Digital Commons Network^™

Robust Adaptive Rate Control Algorithm And Its Simulation For P2p-Tv Streaming Media Systems, Fengjie Yin, Yang Hui, Zhang Ying

Journal of System Simulation

Abstract: A control algorithm proposed to control the upstream rate based on sliding mode control in P2P-TV streaming media node. Through the rational design of sliding mode controller, the algorithm can adaptively control the numbers of signaling threads between neighbor pairs connected simultaneously and then control the upload rate. Further, it can achieve the fair use of resources. Due to the sliding mode control has strong robust with modeling uncertainties, time varying parameter fluctuations and external disturbances, it can avoid the system congestion under network condition change. Simulation results demonstrate that it can lead to the convergence of the …

Comparison Of Organic Food Packaging In Denmark, Finland, Germany, Great Britain And Italy, Sara Paunonen, Marja Pitkänen, Mika Vähä-Nissi, Ville Leminen, Mika Kainusalmi

Journal of Applied Packaging Research

The objective of this study was to provide a snapshot of organic food assortments in supermarkets in Denmark, Finland, Germany, Great Britain, and Italy, and compare the packages used for five organic food products (eggs, meat, fish, mushrooms, berries). In addition, a comparison was made between packaging for regular and organic whole eggs. The highest number of organic products was found in the Danish supermarket. The main difference between the countries was in the use of national organic logos. Of the different food products, egg cartons had the most variation in materials and visual design. In all countries the product …

The Pedagogy Of Design And Technology At Xavier University Of Louisiana, New Orleans, Shayna Tova Blum

Faculty and Staff Publications

Abstract. Xavier University of Louisiana (XULA) is a Science, Technology, Engineering, and Mathematics (STEM) university located in New Orleans, Louisiana. As a Historically Black University (HBCU), the university serves a diverse community of students in which many are first-generation, college graduates. Students enrolled in Design courses at XULA are studying in Bachelor of Science and Bachelor of Art programs and majoring in subjects such as Computer Science, Physics, Mass Communication, Art, Business, and Science. The interdisciplinary student environment offers a unique opportunity for collaboration and peer learning, whereby students are able to share diverse perspectives on a topic by relating …

Writing Children’S Stories To Improve Engineering Student’S Communication With Non-Engineering Audiences, Benjamin D. Mcpheron, Katelyn J. Butler

ASEE IL-IN Section Conference

One of the biggest challenges for students in science and engineering is communicating technical information to a non-technical audience. Students may struggle because they are not adept writers, because they cannot divorce the ideas from the jargon, or because they simply don't understand the material well enough to explain it to someone else. To attempt to address this issue, this study proposes the use of children’s stories to help students practice writing for a target, non-technical audience. To measure the efficacy of this method, junior level engineering students in an electronics course in Fall 2018 were asked to write children’s …

Project Insight: A Granular Approach To Enterprise Cybersecurity, Sunna Quazi, Adam Baca, Sam Darsche

SMU Data Science Review

In this paper, we disambiguate risky activity corporate users are propagating with their software in real time by creating an enterprise security visualization solution for system administrators. The current problem in this domain is the lag in cyber intelligence that inhibits preventative security measure execution. This is partially due to the overemphasis of network activity, which is a nonfinite dataset and is difficult to comprehensively ingest with analytics. We address these concerns by elaborating on the beta of a software called "Insight" created by Felix Security. The overall solution leverages endpoint data along with preexisting whitelist/blacklist designations to unambiguously communicate …

A 3d Tree Visualization Of Network Data Based On Webvr, Lin Ding, Guoxin Huang, Xu Ying

Journal of System Simulation

Abstract: A new method of three dimensional tree-style visualization of network data is proposed in this paper based on cluster computing, which maps the network structure of clustered data to hierarchical tree structure. The number of nodes of a community is treated as the weight to improve the PhylloTrees' phyllotactic layout algorithm and the 3D visualization of network data is implemented based on WebVR. Friendly interactive manipulations are achieved in the immersive VR scene such as rotation, zooming, pan, picking, and transparent fade / highlight enhancement of different displaying. The experimental results show that our method can show not only …

Variable Scale Point Cloud Registration Algorithm, Shuifa Sun, Zhun Li, Kun Xia, Yunfei Shi, Jiquan Yang, Fangmin Dong

Journal of System Simulation

Abstract: To address the low registration accuracy issue caused by scale mismatch of two point clouds, a multi-scale point cloud registration algorithm is proposed based on the distance ratio invariance of the geometric center of gravity and centroid. The point cloud is firstly filtered. Then, the scale ratio calculation model of the point cloud data is established by computing the point cloud’s gravity center and centroid. Finally, according to the relationship between the registration error and the scale true value, the scale factor is refined step by step with ICP algorithm. For the noise and the inconsistent point in the …

Cloud Fraction Of Satellite Imagery Based On Convolutional Neural Networks, Xia Min, Maoyang Shen, Jianfeng Wang, Yangguang Wang

Journal of System Simulation

Abstract: Cloud fraction is the basis for the application of meteorological satellite. Existing methods cannot use all the characteristics and optical parameters of the satellite cloud, which results in the inaccuracy of cloud detection and cloud fraction. In order to solve this problem, convolutional neural network is used for cloud detection. Based on the improved convolutional neural network, the satellite cloud image is divided into thin cloud, thick cloud and clear sky. Based on the cloud detection, an improved spatial correlation method is used for cloud fraction. The results for Chinese HJ-1A/B satellite imagery show that convolutional neural network can …

Denoising Renoir Image Dataset With Dbsr, Fatma Albluwi, Vladimir A. Krylov, Rozenn Dahyot

Session 2: Deep Learning for Computer Vision

Noise reduction algorithms have often been evaluated using images degraded by artificially synthesised noise. The RENOIR image dataset [3] provides an alternative way for testing noise reduction algorithms on real noisy images and we propose in this paper to assess our CNN called De-Blurring Super-Resolution (DBSR) [2] to reduce the natural noise due to low light conditions in a RENOIR dataset.

Comparison Of Activity Recognition Using 2d And 3d Skeletal Joint Data, Fiona Marshall, Shuai Zhang, Bryan Scotney

Session 1: Active Vision, Tracking, Motion Analysis

No abstract provided.

Analysis Of Factors Influencing Return On Investment (Roi) For Building Information Modeling (Bim) Implementation, Tugce Kulaksiz

Wayne State University Dissertations

A research study was conducted to investigate and understand factors influencing Return on Investment of Building Information Modeling (BIM).

Research data was collected from 182 industry professionals (design firms, contractors and owners) using a survey instrument. The research data were evaluated by examining frequency distributions and running statistical analyses including an analysis of variance with post hoc tests and a multiple linear regression analysis. Furthermore, a simulation study was conducted to infer conclusions about the larger population from which the repeated samples were taken. The research findings revealed that the factors contributing to Return on Investment of BIM implementation were: …

Matlab Gui Based Educational Simulation Tool Box For Power Analysis, Tharuka Senevirathne

All Graduate Theses, Dissertations, and Other Capstone Projects

One of the most important and complex tasks in power engineering is the analysis of power systems under fault conditions. The detection and analysis of these faults are important to guarantee that the dependability and stability of the power system does not decline as a result of a critical event such as a fault. This thesis will conduct research on how a power system under fault conditions behaves and will examine the various scenarios of faults such as three-phase, single line-to-ground, line-to-line, and double line-to-ground faults. A simplified method based on symmetrical components is used to construct the mathematical models …

Use Of Virtual Reality Technology In Medical Training And Patient Rehabilitation, Sankalp Mishra

Browse all Theses and Dissertations

Coaching patients to follow the rehabilitation routines correctly and timely after surgery is often a challenge due to the limited medical knowledge of patients and limited availability of clinicians. Similarly, it is also a challenge to train medical professionals with both the technical and communication skills required in their practices. The recent emergence of VR technologies shines the light on improving the current training practices. In this thesis research, I will look at the development and application of VR-based immersive training games for two particular cases: 1. Post hand surgery rehab; and, 2. Training for Social determinants of health (SDOH) …

Retail Facility Layout Considering Shopper Path And Door Placement, Sagarkumar D. Hirpara

Browse all Theses and Dissertations

The physical design of a retail store is known to influence the attitude and behavior of shoppers, in turn affecting the store’s performance. While literature in retail design has alluded to the impact of changes in department placements on impulse revenue, it has not accounted for the changes in the path of a shopper due to such modifications. Shopper path changes can alter a department’s visibility to the shoppers as they pass by, and such visibility eventually impacts that department’s impulse revenue. To address this gap, we study the retail facility layout problem by accounting for changes in the shopper …

Spatial-Aware Global Contrast Representation For Saliency Detection, Dan Xu, Shucheng Huang, Xin Zuo

Turkish Journal of Electrical Engineering and Computer Sciences

Deep learning networks have been demonstrated to be helpful when used in salient object detection and achieved superior performance than the methods that are based on low-level hand-crafted features. In this paper, we propose a novel spatial-aware contrast cube-based convolution neural network (CNN) which can further improve the detection performance. From this cube data structure, the contrast of the superpixel is extracted. Meanwhile, the spatial information is preserved during the transformation. The proposed method has two advantages compared to the existing deep learning-based saliency methods. First, instead of feeding the deep learning networks with raw image patches or pixels, we …

A Computational Study On Aging Effect For Facial Expression Recognition, Elena Sönmez

Turkish Journal of Electrical Engineering and Computer Sciences

This work uses newly introduced variations of the sparse representation-based classifier (SRC) to challenge the issue of automatic facial expression recognition (FER) with faces belonging to a wide span of ages. Since facial expression is one of the most powerful and immediate ways to disclose individuals? emotions and intentions, the study of emotional traits is an active research topic both in psychology and in engineering fields. To date, automatic FER systems work well with frontal and clean faces, but disturbance factors can dramatically decrease their performance. Aging is a critical disruption element, which is present in any real-world situation and …

The Development Of The Infews-Er: A Virtual Resource Center For Transdisciplinary Graduate Student Training At The Nexus Of Food, Energy, And Water, Luis F. Rodriguez, Anna-Maria Marshall, Dan Cotton, Richard K. Koelsch, Jacek Koziel, Deanne Meyer, Dan Steward, Jill Heemstra, Anand Padmanabahn, John Classen, Nathan J. Meyer, Benjamin L. Ruddell, Sean M. Ryan, Ximing Cai, Emad Habib, Peter D. Saundry

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Problems at the nexus of Food, Energy and Water Systems (FEWS) are among the most complex challenges we face. Spanning simple to complex temporal, geographic, social, and political framings, the questions raised at this nexus require multidisciplinary if not transdisciplinary approaches. Answers to these questions must draw from engineering, the physical and biological sciences, and the social sciences. Practical solutions depend upon a wide community of stakeholders, including industry, policymakers, and the general public. Yet there are many obstacles to working in a transdisciplinary environment: unfamiliar concepts, specialized terminology, and countless “blind” spots. Graduate education occurs in disciplinary ‘silos’, often …

The Application Of Fmea To Study The Critical Barriers To Deploying Carbon Capture And Storage In A Thai Petroleum Refinery, Amornrat Sethi

Chulalongkorn University Theses and Dissertations (Chula ETD)

The carbon capture and storage (CCS) technology is still in early phase development and not considered a competitive greenhouse gases (GHG) mitigation technology in Thailand to be included in the climate change mitigation plans, causing the lack of resources and market and other challenges to promote its development and deployment. CCS will play a crucial role as a GHG emission mitigation strategy in the coming years globally as the energy demand grows continuously. In order to successfully deploy the technology in different industries in Thailand, especially the energy sector, it is essential to identify all of the potential causes of …

Teaching Adult Learners On Software Architecture Design Skills, Eng Lieh Ouh, Yunghans Irawan

Research Collection School Of Computing and Information Systems

Software architectures present high-level views ofsystems, enabling developers to abstract away the unnecessarydetails and focus on the overall big picture. Designing a softwarearchitecture is an essential skill in software engineering and adultlearners are seeking this skill to further progress in their career.With the technology revolution and advancements in this rapidlychanging world, the proportion of adult learners attendingcourses for continuing education are increasing. Their learningobjectives are no longer to obtain good grades but the practicalskills to enable them to perform better in their work and advancein their career. Teaching software architecture to upskill theseadult learners requires contending with the problem of …

Finding Balance In Generative Product Design, Alex Lobos

Presentations and other scholarship

Generative design develops complex forms and structures similar to those found in nature, taking advantage of automated tasks and high-scale computing power. This approach benefits designers in the creation systems that are efficient, resilient and visually engaging. These systems follow specific rules for form generation and meet clear design goals in terms of shape, strength, mass, and other physical attributes.

There is a large number of methods for creating generative systems, based on establishing desired outcomes and behaviors for how components relate to each other. Examples of methods include L-Systems, Shape Grammars, Swarm Intelligence, Form Optimization, Lattice Design, and many …

Underwater Image De-Scattering And Enhancing Using Dehazenet And Hwd, Pan-Wang Pan, Fei Yuan, En Cheng

Journal of Marine Science and Technology–Taiwan

De-scattering and edge enhancing are critical procedures for underwater images which suffer from serious contrast attenuation, color deviation, and edge blurring. In this paper, a novel method is proposed to enhance underwater images. Firstly, a Convolutional Neural Network (CNN) is trained end-to-end to estimate the transmission map. Simultaneously, the adaptive bilateral filter is used to refine the transmission map. Secondly, a strategy based on the white balance is proposed to remove the color deviation. Laplace pyramid fusion is utilized to obtain the fusion result of the haze-free and color-corrected image. Finally, the output image is transformed into the Hybrid Wavelets …

Synthesis And Characterization Of Polyaniline Agglomerates And Polyaniline Nanoparticles To Use As Printed Sensors To Detect Spoilage Of Catfish During Refrigerated Storage, Vashti Martae Campbell

LSU Master's Theses

There is growing interest in the development of sensors contained in packaging for seafood that are applicable at the consumer level to monitor freshness in a non-destructive manner. Total volatile basic nitrogen (TVB-N) analysis indicates the freshness of seafood. TVB-N analysis is sensitive to the spoilage compounds comprised of ammonia, trimethylamine, dimethylamine, and biogenic amines commonly found in seafood and whose concentration increases when spoilage microbial growth occurs. However, TVB-N analysis is laborious and is not suitable for use at the consumer level. Polyaniline (PANI) is a polymer that may be used as a sensor for detecting TVB-N in seafood. …

Fpga-Based Dsp System, Aaron Nguyen

Computer Engineering

The purpose of this project is to create a modular FPGA-based filtering system for audio in VHDL. The final implementation has a working input, output, and filtering system but the filtering system still must be fine-tuned.

Non-Mpm Mode Coding For Intra Prediction In Video Coding, Taru Kanchan

Computer Science and Engineering Master's Theses

The High Efficiency Video Coding standard introduced thirty-five intra prediction modes. It employed a method based on three most probable modes (MPM) to improve intra mode coding. This method significantly improved the performance by extracting three MPMs out of the thirty-five intra modes. The Joint Video Exploration Team (JVET) defines sixty-seven intra prediction modes for a possible future video coding standard. In the latest JVET development, six MPMs are chosen, and the remaining sixty-one modes are divided into sixteen “selected” and forty-five “non-selected” modes. These non-MPM modes are coded using fixed length coding. This research focusses on finding more efficient …

Pilot Visual Detection Of Small Unmanned Aircraft Systems (Suas) Equipped With Strobe Lighting, Ryan J. Wallace, Jon M. Loffi, Samuel M. Vance, Jamey Jacob, Jared C. Dunlap, Taylor A. Mitchell

Journal of Aviation Technology and Engineering

When operating under Visual Flight Rules, pilots primarily rely on visual scanning to avoid other aircraft and airborne collision threats. Records from the Federal Aviation Administration indicate that near encounters with unmanned aircraft are on the rise, reaching 1,761 reported unmanned aircraft system (UAS) sightings or near-misses in 2016. This study sought to assess the effectiveness of pilot visual detection of UAS platforms that were equipped with strobe lighting. A sample of 10 pilots flew a general aviation aircraft on a scripted series of five intercepts with a small UAS (sUAS) that was equipped with strobe lighting. Participants were asked …

Improving And Predicting The Effectiveness Of Dispersed, Multi-Disciplinary Design Teams, Matthew Oliver Wald

Theses and Dissertations

The use of dispersed (virtual) teams is growing rapidly in the engineering profession. To help prepare students for work in this type of industry, university engineering courses are requiring students to work in teams. Industry leaders and university faculty are interested in improving and measuring the performance of these distributed teams. Surveys, interviews, and observations from the AerosPACE Partners for the Advancement of Collaborative Engineering (AerosPACE) capstone design course are examined to demonstrate how different collaboration tools can be used to best enhance a distributed design team's effectiveness. Collaboration tools to which distributed design teams should give extra consideration at …

Visual Analytics Of Cascaded Bottlenecksin Planar Flow Networks, Tobias Post, Thomas Wischgoll, Bernd Hamann, Hans Hagen

Computer Science and Engineering Faculty Publications

Finding bottlenecks and eliminating them to in-crease the overall flow of a network often appears in real world applications, such as production planning, factory layout, flowrelated physical approaches, and even cyber security. In many cases, several edges can form a bottleneck (cascaded bottlenecks). This work presents a visual analytics methodology to analyze these cascaded bottlenecks. The methodology consists of multiple steps: identification of bottlenecks, identification of potential improvements, communication of bottlenecks, interactive adaption of bottlenecks, and a feedback loop that allows users to adapt flow networks and their resulting bottlenecks until they are satisfied with the flow network configuration. To …

Analyzing A Shopper’S Visual Experience In A Retail Store And The Impact On Impulse Profit, Bradley Robert Guthrie

Browse all Theses and Dissertations

The retail industry in the U.S. contributed 1.14 trillion in value added (or 5.9%) to the GDP in 2017, an increase of 3.7% from the previous year. While store closures have dominated the news in the recent past (e.g., Toys-R-Us, Sears, and Bon-Ton) due to ineffective supply chain practices, inadequate in-store experiences, and competition from e-tailers, other retailers such as Ross, T. J. Maxx, Burlington Coat Factory, and Kroger have been expanding their footprint. Brick-and-mortar stores are unique as they allow shoppers the ability to see, touch, and try products, in addition to exploring new products. Kohl’s CEO has even …

Computer Aided Drawing Software Delivered Through Emotional Learning. The Use Of Emoticons And Gifs As A Tool For Increasing Student Engagement., Matteo Zallio, Damon Berry

Conference Papers

It is known that one of the key factors for many manufacturing companies, who are involved in the design and development process, is represented by the quality of the skills, capacity and experience of computer-aided design draftsman and designers. This means that effective, up-to-date and engaging training has to be performed by teachers and instructors, since the early stage lectures for novice engineering students. When learners are engaged and actively participate in the training process, then this transfers in to a high, deep level of learning, quality of the learnt topics and perceived passion. The following question arises, “how can …

An Uncertainty-Aware Visual System For Image Pre-Processing, Christina Gillmann, Pablo Arbelaez, Jose Tiberio Hernandez, Hans Hagen, Thomas Wischgoll

Computer Science and Engineering Faculty Publications

Due to image reconstruction process of all image capturing methods, image data is inherently affected by uncertainty. This is caused by the underlying image reconstruction model, that is not capable to map all physical properties in its entirety. In order to be aware of these effects, image uncertainty needs to be quantified and propagated along the entire image processing pipeline. In classical image processing methodologies, pre-processing algorithms do not consider this information. Therefore, this paper presents an uncertainty-aware image pre-processing paradigm, that is aware of the input image’s uncertainty and propagates it trough the entire pipeline. To accomplish this, we …