A Unified Approach To Route Planning For Shared Mobility,
2018
Singapore Management University
A Unified Approach To Route Planning For Shared Mobility, Yongxin Tong, Yuxiang Zeng, Zimu Zhou, Lei Chen, Jieping Ye, Ke Xu
Research Collection School Of Computing and Information Systems
There has been a dramatic growth of shared mobility applications such as ride-sharing, food delivery and crowdsourced parcel delivery. Shared mobility refers to transportation services that are shared among users, where a central issue is route planning. Given a set of workers and requests, route planning finds for each worker a route, i.e., a sequence of locations to pick up and drop off passengers/parcels that arrive from time to time, with different optimization objectives. Previous studies lack practicability due to their conflicted objectives and inefficiency in inserting a new request into a route, a basic operation called insertion. In this …
Identification And Optimal Linear Tracking Control Of Odu Autonomous Surface Vehicle,
2018
Old Dominion University
Identification And Optimal Linear Tracking Control Of Odu Autonomous Surface Vehicle, Nadeem Khan
Mechanical & Aerospace Engineering Theses & Dissertations
Autonomous surface vehicles (ASVs) are being used for diverse applications of civilian and military importance such as: military reconnaissance, sea patrol, bathymetry, environmental monitoring, and oceanographic research. Currently, these unmanned tasks can accurately be accomplished by ASVs due to recent advancements in computing, sensing, and actuating systems. For this reason, researchers around the world have been taking interest in ASVs for the last decade. Due to the ever-changing surface of water and stochastic disturbances such as wind and tidal currents that greatly affect the path-following ability of ASVs, identification of an accurate model of inherently nonlinear and stochastic ASV system …
Human-Centered Design Of A 3d-Augmented Strategic Weather Management System For The Aviation Community,
2018
Florida Institute of Technology
Human-Centered Design Of A 3d-Augmented Strategic Weather Management System For The Aviation Community, Sébastien Léonce Paul Boulnois
Theses and Dissertations
Convective weather is one of the main causes of accidents in the National Airspace System according to the Federal Aviation Administration. The purpose of this research, aligned with current NextGen research efforts, was to determine how weather information, presented in 2D and/or 3D, and associated with interaction features, could impact airline pilots’ weather-related situation awareness and decision-making capabilities. Human-Centered Design principles, along with Design Thinking, were used and led to the design of a 3D-Augmented Strategic Weather Management System aiming to satisfy this research question. The system is called “Onboard Weather Situation Awareness System” (OWSAS) in the scope of this …
Improving Stb Devices’ Parental Control,
2018
Florida Institute of Technology
Improving Stb Devices’ Parental Control, Mahmood Fawzi Alfathe
Theses and Dissertations
In this dissertation, an IPTV system was designed with new viewer parental control authentication method. People deal with traditional IPTV systems that use simple authentication numeric passcodes, and this topic did not receive the attention to overcome its security problems. In this dissertation two contributions were introduced, the first one is to design and implement an IPTV system that uses humans’ Biometrics authentication instead of numeric passwords; the second contribution was presented by integrating and testing the efficiency of the suggested solution as an authentication key against traditional numerical passcodes. Also, the characteristics of this new method were tested. In …
Inference Framework For Model Update And Development,
2018
University of South Carolina
Inference Framework For Model Update And Development, Xiao Lin
Theses and Dissertations
Computational models play an important role in scientific discovery and engineering design. However, developing computational models is challenging, since the process always follows a path contaminated with errors and uncertainties. The uncertainties and errors inherent in computational models are the result of many factors, including experimental uncertainties, model structure inadequacies, uncertainties in model parameters and initial conditions, as well as errors due to numerical discretizations. To realize the full potential in applications it is critical to systematically and economically reduce the uncertainties inherent in all computational models.
Smart Vertical Farm System (Svfs),
2018
Chulalongkom University
Smart Vertical Farm System (Svfs), Sarasit Sirawattanakul
The International Student Science Fair 2018
The unremitting trends of increasing population, urbanization, diminishing water supply, and continuing climate change have contributed to declining stocks of arable land per person. Land available for farming is shrinking, and the demand for food is growing. All of these lead to food insecurity. For the first version of Smart Vertical Farm System is designed to increase food productions by an automatic system. It built with shelves which support soil and hydroponic system, stacked vertically. The system first shovels the soil in the tray and sews the seeds. There is also additional watering system. The hydroponic parts are on the …
Capital Letter Pattern Recognition In Text To Speechby Way Of Perceptron Algorithm,
2018
AMIK Multi Data Palembang, Indonesia
Capital Letter Pattern Recognition In Text To Speechby Way Of Perceptron Algorithm, Novan Wijaya
Knowledge Engineering and Data Science
Computer vision is a data transformation retrieved or generated from webcam into another form in means of determining decision. All kinds of transformations are carried through to attain specific aims. One of the supporting techniques in implementing computer vision on a system is digital image processing as the objective of digital image processing is to transform digital-formatted picture so that it can be processed in computer. Computer vision and digital image processing can be implemented in a system of capital letter introduction and real-time handwriting reading on a whiteboard supported by artificial neural network mode “perceptron algorithm” used as a …
Network Traffic Time Series Performance Analysisusing Statistical Methods,
2018
Universitas Muslim Indonesia, Indonesia
Network Traffic Time Series Performance Analysisusing Statistical Methods, Purnawansyah Purnawansyah, Haviluddin Haviluddin, Rayner Alfred, Achmad Fanany Onnlita Gaffar
Knowledge Engineering and Data Science
This paper presents an approach for a network traffic characterization by using statistical techniques. These techniques are obtained using the decomposition, winter’s exponential smoothing and autoregressive integrated moving average (ARIMA). In this paper, decomposition and winter’s exponential smoothing techniques were used additive and multiplicative model. Then, ARIMA based-on Box-Jenkins methodology. The results of ARIMA (1,0,2) was shown the best model that can be used to the internet network traffic forecasting
Decision Support System Determination Of Main Work Unitin Wpp-711 Using Fuzzy Topsis,
2018
Universitas Islam Madura, Indonesia
Decision Support System Determination Of Main Work Unitin Wpp-711 Using Fuzzy Topsis, Hozairi Hozairi, Yaser Krisnafi
Knowledge Engineering and Data Science
Decision-making to determine the working units for being prioritized to be developed in order to improve fishery monitoring in WPP-711 is imperative. The Ministry of Maritime Affairs and Fisheries should make no mismatch decision-making through long-term calculation and analysis. The problem of determining the priority of working units is a complex problem, thus it is required to find an appropriate method to avoid a mismatch decision. Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is a decision-making method capable of solving multi-criteria problems. TOPSIS working principle determines the alternative by considering the shortest distance from the positive …
Market Basket Analysis To Identify Customer Behaviorsby Way Of Transaction Data,
2018
Maulana Malik Ibrahim State Islamic University, Indonesia
Market Basket Analysis To Identify Customer Behaviorsby Way Of Transaction Data, Fachrul Kurniawan, Binti Umayah, Jihad Hammad, Supeno Mardi Susiki Nugroho, Mochammad Hariadi
Knowledge Engineering and Data Science
Transaction data is a set of recording data result in connections with sales-purchase activities at a particular company. In these recent years, transaction data have been prevalently used as research objects in means of discovering new information. One of the possible attempts is to design an application that can be used to analyze the existing transaction data. That application has the quality of market basket analysis. In addition, the application is designed to be desktop-based whose components are able to process as well as re-log the existing transaction data. The used method in designing this application is by way of …
Sql Logic Error Detection Using Start End Mid Algorithm,
2018
State University of Malang, Indonesia
Sql Logic Error Detection Using Start End Mid Algorithm, Jevri Tri Ardiansyah, Aji Prasetya Wibawa, Triyanna Widiyaningtyas, Okazaki Yasuhisa
Knowledge Engineering and Data Science
Database is an important part of a system and it stores data to be manipulated. SQL (Structured Query Language) is used for manipulating those data to extract information and make decision. There are two types of error which make SQL is challenging to learn, namely syntax error and logic error. Compiler can detect syntax error, but it does not show error warning while logical error occurred. It makes logic error more difficult to understand than syntax error. A web based SQL compiler with errors detection ability by using Start End Mid algorithm is then developed, To help database's user to …
Multiple-Change-Point Modeling And Exact Bayesian Inference Of Degradation Signal For Prognostic Improvement,
2018
Chapman University
Multiple-Change-Point Modeling And Exact Bayesian Inference Of Degradation Signal For Prognostic Improvement, Yuxin Wen, Jianguo Wu, Qiang Matthew Zhou, Tzu-Liang Bill Tseng
Engineering Faculty Articles and Research
Prognostics play an increasingly important role in modern engineering systems for smart maintenance decision-making. In parametric regression-based approaches, the parametric models are often too rigid to model degradation signals in many applications. In this paper, we propose a Bayesian multiple-change-point (CP) modeling framework to better capture the degradation path and improve the prognostics. At the offline modeling stage, a novel stochastic process is proposed to model the joint prior of CPs and positions. All hyperparameters are estimated through an empirical two-stage process. At the online monitoring and remaining useful life (RUL) prediction stage, a recursive updating algorithm is developed to …
Heuristics For Client Assignment And Load Balancing Problems In Online Games,
2018
Louisiana State University and Agricultural and Mechanical College
Heuristics For Client Assignment And Load Balancing Problems In Online Games, Shawn Michael Farlow
LSU Doctoral Dissertations
Massively multiplayer online games (MMOGs) have been very popular over the past decade. The infrastructure necessary to support a large number of players simultaneously playing these games raises interesting problems to solve. Since the computations involved in solving those problems need to be done while the game is being played, they should not be so expensive that they cause any noticeable slowdown, as this would lead to a poor player perception of the game. Many of the problems in MMOGs are NP-Hard or NP-Complete, therefore we must develop heuristics for those problems without negatively affecting the player experience as a …
Data Defenders,
2018
Cedarville University
Channel Camouflage And Manipulation Techniques In Wireless Networks,
2018
University of South Florida
Channel Camouflage And Manipulation Techniques In Wireless Networks, Song Fang
USF Tampa Graduate Theses and Dissertations
The security of wireless networks and systems is becoming increasingly important as wireless devices are more and more ubiquitous nowadays. The wireless channel exhibits the spatial uncorrelation property, which is that the characteristics of a wireless channel become uncorrelated every half carrier wavelength over distance. This property has prompted an emerging research area that utilizes wireless channel characteristics to achieve location distinction, to detect location changes or facilitate authentication of wireless users, and to establish shared secret key between legitimate communicators. This dissertation includes two work toward the security improvement of existing wireless networks and systems. With the discovered channel …
Energy Measurement And Profiling Of Internet Of Things Devices,
2018
Santa Clara University
Energy Measurement And Profiling Of Internet Of Things Devices, Immanuel Amirtharaj
Computer Science and Engineering Master's Theses
As technological improvements in hardware and software have grown in leaps and bounds, the presence of IoT devices has been increasing at a fast rate. Profiling and minimizing energy consumption on these devices remains to be an an essential step towards employing them in various application domains. Due to the large size and high cost of commercial energy measurement platforms, the research community has proposed alternative solutions that aim to be simple, accurate, and user friendly. However, these solutions are either costly, have a limited measurement range, or low accuracy. In addition, minimizing energy consumption in IoT devices is paramount …
Sr Flip-Flop Based Physically Unclonable Function (Puf) For Hardware Security,
2018
University of South Florida
Sr Flip-Flop Based Physically Unclonable Function (Puf) For Hardware Security, Rohith Prasad Challa
USF Tampa Graduate Theses and Dissertations
Physically Unclonable Functions (PUFs) are now widely being used to uniquely identify Integrated Circuits (ICs). In this work, we propose a novel Set-Reset (SR) Flip-flop based PUF design. For a NAND gate based SR flip-flop, the input condition S (Set) = 1 and R (Reset) = 1 must be avoided as it is an inconsistent condition. When S=R=1 is applied followed by S=R=0, then the outputs Q and Q' undergo race condition and depending on the delays of the NAND gates in the feedback path, the output Q can settle at either 0 or 1. Because of process variations in …
Smart Vertical Farm System (Svfs),
2018
Chulalongkorn University Demonstration Secondary School
Smart Vertical Farm System (Svfs), Sarasit Sirawattanakul
The International Student Science Fair 2018
The unremitting trends of increasing population, urbanization, diminishing water supply, and continuing climate change have contributed to declining stocks of arable land per person. Land available for farming is shrinking, and the demand for food is growing. All of these lead to food insecurity. For the first version of Smart Vertical Farm System is designed to increase food productions by an automatic system. It built with shelves which support soil and hydroponic system, stacked vertically. The system first shovels the soil in the tray and sews the seeds. There is also additional watering system. The hydroponic parts are on the …
A Study Of Scalability And Cost-Effectiveness Of Large-Scale Scientific Applications Over Heterogeneous Computing Environment,
2018
Louisiana State University and Agricultural and Mechanical College
A Study Of Scalability And Cost-Effectiveness Of Large-Scale Scientific Applications Over Heterogeneous Computing Environment, Arghya K. Das
LSU Doctoral Dissertations
Recent advances in large-scale experimental facilities ushered in an era of data-driven science. These large-scale data increase the opportunity to answer many fundamental questions in basic science. However, these data pose new challenges to the scientific community in terms of their optimal processing and transfer. Consequently, scientists are in dire need of robust high performance computing (HPC) solutions that can scale with terabytes of data.
In this thesis, I address the challenges in three major aspects of scientific big data processing as follows: 1) Developing scalable software and algorithms for data- and compute-intensive scientific applications. 2) Proposing new cluster architectures …
Investigating On Through Glass Via Based Rf Passives For 3-D Integration,
2018
Ningbo University
Investigating On Through Glass Via Based Rf Passives For 3-D Integration, Libo Qian, Jifei Sang, Yinshui Xia, Jian Wang, Peiyi Zhao
Mathematics, Physics, and Computer Science Faculty Articles and Research
Due to low dielectric loss and low cost, glass is developed as a promising material for advanced interposers in 2.5-D and 3-D integration. In this paper, through glass vias (TGVs) are used to implement inductors for minimal footprint and large quality factor. Based on the proposed physical structure, the impact of various process and design parameters on the electrical characteristics of TGV inductors is investigated with 3-D electromagnetic simulator HFSS. It is observed that TGV inductors have identical inductance and larger quality factor in comparison with their through silicon via counterparts. Using TGV inductors and parallel plate capacitors, a compact …
