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Keyword: MeasureComputational Techniques to Recover Missing Gene Expression Data
Almost every cells in human’s body contain the same number of genes so what makes them different is which genes are expressed at any time. Measuring gene expression can be done by measuring the amount of mRNA molecules. However, it is a very expensive and time consuming task. Using computational methods can help biologists to…
Read MoreDifference in Speech Analysis Results by Coding
Mental health disorder is becoming a social problem, and there is a need for technology that can easily check for states of stress and depression as a countermeasure. Conventional methods of diagnostic support and screening include self-administered psychological tests and use of biomarkers. However, there are problems such as burden on subjects, examination costs, dedicated…
Read MoreEconomic and Social Sustainability for Iraqi Middle Provinces
This research is part of a study concerned with building an integrated framework for development of sustainable urban planning in Iraqi provinces. Seven Iraqi middle provinces are covered in this study. The aim of the study is to determine, measure and evaluate economic and social sustainability in the Iraqi middle provinces. The stages to achieve…
Read MoreDeveloping Students’ Motivation for Learning through Practical Problems in School
This paper is an extension of work originally presented in the 19th International Conference on Computer Supported Education and Information Technology. This paper identifies motivational factors that ensure the initiation and effective implementation of mathematical activity. These factors are in subordination to each other, forming a hierarchical dependence. At the heart of this hierarchy is…
Read MoreDevelopment and Testing of Intelligent Wheelchair Controller for Quadriplegic Patients
In this research paper, the development and evaluating of a smart controller for electrical powered wheelchairs are presented. The controller aimed to assist quadriplegic, paralyzed, and handicap patients who cannot use their hands to drive an electrical wheelchair by using a joystick controller. Two sub control units have been combined in one hybrid system to…
Read MoreAn Electroencephalogram Analysis Method to Detect Preference Patterns Using Gray Association Degrees and Support Vector Machines
This paper introduces an electroencephalogram (EEG) analysis method to detect preferences for particular sounds. Our study aims to create novel brain–computer interfaces (BMIs) to control human mental (NBMICM), which are used to detect human mental conditions i.e., preferences, thinking, and consciousness, choose stimuli to control these mental conditions, and evaluate these choices. It is important…
Read MoreThe Visualization of Cattle Movement Data in The State of Pará in 2016 Through Networks of Animal Transit Graphs and Guides
Animal movement is inherent in the marketing between the rural productive units, establishing space-time connections between them. The relational nature of such information is kept in the Animal Transit Guides (GTA), a mandatory issuance in Brazil. When evaluating such set of information, this work aimed at characterizing the bovine movement network in the state of…
Read MoreImprovement of Transmission Characteristics in Multilayer Dual Band Filter
This paper first simplifies the GA-optimized filter structure developed by us. Then the filter structure is modified by introducing slot and conductor stubs, based on electric fields and magnetic currents at resonant and transmission zero points. As a result, return losses in two passband regions are suppressed more than 28 dB, and also insertion loss…
Read MoreEvaluation of Methods for Sentence Similarity for Use in Intelligent Tutoring System
Finding similarity of textual data is very important task in natural language processing. In this article we present approach to finding similarity of words, paragraphs, sentences and documents. Semantic similarity is one of the central tasks in many applications, including text summarization, Intelligent Tutoring Systems (ITS) etc. In ITS sentence similarity is used to compare…
Read MoreMARWIN: Localization of an Inspection Robot in a Radiation exposed Environment
MARWIN is a mobile autonomous robot platform designed to carry out maintenance and inspection tasks in the European XFEL. The XFEL is an accelerator plant which is operated in Hamburg, Germany. The robot system consists of an four-wheel drive chassis and a scissor lift for easy inspection and maintenance tasks. Through this manipulator and the…
Read MoreAcoustic Signal Processing and Noise Characterization Theory via Energy Conversion in a PV Solar Wall Device with Ventilation through a Room
Noise defined as ‘a sensation of unwanted intensity of a wave’, is perception of a pollutant and a type of environmental stressor. The unwanted intensity of a wave is a propagation of noise due to transmission of waves (viz. physical agents) such as light, sound, heat, electricity, fluid and fire. The characterization of noise interference,…
Read MoreEffectiveness of Routing Protocols for Different Networking Scenarios
Selection of a routing protocol is vital for modern arena of Internet communication as network traffic and network complexities are rapidly increasing. This paper evaluates the effectiveness of three routing protocols namely routing information protocol version 2 (RIPv2), open shortest path first (OSPF), enhanced interior gateway routing protocol (EIGRP), and hybrid protocols based on these…
Read MoreTheory Building of Quattro Bottom Line Approach for Sustainable Reverse Logistics from Government Perspective: The Indonesia Evidence
Reverse logistics activities are widely used application to preserve the environment in many developed countries from e-waste problem. Due to lack of public awareness in many emerging countries, implementation of reverse logistics program must be initiated by government. Besides that, reverse logistics practices often fail to balance among profit target achievement, the environmental conservation, and…
Read MoreSimulation Strategy to Enhance Oxygen Uptake and Reaction Forces at Leg Joints and Vertebral Bodies During Ergometer Exercise Under Altered Gravity
Moderate exercise has been implemented in spaceflight programs to prevent muscle and joint damage under extreme circumstances such as microgravity. Although the physical effects of exercise have been investigated experimentally, advanced modeling and simulation techniques are powerful tools that could provide insight into the physical limitations, optimal conditions, and mechanisms that might lead to muscle…
Read MorePerformance Enhancement of MIMO-OFDM Using Redundant Residue Number System
The data transmitted over wireless communication systems are affected by various elements as noise, interference or distortion, and to be able to combat these factors the paper propose the utilization of Redundant Residue Number System (RR NS) coding as a Forward Error Correction (FEC) technique to enhance the performance of MIMO-OFDM communication system compared to…
Read MoreLearning Personalization Based on Learning Style instruments
Adaptive education systems (AES) are considered one of the most interesting research topics in technology-based learning strategies. Since students have different abilities, needs and learning styles, we should fit the curriculum and teaching activities to these different learning styles. This study investigates the impact of using LAES (Libyan Adaptive Education System) on the performance of…
Read MoreWeight Parameters and Green Tea Effect; A Review
The objective was to review and add literature whether green tea is helpful for weight reduction. Reviewing the randomized, double-blind, placebo-controlled trials to compare green tea extracts for weight loss from various online sources including Ovid MEDLINE, PubMed, and Cochrane databases studies published in 2006, 2007 and 2008 in English language were considered. In each…
Read MoreRevealing Strengths, Weaknesses and Prospects of Intelligent Collaborative e-Learning Systems
The rapid evolution of Collaborative e-Learning Systems migrates to the use of new technologies such the artificial intelligence (AI). In this context, the role of AI in increasing the quality of learning and making it more productive, persistent and efficient. In addition, it can accomplish repetitive and complex tasks in record time and unmatched accuracy.…
Read MoreExperimental Results and Numerical Simulation of the Target RCS using Gaussian Beam Summation Method
This paper presents a numerical and experimental study of Radar Cross Section (RCS) of radar targets using Gaussian Beam Summation (GBS) method. The purpose GBS method has several advantages over ray method, mainly on the caustic problem. To evaluate the performance of the chosen method, we started the analysis of the RCS using Gaussian Beam…
Read MoreAn Overview of Data Center Metrics and a Novel Approach for a New Family of Metrics
Data centers’ mission critical nature, significant power consumption, and increasing reliance on them for digital information, have created an urgent need to monitor and adequately manage these facilities. Metrics are a key part of this effort as their indicators raise flags that lead to optimization of resource utilization. A thorough review of existing data center…
Read MorePredicting Smoking Status Using Machine Learning Algorithms and Statistical Analysis
Smoking has been proven to negatively affect health in a multitude of ways. As of 2009, smoking has been considered the leading cause of preventable morbidity and mortality in the United States, continuing to plague the country’s overall health. This study aims to investigate the viability and effectiveness of some machine learning algorithms for predicting…
Read MorePerformance of Location and Positioning Systems: a 3D-Ultrasonic System Case
The necessity of navigation in people and mobile robots (MR) through specific environments (indoors or outdoors) has become more and more relevant nowadays. For indoors, generally speaking, the positioning systems can be divided into 2D (two dimensions) or 3D (three dimensions) approaches, where Ultrasonic Local Positioning Systems (ULPS) are often a common solution for MRs…
Read MoreEstimating short time interval densities in a CTM-KF model
On-ramping is being widely used as e method to increase the freeway operational efficiency. The main traffic parameter that must be taken in consideration for the implementation of the feedback control strategies for the on-ramp metering is density on the main section of road. In this paper is given discretized model of traffic which is…
Read MoreCommunity Detection in Social Network with Outlier Recognition
Exploring communities and outliers in Social Network is based on considering of some nodes have overlapped neighbor node within the same group as well as some nodes have no any link to the other node or have no any overlapped value. The existing approaches are based on the overlapping community detection method were only defined…
Read MoreTracking and Detecting moving weak Targets
Detect and tracking of moving weak targets is a complicated dynamic state estimation problem whose difficulty is increased in case of high clutter conditions or low signal to noise ratio (SNR). In this case, the track-before-detect filter (TBDF) that uses unthresholded measurements considers as an effective method for detecting and tracking a single target under…
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