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Articles 51151 - 51180 of 197010
Full-Text Articles in Engineering
Robust Image Hashing Based On Structural And Perceptual Features Forauthentication Of Color Images, Muhammad Farhan Khan, Syed Muhammad Monir, Imran Naseem
Robust Image Hashing Based On Structural And Perceptual Features Forauthentication Of Color Images, Muhammad Farhan Khan, Syed Muhammad Monir, Imran Naseem
Turkish Journal of Electrical Engineering and Computer Sciences
Image hashing is one of the most celebrated techniques regarding the discipline of image forensics, imageretrieval, image indexing, content verification, and zero watermarking. For such sensitive and complex problems,generation of a unique and robust image hash is an utmost prerequisite for an image identifier driven from the perceptualcontents of an image. As a design perspective, it is essential for an image hash to have robustness and optimizeddiscriminative capability. We propose a robust image hashing technique by acquiring perceptual features based on anovel distance magnitude profile utilizing color pixel incongruity among the contiguous pixels, as well as producing astructural image for …
Dynamic Distributed Trust Management Scheme For The Internet Of Things, Syed Wasif Abbas Hamdani, Abdul Waheed Khan, Naima Iltaf, Javed Iqbal Bangash, Yawar Abbas Bangash, Asfandyar Khan
Dynamic Distributed Trust Management Scheme For The Internet Of Things, Syed Wasif Abbas Hamdani, Abdul Waheed Khan, Naima Iltaf, Javed Iqbal Bangash, Yawar Abbas Bangash, Asfandyar Khan
Turkish Journal of Electrical Engineering and Computer Sciences
The Internet of Things (IoT) comprises of a diverse network of homogeneous and heterogeneous nodesthat can be accessed through network ubiquitously. In unattended environments, the IoT devices are prone to variousattacks including ballot-stu?ing, bad-mouthing, self-promotion, on-off, opportunistic behavior attacks, etc. The on-offattack is di?icult to detect as nodes switch their behavior from normal to malicious alternatively. A trust managementmodel is a tool to defend the IoT system against malicious activities and provide reliable data exchange. The majorityof existing IoT trust management techniques are based on static reward and punishment values in pursuit of trustcomputation thereby allowing the misbehaving nodes to …
Sliding Mode Pll-Pdm Controller For Induction Heating System, Harun Özbay, Aki̇f Karafi̇l, Seli̇m Öncü
Sliding Mode Pll-Pdm Controller For Induction Heating System, Harun Özbay, Aki̇f Karafi̇l, Seli̇m Öncü
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, a sliding mode controlled phase locked loop (SMC-PLL) was developed for induction heating(IH) applications with a resonant inverter. PLL applications are widely used in induction heating applications to achievezero voltage switching and zero current switching. In many PLL applications, the frequency tracking is too slow andunreliable. Therefore, a sliding mode controller was developed to provide robust and fast PLL. Furthermore, a pulsedensity modulation (PDM) control strategy was developed to work at the resonant frequency for all power levels. ThePDM power control is a good solution for the design of high-frequency inverters because of a great reduction of …
An Efficient Deep Learning Based Fog Removal Model For Multimedia Applications, Gaurav Saxena, Sarita Singh Bhadauria
An Efficient Deep Learning Based Fog Removal Model For Multimedia Applications, Gaurav Saxena, Sarita Singh Bhadauria
Turkish Journal of Electrical Engineering and Computer Sciences
In the present era of technology, several applications such as surveillances systems, security and object recognitions mainly depend on the contents of an image. In this context, the hazy/foggy environment and/or other adverse climatic conditions degrade the image contents that severely influences the result of related applications. The effective haze removal from a single image decides the reliability of these systems. The convolutional neural network (CNN) based techniques are widely used among the available image dehazing methods. However, in CNN based image dehazing techniques, the robustness and accuracy of the learning models are based on the improvement of transmission estimation …
Determining And Evaluating New Store Locations Using Remote Sensing Andmachine Learning, Berkan Höke, Zeynep Zerri̇n Turgay, Cem Ünsalan, Hande Küçükaydin
Determining And Evaluating New Store Locations Using Remote Sensing Andmachine Learning, Berkan Höke, Zeynep Zerri̇n Turgay, Cem Ünsalan, Hande Küçükaydin
Turkish Journal of Electrical Engineering and Computer Sciences
Decision making for store locations is crucial for retail companies as the profit depends on the location. The key point for correct store location is profit approximation, which is highly dependent on population of the corresponding region, and hence, the volume of the residential area. Thus, estimating building volumes provides insight about the revenue if a new store is about to be opened there. Remote sensing through stereo/tri-stereo satellite images provides wide area coverage as well as adequate resolution for three dimensional reconstruction for volume estimation. We reconstruct 3D map of corresponding region with the help of semiglobal matching and …
A New Design Algorithm For The Pmhs Motor Considering The Combination Ratio, Ali Behniafar, Ahmad Darabi
A New Design Algorithm For The Pmhs Motor Considering The Combination Ratio, Ali Behniafar, Ahmad Darabi
Turkish Journal of Electrical Engineering and Computer Sciences
Recently, the hysteresis motors have a special significance in the nuclear industries. This is because these motors have some advantages such as low noise, high mechanical strength and group feeding ability. They also have some disadvantages that make some limitations for related industries. These disadvantages include low synchronization torque, low power factor, low efficiency, and hunting. One solution to reduce these disadvantages is to combine the hysteresis motor with the PM motor. This however requires a correct and flexible design procedure as well as an appropriate choice of the machine structure. Accordingly, this paper aims to present a new design …
Visual Object Detection For Autonomous Transport Vehicles In Smart Factories, Nazlican Gengeç, Onur Eker, Hakan Çevi̇kalp, Ahmet Yazici, Hasan Serhan Yavuz
Visual Object Detection For Autonomous Transport Vehicles In Smart Factories, Nazlican Gengeç, Onur Eker, Hakan Çevi̇kalp, Ahmet Yazici, Hasan Serhan Yavuz
Turkish Journal of Electrical Engineering and Computer Sciences
Autonomous transport vehicles (ATVs) are one of the most substantial components of smart factories of Industry 4.0. They are primarily considered to transfer the goods or perform some certain navigation tasks in the factory with self driving. The recent developments on computer vision studies allow the vehicles to visually perceive the environment and the objects in the environment. There are numerous applications especially for smart traffic networks in outdoor environments but there is lack of application and databases for autonomous transport vehicles in indoor industrial environments. There exist some essential safety and direction signs in smart factories and these signs …
Field-Programmable Gate Array (Fpga) Hardware Design And Implementation Ofa New Area Efficient Elliptic Curve Crypto-Processor, Muhammad Kashif, İhsan Çi̇çek
Field-Programmable Gate Array (Fpga) Hardware Design And Implementation Ofa New Area Efficient Elliptic Curve Crypto-Processor, Muhammad Kashif, İhsan Çi̇çek
Turkish Journal of Electrical Engineering and Computer Sciences
Elliptic curve cryptography provides a widely recognized secure environment for information exchange in resource-constrained embedded system applications, such as Internet-of-Things, wireless sensor networks, and radio frequency identification. As the elliptic-curve cryptography (ECC) arithmetic is computationally very complex, there is a need for dedicated hardware for efficient computation of the ECC algorithm in which scalar point multiplication is the performance bottleneck. In this work, we present an ECC accelerator that computes the scalar point multiplication for the NIST recommended elliptic curves over Galois binary fields by using a polynomial basis. We used the Montgomery algorithm with projective coordinates for the scalar …
A Hybrid Technique Using Modified Icp Algorithm For Faster And Automatic 2d &3d Microscopic Image Stitching In Cytopathologic Examination, Hülya Doğan, Eli̇f Baykal Kablan, Murat Eki̇nci̇, Mustafa Emre Erci̇n, Şafak Ersöz
A Hybrid Technique Using Modified Icp Algorithm For Faster And Automatic 2d &3d Microscopic Image Stitching In Cytopathologic Examination, Hülya Doğan, Eli̇f Baykal Kablan, Murat Eki̇nci̇, Mustafa Emre Erci̇n, Şafak Ersöz
Turkish Journal of Electrical Engineering and Computer Sciences
Due to the limitations of the light microscopic system such as limited depth of field and narrow field of view, entire sample areas are invisible and pathologists move the light microscope stage along the X - Y - Z axes with eye-hand coordination. In order to reduce the dependence on the pathologist and to allow whole sample areas to be examined in a short time without any control (without eye-hand coordination), this study creates 2D & 3D panoramic images with wide-view of sample in the light microscopic systems. According to our literature research, there is no study that creates 2D …
Performance Evaluation Of Hht And Wt For Detection Of Hif And Ct Saturationin Smart Grids, Saeid Heidari, Saeed Asgharigovar, Pouya Pourghasem, Heresh Seyedi, Ömer Usta
Performance Evaluation Of Hht And Wt For Detection Of Hif And Ct Saturationin Smart Grids, Saeid Heidari, Saeed Asgharigovar, Pouya Pourghasem, Heresh Seyedi, Ömer Usta
Turkish Journal of Electrical Engineering and Computer Sciences
Hilbert-Huang transform (HHT), continuous wavelet transform (CWT) and discrete wavelet transform (DWT) are well-known signal processing methods that are widely utilized for feature extraction and fault detection by protection systems in smart grids. In this paper, we assess the performances of these methods encountering challenging situations in distribution networks, i.e. high impedance arcing fault (HIF) and current transformer (CT) saturation. Low fault current amplitude in HIF case causes the overcurrent protection, which is the predominant protection method in distribution grids, to fail. Furthermore, some faults may lead to CT saturation, which may result in delayed operation of the relay. To …
Prediction Of Long-Term Physical Properties Of Low Density Polyethylene (Ldpe)Cable Insulation Materials By Artificial Neural Network Modeling Approach Underenvironmental Constraints, Ferhat Slimani, Abdallah Hedir, Mustapha Moudoud, Ali̇ Durmuş, Mounir Amir, Mohamed Megherbi
Prediction Of Long-Term Physical Properties Of Low Density Polyethylene (Ldpe)Cable Insulation Materials By Artificial Neural Network Modeling Approach Underenvironmental Constraints, Ferhat Slimani, Abdallah Hedir, Mustapha Moudoud, Ali̇ Durmuş, Mounir Amir, Mohamed Megherbi
Turkish Journal of Electrical Engineering and Computer Sciences
This study quantifies long-term physical properties of low density polyethylene (LDPE) cables insulations exposed to environmental constraints such as UV radiation and temperature via both experimental measurements and mathematical modeling approach. For this purpose, tensile test and electrical breakdown test were carried out to determine elongation at break, tensile strength, and dielectric strength of unaged and aged specimens, respectively. Experimental results showed that both UV and temperature exposures affected the LDPE properties, significantly. A supervised artificial neural network (ANN) trained by the Levenberg?Marquardt algorithm was designed for predicting the long-term characteristics of specimens and also for minimizing the experimental procedures. …
A New Distributed Anomaly Detection Approach For Log Ids Management Based Ondeep Learning, Murat Koca, Muhammed Ali̇ Aydin, Ahmet Sertbaş, Abdül Hali̇m Zai̇m
A New Distributed Anomaly Detection Approach For Log Ids Management Based Ondeep Learning, Murat Koca, Muhammed Ali̇ Aydin, Ahmet Sertbaş, Abdül Hali̇m Zai̇m
Turkish Journal of Electrical Engineering and Computer Sciences
Today, with the rapid increase of data, the security of big data has become more important than ever for managers. However, traditional infrastructure systems cannot cope with increasingly big data that is created like an avalanche. In addition, as the existing database systems increase licensing costs per transaction, organizations using information technologies are shifting to free and open source solutions. For this reason, we propose an anomaly attack detection model on Apache Hadoop distributed file system (HDFS), which stands out in open source big data analytics, and Apache Spark, which stands out with its speed performance in analysis to reduce …
Learning Prototypes For Multiple Instance Learning, Özgür Emre Si̇vri̇kaya, Mert Yüksekgönül, Mustafa Gökçe Baydoğan
Learning Prototypes For Multiple Instance Learning, Özgür Emre Si̇vri̇kaya, Mert Yüksekgönül, Mustafa Gökçe Baydoğan
Turkish Journal of Electrical Engineering and Computer Sciences
Multiple instance learning (MIL) is a weakly supervised learning method that works on the labeled bag of instances data. A prototypical network is a popular embedding approach in MIL. They overcome the common problems that other MIL approaches may have to deal with including dimensionality, loss of instance-level information, and complexity. They demonstrate competitive performance in classification. This work proposes a simple model that provides a permutation invariant prototype generator from a given MIL data set. We aim to find out prototypes in the feature space to map the collection of instances (i.e. bags) to a distance feature space and …
Inter-Microgrid Operation: Power Sharing, Frequency Restoration, Seamless Reconnection And Stability Analysis, Sandipan Patra
Inter-Microgrid Operation: Power Sharing, Frequency Restoration, Seamless Reconnection And Stability Analysis, Sandipan Patra
Doctoral
Electrification in the rural areas sometimes become very challenging due to area accessibility and economic concern. Standalone Microgrids (MGs) play a very crucial role in these kinds of a rural area where a large power grid is not available. The intermittent nature of distributed energy sources and the load uncertainties can create a power mismatch and can lead to frequency and voltage drop in rural isolated community MG. In order to avoid this, various intelligent load shedding techniques, installation of micro storage systems and coupling of neighbouring MGs can be adopted. Among these, the coupling of neighbouring MGs is the …
An Empirical Analysis To Control Product Counterfeiting In The Automotive Industry's Supply Chains In Pakistan, Saad Akhter Jaffery
An Empirical Analysis To Control Product Counterfeiting In The Automotive Industry's Supply Chains In Pakistan, Saad Akhter Jaffery
Doctoral
The counterfeits pose significant health and safety threat to consumers. The quality image of firms is vulnerable to the damage caused by the expanding flow of counterfeit products in today’s global supply chains. The counterfeiting markets are swelling due to globalization and customers’ willingness to buy counterfeits, fueling illicit activities to explode further. Buyers look for the original parts are deceived by the false (deceptive) signals’ communication. The counterfeiting market has become a multi-billion industry but lacks detailed insights into the supply side of counterfeiting (deceptive side). The study aims to investigate and assess the relationship between the anti-counterfeiting strategies …
Specifically Adsorbed Ions In Hematite Flotation, Natalia Parra Alvarez
Specifically Adsorbed Ions In Hematite Flotation, Natalia Parra Alvarez
Dissertations, Master's Theses and Master's Reports
Specifically adsorbed ions, such as calcium and magnesium in iron ore flotation, are ions that can chemically bind with the mineral surfaces and alter the surface properties. Calcium and magnesium are unavoidable in process water and their concentrations are increasing due to water recirculation and reagent additions. These ions are detrimental to the flotation process. Calcium has always been the main focus in research, yet we found that magnesium is more detrimental in flotation due to its smaller atomic size. Starch adsorption in iron ore flotation is key for the effective depression of hematite. It has been determined by flotation, …
Analyzing Variation In Dispersoid Formation In Aluminum Alloys By Minor Changes In Homogenization Temperature, Brendan Treanore
Analyzing Variation In Dispersoid Formation In Aluminum Alloys By Minor Changes In Homogenization Temperature, Brendan Treanore
Dissertations, Master's Theses and Master's Reports
The homogenization of billets in the aluminum extrusion industry is a critical step that removes chemical segregation from casting, dissolves low melting point phases, forms nanoscale dispersoid phases, and promotes the beta to alpha transformation of iron particles in the matrix. With ever increasing use of aluminum extrusion in the automotive industry there is a constant need for increased efficiency and consistency in processing of extruded aluminum. The work in this thesis explores the effects of 10°C differences in the homogenization temperature on the formation of dispersoids in 6082 alloys used in the automotive industry. The role of dispersoids is …
Automated Waterloo Rubric For Concept Map Grading, Shresht Bhatia, Sajal Bhatia, Irfan Ahmed
Automated Waterloo Rubric For Concept Map Grading, Shresht Bhatia, Sajal Bhatia, Irfan Ahmed
School of Computer Science & Engineering Faculty Publications
Concept mapping is a well-known pedagogical tool to help students organize, represent, and develop an understanding of a topic. The grading of concept maps is typically manual, time-consuming, and tedious, especially for a large class. Existing research mostly focuses on topological scoring based-on structural features of concept maps. However, the scoring does not achieve comparable accuracy to well-defined rubrics for manual analysis on the quality of content in a concept map. This paper presents Kastor, a new method to automate the Waterloo Rubric of scoring concept maps by quantifying the rubric’s quality assessment parameters. The evaluation is performed on a …
Tensile Environment Chamber, Cameron Ngai, Trent Hamilton, Mitchell Carroll, Jack Molitor
Tensile Environment Chamber, Cameron Ngai, Trent Hamilton, Mitchell Carroll, Jack Molitor
Mechanical Engineering
This project created the heating system, cooling system, and control system for an environmental chamber for a tensile test machine in the Cal Poly Composites Lab. This chamber allows for students to test material properties under a variety of thermal conditions. This project was done in collaboration with a team working on the structural aspect of the chamber. While consumer environmental chambers are on the market, they often cost more than $50,000. Additionally, our chamber conforms to further size and weight constraints. Because of this constraint, many conventional techniques and components used for these chambers are not feasible for our …
Dual Motor Drive System For Formula Sae Electric Race Car, Bryan D. Neill, Jackson T. Mcfaul, Cole T. Andrews, Isaiah D. Penzell
Dual Motor Drive System For Formula Sae Electric Race Car, Bryan D. Neill, Jackson T. Mcfaul, Cole T. Andrews, Isaiah D. Penzell
Mechanical Engineering
This paper serves as the Final Design Report (FDR) for the senior project developed by our team. This FDR builds on our CDR, in which the main deliverable was the detailed design of a planetary gearbox delivering a 5:1 reduction to be mated to an Emrax 188 motor. This planetary gearbox would allow for the possibility of implementing a dual-motor torque-vectoring rear-wheel-drive system in Cal Poly Racing’s electric FSAE car, which has demonstrated in simulation to yield significant performance gain over the current single motor/mechanical LSD system. As this project’s scope is purely mechanical, the intent is for the Cal …
Wind Tunnel Data Acquisition System Development Using Labview, Riley Bishop
Wind Tunnel Data Acquisition System Development Using Labview, Riley Bishop
Mahurin Honors College Capstone Experience/Thesis Projects
Utilizing an educational-purpose wind tunnel, a data acquisition system through LabVIEW was created to experimentally analyze the aerodynamic forces experienced by objects in uniform external flow by automatically performing trials and interpreting electrical measurement signals. To verify experimental results from pressure distribution data around an object, a force balance was designed to mount objects stationarily in the wind tunnel test section while directly measuring the total lift and drag forces, calculating the pitching moment (for airfoils), and monitoring the angle of attack. The force balance design includes three load cells, one for measuring drag force and two for measuring total …
Synthesis And Catalytic Properties Of Metal-Organic Frameworks Mimicking Carbonic Anhydrase, Longji Li
Synthesis And Catalytic Properties Of Metal-Organic Frameworks Mimicking Carbonic Anhydrase, Longji Li
Mahurin Honors College Capstone Experience/Thesis Projects
The natural enzyme carbonic anhydrase has gained attention in recent years for its ability to catalyze the interconversion of aqueous carbon dioxide (CO2) and bicarbonate. However, it lacks the efficiency to qualify practical usage on a large scale due to its inherent deficiency and fragile nature. On the other hand, its active center can be used as an ideal model for the design of novel catalytic materials targeting carbon dioxide capture and sequestration. This study focused on the synthesis of a zinc-based metal-organic framework (Zn-MOF-1) mimicking the carbonic anhydrase using the solvothermal method. Important properties such as catalytic …
Heavy Metals Found In Juul's Electronic Cigarettes, Joshua F. Gesselberty
Heavy Metals Found In Juul's Electronic Cigarettes, Joshua F. Gesselberty
Honors Theses
Electronic cigarettes better known as e-cigarettes have been consistently rising in popularity with new products entering the market daily. E-cigarettes function by vaporizing a liquid composed of propylene glycol, glycerin, benzoic acid, nicotine, and flavor additives with the use of a metallic heating element. This vapor produced is then inhaled by the user. The composition of this liquid is critical to discovering the possible health effects.
This study investigates the presence and concentrations of heavy metals in the e-liquid before and after vaping. An ICP-MS was used because of its ability to scan several metals rapidly and its high sensitivity. …
Peer-To-Peer Energy Trading For Networked Microgrids, Jonathan David Warner
Peer-To-Peer Energy Trading For Networked Microgrids, Jonathan David Warner
Theses, Dissertations and Capstones
Considering the limitations of the existing centralized power infrastructure, research interests have been directed to decentralized smart power systems constructed as networks of interconnected microgrids. Therefore, it has become critical to develop secure and efficient energy trading mechanisms among networked microgrids for reliability and economic mutual benefits. Furthermore, integrating blockchain technologies into the energy sector has gained significant interest among researchers and industry professionals. Considering these trends, the work in this thesis focuses on developing Peer-to-Peer (P2P) energy trading models to facilitate transactions among microgrids in a multiagent network. Price negotiation mechanisms are proposed for both islanded and grid-connected microgrid …
Routing And Applications Of Vehicular Named Data Networking, Bassma G. Aldahlan
Routing And Applications Of Vehicular Named Data Networking, Bassma G. Aldahlan
Theses and Dissertations--Computer Science
Vehicular Ad hoc NETwork (VANET) allows vehicles to exchange important informationamong themselves and has become a critical component for enabling smart transportation.In VANET, vehicles are more interested in content itself than from which vehicle the contentis originated. Named Data Networking (NDN) is an Internet architecture that concentrateson what the content is rather than where the content is located. We adopt NDN as theunderlying communication paradigm for VANET because it can better address a plethora ofproblems in VANET, such as frequent disconnections and fast mobility of vehicles. However,vehicular named data networking faces the problem of how to efficiently route interestpackets and …
Determination Of Pollutant Load Reductions To Three Mile Creek As A Result Of The Implementation Of Storm Water Bio-Infiltration Basins On The Usa Campus, Jordan E. Blackmon
Determination Of Pollutant Load Reductions To Three Mile Creek As A Result Of The Implementation Of Storm Water Bio-Infiltration Basins On The Usa Campus, Jordan E. Blackmon
Honors Theses
Three Mile Creek has been identified as an impaired urban stream and is now a priority for cleanup for both the City of Mobile and the Alabama Department of Environmental Management. Methods to better manage storm water runoff on the USA campus have begun, with a goal to reduce sediment and nutrient inputs to Three Mile Creek. Both sediment and nutrient inputs to Three Mile Creek disrupt habitat and lower dissolved oxygen concentrations, which are detrimental to overall stream health. Low Impact Development strategies are an innovative way to use nature-like, green-infrastructures to minimize storm water runoff quantity and improve …
Amplification And Filtering Stage For An In-Home Wireless Polysomnograph, Seth Young
Amplification And Filtering Stage For An In-Home Wireless Polysomnograph, Seth Young
Honors Theses
Obstructive sleep apnea is a sleep disorder that tends to be easily treatable but, for most sufferers, is undiagnosed. To lower the economic barriers to screening the design of a portion of a polysomnograph, or obstructive sleep apnea testing tool, is considered. A filtering and amplification stage is theorized, simulated, and constructed for testing. The stage, consisting of three cascaded 1st order Butterworth low pass filters and amplifiers, did not achieve the target signal to noise ratio for a sinusoidal waveform of amplitude 200µv, but showed promising signal to noise ratios for waveforms with amplitudes as low as 600µv. The …
Comparative Analysis Of Computationally Accelerated Ngs Alignment, Ada Chaeli Van Der Zijp-Tan
Comparative Analysis Of Computationally Accelerated Ngs Alignment, Ada Chaeli Van Der Zijp-Tan
Honors Theses
The Smith-Waterman algorithm is the basis of most current sequence alignment technology, which can be used to identify similarities between sequences for cancer detection and treatment because it provides researchers with potential targets for early diagnosis and personalized treatment. The growing number of DNA and RNA sequences available to analyze necessitates faster alignment processes than are possible with current iterations of the Smith-Waterman (S-W) algorithm. This project aimed to identify the most effective and efficient methods for accelerating the S-W algorithm by investigating recent advances in sequence alignment. Out of a total of 22 articles considered in this project, 17 …
Ogt Glycosylation Of Histones In T Cells May Participate In Systemic Lupus Erythematosus, Jared Luke Ridgeway
Ogt Glycosylation Of Histones In T Cells May Participate In Systemic Lupus Erythematosus, Jared Luke Ridgeway
Honors Theses
Systemic Lupus Erythematosus (SLE) is a chronic autoimmune disease that primarily affects women. The etiology is not known yet, but genetics and environmental factors trigger the disease. These epigenetic changes modify gene expression and contribute to the development of the disease. It is known that T cells from patients with lupus overexpress genes that may contribute to the onset and progression of the disease. Dr. Gorelik has shown that OGT (O-linked N-acetyl-Glucosamine Transferase), which is an X-linked gene, is overexpressed in women with SLE. OGT adds b-N-acetylglucosamine (O-GlcNAc) to serine and threonine residues of proteins. …
On The Mechanical Properties Of Al/Cu-Grid/Al Intermetallic Composite, Hamza Essoussi, Said Ettaqi
On The Mechanical Properties Of Al/Cu-Grid/Al Intermetallic Composite, Hamza Essoussi, Said Ettaqi
Journal of Metals, Materials and Minerals
The present paper deals with the experimental investigation of new process combining static compression with high temperature as a simple way to prepare new Al/Cu-grid/Al metallic composite (MC) that consists of Aluminum matrix and Copper grid acting as ductile reinforcement stacked between the Al sheets. At the stage of composite fabrication, two different thermal cycles were tested to highlight the effect of processing temperature on the layers’ adherence and the mechanical properties of the prepared composites. Consequently, the microstructural and mechanical results revealed that the compression at 630℃ for 30 min, then furnace cooled to 450℃ followed by air cooling …