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Predicting Quality Of Life In Driving Scene Using Image Recognition Techniques And User Group Information, Ployrada Suvarnakuta Jan 2024

Predicting Quality Of Life In Driving Scene Using Image Recognition Techniques And User Group Information, Ployrada Suvarnakuta

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study presents a machine learning approach for predicting perceived urban Quality of Life (QoL) by integrating visual features from street-level imagery with personal attributes, including demographic, socioeconomic, and travel behavior data. Using datasets from Bangkok and London, we trained supervised models—Support Vector Machines and Multilayer Perceptrons—under multiple input configurations to evaluate the contribution of each data type. Results show that combining visual and personal features improves prediction accuracy compared to using visual features alone. Statistical feature selection identified income, education, housing stability, and travel patterns as consistently important predictors, with some variation across urban contexts. These findings underscore the …

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การศึกษาคุณลักษณะด้านการออกแบบของแบตเตอรี่ลิเธียมไอออนทรงกระบอกชนิด 18650 ที่มีอัตราส่วนกำลังต่อพลังงานต่างกัน, ภูมิวริสส์ วงษ์ถาวร Jan 2024

การศึกษาคุณลักษณะด้านการออกแบบของแบตเตอรี่ลิเธียมไอออนทรงกระบอกชนิด 18650 ที่มีอัตราส่วนกำลังต่อพลังงานต่างกัน, ภูมิวริสส์ วงษ์ถาวร

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้เป็นการศึกษาแบตเตอรี่ลิเธียมไอออนชนิด 18650 ที่มีจำหน่ายในเชิงพาณิชย์ โดยมีวัตถุประสงค์เพื่อศึกษา และ วิเคราะห์คุณสมบัติทางกายภาพ ทางไฟฟ้า และ ทางเคมีของเซลล์แบตเตอรี่ ที่มีอัตราส่วนกำลังต่อพลังงานที่แตกต่างกันรวมไปถึงการเปรียบเทียบพารามิเตอร์ด้านการออกแบบของเซลล์แบตเตอรี่ และ สร้างความสัมพันธ์ระหว่างพารามิเตอร์ด้านการออกแบบ และ คุณสมบัติด้านต่าง ๆ กับ อัตราส่วนกำลังต่อพลังงาน ตัวอย่างเซลล์แบตเตอรี่ลิเธียมไอออนที่มีอัตราส่วนของกำลังต่อพลังงานที่แตกต่างกัน 4 ตัวอย่าง ถูกนำมาวิเคราะห์คุณสมบัติทางกายภาพ ได้แก่ ขนาดความกว้าง ความยาว และน้ำหนักของแบตเตอรี่ และวิเคราะห์คุณสมบัติทางไฟฟ้า ได้แก่ ความจุพลังงาน กำลังไฟฟ้า และความต้านทานภายใน ซึ่งวิเคราะห์โดยอ้างอิงตามมาตรฐาน IEC62660 โดยค่าอัตราส่วนของกำลังต่อพลังงานของเซลล์แบตเตอรี่ สามารถคำนวณได้จากการทดสอบดังกล่าว และมีค่าเรียงลำดับจากน้อยไปหามากดังนี้ 3.23 , 8.00 , 11.70 และ 12.97 W/Wh จากนั้นเซลล์แบตเตอรี่จะถูกแยกส่วนประกอบเพื่อวิเคราะห์ถึงลักษณะทางกายภาพของส่วนประกอบ ได้แก่ ความยาว ความหนาของขั้วอิเล็กโทรดและตัวรับกระแสไฟฟ้า ค่าการนำไฟฟ้าของขั้วอิเล็กโทรด และ โครงสร้างของขั้วอิเล็กโทรด กับ เยื่อเลือกผ่าน ได้แก่ ขนาดอนุภาคของวัสดุทำขั้ว และ ลักษณะสัณฐานวิทยาของเยื่อเลือกผ่าน ซึ่งจะถูกวิเคราะห์โดยกล้องจุลทรรศน์อิเล็กตรอนแบบส่องกราด รวมไปถึงวิเคราะห์คุณสมบัติทางเคมี โดยการวิเคราะห์องค์ประกอบทางเคมีบนขั้วอิเล็กโทรด ซึ่งจากการวิเคราะห์พบว่า จากการวิเคราะห์คุณสมบัติทางไฟฟ้าของแบตเตอรี่ลิเธียมไอออนที่มีความสามารถในการให้กำลังไฟฟ้าสูง จะมีอัตราส่วนกำลังต่อพลังงานสูงกว่า มีแนวโน้มค่าความต้านทานภายในที่ต่ำกว่า และมีค่าการนำไฟฟ้าที่สูงกว่า แบตเตอรี่ลิเธียมไอออนที่มีความสามารถในการเก็บความจุพลังงานสูง จากการวิเคราะห์คุณสมบัติทางกายภาพพบว่าแบตเตอรี่ลิเธียมไอออนที่มีความสามารถในการให้กำลังไฟฟ้าสูง จะมีความยาวของขั้วอิเล็กโทรดที่มากกว่า แบตเตอรี่ลิเธียมไอออนที่มีความสามารถในการเก็บความจุพลังงานสูง แต่จะมีความหนา และขนาดของอนุภาคของขั้วอิเล็กโทรดน้อยกว่าแบตเตอรี่ลิเธียมไอออนที่มีความสามารถในการเก็บความจุพลังงานสูง และจากการวิเคราะห์คุณสมบัติทางเคมีบว่าแบตเตอรี่ที่ทำการทดสอบนั้นมีองค์ประกอบทางเคมีของขั้วแคโทด และ แอโนดเดียวกัน คือ NMC811 และ กราไฟต์ กับ ซิลิกอน

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Thai-English Supported Automatic Speech Recognition For Endoscopic Reporting, Arpanant Saeng-Xuto Jan 2024

Thai-English Supported Automatic Speech Recognition For Endoscopic Reporting, Arpanant Saeng-Xuto

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis presents the automatic speech recognition (ASR) system for endoscopic reporting that supports Thai-English code-switching. During endoscopic procedures, gastroenterologists are required to use both hands to handle instruments, thereby complicating the real-time documentation of abnormal findings. While recent advances in speech recognition offer promising solutions, existing models face difficulties with Thai-English code-switching and tend to overfit when fine-tuned on limited datasets. To overcome these limitations, we propose an ASR model enhanced with the Mixture of Experts (MoE) technique to improve transcription accuracy. Furthermore, the Named Entity Recognition (NER) model extracts gastrointestinal (GI) terminology from the transcriptions and classifies its …

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Real-Time Occupancy-Based Control Of Hvac Systems In Office Buildings Considering Energy Saving And Thermal Comfort, Emmanuel Agabi Jan 2024

Real-Time Occupancy-Based Control Of Hvac Systems In Office Buildings Considering Energy Saving And Thermal Comfort, Emmanuel Agabi

Chulalongkorn University Theses and Dissertations (Chula ETD)

Traditional heating, ventilation, and air conditioning (HVAC) control systems often waste energy and fail to maintain thermal comfort due to their reliance on static setpoints, manual on/off control, and limited responsiveness to occupancy and weather conditions. With advancements in the Internet of Things (IoT), integrating occupancy data into building energy management systems, including HVAC systems, has progressed beyond conventional sensor-based approaches. This thesis addresses the inefficiency of traditional control of HVAC systems by proposing two strategies for a single-zone office building. The first one is occupancy-based control (OBC), and the second is data-driven supervisory model predictive control (SMPC). By leveraging …

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Development Of Regional Severity-Duration-Frequency (Sdf) Curves In Cambodia Using Standardized Precipitation Index (Spi), Sophanny Phan Jan 2024

Development Of Regional Severity-Duration-Frequency (Sdf) Curves In Cambodia Using Standardized Precipitation Index (Spi), Sophanny Phan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Drought is one of the most destructive natural hazards that causes scarcity and lack of water in hydrological basins and impacts economic, social, and environmental system. This study aims to develop Severity-Duration-Frequency (SDF) curves to provide a comprehensive characterization of droughts in the Lower Mekong River Basin in Cambodia from 1985 to 2022. A Bayesian bias correction technique was applied to improve reanalysis rainfall data from ERA-5, resulting in enhanced accuracy which evidenced by an 11% increase in correlation coefficients (R), a 9% improvement in Nash-Sutcliff efficiency (NSE), and a 45% reduction in RMSE. The corrected rainfall data were then …

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แพลตฟอร์มดิจิทัลที่ใช้การจำลองสารสนเทศอาคารสำหรับวางแผนและดำเนินการโครงการปรับปรุงอาคารที่มีอยู่ให้ได้รับการรับรองมาตรฐาน Leed, เพ็ญกัญญา ไพศาลเกียรติกุล Jan 2024

แพลตฟอร์มดิจิทัลที่ใช้การจำลองสารสนเทศอาคารสำหรับวางแผนและดำเนินการโครงการปรับปรุงอาคารที่มีอยู่ให้ได้รับการรับรองมาตรฐาน Leed, เพ็ญกัญญา ไพศาลเกียรติกุล

Chulalongkorn University Theses and Dissertations (Chula ETD)

อาคารที่มีอยู่มักจะส่งผลกระทบต่อสิ่งแวดล้อมเป็นอย่างมาก โดยเฉพาะช่วงดำเนินการและบำรุงรักษาอาคาร (operation and maintenance, O&M) ซึ่งมีการปล่อยคาร์บอนและใช้ทรัพยากรอย่างต่อเนื่อง การปรับปรุงให้เป็นอาคารเขียว (green retrofitting) เป็นแนวทางสำคัญในการเพิ่มประสิทธิภาพการใช้พลังงาน ลดผลกระทบต่อสิ่งแวดล้อม และยกระดับคุณภาพชีวิตของผู้ใช้งานอาคาร งานวิจัยนี้พัฒนาแพลตฟอร์มดิจิทัลซึ่งใช้การจำลองสารสนเทศอาคาร (building information modeling, BIM) เพื่อรวบรวมและแสดงข้อมูลที่จำเป็นสำหรับวางแผนและดำเนินการโครงการปรับปรุงอาคารที่มีอยู่ให้เป็นอาคารเขียวตามมาตรฐาน LEED V4.0 O+M แพลตฟอร์มดิจิทัลนี้ประกอบด้วย 4 มอดูลหลัก ได้แก่ 1) มอดูลจัดเตรียมข้อมูลจากแบบจำลอง BIM และแหล่งข้อมูลอื่น ๆ 2) มอดูลวิเคราะห์เครดิต LEED เพื่อสนับสนุนการตัดสินใจ 3) มอดูลวางแผนและควบคุมโครงการโดยติดตามสถานะเครดิตและเอกสาร และ 4) มอดูลรายงานและแสดงผลเพื่อสนับสนุนการดำเนินโครงการ แพลตฟอร์มนี้จะสามารถช่วยที่ปรึกษาอาคารเขียว ผู้จัดการโครงการ และเจ้าของโครงการในกระบวนการวางแผนและดำเนินงาน โดยผู้ร่วมโครงการทุกคนจะทำงานบนฐานข้อมูลเดียวกัน ทุกฝ่ายจะเข้าใจบทบาทและกิจกรรมที่ต้องดำเนินการในแต่ละช่วงของโครงการอย่างชัดเจน นอกจากนั้นแพลตฟอร์มยังช่วยจัดการข้อมูลอย่างเป็นระบบและมีประสิทธิภาพ เพื่อเพิ่มโอกาสในการบรรลุเป้าหมายความยั่งยืนตามมาตรฐาน LEED V4.0 O+M

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Simulation Study For Enhancing Thermal Performance Of Cotton Facemasks Through Integration Of Organic Phase Change Materials, Poptham Chaviengpop Jan 2024

Simulation Study For Enhancing Thermal Performance Of Cotton Facemasks Through Integration Of Organic Phase Change Materials, Poptham Chaviengpop

Chulalongkorn University Theses and Dissertations (Chula ETD)

Climate change has caused temperature extremities around the world. Maintaining body temperature against cold temperatures is important for preventing long term health risks. PCM incorporated facemasks offers the solution to this problem. In this study, computational fluid dynamics utilizing laminar flow of air in a simulated wind chamber is used to model the human breathing cycle in cold environments (0-10°C) through four different types of PCM incorporation facemasks (random, coating, hollow fiber, and lamination) used in the industry and three separate PCM candidates (n-octadecane, capric acid, and PEG-600). The findings indicates that the facemask utilizing the coating PCM incorporation method …

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Photocatalytic Activity Of N, S-Cqds/Tio2 Composites For The Degradation Of Methylene Blue Under Light Irradiation, Thanyapak Akkharaamnuay Jan 2024

Photocatalytic Activity Of N, S-Cqds/Tio2 Composites For The Degradation Of Methylene Blue Under Light Irradiation, Thanyapak Akkharaamnuay

Chulalongkorn University Theses and Dissertations (Chula ETD)

Water pollution from synthetic dyes like methylene blue (MB), especially from textile industries, poses serious environmental challenges due to their resistance to conventional treatment. This study focuses on the develops nitrogen and sulfur co-doped carbon quantum dots (N, S-CQDs) incorporated into titanium dioxide (TiO2) for the degradation of methylene blue under light irradiation. The composites were calcined at 400 °C and 500 °C to investigate the effect of calcination temperature on photocatalytic performance. Characterization was conducted using techniques such as XRD, SEM-EDX, TEM, FT-IR, UV–Vis spectroscopy, Photoluminescence, and BET analysis. The results revealed that increasing the calcination temperature enhanced crystallinity, …

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Using Obstacle Trenches For Enhancing Microplastic Trapping In Microwells, Teeraphat Kongsaktrakul Jan 2024

Using Obstacle Trenches For Enhancing Microplastic Trapping In Microwells, Teeraphat Kongsaktrakul

Chulalongkorn University Theses and Dissertations (Chula ETD)

The particle trapping efficiency of microwells is influenced by the fluid flow velocity. If the flow velocity is too slow, trapping will take longer. In contrast, if the flow velocity is too fast, the trapping efficiency will decrease. Therefore, deceleration near the microwells is important for increasing trapping efficiency. The aim of this study is to investigate important factors that affect local flow velocity and trapping efficiency. This includes the presence of obstacle trenches, flow rates, particle concentrations, particle sizes, and surface materials. Two models were investigated and compared: one with triangular obstacle trenches placed in front of the microwells …

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Regeneration Of Carbon Dioxide-Rich Amines Via Mineralization, Tanasorn Thumpanisakool Jan 2024

Regeneration Of Carbon Dioxide-Rich Amines Via Mineralization, Tanasorn Thumpanisakool

Chulalongkorn University Theses and Dissertations (Chula ETD)

Carbon dioxide (CO2) a major driver of the increasing greenhouse effect, making the development of CO2 capture and utilization technologies. Although monoethanolamine (MEA) is a highly efficient sorbent, the energy cost of its thermal regeneration remains a significant challenge. This thesis investigates a low-energy regeneration route for MEA based on mineralized CO2. Especially, the study systematically investigates the effects of MEA concentration, calcium source selection, and amine regeneration mechanisms. A 5 M MEA solution achieved a CO2 loading capacity up to 2.9 mol/L. However, mineralization with CaSO4 alone resulted in irreversible MEA protonation and poor reusability. Mechanistic analysis revealed that …

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Development Of Spinal Tethering Device For Posterior Lumbar Interbody Fusion: A Finite Element Study, Nuttawut Janwimaluang Jan 2024

Development Of Spinal Tethering Device For Posterior Lumbar Interbody Fusion: A Finite Element Study, Nuttawut Janwimaluang

Chulalongkorn University Theses and Dissertations (Chula ETD)

Adjacent Segment Disease (ASDis) is the complication occurring after Posterior Lumbar Interbody Fusion (PLIF) surgery due to increased mechanical stress at adjacent unfused segments. Tethering techniques have been studied to mitigate the risk of ASDis by adjusting the spinal load distribution. This study investigates the biomechanical effects of tethering with Finite Element Analysis (FEA), using a validated L1-L5 spine finite element model focusing on Intervertebral Disc (IVD) pressure and Range of Motion (ROM). The model was applied in four movement directions (Flexion, Extension, Lateral bending, Axial rotation) with tethering applied at the spinous process under two pretension forces (25 N …

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Design And Development Of A Sustainable Ethylene Glycol Production Process Via Electrochemical Co2 Reduction, Nichapat Leelalertwong Jan 2024

Design And Development Of A Sustainable Ethylene Glycol Production Process Via Electrochemical Co2 Reduction, Nichapat Leelalertwong

Chulalongkorn University Theses and Dissertations (Chula ETD)

Addressing the critical issue of rising atmospheric CO2 concentrations and their impact on climate change necessitates innovative technological solutions. This study presents a novel and sustainable method for producing ethylene glycol, commonly used in antifreeze, polyester, and various industrial applications, through electrochemical CO2 reduction, offering a lower environmental impact compared to conventional coal-based or biomass-based processes. This process is known as the "OCEAN" technique, which utilizes oxalic acid as a key intermediate to enhance efficiency and minimize unwanted byproducts. The process was simulated in Aspen Plus to evaluate both technological performance and environmental impact. CO2 is converted to oxalic acid …

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Enhancing Energy Efficiency In Kubernetes Cluster Through Energy-Aware Resource Scheduling By Node Labeling Assignment, Soundharya Moorthi Jan 2024

Enhancing Energy Efficiency In Kubernetes Cluster Through Energy-Aware Resource Scheduling By Node Labeling Assignment, Soundharya Moorthi

Chulalongkorn University Theses and Dissertations (Chula ETD)

As the demand for cloud-native infrastructure grows, managing energy becomes increasingly essential for small-scale and large-scale Kubernetes clusters. This research introduces two scheduling strategies to enhance energy usage in Kubernetes clusters: the energy-aware resource scheduler and the adaptive energy-aware resource scheduler. Both approaches aim to reduce energy consumption by dynamically managing node states and workload assignments based on resource utilization. Both schedulers are implemented as extenders on top of the default Kubernetes scheduler. A comparative evaluation against the default Kubernetes scheduler and the bin packing scheduler, using power and energy utilization metrics, demonstrates that while the energy-aware scheduler achieves notable …

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Modernizing And Harmonizing Regulatory Data Requirements For Genetically Modified Crops-Perspectives From A Workshop, Nicholas P Storer, Abigail R Simmons, Jordan Sottosanto, Jennifer A Anderson, Ming Hua Huang, Debbie Mahadeo, Carey A Mathesius, Mitscheli Sanches Da Rocha, Shuang Song, Ewa Urbanczyk-Wochniak Jan 2024

Modernizing And Harmonizing Regulatory Data Requirements For Genetically Modified Crops-Perspectives From A Workshop, Nicholas P Storer, Abigail R Simmons, Jordan Sottosanto, Jennifer A Anderson, Ming Hua Huang, Debbie Mahadeo, Carey A Mathesius, Mitscheli Sanches Da Rocha, Shuang Song, Ewa Urbanczyk-Wochniak

Faculty, Staff and Student Publications

Genetically modified (GM) crops that have been engineered to express transgenes have been in commercial use since 1995 and are annually grown on 200 million hectares globally. These crops have provided documented benefits to food security, rural economies, and the environment, with no substantiated case of food, feed, or environmental harm attributable to cultivation or consumption. Despite this extensive history of advantages and safety, the level of regulatory scrutiny has continually increased, placing undue burdens on regulators, developers, and society, while reinforcing consumer distrust of the technology. CropLife International held a workshop at the 16th International Society of Biosafety Research …

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Stakeholder Information Interdependence Mapping For Area-Business Continuity Management: A Case Study Of Flood In Industrial Areas In Thailand, Penpitcha Arayachookiat Jan 2024

Stakeholder Information Interdependence Mapping For Area-Business Continuity Management: A Case Study Of Flood In Industrial Areas In Thailand, Penpitcha Arayachookiat

Chulalongkorn University Theses and Dissertations (Chula ETD)

The great flood of 2011 in Thailand significantly disrupted supply chains and caused substantial economic damage. The concept of Area-Business Continuity Management (Area-BCM) was developed. This concept aims to enable vulnerable areas to maintain operations during crises. This research focuses on understanding the information interdependence among stakeholders involved in Area-BCM. Its objective is to develop an information interdependence map for Area-BCM, using a case study of flood events in three industrial areas in Phra Nakhon Si Ayutthaya Province. The study employed a qualitative research approach, collecting and analyzing data through in-depth interviews with various stakeholders. The data analyzed was then …

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Experimental And Modeled Assessment Of Interventions To Reduce Pm2.5 In A Residence During Awildfire Event, Chrissi Argyro Antonopoulos, H. E. Dillon, Elliott T. Gall Jan 2024

Experimental And Modeled Assessment Of Interventions To Reduce Pm2.5 In A Residence During Awildfire Event, Chrissi Argyro Antonopoulos, H. E. Dillon, Elliott T. Gall

Mechanical and Materials Engineering Faculty Publications and Presentations

Increasingly large and frequent wildfires affect air quality even indoors by emitting and dispersing fine/ultrafine particulate matter known to pose health risks to residents. With this health threat, we are working to help the building science community develop simplified tools that may be used to estimate impacts to large numbers of homes based on high-level housing characteristics. In addition to reviewing literature sources, we performed an experiment to evaluate interventions to mitigate degraded indoor air quality. We instrumented one residence for one week during an extreme wildfire event in the Pacific Northwest. Outdoor ambient concentrations of PM2.5 reached historic …

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A Review On Biochar As An Adsorbent For Pb(Ii) Removal From Water, Pushpita Kumkum, Sandeep Kumar Jan 2024

A Review On Biochar As An Adsorbent For Pb(Ii) Removal From Water, Pushpita Kumkum, Sandeep Kumar

Civil & Environmental Engineering Faculty Publications

Heavy metal contamination in drinking water is a growing concern due to its severe health effects on humans. Among the many metals, lead (Pb), which is a toxic and harmful element, has the most widespread global distribution. Pb pollution is a major problem of water pollution in developing countries and nations. The most common sources of lead in drinking water are lead pipes, faucets, and plumbing fixtures. Adsorption is the most efficient method for metal removal, and activated carbon has been used widely in many applications as an effective adsorbent, but its high production costs have created the necessity for …

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Non-Invasive Monitoring Device For Early Detection Of Breast Cancer Related Lymphedema, Amy Prendergast Jan 2024

Non-Invasive Monitoring Device For Early Detection Of Breast Cancer Related Lymphedema, Amy Prendergast

Honors Theses and Capstones

Breast Cancer Related Lymphedema (BCRL) is a common co-morbidity in cancer survivors following neoadjuvant therapies such as chemotherapy, radiation, and/or surgery. It is brought about by the disruption in the lymphatic system (think lymph node biopsy) that leads to a buildup of lymphatic fluid in the arm. Current diagnostic strategies for this condition are merely retroactive, and fairly limited in the parameters that are examined to ensure patient well-being long term. We hypothesize that with an approach that mimics bioimpedance spectroscopy analysis, we will be able to provide a clinical support tool that would better determine early stages of lymphedema …

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Political Prioritization For Digital Health And Health Equity Through Global Health Diplomacy, Vijay Kumar Chattu, Sujatha Alla, Bawa Singh Jan 2024

Political Prioritization For Digital Health And Health Equity Through Global Health Diplomacy, Vijay Kumar Chattu, Sujatha Alla, Bawa Singh

Engineering Management & Systems Engineering Faculty Publications

[Introduction] We have found the article "Digital health and health equity: How digital health can address healthcare disparities and improve access to quality care in Africa" published in the recent issue to be very relevant and interesting.¹ Qoseem et al have highlighted that there is a great need for continuous advocacy for strengthening the health systems through telehealth promotion and increasing access to healthcare services to achieve health equity.

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Integrative Machine Learning Approaches For Enhanced Classification Of Genomic Sequences: A Next-Generation Sequencing Perspective, Sujatha Alla, Nagesh Bheesetty, Sai Gireesh Komaragiri, Prasanthi Chidipudi, Joshit Mohanty, Sathish Kumar Chintala, Jubin Thomas, Jayapal Vummadi, Hemanth Volikatla, Navin Kamuni Jan 2024

Integrative Machine Learning Approaches For Enhanced Classification Of Genomic Sequences: A Next-Generation Sequencing Perspective, Sujatha Alla, Nagesh Bheesetty, Sai Gireesh Komaragiri, Prasanthi Chidipudi, Joshit Mohanty, Sathish Kumar Chintala, Jubin Thomas, Jayapal Vummadi, Hemanth Volikatla, Navin Kamuni

Engineering Management & Systems Engineering Faculty Publications

The advent of Next-Generation Sequencing (NGS) techniques has revolutionized genomic research by enabling the rapid sequencing of DNA and RNA. This data can be used for various applications, including genome sequencing, transcriptome profiling, metagenomics, and epigenetics studies. For this study, DNA classifier dataset was extracted from UCI repository of machine learning databases. This vast amount of genomic data necessitates the development of sophisticated machine learning (ML) models for effective classification and analysis. This study presents a comprehensive comparison of various ML models, including Support Vector Machines (SVM), Random Forests (RF), and Neural Networks (NNs), approaches, in classifying genomic data. We …

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Improving Neuropathological Analysis With Aβgan: Addressing Morphology Imbalance For Efficient Alzheimer's Disease Diagnosis, Sujatha Alla, Prasanthi Chidipudi, Nagesh Bheesetty, Vedvikash Reddy Velur, Joshit Mohanty, Puneeth Bheesetty, Marisha Jmukhadze, Narendra Lakshmana Gowda, Sai Gireesh Komaragiri Jan 2024

Improving Neuropathological Analysis With Aβgan: Addressing Morphology Imbalance For Efficient Alzheimer's Disease Diagnosis, Sujatha Alla, Prasanthi Chidipudi, Nagesh Bheesetty, Vedvikash Reddy Velur, Joshit Mohanty, Puneeth Bheesetty, Marisha Jmukhadze, Narendra Lakshmana Gowda, Sai Gireesh Komaragiri

Engineering Management & Systems Engineering Faculty Publications

Histopathologists are experiencing a digital revolution in their field thanks to the digitization of Whole Slide Images (WSIs), which are microscope slides of tissue that can measure gigapixels in size. With so much high resolution data at their disposal, computer vision techniques can now be used to automate laboratory processes, create visual standards, and increase analysis throughput, all of which reduce the workload of pathologists [1]. The "gold" standard in neuropathology, particularly for Alzheimer's Disease- is pathological diagnosis made by looking at White Matter Inclusions (WSIs) in brain tissue. Semi-quantitative scoring in accordance with the standards established by the Consortium …

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Compton Scattering Of Mammographic Soft X-Ray Beams By Alkali And Transition Metal Salt Filters Produce X-Ray Interference Zones That May Have Treatment Potential For Localized Cancer Lesions, Subhendra N. Sarkar, Eric Lobel, Sabina Rakhmatova, Derbie Desir, Somdat Kissoon, Daler Djuraev, Katie Tam Jan 2024

Compton Scattering Of Mammographic Soft X-Ray Beams By Alkali And Transition Metal Salt Filters Produce X-Ray Interference Zones That May Have Treatment Potential For Localized Cancer Lesions, Subhendra N. Sarkar, Eric Lobel, Sabina Rakhmatova, Derbie Desir, Somdat Kissoon, Daler Djuraev, Katie Tam

Publications and Research

In breast x-ray imaging scattered radiation adds 50% of harmful radiation dose from anisotropic Compton scattering mechanism. We have been working with double layered inorganic salt materials that can induce Compton scattering to the incident mammographic x ray beams (in 20-30 kVp range) with adequate isotropy (angular control). Typically metal nitrates and alkali halide salt layers are shown here to cause low energy radiation interference zones with high and low photon intensities and local flux heterogeneity in terms of flux covariance. Spatial variation of low energy photon flux creates concentrated and sparse radiation zones that may be used to induce …

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Aerosol Jet Printing Of Surface Acoustic Wave Microfluidic Devices, Joseph Rich, Brian Cole, Teng Li, Brandon Lu, Hanyu Fu, Brittany N. Smith, Jianping Xia, Shujie Yang, Ruoyu Zhong, James L. Doherty, Kanji Kaneko, Hiroaki Suzuki, Zhenhua Tian, Aaron D. Franklin, Tony Jun Huang Jan 2024

Aerosol Jet Printing Of Surface Acoustic Wave Microfluidic Devices, Joseph Rich, Brian Cole, Teng Li, Brandon Lu, Hanyu Fu, Brittany N. Smith, Jianping Xia, Shujie Yang, Ruoyu Zhong, James L. Doherty, Kanji Kaneko, Hiroaki Suzuki, Zhenhua Tian, Aaron D. Franklin, Tony Jun Huang

Faculty Publications

The addition of surface acoustic wave (SAW) technologies to microfluidics has greatly advanced lab-on-a-chip applications due to their unique and powerful attributes, including high-precision manipulation, versatility, integrability, biocompatibility, contactless nature, and rapid actuation. However, the development of SAW microfluidic devices is limited by complex and time-consuming micro/nanofabrication techniques and access to cleanroom facilities for multistep photolithography and vacuum-based processing. To simplify the fabrication of SAW microfluidic devices with customizable dimensions and functions, we utilized the additive manufacturing technique of aerosol jet printing. We successfully fabricated customized SAW microfluidic devices of varying materials, including silver nanowires, graphene, and poly(3,4-ethylenedioxythiophene) polystyrene sulfonate …

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Impact Of Traffic Congestion On Transportation System: Challenges And Remediations - A Review, Hamdy B. Faheem, Amira M. El Shorbagy, Mohamed Elsayed Gabr Jan 2024

Impact Of Traffic Congestion On Transportation System: Challenges And Remediations - A Review, Hamdy B. Faheem, Amira M. El Shorbagy, Mohamed Elsayed Gabr

Mansoura Engineering Journal

Traffic congestion is a growing problem in urban transportation networks around the world, having major consequences for the economy and the environment. As metropolitan populations rise and more people rely on autos for mobility, traffic congestion is becoming more common and severe. This review paper presents an overview of the economic and environmental issues caused by traffic congestion in urban areas, as well as proposed ways to reduce its negative effects. It discusses potential traditional transportation solutions such as traffic management infrastructure development, improving public transportation, and intelligent transportation solutions to address traffic congestion problems such as smart parking systems, …

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An Enhanced Lane Detection Technique Based On Active Learning, Ahmed M. Radwan, Amira Y. Haikal, Hisham E. Gad, Mohamed M. Abdelsalam Jan 2024

An Enhanced Lane Detection Technique Based On Active Learning, Ahmed M. Radwan, Amira Y. Haikal, Hisham E. Gad, Mohamed M. Abdelsalam

Mansoura Engineering Journal

The lane detecting algorithm plays a major role in advanced driver assistance systems (ADAS) and autonomous driving systems. In recent years, deep learning-based lane detection techniques have shown encouraging results; nonetheless, the quality and size of the training data set has a significant impact on how effective these techniques are. Active learning is a technique that can improve the capacity of deep learning-based lane identification systems to repeatedly choose and classify valuable samples from a large body of unlabeled data. In this research, a novel 1-dimensional deep learning approach is used to present an augmented Active Learning based Lane Detection …

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Deep Learning Based Classification Of Focal Liver Lesions With 3 And 4 Phase Contrast-Enhanced Ct Protocols, Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, Mohamed Aouf Jan 2024

Deep Learning Based Classification Of Focal Liver Lesions With 3 And 4 Phase Contrast-Enhanced Ct Protocols, Ahmed El-Emam, Hossam El-Din Moustafa, Mohamed Moawad, Mohamed Aouf

Mansoura Engineering Journal

It had been noticed that 3-phase and 4-phase computed tomography protocols with contrast serve as standard examinations for diagnosing liver tumors. Additionally, many patients require periodic follow-up, which entails significant radiation exposure for them. Advancements in image processing facilitate automated liver lesion segmentation. However, the challenge remains in classifying these small lesions by doctors, especially when the liver has different types of lesions with very little intensity difference. Therefore, deep learning can be utilized for the classification of liver lesions. The present work introduces a CNN-based module for the classification of liver lesions. The module consists of four stages: data …

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An Innovative Covid-19 Patient Recognition Framework, Shereen H. Ali Jan 2024

An Innovative Covid-19 Patient Recognition Framework, Shereen H. Ali

Mansoura Engineering Journal

A virus called COVID-19 has caused devastation throughout the world and is still putting people's lives in jeopardy. It is important to identify COVID-19 patients as soon as possible so that they can be treated and kept from spreading. A new framework for recognizing COVID-19-infected individuals would be provided in this study. The patient’s recognition framework (PRF) is a term used to describe a method for detecting patients. The PRF consists of three stages, which are: the pre-processing stage (P2S), the feature selection stage (FS2), and the classification stage (CS). The P2S extracts a collection of features from CT chest …

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Environmental Impact Assessment Of Water Desalinating Systems: Kuwait As A Case Study, Eissa S. Al-Mutairi, Ibrahim.G. Rashed, Mohamed.M. El-Halwany, Mohamed A. Mosaad Jan 2024

Environmental Impact Assessment Of Water Desalinating Systems: Kuwait As A Case Study, Eissa S. Al-Mutairi, Ibrahim.G. Rashed, Mohamed.M. El-Halwany, Mohamed A. Mosaad

Mansoura Engineering Journal

The challenge of managing water resources is intensifying due to rapid urbanization, population expansion, and the growth of industry and agriculture. Furthermore, the looming threat of climate change significantly impacts both water resources and crop yields. In Kuwait, the majority of its potable water supply is dependent on seawater desalination. Specifically, multistage flash (MSF) desalination accounts for nearly 90% of the country's total desalination capacity, while the remaining 10% is generated using multi-effect distillation (MED) technology. Nevertheless, the environmental repercussions of desalination on Kuwait's ecosystem remain a subject of profound concern. This study employs a comprehensive approach, utilizing peer-reviewed journal …

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Unleashing The Potential: The Impact Of Biophilic Office Design On Enhancing Employee Productivity, Asmaa Elantary Jan 2024

Unleashing The Potential: The Impact Of Biophilic Office Design On Enhancing Employee Productivity, Asmaa Elantary

Mansoura Engineering Journal

The observed landscape influences people in numerous ways, including aesthetic appreciation, health, and well-being. The evidence of health benefits associated with viewing those landscapes has proven exceptional value. A comprehensive review of papers on landscapes and sound effects on health was conducted. According to a growing body of evidence, exposure to visible landscapes positively affects one's health and fitness. The most pressing social and economic challenge now is increasing worker productivity, attracting, and retaining exceptionally talented employees, and improving overall employee performance. This will not happen unless companies provide a safe, comfortable, and stimulating work environment; this will not happen. …

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Smart Agriculture Based On Iot Using Drones: A Survey, Shymaa G. Eladl, Hanaa Y. Zaineldin, Amira Y. Haikal, Mahmoud M. Saafan Jan 2024

Smart Agriculture Based On Iot Using Drones: A Survey, Shymaa G. Eladl, Hanaa Y. Zaineldin, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

Researchers have studied the potential of unmanned aerial vehicles (UAVs) for real-time visual data acquisition and processing using potent deep learning (DL) algorithms over the past few decades. In this regard, drone use in smart cities has become one of the most common uses for them in recent years. UAVs and the Internet of Things (IoTs) are two popular technologies being used in smart agriculture that are ushering in a new era of agriculture by replacing traditional farming methods. The combination of drones and IoT has the potential to drastically change our lives through real-time data collection and analysis that …

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