Computer Engineering Commons^™

Dynamics Modeling And Online Prediction Of Energy Consumption Of Discrete Manufacturing System, Wei Chen, Yan Wang, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the traditional energy consumption modeling methods of discrete manufacturing system being difficult to adapt to the complexity and variability of working conditions, an online dynamic energy consumption modeling method based on real-time data is proposed. The energy consumption affecting factors are determined by analyzing the operation mechanism of the discrete manufacturing system and equipment. An online sequential extreme learning machine algorithm that can dynamically adjust the number of hidden layer nodes is proposed to construct the energy consumption model. The real-time data can update the model quickly. Bernstein's inequality is introduced to improve the model data screening …

Network Economics-Based Crowdsourcing In Online Social Networks, Natasha S. Kubiak

Electrical and Computer Engineering ETDs

This thesis addresses the challenge of user recruitment by various competing marketing agencies (MAs) in Online Social Networks. A labor economics approach, following the principles of contract theory, is devised to enable MAs to reveal the potential of each participating user to contribute a personalized level of quality and quantity of information to the crowdsourcing process. The MAs objective is to maximize their personal benefit, i.e., total utility obtained, given its budget. The latter optimization problem is formulated as a Generalized Colonel Blotto (GCB) game among the MAs, where each MA aims at incentivizing each user to report its information. …

Study Of Lipophilicity And Adme Properties Of 1,9-Diazaphenothiazines With Anticancer Action, Beata Morak-Młodawska, Małgorzata Jeleń, Emilia Martula, Rafał Korlacki

Department of Electrical and Computer Engineering: Faculty Publications

Lipophilicity is one of the key properties of a potential drug that determines the solubility, the ability to penetrate through cell barriers, and transport to the molecular target. It affects pharmacokinetic processes such as adsorption, distribution, metabolism, excretion (ADME). The 10-substituted 1,9-diazaphenothiazines show promising if not impressive in vitro anticancer potential, which is associated with the activation of the mitochondrial apoptosis pathway connected with to induction BAX, forming a channel in MOMP and releasing cytochrome c for the activation of caspases 9 and 3. In this publication, the lipophilicity of previously obtained 1,9-diazaphenothiazines was determined theoretically using various computer programs …

Study Of Lipophilicity And Adme Properties Of 1,9-Diazaphenothiazines With Anticancer Action, Beata Morak-Młodawska, Małgorzata Jeleń, Emilia Martula, Rafał Korlacki

Department of Electrical and Computer Engineering: Faculty Publications

Lipophilicity is one of the key properties of a potential drug that determines the solubility, the ability to penetrate through cell barriers, and transport to the molecular target. It affects pharmacokinetic processes such as adsorption, distribution, metabolism, excretion (ADME). The 10-substituted 1,9-diazaphenothiazines show promising if not impressive in vitro anticancer potential, which is associated with the activation of the mitochondrial apoptosis pathway connected with to induction BAX, forming a channel in MOMP and releasing cytochrome c for the activation of caspases 9 and 3. In this publication, the lipophilicity of previously obtained 1,9-diazaphenothiazines was determined theoretically using various computer programs …

Evaluation Of E-Government Information Systems Agility: A Method And Case Study, Soumia Aggoune, Maohamed Amine Riahla

Emirates Journal for Engineering Research

Development of e-government evaluation frameworks began around 2000s. Most of the developed approaches are technologically driven in which they focus on the “E” rather than the “Government”. Moreover, they tend to evaluate tangible measures (such as costs, benefits, etc.) and neglects important intangible measures (such as agility, sustainability, etc.). The state of the art tells that the evaluation of agility within e-government has been proved to be important but complex. However, the importance is due to the increasing need for governments to justify investments, assess impacts and monitor progress in the ever-changing environment. On the other side, the complexity comes …

Domain Specific Analysis Of Privacy Practices And Concerns In The Mobile Application Market, Fahimeh Ebrahimi Meymand

LSU Doctoral Dissertations

Mobile applications (apps) constantly demand access to sensitive user information in exchange for more personalized services. These-mostly unjustified-data collection tactics have raised major privacy concerns among mobile app users. Existing research on mobile app privacy aims to identify these concerns, expose apps with malicious data collection practices, assess the quality of apps' privacy policies, and propose automated solutions for privacy leak detection and prevention. However, existing solutions are generic, frequently missing the contextual characteristics of different application domains. To address these limitations, in this dissertation, we study privacy in the app store at a domain level. Our objective is to …

Leveraging Artificial Intelligence And Machine Learning For Enhanced Cybersecurity: A Proposal To Defeat Malware, Emmanuel Boateng

Cybersecurity Undergraduate Research Showcase

Cybersecurity is very crucial in the digital age in order to safeguard the availability, confidentiality, and integrity of data and systems. Mitigation techniques used in the industry include Multi-factor Authentication (MFA), Incident Response Planning (IRP), Security Information and Event Management (SIEM), and Signature-based and Heuristic Detection.

MFA is employed as an additional layer of protection in several sectors to help prevent unauthorized access to sensitive data. IRP is a plan in place to address cybersecurity problems efficiently and expeditiously. SIEM offers real-time analysis and alerts the system of threats and vulnerabilities. Heuristic-based detection relies on detecting anomalies when it comes …

Blockchain Accelerators And An Application On Covid-19 Contact Tracing, Tao Lu

LSU Doctoral Dissertations

Blockchain technology has been an emerging technology in recent years. Its nature of decentralization and anonymity enables many applications to be built in a trustless environment but can still be validated and agreed upon by all the participants. Ever since the invention of blockchain technology, its concepts and forms are explored extensively, and it has shown the potential to be used in many industries. However, the low efficiency and the poor performance have prevented the technology to be adopted in practical largescale usage. In this dissertation, we present three major works around blockchain technology. The first one is BPU, an …

Assessing The Ability Of Arduino-Based Sensor Systems To Monitor Changes In Water Quality, Josiah Hacker

Honors College Theses

Access to safe water is vital to public health. While developed countries like the United States are recognized as having reliable and safe water, many small water utilities struggle with supplying consistent water quality. Technicians of these utilities will periodically test water samples from the influent and throughout the distribution system. However, this laborious and costly process does not capture sudden changes in influent water quality due to environmental conditions or pipes breaking in the distribution system. Here I show how an Arduino-based sensor can be used as a real-time, low-cost monitor of water quality parameters. Specifically, I developed a …

Machine-Learning Approaches For Developing An Autograder For High School-Level Cs-For-All Initiatives, Sirazum Munira Tisha

LSU Doctoral Dissertations

Most existing autograders used for grading programming assignments are based on unit testing, which is tedious to implement for programs with graphical output and does not allow testing for other code aspects, such as programming style or structure. We present a novel autograding approach based on machine learning that can successfully check the quality of coding assignments from a high school-level CS-for-all computational thinking course. For evaluating our autograder, we graded 2,675 samples from five different assignments from the past three years, including open-ended problems from different units of the course curriculum. Our autograder uses features based on lexical analysis …

The Fashion Visual Search Using Deep Learning Approach, Smita V. Bhoir, Sunita R. Patil

Library Philosophy and Practice (e-journal)

In recent years, the World Wide Web (WWW) has established itself as a popular source of information. Using an effective approach to investigate the vast amount of information available on the internet is essential if we are to make the most of the resources available. Visual data cannot be indexed using text-based indexing algorithms because it is significantly larger and more complex than text. Content-Based Image Retrieval, as a result, has gained widespread attention among the scientific community (CBIR). Input into a CBIR system that is dependent on visible features of the user's input image at a low level is …

Beirut Arab University - Faculty Of Engineering - Newsletter Issue 0, Faculty Of Engineering, Beirut Arab University

Engineering Newsletters

No abstract provided.

Reactive Particle Swarm Control Architecture And Application For Scalar Field Adaptive Navigation, Shae Taylor Hart

Engineering Ph.D. Theses

Adaptive navigation is a subcategory of navigation techniques that attempts to identify goal locations that satisfy specific criteria in an unknown area. In 2D scalar field adaptive navigation (SFAN), primitives navigate to or along features of interest in an unknown, possibly time-varying, planar scalar field. Features include extrema, contours, and fronts. This work solves the 2D SFAN problem using swarm robotic techniques. Robotic swarms are a subset of multi-robot systems that use decentralized control of simple interchangeable robots to perform collective actions. A subgroup of swarms is the Reactive Particle Swarm (RPS), characterized based on its simplicity, reactivity to its …

Comparison Of P4 Programmable Software Switches As Wifi Access Points, Kaustubh Pimparkar

Computer Science and Engineering Master's Theses

WiFi wireless access points must adapt to complex network operations as connected devices and their bandwidth requirements continue to rise. The use of software switches supporting Programming Protocol-independent Packet Processors (P4) in wireless access points has drawn significant attention due to their versatility, flexibility, and potential to overcome the limitations of conventional network designs. T4P4S and BmV2 are the two most widely used P4 programmable software switches, and comparing the performance of these switches allows network operators to select the most suitable switch for specific use cases, such as minimizing latency or maximizing throughput while reducing resource consumption of the …

Investigating The Use Of Recurrent Neural Networks In Modeling Guitar Distortion Effects, Caleb Koch, Scott Hawley, Andrew Fyfe

[Archive] Belmont University Research Symposium (BURS)

Guitar players have been modifying their guitar tone with audio effects ever since the mid-20th century. Traditionally, these effects have been achieved by passing a guitar signal through a series of electronic circuits which modify the signal to produce the desired audio effect. With advances in computer technology, audio “plugins” have been created to produce audio effects digitally through programming algorithms. More recently, machine learning researchers have been exploring the use of neural networks to replicate and produce audio effects initially created by analog and digital effects units. Recurrent Neural Networks have proven to be exceptional at modeling audio effects …

A Survey Of Text Representation And Embedding Techniques In Nlp, Rajvardhan Patil, Sorio Boit, Venkat Gudivada, Jagadeesh Nandigam

Open Access Publishing Support Funded Articles

Natural Language Processing (NLP) is a research field where a language in consideration is processed to understand its syntactic, semantic, and sentimental aspects. The advancement in the NLP area has helped solve problems in the domains such as Neural Machine Translation, Name Entity Recognition, Sentiment Analysis, and Chatbots, to name a few. The topic of NLP broadly consists of two main parts: the representation of the input text (raw data) into numerical format (vectors or matrix) and the design of models for processing the numerical data. This paper focuses on the former part and surveys how the NLP field has …

Nautilus Rov Robot Manipulator, Dana Stefanides, Jenny Huynh, Andrew Stewart, Steven Reimer, Andrew Nguyen, Rebecca Walters, Matt Hayes

Interdisciplinary Design Senior Theses

Global warming and climate change are prevalent issues in today’s society. As a result, research in the ocean, our world’s biggest ecosystem, is imperative in efforts to protect the environment. Santa Clara University’s Robotic Systems Lab contributes to this field through work and developments on remotely operated vehicles (ROVs). An existing ROV system called Nautilus consists of a robot arm, end effector, and storage system in order to collect various types of sediments at a depth of 300 feet. However, the previous system does not meet that requirement. In direct collaboration with researchers within the Monterey Bay Aquarium Research Institute, …

Run Toward The Incident: Collaboration Between Academia And Law Enforcement For Cybersecurity, Center For Cybersecurity, Stanley Mierzwa

Center for Cybersecurity

Collaboration and partnership between academia and law enforcement can bring about positive contributions for future research and activities in cybersecurity.

A Study Of Issues And Mitigations On Ddos And Medical Iot Devices, Jing-Chiou Liou, Robin Singh

Center for Cybersecurity

The Internet of Things (IoT) devices are being used heavily as part of our everyday routines. Through improved communication and automated procedures, its popularity has assisted users in raising the quality of work. These devices are used in healthcare in order to better collect the patient's data for their treatment. .

Research Days Poster: Cyberbullying Detection Utilizing Artificial Intelligence And Machine Learning, Annaliese Watson, Aysha Gardner, Dahana Moz Ruiz

Center for Cybersecurity

Technology is a tool that can be used to gain knowledge and for advancements in areas like medicine, machinery, and everyday tasks. It can be used to connect with friends, work from home, and to improve quality of life. But some social media users can use it to hurt others. Cyberbullying is a major issue that has been steadily growing over the past few years. Cyberbullying has also steadily increased the rates of stress, anxiety, depression, violent behavior, low self-esteem and may cause suicide. Cyberbullying is an ongoing problem for social media users, and it is urgent that a solution …