Network security and management in Information and Communication Technology (ICT) is the ability to maintain the integrity of a system or network, its data and its immediate environment. The various innovations and uses to which networks are being put are growing by the day and hence are becoming complex and invariably more difficult to manage by the day. Computers are found in every business such as banking, insurance, hospital, education, manufacturing, etc. The widespread use of these systems implies crime and insecurity on a global scale. In addition, the tremendous benefits brought about by Internet have also widened the scope of crime and insecurity at an alarming rate. Also, ICT has fast become a primary differentiator for institution/organization leaders as it offers effective and convenient means of interaction with each other across the globe. This upsurge in the population of organizations depending on ICT for business transaction has brought with it a growing number of security threats and attacks on poorly managed and secured networks primarily to steal personal data, particularly financial information and password.This paper therefore proposes some policies and guidelines that should be followed by network administrators in organizations to help them ensure effective network management and security of ICT facilities and data.
In this paper, an intelligent controller of the DC (Direct current) Motor drive is designed using fuzzy logic-genetic algorithms optimization. First, a controller is designed according to fuzzy rules such that the systems are fundamentally robust. To obtain the globally optimal values, parameters of the fuzzy controller are improved by genetic algorithms optimization model. Computer MATLAB work space demonstrate that the fuzzy controller associated to the genetic algorithms approach became very strong, gives a very good results and possesses good robustness.
For research and development work and for the production of small quantities of pellets for specific applications, it is important to have a low-cost apparatus or machine for making pellets. This project work discusses the local design and manufacture of a dual-mode pelleting machine. It can be powered either electrically or manually. It takes care of power failure problems, and can be used in rural settlements where electricity supply is not in existence.The laboratory-sized pelleting machine uses a worm screw for propelling the grains/mash/mineral ore through the die. The worm screw encased in the pelleting chamber is propelled by a dual mode mechanism i.e. motorized and manual. This worm screw is fed by a hopper, which is able to hold a large quantity of mash/mineral ore at a time.Many engineering machine are mostly sourced abroad, thereby reducing the development of technology in Nigeria. It is against this background that the present project is conceived making the project work significant.
A lateritic soil classified as A-6 under AASHTO soil classification system was reinforced with 0, 1, 2 and 3 bamboo specimens at laboratory trial level to evaluate its unconfined compressive strength (UCS) and modulus of rigidity. The soil specimens were molded in cylindrical form of 38mm diameter and 76mm height while the bamboo specimens were trimmed in to circular plates of 34mm diameter and 3mm thickness. The trial soil specimens are: soil specimen without bamboo specimen (0 bamboo), soil specimen with one bamboo specimen in the center (1 bamboo), soil specimen with one bamboo specimen on top and one at the bottom (2 bamboos) and soil specimen with one bamboo specimen on top, center and bottom (3 bamboos). Though, the dry density of the molded soil specimen decreased from 1.638Mg/m3 at 0 bamboo to 1.470Mg/m2 at 3 bamboos, the UCS increased from 226KN/m2 at 0 bamboo to 621KN/m2 at 3 bamboos. Also, for each of the 3 percentage strains (0.5, 1.0 and 1.5%) considered, the modulus of rigidity increased with bamboo specimens.
This paper presents a new approach for solving the combined economic and emission dispatch problem under some equality and inequality constraints. The equality constraints reflect a real power balance, and the inequality constraints reflect the limits of real generation. The voltage levels and security are assumed to be constant. The problem is solved by a Sequential Unconstrained Minimization Technique (SUMT) algorithm which was developed by Fiacco and McCormick. Combined economic emission dispatch problem is obtained by considering both the economy and emission objectives. This bi-objective problem is converted into a single objective function using a price penalty factor. In this paper SUMT method is tested on three generators system and its results are compared with the solutions obtained in . The results are quite encouraging and useful in the economic emission environment.
The origin of high energy 2P1/2 and 2P3/2 x-ray satellites of titanium, copper and Nickel dihalides has been explained using plasmon theory with a new approach by considering both extrinsic and intrinsic contribution simultaneously. Our calculation shows that satellites are due to surface plasmon excitation. We also review the existing calculations and experimental measurements.
A simplified dynamic model for the constant-force compression spring (CFCS) based on the pseudo-rigid-body model (PRBM) is presented including the basic formulations which takes care of the moment CFτ due to coulomb friction in the pin joints of the CFCS, and the moment AFτ due to axial force effects in the rigid links of the CFCS. The CFCS is a slider mechanism which consists of rigid links incorporating pin joints and a small-length flexural pivot which connects to a slider. Clearly the results with the inclusion of CFτ and AFτ to the dynamic model, shows that the static terms AFCFandττ have very great significance on the dynamic model of the CFCS.
Achieving optimum cement slurry design involves being able to simulate actual field experience in the laboratory. This work is on how mixing energy and shear rate affect the thickening time of cement slurry.Using conventional pressurized consistometer, fitted with a variable speed motor, a comparative thickening time test was obtained. This device allows for simulation of shear rate, temperature and pressure found in the well bore during pumping. The API procedure was used to evaluate the mixing energy applied to the slurry.Results obtained show that for mixing energy, the principal thing is deflocculation. Once the slurry is deflocculated, then no other effect of mixing energy is felt on the thickening time and it is not a function of the geometry of wellbore. Results also show that the temperature profile and geometry of the well from surface to bottom is an important consideration in modeling the influence of shear on how long the cement slurry will remain pumpable. Modeling along this line will lead to optimum slurry quality and design.
The formulation of game problems is one of the most important tools that is being used to solve many practical problems. For example, organisations need to make decisions about how to locate their branches in different locations for optimum profit. This paper employs the principle of game theory to provide strategies required for optimal location of two competitive organisational branching systems.
In this paper, a transient model of the faulty machine is developed. The model is referred to a three phase stator winding, while the rotor has been represented by all the meshes allowing for the representation of various faults. The model is based on coupled magnetic circuit theory by considering that the current in each bar is an independent variable. The model incorporates non-sinusoidal air-gap magneto motive force (MMF) produced by both stator and rotor, therefore it will include all the space harmonics in the machine. Simulations and experimental results were then used to study rotor faults cause-effect relationships in the stator current and the frequency signature.
The goal of any Flexible AC Transmission Systems (FACTS) devices study is to measure their impact on the state of the electrical networks into which they are introduced. Their principal function is to improve the static and dynamic properties of the electrical networks and that by increasing the margins of static and dynamic stability and to allow the power transit to the thermal limits of the lines.To study this impact, it is necessary to establish the state of the network (bus voltages and angles, powers injected and forwarded in the lines) before and after the introduction of FACTS devices. This brings to calculate the powers transit by using an iterative method such as Newton-Raphson. Undertaking a calculation without the introduction of FACTS devices followed by a calculation with the modifications induced by the integration of FACTS devices into the network, makes it possible to compare the results obtained in both cases and thus assess the interest of the use of devices FACTS.
This paper presents the design of a clap activated switch device that will serve well in different phono-controlled applications, providing inexpensive key and at the same time flee from false triggering.This involves the design of various sages consisting of the pickup transducer, low frequency, audio low power and low noise amplifier, timer, bistable and switches. It also consists of special network components to prevent false triggering and ensure desired performance objectives. A decade counter IC serves the bistable function instead of flip-flop, special transistor and edge triggering network for low audio frequency.
As Model Predictive Control (MPC) relies on the predictive Control using a multilayer feed forward network as the plants linear model is presented. In using Newton-Raphson as the optimization algorithm, the number of iterations needed for convergence is significantly reduced from other techniques. This paper presents a detailed derivation of the Generalized Predictive Control and Neural Generalized Predictive Control with Newton-Raphson as minimization algorithm. Taking three separate systems, performances of the system has been tested. Simulation results show the effect of neural network on Generalized Predictive Control. The performance comparison of this three system configurations has been given in terms of ISE and IAE.
The purpose of this paper was to propose a modification that would lead to a much improved approximation technique for the computation of the numerical solutions of initial value problems, particularly the autonomous type. The method that has been improved upon is our Improved Modified Euler method. By the simple modification effected, a much better performance was achieved, not just for the autonomous problem, but for the non-autonomous problem as well. The new method was also shown to be of order 2.
Microsoft has made substantial enhancements to the kernel of the Microsoft Windows Vista operating system. Kernel improvements are significant because the kernel provides low-level operating system functions, including thread scheduling, interrupt and exception dispatching, multiprocessor synchronization, and a set of routines and basic objects.This paper describes some of the kernel security enhancements for 64-bit edition of Windows Vista. We also point out some weakness areas (flaws) that can be attacked by malicious leading to compromising the kernel.
The objective of this study was to demonstrate the effect of eugenol on the titanium corrosion in artificial saliva enriched with eugenol at different concentration. The corrosion behaviour and titanium surface characterization were investigated by electrochemical measurements and SEM.
This paper reports on an evolutionary algorithm based method for solving the economic load dispatch (ELD) problem. The objective is to minimize the nonlinear function, which is the total fuel cost of thermal generating units, subject to the usual constraints.The IEEE 30 bus test system was used for testing and validation purposes. The results obtained demonstrate the effectiveness of the proposed method for solving the economic load dispatch problem.
The aim of field testing of Multiphase Flow Meter (MPFM) is to show whether its accuracy compares favourably with that of the Test Separator in accurately measuring the three production phases (oil, gas and water) as well as determining meter reliability in field environment. This study evaluates field test results of the MPFM as compared to reference conventional test separators. Generally, results show that MPFM compares favourably with Test Separator within the specified range of accuracy.At the moment, there is no legislation for meter proving technique for MPFM. However, this study has developed calibration charts that can be used to correct and improve meter accuracy.
This paper presents the solution for the Thermal Generator Maintenance Scheduling Problem, using a bi-criterion Ant Colony Optimization Algorithm called Preferential Anti-pheromone (PAP). This method allows the “agents” of an ant colony to deposit a small amount of pheromone trail to every path that has been used, to construct the potential solutions, but also to give extra emphasis to the best solution found at the end of an iteration of the algorithm. In the same time that good solutions are being investigated from the agents, bad solutions are examined too, with the aim to avoid short-term poor solutions and lead to long-term good and, respectively, global best solutions. In this way, through the iterations of the algorithm, we end up to the final solutions. The algorithm is applied to a real-scale problem, and further investigation is being made so as to find the best possible solution.
Motivation. In medical field, particularly the cardiology, the diagnosis systems constitute the essential domain of research. In some applications, the traditional methods of classification present some limitations. The neuronal technique is considered as one of the promising algorithms to resolve such problem.Method. In this paper, two approaches of the Artificial Neuronal Network (ANN) technique are investigated to classify the heart beats which are Multi Layer Perception (MLP) and Radial Basis Function (RBF). A calculation algorithm of the RBF centers is proposed. For the Atria Fibrillation anomalies, an artificial neural network was used as a pattern classifier to distinguish three classes of the cardiac arrhythmias. The different classes consist of the normal beats (N), the Arrhythmia (AFA) and Tachycardia (TFA) Atria Fibrillation cases. The global and the partition classifier are performed. The arrhythmias of MIT-BIH database are analyzed. The ANN inputs are the temporal and morphological parameters deduced from the electrocardiograph.Results. The simulation results illustrate the performances of the studied versions of the neural network and give the fault detection rate of the tested data, a rate of classification reaching the 3.7%.Conclusion. This system can constitute a mesh in a chain of automated diagnosis and can be a tool for assistance for the classification of the cardiac anomalies in the services of urgencies before the arrival of a qualified personal person.