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3d Bionic Arm, Anny Baez Silfa 2021 CUNY New York City College of Technology

3d Bionic Arm, Anny Baez Silfa

Publications and Research

Previous work had been done on what was an adaptation of a robotic arm for Roboqueen, which is a persistent research project of the Department of Computer Engineering Technology. This robotic arm consisted of removing the cardboard hands from the Roboqueen and being replaced by 3D printed fingers and wrists to add functionality that did not exist before. Servo motors connected to Arduinos hidden in the forearm will be used to move the fingers and pick up and hold objects in the hand. Currently, the Finger Myoware is an update of the robotic arm in order to understand how prosthetic ...


Enterprise Environment Modeling For Penetration Testing On The Openstack Virtualization Platform, Vincent Karovič Jr., Jakub Bartaloš, Vincent Karovič, Michal Greguš 2021 Comenius University

Enterprise Environment Modeling For Penetration Testing On The Openstack Virtualization Platform, Vincent Karovič Jr., Jakub Bartaloš, Vincent Karovič, Michal Greguš

Journal of Global Business Insights

The article presents the design of a model environment for penetration testing of an organization using virtualization. The need for this model was based on the constantly increasing requirements for the security of information systems, both in legal terms and in accordance with international security standards. The model was created based on a specific team from the unnamed company. The virtual working environment offered the same functions as the physical environment. The virtual working environment was created in OpenStack and tested with a Linux distribution Kali Linux. We demonstrated that the virtual environment is functional and its security testable. Virtualizing ...


Dynamic Planning Networks, Norman Tasfi, Miriam A M Capretz 2021 Western University

Dynamic Planning Networks, Norman Tasfi, Miriam A M Capretz

Electrical and Computer Engineering Publications

We introduce Dynamic Planning Networks (DPN), a novel architecture for deep reinforcement learning, that combines model-based and model-free aspects for online planning. Our architecture learns to dynamically construct plans using a learned state-transition model by selecting and traversing between simulated states and actions to maximize information before acting. DPN learns to efficiently form plans by expanding a single action conditional state transition at a time instead of exhaustively evaluating each action, reducing the number of state-transitions used during planning. We observe emergent planning patterns in our agent, including classical search methods such as breadth-first and depth-first search. DPN shows improved ...


Hybrid Recommendation System Approach For Appropriate Developer Selection In Bug Repositories, Mohanad AL-İMARİ, Sefer KURNAZ, Jalal S. H. AL-BAYATİ 2021 Altınbaş University

Hybrid Recommendation System Approach For Appropriate Developer Selection In Bug Repositories, Mohanad Al-İmari, Sefer Kurnaz, Jalal S. H. Al-Bayati

Dicle University Journal of Engineering

The essential destination of this research is to develop a hybrid recommendation system methodology to enhance the overall performance accuracy of such existed systems, this recommendation approach normally utilized to assign or propose a few counted numbers of programmers or developers that capable of resolving system's bug reports generated automatically from an open source bug repository, meaning the system decides which programmers or developers should be taken into account to be in charge of finding a solution the bugs mentioned in the bug's report. The definition of the bug selection problems in bug repositories are the activities that ...


Six Sigma, Sustainability, And It Management: A Research Review And Discussion Of Future Directions, Manal Alduraibi, Timothy Winders, Chad Laux 2021 Purdue University

Six Sigma, Sustainability, And It Management: A Research Review And Discussion Of Future Directions, Manal Alduraibi, Timothy Winders, Chad Laux

International Conference on Lean Six Sigma

Abstract

Purpose- Six Sigma is based upon quality improvement by finding the root cause and refining processes to the precision of process outcomes. The purpose of this research was to conduct a systematic literature review (SLR) to explore the Six Sigma techniques and information technology (IT) management concepts to identify the IT management principle's impact on the sustainability of Six Sigma project efforts and identify the gaps that are essential to be addressed through further research. This research also discusses the principles of IT management upon the influence on Six Sigma projects, and subsequent contribution to organizational economic sustainability ...


Personalized Digital Phenotype Score, Healthcare Management And Intervention Strategies Using Knowledge Enabled Digital Health Framework For Pediatric Asthma, Utkarshani Jaimini, Amit Sheth 2021 University of South Carolina - Columbia

Personalized Digital Phenotype Score, Healthcare Management And Intervention Strategies Using Knowledge Enabled Digital Health Framework For Pediatric Asthma, Utkarshani Jaimini, Amit Sheth

Publications

Asthma is a personalized, and multi-trigger respiratory condition which requires continuous monitoring and management of symptoms and medication adherence. We developed kHealth: Knowledge-enabled Digital Healthcare Framework to monitor and manage the asthma symptoms, medication adherence, lung function, daily activity, sleep quality, indoor, and outdoor environmental triggers of pediatric asthma patients. The kHealth framework collects up to 1852 data points per patient per day. It is practically impossible for the clinicians, parents, and the patient to analyze this vast amount of multimodal data collected from the kHealth framework. In this chapter, we describe the personalized scores, clinically relevant asthma categorization using ...


Seamless Container Migration Between Cloud And Edge, Aditya Mohan, Jonathan Yezalaleul, Angeline Chen, Tamir Enkhjargal 2021 Santa Clara University

Seamless Container Migration Between Cloud And Edge, Aditya Mohan, Jonathan Yezalaleul, Angeline Chen, Tamir Enkhjargal

Computer Science and Engineering Senior Theses

Considering the limited resources of edge devices, it is essential to monitor their current resource utilization and device resource allocation strategies that assign containers to edge and cloud nodes based on their priority. Edge containers may need to be migrated to a cloud platform to reduce the load of edge devices and allow for running missions critical applications. In this case, we proposed a prioritization method to exchange containers between the edge and cloud, while trying to assign delay-sensitive containers to edge nodes. We evaluate the performance of running Docker container management systems on resource-constrained machines such as Raspberry Pi ...


Drone-Based Wireless Communications For Disaster Recovery, Mark Rizko, Cameron Burdsall 2021 Santa Clara University

Drone-Based Wireless Communications For Disaster Recovery, Mark Rizko, Cameron Burdsall

Computer Science and Engineering Senior Theses

This project aims to establish a drone system that can deploy a wireless mesh network over a disaster area, which would aid in the process of finding survivors by using wireless communications to identify where victims are and allow authorities to send out alerts to people in the area. We also seek to add a device detection feature that would allow the drones to passively look for devices through WiFi and Bluetooth Low Energy, giving disaster responders the ability to actively identify specific devices, locate zones where victims lie, and discern a rough population estimate of that area. Those that ...


Enhanced Sensing Methods For Uav-Based Disaster Recovery, Connor Azzarello, Chris Gerbino, Ruchir Mehta 2021 Santa Clara University

Enhanced Sensing Methods For Uav-Based Disaster Recovery, Connor Azzarello, Chris Gerbino, Ruchir Mehta

Computer Science and Engineering Senior Theses

Natural and human-caused disasters devastate and displace civilian populations. Over the past century, the rate at which these catastrophes occur has increased dramatically. Climate change and unsustainable human behaviors are large contributors to the occurrence of natural disasters, therefore it is likely this upward trend will continue. The region of the world where a disaster takes place often determines how severe the implications are for the affected civilians. The devastation that occurs from a disaster is much greater in low-resourced regions of the world.

Unmanned aerial vehicles (UAVs) are commonly used to assist first responders during disaster response. The existing ...


Rebalancing Shared Mobility Systems By User Incentive Scheme Via Enforcement Learning, Matthew Brian Schofield 2021 Rowan University

Rebalancing Shared Mobility Systems By User Incentive Scheme Via Enforcement Learning, Matthew Brian Schofield

Theses and Dissertations

Shared mobility systems regularly suffer from an imbalance of vehicle supply within the system, leading to users being unable to receive service. If such imbalance problems are not mitigated some users will not be serviced. There is an increasing interest in the use of reinforcement learning (RL) techniques for improving the resource supply balance and service level of systems. The goal of these techniques is to produce an effective user incentivization policy scheme to encourage users of a shared mobility system to slightly alter their travel behavior in exchange for a small monetary incentive. These slight changes in user behavior ...


Windows Kernel Hijacking Is Not An Option: Memoryranger Comes To The Rescue Again, Igor Korkin 2021 Independent Researcher

Windows Kernel Hijacking Is Not An Option: Memoryranger Comes To The Rescue Again, Igor Korkin

Journal of Digital Forensics, Security and Law

The security of a computer system depends on OS kernel protection. It is crucial to reveal and inspect new attacks on kernel data, as these are used by hackers. The purpose of this paper is to continue research into attacks on dynamically allocated data in the Windows OS kernel and demonstrate the capacity of MemoryRanger to prevent these attacks. This paper discusses three new hijacking attacks on kernel data, which are based on bypassing OS security mechanisms. The first two hijacking attacks result in illegal access to files open in exclusive access. The third attack escalates process privileges, without applying ...


Alzheimer’S Disease Diagnostic Support Tool, Chelsea Fernandes, Shreya Venkatesh, Aiyushi Kumar 2021 Santa Clara University

Alzheimer’S Disease Diagnostic Support Tool, Chelsea Fernandes, Shreya Venkatesh, Aiyushi Kumar

Computer Science and Engineering Senior Theses

Alzheimer’s Disease is the 6th leading cause of death overall and the most common cause of dementia in older people in the US. The prevalence of the disease is projected to increase in the next few decades and disproportionately impact low/middle income populations. Unfortunately, specialized doctors, such as neurologists, may not be present in situations where a diagnosis is necessary, resulting in the possibility of AD being overlooked at its early and most treatable stages. Our proposed application is a tool that can aid doctors in determining a probable AD diagnosis using an inputted combination of imaging data ...


Bluetooth Security Of Colocated Apps On Android, Sean Kelker, Omar Garcia 2021 Santa Clara University

Bluetooth Security Of Colocated Apps On Android, Sean Kelker, Omar Garcia

Computer Science and Engineering Senior Theses

The Bluetooth protocol is used millions of times per day, as a means of short-range wireless communication. Many of these connections are between a phone running the Android operating system and an external device. Due to Android’s implementation of Bluetooth, however, unrelated applications that are co-located on the phone have the potential to stealthily send and receive communications from any device that is connected. Our project involves creating malicious applications to investigate the effectiveness of this attack on real-world devices, and we show that the vulnerability above has practical applications. We also create a defense against this attack by ...


Is Social Diversity Related To Misinformation Resistance? An Empirical Study On Social Communities, I Chang, Orion Sun, Jasper Sang Ahn 2021 Santa Clara University

Is Social Diversity Related To Misinformation Resistance? An Empirical Study On Social Communities, I Chang, Orion Sun, Jasper Sang Ahn

Computer Science and Engineering Senior Theses

Misinformation has become a pervasive issue on online social media. Whether it is spread purposefully with ill intent or accidentally through ignorance, misinformation can be dangerous and create confusion in those who are affected by it. The investigation presented in this paper found that no research has been performed that directly examine the correlation between a social community’s misinformation resistance and diversity. This project utilizes CrowdTangle, a tool to gather data from Facebook groups, along with machine learning models to determine if this correlation can be drawn. We were able to find correlations between some diversity metrics with misinformation ...


Multi-Class Multi-Intersection Iot-Based Vehicle Counting, Jay Ladhad, Colin Rioux, Maggie Dong, Chris Tian, Donovan Allen 2021 Santa Clara University

Multi-Class Multi-Intersection Iot-Based Vehicle Counting, Jay Ladhad, Colin Rioux, Maggie Dong, Chris Tian, Donovan Allen

Computer Science and Engineering Senior Theses

Traffic management is an important public infrastructure component that can greatly benefit from an intelligent reactive system. Vehicle counting is a vital aspect of an intelligent traffic system that could mitigate traffic congestion and increase the efficiency of traffic lights. While previous research has made progress in developing machine learning algorithms for vehicle counting and tracking, they did not have any hardware constraints and were not designed to run on IoT devices in real time. Our team proposes a decentralized method of vehicle counting and tracking through a system of IoT devices, namely Jetson Xavier NX’s, that communicate vehicle ...


Real-Time Multi-Camera Traffic Intersection Analysis On Iot Devices, Ethan Paek, Tyler Niiyama, Justin Liu, Spencer Tsang, Kent Ngo, Jackson Tseng 2021 Santa Clara University

Real-Time Multi-Camera Traffic Intersection Analysis On Iot Devices, Ethan Paek, Tyler Niiyama, Justin Liu, Spencer Tsang, Kent Ngo, Jackson Tseng

Computer Science and Engineering Senior Theses

The continuous growth of urban and suburban areas has increased the number of commuters and general transportation along central roadways, which has resulted in a trend of more traffic congestion in essential areas every year. This creates a challenge for civil engineers to improve the efficiency of the traffic intersection systems. Our team worked on this issue by building a system to improve traffic intersection analysis by video camera to count cars using multiple camera angles at a single intersection. By providing better real-time traffic network analysis, civil engineers can more accurately monitor the efficiency of traffic intersections and then ...


Smart Grid Security Simulator, Christopher Woo 2021 Santa Clara University

Smart Grid Security Simulator, Christopher Woo

Computer Science and Engineering Senior Theses

No abstract provided.


Smart Pantry, Audrey Hou, Sukruth Krishnakumar, Jacob Lucke 2021 Santa Clara University

Smart Pantry, Audrey Hou, Sukruth Krishnakumar, Jacob Lucke

Computer Science and Engineering Senior Theses

Two-thirds of food waste at home is due to food going bad before it is used. Mitigating this food waste would mean keeping track of groceries’ shelf lives, which is a time sink. Our solution is a grocery monitoring system that tracks grocery items, saves time, and makes meal planning more convenient and efficient through recipe recommendation. Tracking groceries is accomplished through using a camera in tandem with weight sensors. Grocery items are identified using computer vision to avoid the tedium of manually inputting grocery information. With the data collected, a dashboard is generated with groceries currently on the scale ...


Stickars: Effortlessly Apply A Fun Overlay To The Real World, Théo Arrouye, Jackson Centeno, Morgan Fleshren, Vasilis Odysseos 2021 Santa Clara University

Stickars: Effortlessly Apply A Fun Overlay To The Real World, Théo Arrouye, Jackson Centeno, Morgan Fleshren, Vasilis Odysseos

Computer Science and Engineering Senior Theses

Augmented Reality (AR) technology has slowly seeped into the mainstream as many mobile phone manufacturers increasingly develop hardware and software that enable AR applications. While the technology has been available for the past few years, there are not many compelling AR applications available on mobile phones. Additionally, shared AR experiences are difficult to produce and share. In order to create a compelling AR application, we created StickARs, an iOS application that makes it easy to create and share AR experiences , by placing virtual stickers anywhere in the world.

StickARs allows users to choose from a predefined set of sticker templates ...


Urban Planning Optimization Via “Cities: Skylines”, Carter Duncan, Jack Cunningham, Andrew Wang, Alexander Kennedy 2021 Santa Clara University

Urban Planning Optimization Via “Cities: Skylines”, Carter Duncan, Jack Cunningham, Andrew Wang, Alexander Kennedy

Computer Science and Engineering Senior Theses

Artificial intelligence and machine learning have recently become a hot topic in terms of software solutions to complex problems. Every year, new prototypes and projects are created to solve specific problems, ranging from self-driving vehicles to facial recognition. One project which interested our team was OpenAI Five, which created an artificial intelligence agent to play the complex online competitive game DotA 2. We wanted to create our own agent to design optimized city layouts in the game Cities: Skylines. By doing so, we hope to illustrate the viability of using artificial intelligence as a tool in urban planning for real ...


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