Inquiry (E-Journal - Faculty of Business and Administration, International University of Sarajevo)
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Chromosome Polarity Determination Based on the Total Length and Centromere Location Using Machine Learning Algorithms
Get PDFIn this work we determine chromosome polarity based on three machine learning methods: multilayer perceptron (MLP) neural networks, k-nearest neighbor (k-nn) method and support vector machines (SVM). In all three machine learning methods only two chromosome features, total length of the chromosome and the cetromere location, were used to determine the chromosome polarity. Classification results obtained are 95.94%, 95.255%, and 95.88% for MLP neural networks, k-nn method and SVM respectively
Genetic Algorithms for the Synthesis of Circular Microstrip Ring Antenna
Get PDFMicrostrip antennas synthesis is a demanding task; many of the equations involved in the process use various approximations due to the nonlinear properties and relations that govern the antenna synthesis. In This paper we tried to use genetic algorithm to design a circular microstrip ring that operates in a predefined frequency band (402 – 405 MHz) Medical Implant Communication Service Frequency Band. The methodology and procedures are presented, a presentation of the method is provided and an HFSS simulation of the antenna is made. Results are presented with guidelines for further future wor
Internet of Things: Current Technological Review and New Low Power Wireless Sensor Network Protocol Proposal
Get PDFThis paper addresses Internet of Things (IoT) with state-of-art approach. The purpose is to give insight into concept of “smart living”, a concept that meets requirements of today’s modern society. Implementation of this new technology requires new hardware and software installed and run on devices (“things”) connected to the Internet anytime and anywhere. In order to make possible this new technology for wide use, few technological, standards and legal issues need to be solved. In a view of this a new low power wireless sensor network protocol is proposed in the IoT spirit
Genotoxicity analysis of Fromilid and Methotrexate using Allium test
Get PDFGround Moving Target Indicator (GMTI) and High Resolution Radar (HRR) can track position and velocity of ground moving target. Pose, angle between position and velocity, can be derived from kinematics estimates of position and velocity and it is often used to reduce the search space of a target identification (ID) and Automatic Target Recognition (ATR) algorithms. Due to low resolution in some radar systems, the GMTI estimated pose may exhibit large errors contributing to a faulty identification of potential targets. Our goal is to define new methodology to improve pose estimate. Besides applications in target tracking, there are numerous commercial applications in machine learning, augmented reality and body tracking
Intelligent Memory Allocation based on Fuzzy Logic
Get PDFBased on the Computerized Parkinson’s Law “work expands so as to fill the time available for its completion” (Thimbleby, 1993) it can be deduced that regardless of the size of the memory, there will always be programs to completely fill, or even overload that memory. Thus intelligent/sensible memory allocation process is crucial to system’s performance. However, due to the constant increase of processing power and the growth and spread of distributed systems, such as grid and cloud computing, memory allocation becomes a great challenge in the area of memory management today. Making allocation intelligent, so that the memory fragmentation and response time are reduced would be great, and in this research, this was attempted. The research presents Fuzzy Allocator, memory allocator based on fuzzy inference system. The allocator manages to sort the incoming memory requests according to their size and the size of free memory slot (hole). The output of the fuzzy allocator is the order in which the allocation of memory will be performed on the incoming memory requests. It reorders the incoming memory request queue so that the response time is reduced, and fragmentation is minimized
Using Neural Networks to Forecast the Implied Volatility: the Case of S&P100XEO
Get PDFCurrently the most popular method of estimating volatility is the implied volatility. It is calculated using the Black-Scholes option price formula, and is considered by traders to be a significant factor in signaling price movements in the underlying market. A trader is able to establish the proper strategic position in anticipation of changes in market trends if she/he could accurately forecast future volatility. There is an abundance of ways to compute the volatility. For two decades neural networks has been developed to forecast future volatility, using past volatilities and other options market factors. In this article a network is created for this purpose whose performance demonstrates the value of neural networks as a predictive tool in volatility analysis
Title Grey Predictor Reference Model For Assisting Particle Swarm Optimization
Get PDFThis paper proposes an approach of forming the average performance by Grey Modeling, GM, and use an average performance as reference model for doing evolutionary computation with error type performance index. The idea of the approach is to construct the reference model based on the performance of unknown systems when users apply evolutionary computation to fine-tuning the control systems with error type performance index. We apply this approach to particle swarm optimization for searching the optimal gains of baseline PI controller of wind turbines operating at the certain set point in Region 3. In the numerical simulation part, the corresponding results demonstrate the effectiveness of Grey Modeling
Finding optimal triangulation based on block method
Get PDFIn this paper we give one new proposal in finding optimal triangulation which is based on our authorial method for generating triangulation (Block method). We present two cases in calculation the triangulation weights (classical case and case based on block method). We also provide their equality and established relationship in calculation the weights for both models, with an emphasis on simplicity of calculations which occurs in the second case. The main goal of this paper is on the speed of obtaining optimal triangulation
Human chromosome classification using competitive support vector machine teams
Get PDFClassification of chromosome is a challenging task and requires very precise autonomous classifier. This paper proposes to employ competing support vector machines (SVMs) placed in a grid. Each agent in cells of the grid is responsible to distinguish two classes. Overall output is determined by simple majority voting of SVMs. Relying same principle as the work by Palalic and Can [17], we compared the results obtained where the algorithms delivers better accuracy
Soft computing & increasing efficiency of extracting data from SAP ERP
Get PDFThe purpose of this work is to draw attention to the importance of data entered into SAP and out of SAP ERP system. Through our work, we will use different and brand new scientific method of system dynamics in order to present results of on innovative way of graphic presentation. Common issue in companies across the globe, which use ERP system, is that one percent of highly valuable data never ends up in a centralized solution like SAP ERP. Instead of that, same data ends up in different kinds of so called external databases like Microsoft access, Excel spreadsheets, all kinds of paper notes etc. This causes many issues in SAP ERP business intelligence because management of the company doesn't see the "full picture" when it comes to achieving the company’s mission and vision. The goal is to present empirically the volume of savings both in the time of realizing the activities and in the financial context if the presented business activity is made by integration using SAP ERP system. Savings in time are shown with the use of system dynamics, and based on data acquired from measuring of certain activities. Savings in financial context are shown by the quantification of the state after including the business activity in information system contrary to the condition before it was included. If the management of company recognizes benefits on entering most of the crucial data into SAP ERP system and decides to exclude different types of external databases, model of system dynamics will clearly show how the same company can gain brand new benefits. This creates a whole new dimension for company which will be also ready for making quality decisions based on exact data from the system with very small percent of deviations