Grasp Synthesis For Purposeful Fracturing Of Object,
2018
Amazon
Grasp Synthesis For Purposeful Fracturing Of Object, Mahyar Abdeetedal, Mehrdad Kermani Ph.D., P.Eng.
Electrical and Computer Engineering Publications
No abstract provided.
The Use Of Recommender Systems In Web Applications – The Troi Case,
2018
University for Business and Technology - UBT
The Use Of Recommender Systems In Web Applications – The Troi Case, Donjeta Mulaj
Theses and Dissertations
Avoiding digital marketing, surveys, reviews and online users behavior approaches on digital age are the key elements for a powerful businesses to fail, there are some systems that should preceded some artificial intelligence techniques. In this direction, the use of data mining for recommending relevant items as a new state of the art technique is increasing user satisfaction as well as the business revenues. And other related information gathering approaches in order to our systems thing and acts like humans. To do so there is a Recommender System that will be elaborated in this thesis. How people interact, how to …
Performanca E Makinave Kerkuese Duke Perdorur Cloud Shërbimet “Elasticsearch” Dhe “Algolia”,
2018
University for Business and Technology
Performanca E Makinave Kerkuese Duke Perdorur Cloud Shërbimet “Elasticsearch” Dhe “Algolia”, Besnik Korça
Theses and Dissertations
Ueb Aplikacionet me data-set të mëdha në kohën e tanishme janë shumë më të përhapura. Kërkimet e të dhënave në data-set të tilla për shkak të performances bëhen duke përdorur makinat kërkuese. Provider të ndryshëm ofrojnë makina kërkuese si Software as a Service(SaaS) shërbime të cilat kanë për avantazh konfigurimin minimal që duhet bërë makinave kërkuese për t’i vënë në funksion. Nëpërmjet këtij punimi synohet që së pari të analizohen shërbimet cloud computing që ofrohen nga provider të ndryshem. Pastaj pasi që fokusi i makinave kërkuese ndodhet në “information retrieval” është bë analizimi i disa teknikave të “information retrieval”. Makinat …
Understanding Transit System Performance Using Avl-Apc Data: An Analytics Platform With Case Studies For The Pittsburgh Region,
2018
Carnegie Mellon University
Understanding Transit System Performance Using Avl-Apc Data: An Analytics Platform With Case Studies For The Pittsburgh Region, Xidong Pi, Mark Egge, Jackson Whitmore, Amy Silbermann, Zhen Sean Qian
Journal of Public Transportation
This paper introduces a novel transit data analytics platform for public transit planning, assessing service quality and revealing service problems in high spatiotemporal resolution for public transit systems based on Automatic Passenger Counting (APC) and Automatic Vehicle Location (AVL) technologies. The platform offers a systematic way for users and decision makers to understand system performance from many aspects of service quality, including passenger waiting time, stop-skipping frequency, bus bunching level, bus travel time, on-time performance, and bus fullness. The AVL-APC data from September 2012 to March 2016 were archived in a database to support the development of a user-friendly web …
Analysis Of Bulk Power System Resilience Using Vulnerability Graph,
2018
Old Dominion University
Analysis Of Bulk Power System Resilience Using Vulnerability Graph, Md Ariful Haque
Computational Modeling & Simulation Engineering Theses & Dissertations
Critical infrastructure such as a Bulk Power System (BPS) should have some quantifiable measure of resiliency and definite rule-sets to achieve a certain resilience value. Industrial Control System (ICS) and Supervisory Control and Data Acquisition (SCADA) networks are integral parts of BPS. BPS or ICS are themselves not vulnerable because of their proprietary technology, but when the control network and the corporate network need to have communications for performance measurements and reporting, the ICS or BPS become vulnerable to cyber-attacks. Thus, a systematic way of quantifying resiliency and identifying crucial nodes in the network is critical for addressing the cyber …
Hierarchical Bayesian Data Fusion Using Autoencoders,
2018
Marquette University
Hierarchical Bayesian Data Fusion Using Autoencoders, Yevgeniy Vladimirovich Reznichenko
Master's Theses (2009 -)
In this thesis, a novel method for tracker fusion is proposed and evaluated for vision-based tracking. This work combines three distinct popular techniques into a recursive Bayesian estimation algorithm. First, semi supervised learning approaches are used to partition data and to train a deep neural network that is capable of capturing normal visual tracking operation and is able to detect anomalous data. We compare various methods by examining their respective receiver operating conditions (ROC) curves, which represent the trade off between specificity and sensitivity for various detection threshold levels. Next, we incorporate the trained neural networks into an existing data …
Towards Domain-Specific Modeling Methodology For Avionic Safety-Critical Systems,
2018
University of North Dakota
Towards Domain-Specific Modeling Methodology For Avionic Safety-Critical Systems, Emanuel S. Grant
Computer Science Faculty Publications
The use of domain-specific modeling languages and associated methodologies, provide support in application domain where the safe and reliable operations of the systems are of paramount importance to the users and organizations, and wherein the domains are well understood and documented. One such area of domain-specific modeling application is in the field of avionic systems. For software systems to be used onboard aircrafts they must be certified, and as such certification protocols have been established for developing these safety-critical systems. These established protocols are usually represented as textual documents and inherently are difficult to apply directly in software development environments. …
Surgical And Medical Applications Of Drones: A Comprehensive Review,
2018
Embry-Riddle Aeronautical University
Surgical And Medical Applications Of Drones: A Comprehensive Review, Brent Terwilliger, James C. Rosser Jr., Vudatha Vignesh, Brett C. Parker
Publications
Drones have the ability to gather real time data cost effectively, to deliver payloads and have initiated the rapid evolution of many industrial, commercial, and recreational applications. Unfortunately, there has been a slower expansion in the field of medicine. This article provides a comprehensive review of current and future drone applications in medicine, in hopes of empowering and inspiring more aggressive investigation.
Experience Constructing The Artifact Genome Project (Agp): Managing The Domain's Knowledge One Artifact At A Time,
2018
University of New Haven
Experience Constructing The Artifact Genome Project (Agp): Managing The Domain's Knowledge One Artifact At A Time, Cinthya Grajeda, Laura Sanchez, Ibrahim Baggili, Devon R. Clark, Frank Breitinger
Electrical & Computer Engineering and Computer Science Faculty Publications
While various tools have been created to assist the digital forensics community with acquiring, processing, and organizing evidence and indicating the existence of artifacts, very few attempts have been made to establish a centralized system for archiving artifacts. The Artifact Genome Project (AGP) has aimed to create the largest vetted and freely available digital forensics repository for Curated Forensic Artifacts (CuFAs). This paper details the experience of building, implementing, and maintaining such a system by sharing design decisions, lessons learned, and future work. We also discuss the impact of AGP in both the professional and academic realms of digital forensics. …
Exploring Offline Friendships On The Social Information Network: Network Characteristics, Information Diffusion, And Tie Strength,
2018
Singapore Management University
Exploring Offline Friendships On The Social Information Network: Network Characteristics, Information Diffusion, And Tie Strength, Felicia Natali
Dissertations and Theses Collection (Open Access)
The rapid increase in online social networking services over the last decade has pre- sented an unprecedented opportunity to observe users’ behaviour both on a societal and individual level. The insight gained from analysing such data can help foster a deeper understanding of social media users and the flow of information, while also offering valuable business applications. User relationships are among the most studied aspects of online behaviour. These relationships are not homogeneous. Past research has shown that people use social networks to both socialize and source in- formation. Hence, different types of links – used to socialize, gain information, …
Performance Comparison Of Support Vector Machine, Random Forest, And Extreme Learning Machine For Intrusion Detection,
2018
King Abdulaziz University, Saudi Arabia
Performance Comparison Of Support Vector Machine, Random Forest, And Extreme Learning Machine For Intrusion Detection, Iftikhar Ahmad, Muhammad Javed Iqbal, Mohammad Basheri, Aneel Rahim
Articles
Intrusion detection is a fundamental part of security tools, such as adaptive security appliances, intrusion detection systems, intrusion prevention systems, and firewalls. Various intrusion detection techniques are used, but their performance is an issue. Intrusion detection performance depends on accuracy, which needs to improve to decrease false alarms and to increase the detection rate. To resolve concerns on performance, multilayer perceptron, support vector machine (SVM), and other techniques have been used in recent work. Such techniques indicate limitations and are not efficient for use in large data sets, such as system and network data. The intrusion detection system is used …
Search Methods For Mobile Manipulator Performance Measurement,
2018
Marquette University
Search Methods For Mobile Manipulator Performance Measurement, Samuel Nana Yaw Amoako-Frimpong
Master's Theses (2009 -)
Mobile manipulators are a potential solution to the increasing need for additional flexibility and mobility in industrial robotics applications. However, they tend to lack the accuracy and precision achieved by fixed manipulators, especially in scenarios where both the manipulator and the autonomous vehicle move simultaneously. This thesis analyzes the problem of dynamically evaluating the positioning error of mobile manipulators. In particular, it investigates the use of Bayesian methods to predict the position of the end-effector in the presence of uncertainty propagated from the mobile platform. Simulations and real-world experiments are carried out to test the proposed method against a deterministic …
Compositional Reasoning For Shared-Variable Concurrent Programs,
2018
Singapore Management University
Compositional Reasoning For Shared-Variable Concurrent Programs, Fuyuan Zhang, Yongwang Zhao, David Sanan, Yang Liu, Alwen Tiu, Shang-Wei Lin, Jun Sun
Research Collection School Of Computing and Information Systems
Scalable and automatic formal verification for concurrent systems is always demanding. In this paper, we propose a verification framework to support automated compositional reasoning for concurrent programs with shared variables. Our framework models concurrent programs as succinct automata and supports the verification of multiple important properties. Safety verification and simulations of succinct automata are parallel compositional, and safety properties of succinct automata are preserved under refinements. We generate succinct automata from infinite state concurrent programs in an automated manner. Furthermore, we propose the first automated approach to checking rely-guarantee based simulations between infinite state concurrent programs. We have prototyped our …
Privacy-Preserving Mining Of Association Rule On Outsourced Cloud Data From Multiple Parties,
2018
Singapore Management University
Privacy-Preserving Mining Of Association Rule On Outsourced Cloud Data From Multiple Parties, Lin Liu, Jinshu Su, Rongmao Chen, Ximeng Liu, Xiaofeng Wang, Shuhui Chen, Ho-Fung Fung Leung
Research Collection School Of Computing and Information Systems
It has been widely recognized as a challenge to carry out data analysis and meanwhile preserve its privacy in the cloud. In this work, we mainly focus on a well-known data analysis approach namely association rule mining. We found that the data privacy in this mining approach have not been well considered so far. To address this problem, we propose a scheme for privacy-preserving association rule mining on outsourced cloud data which are uploaded from multiple parties in a twin-cloud architecture. In particular, we mainly consider the scenario where the data owners and miners have different encryption keys that are …
Characterizing Common And Domain-Specific Package Bugs: A Case Study On Ubuntu,
2018
Singapore Management University
Characterizing Common And Domain-Specific Package Bugs: A Case Study On Ubuntu, Xiaoxue Ren, Qiao Huang, Xin Xia, Zhenchang Xing, Lingfeng Bao, David Lo
Research Collection School Of Computing and Information Systems
Ubuntu is an open source software platform that runs everywhere from the smartphone, the tablet and the PC to the server and the cloud. In Ubuntu, there are many self-contained or third-party software packages for different use, and a bug report in Ubuntu could affect one or more packages simultaneously. Identifying the common package bugs in Ubuntu can help both developers and users better understand the packages they are developing or using, and also provide further guidelines to developers of similar packages in the future. In this paper, we perform a large-scale empirical study of common package bugs on Ubuntu …
Design And Simulation Of An Intelligent Self-Adaptive System For A Smart Home,
2018
Florida Institute of Technology
Design And Simulation Of An Intelligent Self-Adaptive System For A Smart Home, Basman M. Hasan Alhafidh
Theses and Dissertations
Home automation and control systems as basic elements of smart cities have played a key role in the development of our homes environments . They have a wide range of applications in many fields at home such as security and monitoring, healthcare, energy, and entertainment applications. The improvement of humans’ living standards make people keep trying to delegate many of their needs to a home automation system. Such a system has been built with capabilities of predicting what the user intends to do in smart home environment. However, there are many issues that need more investigation and solutions, such as: …
Enginews, July 2018,
2018
Sacred Heart University
Enginews, July 2018, School Of Computer Science & Engineering
News, Magazines and Reports
The Rube Goldberg Machine: The 90 year old concept’s lessons for the engineering student --Solar Power!? Solar Powered Charging comes to Sacred Heart.
Multiuser Coding And Signal Processing In A Low Power Sensor Network,
2018
University of Nebraska-Lincoln
Multiuser Coding And Signal Processing In A Low Power Sensor Network, Dongqi Lai
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Backscatter communication system is a wireless communication system that is used by both academic community and industry circles in recent years. This communication system only requires ultra-low power usage and simple design of the sensors. This project is using backscatter communication system to transmit data with backscatter tags. The method we used is semi-passive backscatter communication. This project focuses on transmitting signals with multiple sensors so there is a problem about distinguishing the signal reflected by different nodes. We modulated the transmitting digital signal with Walsh function to solve the problem of separating the signals between different nodes. By using …
Implementation Of Vision Processing Tasks On A Smart Camera Platform Using Neighborhood Processors,
2018
University of Nebraska-Lincoln
Implementation Of Vision Processing Tasks On A Smart Camera Platform Using Neighborhood Processors, Dingyi Hong
Department of Electrical and Computer Engineering: Dissertations, Theses, and Student Research
Two applications of vision processing on a smart camera platform using neighborhood processors are presented. A smart camera application of real-time trajectory calculation for tracking objects and predicting their path of motion by using a single intelligent camera or a dual camera system are designed, simulated and implemented. Another application of object recognition with a key points algorithm for detecting simple shaped objects and locating the camera position within a 3-D coordinate system via imaging by using artificial neural network is applied to provide quick and accurate processing on a neighborhood-level parallel processor or other limited vision chip. For all …
Soa Maturity Influence On Digital Banking Transformation,
2018
Singapore Management University
Soa Maturity Influence On Digital Banking Transformation, Alan Megargel, Venky Shankararaman, Terence P. C. Fan
Research Collection School Of Computing and Information Systems
Digital Banking is an evolution of online banking, where the banks attempt to further enhance customer experience by integrating digital technologies such as mobile technology, social media and analytics. Traditional banks have the highest barriers to entry into the digital banking market due to the presence of legacy core banking systems. These legacy systems while still high performing and reliable, are inflexible to change and are not easily integrated to the modern application systems needed for delivering digital banking services across multiple online banking channels. One solution that is widely adopted in the industry to overcome this obstacle is the …
