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Articles 61831 - 61860 of 197918
Full-Text Articles in Engineering
Two Novel Radar Detectors For Spiky Sea Clutter With The Presence Of Thermal Noise And Interfering Targets, Nouh Guidoum, Faouzi Soltani, Amar Mezache
Two Novel Radar Detectors For Spiky Sea Clutter With The Presence Of Thermal Noise And Interfering Targets, Nouh Guidoum, Faouzi Soltani, Amar Mezache
Turkish Journal of Electrical Engineering and Computer Sciences
In the context of noncoherent detection and high-resolution maritime radar system with low grazing angle, new Constant False Alarm Rate (CFAR) decision rules are suggested for two Compound Gaussian (CG) clutters namely: The K distribution and the Compound Inverse Gaussian (CIG) distribution, which are considered among the most appropriate models for sea clutter. The proposed decision rules are then modified to deal with the presence of thermal noise and interfering targets. The proposed detectors are investigated on the basis of synthetic data as well as real data of the IPIX radar database. The obtained results exhibit a high probability of …
Detection Of Hand Osteoarthritis From Hand Radiographs Using Convolutionalneural Networks With Transfer Learning, Kemal Üreten, Hasan Erbay, Hadi̇ Hakan Maraş
Detection Of Hand Osteoarthritis From Hand Radiographs Using Convolutionalneural Networks With Transfer Learning, Kemal Üreten, Hasan Erbay, Hadi̇ Hakan Maraş
Turkish Journal of Electrical Engineering and Computer Sciences
Osteoarthritis is the most common type of arthritis. Hand osteoarthritis leads to specific structural changes in the joints, such as asymmetric joint space narrowing and osteophytes (bone spurs). Conventional radiography has traditionally been the primary method of visualizing these structural changes and diagnosing osteoarthritis. We aimed to develop a computerized method that is capable of determining the structural changes seen in radiography of the hand and to assist practitioners in interpreting radiographic changes and diagnosing the disease. In this retrospective study, transfer-learning-based convolutional neural networks were trained on a randomly selected dataset containing 332 radiography images of hands from an …
Implementation And Improvement Of Common Text-Independent Speaker Identification, Yunlong Wang
Implementation And Improvement Of Common Text-Independent Speaker Identification, Yunlong Wang
Graduate Research Theses & Dissertations
The purpose of this thesis is to improve and implement the existing speaker recognition system. The proposed system will be cooperate with automatic speech recognition for automatically generating a script file for a recorded dialog file. Today's speech recognition technology has been widely used in many application areas; however, speaker recognition technology needs to be improved for such a purpose in noisy environment. In the process of a recorded file including multi-person conversation, manual speaker identification is often required. The proposed technique can automatically find the ID of each speaker and save manpower. It has potential applications in many other …
Examination Of The Adhesiveness Of The Nanotube Layer On Anodized Commercially Pure Titanium Samples Using The Micro-Limiting Dome Height Test And The Tensile Test., Joshua Manohar Chinthapalli
Examination Of The Adhesiveness Of The Nanotube Layer On Anodized Commercially Pure Titanium Samples Using The Micro-Limiting Dome Height Test And The Tensile Test., Joshua Manohar Chinthapalli
Graduate Research Theses & Dissertations
Titanium oxide (TiO2) nanotube is one of the most extensively studied nanotubes due to its wide applications in electronics and medical fields. In this study, we used electrochemical anodization to create nanotubes on commercially pure titanium (Cp-Ti) samples and examined the adhesiveness of the nanotube layer on the sample surface. Particularly we conducted micro-limiting dome height (µLDH) tests on anodized Cp-Ti foils of 38 µm thickness and 4 mm diameter at room temperature, 100℃, and 200℃. We also conducted tensile tests on standard tensile specimens of anodized Cp-Ti plate at room temperature, and 200℃. The Hitachi S-4500 Field Emission Scanning …
Surface Modification Of Titanium For Orthopedic And Drug Delivery Applications, Prantik Roy Chowdhury
Surface Modification Of Titanium For Orthopedic And Drug Delivery Applications, Prantik Roy Chowdhury
Graduate Research Theses & Dissertations
Titanium is one of the most attractive metal used in orthopedic and drug delivery applications because of its excellent mechanical properties, biocompatibility and high corrosion resistance. However, due to its bio-inertness, fibrous tissue forms between the bone and implant which causes loosening of implant. Surface modification can play an important role to enhance interaction between implant and the surrounding tissues which reduces the implant failure. The aim of this study is to a) incorporate magnesium (Mg) into modified titanium surface by different deposition methods for bone-implant interaction, b) modify the surface of titanium by alkali treatment, and c) investigate the …
Model-Based Network Reconstruction From Cascade Dynamics, Katherine Irena Chwistek
Model-Based Network Reconstruction From Cascade Dynamics, Katherine Irena Chwistek
Graduate Research Theses & Dissertations
Network representation provides a natural framework for the study of real world complex systems. From social networks and animal groups to interneuronal communications and power grid systems, complex patterns of interaction can be captured and modeled using networks in a simple mathematical form. In many cases, however, a faithful network representation of the system is not readily available. For this reason, network reconstruction has become a growing topic of interest in recent years, the goal of which is to discover the hidden interaction patterns among individuals by fitting input-output data from multiple experiments to candidate network topologies.
During a cascade, …
Cobalt Partitioning And Solubility In Low-Temperature Carbonate-Hydrothermal Systems, Seth Kurtis Coursey
Cobalt Partitioning And Solubility In Low-Temperature Carbonate-Hydrothermal Systems, Seth Kurtis Coursey
Graduate Research Theses & Dissertations
Cobalt mineralization has been documented in low temperature Mississippi Valley-type (MVT) deposits in southeast Missouri. Lead and zinc are the most economically important metals in these deposits and are contained within galena (PbS) and sphalerite (ZnS), respectively. Cobalt is also mined in some of the deposits with cobalt-bearing ores, e.g., siegenite ((Ni,Co)3S4) and fletcherite (Cu,(Ni,Co)2S4), occurring stratigraphically below main-stage galena and sphalerite. The hydrothermal fluids responsible for cobalt mineralization are thought to be chemically distinct from the predominant MVT ore-bearing fluids and represent a distinct mineralizing event. Cobalt is likely transported as CoCl2 in hydrothermal fluids and sourced from structures …
Physical And Mechanical Properteis Of Magnesium-Incorporated Bone Substitute Materials, Sarah E. Fleck
Physical And Mechanical Properteis Of Magnesium-Incorporated Bone Substitute Materials, Sarah E. Fleck
Graduate Research Theses & Dissertations
Calcium phosphate (CaP) ceramics have become popular as bone substitutes due to their biocompatibility and similarity to natural bone. Although they are widely used, the mechanical and biological properties of these CaP ceramics can be improved by various methods such as combining them with polymers or ionic substitution in their crystal structure. In current research, we have used carboxymethyl cellulose (CMC) and magnesium (Mg) to modify the physical and mechanical properties of CaP. CMC is a derivative of cellulose which is hydrophilic, biodegradable, and biocompatible. Presence of Mg, a trace element naturally found in the body, is linked to bone …
Particle Injection Simulation On Cold Spray Technology, Christopher A. Santini
Particle Injection Simulation On Cold Spray Technology, Christopher A. Santini
Electronic Theses and Dissertations
Computational Fluid Dynamics (CFD) is a useful tool when it comes to research in the fields of Aerodynamics, Turbomachinery, and is used in several other fields of research. CFD is an important tool in the engineering industry because it allows for understanding and evaluation of a new design, this can lead to advancements in developing a more efficient and effective design. This tool helps in the understanding of the flow phenomena and how it can interact with its surroundings. One of the main reasons in the use of CFD is to reduce the cost of testing a design by running …
Computational Intelligence Approaches For Energy Optimization In Microgrids, Tamal Roy
Computational Intelligence Approaches For Energy Optimization In Microgrids, Tamal Roy
Electronic Theses and Dissertations
The future electrical system termed as smart grid represents a significant paradigm shift for power industry. Nowadays, microgrids are becoming smarter with the integration of renewable energy resources (RESs) , diesel generators , energy storage systems (ESS), and plug-in electric vehicles (PEV or EV) . However, these integration bring with new challenges for intelligent management systems. The classical power generation approaches can no longer be applied to a microgrid with unpredictable renewable energy resources. To relive these problem, a proper power system optimization and a suitable coordination strategy are needed to balance the supply and demand. This thesis presents three …
Finding A Single Equation To Represent Urea Evaporation, Sublimation, And Decomposition In Selective Catalytic Reduction Systems, Noah Hertzler
Finding A Single Equation To Represent Urea Evaporation, Sublimation, And Decomposition In Selective Catalytic Reduction Systems, Noah Hertzler
Senior Honors Theses
Aqueous Urea used in Selective Catalytic Reduction (SCR) Systems undergoes three sequential processes that result in ammonia being produced to reduce harmful NOx emissions: Water evaporation, Urea sublimation, and Urea decomposition into ammonia and isocyanic acid. While these phases can be simplified by modeling the Urea as pure water, accuracy is sacrificed to do so. In order to make SCR modelling both accurate and simple, this project set out to find an equation that could represent all three processes. Simulations were run in ANSYS and Particle to generate a set of data, then an empirical equation was created to model …
Confinement Of Monolithic Stationary Phases In Targeted Regions Of 3d-Printed Titanium Devices Using Thermal Polymerization, Marta Passamonti, Ischa L. Bremer, Suhas H. Nawada, Sinead A. Currivan, Andrea F.G. Gargano, Peter J. Schoenmakers
Confinement Of Monolithic Stationary Phases In Targeted Regions Of 3d-Printed Titanium Devices Using Thermal Polymerization, Marta Passamonti, Ischa L. Bremer, Suhas H. Nawada, Sinead A. Currivan, Andrea F.G. Gargano, Peter J. Schoenmakers
Articles
Abstract
In this study, we have prepared thermally initiated polymeric monolithic stationary phases within discrete regions of 3D-printed titanium devices. The devices were created with controllable hot and cold regions. The monolithic stationary phases were first locally created in capillaries inserted into the channels of the titanium devices. The homogeneity of the monolith structure and the interface length were studied by scanning a capacitively coupled conductivity contactless detector (C4D) along the length of the capillary. Homogeneous monolithic structures could be obtained within a titanium device equipped with a hot and cold jacket connected to two water baths. The confinement method …
Wind Power Forecasting Methods Based On Deep Learning: A Survey, Xing Deng, Haijian Shao, Chunlong Hu, Dengbiao Jiang, Yingtao Jiang
Wind Power Forecasting Methods Based On Deep Learning: A Survey, Xing Deng, Haijian Shao, Chunlong Hu, Dengbiao Jiang, Yingtao Jiang
Electrical & Computer Engineering Faculty Research
Accurate wind power forecasting in wind farm can effectively reduce the enormous impact on grid operation safety when high permeability intermittent power supply is connected to the power grid. Aiming to provide reference strategies for relevant researchers as well as practical applications, this paper attempts to provide the literature investigation and methods analysis of deep learning, enforcement learning and transfer learning in wind speed and wind power forecasting modeling. Usually, wind speed and wind power forecasting around a wind farm requires the calculation of the next moment of the definite state, which is usually achieved based on the state of …
Distributed Machine Learning Approach To Fast Frequency Response-Based Inertia Estimation In Low Inertia Grids, Abodh Poudyal
Distributed Machine Learning Approach To Fast Frequency Response-Based Inertia Estimation In Low Inertia Grids, Abodh Poudyal
Electronic Theses and Dissertations
Recent updates to the IEEE 1547-2018 standard allow active participation of distributed energy resources (DERs) in power grid services with the goal of increased grid reliability and resiliency. With the rapid growth of DERs towards a low inertia converter-dominated grid, the DERs can provide fast frequency response (FFR) services that can quickly counteract the change in system frequency through inertial support. However, in low voltage grids, frequency and voltage face dynamics coupling due to a high resistance to reactance ratio and cannot be controlled separately as in the bulk electric grid. Due to the coupling effect, the control of one …
Regulation Of Δnp63Α By Tip60 Promotes Cellular Proliferation, Andrew Jared Stacy
Regulation Of Δnp63Α By Tip60 Promotes Cellular Proliferation, Andrew Jared Stacy
Browse all Theses and Dissertations
ΔNp63α is a p53 transcription factor family member that promotes cellular proliferation and survival. In squamous cell carcinoma (SCC), ΔNp63α overexpression is associated with poor prognosis and survival, implicating it as a proto-oncogene. Despite its importance in SCC, the mechanisms regulating ΔNp63α expression are poorly understood. We have identified the acetyltransferase TIP60 as a novel upstream regulator of ΔNp63α levels. We discovered that TIP60 regulates ΔNp63α via two mechanisms. First, TIP60 upregulates ΔNp63α mRNA levels. Moreover, pharmacological inhibition of TIP60 activity reduces ΔNp63α transcript levels, indicating that TIP60-cataltyic activity is vital to amplified transcription of ΔNp63α. Second, we have demonstrated …
Host-Parasite Interactions: Comparative Analyses Of Population Genomics, Disease-Associated Genomic Regions, And Host Use, Sara Rose Seibert
Host-Parasite Interactions: Comparative Analyses Of Population Genomics, Disease-Associated Genomic Regions, And Host Use, Sara Rose Seibert
Browse all Theses and Dissertations
Birds are major vectors and reservoir hosts of pathogens across our globe. Pathogens can be spread through the dispersal and seasonal movements of migratory and resident wild birds. Although biogeographic barriers have the potential to restrict completely or in part gene flow in wild birds, variation in ecological drivers of dispersal likely influences the effectiveness of these barriers amongst different species. This dissertation seeks to enhance our knowledge of Southern Hemisphere waterfowl species’ dispersal, population genomics, and disease ecology using population genomic techniques (double-digest restriction-site associated DNA sequencing (ddRADseq)) and multi-variate statistics. First, we investigated the roles of dispersal behavior …
Scalable, Pluggable, And Fault Tolerant Multi-Modal Situational Awareness Data Stream Management Systems, Michael Partin
Scalable, Pluggable, And Fault Tolerant Multi-Modal Situational Awareness Data Stream Management Systems, Michael Partin
Browse all Theses and Dissertations
Features and attributes that describe an event (disasters, social movements, etc.) are heterogeneous in nature. For virtually all events that impact humans, technology enables us to capture a large amount and variety of data from many sources, including humans (i.e., social media) and sensors/internet of things (IoTs). The corresponding modalities of data include text, imagery, voice and video, along with structured data such as gazetteers (i.e., location-based data) and government and statistical data. However, even though there is often an abundance of information produced, this information is fragmented across the various modalities and sources. The DisasterRecord system aims to provide …
Towards Interpretable And Reliable Deep Neural Networks For Visual Intelligence, Ning Xie
Towards Interpretable And Reliable Deep Neural Networks For Visual Intelligence, Ning Xie
Browse all Theses and Dissertations
Deep Neural Networks (DNNs) are powerful tools blossomed in a variety of successful real-life applications. While the performance of DNNs is outstanding, their opaque nature raises a growing concern in the community, causing suspicions on the reliability and trustworthiness of decisions made by DNNs. In order to release such concerns and towards building reliable deep learning systems, research efforts are actively made in diverse aspects such as model interpretation, model fairness and bias, adversarial attacks and defenses, and so on. In this dissertation, we focus on the research topic of DNN interpretations for visual intelligence, aiming to unfold the black-box …
Evaluation Of A Bulge Reduction Technology For Corrugated Fiberboard Containers Under Static Compression, Daan Peleman, Jay Singh, Koushik Saha, Soma Roy
Evaluation Of A Bulge Reduction Technology For Corrugated Fiberboard Containers Under Static Compression, Daan Peleman, Jay Singh, Koushik Saha, Soma Roy
Industrial Technology and Packaging
This research examines the effect of top-to-bottom static compression load on the bulge of RSC containers. The study compares a control regular slotted container (RSC) constructed with corrugated fiberboard to tape-reinforced designs. The bulge reduction, achieved using various tape placements and conditioning environments, were measured. Currently, no research on the effect of reinforcement tape towards reduction in the out-of-plane displacement (bulging) of the corrugated fiberboard panels has been undertaken. Samples related to four different container designs, varying by presence, quantity and the position of the reinforcement tape on the vertical panels, were tested and analyzed. The study involved the use …
Influence Of Fiberboard Container Design On Compression Bulge Displacement, Koushik Saha, Shane Messner, John Dizon, Nirav Chhajed, Jay Singh
Influence Of Fiberboard Container Design On Compression Bulge Displacement, Koushik Saha, Shane Messner, John Dizon, Nirav Chhajed, Jay Singh
Industrial Technology and Packaging
Bulge effect is the out-of-plane displacement of a panel of a corrugated fiberboard box from its original position. This bulge effect often is the result of excessive weight being placed on a box that rests at the bottom of a palletized load. Panels that are out-of-plane reduce the stacking strength of the box and can result in damage to products inside the containers. This study was designed to find the influence of fiberboard container design on its bulging performance when under compression. The objective of the study was to determine if change in height of a regular slotted container will …
Microfluidic Flow Direction And Rate Vector Sensor Based On A Partially Gold-Coated Tfbg, Changyu Shen, Dejun Liu, Xiaokang Lian, Tingting Lang, Chunliu Zhao, Yuliya Semenova, Jacques Albert
Microfluidic Flow Direction And Rate Vector Sensor Based On A Partially Gold-Coated Tfbg, Changyu Shen, Dejun Liu, Xiaokang Lian, Tingting Lang, Chunliu Zhao, Yuliya Semenova, Jacques Albert
Articles
In microfluidic chips applications, the monitoring of the rate and the direction of a microfluidic flow is very important. Here, we demonstrate a liquid flow rate and a direction sensor using a partially gold-coated tilted fiber Bragg grating (TFBG) as the sensing element. Wavelength shifts and amplitude changes of the TFBG transmission resonances in the near infrared reveal the direction of the liquid flowing along the fiber axis in the vicinity of the TFBG due to a nanoscale gold layer over part of the TFBG. For a device length of 10 mm (and a diameter of 125 µm for easy …
Synthesis Of Lamno3 & Ceo2-Mnox Nanocrystals For Selective Catalytic Reduction, Joseph Lane
Synthesis Of Lamno3 & Ceo2-Mnox Nanocrystals For Selective Catalytic Reduction, Joseph Lane
Honors Capstones
No abstract provided.
A Mesoscale-Based Computational Mechanics Framework For Constitutive Characterization And Homogenization Of Particulate Media, Gerald Pekmezi
A Mesoscale-Based Computational Mechanics Framework For Constitutive Characterization And Homogenization Of Particulate Media, Gerald Pekmezi
All ETDs from UAB
A complete meso-to-macro computational homogenization approach for particu-late materials has been devised and implemented in this study. Starting with experimental distributions of the micromechanical characteristics of constitutive grains, this framework uses computational modeling of mesoscale statistical ensembles to characterize effective mechanical behavior at incrementally larger mesoscopic scales. This approach is found to be useful in several ways: 1) the effective Representative Volume Element (RVE) size of particulate media can be identified using the most rigorous homogenization criterion, the Hill-Mandel macrohomogeneity condition, 2) a statistical description is possible of the effective mechanical properties of particulate media at scales below the RVE, …
Cationic Surfactant Analysis With Good Laboratory Practice, Lawrence K. Wang, Mu-Hao Sung Wang, Nazih K. Shammas, Valerie Renak, Yung-Tse Hung
Cationic Surfactant Analysis With Good Laboratory Practice, Lawrence K. Wang, Mu-Hao Sung Wang, Nazih K. Shammas, Valerie Renak, Yung-Tse Hung
Civil and Environmental Engineering Faculty Publications
The objectives of this research are to: (a) demonstrate how to select an organic solvent (such as 1,1,1-trichloroethane) for spectrophotometric determination of cationic surfactant in water and wastewater, (b) investigate and recommend possible better organic solvents for surfactant analysis; and (c) introduce good laboratory practice for personal protection, laboratory protection and hazardous waste management. Specifically this research involves selection of alternate less toxic and greener organic solvent for use in a methyl orange method for colorimetric determination of cationic surfactants in the 0.2 to 2.0 mg/L range. The principles, steps and management of the methyl orange method include: (a) complexation …
Thermal Atomization Due To Boiling During Droplet Impingement On Superhydrophobic Surfaces, Preston Todd Emerson
Thermal Atomization Due To Boiling During Droplet Impingement On Superhydrophobic Surfaces, Preston Todd Emerson
Theses and Dissertations
Superhydrophobic (SH) surfaces are characterized by their extraordinary water repellent qualities. When water comes in contact with these surfaces, it beads up and rolls around. This phenomenon is due partially to surface chemistry which promotes weak adhesive forces between liquid and solid. However, micro- and nanoscale surface roughness also plays a crucial role by trapping air beneath the liquid, reducing liquid-solid contact. Many advantages of these surfaces have been identified, including drag reduction and self-cleaning properties, and the body of research regarding them has grown rapidly over the past few decades.This thesis is concerned with water droplets impinging superheated, superhydrophobic …
ระยะเวลาบำรุงรักษาที่เหมาะสมสำหรับเครื่องปรับอากาศแบบแยกส่วน, เชาวลิต คำสุข
ระยะเวลาบำรุงรักษาที่เหมาะสมสำหรับเครื่องปรับอากาศแบบแยกส่วน, เชาวลิต คำสุข
Chulalongkorn University Theses and Dissertations (Chula ETD)
งานวิจัยนี้มีวัตถุประสงค์เพื่อหาระยะเวลาที่เหมาะสมในการทำความสะอาดเครื่องปรับอากาศแบบแยกส่วน เนื่องจากประสิทธิภาพของเครื่องปรับอากาศที่ลดลงส่วนใหญ่มาจากสิ่งสกปรกที่เกาะติดที่แผงคอยล์เย็น และแผงคอยล์ร้อน ส่งผลให้ประสิทธิภาพของเครื่องปรับอากาศโดยรวมลดลง ดังนั้นการทำความสะอาดเครื่องปรับอากาศจะทำให้ประสิทธิภาพเพิ่มกลับคืนมาได้ในระดับหนึ่ง โดยประสิทธิภาพที่เพิ่มจะขึ้นอยู่กับความถี่ในการทำความสะอาดเครื่องปรับอากาศ ได้มีการศึกษาและจัดเก็บข้อมูลจากการเดินเครื่องปรับอากาศแบบแยกส่วนขนาดทำความเย็น 3.6 kW จำนวน 2 เครื่อง โดยมีการจัดเก็บข้อมูลในระยะเวลา 6 เดือน แยกประเภทการจัดเก็บข้อมูล เป็น 2 ประเภท คือ 1) เครื่องปรับอากาศเครื่องที่ 1 ล้างทำความสะอาดแล้วทำการเก็บข้อมูลทุกๆ 1 เดือน เป็นระยะเวลา 6 ครั้งโดยไม่ทำความสะอาดเพื่อหาการเสื่อมประสิทธิภาพเนื่องจากความสกปรก และ 2) เครื่องปรับอากาศเครื่องที่ 2 ล้างทำความสะอาดทุกเดือนทำให้เครื่องสะอาดอยู่เสมอเพื่อใช้ปรับแก้พลังไฟฟ้าเนื่องจากอุณหภูมิภายนอกที่เปลี่ยนไป และนำข้อมูลมาวิเคราะห์หาประสิทธิภาพ ซึ่งขึ้นกับตัวแปรอิสระที่ใช้ศึกษาคือ อุณหภูมิภายในห้องปรับอากาศ อุณหภูมิภายนอกห้อง ภาระทำความเย็น และความสกปรก การหาระยะเวลาที่เหมาะสมในการทำความสะอาดเครื่องปรับอากาศแบบแยกส่วนนั้น คิดจากราคาค่าใช้จ่ายต่ำสุดซึ่งประกอบด้วยค่าทำความสะอาดและค่าพลังงานไฟฟ้าที่เพิ่มขึ้นเนื่องจากความสกปรก จากการวิเคราะห์พบว่า อัตราการลดลงของประสิทธิภาพเครื่องปรับอากาศแบบแยกส่วน คือ ร้อยละ 3.01 ต่อเดือน และระยะเวลาที่เหมาะสมในการทำความสะอาดเครื่องปรับอากาศแบบแยกส่วน คือ ทุกๆ ระยะเวลา 3 เดือน
การพัฒนาระบบติดตามสถานะรถยนต์สำหรับธุรกิจแบ่งปันรถยนต์โดยใช้ช่อง Obd-Ii, สรวิชญ์ สาครินทร์
การพัฒนาระบบติดตามสถานะรถยนต์สำหรับธุรกิจแบ่งปันรถยนต์โดยใช้ช่อง Obd-Ii, สรวิชญ์ สาครินทร์
Chulalongkorn University Theses and Dissertations (Chula ETD)
ในช่วงไม่กี่ปีที่ผ่านมานี้ ธุรกิจแบ่งปันรถเช่าทั่วโลกเติบโตขึ้นอย่างมาก แต่การเช่ารถยนต์นั้นยังมีปัญหาอยู่สองข้อคือความไม่สะดวกต่อการทำสัญญาเช่ารถยนต์และการที่ไม่สามารถติดตามสถานะของรถยนต์ได้ เพื่อที่จะติดตามสถานะของถยนต์ เราต้องการระบบที่สามารถดึงข้อมูลดิบจากรถยนต์ส่งขึ้นสู่คลาวเซิฟเวอร์ในเวลาจริง ในช่วงเวลาเดียวกัน เทคโนโลยีอินเทอร์เน็ตทุกสรรพสิ่งได้ถูกนำไปใช้ในหลายๆอุตสาหกรรมเพื่อเพิ่มศักยภาพในการทำงาน เช่นอุตสาหกรรมการแพทย์ การเกษตร และการขนส่งอัจฉริยะ ดังนั้นธุรกิจแบ่งปันรถเช่านั้นจึงยังมีช่องว่างสำหรับการพัฒนาเพิ่มเติมด้วยเทคโนโลยีนี้เช่นกัน งานวิจัยนี้ได้ทำการพัฒนาอุปกรณ์สำหรับเชื่อมต่อภายในรถยนต์เรียกว่ากล่องโคบอกซ์ อุปกรณ์สามารถดึงข้อมูลที่ต้องการจากรถยนต์และสั่งล้อคหรือปลดล้อคได้ด้วยช่องโอบีดีทู อุปกรณ์สามารถรับสัญญาณตำแหน่งจีพีเอสและส่งข้อมูลที่ต้องการสู่คลาวไฟร์เบสเซิฟเวอร์ได้บนเวลาจริง อย่างไรก็ตาม ระบบติดตามสถานะของรถยนต์นี้สามารถทำงานได้ดีในรถยนต์ Toyota Altis 2016 เท่านั้น ผู้วิจัยจึงมีแผนในการพัฒนาระบบติดตามเพื่อรองรับกับรถยนต์รุ่นต่างๆต่อไปในอนาคต
Structural Performance Evaluation Of Dynamic Message Signs With Adhesive And Welded Joints, Ibin Amatya
Structural Performance Evaluation Of Dynamic Message Signs With Adhesive And Welded Joints, Ibin Amatya
Electronic Theses and Dissertations
The ultimate objective of this study was to determine the structural performance of the Dynamic Message Sign (DMS) bonded with chemical adhesive in terms of ultimate strength and fatigue strength. To achieve this objective, this study first investigated the effects of various parameters, including humidity and temperature on tensile, shear, peel, and cleavage strength through small-scale tests of adhesive specimens with variation in specimen width. The tensile, shear, peel, and cleavage specimens were conditioned in a temperature-humidity controlled chamber prior to its testing. The tensile, shear, peel, and cleavage specimens with different widths were tested according to American Society for …
Investigating The Feasibility, Procedures, Benefits, And Challenges Of Using Mixed Reality In Construction Projects: An Electrical Layout Case Study, Samjhana Shakya
Investigating The Feasibility, Procedures, Benefits, And Challenges Of Using Mixed Reality In Construction Projects: An Electrical Layout Case Study, Samjhana Shakya
Electronic Theses and Dissertations
Innovation and development of technology in the field of visualization have affected the way of designing, presenting, and interacting of the design in the architecture and construction industry. With the invention of the Mixed Reality (MR) device, HoloLens, 2016, many researchers and construction practitioners have marched their research of implementing the MR application in the construction industry. However, there is scarce research on the MR application review, the workflow of using BIM models with the HoloLens, its implementation in the site, and the benefits and challenges of the MR application in the construction site. The gap in the research needs …
Internet Of Things Based Wireless Sensor Network And Advanced Machine Learning Models For Precision Agriculture, Ahmed El-Magrous
Internet Of Things Based Wireless Sensor Network And Advanced Machine Learning Models For Precision Agriculture, Ahmed El-Magrous
Electronic Theses and Dissertations
Recent studies assumed that the world population would reach 10.3 billion by 2070. This will require more land for housing; simultaneously resulting in a loss of land for agricultural purposes. However, the new generations also need food, and the lack of new agrarian land is a critical reason that leads researchers and producers to improve daily agriculture practices by using precision agriculture concepts and technologies to increase yield and crop quality. This work represents the design, development, and testing of a customizable and cost-effective Weather-Soil Sensor Station (W-SSS) for use in Precision Agriculture based on high accuracy sensors, wireless communication, …