Computer Engineering Commons^™

Parametric-Based Mobility For Providing Opportunistic Geocasting In Spatially Separated Wireless Sensor Networks, Selvi Ravindran, Narayanasamy Palanisamy, Vetriselvi Vetrian

Turkish Journal of Electrical Engineering and Computer Sciences

Uneven deployment and environment constraint leads to the formation of a spatially separated wireless sensor network (SS-WSN). Most of the traditional WSN architectures consist of static nodes that are densely deployed over a sensing area and are fully connected. SS-WSN is a group of disjoint subnetworks where connectivity is generally maintained by energy rich mobile nodes (ERMN), which roam about from one subnetwork to another. We propose an algorithm whereby the mobility of ERMN helps in distributing the geo message opportunistically in the region of interest. The routing consists of two phases: (1) transmission of the geo message from the …

Studies On The Application Of Wavelet Families For A High Impedance Fault Location Algorithm In A Distribution Network, Mohd Syukri Ali, Ab Halim Abu Bakar, Chia Kwang Tan, Hazlie Mokhlis, Hamzah Arof

Turkish Journal of Electrical Engineering and Computer Sciences

Detecting high impedance faults in a distribution network is a great challenge and locating one is even more challenging. This paper will present an enhanced high impedance fault location algorithm based on the database technique. This paper is an extension of a faulty section identification algorithm developed previously. However, in this paper, the performance of the previous algorithm is investigated first in terms of different sampling rate and window size. Then these parameters will be used as a standard parameter to study the effectiveness of different types of mother wavelets. Each mother wavelet will be used to extract important features …

Synchronous Subgraphs In Networks, Navita Jain

Legacy Theses & Dissertations (2009 - 2024)

Community detection is a central problem in network analysis. The majority of existing work defines communities as subsets of nodes that are structurally well-connected and isolated from the rest of the network. Apart from their underlying connectivity, nodes in real-world networks exhibit temporal activity: user posts in social networks, browsing activity on web pages and neuron activations in brain networks to name a few. While edges encode potential for community interactions, participation in the community can be quantified by synchronized member activity. Given both the network structure and individual node activity, how can we detect communities that are both well-connected …

An Integrated Analysis For Sustainable Supply Of Remote Winter Tourist Centers - A Future Concept Case Study, Ajla Merzic, Mustafa Music, Mirsad Rascic, Nijaz Hadzimejlic

Turkish Journal of Electrical Engineering and Computer Sciences

In every power system there are consumer areas away from traditional power networks. Existing grid expansion can always be treated as one of the ways of powering them over long transmission and distribution lines. This is often characterized by significant transmission losses, as well as significant investments, depending on the distance and the infrastructure development. On the other hand, there are cases when these consumers are not connected to the power system and use alternative methods of supply. For that matter, possible solutions may use locally available energy sources. In this paper, comparative analyses between independent power supply through particular …

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 …

Table Headers: An Entrance To The Data Mine, George Nagy, Sharad C. Seth

School of Computing: Conference and Workshop Papers

Algorithmic methods are demonstrated for information extraction from table header elements, including data categories and data hierarchies. The table headers are found with the Minimum Index Point Search algorithm. The header-path alignment and header completion algorithms yield database-ready table content and configuration statistics on a random sample of 400 diverse tables with ground truth and 1120 tables without ground truth from international statistical data sites.

Nsu College Engineering And Computing Curriculum 2016, Nova Southeastern University

College of Engineering and Computing Course Catalogs

No abstract provided.

Locality-Aware Dynamic Task Graph Scheduling, Jordyn Maglalang, Sriram Krishnamoorthy, Kunal Agrawal

All Computer Science and Engineering Research

Dynamic task graph schedulers automatically balance work across processor cores by scheduling tasks among available threads while preserving dependences. In this paper, we design NabbitC, a provably efficient dynamic task graph scheduler that accounts for data locality on NUMA systems. NabbitC allows users to assign a color to each task representing the location (e.g., a processor core) that has the most efficient access to data needed during that node’s execution. NabbitC then automatically adjusts the scheduling so as to preferentially execute each node at the location that matches its color—leading to better locality because the node is likely to make …

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 …

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.

Determining Unique Agents By Evaluating Web Form Interaction, Ben Cooley

College of Graduate Studies: Theses & Dissertations

Because of the inherent risks in today’s online activities, it becomes imperative to identify a malicious user masquerading as someone else. Incorporating biometric analysis enhances the confidence of authenticating valid users over the Internet while providing additional layers of security with no hindrance to the end user. Through the analysis of traffic patterns and HTTP Header analysis, the detection and early refusal of robot agents plays a great role in reducing fraudulent login attempts.

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 …

Adaptive Switched Capacitor Voltage Boost For Thermoelectric Generation, Rene A. Brito

Open Access Theses & Dissertations

Thermoelectric generators (TEG) and other forms of energy harvesting often provide voltages that are not directly usable by traditional electronics as levels are too low from the TEG. While increasing the number of thermoelectric elements can ultimately increase the power output, there is a tradeoff between size and power. By implementing charge pumps, a proposed circuit technique is described that can boost the TEG output to levels that can be used for energy harvesting applications. Current voltage boost circuits for TEGs simply boost a voltage by a set amount. The proposed circuit consists of an analog chip, to provide several …

Sparse Encoding Of Binocular Images For Depth Inference, Sheng Y. Lundquist, Dylan M. Paiton, Peter F. Schultz, Garrett T. Kenyon

Computer Science Faculty Publications and Presentations

Sparse coding models have been widely used to decompose monocular images into linear combinations of small numbers of basis vectors drawn from an overcomplete set. However, little work has examined sparse coding in the context of stereopsis. In this paper, we demonstrate that sparse coding facilitates better depth inference with sparse activations than comparable feed-forward networks of the same size. This is likely due to the noise and redundancy of feed-forward activations, whereas sparse coding utilizes lateral competition to selectively encode image features within a narrow band of depths.

Optimal Digital Control Of A Three-Phase Four-Leg Voltage Source Inverter, Ayhan Özdemi̇r, Zeki̇ye Erdem

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Internet-Based Multiuser In-Circuit Emulator Design For 8051 Microprocessors, Kubi̇lay Taşdelen, Aki̇f Kutlu

Turkish Journal of Electrical Engineering and Computer Sciences

A real-time, Internet-based 8051 microprocessor in-circuit emulator (MicroLabICE) was designed and run for microprocessor lessons for undergraduate and graduate programs of electrical, electronics, communication, and computer engineering. Users can run applications developed for the 8051 microprocessor online on a physical circuit not being limited to a specific time or place with the 8051 microprocessor in-circuit emulator (ICE). The programs prepared by users are transferred to the controller area network (CAN) through an online server and program the ICE experiment module. Codes loaded on the designed emulator experiment module are run step by step and values that 8051 microprocessor registers have …

Improving Efficiency In Deep Learning For Large Scale Visual Recognition, Baoyuan Liu

Electronic Theses and Dissertations

The emerging recent large scale visual recognition methods, and in particular the deep Convolutional Neural Networks (CNN), are promising to revolutionize many computer vision based artificial intelligent applications, such as autonomous driving and online image retrieval systems. One of the main challenges in large scale visual recognition is the complexity of the corresponding algorithms. This is further exacerbated by the fact that in most real-world scenarios they need to run in real time and on platforms that have limited computational resources. This dissertation focuses on improving the efficiency of such large scale visual recognition algorithms from several perspectives. First, to …

Towards Energy-Efficient And Reliable Computing: From Highly-Scaled Cmos Devices To Resistive Memories, Soheil Salehi Mobarakeh

Electronic Theses and Dissertations

The continuous increase in transistor density based on Moore's Law has led us to highly scaled Complementary Metal-Oxide Semiconductor (CMOS) technologies. These transistor-based process technologies offer improved density as well as a reduction in nominal supply voltage. An analysis regarding different aspects of 45nm and 15nm technologies, such as power consumption and cell area to compare these two technologies is proposed on an IEEE 754 Single Precision Floating-Point Unit implementation. Based on the results, using the 15nm technology offers 4-times less energy and 3-fold smaller footprint. New challenges also arise, such as relative proportion of leakage power in standby mode …

A Contextual Approach To Real Time, Interactive Narrative Generation, James Hollister

Electronic Theses and Dissertations

Oral story telling has become a lost art of family histories because social media and technology have taken over the personal interactions that once passed on the important stories and facts from generation to generation. This dissertation presents and evaluates a method of generating a narrative with input from the listener without actually forcing him or her to become an actual character in the narrative. This system is called CAMPFIRE Story Telling System (STS) and employs a contextual approach to story generation. This system uses the Cooperating Context Method (CCM) to generate and tell dynamic stories in real time and …

Developing New Power Management And High-Reliability Schemes In Data-Intensive Environment, Ruijun Wang

Electronic Theses and Dissertations

With the increasing popularity of data-intensive applications as well as the large-scale computing and storage systems, current data centers and supercomputers are often dealing with extremely large data-sets. To store and process this huge amount of data reliably and energy-efficiently, three major challenges should be taken into consideration for the system designers. Firstly, power conservation–Multicore processors or CMPs have become a mainstream in the current processor market because of the tremendous improvement in transistor density and the advancement in semiconductor technology. However, the increasing number of transistors on a single die or chip reveals a super-linear growth in power consumption …

Reactive Rejuvenation Of Cmos Logic Paths Using Self-Activating Voltage Domains, Navid Khoshavi Najafabadi

Electronic Theses and Dissertations

Aggressive CMOS technology scaling trends exacerbate the aging-related degradation of propagation delay and energy efficiency in nanoscale designs. Recently, power-gating has been utilized as an effective low-power design technique which has also been shown to alleviate some aging impacts. However, the use of MOSFETs to realize power-gated designs will also encounter aging-induced degradations in the sleep transistors themselves which necessitates the exploration of design strategies to utilize power-gating effectively to mitigate aging. In particular, Bias Temperature Instability (BTI) which occurs during activation of power-gated voltage islands is investigated with respect to the placement of the sleep transistor in the header …

Effects Of Computer Program Visualization Tools On Student Populations, Meghan Jayne Peterson

All Graduate Theses, Dissertations, and Other Capstone Projects

This study examined how program visualization tools affect Advanced Placement Computer Science students' understanding of abstract programming concepts. A literature review was conducted to determine if program visualization is effective and which students benefit from it the most. The findings were used to design a causal comparative study in which students would experience instruction with and without program visualization. The study took place in an AP Computer Science course during the first challenging unit about an abstract concept: loops. Participants (n = 24) were selected using convenience sampling and were assessed before, during, and after the study took place. While …

A New Dictionary-Based Preprocessor That Uses Radix-190 Numbering, Mete Eray Şenergi̇n, Erhan Ali̇ri̇za İnce

Turkish Journal of Electrical Engineering and Computer Sciences

Various scholarly works in the literature have pointed out that placing a preprocessor in front of a standard postcompressor would help achieve higher gains while compressing natural-language text files. Ever since, there has been much research on preprocessors to improve the gain attained by concatenated systems. With the same goal in mind our paper proposes a new word-based preprocessor named METEHAN190 (M190) and contrasts its performance with four other state-of-the-art preprocessors. Throughout the experiments source files from the Wall Street Journal (WSJ) archive, and the Calgary, Canterbury, Gutenberg, and Pizza and Chili corpora were used. Postcompressors adapted were Prediction by …

Lifetime Maximization Of Wireless Sensor Networks Using Particle Swarm Optimization, Aleem Kabeer Mir, Muhammad Zubair, Ijaz Mansoor Qureshi

Turkish Journal of Electrical Engineering and Computer Sciences

Wireless sensor networks have multiple applications in intelligent environment and structural monitoring. The major challenge in wireless sensor networks is the power constraint. This paper deals with minimizing the energy utilization of wireless sensor nodes and maximizing their overall life span. The objective of our proposed scheme is to find a method for grouping sensors into the maximum number of distinct sensor cover sets to totally monitor the required area. This problem can be solved by using the disjoint cover set problem. Present optimization techniques take much time and deliver unsatisfactory results in large-scale networks. This paper proposes a technique …

Understanding Home Networks With Lightweight Privacy-Preserving Passive Measurement, Xuzi Zhou

Theses and Dissertations--Computer Science

Homes are involved in a significant fraction of Internet traffic. However, meaningful and comprehensive information on the structure and use of home networks is still hard to obtain. The two main challenges in collecting such information are the lack of measurement infrastructure in the home network environment and individuals’ concerns about information privacy.

To tackle these challenges, the dissertation introduces Home Network Flow Logger (HNFL) to bring lightweight privacy-preserving passive measurement to home networks. The core of HNFL is a Linux kernel module that runs on resource-constrained commodity home routers to collect network traffic data from raw packets. Unlike prior …

Improving Fairness In Peer-To-Peer Networks By Separating The Role Of Seeders In Network Infrastructures, Alireza Naghizadeh

Turkish Journal of Electrical Engineering and Computer Sciences

No abstract provided.

Energy-Efficient And Environmentally Friendly Power Dispatch By Trigeneration With Renewable Energy And Energy Storage, Faisal Pazheri, Mohd Fauzi Othman, Nazar H. Malik, Abdulrehman Ali Al-Arainy

Turkish Journal of Electrical Engineering and Computer Sciences

The importance of energy-efficient power generation that effectively utilizes the available fossil fuels is increasing due to the gradual decline in fossil fuel reserves. Furthermore, concern about global warming has led to rapid growth in renewable energy and energy storage technologies. This trend is encouraging power utilities to effectively exploit the use of renewable energy resources (RESs) and energy storage facilities (ESFs) for power supply systems. In this regards, trigeneration in the presence of RESs and ESFs can play an important role for efficient and clean power dispatch. This paper discusses the optimum power dispatch using a hybrid power plant …

An Experimental Study Of Coarse-Grained Reconfigurable System-On-Chip-Based Software-Defined Radio, Janakiraman Nithiyanantham, Nirmal Kumar Palanisamy

Turkish Journal of Electrical Engineering and Computer Sciences

Software-defined radio (SDR) research deals with a mixture of hardware and software technologies, where RF operating parameters and components are to be set or altered by modifiable software or firmware. This paper describes the coarse-grained reconfigurable array (CGRA) implementations of SDR architecture. This architecture is an extension of traditional SDR in complex adaptation strategies, such as highly reliable communications and efficient utilization of the resources and spectrum upgrade, through its internal states (performance) and hardware architecture. The proposed CGRA-based SDR implementation is based on dynamic partial reconfiguration methodology, which has the capability of reusing the same hardware module to handle …

Low Budget Forensic Drive Imaging Using Arm Based Single Board Computers, Eric Olson, Narasimha Shashidhar

Journal of Digital Forensics, Security and Law

Traditional forensic analysis of hard disks and external media typically involves a powered down machine and “dead analysis” of these devices. Forensic acquisition of hard drives and external media has traditionally been by one of several means: standalone forensic duplicator; using a hardware write-blocker or dock attached to a laptop, computer, workstation, etc., forensic operating systems that live boot from a USB, CD/DVD or virtual machines with preinstalled operating systems. Standalone forensics acquisition and imaging devices generally cost thousands of dollars. In this paper, we propose the use of single board computers as forensic imaging devices. Single board computers can …

In-The-Wild Residual Data Research And Privacy, William B. Glisson, Tim Storer, Andrew Blyth, George Grispos, Matt Campbell

Journal of Digital Forensics, Security and Law

As the world becomes increasingly dependent on technology, researchers in both industry and academia endeavor to understand how technology is used, the impact it has on everyday life, the artifact life-cycle and overall integrations of digital information. In doing so, researchers are increasingly gathering 'real-world' or 'in-the-wild' residual data, obtained from a variety of sources, without the explicit consent of the original owners. This data gathering raises significant concerns regarding privacy, ethics and legislation, as well as practical considerations concerning investigator training, data storage, overall security and data disposal. This research surveys recent studies of residual data gathered in-the-wild and …