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Articles 3811 - 3840 of 36791
Full-Text Articles in Engineering
On Explainability Of Neural Networks, Cem Benar
On Explainability Of Neural Networks, Cem Benar
Dissertations
It is widely reported that deep neural networks outperform most competitors for a range of applications. The state-of-the-art neural networks have built-in inductive bias of architectural choices, regularizations, optimizer types, and initialization methods. Using inductive bias is intuitive to enhance the model approximation. Deep neural networks are mostly dense and heavily overparameterized. They tend to be biased towards low-rank solutions to reduce complexity and improve generalization performance, known as implicit regularization. The implicit regularization as observed in specific architectures and various real-world data sets suggests to overparameterize neural networks judiciously and learn compressed representations (lower rank approximation) with improved performance. …
Obtaining Sweet Molasses By The Method Of Hydromechanical And Enzymatic Processing Of Grain, Sadritdin Maxamatdinovich Turabdjanov, Kamoliddin Ahmadjonovich Mahmudov, Bexzod Alisherovich Kasimov, Kasun Dissanayake Kumara
Obtaining Sweet Molasses By The Method Of Hydromechanical And Enzymatic Processing Of Grain, Sadritdin Maxamatdinovich Turabdjanov, Kamoliddin Ahmadjonovich Mahmudov, Bexzod Alisherovich Kasimov, Kasun Dissanayake Kumara
Chemical Technology, Control and Management
Methods of hydrolysis of grains to starch under the influence of hydrodynamic and enzymatic processes are logically based. Polysaccharides derived from starchy grains are known and popular in the food industry for their thickening and stabilizing properties. To date, studies that allow for a deeper understanding of the mechanism of interaction of polysaccharide-containing products with their main components, the effect on the set of rheological, organoleptic, physico-chemical properties of food products that determine their functions are relevant.
Electromagnetic Current Transducer For Control Of Reactive Power Consumption Of An Asynchronous Motor From A Single-Phase Supply Of Renewable Energy Source, Llhomjon Xakimovich Siddikov, Saidikrom Saidmurodovich A'Zamov, Dilyorbek Doniyorbek O'G'Li Karimjonov
Electromagnetic Current Transducer For Control Of Reactive Power Consumption Of An Asynchronous Motor From A Single-Phase Supply Of Renewable Energy Source, Llhomjon Xakimovich Siddikov, Saidikrom Saidmurodovich A'Zamov, Dilyorbek Doniyorbek O'G'Li Karimjonov
Chemical Technology, Control and Management
In the world, the demand for electricity and its quality is increasing, in order to further increase the share of renewable energy sources, the reactive power that generates the magnetic field and current in asynchronous motors, which consumes more than 60% of the electricity generated from them and provided by them The research of electromagnetic current transformers, which allows controlling the consumption, evaluating the asymmetry and nonsinusoidal indicators of reactive power and energy, remotely sensing and measuring these quantities with appropriate devices, and converting them into a standard signal, is considered an urgent issue . The research results of the …
Application Of Evolutionary Algorithms For Optimization Of Operation Modes Of Regional Electric Power Systems, Isamiddin Khakimovich Siddikov, Oksana Vitalevna Porubay
Application Of Evolutionary Algorithms For Optimization Of Operation Modes Of Regional Electric Power Systems, Isamiddin Khakimovich Siddikov, Oksana Vitalevna Porubay
Chemical Technology, Control and Management
The paper presents the possibilities of using evolutionary algorithms to solve the problem of optimizing the operation modes of electric power facilities in the presence of constraints in the form of inequalities and equalities. The limits of constraints have a variable character, depending on the generated and consumed energy. Existing methods used for the optimization of modes are based on general principles and approaches to optimization, which usually adapt to the specifics of the problem. In electric power facilities, optimization problems have some peculiarities, among which is the presence of multiple constraints applied to both independent and dependent variables. Many …
Computer Training Systems For Training Engineering Personnel For Control Industrial Enterprises, Yusuf Shodiyevich Avazov, Kamola Rustamovna Abdullaeva
Computer Training Systems For Training Engineering Personnel For Control Industrial Enterprises, Yusuf Shodiyevich Avazov, Kamola Rustamovna Abdullaeva
Chemical Technology, Control and Management
A principle has been proposed for constructing computer simulators for improving the qualifications of process control operators at industrial enterprises and for training students of higher educational institutions. The capabilities of a computer simulator that can be used as a digital assistant are revealed. Their architecture for building digital simulators is proposed. From the architecture it is clear that the computer simulator consists of two systems. The training process management system and the server of the computerized simulator are combined into a digital simulator. Simulators in this category provide student operators with the opportunity to develop skills in self-control of …
Use Of Neural Networks In Intelligent Measurement Tools, N.R Yusupbekov, Y.Sh. Avazov, Umidjon Ruziev Phd
Use Of Neural Networks In Intelligent Measurement Tools, N.R Yusupbekov, Y.Sh. Avazov, Umidjon Ruziev Phd
Chemical Technology, Control and Management
The paper presents algorithms for processing the measurement signal with the possibilities of adaptation, learning and decision making. A comparative analysis of the methods of intellectual processing of measurement data is carried out. A model of a measuring instrument for determining the structure of a neural network has been developed. The problem of error reduction due to measurement noise filtering with the use of neural networks is considered. The structure of the neural network has been developed for intelligent processing of the measurement signal and ensuring the implementation of the functions of reconfiguration, calibration, self-diagnosis and self-control. A neural network …
Algorithms For Synthesis Of Adaptive Control Systems Based On The Neural Network Approach, Jasur Sevinov, Oxunjon Boborayimov, Sh.M. Abdishukurov
Algorithms For Synthesis Of Adaptive Control Systems Based On The Neural Network Approach, Jasur Sevinov, Oxunjon Boborayimov, Sh.M. Abdishukurov
Chemical Technology, Control and Management
Here are algorithms for the synthesis of adaptive control systems based on the neural network approach presented. The issues of choice of architectures of neural networks that produce parametric identification of the object regulation. Adaptative neural networks that reproduce the optimal parameters of implemented controllers, methods of forming training samples for their training are considered. The other question of using the theory of artificial neural networks for approximating the functional of the controller's tuning parameters are determined. Structures of synthesized neural networks of parametric identification of objects with self-alignment in an open loop ACS are proposed. Algorithms made it possible …
The Morphology Analysis Of Soil In Remote Sensing Image Processing, Mirzayan Mirzaaxmedovich Kamilov, Mirzaakbar Xakkulmirzayevich Hudayberdiev, Bobomurod Mamitjonovich Tojiboev
The Morphology Analysis Of Soil In Remote Sensing Image Processing, Mirzayan Mirzaaxmedovich Kamilov, Mirzaakbar Xakkulmirzayevich Hudayberdiev, Bobomurod Mamitjonovich Tojiboev
Chemical Technology, Control and Management
This article analyzed various techniques used in satellite image processing to analyze soil morphology. Analysis of soil morphology using satellite imagery plays a crucial role in soil science research, Land Management, and environmental monitoring. It provides an economical and efficient means of studying large-scale soil variability, providing information on land sustainable use, resource management and soil conservation decisions.
Results Of The Study Of The Pumpkin Drying Process, Jasur Esirgapovich Safarov, Shahnoza Abduvakhitovna Sultanova, Andrey Svyatoslavovich Ponasenko, Gani Toshkhujaevich Dadaev
Results Of The Study Of The Pumpkin Drying Process, Jasur Esirgapovich Safarov, Shahnoza Abduvakhitovna Sultanova, Andrey Svyatoslavovich Ponasenko, Gani Toshkhujaevich Dadaev
Chemical Technology, Control and Management
The article presents the results of the study of the pumpkin drying process, comparisons with different drying models are carried out. A mathematical model for numerical analysis has been developed. Pumpkin drying rates are calculated and various drying models are investigated. 5 different drying models were used to verify the accuracy of experimental data and search for the most suitable model. The experimental data obtained for the drying air temperature of 45 °C, 55 °C and 65 °C were applied to various drying models.
Challenges In Optimization For The Performance On Sustainability Dimensions In Reverse Logistics Social Responsibility, Sumarsono Sudarto, Katsuhiko Takahashi, Mochammad Dewo
Challenges In Optimization For The Performance On Sustainability Dimensions In Reverse Logistics Social Responsibility, Sumarsono Sudarto, Katsuhiko Takahashi, Mochammad Dewo
Makara Journal of Technology
Reverse logistics social responsibility is preferred as the most acceptable solution for addressing the challenges in stakeholders’ debate regarding social responsibility in supply chains because it involves as many actors as possible in the supply chain to perform social responsibility to achieve sustainability. This paper explores the challenges in achieving optimal policies in sustainability dimensions for collection and recycling facilities in reverse logistics. Sustainability dimensions include economic, environmental, and social aspects. The reverse logistics is modeled on System Dynamics, and a simplified statistical analysis using a contour chart is employed in numerical experiments. Results show a narrow area of optimal …
An Animated Introduction To Digital Logic Design, John D. Carpinelli
An Animated Introduction To Digital Logic Design, John D. Carpinelli
Open and Affordable Textbooks
There is a newer edition of this textbook available here.
This book is designed for use in an introductory course on digital logic design, typically offered in computer engineering, electrical engineering, computer science, and other related programs. Such a course is usually offered at the sophomore level. This book makes extensive use of animation to illustrate the flow of data within a digital system and to step through some of the procedures used to design and optimize digital circuits.
All of the animations for this book can be found here: https://digitalcommons.njit.edu/dld-animations/
Mathematical Model Of An Industrial Robot Built On The Basis Of Linear Motion Mechatron Modules, Matyokubov Nurbek Rustamovich, Rakhimov Temurbek Omonboyevich
Mathematical Model Of An Industrial Robot Built On The Basis Of Linear Motion Mechatron Modules, Matyokubov Nurbek Rustamovich, Rakhimov Temurbek Omonboyevich
Chemical Technology, Control and Management
The use of Industry 4.0 technologies in modern production serves to increase production efficiency. Robots and robotic complexes with innovative intelligent control are widely used in industrial production. However, studying their mechanical part, linear motion mechatronic modules and control system is a complex object. The variety and complexity of control methods and operating modes negatively affects the operator's working time and production productivity. In such cases, it is necessary to improve control methods and develop technologies used in industry, including robots and robotic manipulators, which allow to perform short movements with high accuracy and speed. In the article, the mathematical …
Systematic Analysis Of Methods Of Control Of Dynamic Objects In Conditions Of Non-Measurable Disturbances, Mamirov Farkhodovich Uktam, Buronov Mamurjon Ugli Bunyod
Systematic Analysis Of Methods Of Control Of Dynamic Objects In Conditions Of Non-Measurable Disturbances, Mamirov Farkhodovich Uktam, Buronov Mamurjon Ugli Bunyod
Chemical Technology, Control and Management
The article presents a systematic analysis of control methods of dynamic objects under non-measurable disturbances. It is important to study all the factors affecting the control object in order to increase the efficiency of the control system. Due to the immeasurable nature of disturbances affecting control objects, it is shown that they cause negative effects and increase the complexity of control systems in this case. In the control of dynamic objects of this type, the possibilities of control by indirect measurement of disturbances or by estimation of object position and disturbances have been explored. The use cases, shortcomings and achievements …
Development Of The Computer Model Of The Waste Water Treatment Process Using Ion-Exchange Resins In The Matlab Program, Jaloliddin Abdurazzakovich Eshbobaev, Bakhodir Tajiddinovich Khamidov, Adham Tilovovich Norkobilov, Orifjon Sharipovich Kodirov
Development Of The Computer Model Of The Waste Water Treatment Process Using Ion-Exchange Resins In The Matlab Program, Jaloliddin Abdurazzakovich Eshbobaev, Bakhodir Tajiddinovich Khamidov, Adham Tilovovich Norkobilov, Orifjon Sharipovich Kodirov
Chemical Technology, Control and Management
In this work, a mathematical model of industrial wastewater treatment technology was formed. First, wastewater treatment technologies were analyzed and the technology of ion-exchange resin treatment was selected. A water purification device using ion-exchange resins was made, and tested on the Kungrad soda plant and the results were obtained. According to these results, it was determined that the cleaning coefficient of the device is up to 98-99%. In this article, a mathematical model of a wastewater treatment device using ion-exchange resins was developed using the stoichiometric matrix method. After the mathematical model of the process was found, a graph of …
The Relaying Network In Free-Space Optical Communications Using Optical Amplifiers In Cascaded Configuration, Ucuk Darusalam, Arockia Bazil Raj, Fitri Yuli Zulkifli, Purnomo Sidi Priambodo, Eko Tjipto Rahardjo
The Relaying Network In Free-Space Optical Communications Using Optical Amplifiers In Cascaded Configuration, Ucuk Darusalam, Arockia Bazil Raj, Fitri Yuli Zulkifli, Purnomo Sidi Priambodo, Eko Tjipto Rahardjo
Makara Journal of Technology
Optical relaying is the best technique to implement free-space optical (FSO) communications as a terrestrial platform. However, atmospheric turbulence (AT) limits the optical-propagation path length. In this study, the implementation of some optical amplifiers (OAs) in cascaded configuration, namely, erbium-doped fiber amplifiers, semiconductor OAs, and Raman amplifiers (RAs), are investigated through simulation. This study aims to search for the maximum link distance of an optical propagation and enhance the FSO performance caused by each configuration of OAs. The optical relaying network consists of three nodes, with each node designed with a space of several kilometers under the influence of AT. …
Large-Scale Cascading Of First-Order Fbg Array In A Highly Multimode Coreless Fiber Using Femtosecond Laser For Distributed Thermal Sensing, Farhan Mumtaz, Bohong Zhang, Ronald J. O'Malley, Jie Huang
Large-Scale Cascading Of First-Order Fbg Array In A Highly Multimode Coreless Fiber Using Femtosecond Laser For Distributed Thermal Sensing, Farhan Mumtaz, Bohong Zhang, Ronald J. O'Malley, Jie Huang
Electrical and Computer Engineering Faculty Research & Creative Works
This research focuses on the performance analysis and characterization of a fiber Bragg gratings (FBGs) array, consisting of 10 first order FBGs inscribed by a femtosecond (FS) laser in a highly multimode coreless fiber. The study evaluates the FBG array's ability to function as a distributed thermal sensing (DTS) platform, with the coreless fiber chosen as the sensing element due to its immunity to dopant migration at high temperatures. The design of a large cascaded first-order FBG array effectively eliminates unwanted harmonic peaks across a wide spectrum range. In contrast, higher-order FBGs introduce limitations due to the overlapping of Bragg …
Effects Of Traps On Photo-Induced Interfacial Charge Transfer Of Ag-Tio2: Photoelectrochemical, Electrochemical And Spectroscopic Characterizations, Zhi-Hao Liang, Jia-Zheng Wang, Dan Wang, Jian-Zhang Zhou, De-Yin Wu
Effects Of Traps On Photo-Induced Interfacial Charge Transfer Of Ag-Tio2: Photoelectrochemical, Electrochemical And Spectroscopic Characterizations, Zhi-Hao Liang, Jia-Zheng Wang, Dan Wang, Jian-Zhang Zhou, De-Yin Wu
Journal of Electrochemistry
In the field of metal-semiconductor composites based plasmon-mediated chemical reactions, a clear and in-depth understanding of charge transfer and recombination mechanisms is crucial for improving plasmonic photocatalytic efficiency. However, the plasmonic photocatalytic reactions at the solid-liquid interface of the electrochemical systems involve complex processes with multiple elementary steps, multiple time scales, and multiple controlling factors. Herein, the combination of photoelectrochemical and electrochemical as well as spectroscopic characterizations has been successfully used to study the effects of traps on the photo-induced interfacial charge transfer of silver-titanium dioxide (Ag-TiO2). The results show that the increase of surface hydroxyl groups may …
Synthesis And Evaluation Of Organic Additives For Copper Electroplating Of Interconnects, Yue-Hui Zhai, Yi-Xiao Peng, Yan Hong, Yuan-Ming Chen, Guo-Yun Zhou, Wei He, Peng-Ju Wang, Xian-Ming Chen, Chong Wang
Synthesis And Evaluation Of Organic Additives For Copper Electroplating Of Interconnects, Yue-Hui Zhai, Yi-Xiao Peng, Yan Hong, Yuan-Ming Chen, Guo-Yun Zhou, Wei He, Peng-Ju Wang, Xian-Ming Chen, Chong Wang
Journal of Electrochemistry
Copper interconnects are essential to the functionality, performance, power efficiency, reliability, and fabrication yield of electronic devices. They are widely found in chips, packaging substrates and printed circuit boards, and are often produced by copper electroplating in an acidic aqueous solution. Organic additives play a decisive role in regulating copper deposition to fill microgrooves, and micro-vias to form fine lines and interlayer interconnects. Generally, an additive package consists of three components (brightener, suppressor, and leveler), which have a synergistic effect of super-filling on electroplating copper when the concentration ratio is appropriate. Many works of literature have discussed the mechanism of …
Effect Of Amine Additives On Thermal Runaway Inhibition Of Sic||Ncm811 Batteries, Bo-Wen Hou, Long He, Xu-Ning Feng, Wei-Feng Zhang, Li Wang, Xiang-Ming He
Effect Of Amine Additives On Thermal Runaway Inhibition Of Sic||Ncm811 Batteries, Bo-Wen Hou, Long He, Xu-Ning Feng, Wei-Feng Zhang, Li Wang, Xiang-Ming He
Journal of Electrochemistry
The high energy density of NCM batteries with high nickel content is a key advantage in replacing fossil fuels and promoting clean energy development, at the same time, is also a fundamental cause of serious safety hazards in batteries. Primary and secondary amines can lead to ring-opening polymerization of common ethylene carbonate electrolytes, resulting in an isolation layer between the cathode and the anode, and improving the thermal safety of the battery. In this work, the safety of batteries is considered both at the material level and at the cell level, based on the chemical reactions between amines and the …
Blockchain-Based Applications For Smart Grids: An Umbrella Review, Wenbing Zhao, Quan Qi, Jiong Zhou, Xiong Luo Qi
Blockchain-Based Applications For Smart Grids: An Umbrella Review, Wenbing Zhao, Quan Qi, Jiong Zhou, Xiong Luo Qi
Electrical and Computer Engineering Faculty Publications
This article presents an umbrella review of blockchain-based smart grid applications. By umbrella review, we mean that our review is based on systematic reviews of this topic. We aim to synthesize the findings from these systematic reviews and gain deeper insights into this discipline. After studying the systematic reviews, we find it imperative to provide a concise and authoritative description of blockchain technology because many technical inaccuracies permeate many of these papers. This umbrella review is guided by five research questions. The first research question concerns the types of blockchain-based smart grid applications. Existing systematic reviews rarely used a systematic …
Hypergraph-Based Multi-Robot Task And Motion Planning, James Motes, Tan Chen, Timothy Bretl, Marco Morales Aguirre, Nancy M. Amato
Hypergraph-Based Multi-Robot Task And Motion Planning, James Motes, Tan Chen, Timothy Bretl, Marco Morales Aguirre, Nancy M. Amato
Michigan Tech Publications
In this article, we present a multi-robot task and motion planning method that, when applied to the rearrangement of objects by manipulators, results in solution times up to three orders of magnitude faster than the existing methods and successfully plans for problems with up to 20 objects, more than three times as many objects as comparable methods. We achieve this improvement by decomposing the planning space to consider manipulators alone, objects, and manipulators holding objects. We represent this decomposition with a hypergraph where vertices are decomposed elements of the planning spaces and hyperarcs are transitions between elements. The existing methods …
Hierarchical Based Classifcation Method Based On Fusion Ofgaussian Map Descriptors Foralzheimer Diagnosis Using T1‑Weighted Magnetic Resonance Imaging, Nourhan Zayed, Shereen E. Morsy, Inas A. Yassine
Hierarchical Based Classifcation Method Based On Fusion Ofgaussian Map Descriptors Foralzheimer Diagnosis Using T1‑Weighted Magnetic Resonance Imaging, Nourhan Zayed, Shereen E. Morsy, Inas A. Yassine
Mechanical Engineering
Alzheimer’s disease (AD) is considered one of the most spouting elderly diseases. In 2015, AD is reported the US’s sixth cause of death. Substantially, non-invasive imaging is widely employed to provide biomarkers supporting AD screening, diagnosis, and progression. In this study, Gaussian descriptors-based features are proposed to be efcient new biomarkers using Magnetic Resonance Imaging (MRI) T1-weighted images to diferentiate between Alzheimer’s disease (AD), Mild Cognitive Impairment (MCI), and Normal controls (NC). Several Gaussian map-based features are extracted such as Gaussian shape operator, Gaussian curvature, and mean curvature. The aforementioned features are then introduced to the Support Vector Machine (SVM). …
Performance Of Siso And Mimo Antenna Systems In Suburban And Urban Scenarios For V2i Communications At 5.9 Ghz And 28 Ghz, Oluwaseun Falade
Performance Of Siso And Mimo Antenna Systems In Suburban And Urban Scenarios For V2i Communications At 5.9 Ghz And 28 Ghz, Oluwaseun Falade
Theses and Dissertations
As the need for Vehicle to Infrastructure (V2I) innovations increases, further research is needed to test the performance of antennas installed on vehicles in realistic scenarios including their radiation patterns and optimal location. This thesis considers realistic suburban and urban scenarios with SISO and MIMO antennas for V2I systems at 5.9 GHz and 28 GHz. The simulation is based on Ray tracing (RT) channel models to accurately model the effects of obstacles such as buildings and vehicles on the communication signals. Time-varying vehicular environments are simulated using a 3-D RT tool involving a vehicle and a base station. This research …
Acquiring Commanding Heights Of “Gallium System” Semiconductor Technology, Assisting In Achievement Of The First Breakthrough In Optoelectronic Information Industry, Yun Zhang
Bulletin of Chinese Academy of Sciences (Chinese Version)
No abstract provided.
Watch: A Distributed Clock Time Offset Estimation Tool On The Platform For Open Wireless Data-Driven Experimental Research, Cassie Jeng
McKelvey School of Engineering Graduate Student Theses & Dissertations
The synchronization of the clocks used at different devices across space is of critical importance in wireless communications networks. Each device’s local clock differs slightly, affecting the times at which packets are transmitted from different nodes in the network. This thesis provides experimentation and software development on POWDER, the Platform for Open, Wireless Data-driven Experimental Research, an open wireless testbed across the University of Utah campus. We build upon Shout, a suite of Python scripts that allow devices to iteratively transmit and receive with each other and save the collected data. We introduce WATCH, an experimental method to estimate clock …
A Feasibility Study Of A Wearable Health Monitoring Device Powered By Thermoelectric Generators, Sarah Schneider
A Feasibility Study Of A Wearable Health Monitoring Device Powered By Thermoelectric Generators, Sarah Schneider
Masters Theses
Implementation of thermoelectric generators (TEGs) as a power source for embedded systems has increased with the push toward alternative and renewable energy sources. Thermoelectric generators produce electrical energy from thermal energy through the Seebeck effect. The Seebeck effect is a phenomenon seen when a temperature difference at a joint of two different metals generates a DC current and electromotive force [1]. This has made TEGs desirable for embedded system applications because it would allow for extended wireless operation. TEGs are based on solid-state technology which means they do not consist of any moving parts which reduces wear and tear with …
Credit Hour Analysis, Tushar Ojha, Don R. Hush, Elias S. Lopez
Credit Hour Analysis, Tushar Ojha, Don R. Hush, Elias S. Lopez
Electrical & Computer Engineering Technical Reports
This report presents a detailed analysis of the credit hour usage pattern of undergraduate students at the University of New Mexico (UNM) using custom analytical tools. We introduce a credit-tree framework for analyzing credit hour efficiency. This framework leverages a custom-built specialized audit tool for categorizing student credits. More specifically, student credits are assigned to one of three categories: unusable credits that do not match any degree requirement, excess credits that can be removed without changing the requirement satisfaction, and applied credits that contribute to requirement satisfaction without excess. Clearly, this enables credit analysis at the course and degree requirement …
Distributed Optimization With Limited Communication In Networks With Adversaries, Iyanuoluwa Emiola
Distributed Optimization With Limited Communication In Networks With Adversaries, Iyanuoluwa Emiola
Electronic Theses and Dissertations, 2020-2023
We all hope for the best but sometimes, one must plan for ways of dealing with the worst-case scenarios, especially in a network with adversaries. This dissertation illustrates a detailed description of distributed optimization algorithms over a network of agents, in which some agents are adversarial. The model considered is such that adversarial agents act to subvert the objective of the network. The algorithms presented in this dissertation are solved via gradient-based distributed optimization algorithm and the effects of the adversarial agents on the convergence of the algorithm to the optimal solution are characterized. The analyses presented establish conditions under …
Theoretical Analysis Of Charge Conduction And Rectification In Self-Assembled-Monolayers In Molecular Junctions, Francis Adoah
Theoretical Analysis Of Charge Conduction And Rectification In Self-Assembled-Monolayers In Molecular Junctions, Francis Adoah
Electronic Theses and Dissertations, 2020-2023
As electrical devices shrink to the atomic scale, it is expected that Moore's law will soon be obsolete for semiconductor devices. In 1974, Avriam and Ratner predicted that organic devices could replace semiconductor technology, leading to extensive research on molecular-based organic devices. This dissertation delves into the theoretical frameworks used to examine the transport in molecular junctions and aims to enhance our comprehension of charge transport and conduction properties. The studies presented in this thesis illustrates that a molecule's alteration by just a single atom can change it from an insulator to a conductor, and also that, by fine-tuning the …
Performance Analysis Of Vlc-Based Infrastructure-To-Vehicle Communication, Noura Elshabasy, Samy S. Soliman, Mohammad Abdellatif
Performance Analysis Of Vlc-Based Infrastructure-To-Vehicle Communication, Noura Elshabasy, Samy S. Soliman, Mohammad Abdellatif
Electrical Engineering
Infrastructure such as traffic signals are expected to communicate various safety messages as a part of the evolution of smart transportation networks. It is anticipated that hybrid Vehicle to Vehicle (V2V) and Infrastructure to Vehicle (I2V) communication links would be taken into account to further enhance the system performance and expand the reach and capacity of the network. This paper proposes a visible light communication (VLC) link by installing multiple Photo-Detectors (PDs) in I2V links in order to improve the Bit Error Rate (BER) performance of the system. The paper investigates the effect of the distances and received powers on …