Computer Engineering Commons^™

Discourse On Digital Government And Regulation: A Bibliometric Analysis, Prakoso Bhairawa Putera, Amelya Gustina

Library Philosophy and Practice (e-journal)

This study aims to discuss digital government and regulation, analyzed through the bibliometric approach with the Scopus database for the last 20 years and visualized through the VOSviewer software version 1.6.16. The results indicate that the topic of e-government has become essentially prominent and has been the most discussed in the past two decades. Approximately 41.1% of digital government and regulation articles are classified under the subject area of 'Computer Science', continued by Social Sciences (18.3%), and Business, Management and Accounting (10.2%), with the majority of being 'All Open Access' (46%). The trend of publication in this field includes the …

The Exploration And Analysis Of Mancala From An Ai Perspective, Trevon J. Hunter

Honors Theses

Through the study of popular games such as Chess and Go, countless artificial intelligence (AI) research has been conducted in an attempt to create algorithms equipped for adversarial search problems. However, there are still a plethora of avenues that offer insight into further development. Mancala is traditionally a two-player board game that originated in the East and offers a unique opponent-based playing experience. This thesis not only attempts to create a competitive AI algorithm for mancala games by analyzing the performance of several different algorithms on this classic board game, but it also attempts to extract applications that may have …

Modern Methods Of Testing And Information Security Problems In Iot, Halim Khujamatov, Ernazar Reypnazarov, Amir Lazarev

Bulletin of TUIT: Management and Communication Technologies

This article analyzes the technology of the internet of things, ie its architecture, communication standards, threats to security and safety, methods and types of testing devices of the internet of things. In short, the architectures proposed by ITU-T and IWF, IEEE standards for Internet of Things, LPWAN standards, four levels of security (devices/gateways, network/transport, services and applications), components according to test methods, performance, loading, security, etc.

An-Drew: A Chatbot Application For Personalized Digital Expression, Jeffrey Huang

Computer Science and Engineering Senior Theses

COVID-19 and the resulting quarantine affected many people over the past year, impacting many people’s mental health. To make matters even worse, those most in need of assistance with managing their mental health are often the ones with least access to support. These populations would benefit from a way in which to express themselves and practice self-care that is accessible and enjoyable. Art therapy offers one such solution. In this paper, I used word recognition and connections to determine a person’s mood by reading their responses to An-drew’s questions. My experiment shows that this is an effective start to seeing …

Extracting Creative Procedural Knowledge From Photoshop Tutorials, Federico Madden

Computer Science and Engineering Senior Theses

For my senior design project, I created a web app that, given the text of an online Photoshop tutorial, uses a neural network to extract specific Photoshop actions (e.g. File - New or Layers - New Layer) that the tutorial either implicitly or explicitly instructs the reader to take. This neural network consists mainly of a BERT embedding layer followed by an LSTM module, with a linear multi-class, multi-label classification layer on top. The network achieved a macro average F1 score of 15.1% on tutorial sentence classification tasks.

Assistive Robotics And Their Uses During The Pandemic, Thomas Klassen, Jeremy Evert

Student Research

• “Assistive Robotics” defines any device that can sense, process sensory information, and perform actions that benefit people with disabilities.

• This form of technology can be used on a much higher scale with a greater number of uses.

• We have an opportunity to expand the usage of assistive robotics to help combat COVID-19.

An Inside Vs. Outside Classification System For Wi-Fi Iot Devices, Paul Gralla

Dartmouth College Undergraduate Theses

We are entering an era in which Smart Devices are increasingly integrated into our daily lives. Everyday objects are gaining computational power to interact with their environments and communicate with each other and the world via the Internet. While the integration of such devices offers many potential benefits to their users, it also gives rise to a unique set of challenges. One of those challenges is to detect whether a device belongs to one’s own ecosystem, or to a neighbor – or represents an unexpected adversary. An important part of determining whether a device is friend or adversary is to …

Coding Club, Nicole Livingston, Madalyn Meyer

Honors Program: Expanded Learning Clubs

Lesson plans for an about 12-week club designed to introduce middle schoolers to coding using Scratch. By the end of the club, every student will have made a game they can share with the class and have learned basic coding and game creation tools. Students can also miss classes or join late and still be able to join and enjoy the club with a different focus lesson every week.

Analysis Of Denial Of Service Attacks In Emerging Software Defined Network Infrastructures, Andrea P. Wright

USF Tampa Graduate Theses and Dissertations

Software defined networking (SDN) improves upon traditional networking protocol technologies by decoupling the data and control planes and moving all control provisioning decisions to a centralized SDN controller entity. This concept has matured over the last decade, having gained strong industry traction, and is now being widely deployed within enterprise and carrier networks to streamline network services provisioning and reduce costs. Overall, centralized control delivers much more cost-effective and flexible networking setups that can support a wide range of customized user-driven network management applications, e.g., traffic engineering, security, survivability, admission control, policy control, etc.

However, the separation of the data …

Shtëpit E Mençura, Teknologjia, Implementimi Dhe Zgjerimi I Saj Sot, Blendi Robaj

Theses and Dissertations

Sistemet e shtëpive të mençura arritën popullaritet të madh në dekadat e fundit ashtu si edhe ato rrisin komoditetin dhe cilësinë e jetës. Shumica e sistemeve të shtëpive të mençura kontrollohen nga smartphone dhe mikrokontrollues. Një aplikacion smartphone përdoret për të kontrolluar dhe monitoroni funksionet e shtëpisë duke përdorur teknikat e komunikimit pa kabllo. Në këtë punim përmes metodës së analizës do ta trajtojmë në mënyrë me specifike rendësin e shtëpive të mençura (smart home).

Shtëpia e zgjuar është zgjerimi rezidencial i automatizimit të ndërtesës dhe përfshin kontrollin dhe automatizimin e të gjithë teknologjisë së saj të ngulitur. Ajo përcakton …

E-Ditari, Enis Halimi

Theses and Dissertations

Pasi bota u godit nga një pandemi e cila bëri që të mbyllen shkollat, mësimi nëpër shkolla u vendos të vijonte online. Kjo bëri që shumë gjëra tradicionale të shkollave si ditarët e shumë gjëra tjera të mos përdoren më. Synimi i këtij punimi është zhvillimi i një ditari elektronik ose E-Ditari. E-Ditari është një web aplikacion i cili bën zgjidhjen e këtyre problemeve duke zëvendësuar ditarët e shkollave të ndryshme. Programi ndahet në dy pjesë, atë të nxënësit/prindërit si dhe mësimdhënësit/stafit të shkollës. Qasjen në program mund të bëhet përmes internetit duke përdorur shfletuesit si dhe qasje do të …

Guest Editorial: Edge Intelligence For Beyond 5g Networks, Yan Zhang, Zhiyong Feng, Hassnaa Moustafa, Feng Ye, Usman Javaid, Chunfen Cui

Electrical and Computer Engineering Faculty Publications

Beyond fifth-generation (B5G) networks, or so-called "6G", is the next-generation wireless communications systems that will radically change how Society evolves. Edge intelligence is emerging as a new concept and has extremely high potential in addressing the new challenges in B5G networks by providing mobile edge computing and edge caching capabilities together with Artificial Intelligence (AI) to the proximity of end users. In edge intelligence empowered B5G networks, edge resources are managed by AI systems for offering powerful computational processing and massive data acquisition locally at edge networks. AI helps to obtain efficient resource scheduling strategies in a complex environment with …

Feature Extraction And Design In Deep Learning Models, Daniel Perez

Computational Modeling & Simulation Engineering Theses & Dissertations

The selection and computation of meaningful features is critical for developing good deep learning methods. This dissertation demonstrates how focusing on this process can significantly improve the results of learning-based approaches. Specifically, this dissertation presents a series of different studies in which feature extraction and design was a significant factor for obtaining effective results. The first two studies are a content-based image retrieval system (CBIR) and a seagrass quantification study in which deep learning models were used to extract meaningful high-level features that significantly increased the performance of the approaches. Secondly, a method for change detection is proposed where the …

Learning Discriminative And Efficient Attention For Person Re-Identification Using Agglomerative Clustering Frameworks, Kshitij Nikhal

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Recent advancements like multiple contextual analysis, attention mechanisms, distance-aware optimization, and multi-task guidance have been widely used for supervised person re-identification (ReID), but the implementation and effects of such methods in unsupervised person ReID frameworks are non-trivial and unclear, respectively. Moreover, with increasing size and complexity of image- and video-based ReID datasets, manual or semi-automated annotation procedures for supervised ReID are becoming labor intensive and cost prohibitive, which is undesirable especially considering the likelihood of annotation errors increase with scale/complexity of data collections. Therefore, this thesis proposes a new iterative clustering framework that incorporates (a) two attention architectures that learn …

The Modular Oceanic Autonomous Underwater Vehicle For Novel Actuation, Bryan Gilbertson, John Elstad, Matthew Holmes, Sean Even, Robert Percell, Andrew Kambe, Gregor Limstrom

Interdisciplinary Design Senior Theses

A low-drag, high endurance, and high efficiency Long Range Autonomous Underwater Vehicle is a desired asset to Santa Clara University to aid future underwater vehicle development efforts. Such an vehicle will demonstrate novel actuation methods and provide the on-campus Robotics Systems Laboratory with a modular prototype to aid research and academic efforts. In this paper, we document the construction of a low cost, modular, demonstration vehicle that satisfies the requirements for high-efficiency operation and modular interfaces. The completed vehicle features standard actuation abilities utilizing low-drag methods that qualify it for shallow water operation. Furthermore, the vehicle demonstrates the feasibility of …

Data-Efficient Machine Learning With Focus On Transfer Learning, Shuteng Niu

Doctoral Dissertations and Master's Theses

Machine learning (ML) has attracted a significant amount of attention from the artificial intelligence community. ML has shown state-of-art performance in various fields, such as signal processing, healthcare system, and natural language processing (NLP). However, most conventional ML algorithms suffer from three significant difficulties: 1) insufficient high-quality training data, 2) costly training process, and 3) domain discrepancy. Therefore, it is important to develop solutions for these problems, so the future of ML will be more sustainable. Recently, a new concept, data-efficient ma- chine learning (DEML), has been proposed to deal with the current bottlenecks of ML. Moreover, transfer learning (TL) …

A Comprehensive Mapping And Real-World Evaluation Of Multi-Object Tracking On Automated Vehicles, Alexander Bassett

Doctoral Dissertations and Master's Theses

Multi-Object Tracking (MOT) is a field critical to Automated Vehicle (AV) perception systems. However, it is large, complex, spans research fields, and lacks resources for integration with real sensors and implementation on AVs. Factors such those make it difficult for new researchers and practitioners to enter the field.

This thesis presents two main contributions: 1) a comprehensive mapping for the field of Multi-Object Trackers (MOTs) with a specific focus towards Automated Vehicles (AVs) and 2) a real-world evaluation of an MOT developed and tuned using COTS (Commercial Off-The-Shelf) software toolsets. The first contribution aims to give a comprehensive overview of …

Towards A Federated Identity And Access Management Across Universities, Jameel Alsulami

Doctoral Dissertations and Master's Theses

Many research projects are too complex to yield the efforts of a single investigator and require a coordinated effort from interdisciplinary research teams across universities and industries. The research data, documents, experimental testbeds, high-end computing equipment, etc. is a critical component of any large-scale project and hence the cooperation and resource sharing across universities become very important for timely and budget-friendly execution of these projects. However, it is extremely challenging to frequently and effectively access data and other resources across universities without creating new identities for the users. In this thesis, we propose Federated Identity Management (FIM) approach for facilitating …

Ez-Translate, Mason D. Beattie

Honors Theses

This report describes the EZ-Translate Software that was designed and developed by Mason Beattie for the CSCI495-D1 Honors Capstone Project and Course at Coastal Carolina University. This project is built from Java and is designed for the Windows 10 operating system. While running it displays or hides a translation menu when the designated key binds are pressed. Translations supported include select phrases from English, German, and Russian. The application also provides localization support for these three languages. The overall goal of this project to provide translation services while within another application was successfully achieved. The application utilizes an open-source Java …

Classification Of Primary Versus Metastatic Pancreatic Tumor Cells Using Multiple Biomarkers And Whole Slide Imaging, Poupack Pooshang Baghery

Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research

Pancreatic cancer is a challenging cancer with a high mortality rate and a 5-year survival rate between 2% to 9%. The role of biomarkers is crucial in cancer prognosis, diagnosis, and predicting the possible responses to a specific therapy. The Discovery and development of various types of biomarkers have been studied intensively in the hope of determining the best treatment approaches, better management, and possibly cure of this deadly cancer. However, metastasis, responsible for about 90% of the deaths from cancer, is still poorly understood. A few research that have investigated the expression of a particular biomarker or a panel …

Experimental Study Of Hollow-Core Slab Containing Waste Pet Bottles, Mulia Orientilize, Josia Irwan Rastandi, R. M. Dimas Aries C., Marsha Niken P., Krisna Adi S.S., Abimantrana Abimantrana

Makara Journal of Technology

This study investigated the utilization of plastic-waste concrete as an effort to reduce urban waste problems. The waste plastic bottles were utilized to form the hollows of the hollow-core slabs (HCSs). The bottles were made of polyethylene terephthalate (PET). As a part of green research to reuse waste material, shredded PET was also added to the concrete mixture to improve the HCS strength. The cast-in-site HCS could be constructed without any difficulties. Three parameters were investigated: the effects of void content, shredded PET content, and steel-fiber (SF) content on the HCS ultimate bending capacity (Mu). Fifteen specimens were tested under …

Understanding And Avoiding Ai Failures: A Practical Guide., Robert Max C Williams

Electronic Theses and Dissertations

As AI technologies increase in capability and ubiquity, AI accidents are becoming more common. Based on normal accident theory, high reliability theory, and open systems theory, we create a framework for understanding the risks associated with AI applications. In addition, we also use AI safety principles to quantify the unique risks of increased intelligence and human-like qualities in AI. Together, these two fields give a more complete picture of the risks of contemporary AI. By focusing on system properties near accidents instead of seeking a root cause of accidents, we identify where attention should be paid to safety for current …

Project Shearwater Ground Effect Uav, Duncan Clark, Justin Cole, Zachary Karat, Aidan Nickels, Cole Wolfe

Interdisciplinary Design Senior Theses

The Shearwater unmanned aerial vehicle is a maritime fixed-wing drone that is designed to use ground effect force generated between the aircraft and a body of water to efficiently propel itself near the surface of a body of water. Shearwater features a virtual reality pilot interface and will act as a hybrid underwater vehicle that will eventually be able to operate both above and beneath the ocean’s surface. The Shearwater team developed existing design work to produce major subsystems that culminated in a flyable functioning prototype. An existing airframe was updated with working control surfaces tested in simulation and in …

Marine Robot Deployment And Control System, Nicky Castillo, Nick Ellis, Trent Kelsall, Matt Kiyama

Interdisciplinary Design Senior Theses

A full operations package for underwater research, including the mid-sized ROV Nautilus with a distributed control system, a topside graphical user interface (GUI), and a dedicated launch and recovery system (LARS), was developed to increase the operational efficiency of scientific exploration and experimentation missions through Santa Clara University’s (SCU’s) Robotics Systems Laboratory (RSL). Design of the mechanical subsystems on Nautilus added flexibility of usage and protection of components. The new GUI improved pilot control of Nautilus with an added heads-up display and easy access to sensor readouts. The simulated Nautilus altitude control system has an error of ±1% and a …

Internet Of Things Based Messaging Protocols For Aquaculture Applications - A Bibliometric Analysis And Review, Rupali Shete, Anupkumar M. Bongale Dr., Arunkumar Bongale Dr.

Library Philosophy and Practice (e-journal)

Internet of Things (IoT) which connects real-world physical objects with various identities involves different technologies and research areas. As it is an integration of different standards and technologies with numerous capabilities, the implementation phase needs to consider important parameters of communication. In IoT this is achieved through messaging protocols. Each object has its own limitations in terms of sensing capability, storage capacity, connectivity, power utilization, etc. And hence when such objects are deployed for different applications, they need to perform well in terms of their various capabilities. Messaging protocols at this stage need to consider these diverse elements. One of …

Newslink: Empowering Intuitive News Search With Knowledge Graphs, Yueji Yang, Yuchen Li, Anthony Tung

Research Collection School Of Computing and Information Systems

News search tools help end users to identify relevant news stories. However, existing search approaches often carry out in a "black-box" process. There is little intuition that helps users understand how the results are related to the query. In this paper, we propose a novel news search framework, called NEWSLINK, to empower intuitive news search by using relationship paths discovered from open Knowledge Graphs (KGs). Specifically, NEWSLINK embeds both a query and news documents to subgraphs, called subgraph embeddings, in the KG. Their embeddings' overlap induces relationship paths between the involving entities. Two major advantages are obtained by incorporating subgraph …

Improving The Intellectual And Social Development Of Children With Autism: Design Of A Training Center For Autism, Hasti Jalalian

Makara Journal of Technology

Research on the relationship between the role of architecture and the psychology of children with autism, which indicates that appropriate environments for these children can have a significant effect on their healthcare process, has been recently conducted. However, statistics show that autism spectrum disorders are pervasive, and its extent in Iran has been increasing. Moreover, centers that are specifically designed for children with autism are limited, and paradigms are made without considering the mood of these children. Given the role of architecture in designing a suitable space for these children, an investigation that can identify the specific requirements of these …

Numerical Study Of A Buckling Restrained Brace (Brb) In Steel Structures And Comparison With A Convergent Ordinary Brace (Ocb) Under Static And Dynamic Loading, Fatemeh Habibpour

Makara Journal of Technology

Bulk metallic glass (BMG) has good mechanical strength, high hardness, wear resistance, and corrosion resistance with promising application in various industries. However, for the industrial production of BMG, the main issue is how to overcome limitations of joining with other materials. The present study focuses on solder processing at low operating temperature to avoid exceeding the recrystallization temperature. A feasible joining process for BMG was developed using lead-free solders. The BMG surface is pre-plated with copper, nickel, or titanium as a wetting layer. The reaction temperature is set between the glass transition temperature of BMG and the melting point of …

Analysis Of The Interfacial Reaction Between Bulk Metallic Glass Coated Copper, Nickel, And Titanium With Lead-Free Solders, Andromeda Dwi Laksono, Yee-Wen Yen, Rifqi Aulia Tanjung, Teodoro A. Amatosa, Ruki Harwahyu

Makara Journal of Technology

Bulk metallic glass (BMG) has good mechanical strength, high hardness, wear resistance, and corrosion resistance with promising application in various industries. However, for the industrial production of BMG, the main issue is how to overcome limitations of joining with other materials. The present study focuses on solder processing at low operating temperature to avoid exceeding the recrystallization temperature. A feasible joining process for BMG was developed using lead-free solders. The BMG surface is pre-plated with copper, nickel, or titanium as a wetting layer. The reaction temperature is set between the glass transition temperature of BMG and the melting point of …

Design Of Ac Microgrid Topology With Photovoltaic Uncertainties In A Rural Village, Vannak Vai

Makara Journal of Technology

Energy needs are increasing day by day, especially for developing countries, due to population growth and changing lifestyles. A suitable microgrid topology with renewable energy integration is considered to fulfill the people and society’s needs. This paper focuses on the design of AC microgrid topology for a nonelectrified village with the integration of PV uncertainties in both sitting and sizing. The development of an optimal algorithm based on the conductor use minimization and unbalanced load improvement is proposed. The shortest path is proposed to search for the minimum conductor use. Then, the algorithm for improving the unbalanced load with two …