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Articles 5251 - 5280 of 7214
Full-Text Articles in Computer Engineering
Adaptive Feature Extraction And Svm Classification For Real-Time Fault Diagnosis Of Drivetrain Gearboxes, Dingguo Lu, Wei Qiao
Adaptive Feature Extraction And Svm Classification For Real-Time Fault Diagnosis Of Drivetrain Gearboxes, Dingguo Lu, Wei Qiao
Department of Electrical and Computer Engineering: Faculty Publications
Drivetrain gearboxes play an important role in many modern industrial applications. This paper presents a novel method consisting of adaptive feature extraction and support vector machine (SVM)-based classification for condition monitoring and fault diagnosis of drivetrain gearboxes operating in variable-speed conditions. An adaptive signal resampling algorithm, a frequency tracker, and a feature generation algorithm are integrated in the proposed method for effective extraction of the features of gearbox faults from the stator current signal of the AC electric machine connected to the gearbox. A radial basis function kernel-SVM classifier is designed to identify the fault in the gearbox according to …
Achievable Throughput Regions Of Fading Broadcast And Interference Channels Under Qos Constraints, Deli Qiao, Mustafa Cenk Gursoy, Senem Velipasalar
Achievable Throughput Regions Of Fading Broadcast And Interference Channels Under Qos Constraints, Deli Qiao, Mustafa Cenk Gursoy, Senem Velipasalar
Department of Electrical and Computer Engineering: Faculty Publications
Transmission over fading broadcast and interference channels in the presence of quality of service (QoS) constraints is studied. Effective capacity, which provides the maximum constant arrival rate that a given service process can support while satisfying statistical QoS constraints, is employed as the performance metric. In the broadcast scenario, the effective capacity region achieved with superposition coding and successive interference cancellation is identified and is shown to be convex. Subsequently, optimal power control policies that achieve the boundary points of the effective capacity region are investigated, and an algorithm for the numerical computation of the optimal power adaptation schemes for …
Adaptive Threshold Displacement Algorithm For Removing Hidden Information From Digital Images, Fahimeh Rezaei, Michael Hempel, Tao Ma, Pradhumna Lal Shrestha, Dongming Peng, Hamid Sharif
Adaptive Threshold Displacement Algorithm For Removing Hidden Information From Digital Images, Fahimeh Rezaei, Michael Hempel, Tao Ma, Pradhumna Lal Shrestha, Dongming Peng, Hamid Sharif
Department of Electrical and Computer Engineering: Faculty Publications
The growth of the Internet and online social media, especially in recent years, also gave rise to a proliferation of online multimedia content creation and distribution. The use of modern steganography methods – the art of hiding information within multimedia – presents an unprecedented opportunity for malicious uses of these materials. Therefore, developing an effective technique to avoid the distribution of secret data is a significant problem that is addressed in this paper for digital images. We introduce a novel algorithm to remove the steganography information embedded in an image without changing the quality of the image and with no …
Adaptive Channel Allocation And Routing In Cognitive Radio Networks, Zhihui Shu, Jiazhen Zhou, Yi Qian, Rose Qingyang Hu
Adaptive Channel Allocation And Routing In Cognitive Radio Networks, Zhihui Shu, Jiazhen Zhou, Yi Qian, Rose Qingyang Hu
Department of Electrical and Computer Engineering: Faculty Publications
One of the biggest challenges in multi-hop cognitive radio networking is the dynamic change of channel availability to secondary users which could cause the breaking of routes and thus communications. To address this challenge, we propose an adaptive channel allocation and routing scheme in this paper. Our scheme is flexible so that it can react to the dynamic change of channel availability, and it can maximize the throughput by exploiting network coding opportunities. First, we model the primary users’ activity, channel availability and the interference among the secondary users in a cognitive radio network environment, and show how to implement …
Distributed Beamforming With Imperfect Phase Synchronization For Cognitive Radio Networks, Andrew Minturn, Deepraj Vernekar, Yaoqing Lamar Yang, Hamid Sharif
Distributed Beamforming With Imperfect Phase Synchronization For Cognitive Radio Networks, Andrew Minturn, Deepraj Vernekar, Yaoqing Lamar Yang, Hamid Sharif
Department of Electrical and Computer Engineering: Faculty Publications
In this paper, we present the analysis and simulation evaluation of a cognitive radio network employing a distributed beamforming technique with imperfect phase synchronization in the presence of a primary receiver. Our system model consists of a group of cognitive transmitters, each with an ideal isotropic antenna and equal transmit power, communicating with a secondary receiver in the farfield. The objective of the network of cognitive transmitters is to optimize its beampattern in the direction of the secondary receiver while minimizing the beampattern in the direction of the primary receiver to a certain threshold. The phases of the transmitted signals …
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.
A Simple Experiment With Microsoft Office 2010 And Windows 7 Utilizing Digital Forensic Methodology, Gregory H. Carlton
A Simple Experiment With Microsoft Office 2010 And Windows 7 Utilizing Digital Forensic Methodology, Gregory H. Carlton
Journal of Digital Forensics, Security and Law
Digital forensic examiners are tasked with retrieving data from digital storage devices, and frequently these examiners are expected to explain the circumstances that led to the data being in its current state. Through written reports or verbal, expert testimony delivered in court, digital forensic examiners are expected to describe whether data have been altered, and if so, then to what extent have data been altered. Addressing these expectations results from opinions digital forensic examiners reach concerning their understanding of electronic storage and retrieval methods. The credibility of these opinions evolves from the scientific basis from which they are drawn using …
The Advanced Data Acquisition Model (Adam): A Process Model For Digital Forensic Practice, Richard Adams, Val Hobbs, Graham Mann
The Advanced Data Acquisition Model (Adam): A Process Model For Digital Forensic Practice, Richard Adams, Val Hobbs, Graham Mann
Journal of Digital Forensics, Security and Law
As with other types of evidence, the courts make no presumption that digital evidence is reliable without some evidence of empirical testing in relation to the theories and techniques associated with its production. The issue of reliability means that courts pay close attention to the manner in which electronic evidence has been obtained and in particular the process in which the data is captured and stored. Previous process models have tended to focus on one particular area of digital forensic practice, such as law enforcement, and have not incorporated a formal description. We contend that this approach has prevented the …
A Method For Ontology-Based Semantic Relatedness Measurement, Görkem Gi̇ray, Murat Osman Ünalir
A Method For Ontology-Based Semantic Relatedness Measurement, Görkem Gi̇ray, Murat Osman Ünalir
Turkish Journal of Electrical Engineering and Computer Sciences
There are many methods having different approaches for assessing similarity and relatedness and they are used in many application areas, including web service discovery, invocation and composition, word sense disambiguation, information retrieval, ontology alignment and merging, document clustering, and short answer grading. These methods can be categorized as path-based, information content-based, feature-based, geometric model-based, and hybrid approaches. These approaches use resources such as concept hierarchy, conceptual graph, and corpus for computing similarity and relatedness. With the rise of the semantic web, ontologies have attracted the attention of several researchers. Ontologies represented in the Web Ontology Language (OWL) are also valuable …
A New Tool For Qt Interval Analysis During Sleep In Healthy And Obstructive Sleep Apnea Subjects: A Study On Women, Kemal Ali̇can Kaya, Bülent Yilmaz
A New Tool For Qt Interval Analysis During Sleep In Healthy And Obstructive Sleep Apnea Subjects: A Study On Women, Kemal Ali̇can Kaya, Bülent Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
By monitoring the Q wave/T wave (QT) interval computed from electrocardiography (ECG) signals during sleep, it is possible to create a link between the ventricular repolarization and sleep stages. In this study, we aimed to find a robust and simple approach to automatically determine the fiducials on each 30-s sleep epoch, such as the Q, R, and T-end points, on long sleep ECG recordings in order to statistically analyze the effect of obstructive sleep apnea (OSA) and sleep stages on QT intervals. This is a retrospective study in which the ECG data extracted from the polysomnography recordings of 7 healthy …
Estimation Of Fuel Cost Curve Parameters For Thermal Power Plants Using The Abc Algorithm, Yusuf Sönmez
Estimation Of Fuel Cost Curve Parameters For Thermal Power Plants Using The Abc Algorithm, Yusuf Sönmez
Turkish Journal of Electrical Engineering and Computer Sciences
The solution accuracy of economic dispatch problems is associated with the accuracy of the fuel cost curve parameters. Therefore, updating of these parameters is a very important issue to further improve the final accuracy of economic dispatch problems. Estimating the parameters of the fuel cost curve may be the best solution for this issue. This paper presents an application of the artificial bee colony (ABC) algorithm to estimate the fuel cost curve parameters of thermal power plants. In the estimation problem, 1st-, 2nd-, and 3rd-order fuel cost functions are used, and the estimation problem is formulated as an optimization one. …
Preserving Location Privacy For A Group Of Users, Maede Ashouri-Talouki, Ahmad Baraani Dastjerdi, Ali̇ Aydin Selçuk
Preserving Location Privacy For A Group Of Users, Maede Ashouri-Talouki, Ahmad Baraani Dastjerdi, Ali̇ Aydin Selçuk
Turkish Journal of Electrical Engineering and Computer Sciences
Location privacy is an interesting problem that has been receiving considerable attention. This problem has been widely discussed from the individual point of view; however, there exist only a few works that support location privacy for a group of users. In this paper we consider the problem of supporting location privacy for a group of users during the use of location-based services (LBSs). We assume a group of users who want to benefit from a LBS and find the nearest meeting place that minimizes their aggregate distance. Each user in this scenario wants to protect his or her location from …
Swarm Optimization Tuned Mamdani Fuzzy Controller For Diabetes Delayed Model, Mohammad Hassan Khooban, Davood Nazari Maryam Abadi, Alireza Alfi, Mehdi Siahi
Swarm Optimization Tuned Mamdani Fuzzy Controller For Diabetes Delayed Model, Mohammad Hassan Khooban, Davood Nazari Maryam Abadi, Alireza Alfi, Mehdi Siahi
Turkish Journal of Electrical Engineering and Computer Sciences
Diabetes is a chronic disease in which there are high levels of sugar in the blood. Insulin is a hormone that regulates the blood glucose level in the body. Diabetes mellitus can be caused by too little insulin, a resistance to insulin, or both. Although research activities on controlling blood glucose have been attempted to lower the blood glucose level in the quickest possible time, there are some shortages in the amount of the insulin injection. In this paper, a complete model of the glucose--insulin regulation system, which is a nonlinear delay differential model, is used. The purpose of this …
Orthogonal Array Based Performance Improvement In The Gravitational Search Algorithm, Ökkeş Tolga Altinöz, Asim Egemen Yilmaz, Gerhard Wilhelm Weber
Orthogonal Array Based Performance Improvement In The Gravitational Search Algorithm, Ökkeş Tolga Altinöz, Asim Egemen Yilmaz, Gerhard Wilhelm Weber
Turkish Journal of Electrical Engineering and Computer Sciences
The gravitational search algorithm (GSA) is a novel heuristic method inspired by Newton's gravity and velocity equations. In addition, it is a population-based algorithm, in which each member (called an agent) in the population has a mass, velocity, and acceleration. Beginning with the first population state, agents influence each other via mass and velocity relations. This mutual effect causes agents to reach the optimum. Hence, the performance of the GSA to attain the optimum is related to the initial population formation, like other population-based algorithms. In this study, the orthogonal array (OA) concept is applied and injected to the GSA …
A New Technique For Rare-Event Simulation Based On Partition Of The Region, Amir Jalaly Bidgoly, Mohammad Abdollahi Azgomi
A New Technique For Rare-Event Simulation Based On Partition Of The Region, Amir Jalaly Bidgoly, Mohammad Abdollahi Azgomi
Turkish Journal of Electrical Engineering and Computer Sciences
Rare events are an important limitation of discrete-event simulation in some areas of applications. The existing rare-event simulation (RES) techniques, such as importance sampling (IS), splitting, and RESTART, have been used for RES so far. However, these techniques not only have some limitations, but also are not general or easy to use. In this paper, the partition of the region (PoR) method is used as a variance reduction technique in a new RES technique for usage with a wide range of modeling and simulation languages. Three variants of the proposed technique will be introduced: simple PoR, recursive PoR, and advanced …
Model Of A Photovoltaic Panel Emulator In Matlab-Simulink, Hayretti̇n Can
Model Of A Photovoltaic Panel Emulator In Matlab-Simulink, Hayretti̇n Can
Turkish Journal of Electrical Engineering and Computer Sciences
Being able to behave electrically similar to photovoltaic (PV) panels, PV emulator systems make it possible to perform different PV system tests under various operation conditions. In this paper, a model of a PV panel emulator is presented using the Power System Blockset under MATLAB-Simulink. The simulation of the emulator system is developed for testing a controller prior to a real-time implementation. The model can handle the dependence of all of the parameters in the model with respect to solar radiation and temperature. The simulation results show that the output characteristics of the simulator have good agreement with those of …
Control, Design, And Implementation Of A Low-Cost Ultracapacitor Test System, Hasan Hüseyi̇n Eroğlu, Ahmet Masum Hava
Control, Design, And Implementation Of A Low-Cost Ultracapacitor Test System, Hasan Hüseyi̇n Eroğlu, Ahmet Masum Hava
Turkish Journal of Electrical Engineering and Computer Sciences
This paper reviews the ultracapacitor (UC) test procedures, establishes simple and economical power electronic conversion system-based UC test equipment, and experimentally evaluates the performance of a UC module. The power converter hardware structure and control algorithms of the designed system are discussed in detail. The high bandwidth and high accuracy current programming capability of the converter for the purpose of charging and discharging the UC, as required during testing, is illustrated via the experimental results. The UC equivalent circuit parameters are extracted. Successful constant current and constant power charging/discharging operating performances are demonstrated. The results of this study help with …
An Event-Driven Wsn Mac Protocol Design Based On Active Node And Dynamic Time Slot Allocation, Nükhet Sazak, İsmai̇l Ertürk, Etem Köklükaya, Murat Çakiroğlu
An Event-Driven Wsn Mac Protocol Design Based On Active Node And Dynamic Time Slot Allocation, Nükhet Sazak, İsmai̇l Ertürk, Etem Köklükaya, Murat Çakiroğlu
Turkish Journal of Electrical Engineering and Computer Sciences
The unique features of wireless sensor networks (WSNs) make them suitable for a wide range of applications in many different areas. However, with many of the protocols and algorithms used in traditional wireless networks, it is usually neither feasible nor possible to apply them directly to WSNs due to the strict resource constraints of tiny sensor nodes. Moreover, application-specific approaches for communication protocols are usually imposed since WSN applications have distinct requirements. In this study, event-driven WSN applications, where a number of sensor nodes are randomly and densely deployed in remote and difficult to reach locations, are targeted. In such …
Role Of Energy Management In Hybrid Renewable Energy Systems: Case Study-Based Analysis Considering Varying Seasonal Conditions, Recep Yumurtaci
Role Of Energy Management In Hybrid Renewable Energy Systems: Case Study-Based Analysis Considering Varying Seasonal Conditions, Recep Yumurtaci
Turkish Journal of Electrical Engineering and Computer Sciences
The recent popularity of alternative energy technologies is mainly promoted by the increasing awareness of environmental concerns as well as the economic impacts of the depleting fossil fuel reserves. Among several alternative technologies, wind- and solar-based energy have been given specific importance with government-based support for providing a cost-effective structure to realize better penetration of such environmentally friendly sources in the energy market. Even these sources are advantageous over the conventional means of energy production from many aspects, a main drawback being the total dependence on the meteorological conditions (wind speed, solar radiation, temperature, etc.) of the wind and solar …
Opf-Based Reactive Power Planning And Voltage Stability Limit Improvement Under Single Line Outage Contingency Condition Through Evolutionary Algorithms, Sakthivel Padaiyatchi, Mary Daniel
Opf-Based Reactive Power Planning And Voltage Stability Limit Improvement Under Single Line Outage Contingency Condition Through Evolutionary Algorithms, Sakthivel Padaiyatchi, Mary Daniel
Turkish Journal of Electrical Engineering and Computer Sciences
Reactive power planning is vital for maintaining the voltage stability of power systems and evolutionary algorithms are highly useful for achieving this task. This paper compares the effectiveness of the differential evolution (DE) and evolutionary programming (EP) algorithms in optimizing the reactive power planning of power systems under line outage contingency conditions. DE is efficient in exploration through the search space of the problem, while EP is simple and easy to implement. The low cost but fast response thyristor-controlled series capacitor (TCSC) flexible alternating current transmission system (FACTS) device is incorporated to control the power flows. The optimal settings of …
Optimized Features Selection For Gender Classification Using Optimization Algorithms, Sajid Ali Khan, Muhammad Nazir, Naveed Riaz
Optimized Features Selection For Gender Classification Using Optimization Algorithms, Sajid Ali Khan, Muhammad Nazir, Naveed Riaz
Turkish Journal of Electrical Engineering and Computer Sciences
Optimized feature selection is an important task in gender classification. The optimized features not only reduce the dimensions, but also reduce the error rate. In this paper, we have proposed a technique for the extraction of facial features using both appearance-based and geometric-based feature extraction methods. The extracted features are then optimized using particle swarm optimization (PSO) and the bee algorithm. The geometric-based features are optimized by PSO with ensemble classifier optimization by the genetic algorithm. Using this approach, we have obtained promising results in terms of the classification error rate and computation time minimization. Moreover, our optimized feature-based method …
Extracting Fuzzy Rules For The Diagnosis Of Breast Cancer, Ali̇ Keleş, Aytürk Keleş
Extracting Fuzzy Rules For The Diagnosis Of Breast Cancer, Ali̇ Keleş, Aytürk Keleş
Turkish Journal of Electrical Engineering and Computer Sciences
About one million women are diagnosed with breast cancer every year. Breast cancer makes up one-third of all cancer diagnoses in women. Diagnosing breast cancer early is vital for successful treatment. Among the breast cancer screening methods available today, mammography is the most effective, although the low precision rate of breast biopsy caused by mammogram interpretation results in approximately 70% unnecessary biopsies with benign outcomes. The aim of this study was to extract strong diagnostic fuzzy rules for the inference engine of an expert system to be used for the diagnosis of breast cancer. These rules have been extracted through …
Multireference Tdoa-Based Source Localization, Hamid Torbati Fard, Mahmoud Atashbar, Yaser Norouzi, Farrokh Hojjat Kashani
Multireference Tdoa-Based Source Localization, Hamid Torbati Fard, Mahmoud Atashbar, Yaser Norouzi, Farrokh Hojjat Kashani
Turkish Journal of Electrical Engineering and Computer Sciences
Time difference of arrival (TDOA)-based methods usually achieve the most accurate source localization in passive systems. In these methods, one of the sensors is assigned as the reference and the TDOA of the others with respect to the reference is measured. The source location is estimated by processing these TDOAs. In this paper, a multireference maximum likelihood (ML)-Taylor algorithm is proposed in order to decrease the source localization error of the TDOA methods. In the proposed algorithm, TDOAs are measured assuming 2 different reference sensors, and then the ML objective function of this multireference TDOA algorithm is derived and solved …
Control In Networked Systems With Fuzzy Logic, Akhan Akbulut, Oğuzhan Öztaş
Control In Networked Systems With Fuzzy Logic, Akhan Akbulut, Oğuzhan Öztaş
Turkish Journal of Electrical Engineering and Computer Sciences
Recently, the development of control systems based on network-based architecture is getting very high attention. Because of its fast data communication, network-based control is in high demand. However, there are some disadvantages, such as delays, data packet dropouts, and communication constraints. Network-based control systems are getting attention in the development of this architecture because of these disadvantages. Optimization of the system is supplied to improve the existing structure. The optimization is categorized into 2 main structures: software optimization and hardware optimization. The structure of the overall system is designed with these optimization strategies. A hierarchical and communicational structure has emerged …
Asynchronous Logic Design With Increased Fault Tolerance And Optimized For Subthreshold Operation, Ivan Santos
Asynchronous Logic Design With Increased Fault Tolerance And Optimized For Subthreshold Operation, Ivan Santos
Open Access Theses & Dissertations
Synchronization has always been an essential feature in electronic circuits, in which functionality is achieved by an appropriate flow of data with respect to time. An ideal concept of logic design would require every operation to happen instantly; however, the application of this principle to electronics is governed by the laws of physics, which influence the time to execute a process. In fact, the speed at which a microprocessor can perform logic operations is determined by the time that charging and discharging capacitive loads requires, and the time that electric signals spend when traveling through the circuitry. Consequently, the variation …
Information Security Challenge Of Qr Codes, Nik Thompson, Kevin Lee
Information Security Challenge Of Qr Codes, Nik Thompson, Kevin Lee
Journal of Digital Forensics, Security and Law
The discipline of information security must adapt to new technologies and methods of interaction with those technologies. New technologies present both challenges and opportunities for the security professional, especially for areas such as digital forensics. Challenges can be in the form of new devices such as smartphones or new methods of sharing information, such as social networks. One such rapidly emerging interaction technology is the use of Quick Response (QR) codes. These offer a physical mechanism for quick access to Web sites for advertising and social interaction. This paper argues that the common implementation of QR codes potentially presents security …
Measuring Inconsistency Methods For Evidentiary Value, Fred Cohen
Measuring Inconsistency Methods For Evidentiary Value, Fred Cohen
Journal of Digital Forensics, Security and Law
Many inconsistency analysis methods may be used to detect altered records or statements. But for admission as evidence, the reliability of the method has to be determined and measured. For example, in China, for evidence to be admitted, it has to have 95% certainty of being correct,1 and that certainty must be shown to the court, while in the US, evidence is admitted if it is more probative than prejudicial (a >50% standard).2 In either case, it is necessary to provide a measurement of some sort in order to pass muster under challenges from the other side. And in most …
Technology Corner Visualising Forensic Data: Evidence (Part 1), Damian Schofield, Ken Fowle
Technology Corner Visualising Forensic Data: Evidence (Part 1), Damian Schofield, Ken Fowle
Journal of Digital Forensics, Security and Law
Visualisation is becoming increasingly important for understanding information, such as investigative data (for example: computing, medical and crime scene evidence) and analysis (for example: network capability assessment, data file reconstruction and planning scenarios). Investigative data visualisation is used to reconstruct a scene or item and is used to assist the viewer (who may well be a member of the general public with little or no understanding of the subject matter) to understand what is being presented. Analysis visualisations, on the other hand, are usually developed to review data, information and assess competing scenario hypotheses for those who usually have an …
How Often Is Employee Anger An Insider Risk I? Detecting And Measuring Negative Sentiment Versus Insider Risk In Digital Communications, Eric Shaw, Maria Payri, Michael Cohn, Ilene R. Shaw
How Often Is Employee Anger An Insider Risk I? Detecting And Measuring Negative Sentiment Versus Insider Risk In Digital Communications, Eric Shaw, Maria Payri, Michael Cohn, Ilene R. Shaw
Journal of Digital Forensics, Security and Law
This research introduced two new scales for the identification and measurement of negative sentiment and insider risk in communications in order to examine the unexplored relationship between these two constructs. The inter-rater reliability and criterion validity of the Scale of Negativity in Texts (SNIT) and the Scale of Insider Risk in Digital Communications (SIRDC) were established with a random sample of email from the Enron archive and criterion measures from established insiders, disgruntled employees, suicidal, depressed, angry, anxious, and other sampled groups. In addition, the sensitivity of the scales to changes over time as the risk of digital attack increased …
Table Of Contents
Journal of Digital Forensics, Security and Law
No abstract provided.