takes into consideration several parameters such as the total number of sensors, network size, percentage of sink nodes, location of sensors, the mobility of sensors, power consumption when nodes move and the power consumption of communications. The new model for power consumption in communications shows more accurate results about the lifetime of the sensor network in comparison with previously published results

A Multiple Retinal Normal and Abnormal Anatomical Structures Segmentation Using Hybrid Morphological and Fuzzy Local Adaptive Thresholding

Eye exam can be as efficacious as physical one in determining health concerns. Retina screening can be the very first clue to detecting a variety of hidden health issues including pre-diabetes and diabetes. Through the process of clinical diagnosis and prognosis; ophthalmologists rely heavily on the binary segmented version of retina fundus image; where the accuracy of segmented vessels, optic disc and abnormal lesions extremely affects the diagnosis accuracy which in turn affect the subsequent clinical treatment steps. This paper proposes an automated retinal fundus image segmentation system composed of three segmentation subsystems follow same core segmentation algorithm. Despite of broad difference in features and characteristics; retinal vessels, optic disc and exudate lesions are extracted by each subsystem without the need for texture analysis or synthesis. For sake of compact diagnosis and complete clinical insight, our proposed system can detect these anatomical structures in one session with high accuracy even in pathological retina images. The proposed system uses a robust hybrid segmentation algorithm combines adaptive fuzzy thresholding and mathematical morphology. The proposed system is validated using four benchmark datasets: DRIVE and STARE (vessels), DRISHTI-GS (optic disc), and DIARETDB1 (exudates lesions). Competitive segmentation performance is achieved, outperforming up-to-date systems and demonstrating the capacity to deal with other heterogenous anatomical structures

A New Mechanism to Solve IEEE 802.16 Authentication Vulnerabilities

© ASEE 2008Wi-Max (Worldwide) Interoperability for Microwave Access is a new technology that can provide broadband access at a high bandwidth. The availability of microwaves towers provides a very cost effective for delivering high bandwidth in metropolitan. Wi-Max is a multi-hop network where security is a major issue in designing such networks. Designing a secure Wi-Max is a major research challenge that has been approached in recent publications. In this paper we are discussing security changes of Wi-Max and suggesting a new authentication protocol

CMOS Image Sensors in Surveillance System Applications

Recent technology advances in CMOS image sensors (CIS) enable their utilization in the most demanding of surveillance fields, especially visual surveillance and intrusion detection in intelligent surveillance systems, aerial surveillance in war zones, Earth environmental surveillance by satellites in space monitoring, agricultural monitoring using wireless sensor networks and internet of things and driver assistance in automotive fields. This paper presents an overview of CMOS image sensor-based surveillance applications over the last decade by tabulating the design characteristics related to image quality such as resolution, frame rate, dynamic range, signal-to-noise ratio, and also processing technology. Different models of CMOS image sensors used in all applications have been surveyed and tabulated for every year and application.https://doi.org/10.3390/s2102048

Pose Variance, Illuminations and Occlusions involved Driver Emotion Detection System

Monitoring the emotions of drivers are the key aspects while designing the advanced driver assistance systems (ADAS) in vehicles. To ensure the safety and track the possibility of the accidents, the emotion monitoring will play a key role in justifying the mental status of the driver. Recent developments in face expression recognition have brought the tremendous attention across the world due to its intellectual capabilities to track the facial expressions. Machine learning and deep learning technologies have helped a lot in developing an efficient face expression recognition systems. Two novel approaches using machine learning, deep learning algorithms and residual neural networks are proposed to monitor six class of expressions of the driver in different pose variations and occlusions. We obtained the better accuracies with these two novel approaches when compared to the state of art methods

A New Comprehensive Model for the Lifetime of Wireless Sensor Networks in Different Environments

This thesis is being archived as a Digitized Shelf Copy for campus access to current students and staff only. We currently cannot provide this open access without the author's permission. If you are the author of this work and desire to provide it open access or wish access removed, please contact the Wahlstrom Library to discuss permission.In this dissertation a new comprehensive model for the lifetime of Wireless Sensor Networks (WSNs) in different environments is presented. The model takes into consideration several parameters such as the total number of sensors, network size, percentage of sink nodes, location of sensors, the mobility of sensors, and power consumption. Furthermore, the model considers the power consumed in the electronic circuitry, the data size, the probability of transmission or receiving of data, and the distance of transmission. A number of wireless sensor networks scenarios are presented and discussed. In order to examine the validity of the model, it is tested for many scenarios. Furthermore, it is validated against the simulations results of Micaz sensors. In this dissertation, several scenarios in the air, water, and soil are presented. In each scenario, the total power in the network, number of dead sensors, total number of alive sensors, and number of dead sinks nodes over the lifetime of the WSN are evaluated. The new model addresses the following issues: (1) study the effect of communications on the lifetime of Wireless Sensor networks, (2) present an advanced model of power consumed in communications and its effect on the lifetime of Wireless Sensor Networks, (3) develop a new model for the Lifetime of Wireless Sensor Networks in both pure water and salty water communication, and (4) develop a model for the lifetime of the wireless sensor network communications in different types of soil including, sandy, loamy and magnetite soil. The results obtained from the model are accurate compared to the results of the Micaz simulation. The results presented in this model show its importance from the designer perspective. The model can be used as a design tool as well as a research tool to evaluate the performance of the wireless sensor networks