Digital Commons Network^™

Tactical Urbanism Where It Matters Small Scale Interventions In Underserved Communities, Sally Harrison

IntAR Interventions Adaptive Reuse

No abstract provided.

Everybody's House The Rosa Parks House Project, Ryan Mendoza, Fabia Mendoza, Diogo Vale, João José Santos

IntAR Interventions Adaptive Reuse

No abstract provided.

Temporary Acts The Decorators, Kristina Anilane, Luis Sacristan Murga

IntAR Interventions Adaptive Reuse

No abstract provided.

Virtual Viewpoint Synthesis Based On Grid Mapping, Yao Li, Qiongying Wu, Xu Hui

Journal of System Simulation

Abstract: Due to imperfect depth maps, occlusion and the illumination difference between reference images, annoying artifacts, such as holes and ghost edges, appearing in the rendering image by DIBR, holes filling being time-consuming, triangle mesh based on the depth contour and maps mesh triangles with energy constrains were created. Image fusion algorithm merged different viewpoint images and got final virtual viewpoint image. While DIBR warped the image with pixels, triangles were mapped with. Compared with the traditional DIBR, the proposed algorithm has a faster processing speed than the traditional pixel based processing method in the same image quality.

Gpu-Accelerated Cloth Animation Based On Module Division, Kun Zhou, Liu Zhen, Gaoqi He, Chen Tian, Tingting Liu, Cuijuan Liu

Journal of System Simulation

Abstract: In order to improve the simulation speed of cloth animation, a module division parallel computing method was proposed by studying two kinds of cloth simulation models with dynamics and position based dynamics (PBD). A computing task was divided into a plurality of independent blocks by the way of data block. GPU parallel computing was used within the data block to improve the real-time performance and robustness of the cloth simulation. The applicability and effectiveness of the algorithm were verified under different scenarios and stochastic wind field. Experimental results show that under the same conditions, the proposed method can effectively …

Title Medical Image Fusion Based On Multi-Scale Coefficient Decomposition Framework, Kaifeng Wen, Bingjian Li

Journal of System Simulation

Abstract: The main purpose of medical image fusion is to obtain a high resolution image with as much details as possible for diagnosis. Magnetic resonance (MR) and computed tomography (CT) medical images has special sophisticated and complementary characteristics which are required for accurate diagnosis of disease. Based on this, a new medical fusion approach for MR and CT images based on multi-scale coefficient decomposition framework was proposed. The proposed approach used a combination of discrete wavelet and non-subsampled shearlet transforms for the initial multi-scale decompositions firstly. The decomposition multi-scale coefficients were fused twice using various local activity measures. The …

Simulation Of Dongba Art Style Painting, Wenhua Qian, Xu Dan, Xu Jin, He Lei, Zhang Bo

Journal of System Simulation

Abstract: An interactive technique that can generate the Dongba art paintings from 2D images is proposed. A Dongba painting line drawing system is designed and developed which adopts the interactive selection method to obtain the smooth and continuous line drawings. To produce the foreground image of the Dongba styles, a multi-frequency noise integral convolution algorithm is utilized to simulate the block texture color of the Dongba paintings. Texture synthesis algorithm is used to generate the image of large sizes from samples to simulate the background image. Based on the layer-mapping technique and local color transmission methods, the final artistic style …

Real-Time Simulation On Virtual Dressing Based On Virtual Human Body Model, Chuanyu Xue, Hongwei Dong, Mingmin Zhang, Zhigeng Pan

Journal of System Simulation

Abstract: In this paper we put forward a real-time method of virtual dressing using a single Kinect device. Virtual dressing using a low-cost device has very important application, but classic 3D human body dressing algorithms cannot work in real time. We need to generate 3D human body model before virtual dressing using Kinect. In this paper, we use a method which is based on body's basic information to build human body model, and the method is optimized to enhance the local simulation results.This paper presents a tracking ellipsoid modeland applies GPU parallel computing to decrease the amount of calculation …

Progressive Image Denoising Algorithm, Haiyang Li, Weiguo Cao, Shirui Li, Kelu Tao, Li Hua

Journal of System Simulation

Abstract: Currently almost all denoising algorithms are implemented by processing original noisy image itself simply, which could not enhance the performance further by combining original noisy image with the denoised image. To solve the problem, a framework of progressive image denoising method was proposed. The framework is based on the block matching and 3D collaborative filtering (BM3D) algorithm, which has the most remarkable denoising effect. It includes three layers and two fusions. Each layer is implemented by BM3D and denoises the fused image generated from the previous layers. Adequate statistical results show that under the same noise condition, our proposed …

The Reflection Of Effective Interactive Graphic Design, George Nader Naguib Morcos

BAU Journal - Creative Sustainable Development

Graphic design has a rich history as a creative practice, which connects different design elements to build effective message. It combines typography and visual elements like Illustrations or photos to create a visual message, graphic design is considered as an important branch in the modern communication technology. Graphic design nowadays has becoming more advanced and moves from the static phase to the dynamic phase which includes unlimited technologies like virtual reality, 3D motion and interactivity, which becomes one of the important factors that affects the successes of the visual communication or the message that has to be sent via the …

Impact Of Bim On Building Design Quality, Khaled Sadek, Ibtihal El-Bastawissi, Rokia Raslan, Samer Sayary

BAU Journal - Creative Sustainable Development

During last decades, the aim of new technologies was to develop new information systems to automate manual processes. Large-scale projects in the field of construction industry need a different approach to organize and analyze data creating a database without any duplication or redundancy. Building Information Modeling (BIM) is a teamwork process using advanced technologies to generate data modeling. Based on a literature review, the present research proposes a set of hypotheses that links BIM implementation with the enhancement of information sharing capability (ISC) and collaborative decision capability (CDC) in the construction sector of the building industry. Consequently, it relates the …

Ieee Access Special Section Editorial: Green Signal Processing For Wireless Communicationsand Networking, Wen-Long Chin, David Shiung, Yi Qian, Woongsup Lee, Andres Kwasinki, Yansha Deng

Department of Electrical and Computer Engineering: Faculty Publications

No abstract provided.

An Approach To Modeling Simulated Military Human-Agent Teaming, Maartje Hidalgo

Electronic Theses and Dissertations, 2020-2023

With the rise of human-agent teaming (HAT), a new cycle of scientific discovery commenced. Through scientific discovery, a number of theories of constructs in HAT were developed, however, an overarching model is lacking that elucidates the relative importance of these constructs in relation to human performance. The main objective of this research was to develop a model of simulated military HAT and to validate it against selected empirical data. Experimental data borrowed from four simulated military HAT studies were used to test the proposed Core model. The Core model was assumed to be directly affecting task performance and consisted of …

Exploring Faculty And Student Frameworks For Engineering Knowledge Using An Online Card Sorting Platform, Diana A. Chen, Gordon D. Hoople, Nico Ledwith, Eric Burlingame, Seth D. Bush, Gregory E. Scott

School of Engineering: Faculty Scholarship

In this study we investigate how faculty and students think about engineering us-ing a technique new to engineering education: card sorting. In card sorting partic-ipants sort stimuli (cards) into groups, in the process revealing how they catego-rize information. Here we examine how both engineering faculty (n=23) and first-year undergraduate students (n=62) categorize engineering scenarios. We found engineering faculty sort based on cross-disciplinary engineering activities rather than engineering disciplines. This is a surprising result as our educational frameworks are based around disciplines, and yet they are not the primary way in which faculty think. First-year students, on the other hand, showed …

Image Subset Communication For Resource-Constrained Applications In Wirelesssensor Networks, Sajid Nazir, Omar Alzubi, Mohammad Kaleem, Hassan Hamdoun

Turkish Journal of Electrical Engineering and Computer Sciences

JPEG is the most widely used image compression standard for sensing, medical, and security applications. JPEG provides a high degree of compression but field devices relying on battery power must further economize on data transmissions to prolong deployment duration with particular use cases in wireless sensor networks. Transmitting a subset of image data could potentially enhance the battery life of power-constrained devices and also meet the application requirements to identify the objects within an image. Depending on an application's needs, after the first selected subset is received at the base station, further transmissions of the image data for successive refinements …

A New Biometric Identity Recognition System Based On A Combination Of Superior Features In Finger Knuckle Print Images, Hadis Heidari, Abdolah Chalechale

Turkish Journal of Electrical Engineering and Computer Sciences

Biometric methods are among the safest and most secure solutions for identity recognition and verification. One of the biometric features with sufficient uniqueness for identity recognition is the finger knuckle print (FKP). This paper presents a new method of identity recognition and verification based on FKP features, where feature extraction is combined with an entropy-based pattern histogram and a set of statistical texture features. The genetic algorithm (GA) is then used to find the superior features among those extracted. After extracting superior features, a support vector machine-based feedback scheme is used to improve the performance of the biometric system. Two …

Development Of A Supervised Classification Method To Construct 2d Mineral Mapson Backscattered Electron Images, Mahmut Camalan, Mahmut Çavur

Turkish Journal of Electrical Engineering and Computer Sciences

The Mineral Liberation Analyzer (MLA) can be used to obtain mineral maps from backscattered electron (BSE) images of particles. This paper proposes an alternative methodology that includes random forest classification, a prospective machine learning algorithm, to develop mineral maps from BSE images. The results show that the overall accuracy and kappa statistic of the proposed method are 97% and 0.94, respectively, proving that random forest classification is accurate. The accuracy indicators also suggest that the proposed method may be applied to classify minerals with similar appearances under BSE imaging. Meanwhile, random forest predicts fewer middling particles with binary and ternary …

Performance Analysis Of A Fuzzy Disparity Selector For Stereo Matching Of Imagesegments Under Radiometric Variations, Akhil Appu Shetty, Vadakekara Itty George, Chempi Gurudas Nayak, Raviraj Shetty

Turkish Journal of Electrical Engineering and Computer Sciences

Stereo matching algorithms generate disparity maps, which contain the depth information of the environment, from two or more images of a scene taken from different viewpoints. The process of obtaining dense disparity maps is a problem which is still being actively researched. The presence of radiometric differences in the images only further complicates the stereo matching problem. In the present research work, the images are initially split into small patches of pixels, such that pixels in each patch have similar intensities. The authors attempt to study the effect of the parameters, namely, tuning parameter `?? and the number of segments, …

Significance Of Incorporating Weather Technology Training For Ga Pilots To Curb Fatalities, Rajee Olaganathan Dr, Richard G. Ham Dr.

International Journal of Aviation, Aeronautics, and Aerospace

Weather is considered to be the main threat to aviation safety from the early 1900s. Despite advanced technologies available at present, the weather still poses a risk to the ever-growing aviation industry. This research gives an overview of weather-related accidents with special reference to Part 91 operation in the United States from 1982 and 2017 based on the NTSB database. The analysis shows that 14 CFR Part 91 operations experienced more accidents than Part 121 operations, and weather was a cause or a contributing factor in 35 % of fatal general aviation accidents. The study also identified the main weather …

Agile Stage-Gate Management (Asgm) For Physical Products, John J. Salvato, Andre O. Laplume

Michigan Tech Publications, Part 1

We present a qualitative study of Agile Stage-Gate Management (ASGM),: a hybrid new product development methodology that combines Agile and Stage-Gate Management (SGM) approaches for the coordination of new product development. When applied to software projects, Agile is expected to deliver reduced development times, improved resource utilization, and greater financial success. We examine whether ASGM practitioners realize similar outcomes in a sample of global firms developing complex electro-mechanical products (e.g., automobile components, railway propulsion systems, and medical devices). Our grounded theory approach articulates an understanding of ASGM through extensive interviews of experienced professionals. Our thematic analysis supports many expected benefits …

Alone: A Dataset For Toxic Behavior Among Adolescents On Twitter, Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, I. Budak Arpinar

Publications

The convenience of social media has also enabled its misuse, potentially resulting in toxic behavior. Nearly 66% of internet users have observed online harassment, and 41% claim personal experience, with 18% facing severe forms of online harassment. This toxic communication has a significant impact on the well-being of young individuals, affecting mental health and, in some cases, resulting in suicide. These communications exhibit complex linguistic and contextual characteristics, making recognition of such narratives challenging. In this paper, we provide a multimodal dataset of toxic social media interactions between confirmed high school students, called ALONE (AdoLescents ON twittEr), along with descriptive …

Development Of A Modeling Algorithm To Predict Lean Implementation Success, Richard Charles Barclay

Doctoral Dissertations

”Lean has become a common term and goal in organizations throughout the world. The approach of eliminating waste and continuous improvement may seem simple on the surface but can be more complex when it comes to implementation. Some firms implement lean with great success, getting complete organizational buy-in and realizing the efficiencies foundational to lean. Other organizations struggle to implement lean. Never able to get the buy-in or traction needed to really institute the sort of cultural change that is often needed to implement change. It would be beneficial to have a tool that organizations could use to assess their …

Facial Expression Synthesis Using Mals-Based Bilinear Factorization Model, Jiaci Guo, Shuling Dai

Journal of System Simulation

Abstract: Study on the facial expression synthesis is a constructive and creative subject in the field of virtual reality technology. The bilinear model is used for facial expression synthesis by separating the identity factor and the expression factor. The translation procedure in the bilinear model always requires a repetitive computation of matrix inverse operations to reach the identity factor and the expression factor. This computation may be instable when the observation data has the correlation or noisy information. In order to increase the stability of the bilinear model for expression synthesis, the modified iterative least square (MALS) regression is introduced …

International Competition As Stopgap Curriculum: Case Study Of Ryerson Invitational Thrill Design Competition, Kathryn Woodcock

Symposium on Education in Entertainment and Engineering

Students aspiring to careers in the themed entertainment and attractions industry have few formal options to learn and demonstrate skills and knowledge specific to the industry. Students have shown initiative in developing extracurricular activities, and industry has reached out to offer “next generation” programs and internships. It still remains problematic for industry employers to select the best qualified students from a large pool of aspirants and for motivated candidates to stand out as highly qualified for these opportunities. The Ryerson Invitational Thrill Design Competition (RITDC) was developed to address this problem. RITDC provides learning experiences and performance evaluation with not …

Big-Data Talent Analytics In The Public Sector: A Promotion And Firing Model Of Employees At Federal Agencies, Rabih Neouchi

Operations Research and Engineering Management Theses and Dissertations

Talent analytics is a relatively new area of focus to researchers working in analytics and data science. Talent Analytics has the potential to help companies make many informed critical decisions around talent acquisition, promotion and retention. This work investigates data science to predict “shiny star” employees in the U.S. public sector, defined as top-notch performers over the years of a given time span. Its scope falls within talent analytics, also called people analytics, a relatively new research area.

We clean a data set made available by the U.S. Office of Personnel Management (OPM) and present two models to predict the …

Integrating Humanities Into Environmental Engineering Classrooms, Sarah Bauer

Open Educational Resources

In this module, students will be exposed to the broader context of several major components within the area of environmental engineering by integrating humanities into the environmental engineering classroom. This module includes lecture content pertaining to the areas of (1) solid and hazardous waste management and (2) management of air pollution. This module will help provide students with a background of these subject areas by: introducing students to the history of waste management practices and regulations in the United States and exposing students to various major air pollution episodes throughout history and the implications air pollution has on human and …

Exploring Eye Tracking Data On Source Code Via Dual Space Analysis, Li Zhang

School of Computing: Dissertations, Theses, and Student Research

Eye tracking is a frequently used technique to collect data capturing users' strategies and behaviors in processing information. Understanding how programmers navigate through a large number of classes and methods to find bugs is important to educators and practitioners in software engineering. However, the eye tracking data collected on realistic codebases is massive compared to traditional eye tracking data on one static page. The same content may appear in different areas on the screen with users scrolling in an Integrated Development Environment (IDE). Hierarchically structured content and fluid method position compose the two major challenges for visualization. We present a …

Minos: Unsupervised Netflow-Based Detection Of Infected And Attacked Hosts, And Attack Time In Large Networks, Mousume Bhowmick

Boise State University Theses and Dissertations

Monitoring large-scale networks for malicious activities is increasingly challenging: the amount and heterogeneity of traffic hinder the manual definition of IDS signatures and deep packet inspection. In this thesis, we propose MINOS, a novel fully unsupervised approach that generates an anomaly score for each host allowing us to classify with high accuracy each host as either infected (generating malicious activities), attacked (under attack), or clean (without any infection). The generated score of each hour is able to detect the time frame of being attacked for an infected or attacked host without any prior knowledge. MINOS automatically creates a personalized traffic …

Emotion Recognition Using Facial Feature Extraction, Demiyan Smirnov

Theses and Dissertations

Computerized emotion recognition systems can be powerful tools to help solve problems in a wide range of fields including education, healthcare, and marketing. Existing systems use digital images or live video to track facial expressions on a person's face and deduce that person's emotional state. The research presented in this thesis explores combinations of several facial feature extraction techniques with different classifier algorithms. Namely, the feature extraction techniques used in this research were Discrete Cosine/Sine Transforms, Fast Walsh-Hadamard Transform, Principle Component Analysis, and a novel method called XPoint. Features were extracted from both global (using the entire facial image) and …

An Exploratory Study Of Engineering Students’ Misconceptions About Technical Communication, Cheryl Q. Li, Judy Randi, Jenna Sheffield

Engineering and Applied Science Education Faculty Publications

This paper reports results of a mixed methods study that examined engineering students’ acquisition of technical communication skills over time. In particular, this exploratory study aimed to identify persistent errors, lingering misconceptions, and challenges engineering students faced when they attempted to apply their knowledge and skills in new contexts. The 12 participants were drawn from engineering courses in which students were required to compose technical memoranda in response to requests for information from supervisors or clients. This integrated approach addresses content and communication in the same course. The study included a longitudinal analysis of four technical memoranda written across two …