Engineering Commons^™

Biomanufacturing Through Igem-An International Student Competition, Asif Rahman, Ryan J. Putman, Neal Hengge, Charles D. Miller

Biological Engineering Faculty Publications

The foundations of synthetic biology are built on molecular biology and genetic engineering. One of the purposes of synthetic biology is to make biology easier to engineer by the creation of standardized biological parts and devices. There are a wide range of potential applications for synthetic biology and a variety of approaches to constructing parts and systems. Undergraduate Science, Technology, Engineering, and Mathematics (STEM) students from around the world apply synthetic biology principles at the annual International Genetically Engineered Machine (iGEM) competition to demonstrate functioning biological systems created from standardized parts. The iGEM competition will continue to add to the …

Qualitative Analysis Of Microbial Dynamics During Anaerobic Digestion Of Microalgal Biomass In A Uasb Reactor, Anna Doloman, Yousef Soboh, Andrew J. Walters, Ronald C. Sims, Charles D. Miller

Biological Engineering Faculty Publications

Anaerobic digestion (AD) is a microbiologically coordinated process with dynamic relationships between bacterial players. Current understanding of dynamic changes in the bacterial composition during the AD process is incomplete. The objective of this research was to assess changes in bacterial community composition that coordinates with anaerobic codigestion of microalgal biomass cultivated on municipal wastewater. An upflow anaerobic sludge blanket reactor was used to achieve high rates of microalgae decomposition and biogas production. Samples of the sludge were collected throughout AD and extracted DNA was subjected to next-generation sequencing using methanogen mcrA gene specific and universal bacterial primers. Analysis of the …

Research Area 3: Advanced Materials Joining, Vlsj Lab, Mechanical Engineering Department, Georgia Southern University

VLSJ Lab: Research Areas (Archived)

No abstract provided.

Multi-Time Scale Control Of Demand Flexibility In Smart Distribution Networks, Bishnu P. Bhattarai, Kurt S. Myers, Birgitte Bak-Jensen, Sumit Paudyal

Michigan Tech Publications, Part 1

This paper presents a multi-timescale control strategy to deploy electric vehicle (EV) demand flexibility for simultaneously providing power balancing, grid congestion management, and economic benefits to participating actors. First, an EV charging problem is investigated from consumer, aggregator, and distribution system operator’s perspectives. A hierarchical control architecture (HCA) comprising scheduling, coordinative, and adaptive layers is then designed to realize their coordinative goal. This is realized by integrating multi-time scale controls that work from a day-ahead scheduling up to real-time adaptive control. The performance of the developed method is investigated with high EV penetration in a typical residential distribution grid. The …

Design Of Electrical Layout Of Offshore Wind Farms, Shirshak K. Dhali, Mahidhar Nandigam

Electrical & Computer Engineering Faculty Publications

The cost and efficiency of offshore wind farms are determined by a variety of factors which include the type of electrical system (AC or DC), transmission length, transmission voltage, rated power, wind turbine type, farm topology, and wind speed. Since the design variable space is large for such problems, computational optimization is necessary to find an optimal solution. This paper discusses a design methodology to determine the optimal values of components to minimize the cost of an offshore wind farm. The cost, loss, reliability models, and the application of geometric programing for optimization of the layout and configuration of an …

Get Rid Of Your Student's Fear And Intimidation Of Learning A Programming Language, Christina Frederick, Matt B. Pierce, Andrew Calvin Griggs, Lulu Sun, Li Ding

Publications

Knowledge of computer programming is very beneficial and often required for engineering students. Unfortunately, students frequently experience fear and intimidation regarding introductory programming courses. Second language acquisition (SLA) techniques have shown promise as a means of content delivery in programming courses. Blended learning environments are also becoming increasingly popular in course frameworks. This workshop will discuss the application of second language acquisition in a blended learning environment (SLA-aBLe) and will examine the effectiveness of using SLA techniques to teach introductory programming. The proposed workshop will also share instructor experience(s), provide course materials, and review student outcomes from this two year …

Small Wins - Big Impact: Narratives From Behind The Scenes, Kelsey Joy Rodgers, James J. Pembridge, Leroy L. Long Iii, Matthew A. Verleger, Heidi Steinhauer

Publications

All instructors, administrators, and researchers that have engaged in the endeavor to teach, oversee, and/or transform first-year engineering courses have a story to tell about their successes and struggles. In this workshop, we use narrative inquiry to listen to participants’ stories about first-year engineering programs. Based on the analyses of these stories and deduced patterns, a few key struggles will be teased out to guide this interactive workshop. All participants will then further tell their stories of relevant experiences. Our goal is to address struggles and disseminate successes with first-year engineering programs for adoption and adaptation. Our goal is that …

Fabrication Of Flexible, Biofunctional Architectures From Silk Proteins, Ramendra K. Pal

Theses and Dissertations

Advances in the biomedical field require functional materials and processes that can lead to devices that are biocompatible, and biodegradable while maintaining high performance and mechanical conformability. In this context, a current shift in focus is towards natural polymers as not only the structural but also functional components of such devices. This poses material-specific functionalization and fabrication related questions in the design and fabrication of such systems. Silk protein biopolymers from the silkworm show tremendous promise in this regard due to intrinsic properties: mechanical performance, optical transparency, biocompatibility, biodegradability, processability, and the ability to entrap and stabilize biomolecules. The unique …

Renewable Carbon From Lignin Biomass And Its Electrode And Catalyst Applications In Batteries, Supercapacitors, And Fuel Cells, Muslum Demir

Theses and Dissertations

Over the last century, almost all of the carbon materials developed for the energy industry are derived from fossil fuels. The growing global concerns about energy needs, fossil fuels consumption, and the related environmental issues have motived scientists to find new, green and sustainable energy resources such as the wind, solar and biomass energy. Essentially, biomass-derived materials can be utilized in energy storage and conversion devices such as Li-ion batteries, fuel cells, and supercapacitors. Among the biomass resources, lignin is a high volume byproduct from the pulp and paper industry and is currently burned to generate electricity and steam. The …

Photoelectrochemical Cell Constructed From Bby Membrane With Various Substrate Materials, Yang Liu

Theses and Dissertations

Photoelectrochemical cells have been intensively studied in recent years with regard to using thylakoid and photosynthesis system I/II. BBY membrane is another protein complex that has potential to be utilized to build photoelectrochemical cells. Within the BBY membrane lies the highly active photosynthesis system II complex, which upon light activation, generates electrons transported within the electron transport chain during photosynthesis in green plants. This study presents an approach of immobilizing thylakoid or BBY membrane onto gold nanoparticle modified gold plate or multi-walled carbon nanotube (MWCNT) modified indium tin oxide vi (ITO) coated glass substrate. The results show that BBY membrane …

Tuning Optimization Software Parameters For Mixed Integer Programming Problems, Toni P. Sorrell

Theses and Dissertations

The tuning of optimization software is of key interest to researchers solving mixed integer programming (MIP) problems. The efficiency of the optimization software can be greatly impacted by the solver’s parameter settings and the structure of the MIP. A designed experiment approach is used to fit a statistical model that would suggest settings of the parameters that provided the largest reduction in the primal integral metric. Tuning exemplars of six and 59 factors (parameters) of optimization software, experimentation takes place on three classes of MIPs: survivable fixed telecommunication network design, a formulation of the support vector machine with the ramp …

Improving The Performance And Time-Predictability Of Gpus, Yijie Huangfu

Theses and Dissertations

Graphic Processing Units (GPUs) are originally mainly designed to accelerate graphic applications. Now the capability of GPUs to accelerate applications that can be parallelized into a massive number of threads makes GPUs the ideal accelerator for boosting the performance of such kind of general-purpose applications. Meanwhile it is also very promising to apply GPUs to embedded and real-time applications as well, where high throughput and intensive computation are also needed.

However, due to the different architecture and programming model of GPUs, how to fully utilize the advanced architectural features of GPUs to boost the performance and how to analyze the …

Investigation Of Polymeric Composites For Controlled Drug Release, Hsi-Wei Yeh

Theses and Dissertations

The Electrospray (ES) technique is a promising particle generation method for drug delivery due to its capabilities of producing monodisperse PLGA composite particles with unique configurations and high drug encapsulation efficiency. In the dissertation work, the coaxial dual capillary ES was used to generate drug-loaded core-shell PLGA particles to study the effects of particle filling materials, drug loading locations and particle shell thicknesses on the resultant in vitro release behaviors of the hydrophilic and/ or hydrophobic model drugs. Through release profile characterization of drug-loaded PLGA particles (particle size: 400 nm and 1 μm), it was confirmed that the co-encapsulation of …

A New Formulation Of Time Boundary Integral Equation For Acoustic Wave Scattering In The Presence Of A Uniform Mean Flow, Fang Q. Hu, Michelle E. Pizzo, Douglas M. Nark

Mathematics & Statistics Faculty Publications

It has been well-known that under the assumption of a constant uniform mean flow, the acoustic wave propagation equation can be formulated as a boundary integral equation, in both the time domain and the frequency domain. Compared with solving partial differential equations, numerical methods based on the boundary integral equation have the advantage of a reduced spatial dimension and, hence, requiring only a surface mesh. However, the constant uniform mean flow assumption, while convenient for formulating the integral equation, does not satisfy the solid wall boundary condition wherever the body surface is not aligned with the uniform mean flow. In …

A High Performance Hysteresis Current Control Of A Permanent Magnet Synchronous Motor Drive, Cosmas Ogbuka, Cajethan Nwosu, Marcel Agu

Turkish Journal of Electrical Engineering and Computer Sciences

A high performance hysteresis current control of a permanent magnet synchronous motor (PMSM) drive is developed in this paper. The core advantage of field orientation control (FOC) is utilized to separate the flux and torque control components of the stator current of the PMSM. Specifically, the objectives of this work are to develop and utilize the HCC algorithm for FOC of a complete closed-loop speed-controlled PMSM drive system, optimize the control algorithm to obtain fast speed response while maintaining effective current and torque tracking, and examine the hysteresis current control action clearly showing the inverter switching and the effects of …

Comparison Of Group Key Establishment Protocols, Serap Şahi̇n, Rabi̇a Aslanoğlu

Turkish Journal of Electrical Engineering and Computer Sciences

Recently group-oriented applications over unsecure open networks such as Internet or wireless networks have become very popular. Thus, group communication security over unsecure open networks has become a vital concern. Group key establishment (GKE) protocols are used to satisfy the confidentiality requirement of a newly started communication session by the generation or sharing of an ephemeral common key between the group members. In this study, we analyze the computation and communication efficiency of GKE protocols. Besides confidentiality, the security characteristics of identification and integrity control are also required for all steps of the protocol implementations. Thus, the main contribution of …

Robust Adaptive Fuzzy Control Of A Three-Phase Active Power Filter Based On Feedback Linearization, Shixi Hou, Juntao Fei

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a robust adaptive fuzzy control system using feedback linearization is proposed for a three-phase active power filter (APF). The APF system is divided into two separate loops: the current dynamic inner loop and the DC voltage dynamic outer loop. Adaptive fuzzy tracking control using feedback linearization is employed for the current dynamic inner loop to overcome the drawbacks of the conventional method. The proposed controller can ensure proper tracking of the reference current and impose desired dynamic behavior, giving robustness and insensitivity to parameter variations. Adaptive fuzzy proportional-integral control is applied to the DC voltage dynamics outer …

Novel Scheduling Algorithm For Optimizing Real-Time Multimedia Performance In Long Term Evolution-Advanced, Huda Adibah Mohd Ramli, Zairi Ismael Rizman

Turkish Journal of Electrical Engineering and Computer Sciences

Real-time multimedia applications are becoming increasingly popular among mobile cellular users. Given that Long Term Evolution-Advanced (LTE-A), which is an emerging mobile cellular standard, needs to support these multimedia applications, packet scheduling is of paramount importance in LTE-A. This paper proposes a packet scheduling algorithm known as novel scheduling for usage in the downlink of LTE-A. It takes channel quality, average throughput, and packet delay into account when determining the priority of each user. Simulation results demonstrate the efficacy of the proposed algorithm in optimizing real-time multimedia performance for more mobile cellular users.

Sotarm: Size Of Transaction-Based Association Rule Mining Algorithm, Asha Pandian, Jebarajan Thaveethu

Turkish Journal of Electrical Engineering and Computer Sciences

Mining of association rules tries to identify the existence of promising and fruitful relations among the items present in a database. The basic a priori algorithm suffers from multiple database scans, and if the database is large, then the time taken for scanning and generation of candidates is also large. The proposed algorithm attempts to reduce the repeated scanning of the whole database. Using this algorithm, scanning time and also the generation of subitems that are not frequent can be reduced. The former can be done by sorting the transaction records in descending order based on the size of transaction …

Exploiting Kernel-Based Feature Weighting And Instance Clustering To Transfer Knowledge Across Domains, Jafar Tahmoresnezhad, Sattar Hashemi

Turkish Journal of Electrical Engineering and Computer Sciences

Learning invariant features across domains is of vital importance to unsupervised domain adaptation, where classifiers trained on the training examples (source domain) need to adapt to a different set of test examples (target domain) in which no labeled examples are available. In this paper, we propose a novel approach to find the invariant features in the original space and transfer the knowledge across domains. We extract invariant features of input data by a kernel-based feature weighting approach, which exploits distribution difference and instance clustering to find desired features. The proposed method is called the kernel-based feature weighting (KFW) approach and …

A Hybrid Maco And Bfoa Algorithm For Power Loss Minimization And Total Cost Reduction In Distribution Systems, Muthubalaji Sankaramoorthy, Malathi Veluchamy

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents a multiobjective optimization methodology to optimally place a STATCOM in electric power distribution networks. The combination of multiobjective ant colony optimization (MACO) and the bacterial foraging optimization algorithm (BFOA) is proposed to minimize the power loss and total cost. The main intention of this analysis is to optimally place the STATCOM at multiple locations such as the transmission side, middle, and load side. Identifying the type and location of the STATCOM is a combinatorial optimization problem in power systems. In order to overcome this problem, the combination of hybrid MACO and BFOA algorithms is applied in this …

An Intelligent Approach In Delay Tolerant Network Routing, Azadeh Omidvar, Karim Mohammadi

Turkish Journal of Electrical Engineering and Computer Sciences

Delay tolerant networks (DTNs) are wireless intermittent networks. DTNs have different applications such as wildlife tracking, military, and space searching. Conventional mobile ad hoc network (MANET) routing protocols are not efficient in these networks because of intermittency. DTNs use store-carry-forward (SCF) for data transferring. In SCF, nodes store the messages and carry them until finding appropriate nodes for forwarding. Message replication greatly helps to improve the delivery ratio while increasing overhead. This paper examines the use of intelligent routing to choose nodes that have more probability to reach their destination. This will help to increase the message delivery ratio while …

Implementation Of Svc Based On Grey Theory And Fuzzy Logic To Improve Lvrt Capability Of Wind Distributed Generations, Mohammad Mehdi Karami, Akbar Itami

Turkish Journal of Electrical Engineering and Computer Sciences

Due to the great absorption of reactive power after voltage drops caused by faults in network, the low-voltage ride through (LVRT) capability of squirrel cage induction generators (SCIGs) in wind farms is a great challenge. If a static VAR compensator (SVC) is installed at the point of common coupling (PCC) of a wind farm with a main network, it can improve the wind generation's LVRT capability with reactive power compensation. In the voltage control loop of a conventional SVC, the voltage actual value of the PCC is compared with the reference voltage value. This paper presents a method for implementation …

A New Efficient Block Matching Data Hiding Method Based On Scanning Order Selection In Medical Images, Turgay Aydoğan, Cüneyt Bayilmiş

Turkish Journal of Electrical Engineering and Computer Sciences

Digital technology and the widespread use of the Internet has increased the speeds at which digital data can be obtained and shared in daily life. In parallel to this, there are important concerns regarding the confidentiality of private data during data transmissions and the possibility that data might fall into the hands of third parties. Issues relating to data safety can also affect patients' medical images and other information relating to these images. In this study, we propose a new method based on block matching that can be used to hide the patient information in medical images. In this method, …

Adaptive Control Of Pure-Feedback Systems In The Presence Of Parametric Uncertainties, Mehrnoosh Asadi, Heydar Toossian Shandiz

Turkish Journal of Electrical Engineering and Computer Sciences

The purpose of this study is to investigate an adaptive control approach for completely nonaffine pure-feedback systems with linear/nonlinear parameterization. In this approach, the parameter separation technique and the idea of the positive function of linearly connected parameters are coupled effectively with the combination of backstepping and time-scale separation. Subsequently, a fast dynamical equation is derived from the original subsystem, where the solution is sought to approximate the corresponding ideal virtual/actual control inputs. Furthermore, the adaptation law of unknown parameters can be derived based on Lyapunov theory in the backstepping technique and there is no need to design a state …

Design Of A Three-Phase Multistage Axial Flux Permanent Magnet Generator For Wind Turbine Applications, Muhammad Mansoor Ashraf, Tahir Nadeem Malik

Turkish Journal of Electrical Engineering and Computer Sciences

Presently, axial flux permanent magnet machines are becoming popular and are being deployed actively for low speed applications. This paper presents an improved model of a multistage axial flux permanent magnet generator (AFPMG). The multistage AFPMG consists of multiple stator and rotor discs. There are three identical 1-phase stator discs and four in-phase rotor discs in the proposed multistage AFPMG. In this research, 4 case studies were analyzed on the design of the multistage AFPMG. First, a phase shift model (PSM) positions the three 1-phase stator discs to behave as a 3-phase generator. Actually, the PSM computes phases for three …

Transmission Power Control Using State Estimation-Based Received Signal Strength Prediction For Energy Efficiency In Wireless Sensor Networks, Ramakrishnan Sabitha, Krishna Bhuma, Thangavelu Thyagarajan

Turkish Journal of Electrical Engineering and Computer Sciences

In battery-operated wireless sensor networks, the quality of service requirements such as throughput and energy efficiency must be stringently maintained while the least amount of energy is consumed. Since a major portion of energy is spent by the transceiver operations, transmission power control (TPC) in the medium access control (MAC) layer can bring about considerable energy efficiency. Since TPC algorithms will have a direct impact on the received signal strength index (RSSI) at the receiver, RSSI is the primary input parameter for any TPC algorithm. The objective of the proposed work is to decide on the exact value of transmission …

A New Approach For Digital Image Watermarking To Predict Optimal Blocks Using Artificial Neural Networks, Raheleh Khorsand Movaghar, Hossein Khaleghi Bizaki

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, we propose a novel nonblind digital image watermarking based on discrete wavelet transform and singular value decomposition. This robust scheme takes advantage of artificial neural networks for selecting suitable image blocks in which the watermark signal can be embedded. Local characteristics of the blocks such as luminance and texture sensitivity are the main criteria that the selections are based on. Generally, selection is based on a prediction of the results with the objective of transparency and watermark resilience. In other words, before embedding the water mark signal, it is estimated which blocks would be the best for …

Mutual Correlation Of Nist Statistical Randomness Tests And Comparison Of Their Sensitivities On Transformed Sequences, Ali̇ Doğanaksoy, Fati̇h Sulak, Muhi̇ddi̇n Uğuz, Okan Şeker, Zi̇ya Akcengi̇z

Turkish Journal of Electrical Engineering and Computer Sciences

Random sequences are widely used in many cryptographic applications and hence their generation is one of the main research areas in cryptography. Statistical randomness tests are introduced to detect the weaknesses or nonrandom characteristics that a sequence under consideration may have. In the literature, there exist various statistical randomness tests and test suites, defined as a collection of tests. An efficient test suite should consist of a number of uncorrelated statistical tests each of which measures randomness from another point of view. `Being uncorrelated' is not a well-defined or well-understood concept in the literature. In this work, we apply Pearson's …

Hadoop Framework Implementation And Performance Analysis On A Cloud, Göksu Zeki̇ye Özen, Mehmet Tekerek, Rayi̇mbek Sultanov

Turkish Journal of Electrical Engineering and Computer Sciences

The Hadoop framework uses the MapReduce programming paradigm to process big data by distributing data across a cluster and aggregating. MapReduce is one of the methods used to process big data hosted on large clusters. In this method, jobs are processed by dividing into small pieces and distributing over nodes. Parameters such as distributing method over nodes, the number of jobs held in a parallel fashion, and the number of nodes in the cluster affect the execution time of jobs. The aim of this paper is to determine how the numbers of nodes, maps, and reduces affect the performance of …