Fgmos-Based Differential Difference Cccii And Its Applications,
2016
TÜBİTAK
Fgmos-Based Differential Difference Cccii And Its Applications, Ökkeş Gökalp Sökmen, Sezai̇ Alper Teki̇n, Hamdi̇ Ercan, Mustafa Alçi
Turkish Journal of Electrical Engineering and Computer Sciences
controlled current conveyor (DDCCC) is proposed in this paper. Major advantages of the FGMOS-based DDCCC are low power dissipation and simplicity. The proposed circuit is designed using only 14 MOS transistors. The total power dissipation of the proposed circuit is equal to 7.38 $\mu $W. The other advantage of this circuit is that intrinsic resistance seen at port X of the DDCCC can easily be tuned by a biasing current. The tuning range of the intrinsic resistance is rather wide. Additionally, a current controlled universal filter and tunable positive and negative active resistors are presented as applications of the proposed …
A New Abc-Based Multiobjective Optimization Algorithm With An Improvement Approach (Ibmo: Improved Bee Colony Algorithm For Multiobjective Optimization), Tahi̇r Sağ, Mehmet Çunkaş
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Content-Based Texture Image Retrieval By Histogram Of Curvelets,
2016
TÜBİTAK
Content-Based Texture Image Retrieval By Histogram Of Curvelets, Erkan Uslu, Songül Albayrak
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Shunt Active Power Filter Control For Compensating Current Power Quality Problems In Three-Phase Three-Wire Systems Based On An Adaptive Notch Filter, Seyed Hossein Tabatabaei, Mehran Moslehi Bajestan, Alireza Jalilian
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Impact Of Statcom And Sssc On Synchronous Generator Loe Protection,
2016
TÜBİTAK
Impact Of Statcom And Sssc On Synchronous Generator Loe Protection, Amir Ghorbani, Babak Mozafari, Soodabeh Soleymani, Ali Mohammad Ranjbar
Turkish Journal of Electrical Engineering and Computer Sciences
of synchronous generators. Nowadays, application of an impedance relay with two negative offset operation zones to protect LOE is prevalent; this relay measures the output voltage and current of generator to detect LOE. On the other hand, utilization of flexible AC transmission systems (FACTS) devices in power systems for different applications is soaring; these devices cause changes in voltage and current signals in the utilized power system. Therefore, this paper is dedicated to investigate the amounts of changes in the current and voltage signals measured by the LOE relay when the static synchronous compensator (STATCOM) and static synchronous series compensator …
Design Of Fir Filters Using Exponential--Hamming Window Family,
2016
TÜBİTAK
Design Of Fir Filters Using Exponential--Hamming Window Family, Kemal Avci̇
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Design And Manufacture Of Tds Measurement And Control System For Water Purification In Reverse Osmosis By Pid Fuzzy Logic Controller With The Ability To Compensate Effects Of Temperature On Measurement, Seyed Kamaleddin Mousavi Mashhadi, Hamid Yadollahi, Abbas Marvian Mashhad
Turkish Journal of Electrical Engineering and Computer Sciences
of water has significant importance for industry, agriculture, livestock, and health. The system designed and manufactured in this paper measures, displays, and controls the TDS of water by installation on domestic and industrial purification systems. Technology of manufacturing the TDS measurement system is such that it can compensate for the adverse effect of temperature. Calibration of the measurement system will be explained here by discussion of several examinations conducted at the Research Institute of Food Science and Technology of Iran. In order to control TDS, a mathematical model for domestic water purification devices of reverse osmosis (RO) is obtained using …
Abnormal Event Detection In Crowded Scenes Via Bag-Of-Atomic-Events-Based Topic Model,
2016
TÜBİTAK
Abnormal Event Detection In Crowded Scenes Via Bag-Of-Atomic-Events-Based Topic Model, Xing Hu, Shiqiang Hu, Lingkun Luo, Guoxiang Li
Turkish Journal of Electrical Engineering and Computer Sciences
crowded scenes. A new concept of atomic event is introduced into this framework, which is the basic component of video events. Different from previous bag-of-words (BoW) modeling-based methods that represent feature descriptors using only one code word, a feature descriptor is represented using a few more atomic events in bag-of-atomic-events (BoAE) modeling. Consequently, the approximation error is reduced by using the obtained BoAE representation. In the context of abnormal event detection, BoAE representation is more suitable to describe abnormal events than BoW representation, because the abnormal event may not correspond to any code word in BoW modeling. Fast latent Dirichlet …
Effects Of Mica2-Based Discrete Energy Levels On The Lifetime Of Cooperation Neighbor Sensor Networks,
2016
TÜBİTAK
Effects Of Mica2-Based Discrete Energy Levels On The Lifetime Of Cooperation Neighbor Sensor Networks, Zeydi̇n Pala
Turkish Journal of Electrical Engineering and Computer Sciences
using Mica2 mote discrete power levels on neighbor sensor network lifetime. We built a linear programming framework to qualify the cooperation of sensor networks using a discrete energy model in comparison to noncooperating networks. Our results showed that a wireless sensor neighbor network that uses a discrete radio model can be more energy efficient than a network that uses a nondiscrete energy model.
Dynamic Characteristics Of An Isolated Self-Excited Synchronous Reluctance Generator Driven By A Wind Turbine,
2016
TÜBİTAK
Dynamic Characteristics Of An Isolated Self-Excited Synchronous Reluctance Generator Driven By A Wind Turbine, Mosaad Mohiedden Ali, Said Mahmoud Allam, Talaat Hamdan Abdel-Moneim
Turkish Journal of Electrical Engineering and Computer Sciences
This paper studies the dynamic characteristics of an isolated three-phase self-excited synchronous reluctance generator (SESRG) driven by a variable-speed wind turbine under different operating conditions. Self-excitation is achieved via capacitors connected across the generator terminals. A detailed mathematical modeling of the proposed self-excited wind generation system is presented. The proposed analysis is based on the dynamic qd-axis model of the SESRG. Magnetic saturation is taken into account and is assumed to be confined to the direct axis and is accounted for as a variable direct-axis magnetizing reactance. Effect of wind-speed variation, excitation-capacitance variation, and loading-conditions variation on the generated output …
Optical Fiber Sensors In Physical Intrusion Detection Systems: A Review,
2016
Edith Cowan University
Optical Fiber Sensors In Physical Intrusion Detection Systems: A Review, Gary Andrew Allwood, Graham Wild, Steven Hinkley
Research outputs 2014 to 2021
Fiber optic sensors have become a mainstream sensing technology within a large array of applications due to their inherent benefits. They are now used significantly in structural health monitoring, and are an essential solution for monitoring harsh environments. Since their first development over 30 years ago, they have also found promise in security applications. This paper reviews all of the optical fiber-based techniques used in physical intrusion detection systems. It details the different approaches used for sensing, interrogation, and networking, by research groups, attempting to secure both commercial and residential premises from physical security breaches. The advantages and the disadvantages …
Proactive Biometric-Enabled Forensic Imprinting,
2016
Majmaah University, College of Computer and Information Sciences, Riyadh
Proactive Biometric-Enabled Forensic Imprinting, Abdulrahman Alruban, Nathan L. Clarke, Fudong Li, Steven M. Furnell
Research outputs 2014 to 2021
Threats to enterprises have become widespread in the last decade. A major source of such threats originates from insiders who have legitimate access to the organization's internal systems and databases. Therefore, preventing or responding to such incidents has become a challenging task. Digital forensics has grown into a de-facto standard in the examination of electronic evidence; however, a key barrier is often being able to associate an individual to the stolen data. Stolen credentials and the Trojan defense are two commonly cited arguments used. This paper proposes a model that can more inextricably links the use of information (e.g. images, …
Novel H.265 Video Traffic Prediction Models Using Artificial Neural Networks,
2016
Georgia Southern University
Novel H.265 Video Traffic Prediction Models Using Artificial Neural Networks, Collin Daly
Honors College Theses
In this work, we propose the use of non-linear, autoregressive neural network models for predicting video frame sizes. This model utilizes H.265 encoded video traces as inputs and the predicted future frame sizes as outputs. This model is developed to predict ultra-high definition video frame encoded with H.265 within IP networks. The video I, P, and B frames are predicted separately to improve model prediction accuracy. This approach is verified in MATLAB using various H.265 video traces. The results indicate that the proposed models were able to predict the video traffic fairly accurately.
Leveraging Heritrix And The Wayback Machine On A Corporate Intranet: A Case Study On Improving Corporate Archives,
2016
Old Dominion University
Leveraging Heritrix And The Wayback Machine On A Corporate Intranet: A Case Study On Improving Corporate Archives, Justin F. Brunelle, Krista Ferrante, Eliot Wilczek, Michele C. Weigle, Michael L. Nelson
Computer Science Faculty Publications
In this work, we present a case study in which we investigate using open-source, web-scale web archiving tools (i.e., Heritrix and the Wayback Machine installed on the MITRE Intranet) to automatically archive a corporate Intranet. We use this case study to outline the challenges of Intranet web archiving, identify situations in which the open source tools are not well suited for the needs of the corporate archivists, and make recommendations for future corporate archivists wishing to use such tools. We performed a crawl of 143,268 URIs (125 GB and 25 hours) to demonstrate that the crawlers are easy to set …
Impacts Of Soil Type And Moisture On The Capacity
Of Multi-Carrier Modulation In Internet Of
Underground Things,
2016
University of Nebraska-Lincoln
Impacts Of Soil Type And Moisture On The Capacity Of Multi-Carrier Modulation In Internet Of Underground Things, Abdul Salam, Mehmet C. Vuran
School of Computing: Conference and Workshop Papers
Unique interactions between soil and communication components in wireless underground communications necessitate revisiting fundamental communication concepts from a different perspective. In this paper, capacity profile of wireless underground (UG) channel for multi-carrier transmission techniques is analyzed based on empirical antenna return loss and channel frequency response models in different soil types and moisture values. It is shown that data rates in excess of 124 Mbps are possible for distances up to 12 m. For shorter distances and lower soil moisture conditions, data rates of 362 Mbps can be achieved. It is also shown that due to soil moisture variations, UG …
Nsu College Engineering And Computing Curriculum 2016,
2016
Nova Southeastern University
Nsu College Engineering And Computing Curriculum 2016, Nova Southeastern University
College of Engineering and Computing Course Catalogs
No abstract provided.
Kinematic Modeling Of An Automated Laser Line Scanning System,
2016
Wayne State University
Kinematic Modeling Of An Automated Laser Line Scanning System, Kiran Sunil Deshmukh
Wayne State University Theses
This research work describes the geometric coordinate transformation in an automated laser line scanning system caused by movements required for scanning a component surface. The elements of an automated laser scanning system (robot, laser line scanner, and the component coordinate system) function as a mechanical linkage to obtain a trajectory on a component surface. This methodology solves the forward kinematics, derives the component surface, and uses inverse kinematic equations to characterize the movement of the entire automated scanning system on point trajectory. To reach a point on the component, joint angles of robot have been calculated. As a result, trajectory …
A Closed Loop Research Platform That Enables Dynamic Control Of Wing Gait Patterns In A Vertically Constrained Flapping Wing - Micro Air Vehicle,
2016
Wright State University
A Closed Loop Research Platform That Enables Dynamic Control Of Wing Gait Patterns In A Vertically Constrained Flapping Wing - Micro Air Vehicle, Hermanus Van Botha
Browse all Theses and Dissertations
Research in Flapping Wing - Micro Air Vehicles(FW-MAVs) has been growing in recent years. Work ranging from mechanical designs to adaptive control algorithms are being developed in pursuit of mimicking natural flight. FW-MAV technology can be applied in a variety of use cases such a military application and surveillance, studying natural ecological systems, and hobbyist commercialization. Recent work has produced small scale FW-MAVs that are capable of hovering and maneuvering. Researchers control maneuvering in various ways, some of which involve making small adjustments to the core wing motion patterns (wing gaits) which determine how the wings flap. Adaptive control algorithms …
Clustering: Methodology, Hybrid Systems, Visualization, Validation And Implementation,
2016
Missouri University of Science and Technology
Clustering: Methodology, Hybrid Systems, Visualization, Validation And Implementation, Dao Minh Lam
Doctoral Dissertations
"Unsupervised learning is one of the most important steps of machine learning applications. Besides its ability to obtain the insight of the data distribution, unsupervised learning is used as a preprocessing step for other machine learning algorithm. This dissertation investigates the application of unsupervised learning into various types of data for many machine learning tasks such as clustering, regression and classification. The dissertation is organized into three papers. In the first paper, unsupervised learning is applied to mixed categorical and numerical feature data type to transform the data objects from the mixed type feature domain into a new sparser numerical …
An Autoencoder-Based Image Descriptor For Image Matching And Retrieval,
2016
Wright State University
An Autoencoder-Based Image Descriptor For Image Matching And Retrieval, Chenyang Zhao
Browse all Theses and Dissertations
Local image features are used in many computer vision applications. Many point detectors and descriptors have been proposed in recent years; however, creation of effective descriptors is still a topic of research. The Scale Invariant Feature Transform (SIFT) developed by David Lowe is widely used in image matching and image retrieval. SIFT detects interest points in an image based on Scale-Space analysis, which is invariant to change in image scale. A SIFT descriptor contains gradient information about an image patch centered at a point of interest. SIFT is found to provide a high matching rate, is robust to image transformations; …
