Solving Vehicle Routing Problem using Ant Colony Optimisation (ACO) Algorithm

Engineering field usually requires having the best design for an optimum performance, thus optimization plays an important part in this field. The vehicle routing problem (VRP) has been an important problem in the field of distribution and logistics since at least the early 1960s. Hence, this study was about the application of ant colony optimization (ACO) algorithm to solve vehicle routing problem (VRP). Firstly, this study constructed the model of the problem to be solved through this research. The study was then focused on the Ant Colony Optimization (ACO). The objective function of the algorithm was studied and applied to VRP. The effectiveness of the algorithm was increased with the minimization of stopping criteria. The control parameters were studied to find the best value for each control parameter. After the control parameters were identified, the evaluation of the performance of ACO on VRP was made. The good performance of the algorithm reflected on the importance of its parameters, which were number of ants (nAnt), alpha (α), beta (β) and rho (ρ). Alpha represents the relative importance of trail, beta represents the importance of visibility and rho represents the parameter governing pheromone decay. The route results of different iterations were compared and analyzed the performance of the algorithm. The best set of control parameters obtained is with 20 ants, α = 1, β = 1 and ρ = 0.05. The average cost and standard deviation from the 20 runtimes with best set of control parameters were also evaluated, with 1057.839 km and 25.913 km respectively. Last but not least, a conclusion is made to summarize the achievement of the study

Big Data and Big Data Analytics: Concepts, Types and Technologies

Nowadays, companies are starting to realize the importance of data availability in large amounts in order to make the right decisions and support their strategies. With the development of new technologies, the Internet and social networks, the production of digital data is constantly growing. The term "Big Data" refers to the heterogeneous mass of digital data produced by companies and individuals whose characteristics (large volume, different forms, speed of processing ) require specific and increasingly sophisticated computer storage and analysis tools. This article intends to define the concept of Big Data, its concepts, challenges and applications, as well as the importance of Big Data Analytics

The impact of Risk Management on Bank Sector Analytical study on Cihan Bank

This study reviews theories and models on operational and strategic risk management, as well as the main frameworks and regulations on risk management. The study focused on Cihan banks and the results were conclusive that risk management impact on Cihan bank and the factors affecting on banks is a committee, board, Chief executive officer (CEO). We distributing 70 questioners and obtain 50 only. The results and findings of this research are analyzed by SPSS package version 21 to build analysis and draw a conclusion. The research findings showed a distinctive relation between measuring dimensions and risk management

Application of Optimized SFCL and STATCOM for the Transient Stability and LVRT Capability Enhancement of Wind Farms

In this paper, the combined superconducting fault current limiter (SFCL) and STATCOM are used to improve transient stability and low-voltage ride-through (LVRT) capability of the wind turbine generation system (WTGS). The SFCL absorbs the accelerating energy of the generator, and therefore, improves the WTGS transient stability. Also, STATCOM helps the restore connecting point voltage to improve LVRT capability by reactive power compensation (RPC) after fault clearing. The optimization problem of SFCL resistance and STATCOM capacity is formulated based on the transient stability and LVRT capability of WTGS. The Simulation study shows the superior improving LVRT capability of combined SFCL and STATCOM over individual SFCL or STATCOM. Also, the required capacity of STATCOM for RPC is significantly reduced. PSCAD/EMTDC software (V4.2) is used for simulation

Optimal Energy Storage Sizing in Photovoltaic and Wind Hybrid Power System Meeting Demand-Side Management Program in Viet Nam

This paper proposes a new method to determine optimal energy storage sizing in photovoltaic and wind hybrid power generation systems. These generations are placed in a scheme of three blocks to forecast, measure, dispatch/control and distribute power flows in whole system to meet requirements of the demand-side management program in Viet Nam. Data about electric load power, power of solar irradiance, ambient temperature, wind speed and other weather conditions must be forecasted in a high accuracy. An algorithm to determine the optimal sizing is designed basing on forecasting data, constraints, the relation of quantities in whole system and the capability to charge/discharge energy of energy storage. The optimal sizing in this research helps to rearrange load diagrams that compensates deficient energy completely in stages having high and medium price levels. It can be applied at each bus to reduce cost for buying electricity from electric power system. The new proposal is illustrated by simulation results in a case study carried out by MATLAB 2017a

A Comparative Study of Vector Control and Model Predictive Control Technique for Grid Connected Battery System

Advancements made to battery energy storage technologies have led to increasing integration of battery systems with the grid. This paper presents a comparative study of the well-established vector control technique and the model predictive current control technique as applied to the grid connected battery systems. An electrical equivalent model of the battery is modeled and integrated with the grid using a three- phase bidirectional converter. The comparative study is shown for bidirectional flow of power to charge/discharge the battery from the grid. Also, the effects of model predictive control versus vector control technique are analyzed at an event of grid fault. Asymmetrical and symmetrical grid fault is considered for the comparison. All the modeling and simulation is performed in PSCADTM/EMTDCTM. The results are plotted using MATLAB R2017a. The results show that the model predictive control technique performs as good as the vector control technique for a battery connected grid system

The Impact of Applying Electronic Management System on the English Language Level: A Case study at Cihan University

This research shows the advantages of applying electronic management techniques and their effect on the English language level at Cihan University – Erbil in the Kurdistan Region through discussions and checking lists, reading documents of Cihan University - Erbil, and also the comparison with the experiences of regional and international universities which have a long history in the field of electronic management. The researchers illustrate the great benefits and importance of the electronic management in many aspects of the administrative activity of the university, however these benefits might entail some of the negatives that can be by passed when using information and communication technologies in an efficient and effective way, as well as when there is a good infrastructure which we can use it to increase the English level of Cihan students. To achieve the required advantages for Cihan University when applying electronic management, with a measurement of the usefulness of those advantages compared with the costs which should be afford by the university. The researchers use the academic style in the case study by distributing a check list form to a number of workers in the university and analyze mathematically, with a number of personal interviews with heads of departments, as well as the usage of descriptive approach by referencing to the literature through books, research and reviewing experiences of countries in order to reach the most important advantages of applying electronic management. The results of the study shows many important points, important of the electronic management is not a very complex science and it will become a perquisite requirement that must be applied to all the universities in Kurdistan Region due to its fertile , good infrastructure and the quality of the available surrounding environment and conditions

Myanmar Warning Board Recognition System

In any country, warning text is described on the signboards or wallpapers to follow by everybody. This paper present Myanmar character recognition from various warning text signboards using block based pixel count and eight-directions chain code. Character recognition is the process of converting a printed or typewritten or handwritten text image file into editable and searchable text file. In this system, the characters on the warning signboard images are recognized using the hybrid eight direction chain code features and 16-blocks based pixel count features. Basically, there are three steps of character recognition such as character segmentation, feature extraction and classification. In segmentation step, horizontal cropping method is used for line segmentation, vertically cropping method and bounding box is used for connected component character segmentation. In the classification step, the performance accuracy is measured by two ways such as KNN (K’s Nearest Neivour) classifier and feature based approach of template matching on 150 warning text signboard images

Failure Analysis in Conceptual Phase toward a Robust Design: Case Study in Monopropellant Propulsion System

As a system becomes more complex, the uncertainty in the operating conditions increases. In such a system, implementing a precise failure analysis in early design stage is vital. However, there is a lack of applicable methodology that shows how to implement failure analysis in the early design phase to achieve a robust design. The main purpose of this paper is to present a framework to design a complex engineered system resistant against various factors that may cause failures, when design process is in the conceptual phase and information about detailed system and component is unavailable. Within this framework, we generate a population of feasible designs from a seed functional model, and simulate and classified failure scenarios. We also develop a design selection function to compare robust score for candidate designs, and produce a preference ranking. We implement the proposed method on the design of an aerospace monopropellant propulsion system

Application of Big Data in Decision Making for Emergency Healthcare Management

Application of big data in healthcare has enhanced efficiency and decision making. This is of critical benefit to patients, healthcare professionals and the healthcare institution. Although various research studies have examined the application of big data analytics in healthcare, few studies have explored its application in emergency medicine. This research study explored the application of big data in emergency medicine in facilitating decision making among paramedics and other healthcare practitioners. Appropriate research studies were identified and reviewed systematically to explore the theme of the study. The study found that big data promoted decision making in emergency medicine through the predictor models, which enabled the healthcare practitioners make informed judgments concerning patient care