Computer Engineering Commons^™

Development And Implementation Of Non-Contact Measuring Machine In The Automobile Industry Of Gm Uzbekistan, Fazluddin Khusnuddinov, Jasurkhuja Kholkhujaev

Acta of Turin Polytechnic University in Tashkent

The main goal of this project is the introduction of a non-contact measuring machine at GM Uzbekistan plants, which will greatly improve the quality of the cars produced. Increase their competitiveness in the world market, which will increase the export of products. An automated robot with a 3D scanner instead of a probe will be used as a non-contact measuring machine for determining and measuring geometric deviations.

Computer Program, System, And Method For Observation And Communication For Mobile Settings, Mobile Applications, And Wearable Mobile Devices, Jibo He, Barbara Chaparro

Publications

A system including at least first and second wearable mobile devices and optionally one or more smartphones or other computing devices for allowing a wearable mobile device wearer, an on-site observer, and a remote observer to research and test usability of products in mobile settings, mobile applications, mobile devices, and wearable mobile devices, desktop usability settings, and other settings and devices. The devices nm a software application for generating first-person video and third-person video, transmitting the video to the other devices, marking the videos with time stamps, and allowing the remote observer to send messages and other information to the …

The Software Of Multi-Criteria And Multi-Level Estimation Of Investment Projects, E.B. Khaltursunov

Acta of Turin Polytechnic University in Tashkent

Here presents are research and developed algorithms and programs of multi-criteria and multi-level estimations of investment projects, tool-kit for generating multi-criteria and multi-level estimations of variants of investment projects.

Development Of Web-Based Quality Assurance Learning Management System, K. Khusanov

Acta of Turin Polytechnic University in Tashkent

Problems of the developing and using Web-based learning management system for improving specialists’ skills is considered in this paper. Particularly, it’s focused mostly on the e-learning systems for the distance education. Author uses his experience in development of such kind of systems in Uzbekistan.

A Fusion Detection Algorithm Targeted To Gene Expression Outliers Using Rna-Seq Data, Shahbozbek Abdunabiyev

Acta of Turin Polytechnic University in Tashkent

Nowadays there exist many bioinformatics tools that analyse sequencing data to identify genetic aberrations. The genetic aberrations can be amplification, mutation, copy number variation, fusion and so on. And they may cause pathology such as cancer. The identification of driving mechanism of pathology may lead us towards personalized or precise medicine. Personalized medicine is a medical model that uses genetic information of person’s disease to diagnose or treat the disease. The fusion detection tools are a subset of the bioinformatics tools that are targeted to find gene fusions. Usually, they have long execution time and work on the whole dataset …

An Overview Of The Usage Of Default Passwords, Brandon Knierem, Xiaolu Zhang, Philip Levine, Frank Breitinger, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

The recent Mirai botnet attack demonstrated the danger of using default passwords and showed it is still a major problem. In this study we investigated several common applications and their password policies. Specifically, we analyzed if these applications: (1) have default passwords or (2) allow the user to set a weak password (i.e., they do not properly enforce a password policy). Our study shows that default passwords are still a significant problem: 61% of applications inspected initially used a default or blank password. When changing the password, 58% allowed a blank password, 35% allowed a weak password of 1 character.

Electron Effective Mass In Sn-Doped Monoclinic Single Crystal B-Gallium Oxide Determined By Mid-Infrared Optical Hall Effect, Sean Knight, Alyssa Mock, Rafal Korlacki, Vanya Darakchieva, Bo Monemar, Yoshinao Kumagai, Ken Goto, Masataka Higashiwaki, Mathias Schubert

Department of Electrical and Computer Engineering: Faculty Publications

The isotropic average conduction band minimum electron effective mass in Sn-doped monoclinic single crystal B-Ga₂O₃ is experimentally determined by the mid-infrared optical Hall effect to be (0.28460.013)m₀ combining investigations on (010) and (_201) surface cuts. This result falls within the broad range of values predicted by theoretical calculations for undoped B-Ga₂O₃. The result is also comparable to recent density functional calculations using the Gaussian-attenuation- Perdew-Burke-Ernzerhof hybrid density functional, which predict an average effective mass of 0.267m₀. Within our uncertainty limits, we detect no anisotropy for the electron effective mass, which …

A Half-Yearly E-Newsletter Of The Department Of Computer Science And Engineering Manipal Institute Of Technology, Ashalatha Nayak

Faculty work

No abstract provided.

A Survey Of Digital Systems Curriculum And Pedagogy In Electrical And Computer Engineering Programs, Hector A. Ochoa, Mukul V. Shirvaikar

Faculty Publications

Digital Systems is one of the basic foundational courses in Electrical and Computer Engineering. One of the challenges in designing and modifying the curriculum for the course is the fast pace of technology change in the area. TTL chips that were in vogue with students building physical circuits, have given way to new paradigms like FPGA based synthesis with hardware description languages such as VHDL. However, updating a course is not as simple as just changing the book, and changing the syllabus. A large amount of work needs to be done in terms of selecting the book that will accommodate …

From Blockchain To Internet-Based Voting, Elham Akbari

ETD Archive

Blockchain has been one of the hottest topics among the state-of-the-art technologies. As the enabling technology for Bitcoin, the pioneering cryptocurrency, blockchain is an append-only distributed ledger that is virtually impossible to attack. Hence, blockchain holds great promises as the fundamental technology to enable Internet-based electronic voting. However, Internet-based voting has additional requirements than what monetary transactions such as Bitcoin have to offer. In this thesis, we discuss the key differences of a blockchain-based voting system with digital currencies. In this context we also highlight the requirements, review existing proposed solutions, and outline possible improvements. Specifically, we propose several schemes …

Bespoke Mobile Application Development: Facilitating Transition Of Foundation Students To Higher Education, Nevan Bermingham, Mark Prendergast

Books/Book Chapters

Smartphone usage by students has increased rapidly over the last number of years, and it is expected that the utilisation of mobile applications in educational environments will continue to increase. This chapter focuses on a bespoke mobile application which aims to facilitate the transition of Foundation students to Higher Education in an Irish setting. Foundation students comprise of Access and International Students participating on pre-degree foundation courses. These students experience a major life change in making this transition and it is important that efforts are made to ensure a successful adjustment experience. Research suggests that mobile technologies can play a …

Design And Simulation Of A Pneumatic Actuator Bending Soft Robotics Based On 3d Printing, Chenyu Zheng

Theses, Dissertations and Capstones

Robots mechatronic devices are able to replicate human actions, especially in dangerous environments and in manufacturing. Recently, the development of robotics has been inspired by bionics. The advanced robotics allow advanced robots to be used in new environments where they were not traditionally applicable, such as narrow and small spaces. Compared to traditional rigid robots, soft robots are made by deformable materials and possess high dexterity and adaptivity in harsh working environments. Traditional soft robots are made by casting. The method implies that the molds of soft robots should be designed and printed by a 3D printer first, before casting. …

Implementation Of Unmanned Aerial Vehicles Reporting Plume Cloud Concentration Values In A 3d Simulation Environment, Emily Catherine Novak

Browse all Theses and Dissertations

Unmanned aerial vehicles, or UAVs, have the potential to vastly improve plume cloud tracking at low cost. Plume clouds can be produced from blast mining, chemical warfare, unintended man-made disasters, and natural causes. This thesis provides implementation of the capability to simulate a 3D environment in which UAVs are individually controlled and each report a plume's concentration value at a specific location. It leverages existing industry standard technologies, including the PX4 autopilot system, the Gazebo simulation environment, the Robot Operating System (ROS), and QGroundControl. The provided system integrates the existing tools with a plume model plug-in that provides simulated plume …

Threats And Mitigation Of Ddos Cyberattacks Against The U.S. Power Grid Via Ev Charging, Glenn Sean Morrison

Browse all Theses and Dissertations

Cars are an ever changing and integral part of modern society. Two of the biggest changes in vehicles today are their heavy integration with wireless communication and the push toward battery powered Electric Vehicles (EV). EV and EV charging stations have become a part of the Internet of Things (IoT). While this connectedness increases the convenience and functionality of the vehicles and charging stations, it also opens them up to a wide range of cyber threats. This thesis examines the potential threats against the EV charging ecosystem through a historical analysis of past cyberattacks and identified vulnerabilities. As EV charging …

Malware Analysis Skills Taught In University Courses, Swetha Gorugantu

Browse all Theses and Dissertations

Career opportunities for malware analysts are growing at a fast pace due to the evolving nature of cyber threats as well as the necessity to counter them. However, employers are often unable to hire analysts fast though due to a lack of the required skillset. Hence, the primary purpose of the thesis is to conduct a gap analysis between the binary analysis skills taught in universities with those that the recruiters are looking for. Malware can be analyzed using three main types of tools and techniques: high-level profiling, static analysis, and dynamic analysis. These methods provide detailed information about the …

Spoilage Detection In Raspberry Fruit Based On Spectral Imaging Using Convolutional Neural Networks, Karthik Kuchangi Jothi Prakash

Dissertations

Effective spoilage detection of perishable food items like fruits and vegetables is essential for retailers who stock and sell large quantities of these items. This research is aimed at developing a non-destructive, rapid and accurate method which is based on Spectral Imaging (SI) used in tandem with Convolutional Neural Network (CNN) to predict whether the fruit is fresh or rotten. The study also aims to determine the number of days before which the fruit rots. This research employs a primary, quantitative and inductive methods to investigate the Deep Learning based approach to detect fruit spoilage. Raspberry fruit in particular has …

A Comparison Of Real Time Stream Processing Frameworks, Jonathan Curtis

Dissertations

The need to process the ever-expanding volumes of information being generated daily in the modern world is driving radical changes in traditional data analysis techniques. As a result of this, a number of open source tools for handling real-time data streams has become available in recent years. Four, in particular, have gained significant traction: Apache Flink, Apache Samza, Apache Spark and Apache Storm. Despite the rising popularity of these frameworks, however, there are few studies that analyse their performance in terms of important metrics, such as throughput and latency. This study aims to correct this, by running several benchmarks against …

Vertical Stress And Stability Of Interburden Over An Abandoned Pillar Working Before Upward Mining: A Case Study, Jinwen Bai, Guorui Feng, Shanyong Wang, Tingye Qi, Jian Yang, Jun Guo, Zhen Li, Xianjie Du, Zehua Wang, Yunlou Du, Yujiang Zhang

Faculty & Staff Scholarship

Upward mining of the residual coal seam over an abandoned pillar working is one of the effective measures to alleviate the contradiction between limited resources and increased consumption. Interburden stability over an abandoned pillar working plays a significant role in guaranteeing the safety of upward mining; however, it has not yet been extensively studied and understood. In this study, the vertical stress of the interburden over an abandoned pillar working was first investigated. The mechanical model of the interburden was established and the damage conditions were analysed. Then, the stability of the interburden over 38502 abandoned workings in Baijiazhuang coal …

Multi-Scale And Multi-Modal Streaming Data Aggregation And Processing For Decision Support During Natural Disasters, Shruti Kar

Browse all Theses and Dissertations

With the surge in digital information systems, there is a data deluge from various sources that can be analyzed and integrated to produce relevant, reliable and actionable information, for better decision making. We employ multi-modal data (i.e., unstructured text, gazetteers, and imagery) for an aggregate level analysis and location-centric demand/request matching in the context of disaster relief. After classifying the Need expressed in a tweet (the WHAT), we leverage OpenStreetMap to geolocate that Need on a computationally accessible map of the local terrain (the WHERE) populated with location features such as hospitals and housing. Further, our novel use of flood …

Development Of An Ios App For Learning Intonation Of Wind Instruments, Swathi Pamidi

Browse all Theses and Dissertations

Learning music instrument is a challenging task for a beginner without constant guidance from an instructor. The primary objective of this thesis research is to design and develop an iOS mobile / iPad learning app that helps users to learn and practice intonation for a suite of wind instruments by themselves with comfort and ease through app-provided tuning and charting guidance and app-assisted self-assessment. Particularly, our successfully-implemented app provides the following features to enhance the user's learning experience: 1 ) Provides learners easy-to-access information for the fingering and tuning techniques of wind instruments by converting Dr. Shelley Jagow's book - …

Hurricane Evacuation Modeling Using Behavior Models And Scenario-Driven Agent-Based Simulations, Yuan Zhu, Kun Xie, Kaan Ozbay, Hong Yang

Computational Modeling & Simulation Engineering Faculty Publications

Transportation modeling and simulation play an important role in the planning and management of emergency evacuation. It is often indispensable for the preparedness and timely response to extreme events occurring in highly populated areas. Reliable and robust agent-based evacuation models are of great importance to support evacuation decision making. Nevertheless, these models rely on numerous hypothetical causal relationships between the evacuation behavior and a variety of factors including socio-economic characteristics and storm intensity. Understanding the impacts of these factors on evacuation behaviors (e.g., destination and route choices) is crucial in preparing optimal evacuation plans. This paper aims to contribute to …

Comparing The Effectiveness Of Different Classification Techniques In Predicting Dns Tunnels, Patrick Walsh

Dissertations

DNS is one of the most widely used protocols on the internet and is used in the translation of domain names into IP address in order to correctly route messages between computers. It presents an attractive attack vector for criminals as the service is not as closely monitored by security experts as other protocols such as HTTP or FTP. Its use as a covert means of communication has increased with the availability of tools that allow for the creation of DNS tunnels using the protocol. One of the primary motivations for using DNS tunnels is the illegal extraction of information …

Studying Facial Expression Recognition And Imitation Ability Of Children With Autism Spectrum Disorder In Interaction With A Social Robot, Farzaneh Askari

Electronic Theses and Dissertations

Children with Autism Spectrum Disorder (ASD) experience limited abilities in recognizing non-verbal elements of social interactions such as facial expressions [1]. They also show deficiencies in imitating facial expressions in social situations. In this Master thesis, we focus on studying the ability of children with ASD in recognizing facial expressions and imitating the expressions using a rear-projected expressive humanoid robot, called Ryan. Recent studies show that social robots such as Ryan have great potential for autism therapy. We designed and developed three studies, first to evaluate the ability of children with ASD in recognizing facial expressions that are presented to …

Developing An Affect-Aware Rear-Projected Robotic Agent, Ali Mollahosseini

Electronic Theses and Dissertations

Social (or Sociable) robots are designed to interact with people in a natural and interpersonal manner. They are becoming an integrated part of our daily lives and have achieved positive outcomes in several applications such as education, health care, quality of life, entertainment, etc. Despite significant progress towards the development of realistic social robotic agents, a number of problems remain to be solved. First, current social robots either lack enough ability to have deep social interaction with human, or they are very expensive to build and maintain. Second, current social robots have yet to reach the full emotional and social …

Force-Canceling Mixer Algorithm For Vehicles With Fully-Articulated Radially Symmetric Thruster Arrays, Joseph Nicholas Casabona

Electronic Theses and Dissertations

A new type of fully-holonomic aerial vehicle is identified and developed that can optionally utilize automatic cancellation of excessive thruster forces to maintain precise control despite little or no throttle authority. After defining the physical attributes of the new vehicle, a flight control mixer algorithm is defined and presented. This mixer is an input/output abstraction that grants a flight control system (or pilot) full authority of the vehicle's position and orientation by means of an input translation vector and input torque vector. The mixer is shown to be general with respect to the number of thrusters in the system provided …

Providing Protection To Programmers' Works: Disregard The Merger Doctrine And Adopt The Application Approach, Akshay Jain

Catholic University Journal of Law and Technology

In today’s technological landscape, computer programs are one of the most highly complex and popular inventions. However, they still receive little or sometimes no legal protection. As a consequence, programmers are reluctant to create new programs, discouraging innovation and preventing the public to benefit from using these inventions. If the court does afford them copyright protection, they may still not receive legal damages for copyright infringement because the court would not consider their program registered under the Copyright Act of 1976.

This Comment argues for greater copyright protection for programs by disregarding the merger doctrine, which does not provide protection …

Recommender Systems For Large-Scale Social Networks: A Review Of Challenges And Solutions, Magdalini Eirinaki, Jerry Gao, Iraklis Varlamis, Konstantinos Tserpes

Faculty Publications

Social networks have become very important for networking, communications, and content sharing. Social networking applications generate a huge amount of data on a daily basis and social networks constitute a growing field of research, because of the heterogeneity of data and structures formed in them, and their size and dynamics. When this wealth of data is leveraged by recommender systems, the resulting coupling can help address interesting problems related to social engagement, member recruitment, and friend recommendations.In this work we review the various facets of large-scale social recommender systems, summarizing the challenges and interesting problems and discussing some of the …

Adapt At Semeval-2018 Task 9: Skip-Gram Word Embeddings For Unsupervised Hypernym Discovery In Specialised Corpora, Alfredo Maldonado, Filip Klubicka

Other resources

This paper describes a simple but competitive unsupervised system for hypernym discovery. The system uses skip-gram word embeddings with negative sampling, trained on specialised corpora. Candidate hypernyms for an input word are predicted based on cosine similar- ity scores. Two sets of word embedding mod- els were trained separately on two specialised corpora: a medical corpus and a music indus- try corpus. Our system scored highest in the medical domain among the competing unsu- pervised systems but performed poorly on the music industry domain. Our approach does not depend on any external data other than raw specialised corpora.

Content-Based Clustering And Visualization Of Social Media Text Messages, Sydney A. Barnard

Browse all Theses and Dissertations

Although Twitter has been around for more than ten years, crisis management agencies and first response personnel are not able to fully use the information this type of data provides during a crisis or natural disaster. This thesis addresses clustering and visualizing social media data by textual similarity, rather than by only time and location, as a tool for first responders. This thesis presents a tool that automatically clusters geotagged text data based on their content and displays the clusters and their locations on the map. It allows at-a-glance information to be displayed throughout the evolution of a crisis. For …

A Data-Driven Approach For Detecting Autism Spectrum Disorders, Manika Kapoor, David Anastasiu

Faculty Publications

No abstract provided.