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2022

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Articles 3271 - 3300 of 3613

Full-Text Articles in Computer Sciences

Detection Of Epilepsy Using Machine Learning, Balamurugan Murugesan Jan 2022

Detection Of Epilepsy Using Machine Learning, Balamurugan Murugesan

Electronic Theses, Projects, and Dissertations

Epilepsy is a complex neurological disorder characterized by recurrent seizures. An electroencephalogram (EEG) is typically used in the diagnosis of Epilepsy. Normally, EEGs are reviewed and analyzed by trained neurologists, but this can be time-consuming and error-prone. In this paper, we propose combining multiple classifiers in a multi-level fashion using stacked generalization to develop an effective solution for the detection of epilepsy using EEG data. Different classifiers such as Random Forest (RF), Recurrent Neural Networks (RNN), and XGBoost (XGB) were tested. The method was evaluated using Children’s Hospital Boston and Massachusetts Institute of Technology (CHB-MIT) dataset. The experimental results demonstrated …

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High Throughput Analysis Of Leaf Chlorophyll Content In Sorghum Using Rgb, Hyperspectral, And Fluorescence Imaging And Sensor Fusion, Huichun Zhang, Yufeng Ge, Xinyan Xie, Abbas Atefi, Nuwan Wijewardane,, Suresh Thapa Jan 2022

High Throughput Analysis Of Leaf Chlorophyll Content In Sorghum Using Rgb, Hyperspectral, And Fluorescence Imaging And Sensor Fusion, Huichun Zhang, Yufeng Ge, Xinyan Xie, Abbas Atefi, Nuwan Wijewardane,, Suresh Thapa

School of Computing: Faculty Publications

Leaf chlorophyll content plays an important role in indicating plant stresses and nutrient status. Traditional approaches for the quantification of chlorophyll content mainly include acetone ethanol extraction, spectrophotometry and high-performance liquid chromatography. Such destructive methods based on laboratory procedures are time consuming, expensive, and not suitable for high-throughput analysis. High throughput imaging techniques are now widely used for non-destructive analysis of plant phenotypic traits. In this study three imaging modules (RGB, hyperspectral, and fluorescence imaging) were, separately and in combination, used to estimate chlorophyll content of sorghum plants in a greenhouse environment. Color features, spectral indices, and chlorophyll fluorescence intensity …

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Using Deep Learning To Detect Digitally Encoded Dna Trigger For Trojan Malware In Bio‑Cyber Attacks, M. S. Islam, S. Ivanov, H. Awan, J. Drohan, Sasitharan Balasubramaniam, L. Coffey, Srivatsan Kidambi, W. Sri-Saan Jan 2022

Using Deep Learning To Detect Digitally Encoded Dna Trigger For Trojan Malware In Bio‑Cyber Attacks, M. S. Islam, S. Ivanov, H. Awan, J. Drohan, Sasitharan Balasubramaniam, L. Coffey, Srivatsan Kidambi, W. Sri-Saan

School of Computing: Faculty Publications

This article uses Deep Learning technologies to safeguard DNA sequencing against Bio-Cyber attacks. We consider a hybrid attack scenario where the payload is encoded into a DNA sequence to activate a Trojan malware implanted in a software tool used in the sequencing pipeline in order to allow the perpetrators to gain control over the resources used in that pipeline during sequence analysis. The scenario considered in the paper is based on perpetrators submitting synthetically engineered DNA samples that contain digitally encoded IP address and port number of the perpetrator’s machine in the DNA. Genetic analysis of the sample’s DNA will …

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Data Science Applied To Discover Ancient Minoan-Indus Valley Trade Routes Implied By Commonweight Measures, Peter Revesz Jan 2022

Data Science Applied To Discover Ancient Minoan-Indus Valley Trade Routes Implied By Commonweight Measures, Peter Revesz

School of Computing: Conference and Workshop Papers

This paper applies data mining of weight measures to discover possible long-distance trade routes among Bronze Age civilizations from the Mediterranean area to India. As a result, a new northern route via the Black Sea is discovered between the Minoan and the Indus Valley civilizations. This discovery enhances the growing set of evidence for a strong and vibrant connection among Bronze Age civilizations.

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Mr-Pipa: An Integrated Multi-Level Rram (Hfox) Based Processing-In-Pixel Accelerator, Minhaz Abedin, Arman Roohi, Maximilian Liehr, Nathaniel Cady, Shaahin Angizi Jan 2022

Mr-Pipa: An Integrated Multi-Level Rram (Hfox) Based Processing-In-Pixel Accelerator, Minhaz Abedin, Arman Roohi, Maximilian Liehr, Nathaniel Cady, Shaahin Angizi

School of Computing: Faculty Publications

This work paves the way to realize a processing-in-pixel accelerator based on a multi-level HfOx RRAM as a flexible, energy-efficient, and high-performance solution for real-time and smart image processing at edge devices. The proposed design intrinsically implements and supports a coarse-grained convolution operation in low-bit-width neural networks leveraging a novel compute-pixel with non-volatile weight storage at the sensor side. Our evaluations show that such a design can remarkably reduce the power consumption of data conversion and transmission to an off-chip processor maintaining accuracy compared with the recent in-sensor computing designs. Our proposed design, namely MR-PIPA, achieves a frame rate …

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Decision-Theoretic Planning With Communication In Open Multiagent Systems, Anirudh Kakarlapudi, Gayathri Anil, Adam Eck, Prashant Doshi, Leen-Kiat Soh Jan 2022

Decision-Theoretic Planning With Communication In Open Multiagent Systems, Anirudh Kakarlapudi, Gayathri Anil, Adam Eck, Prashant Doshi, Leen-Kiat Soh

School of Computing: Faculty Publications

In open multiagent systems, the set of agents operating in the environment changes over time and in ways that are nontrivial to predict. For example, if collaborative robots were tasked with fighting wildfires, they may run out of suppressants and be temporarily unavailable to assist their peers. Because an agent’s optimal action depends on the actions of others, each agent must not only predict the actions of its peers, but, before that, reason whether they are even present to perform an action. Addressing openness thus requires agents to model each other’s presence, which can be enhanced through agents communicating about …

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Exploring Implementation Strategies Of Iot Technology In Organizations: Technology, Organization, And Environment, Khanhhung Hoang Pham Jan 2022

Exploring Implementation Strategies Of Iot Technology In Organizations: Technology, Organization, And Environment, Khanhhung Hoang Pham

Walden Dissertations and Doctoral Studies

AbstractAfter organizations successfully adopt the internet of things (IoT) technology, many corporate information technology (IT) leaders face challenges during the implementation phase. Corporate IT leaders' potential failures in implementing IoT devices may impede organizations from integrating IoT solutions and promoting business benefits. Grounded in technology-organization-environment (TOE) theory, the purpose of this qualitative, pragmatic inquiry study was to explore strategies that corporate IT leaders use to implement IoT technology in their organizations. The participants were six corporate healthcare IT leaders who successfully used implementation strategies for implementing IoT solutions for their organizations. Data were collected using semistructured interviews and industry security …

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Deep Learning For Video-Grounded Dialogue Systems, Hung Le Jan 2022

Deep Learning For Video-Grounded Dialogue Systems, Hung Le

Dissertations and Theses Collection (Open Access)

In recent years, we have witnessed significant progress in building systems with artificial intelligence. However, despite advancements in machine learning and deep learning, we are still far from achieving autonomous agents that can perceive multi-dimensional information from the surrounding world and converse with humans in natural language. Towards this goal, this thesis is dedicated to building intelligent systems in the task of video-grounded dialogues. Specifically, in a video-grounded dialogue, a system is required to hold a multi-turn conversation with humans about the content of a video. Given an input video, a dialogue history, and a question about the video, the …

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Artificial Intelligence In The Pediatric Echocardiography Laboratory: Automation, Physiology, And Outcomes, Minh B Nguyen, Olivier Villemain, Mark K Friedberg, Lasse Lovstakken, Craig G Rusin, Luc Mertens Jan 2022

Artificial Intelligence In The Pediatric Echocardiography Laboratory: Automation, Physiology, And Outcomes, Minh B Nguyen, Olivier Villemain, Mark K Friedberg, Lasse Lovstakken, Craig G Rusin, Luc Mertens

Faculty, Staff and Students Publications

Artificial intelligence (AI) is frequently used in non-medical fields to assist with automation and decision-making. The potential for AI in pediatric cardiology, especially in the echocardiography laboratory, is very high. There are multiple tasks AI is designed to do that could improve the quality, interpretation, and clinical application of echocardiographic data at the level of the sonographer, echocardiographer, and clinician. In this state-of-the-art review, we highlight the pertinent literature on machine learning in echocardiography and discuss its applications in the pediatric echocardiography lab with a focus on automation of the pediatric echocardiogram and the use of echo data to better …

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Can I Touch The Clothes On The Screen? The Touch Effect In Online Shopping, Ha Kyung Lee, Dooyoung Choi Jan 2022

Can I Touch The Clothes On The Screen? The Touch Effect In Online Shopping, Ha Kyung Lee, Dooyoung Choi

STEMPS Faculty Publications

We examined the interplay effects of device types (touch vs. non-touch) and the tactile sensitivity (fur vs. woven) on the product attitudes mediated by the mental simulation for touch. The participants from MTurk were randomly assigned to one of two tactile conditions. Responses from those who used tablets (n=83, touch device) and laptops (n=96, non-touch device) were included in the analysis. The main effects of device types and tactile-sensitivity on the mental simulation for touch were significant. The interaction effect of device types and tactile sensitivity was also significant. Those participants seeing the less tactile-sensitive product showed greater mental simulation …

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Far-Red Photography For Measuring Plant Growth: A Novel Approach, Cole Webb, F. Mitchell Westmoreland, Bruce Bugbee, Xiaojun Qi Jan 2022

Far-Red Photography For Measuring Plant Growth: A Novel Approach, Cole Webb, F. Mitchell Westmoreland, Bruce Bugbee, Xiaojun Qi

Techniques and Instruments

A critical part of agricultural studies is determining plant stress and growth rate. Modern computer vision provides a series of tools that can be applied to derive this data. In this paper, we will show our findings, analyze their accuracy, and define a system capable of deriving this data with near-human accuracy in a fraction of the time. Denoising techniques applicable to this system will be discussed, as will our discoveries and findings. Finally, suggestions for further research opportunities will be provided.

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การใช้การคิดเชิงออกแบบเพื่อพัฒนาเว็บแอปพลิเคชันของธุรกิจผลิตและจัดจำหน่ายเทียนหอม, อิทธิวัฒน์ อินทร์จันทร์ Jan 2022

การใช้การคิดเชิงออกแบบเพื่อพัฒนาเว็บแอปพลิเคชันของธุรกิจผลิตและจัดจำหน่ายเทียนหอม, อิทธิวัฒน์ อินทร์จันทร์

Chulalongkorn University Theses and Dissertations (Chula ETD)

ปัจจุบันธุรกิจเทียนหอมและธุรกิจเกี่ยวกับเครื่องหอมเริ่มมีการแข่งขันการมากขึ้น ทำให้แต่ละธุรกิจต่างพัฒนาช่องทางการขายของตนเองเพื่อให้สามารถแข่งขันได้ และด้วยสถานการณ์ปัจจุบันที่การซื้อขายสินค้าและบริการในช่องทางออนไลน์ได้รับความนิยมอย่างมาก เนื่องจากพฤติกรรมของผู้บริโภคที่เปลี่ยนแปลงไป ที่ต้องการความสะดวกสบายและสามารถเข้าถึงช่องทางต่างๆ และข้อมูลได้อย่างรวดเร็ว ดังนั้นการซื้อขายสินค้าและบริการผ่านช่องทางออนไลน์ถือเป็นการตอบโจทย์ลูกค้าได้เป็นอย่างดี จะทำให้เกิดการเข้าถึงข้อมูลและสินค้าได้ตลอดเวลาตามที่ลูกค้าต้องการ จากการเติบโตของการซื้อขายสินค้าและบริการผ่านช่องทางออนไลน์ หลายบริษัทเริ่มให้ความสำคัญกับการจัดทำสื่อและทำเว็บไซต์ของตนเอง เพื่อสร้างความแตกต่าง เนื่องจากการแข่งขันทางธุรกิจในช่องทางออนไลน์นั้นสูงมากขึ้น และเป็นสินค้าที่คล้ายกัน ทดแทนกันได้และยังแข่งขันกันด้วยราคา จึงต้องมีการสร้างความแตกต่างและความน่าเชื่อถือให้กับสินค้า ด้วยการสร้างเว็บไซต์เพื่อเป็นการเพิ่มช่องทางการขายและยังช่วยเพิ่มโอกาสในการขายและแสดงถึงภาพลักษณ์ขององค์กรอีกด้วย สำหรับธุรกิจนี้ยังไม่มีระบบหรือเว็บไซต์ของตนเอง ทำให้ลูกค้าเข้าถึงการซื้อขาย และเข้าใจรายละเอียดของสินค้าและผลิตภัณฑ์ของธุรกิจได้ยาก ขยายฐานกลุ่มลูกค้าได้ช้า ดังนั้นจึงนําหลักการคิดเชิงออกแบบมาใช้ในการจัดทำโครงการนี้ ระบบต้นแบบที่ได้จากการพัฒนาของโครงการนี้ ช่วยให้การดำเนินงานของธุรกิจผลิตและจัดจำหน่ายเทียนหอมมีประสิทธิภาพมากขึ้น และเป็นการปรับภาพลักษณ์ให้ดูน่าสนใจ มีความทันสมัย และน่าเชื่อถือ จนสามารถที่จะแข่งขันกับคู่แข่งได้ รวมถึงสามารถตอบโจทย์และแก้ไขปัญหาได้ตรงกับความต้องการผู้ใช้งานอย่าง แท้จริง

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Using Graph Evolutionary To Retrieve Related Tweets, Patta Yovithaya Jan 2022

Using Graph Evolutionary To Retrieve Related Tweets, Patta Yovithaya

Chulalongkorn University Theses and Dissertations (Chula ETD)

Due to its popularity and daily active users, social media has become powerful and influential in the last decade. With the nature of a micro-blogging platform, instant messages and the latest short posts are sent throughout the network on Twitter. Therefore, most users utilize Twitter to update breaking news or the latest events. Since a huge volume of tweet messages have been published on Twitter, event evolution has also rapidly developed into related events within similar topics. In this study, we present a novel method to retrieve tweets that relate to a given query term. Not only perfectly matched tweets, …

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การใช้การคิดเชิงออกแบบเพื่อพัฒนาโมไบล์แอปพลิเคชันของธุรกิจนวด, พรธานินทร์ พรพิชณรงค์ Jan 2022

การใช้การคิดเชิงออกแบบเพื่อพัฒนาโมไบล์แอปพลิเคชันของธุรกิจนวด, พรธานินทร์ พรพิชณรงค์

Chulalongkorn University Theses and Dissertations (Chula ETD)

ในปัจจุบันกระแสรักสุขภาพยังคงได้รับความนิยมอย่างต่อเนื่อง หลายคนหันมาใส่ใจดูแลสุขภาพมากขึ้น และเปิดธุรกิจเพื่อตอบโจทย์เทรนด์รักสุขภาพ ในความเป็นจริงเทรนด์สุขภาพไม่ได้มีเฉพาะ อาหาร ยา หรือความงามเท่านั้น แต่มีศาสตร์แห่งการบำบัดร่วมด้วย เป็นการบำบัดรักษาสุขภาพหรือฟื้นฟูจากอาการ เช่น สปาและนวดผ่อนคลาย เนื่องจากสถานการณ์ Covid-19 ทำให้ผู้คนส่วนใหญ่ต้องทำงานจากที่บ้าน (Work from Home) มากขึ้นด้วยสถานที่ทำงานที่ไม่เหมาะสม ทำให้มีอาการปวดเมื่อย และกลายเป็นอาการออฟฟิศซินโดรมในที่สุด ทำให้การนวดเป็นที่นิยมในหมู่พนักงานออฟฟิศเป็นอย่างมาก ประกอบกับในปัจจุบันสื่อออนไลน์เข้ามามีบทบาทในชีวิตประจำวันเป็นวงกว้างมากขึ้น ผู้คนส่วนใหญ่มักใช้วิธีการค้นหาข้อมูลผ่านทางอินเตอร์เน็ต เพื่อความสะดวกและรวดเร็วในการเข้าถึงข้อมูล รวมถึงการค้นหาแหล่งข้อมูลเกี่ยวกับธุรกิจสปาและนวด แต่ยังไม่มีแหล่งข้อมูลที่เป็นศูนย์รวมของธุรกิจนวดโดยเฉพาะ และไม่สามารถเข้าถึงการจองนวดในร้านที่ต้องการได้อย่างครบวงจรเหมือนการจองโรงแรม หรือตั๋วเครื่องบิน ดังนั้นจึงนำหลักการคิดเชิงออกแบบมาใช้ในการจัดทำระบบที่สามารถเป็นศูนย์กลางของธุรกิจนวด เพื่อเป็นประโยชน์ทั้งกลุ่มลูกค้าที่ต้องการใช้บริการร้านนวดและเจ้าของธุรกิจนวดได้ ระบบต้นแบบของโครงการนี้จะช่วยให้ผู้บริโภคประหยัดเวลาในการค้นหาข้อมูล และสะดวกในการจองบริการ ทางด้านเจ้าของธุรกิจนวดสามารถดำเนินธุรกิจได้อย่างมีประสิทธิภาพและเป็นที่รู้จักอย่างกว้างขวางมากยิ่งขึ้น

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Link Prediction Using Deep Learning Approach For Type 2 Diabetes Drug Repurposing, Sothornin Mam Jan 2022

Link Prediction Using Deep Learning Approach For Type 2 Diabetes Drug Repurposing, Sothornin Mam

Chulalongkorn University Theses and Dissertations (Chula ETD)

There is still no effective treatment for type 2 diabetes, which has been on the rise for years. By repositioning current medications for new indications, drug repurposing can aid in the discovery of novel medications. Deep learning has recently been applied to this problem via link prediction utilizing a graph representation that learns from either the structure of a graph or the semantic meaning of entity text. However, because they used a single representation as the basis for their work without making any model improvements, earlier attempts still had restricted performance. In this study, we suggest a new deep-learning approach …

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Real Time Map Matching For Low Frequency Gps Data Based On Machine Learning Technology, Ornicha Sinthopvaragul Jan 2022

Real Time Map Matching For Low Frequency Gps Data Based On Machine Learning Technology, Ornicha Sinthopvaragul

Chulalongkorn University Theses and Dissertations (Chula ETD)

GPS accuracy can be compromised in urban areas due to multipath issues, leading to low accuracy in GPS location. Therefore, map matching has been introduced as a method to reduce the GPS location error. However, current map matching methods require high-frequency GPS data, and may not perform well with low-frequency data. To address this issue, this study explores the use of machine learning technology and classification methods to adjust the low-frequency GPS location. The model developed in this research employs features such as speed, heading, and location of the previous GPS point for machine learning training, ultimately leading to more …

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วิธีการทำนายคะแนนความพึงพอใจด้วยข้อมูลจากเครือข่ายคอมพิวเตอร์สำหรับการส่งวิดีโอแบบปรับตัวผ่านทางเอชทีทีพี, สุทัส ธนะจันทร์ Jan 2022

วิธีการทำนายคะแนนความพึงพอใจด้วยข้อมูลจากเครือข่ายคอมพิวเตอร์สำหรับการส่งวิดีโอแบบปรับตัวผ่านทางเอชทีทีพี, สุทัส ธนะจันทร์

Chulalongkorn University Theses and Dissertations (Chula ETD)

ในช่วงไม่กี่ปีที่ผ่านมา บริการวิดีโอสตรีมมิงผ่านอินเทอร์เน็ต ได้รับความนิยมขึ้นอย่างมาก ทำให้การวัด QoE เป็นกระบวนการที่มีความสำคัญสำหรับผู้ให้บริการเครือข่าย อย่างไรก็ตามกระบวนการวัด QoE ตามมาตรฐานไม่ได้ถูกออกแบบมาเพื่ออำนวยความสะดวกในการวัดของผู้ให้บริการเครือข่ายเนื่องจากเป็นการใช้ข้อมูลจากฝั่งอุปกรณ์ของผู้ใช้งาน เพื่อที่จะช่วยให้ผู้ให้บริการเครือข่ายสามารถวัด QoE ได้โดยปราศจากการเข้าถึงอุปกรณ์ของผู้ใช้บริการ วิทยานิพนธ์ฉบับนี้จึงเสนอแบบแผนการทำนาย QoE เชิงเครือข่ายสำหรับมาตรฐาน ITU-T P.1204.3 โดยใช้การวิเคราะห์การถดถอย บนข้อมูลการจราจรในเครือข่าย ผลลัพธ์ของการทดลองแสดงให้เห็นว่า แบบแผนที่เรานำเสนอนั้น สามารถทำนาย QoE ของผู้ใช้งานได้อย่างมีประสิทธิภาพด้วย RMSE เท่ากับ 0.14 และ PCC เท่ากับ 0.98

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Security Concerns On Machine Learning Solutions For 6g Networks In Mmwave Beam Prediction, Ferhat Ozgur Catak, Murat Kuzlu, Evren Catak, Umit Cali, Devrim Unal Jan 2022

Security Concerns On Machine Learning Solutions For 6g Networks In Mmwave Beam Prediction, Ferhat Ozgur Catak, Murat Kuzlu, Evren Catak, Umit Cali, Devrim Unal

Engineering Technology Faculty Publications

6G – sixth generation – is the latest cellular technology currently under development for wireless communication systems. In recent years, machine learning (ML) algorithms have been applied widely in various fields, such as healthcare, transportation, energy, autonomous cars, and many more. Those algorithms have also been used in communication technologies to improve the system performance in terms of frequency spectrum usage, latency, and security. With the rapid developments of ML techniques, especially deep learning (DL), it is critical to consider the security concern when applying the algorithms. While ML algorithms offer significant advantages for 6G networks, security concerns on artificial …

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A Comparison Of Deep Learning Algorithms On Image Data For Detecting Floodwater On Roadways, Sarp Salih, Kuzlu Murat, Zhao Yanxiao, Cetin Mecit Jan 2022

A Comparison Of Deep Learning Algorithms On Image Data For Detecting Floodwater On Roadways, Sarp Salih, Kuzlu Murat, Zhao Yanxiao, Cetin Mecit

Engineering Technology Faculty Publications

Object detection and segmentation algorithms evolved significantly in the last decade. Simultaneous object detection and segmentation paved the way for real-time applications such as autonomous driving. Detection and segmentation of (partially) flooded roadways are essential inputs for vehicle routing and traffic management systems. This paper proposes an automatic floodwater detection and segmentation method utilizing the Mask Region-Based Convolutional Neural Networks (Mask-R-CNN) and Generative Adversarial Networks (GAN) algorithms. To train the model, manually labeled images with urban, suburban, and natural settings are used. The performances of the algorithms are assessed in accurately detecting the floodwater captured in images. The results show …

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Bfv-Based Homomorphic Encryption For Privacy-Preserving Cnn Models, Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp, Murat Kuzlu Jan 2022

Bfv-Based Homomorphic Encryption For Privacy-Preserving Cnn Models, Febrianti Wibawa, Ferhat Ozgur Catak, Salih Sarp, Murat Kuzlu

Engineering Technology Faculty Publications

Medical data is frequently quite sensitive in terms of data privacy and security. Federated learning has been used to increase the privacy and security of medical data, which is a sort of machine learning technique. The training data is disseminated across numerous machines in federated learning, and the learning process is collaborative. There are numerous privacy attacks on deep learning (DL) models that attackers can use to obtain sensitive information. As a result, the DL model should be safeguarded from adversarial attacks, particularly in medical data applications. Homomorphic encryption-based model security from the adversarial collaborator is one of the answers …

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Augmented Reality Integrated Welder Training For Mechanical Engineering Technology, Aditya Akundi, Hamid Eisazadeh, Mona Torabizadeh Jan 2022

Augmented Reality Integrated Welder Training For Mechanical Engineering Technology, Aditya Akundi, Hamid Eisazadeh, Mona Torabizadeh

Engineering Technology Faculty Publications

The shortage of welders is well documented and projected to become more severe for various industries such as shipbuilding in coming years. It is mainly because welding training is a critical and often costly endeavor. This study examines the training potential using augmented reality technology as a critical part of welder training for mechanical engineering technology students. This study assessed the performance of two groups of MET students trained with two different methods. One group received training with the traditional method in three sessions. The second group acquired training initially with an augmented reality welding system for three sessions. Then, …

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Security Hardening Of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks, Ferhat Ozgur Catak, Murat Kuzlu, Haolin Tang, Evren Catak, Yanxiao Zhao Jan 2022

Security Hardening Of Intelligent Reflecting Surfaces Against Adversarial Machine Learning Attacks, Ferhat Ozgur Catak, Murat Kuzlu, Haolin Tang, Evren Catak, Yanxiao Zhao

Engineering Technology Faculty Publications

Next-generation communication networks, also known as NextG or 5G and beyond, are the future data transmission systems that aim to connect a large amount of Internet of Things (IoT) devices, systems, applications, and consumers at high-speed data transmission and low latency. Fortunately, NextG networks can achieve these goals with advanced telecommunication, computing, and Artificial Intelligence (AI) technologies in the last decades and support a wide range of new applications. Among advanced technologies, AI has a significant and unique contribution to achieving these goals for beamforming, channel estimation, and Intelligent Reflecting Surfaces (IRS) applications of 5G and beyond networks. However, the …

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Defensive Distillation-Based Adversarial Attack Mitigation Method For Channel Estimation Using Deep Learning Models In Next-Generation Wireless Networks, Ferhat Ozgur Catak, Murat Kuzlu, Evren Catak, Umit Cali, Ozgur Guler Jan 2022

Defensive Distillation-Based Adversarial Attack Mitigation Method For Channel Estimation Using Deep Learning Models In Next-Generation Wireless Networks, Ferhat Ozgur Catak, Murat Kuzlu, Evren Catak, Umit Cali, Ozgur Guler

Engineering Technology Faculty Publications

Future wireless networks (5G and beyond), also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks have dramatically grown with advanced telecommunication technologies for high-speed data transmission, high cell capacity, and low latency. The main goal of those technologies is to support a wide range of new applications, such as virtual reality, metaverse, telehealth, online education, autonomous and flying vehicles, smart cities, smart grids, advanced manufacturing, and many more. The key motivation of NextG networks is to meet the high demand for those …

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Development Of Experiential Learning Experiences For K-12 Students Focusing On Smart Cities, Murat Kuzlu, Vukica Jovanovic, Nathan Puryear, Patrick J. Martin, Sherif Abdelwahed, Özgür Güler Jan 2022

Development Of Experiential Learning Experiences For K-12 Students Focusing On Smart Cities, Murat Kuzlu, Vukica Jovanovic, Nathan Puryear, Patrick J. Martin, Sherif Abdelwahed, Özgür Güler

Engineering Technology Faculty Publications

The main objective of this paper is to describe a project focused on the development of experiential learning experiences for undergraduate and graduate students focusing on smart cities. The future workforce needs students with various data analytics skills, service reliability, and sustainability. The team of researchers from Old Dominion University and Virginia Commonwealth University is developing a virtual smart city lab environment at both universities and collaborating on multiple research projects. The main purpose of this virtual labs is to provide a testbed that can be used for students who are interested in careers related to cyber-physical systems (CPS). These …

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A Real-Time 3d Object Detection, Recognition And Presentation System On A Mobile Device For Assistive Navigation, Jin Chen Jan 2022

A Real-Time 3d Object Detection, Recognition And Presentation System On A Mobile Device For Assistive Navigation, Jin Chen

Dissertations and Theses

This thesis proposes an integrated solution for 3D object detection, recognition, and presentation to increase accessibility for various user groups in indoor areas through a mobile application. The system has three major components: a 3D object detection module, an object tracking and update module, and a voice and AR-enhanced interface. The 3D object detection module consists of pre-trained 2D object detectors and 3D bounding box estimation methods to detect the 3D poses and sizes of the objects in each camera frame. This module can easily adapt to various 2D object detectors (e.g., YOLO, SSD, Mask RCNN) based on the requested …

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A Citizen-Science Approach For Urban Flood Risk Analysis Using Data Science And Machine Learning, Candace Agonafir Jan 2022

A Citizen-Science Approach For Urban Flood Risk Analysis Using Data Science And Machine Learning, Candace Agonafir

Dissertations and Theses

Street flooding is problematic in urban areas, where impervious surfaces, such as concrete, brick, and asphalt prevail, impeding the infiltration of water into the ground. During rain events, water ponds and rise to levels that cause considerable economic damage and physical harm. The main goal of this dissertation is to develop novel approaches toward the comprehension of urban flood risk using data science techniques on crowd-sourced data. This is accomplished by developing a series of data-driven models to identify flood factors of significance and localized areas of flood vulnerability in New York City (NYC). First, the infrastructural (catch basin clogs, …

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Advanced Full-Text Search Based On Synonyms In Postgres, Joey Bodoia Jan 2022

Advanced Full-Text Search Based On Synonyms In Postgres, Joey Bodoia

CMC Senior Theses

This paper discusses the advanced full-text search queries based on synonyms that are supported in Chajda, which is a postgres extension and corresponding python library for highly multi-lingual full-text search in postgres. This discussion will include the motivations for using advanced queries based on synonyms, examples of how to use these advanced queries in Chajda, current limitiations of the advanced queries, and performance testing of the advanced queries.

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Dynamic Nonlinear Gaussian Model For Inferring A Graph Structure On Time Series, Abhinuv Uppal Jan 2022

Dynamic Nonlinear Gaussian Model For Inferring A Graph Structure On Time Series, Abhinuv Uppal

CMC Senior Theses

In many applications of graph analytics, the optimal graph construction is not always straightforward. I propose a novel algorithm to dynamically infer a graph structure on multiple time series by first imposing a state evolution equation on the graph and deriving the necessary equations to convert it into a maximum likelihood optimization problem. The state evolution equation guarantees that edge weights contain predictive power by construction. After running experiments on simulated data, it appears the required optimization is likely non-convex and does not generally produce results significantly better than randomly tweaking parameters, so it is not feasible to use in …

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Examination Of Strategies To Implementing Chip-And-Personal Identification Number Credit Card Authentication Infrastructures, Neville Arthur Gallimore Jan 2022

Examination Of Strategies To Implementing Chip-And-Personal Identification Number Credit Card Authentication Infrastructures, Neville Arthur Gallimore

Walden Dissertations and Doctoral Studies

Chip-and-Personal Identification Number (PIN) technology is seen as a game changer in many e-commerce industries and a transformational technology in the 21st century. However, security concerns have made chip-and-PIN adoption relatively slow. Massive unauthorized card payment transactions in the United States (U.S.) cost victims an estimate totaling billions of dollars. Information Technology (IT) managers are concerned with credit card fraud's financial loss and liability cost. Grounded in Rogers’s diffusion of innovation theory, the purpose of this qualitative pragmatic study was to explore strategies used by IT managers to transition their e-commerce organizations to chip-and-PIN credit card authentication infrastructures. The participants …

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The 4c’S Of Pal – An Evidence-Based Model For Implementing Peer Assisted Learning For Mature Students, Nevan Bermingham, Frances Boylan, Barry J. Ryan Jan 2022

The 4c’S Of Pal – An Evidence-Based Model For Implementing Peer Assisted Learning For Mature Students, Nevan Bermingham, Frances Boylan, Barry J. Ryan

Articles

Peer Assisted Leaning (PAL) programmes have been shown to enhance learner confidence and have an overall positive effect on learner comprehension, particularly in subjects traditionally perceived as difficult. This research describes the findings of a three-cycle Action Research study into the perceived benefits of implementing such a programme for mature students enrolled on a computer science programming module on an Access Foundation Programme in an Irish University. The findings from this study suggest that peer learning programmes offer students a valued support structure that aids transition and acculturation into tertiary education whilst simultaneously improving their subject-matter comprehension and confidence. An …

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