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Articles 61711 - 61740 of 197945

Full-Text Articles in Engineering

การสรุปใจความสำคัญของข้อความแบบสกัดสำหรับข่าวท่องเที่ยวภาษาไทย, ศรัญญา นาทองห่อ Jan 2020

การสรุปใจความสำคัญของข้อความแบบสกัดสำหรับข่าวท่องเที่ยวภาษาไทย, ศรัญญา นาทองห่อ

Chulalongkorn University Theses and Dissertations (Chula ETD)

ปัจจุบันเทคโนโลยีทางด้านคอมพิวเตอร์มีความสำคัญต่อการดำเนินชีวิตประจำวันของมนุษย์เป็นอย่างมากและยังถือว่าเป็นเครื่องมือที่ใช้ในการอำนวยความสะดวกให้แก่มนุษย์มากมายโดยเฉพาะทางด้านการสื่อสารผ่านสังคมออนไลน์ เพื่อลดเวลาในการอ่านข่าวหรืออ่านบทความและข่าวออนไลน์ต่างๆ จากการวิจัยที่ผ่านมามีการศึกษาและพัฒนาการสรุปใจความสำคัญของภาษาไทยเป็นจำนวนมาก ในงานวิจัยนี้ได้นำเสนอวิธีการสรุปใจความสำคัญจากข่าวการท่องเที่ยวภาษาไทย 2 วิธีคือการเลือกประโยคจากการจัดกลุ่มประโยคด้วยเคมีนและการเลือกประโยคด้วยวิธีหาคำสำคัญประโยคจากหัวข้อข่าว โดยมีการพัฒนาและสร้างคลังข้อมูลรายการคำประสมเพื่อช่วยเพิ่มประสิทธิภาพในการตัดคำ โดยการทดลองนี้ใช้ข้อมูลข่าวการท่องเที่ยวไทย ทั้งหมด 400 ข่าวสำหรับใช้ทดลองในการสรุปใจความสำคัญ และ 5,000 ข่าวสำหรับการสร้างคลังข้อมูลรายการคำประสม การวัดประสิทธิภาพของวิธีการที่นำเสนอ มีการวัดประสิทธิภาพการสรุปใจความสำคัญโดยการเปรียบเทียบผลจากการสรุปที่ได้จากผู้เชี่ยวชาญด้านภาษาไทยเทียบกับผลสรุปที่ได้จากวิธีการที่นำเสนอ จากงานวิจัยนี้ในขั้นตอนการสร้างคำประสมได้คำประสมทั้งหมด จำนวน 2,340 คำ ผลการทดลองพบว่าวิธีตัดคำด้วยคัตคำร่วมกับตัดคำประสมได้ผลดีกว่าการตัดคำจากคัตคำเพียงอย่างเดียว และการสรุปใจความสำคัญโดยใช้การคำนวณค่าน้ำหนักของคำสำคัญโดยหาค่าความถี่ของคำจากหัวข้อข่าวเพียงอย่างเดียวและเลือกประโยคเรียงลำดับจากผลรวมความถี่ของคำสำคัญจากหัวข้อข่าวมีประสิทธิภาพและความแม่นยำสูงสุดโดยมีค่าความแม่นยำ ค่าความระลึกและค่าวัดประสิทธิภาพอยู่ที่ 0.8097 0.8367 และ 0.8216 ตามลำดับและเมื่อใช้คัตคำร่วมกับการตัดคำแบบเอ็นแกรมโดยวิธีการสรุปใจความสำคัญแบบเดียวกันได้ค่าความแม่นยำ ค่าความระลึกและค่าวัดประสิทธิภาพอยู่ที่ 0.8119 0.8398 และ 0.8242 ตามลำดับที่อัตราการบีบอัดร้อยละ 20

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การประเมินระดับความเสี่ยงของต้นไม้ในเมืองด้วยเทคโนโลยีเครื่องสแกนเลเซอร์ภาคพื้นดิน, วาริน ชุบขุนทด Jan 2020

การประเมินระดับความเสี่ยงของต้นไม้ในเมืองด้วยเทคโนโลยีเครื่องสแกนเลเซอร์ภาคพื้นดิน, วาริน ชุบขุนทด

Chulalongkorn University Theses and Dissertations (Chula ETD)

ต้นไม้ในเมืองมีความสำคัญต่อการดำรงชีวิตของคนเมือง ทั้งในด้านการควบคุมสภาพอากาศ ให้ร่มเงา ลดความร้อน และลดมลพิษ แต่อย่างไรก็ตามต้นไม้เหล่านี้อาจเกิดการเสื่อมโทรมและสร้างความเสียหายต่อชีวิตและทรัพย์สินของผู้คนที่สัญจรไปมา จึงจำเป็นต้องมีการประเมินความเสี่ยงของต้นไม้ในเมืองโดยผู้ประเมินความเสี่ยง แต่ปัจจุบันเมืองไทยมีผู้ประเมินจำนวนน้อย จึงต้องใช้เทคโนโลยีสมัยใหม่เข้ามาทำงานด้านรุกขกรรม งานวิจัยในครั้งนี้ แสดงให้เห็นถึงความสามารถในการเก็บข้อมูลต้นไม้ของ TLS และประเมินความเสี่ยงของต้นไม้ได้อย่างแม่นยำ จากข้อมูลต้นจามจุรีทั้งหมด 4 ต้น ข้อมูล TLS สามารถประเมินค่าระดับความเสี่ยงเท่ากับผู้ประเมินความเสี่ยงทั้งหมด 3 ต้น แตกต่างอยู่ 1 ต้น โดยมีค่า R² เท่ากับ 0.818 และค่า RMSE เท่ากับ 0.353 แม้ว่าการศึกษาในครั้งนี้จะให้ผลดีแต่จำนวนตัวอย่างมีน้อยซึ่งอาจไม่เป็นตัวแทนที่ดีของประชากรจึงจำเป็นต้องมีการศึกษาเพิ่มเติมในอนาคตโดยเพิ่มจำนวนตัวอย่างและชนิดของพรรณไม้

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แบบจำลองสถานการณ์ของเหตุการณ์ที่ไม่ต่อเนื่องเพื่อประเมินประสิทธิภาพของท่าเรือบก กรณีศึกษาท่าเรือบกลาดกระบัง, พิพัฒน์ พิมพะนิตย์ Jan 2020

แบบจำลองสถานการณ์ของเหตุการณ์ที่ไม่ต่อเนื่องเพื่อประเมินประสิทธิภาพของท่าเรือบก กรณีศึกษาท่าเรือบกลาดกระบัง, พิพัฒน์ พิมพะนิตย์

Chulalongkorn University Theses and Dissertations (Chula ETD)

ท่าเรือบกเป็นหนึ่งในสิ่งอำนวยความสะดวกหลักในเครือข่ายการขนส่งทางทะเล ที่ช่วยให้ผู้ขนส่งสามารถเข้าถึงภูมิภาคต่าง ๆ ของโลกได้ ผ่านการเชื่อมต่อกับท่าเรือ ในขณะที่ผลกระทบของท่าเรือบกต่อประสิทธิภาพของการขนส่งแบบหลายรูปแบบนั้นค่อนข้างมีความชัดเจนในช่วงเวลาที่ผ่านมา การประเมินประสิทธิภาพของท่าเรือบกเองกลับมีความซับซ้อน เนื่องจากมีความเกี่ยวพันกับผู้ให้บริการที่หลากหลาย ซี่งแต่ละผู้ให้บริการต่างก็บริหารจัดการทรัพยากรภายใน หรือ CHE ที่มีจำนวนแตกต่างกันออกไป ด้วยเหตุดังกล่าว ผู้วิจัยจึงได้นำเสนอแบบจำลองสถานการณ์ของเหตุการณ์ที่ไม่ต่อเนื่อง เพื่อใช้ในการประเมินประสิทธิภาพของท่าเรือบกลาดกระบัง (LICD) ในปัจจุบัน และในอนาคต ผ่านโปรเเกรม SIMIO โดยอ้างอิงจากข้อมูลของ LICD ในปัจจุบัน และแผนการปรับปรุง LICD ใหม่ จากการศึกษา ผู้วิจัยพบว่า เมื่อพิจารณาจากประสิทธิภาพการใช้งานของทรัพยากรภายใน LICD ประสิทธิภาพโดยรวมของ LICD ในปัจจุบันมีค่าค่อนข้างต่ำ โดยเฉพาะอย่างยิ่งสำหรับรถบรรทุกหัวลากภายใน นอกจากนี้ผู้วิจัยยังพบว่า ประสิทธิภาพของการใช้งานทรัพยากรภายในมีแนวโน้มที่เปลี่ยนแปลงไปอย่างเห็นได้ชัด เมื่อมีการเปลี่ยนสัดส่วนการขนส่งตามนโยบายการขนส่งใหม่ ในทำนองเดียวกัน ประสิทธิภาพโดยรวมของ LICD ในอนาคตนั้น ส่วนใหญ่ขึ้นอยู่กับจำนวนของทรัพยากรภายในแต่ละประเภทที่ถูกสรรหามาในแต่ละรอบการสรรหา โดยรถเครนขนถ่ายตู้คอนเทนเนอร์ปกติ หรือ FCL Crane จัดเป็นทรัพยากรภายในหลักที่มีแนวโน้มการใช้งานมากสูงสุด ด้วยเหตุดังกล่าว ผู้วางแผนจึงควรจัดหา FCL Crane ในแต่ละรอบการสรรหาให้เหมาะสมกับจำนวนตู้คอนเทนเนอร์ที่มีการขนถ่ายผ่าน LICD เพื่อให้ LICD สามารถดำเนินการได้อย่างมีประสิทธิภาพสูงสุด

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Smart Inverters For Distributed Pv Network Management, Colin Charles Levis Jan 2020

Smart Inverters For Distributed Pv Network Management, Colin Charles Levis

Theses

Securing a sustainable decarbonised economy involves moving towards a decentralised power system with increasing penetration levels of distributed photovoltaics (PVs) within the low voltage distribution network (LVDN). Increasing penetration levels of PV systems pose challenges for maintaining grid voltage and frequency stability. Thus requires studies and simulations to estimate the needs and technical requirements to overcome the challenges and maximise the opportunities. These simulations require time-domain system models with a high dynamic resolution such as electromagnetic transient (EMT) simulations with small-time steps that capture the required performance with large numbers of network elements. However, the small-time step implies a high …

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Different Treatments Of Biochar Carbon Yp-50f To Enhance Specific Capacitance Of Supercapacitor, Ezaldeen Adhamash Jan 2020

Different Treatments Of Biochar Carbon Yp-50f To Enhance Specific Capacitance Of Supercapacitor, Ezaldeen Adhamash

Electronic Theses and Dissertations

High cost and environmentally unfavorable impacts are the significant difficulties that prohibit renewable energy storage from many applications. To work with these problems, novel renewable materials such as biomass derived carbon that have high surface area and low cost should be used. Renewable biochar carbon YP-50, synthesized from coconut, and activated using different plasma gases including methane (CH4), carbon dioxide (CO2), hydrogen (H2), and argon (Ar). Compared with the conventional activation method, the plasma treatment takes less effort and time. Significant improvements of the specific capacitance (SC) and specific surface area (SSA) were observed …

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Using Computational Fluid Dynamics To Accurately Model Agricultural Spray Nozzles, Zachary Chapman Jan 2020

Using Computational Fluid Dynamics To Accurately Model Agricultural Spray Nozzles, Zachary Chapman

Electronic Theses and Dissertations

Computational fluid dynamics (CFD) is a tool used by engineers in many industries to study fluid flow. A relatively new industry to adopt the use of CFD is the agricultural industry. The present work seeks to understand whether CFD can be used to accurately model spray nozzles. A spray nozzle commonly used in agricultural spraying was simulated. First, the impact of factors such as mesh size, mesh type, and physics models have on the solution were investigated. Next, a method to pulse the spray was determined. This was required to compare simulation results with experimental data. A user-defined function was …

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Semantic Segmentation Using Modified U-Net Architecture For Crack Detection, Michael Sun Jan 2020

Semantic Segmentation Using Modified U-Net Architecture For Crack Detection, Michael Sun

Electronic Theses and Dissertations

The visual inspection of a concrete crack is essential to maintaining its good condition during the service life of the bridge. The visual inspection has been done manually by inspectors, but unfortunately, the results are subjective. On the other hand, automated visual inspection approaches are faster and less subjective. Concrete crack is an important deficiency type that is assessed by inspectors. Recently, various Convolutional Neural Networks (CNNs) have become a prominent strategy to spot concrete cracks mechanically. The CNNs outperforms the traditional image processing approaches in accuracy for the high-level recognition task. Of them, U-Net, a CNN based semantic segmentation …

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Understanding The Effect Of Single- And Twin-Screw Extrusion Processing Parameters On Physical And Physico-Chemical Properties Of Sprouted Quinoa And Sprouted Proso Millets, Gabriela John Swamy Jan 2020

Understanding The Effect Of Single- And Twin-Screw Extrusion Processing Parameters On Physical And Physico-Chemical Properties Of Sprouted Quinoa And Sprouted Proso Millets, Gabriela John Swamy

Electronic Theses and Dissertations

According to Mordor Intelligence Research, the new compositional research and moisture content extrusion process are helping the growth of the plant protein market. The demand for plant proteins is growing at a fast rate, owing to change in lifestyle, lack of balanced dietary intake, and improved research and development in order to develop new kinds of plant-protein enriched products. It is necessary to identify the right plant protein sources and choose the right processing methodology to create highly digestible foods which can be consumed by infants and elderly as well. In addition, it is important to support local farmers and …

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A Series-Elastic Robot For Back-Pain Rehabilitation, Elhussein Shata Jan 2020

A Series-Elastic Robot For Back-Pain Rehabilitation, Elhussein Shata

Electronic Theses and Dissertations

Robotics research has been broadly expanding into various fields during the past decades. It is widely spread and best known for solving many technical necessities in different fields. With the rise of the industrial revolution, it upgraded many factories to use industrial robots to prevent the human operator from dangerous and hazardous tasks. The rapid development of application fields and their complexity have inspired researchers in the robotics community to find innovative solutions to meet the new desired requirements of the field. Currently, the creation of new needs outside the traditional industrial robots are demanding robots to attend to the …

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Effects Of Cellulose Nano-Fiber As An Additive On Performance Of Asphalt Binders And Mixes, Marco Paulo Pereira Castro Jan 2020

Effects Of Cellulose Nano-Fiber As An Additive On Performance Of Asphalt Binders And Mixes, Marco Paulo Pereira Castro

Electronic Theses and Dissertations

Findings of a study conducted on asphalt binders and mixes modified by addition of cellulose nanofiber (CNF) to evaluate the feasibility of them as an additive is presented in the current thesis. Cellulose Acetate (CA) is an ester of cellulose and is obtained by the reaction of cellulose with acetic anhydride and acetic acid in the presence of sulfuric acid. Due to its high temperature sensitivity, high ductility, large surface area, high strain resistance, and low electrical resistivity, cellulose acetate can be used for several application. The question is if CNF can be used as an additive in the asphalt, …

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Pig Pose Estimation Based On Extracted Data Of Mask R-Cnn With Vgg Neural Network For Classifications, Sang Kwan Lee Jan 2020

Pig Pose Estimation Based On Extracted Data Of Mask R-Cnn With Vgg Neural Network For Classifications, Sang Kwan Lee

Electronic Theses and Dissertations

This paper proposes a pig pose estimation operating with Region Proposal Network (RPN) of Mask Region based Convolutional Neural Network (Mask R-CNN) and Visual Geometry Group (VGG) Neural Network (NN). Object pose estimations generates from the associations of different key points. Key points could be explained as specific location of an object such as different joints of a human body or joints of different object. Hourglass network is one of a NN delivering key points of an object. Associating the different key points with the hourglass network results could be represented as instance-level detection [3]. However, the instance-level detection shows …

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Kernel-Controlled Dqn Based Cnn Pruning For Model Compression And Acceleration, Romancha Khatri Jan 2020

Kernel-Controlled Dqn Based Cnn Pruning For Model Compression And Acceleration, Romancha Khatri

Electronic Theses and Dissertations

Apart from the accuracy, the size of convolutional neural networks (CNN) models is another principal factor for facilitating the deployment of models on memory, power and budget constrained devices. However, conventional model compression techniques require human experts to setup parameters to explore the design space which is suboptimal and time consuming. Various pruning techniques are implemented to gain compression, trading off speed and accuracy. Given a CNN model [11], we propose an automated deep reinforcement learning [9] based model compression technique that can effectively turned off kernels on each layer by observing its significance on decision making. By observing accuracy, …

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Strain-Based Mechanical Failure Analysis Of Buried Steel Pipeline Subjected To Landslide Displacement Using Finite Element Method, Sean Goodluck Mamuzo Edeki Jan 2020

Strain-Based Mechanical Failure Analysis Of Buried Steel Pipeline Subjected To Landslide Displacement Using Finite Element Method, Sean Goodluck Mamuzo Edeki

Electronic Theses and Dissertations

Landslide displacement is one of the major threats to the structural integrity of buried oil and natural gas pipelines that are often located far from major markets with terrains prone to permanent ground deformations. These pipelines can experience large longitudinal strains and circumferential deformation resulting from the differential ground movements thereby potentially impacting pipeline safety by adversely affecting structural capacity and leak tight integrity. In order to proffer theoretical basis for the design, safety evaluation and maintenance of pipelines, the failure analysis and mechanical behavior of buried API X65 steel pipeline perpendicularly crossing landslide area was investigated with the Finite …

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Characterization Of Directed Energy Deposition Additively Manufactured Grcop-42 Alloy, Scott Landes Jan 2020

Characterization Of Directed Energy Deposition Additively Manufactured Grcop-42 Alloy, Scott Landes

Electronic Theses and Dissertations

GRCop is an alloy family constructed of copper, chromium, and niobium and was developed by NASA for high heat flux applications. The first of its kind, GRCop-84, was specifically designed for the environments seen by channel cooled main combustion chamber liners. To further increase thermal conductivity while maintaining material strength characteristics, the percentage of alloying elements were cut in half and GRCop- 42 was developed. In recent years, NASA has successfully additively manufactured GRCop with comparable material characteristics to wrought GRCop using a Laser Powder Bed Fusion (L-PBF) process. Benefits of this process include fabrication of intricate cooling channels as …

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Monitoring Methods And Performance Assessment For Implementation Of Low Impact Development Practices In South Dakota, Farhana Akhter Jan 2020

Monitoring Methods And Performance Assessment For Implementation Of Low Impact Development Practices In South Dakota, Farhana Akhter

Electronic Theses and Dissertations

Urbanization increases impervious surface area, which changes the hydrology of a watershed. Impervious surfaces prevent the infiltration of stormwater water into the ground surface which results in a higher volume of stormwater runoff and higher peak flow. Low Impact Development (LID) practices help to restore pre-development hydrology by increasing infiltration, evaporation, and transpiration. While the hydrologic performance of LID practices has been studied extensively and continues to be an area of active research, there has been very limited monitoring or demonstration of LID practices in South Dakota. In addition, municipalities in South Dakota and elsewhere that implement new LID practices …

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Vicarious Methodologies To Assess And Improve The Quality Of The Optical Remote Sensing Images: A Critical Review, Sakib Kabir Jan 2020

Vicarious Methodologies To Assess And Improve The Quality Of The Optical Remote Sensing Images: A Critical Review, Sakib Kabir

Electronic Theses and Dissertations

Over the past decade, number of optical Earth observing satellites performing remote sensing has increased substantially, dramatically increasing the capability to monitor the Earth. The quantity of remote sensing satellite increase is primarily driven by improved technology, miniaturization of components, reduced manufacturing, and launch cost. These satellites often lack on-board calibrators that a large satellite utilizes to ensure high quality (e.g., radiometric, geometric, spatial quality, etc.) scientific measurement. To address this issue, this work presents “best” vicarious image quality assessment and improvement techniques for those kinds of optical satellites which lacks on-board calibration system. In this article, image quality categories …

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Lithium-Ion Battery And Beyond: Oxygen Vacancy Creation In Tungsten Trioxide And Surface Modification Of Lithium Metal, Rajesh Pathak Jan 2020

Lithium-Ion Battery And Beyond: Oxygen Vacancy Creation In Tungsten Trioxide And Surface Modification Of Lithium Metal, Rajesh Pathak

Electronic Theses and Dissertations

The graphite-based anode material has a low theoretical specific capacity of 371 mAh g-1. The transitional metal oxides (TMOs) are considered a better choice owing to their relatively higher specific capacity. Among TMOs, tungsten trioxide (WO3) is considered promising due to a higher specific capacity of 693 mAh g-1, low cost, mechanically stable, and eco-friendly. It has been a challenge to utilize the TMOs as anode materials as they suffer from poor electronic conductivity and large electrode volume expansion during discharge/charge cycles. In our first project, we demonstrate a unique self-recovery of capacity in reduced WO3 by the incorporation of …

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Patch-Based Gaussian Mixture Model For Scene Motion Detection In The Presence Of Atmospheric Optical Turbulence, Richard L. Van Hook, Russell C. Hardie Jan 2020

Patch-Based Gaussian Mixture Model For Scene Motion Detection In The Presence Of Atmospheric Optical Turbulence, Richard L. Van Hook, Russell C. Hardie

Electrical and Computer Engineering Faculty Publications

In long-range imaging regimes, atmospheric turbulence degrades image quality. In addition to blurring, the turbulence causes geometric distortion effects that introduce apparent motion in acquired video. This is problematic for image processing tasks, including image enhancement and restoration (e.g., superresolution) and aided target recognition (e.g., vehicle trackers). To mitigate these warping effects from turbulence, it is necessary to distinguish between actual in-scene motion and apparent motion caused by atmospheric turbulence. Previously, the current authors generated a synthetic video by injecting moving objects into a static scene and then applying a well-validated anisoplanatic atmospheric optical turbulence simulator. With known per-pixel truth …

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Covid-19 And Public Transportation: Current Assessment, Prospects, And Research Needs, Alejandro Tirachini, Oded Cats Jan 2020

Covid-19 And Public Transportation: Current Assessment, Prospects, And Research Needs, Alejandro Tirachini, Oded Cats

Journal of Public Transportation

The COVID-19 pandemic poses a great challenge for contemporary public transportation worldwide, resulting from an unprecedented decline in demand and revenue. In this paper, we synthesize the state-of-the-art, up to early June 2020, on key developments regarding public transportation and the COVID-19 pandemic, including the different responses adopted by governments and public transportation agencies around the world, and the research needs pertaining to critical issues that minimize contagion risk in public transportation in the so-called post-lockdown phase. While attempts at adherence to physical distancing (which challenges the very concept of mass public transportation) are looming in several countries, the latest …

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Extracting Bus Transit Boarding And Alighting Information Using Smart Card Transaction Data, Zhen Chen, Wei Fan Jan 2020

Extracting Bus Transit Boarding And Alighting Information Using Smart Card Transaction Data, Zhen Chen, Wei Fan

Journal of Public Transportation

The smart card–based automated fare collection (AFC) technologies provide new opportunities for transportation data collection since smart card data (SCD) contain a significant amount of archived information that can be gathered and leveraged to help estimate public transit origin-destination (OD) matrices. Both boarding and alighting location detection are important particularly when there is no automatic vehicle location (AVL) system or other information in the database. With the analysis of raw data using limited information in this paper, an algorithm for boarding stop identification is presented after the trip direction and boarding cluster identification. Alighting stops are then identified based on …

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Development Of High-Power Single-Mode Yb-Doped Fiber Amplifiers And Beam Analysis, Steffen Wittek Jan 2020

Development Of High-Power Single-Mode Yb-Doped Fiber Amplifiers And Beam Analysis, Steffen Wittek

Electronic Theses and Dissertations, 2020-2023

High-power fiber laser systems enjoy a widespread use in manufacturing, medical, and defense applications as well as scientific research, due to their remarkable power scalability, high electrical to optical efficiency, compactness and ruggedness. However, single-mode fiber power scaling has stagnated in the past years, primarily due to the onset of nonlinear effects such as stimulated Brillouin/Raman scattering and transverse modal instabilities. This thesis addresses the analysis and mitigation of transverse modal instabilities in high-power fiber amplifiers. I describe the high-power fiber amplifier testbed that I set up to test fibers fabricated in house. I will show our results of a …

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Design Of An Annular Disc-Shaped Heat Pipe For Air-Cooled Steam Condensers, Ahmad Saleh Jan 2020

Design Of An Annular Disc-Shaped Heat Pipe For Air-Cooled Steam Condensers, Ahmad Saleh

Electronic Theses and Dissertations, 2020-2023

Limitations on water utilization are turning into an expanding issue for the power and electricity generation industry. As a contribution to the solution of water consumption problems, utility companies are shifting toward using air-cooled condensers (ACC) in replace to the typical water-cooling methods of once-through cooling and the surface condenser/wet-cooling tower combination. Although the ACC is a dry cooling method, the industry is quite hesitant to switch over to ACC mainly for three reasons: (a) lower power output, (b) higher capital cost, and (c) larger physical footprint. All these drawbacks are because of the high overall thermal resistance of condensing …

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Mobility-As-A-Service: Assessing Performance And Sustainability Effects Of An Integrated Multi-Modal Simulated Transportation Network, Mohamed El-Agroudy Jan 2020

Mobility-As-A-Service: Assessing Performance And Sustainability Effects Of An Integrated Multi-Modal Simulated Transportation Network, Mohamed El-Agroudy

Electronic Theses and Dissertations, 2020-2023

Advances in information technology services have seen profound impacts on the state of transport services in the urban traffic environment. Mobility-as-a-Service (MaaS) represents the digital consolidation of users, operators, and public-private managing entities to provide totally comprehensive, integrated trip-making services. Users now enjoy extra flexibility for trip-making with new modal alternatives such as micro-mobility (e.g Lime Bikes, Spin Scooters) and rideshare (e.g. Lyft, Uber). However, current knowledge on the performance and interactive effects of these newer alternative modes is vague if not inconsistent. As such, these effects were studied through micro-simulation analysis of a multi-modal urban corridor in Orlando, Florida. …

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Novel Computational Approaches For Multidimensional Brain Image Analysis, Harish Raviprakash Jan 2020

Novel Computational Approaches For Multidimensional Brain Image Analysis, Harish Raviprakash

Electronic Theses and Dissertations, 2020-2023

The overall goal of this dissertation is focused on addressing challenging problems in 1D, 2D/3D and 4D neuroimaging by developing novel algorithms that combine signal processing and machine learning techniques. One of these challenging tasks is the accurate localization of the eloquent language cortex in brain resection pre-surgery patients. This is especially important since inaccurate localization can lead to diminshed functionalities and thus, a poor quality of life for the patient. The first part of this dissertation addresses this problem in the case of drug-resistant epileptic patients. We propose a novel machine learning based algorithm to establish an alternate electrical …

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Evaluation Of Safety And Mobility Benefits Of Connected And Automated Vehicles By Considering V2x Technologies, Md Hasibur Rahman Jan 2020

Evaluation Of Safety And Mobility Benefits Of Connected And Automated Vehicles By Considering V2x Technologies, Md Hasibur Rahman

Electronic Theses and Dissertations, 2020-2023

The recent development in communication technologies facilitates the deployment of connected and automated vehicles (CAV) which are expected to change the future transportation system. CAV technologies enable vehicles to communicate with other vehicles through vehicle-to-vehicle (V2V) communications and the infrastructure through Vehicle-to-infrastructure (V2I) communications. Since the real-world CAV data is not currently available as of today, simulation is the most commonly used platform to evaluate the future V2X system. Although several studies evaluated the effectiveness of CAVs in a small roadway network, there is a lack of studies analyzing the impact of CAVs at the network level by considering both …

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Factors Affecting The Performance Of Photo-Voltaic Solar Energy Storage, Vasanth Bhat Jan 2020

Factors Affecting The Performance Of Photo-Voltaic Solar Energy Storage, Vasanth Bhat

Electronic Theses and Dissertations, 2020-2023

One of the most important factors in a nation's development is energy availability. All the aspects of its economy are directly proportional to the energy resources. Oil is one of the most sought energy resources currently. Solar energy is one of the most important renewable sources of energy available to us. With oil deposits depleting and current global warming, there is an emphasis on using more and more renewable sources or clean energy. This has led to immense research on solar cells and how it could better be used to get maximum output. Storage of energy is another aspect that …

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Attosecond Transient Absorption Spectroscopy In The Water Window, Andrew Chew Jan 2020

Attosecond Transient Absorption Spectroscopy In The Water Window, Andrew Chew

Electronic Theses and Dissertations, 2020-2023

The push to study the atomic and molecular dynamics at ever smaller time scales has been the main driving force for developing laser systems with ever shorter pulse durations. Thus far, picosecond lasers and femtosecond lasers have been used with great success in femtochemistry to study molecular dynamics such as molecular rotation and vibration, which all occur in the tens to hundreds of femtosecond. To study electron dynamics however, which are on the order of attoseconds, one needs attosecond laser sources to be able to have the time resolution required to probe ultrafast electron dynamics such as AC Stark shifts, …

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A Deep Learning Approach For Real-Time Crash Risk Prediction At Urban Arterials, Pei Li Jan 2020

A Deep Learning Approach For Real-Time Crash Risk Prediction At Urban Arterials, Pei Li

Electronic Theses and Dissertations, 2020-2023

Real-time crash risk prediction aims to predict the crash probabilities within a short time period, it is expected to play a crucial role in the advanced traffic management system. However, most of the existing studies only focused on freeways rather than urban arterials because of the complicated traffic environment of the arterials. This thesis proposes a long short-term memory convolutional neural network (LSTM-CNN) to predict the real-time crash risk at arterials. The advantage of this model is it can benefit from both LSTM and CNN. Specifically, LSTM captures the long-term dependency of the data while CNN extracts the time-invariant features. …

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Nanofabrication And Characterization Of An Enzyme-Less Electrochemical Biosensor For Creatinine Detection, Anas Belharsa Jan 2020

Nanofabrication And Characterization Of An Enzyme-Less Electrochemical Biosensor For Creatinine Detection, Anas Belharsa

Electronic Theses and Dissertations, 2020-2023

This study will reveal the fabrication and development of an enzyme-less biosensor for creatinine detection. The biosensor involves a periodically patterned nano-porous TiO2 deposited with Au nanoparticles via e-beam evaporation and a layer of Imprinted Polymer (IP) of acrylamide and bis-acrylamide to obtain a heterostructure of I-Au-TiO2. The detection methods of creatinine are based on electrochemical measurements using Cyclic Voltammetry (CV), Electrochemical Impedance Spectroscopy (EIS) and Differential Pulse Voltammetry (DPV). The IP-Au-TiO2 sensor shows a detection LOD of 0.0949ng/mL and 0. 0.218ng/mL for EIS and DPV measurements, respectively. The nanofabricated biosensor was tested in the presents of urea, glucose, lactose, …

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Nanotechnologies: A Review Of Inventions And Utility Models. Part V, L. A. Ivanov, L. D. Xu, E. S. Bokova, A. D. Ishkov Jan 2020

Nanotechnologies: A Review Of Inventions And Utility Models. Part V, L. A. Ivanov, L. D. Xu, E. S. Bokova, A. D. Ishkov

Information Technology & Decision Sciences Faculty Publications

The article provides an abstract review of patents. The results of creative activity of scientists, engineers and specialists, including inventions in the field of nanotechnology and nanomaterials, being implemented, allow achieving a significant effect in construction, housing and community services, and related sectors of the economy. For example, the invention "A method to produce dry construction mixtures" refers to manufacturing of building materials, in particularly, to manufacture of dry construction mixtures (DCM) by the method of joint mechanoactivation of cement and dolomite, with further modification of them with carbon nanostructures (CNT). The technical result of the given method of mixing …

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