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A Hierarchical Feature Extraction Model For Multi-Label Mechanical Patent Classification, Jie Hu, Shaobo Li, Jianjun Hu, Guanci Yang 2018 University of South Carolina - Columbia

A Hierarchical Feature Extraction Model For Multi-Label Mechanical Patent Classification, Jie Hu, Shaobo Li, Jianjun Hu, Guanci Yang

Faculty Publications

Various studies have focused on feature extraction methods for automatic patent classification in recent years. However, most of these approaches are based on the knowledge from experts in related domains. Here we propose a hierarchical feature extraction model (HFEM) for multi-label mechanical patent classification, which is able to capture both local features of phrases as well as global and temporal semantics. First, a n-gram feature extractor based on convolutional neural networks (CNNs) is designed to extract salient local lexical-level features. Next, a long dependency feature extraction model based on the bidirectional long–short-term memory (BiLSTM) neural network model is proposed to …


A Fast And Robust Extrinsic Calibration For Rgb-D Camera Networks, Po-Chang Su, Ju Shen, Wanxin Xu, Sen-Ching S. Cheung, Ying Luo 2018 University of Kentucky

A Fast And Robust Extrinsic Calibration For Rgb-D Camera Networks, Po-Chang Su, Ju Shen, Wanxin Xu, Sen-Ching S. Cheung, Ying Luo

Electrical and Computer Engineering Faculty Publications

From object tracking to 3D reconstruction, RGB-Depth (RGB-D) camera networks play an increasingly important role in many vision and graphics applications. Practical applications often use sparsely-placed cameras to maximize visibility, while using as few cameras as possible to minimize cost. In general, it is challenging to calibrate sparse camera networks due to the lack of shared scene features across different camera views. In this paper, we propose a novel algorithm that can accurately and rapidly calibrate the geometric relationships across an arbitrary number of RGB-D cameras on a network. Our work has a number of novel features. First, to cope …


Development And Implementation Of Non-Contact Measuring Machine In The Automobile Industry Of Gm Uzbekistan, Fazluddin Khusnuddinov, Jasurkhuja Kholkhujaev 2018 Turin Polytechnic University in Tashkent, Tashkent, Uzbekistan

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 2018 Wichita State University

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 2018 Turin Polytechnic University in Tashkent

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 2018 Turin Polytechnic University in Tashkent

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 2018 Turin Polytechnic University in Tashkent

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 2018 University of New Haven

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 2018 University of Nebraska-Lincoln

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 2018 Department of Computer Science and Engineering Manipal Institute of Technology

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 2018 Stephen F Austin State University

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 2018 Cleveland State University

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 2018 Technological University Dublin

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 2018 Marshall University

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 2018 Wright State University

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 2018 Wright State University

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 2018 Wright State University

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 …


A Comparison Of Real Time Stream Processing Frameworks, Jonathan Curtis 2018 Technological University Dublin, Ireland

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 2018 Taiyuan University of Technology

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 2018 Wright State University

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 …


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