Computer Engineering Commons^™

Neural Network Supervised And Reinforcement Learning For Neurological, Diagnostic, And Modeling Problems, Donald Wunsch Iii

Masters Theses

“As the medical world becomes increasingly intertwined with the tech sphere, machine learning on medical datasets and mathematical models becomes an attractive application. This research looks at the predictive capabilities of neural networks and other machine learning algorithms, and assesses the validity of several feature selection strategies to reduce the negative effects of high dataset dimensionality. Our results indicate that several feature selection methods can maintain high validation and test accuracy on classification tasks, with neural networks performing best, for both single class and multi-class classification applications. This research also evaluates a proof-of-concept application of a deep-Q-learning network (DQN) to …

การประยุกต์การวิเคราะห์เครือข่ายสังคมเพื่อปรับปรุงกระบวนการทดสอบซอฟต์แวร์, พรรณธิภา บุญมาพบ

Chulalongkorn University Theses and Dissertations (Chula ETD)

Jira Software เป็นโซลูชันการจัดการโครงการแบบอไจล์ ซึ่งเดิมออกแบบมาให้เป็นเครื่องมือในการติดตามข้อบกพร่องและปัญหาที่เกิดขึ้นภายในโครงการ การค้นหาปัญหาหรือข้อมูลข้อบกพร่องสามารถทำได้โดยใช้ Jira Query Language (JQL) อย่างไรก็ตาม การสืบค้นปัญหาหรือข้อบกพร่องจากแหล่งที่เก็บข้อมูลจะคืนค่าข้อมูลที่เฉพาะเจาะจงมาอย่างง่ายและธรรมดาทั่วไป ในงานวิจัยนี้ ได้นำเสนอแนวทางการสร้างภาพข้อมูลเครือข่ายเพื่อเปิดเผยความสัมพันธ์และการสื่อสารระหว่างตัวบทบาท เช่น คุณสมบัติของซอฟต์แวร์ ข้อบกพร่อง และบุคลากร โดยเทคนิคการวิเคราะห์เครือข่ายโซเชียลใช้สำหรับวิเคราะห์ข้อบกพร่องที่รวบรวมจากโครงการซอฟต์แวร์ภายในธนาคาร และ Gephi ถูกใช้เป็นเครื่องมือในการสร้างเครือข่ายของบทบาทที่ระบุเป็นโหนดและการเชื่อมโยงของโหนดเหล่านั้น ซึ่งแนวทางของการวิเคราะห์เครือข่ายภาพนั้นใช้ได้จริงและให้ข้อมูลเชิงลึกในการวิเคราะห์ข้อบกพร่องที่จำเป็นสำหรับกระบวนการพัฒนาซอฟต์แวร์ในเชิงรุก

Transforming Timing Diagram Into Timed Automata For Preemptive Scheduling, อมรัตน์ พิมโคตร

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานที่เกิดขึ้นพร้อมกันในระบบเรียลไทม์อาจต้องการทรัพยากรที่ใช้ร่วมกันอย่างจำกัด เช่นการใช้งานร่วมกันของ CPU เพียงตัวเดียวที่มีงานเป็นจำนวนมาก เมื่อใช้การจัดกระบวนการเชิงพรีเอ็มทีฟ ซึ่งงานที่กำลังทำงานอยู่ที่มีค่าลำดับความสำคัญต่ำกว่ามักจะถูกจัดลำดับให้อยู่ในสถานะพักการทำงานหรือสถานะโดเมน โดยงานใหม่ที่มีค่าลำดับความสำคัญสูงกว่าจะเข้ามาแทนที่ สุดท้ายจึงกลายเป็นว่างานใหม่เข้ามาทำงานแทนลำดับงานที่โดนแทรกหรือถูกพรีเอ็มทีฟไว้ก่อนหน้านี้ที่มีค่าลำดับความสำคัญต่ำกว่า งานที่มีค่าลำดับความสำคัญต่ำกว่าดังกล่าวจะเริ่มต้นทำงานอีกครั้งเพื่อดำเนินการต่อในสถานะที่ทำงานทันทีหลังจากงานที่มีค่าลำดับความสำคัญสูงกว่าได้ทำงานเสร็จสิ้น แผนภาพเวลาเป็นแผนภาพที่มีลักษณะงานเป็นอิสระต่อกัน และงานจะถูกเริ่มต้นพร้อมกัน ผลกระทบของการจัดกระบวนการเชิงพรีเอ็มทีฟเอาไว้จะมีความสัมพันธ์กันและทำให้การดำเนินของเส้นเวลาหรือไทม์ไลน์ของงานที่เกิดขึ้นพร้อมกันเหล่านี้ถูกเปลี่ยนแปลงไป กฎการจับคู่สำหรับการแปลงแผนภาพเวลาที่เป็นอิสระต่อกันเป็นไทมด์ออโตมาตาที่ได้รับการออกแบบในวิทยานิพนธ์นี้ และยังมีเครื่องมือซอฟต์แวร์ที่ได้รับการพัฒนาเพื่อแปลงไฟล์ต้นทางนำเข้าสกุลไฟล์ XML ของแผนภาพเวลาเป็นไฟล์ไทมด์ออโตมาตา สามารถจำลองแผนภาพไทมด์ออโตมาตาด้วยเครื่องมือ UPPAAL ซึ่งผลลัพธ์ของไทมด์ออโตมาตาจะแสดงกรอบเวลาโดยรวมของงานที่เกิดขึ้นพร้อมกันอันเป็นผลกระทบของการจัดกำหนดการเชิงฟรีเอ็มทีฟ การจำลองไทมด์ออโตมาตาจะจัดเตรียมตัวแปรนาฬิกาและสถานะโดเมนพิเศษเพิ่มเติม จากนั้นจึงนำไทมด์ออโตมาตาที่แปลงมาทวนสอบคุณสมบัติ TCTL ว่าการทำงานนั้นถูกต้อง เครื่องมือซอฟต์แวร์ของเราจะดำเนินการแปลงไดอะแกรมสำหรับการจัดกระบวนการเชิงพรีเอ็มทีฟ และใช้กรณีศึกษาสามกรณีเพื่อแสดงกระบวนการแปลงและการจำลองขั้นตอนกระบวนการทำงาน

Performance Improvement Of Cms Simulation Via Loop Transformation, Teerit Ploensin

Chulalongkorn University Theses and Dissertations (Chula ETD)

High performance processor can tackle bottleneck issues by increasing vector lengths and leveling effectiveness of memory hierarchies to address these issue. Manual optimization of code is a difficult task when having multiple architecturedependent transformation. Our goal is to develop a tool that performs source code transformation based on loop optimization techniques, since a loop plays an important role in improving of performance in scientific simulation software. We implement an source-to-source transformation tool based libTooling, a Clang’s library, based on polyhedral model to simplify a loop transformation of CMSSW building pipeline. The tool also can be used for automatically transformation. The …

Re-Designing Main Memory Subsystems With Emerging Monolithic 3d (M3d) Integration And Phase Change Memory Technologies, Chao-Hsuan Huang

Theses and Dissertations--Electrical and Computer Engineering

Over the past two decades, Dynamic Random-Access Memory (DRAM) has emerged as the dominant technology for implementing the main memory subsystems of all types of computing systems. However, inferring from several recent trends, computer architects in both the industry and academia have widely accepted that the density (memory capacity per chip area) and latency of DRAM based main memory subsystems cannot sufficiently scale in the future to meet the requirements of future data-centric workloads related to Artificial Intelligence (AI), Big Data, and Internet-of-Things (IoT). In fact, the achievable density and access latency in main memory subsystems presents a very fundamental …

Edge Processing Of Image For Uas Sense And Avoidance, Christopher J. Rave

Browse all Theses and Dissertations

Today there is a large market for Unmanned Aerial Systems. Although most current systems are remotely piloted by operators on the ground, increasingly, many of these systems will use some sort of automatic flight controller to help mitigate new challenges, due to their deployment at growing scale. These challenges include, but are not limited to, shortage of FAA-certified UAS pilots, transmission bandwidth and delay constraints and cyber security threats associated with wireless networking, profitability of operations constrained by energy capacity and efficiency and air dynamics planning, and etc. In order to address these rising challenges, this thesis is a part …

Arise - Augmented Reality In Surgery And Education, Sadan Suneesh Menon

Browse all Theses and Dissertations

Human errors in healthcare can be fatal. Proper physical assessment of patients to avoid such errors is of paramount importance. Incorrect or insufficient assessment of the patient can cause treatment delays that may lead to negative outcomes. In this dissertation we introduce innovative technology to assist surgeons in patient assessment as well as during the training of nurses in order to enhance learning. Technological advancements have made it possible to visualize overlays of computer-generated 3D models on real-world surfaces. This technology is called augmented reality. Using Steady State Topography (SST) brain imaging to examine the brain activity of people who …

Leveraging Sequential Nature Of Conversations For Intent Classification, Shree Gotteti

Browse all Theses and Dissertations

Conversations are more than just a sequence of text, it is where two or more participants interact in order to achieve their goals. Conversation Understanding (CU) requires all participants to understand each others intent. In the past decade, CU has been extended from automated human-human text processing to build automated conversational agents for human-machine interactions. Despite their popularity, these automated conversational agents (like Siri, Alexa, etc) can't handle more than one or two utterances, and they don't recognize conversations as intents. The development of approaches that extract intents behind an utterance is essential for the advancements of Question Answering (QA) …

Hidden Markov Model And Cyber Deception For The Prevention Of Adversarial Lateral Movement, Md Ali Reza Al Amin, Sachin Shetty, Laurent Njilla, Deepak K. Tosh, Charles Kamhoua

Computational Modeling & Simulation Engineering Faculty Publications

Advanced persistent threats (APTs) have emerged as multi-stage attacks that have targeted nation-states and their associated entities, including private and corporate sectors. Cyber deception has emerged as a defense approach to secure our cyber infrastructure from APTs. Practical deployment of cyber deception relies on defenders' ability to place decoy nodes along the APT path optimally. This paper presents a cyber deception approach focused on predicting the most likely sequence of attack paths and deploying decoy nodes along the predicted path. Our proposed approach combines reactive (graph analysis) and proactive (cyber deception technology) defense to thwart the adversaries' lateral movement. The …

Modeling And Simulation Of Cascading Failures In Transportation Systems During Hurricane Evacuations, Yuan Zhu, Kaan Ozbay, Hong Yang, Fan Zuo, Di Sha

Computational Modeling & Simulation Engineering Faculty Publications

Effective and timely evacuation is critical in alleviating the impact of hurricanes. As such, evacuation models are often sought to support the preparedness of evacuations. One important task in the modeling process is to evaluate exogenous factors that cause transportation system capacity loss during evacuation. Typical factors include direct damage to the roadway network due to storm surge and cascading impacts because of other facilities failures. For example, power outage can lead to signal failure and subway suspension. This paper aims to develop a macroscopic simulation-based approach to study the capacity loss of the roadway network in evacuation due to …

Energy-Efficient In-Memory Architectures Leveraging Intrinsic Behaviors Of Embedded Mram Devices, Shadi Sheikhfaal

Electronic Theses and Dissertations, 2020-2023

For decades, innovations to surmount the processor versus memory gap and move beyond conventional von Neumann architectures continue to be sought and explored. Recent machine learning models still expend orders of magnitude more time and energy to access data in memory in addition to merely performing the computation itself. This phenomenon referred to as a memory-wall bottleneck, is addressed herein via a completely fresh perspective on logic and memory technology design. The specific solutions developed in this dissertation focus on utilizing intrinsic switching behaviors of embedded MRAM devices to design cross-layer and energy-efficient Compute-in-Memory (CiM) architectures, accelerate the computationally-intensive operations …

Development Of An Autonomous Navigation System For The Shuttle Car In Underground Room & Pillar Coal Mines, Vasileios Androulakis

Theses and Dissertations--Mining Engineering

In recent years, autonomous solutions in the multi-disciplinary field of the mining engineering have been an extremely popular applied research topic. The growing demand for mineral supplies combined with the steady decline in the available surface reserves has driven the mining industry to mine deeper underground deposits. These deposits are difficult to access, and the environment may be hazardous to mine personnel (e.g., increased heat, difficult ventilation conditions, etc.). Moreover, current mining methods expose the miners to numerous occupational hazards such as working in the proximity of heavy mining equipment, possible roof falls, as well as noise and dust. As …

Fpga-Augmented Secure Crash-Consistent Non-Volatile Memory, Yu Zou

Electronic Theses and Dissertations, 2020-2023

Emerging byte-addressable Non-Volatile Memory (NVM) technology, although promising superior memory density and ultra-low energy consumption, poses unique challenges to achieving persistent data privacy and computing security, both of which are critically important to the embedded and IoT applications. Specifically, to successfully restore NVMs to their working states after unexpected system crashes or power failure, maintaining and recovering all the necessary security-related metadata can severely increase memory traffic, degrade runtime performance, exacerbate write endurance problem, and demand costly hardware changes to off-the-shelf processors. In this thesis, we summarize and expand upon two of our innovative works, ARES and HERMES, to design …

On The (Im)Practicality Of Adversarial Perturbation For Image Privacy, Arezoo Rajabi, Rakesh B. Bobba, Mike Rosulek, Charles Wright, Wu-Chi Feng

Computer Science Faculty Publications and Presentations

Image hosting platforms are a popular way to store and share images with family members and friends. However, such platforms typically have full access to images raising privacy concerns. These concerns are further exacerbated with the advent of Convolutional Neural Networks (CNNs) that can be trained on available images to automatically detect and recognize faces with high accuracy.

Recently, adversarial perturbations have been proposed as a potential defense against automated recognition and classification of images by CNNs. In this paper, we explore the practicality of adversarial perturbation based approaches as a privacy defense against automated face recognition. Specifically, we first …

Real-Time Operation Of Microgrids, Salem Al-Agtash, Asma Alkhraibat, Mohamad Al Hashem, Nisrein Al-Mutlaq

Computer Science and Engineering

Microgrid (MG) systems effectively integrate a generation mix of solar, wind, and other renewable energy resources. The intermittent nature of renewable resources and the unpredictable weather conditions contribute largely to the unreliability of microgrid real-time operation. This paper investigates the behavior of microgrid for different intermittent scenarios of photovoltaic generation in real-time. Reactive power coordination control and load shedding mechanisms are used for reliable operation and are implemented using OPAL-RT simulator integrated with Matlab. In an islanded MG, load shedding can be an effective mechanism to maintain generation-load balance. The microgrid of the German Jordanian University (GJU) is used for …

Integration Of Robotic And Electro-Pneumatic Systems Using Advanced Control And Communication Schemes, Chinmay Kondekar

Dissertations, Master's Theses and Master's Reports

Modern industrial automation systems are designed by interconnecting various subsystems which work together to perform a process. The thesis project aims to integrate fragmented subsystems into a flexible and reconfigurable system through advanced communication protocols and perform a process to demonstrate the effectiveness of interconnected systems.

The system consists of three six-axis robots, one electro-pneumatic robot, and two conveyors connected using EthernetIP communication and hardwired connections. The interconnected system works together to perform machining of a workpiece using advanced control methods of CAD to robot path generation, central control through a PLC, and process control through HMI.

Standardized programming blocks …

A New Hybrid Genetic Algorithm For Protein Structure Prediction On The 2dtriangular Lattice, Bouroubi Sadek, Nabil Boumedine

Turkish Journal of Electrical Engineering and Computer Sciences

The flawless functioning of the protein is essentially related to its three-dimensional structure. Therefore,predicting protein structure from its amino acid sequence is a fundamental problem that draws researchers' attentionin many areas. The protein structure prediction problem (PSP) can be formulated as a combinatorial optimization problem based on simplified lattice models such as the hydrophobic-polar model. In this paper, we propose a new hybridalgorithm that combines three different known heuristic algorithms: the genetic algorithm, the tabu search strategy,and the local search algorithm to solve the PSP problem. Regarding the evaluation of the proposed approach, wepresent an experimental study, where we consider …

Robust Image Hashing Based On Structural And Perceptual Features Forauthentication Of Color Images, Muhammad Farhan Khan, Syed Muhammad Monir, Imran Naseem

Turkish Journal of Electrical Engineering and Computer Sciences

Image hashing is one of the most celebrated techniques regarding the discipline of image forensics, imageretrieval, image indexing, content verification, and zero watermarking. For such sensitive and complex problems,generation of a unique and robust image hash is an utmost prerequisite for an image identifier driven from the perceptualcontents of an image. As a design perspective, it is essential for an image hash to have robustness and optimizeddiscriminative capability. We propose a robust image hashing technique by acquiring perceptual features based on anovel distance magnitude profile utilizing color pixel incongruity among the contiguous pixels, as well as producing astructural image for …

Dynamic Distributed Trust Management Scheme For The Internet Of Things, Syed Wasif Abbas Hamdani, Abdul Waheed Khan, Naima Iltaf, Javed Iqbal Bangash, Yawar Abbas Bangash, Asfandyar Khan

Turkish Journal of Electrical Engineering and Computer Sciences

The Internet of Things (IoT) comprises of a diverse network of homogeneous and heterogeneous nodesthat can be accessed through network ubiquitously. In unattended environments, the IoT devices are prone to variousattacks including ballot-stu?ing, bad-mouthing, self-promotion, on-off, opportunistic behavior attacks, etc. The on-offattack is di?icult to detect as nodes switch their behavior from normal to malicious alternatively. A trust managementmodel is a tool to defend the IoT system against malicious activities and provide reliable data exchange. The majorityof existing IoT trust management techniques are based on static reward and punishment values in pursuit of trustcomputation thereby allowing the misbehaving nodes to …

Sliding Mode Pll-Pdm Controller For Induction Heating System, Harun Özbay, Aki̇f Karafi̇l, Seli̇m Öncü

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a sliding mode controlled phase locked loop (SMC-PLL) was developed for induction heating(IH) applications with a resonant inverter. PLL applications are widely used in induction heating applications to achievezero voltage switching and zero current switching. In many PLL applications, the frequency tracking is too slow andunreliable. Therefore, a sliding mode controller was developed to provide robust and fast PLL. Furthermore, a pulsedensity modulation (PDM) control strategy was developed to work at the resonant frequency for all power levels. ThePDM power control is a good solution for the design of high-frequency inverters because of a great reduction of …