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Articles 811 - 840 of 3906
Full-Text Articles in Computer Sciences
Derivation Of Direct Explicit Integrators Of Rk Type For Solving Class Of Seventh-Order Ordinary Differential Equations, Mohammed S. Mechee, Jawad K. Mshachal
Derivation Of Direct Explicit Integrators Of Rk Type For Solving Class Of Seventh-Order Ordinary Differential Equations, Mohammed S. Mechee, Jawad K. Mshachal
Karbala International Journal of Modern Science
The main contribution of this work is the development of direct explicit methods of Runge-Kutta (RK) type for solving class of seventh-order ordinary differential equations (ODEs) to improve computational efficiency. For this purpose, we have generalized RK, RKN, RKD, RKT, RKFD and RKM methods for solving class of first-, second-, third-, fourth-, and fifth-order ODEs. Using Taylor expansion approach, we have derived the algebraic equations of the order conditions for the proposed RKM integrators up to the tenth-order. Based on these order conditions, two RKM methods of fifth- and sixth-order with four- and five-stage are derived. The zero stability of …
Age-Invariant Face Recognition Using Trigonometric Central Features, Ahmad Malek Bilal, Mohamad-Bassam Kurdy Ph.D
Age-Invariant Face Recognition Using Trigonometric Central Features, Ahmad Malek Bilal, Mohamad-Bassam Kurdy Ph.D
Karbala International Journal of Modern Science
Many facial recognition systems must fail because of many influences such as lighting, changes in composition, expression and aging in the face. But the effects of facial aging are the main problem that many algorithms face with precision. Accordingly, this work provides a model based on the extraction of a number of trigonometric features. The proposed model includes three areas connecting and surrounding the main facial features. In addition, aging is recognized by calculating the trigonometric zones extracted. The system compares the query face with the database. Then, the query image is extracted from the original face image. Next, the …
Properties Of Concrete Modified With Ultra-Fine Slag, Panga Narasimha Reddy, Javed Ahmed Naqash
Properties Of Concrete Modified With Ultra-Fine Slag, Panga Narasimha Reddy, Javed Ahmed Naqash
Karbala International Journal of Modern Science
The supplementary cementitious materials (SCM) can be used as a replacement of cement in the construction industry to minimize the drawbacks of normal concrete such as the emission of carbon dioxide so as to be eco-friendly. This paper presents the effect of ultra-fine slag (i.e. 25% of alccofine) as a replacement of cement for different water to binder ratios (i.e. 0.38, 0.4 and 0.45). The effect of alccofine on the concrete strength properties were studied at 7 and 28 days wherein considerable strength enhancement was observed compared to normal concrete. Thermogravimetric analysis was also carried out in which mass loss …
Analytical Approach To Investigation Of Free Vibration Of Thin Rectangular Plate Immersed In Fluid, Resting On Winkler And Pasternak Foundations, Obanishola Sadiq, Gbeminiyi Sobamowo, Saheed Salawu
Analytical Approach To Investigation Of Free Vibration Of Thin Rectangular Plate Immersed In Fluid, Resting On Winkler And Pasternak Foundations, Obanishola Sadiq, Gbeminiyi Sobamowo, Saheed Salawu
Karbala International Journal of Modern Science
Dynamic behaviour of free vibration of rectangular plate is investigated. This study considered an analytical approach to investigation of free vibration of thin rectangular plate immersed in fluid, resting on Winkler and Pasternak foundations.The governing nonlinear partial differential equation is analyzed using two-dimensional differential transform method. The accuracy of the analytical solutions obtained is verified with existing results in literature and confirmed in excellent agreement. Thereafter, the analytical solutions are used for investigation of effect of elastic foundation, fluid and aspect ratio on vibrating plate.From the result, it is observed that, increase elastic foundation parameters increases natural frequency, increase aspect …
Overview Of The System Integration Lab And Its Role In The Space Launch System, Matthew Pickard, David Rose
Overview Of The System Integration Lab And Its Role In The Space Launch System, Matthew Pickard, David Rose
Von Braun Symposium Student Posters
No abstract provided.
9th Annual Postdoctoral Science Symposium, University Of Texas Md Anderson Cancer Center Postdoctoral Association
9th Annual Postdoctoral Science Symposium, University Of Texas Md Anderson Cancer Center Postdoctoral Association
Annual Postdoctoral Science Symposium Abstracts
The mission of the Annual Postdoctoral Science Symposium (APSS) is to provide a platform for talented postdoctoral fellows throughout the Texas Medical Center to present their work to a wider audience. The MD Anderson Postdoctoral Association convened its inaugural Annual Postdoctoral Science Symposium (APSS) on August 4, 2011.
The APSS provides a professional venue for postdoctoral scientists to develop, clarify, and refine their research as a result of formal reviews and critiques of faculty and other postdoctoral scientists. Additionally, attendees discuss current research on a broad range of subjects while promoting academic interactions and enrichment and developing new collaborations.
Image Labeler: Label Earth Science Images For Machine Learning, Ashish Acharya, Iksha Gurung, Brian Freitag, Manil Maskey, Rahul Ramachandran
Image Labeler: Label Earth Science Images For Machine Learning, Ashish Acharya, Iksha Gurung, Brian Freitag, Manil Maskey, Rahul Ramachandran
Von Braun Symposium Student Posters
No abstract provided.
Radio Frequency Based Multi-Source Positioning In Indoor Environments, Vishal Perekadan, Tathagata Mukherjee
Radio Frequency Based Multi-Source Positioning In Indoor Environments, Vishal Perekadan, Tathagata Mukherjee
Von Braun Symposium Student Posters
No abstract provided.
Identifying Irrigated Agriculture Land Using Remote Sensing And Machine Learning, Ryann Firestine, Cameron Handyside, Tamseel Syed, Leiqiu Hu
Identifying Irrigated Agriculture Land Using Remote Sensing And Machine Learning, Ryann Firestine, Cameron Handyside, Tamseel Syed, Leiqiu Hu
Von Braun Symposium Student Posters
No abstract provided.
Capturing Dialogue State Variable Dependencies With An Energy-Based Neural Dialogue State Tracker, Anh Duong Trinh, Robert J. Ross, John D. Kelleher
Capturing Dialogue State Variable Dependencies With An Energy-Based Neural Dialogue State Tracker, Anh Duong Trinh, Robert J. Ross, John D. Kelleher
Conference papers
Dialogue state tracking requires the population and maintenance of a multi-slot frame representation of the dialogue state. Frequently, dialogue state tracking systems assume independence between slot values within a frame. In this paper we argue that treating the prediction of each slot value as an independent prediction task may ignore important associations between the slot values, and, consequently, we argue that treating dialogue state tracking as a structured prediction problem can help to improve dialogue state tracking performance. To support this argument, the research presented in this paper is structured into three stages: (i) analyzing variable dependencies in dialogue data; …
Correct-By-Construction Typechecking With Scope Graphs, Katherine Imhoff Casamento
Correct-By-Construction Typechecking With Scope Graphs, Katherine Imhoff Casamento
Dissertations and Theses
Dependently-typed languages are well-known for the ability to enforce program invariants through type signatures, and previous work establishes the effectiveness of this style of program verification in the implementation of type-safe interpreters for a wide class of languages with a variety of interesting scoping semantics, offering an account of dynamic semantics. This thesis covers the complementary topic of static semantics, in the form of a pattern for constructing verified typechecking procedures in a dependently-typed setting. Implementations are given for simply-typed lambda calculus and a small procedural language as well as a module system with unrestricted cyclic module dependency semantics that …
On Video Analysis Of Omnidirectional Bee Traffic: Counting Bee Motions With Motion Detection And Image Classification, Vladmir Kulyukin, Sarbajit Mukherjee
On Video Analysis Of Omnidirectional Bee Traffic: Counting Bee Motions With Motion Detection And Image Classification, Vladmir Kulyukin, Sarbajit Mukherjee
Computer Science Faculty and Staff Publications
Omnidirectional bee traffic is the number of bees moving in arbitrary directions in close proximity to the landing pad of a given hive over a given period of time. Video bee traffic analysis has the potential to automate the assessment of omnidirectional bee traffic levels, which, in turn, may lead to a complete or partial automation of honeybee colony health assessment. In this investigation, we proposed, implemented, and partially evaluated a two-tier method for counting bee motions to estimate levels of omnidirectional bee traffic in bee traffic videos. Our method couples motion detection with image classification so that motion detection …
The Future Of Cybercrime Prevention Strategies: Human Factors And A Holistic Approach To Cyber Intelligence, Sinchul Back, Jennifer Laprade
The Future Of Cybercrime Prevention Strategies: Human Factors And A Holistic Approach To Cyber Intelligence, Sinchul Back, Jennifer Laprade
International Journal of Cybersecurity Intelligence & Cybercrime
New technology is rapidly emerging to fight increasing cybercrime threats, however, there is one important component of a cybercrime that technology cannot always impact and that is human behavior. Unfortunately, humans can be vulnerable and easily deceived making technological advances alone inadequate in the cybercrime fight. Instead, we must take a more holistic approach by using technology and better understanding the human factors that make cybercrime possible. In this issue of the International Journal of Cybersecurity Intelligence and Cybercrime, three studies contribute to our knowledge of human factors and emerging cybercrime technology so that more effective comprehensive cybercrime prevention strategies …
A Test Of Structural Model For Fear Of Crime In Social Networking Sites, Seong-Sik Lee, Kyung-Shick Choi, Sinyong Choi, Elizabeth Englander
A Test Of Structural Model For Fear Of Crime In Social Networking Sites, Seong-Sik Lee, Kyung-Shick Choi, Sinyong Choi, Elizabeth Englander
International Journal of Cybersecurity Intelligence & Cybercrime
This study constructed a structural model which consists of social demographic factors, experience of victimization, opportunity factors, and social context factors to explain the public’s fear of crime on social networking sites (SNS). The model is based on the risk interpretation model, which predicts that these factors influence users’ fear of crime victimization. Using data from 486 university students in South Korea, an empirically-tested model suggests that sex and age have direct and significant effects on fear of victimization, supporting the vulnerability hypothesis. Among opportunity factors, the level of personal information and the number of offending peers have significant effects …
An Exploratory Perception Analysis Of Consensual And Nonconsensual Image Sharing, Jin Ree Lee, Steven Downing
An Exploratory Perception Analysis Of Consensual And Nonconsensual Image Sharing, Jin Ree Lee, Steven Downing
International Journal of Cybersecurity Intelligence & Cybercrime
Limited research has considered individual perceptions of moral distinctions between consensual and nonconsensual intimate image sharing, as well as decision making parameters around why others might engage in such behavior. The current study conducted a perception analysis using mixed-methods online surveys administered to 63 participants, inquiring into their perceptions of why individuals engage in certain behaviors surrounding the sending of intimate images from friends and partners. The study found that respondents favored the concepts of (1) sharing images with romantic partners over peers; (2) sharing non-intimate images over intimate images; and (3) sharing images with consent rather than without it. …
Blockchain Security: Situational Crime Prevention Theory And Distributed Cyber Systems, Nicholas J. Blasco, Nicholas A. Fett
Blockchain Security: Situational Crime Prevention Theory And Distributed Cyber Systems, Nicholas J. Blasco, Nicholas A. Fett
International Journal of Cybersecurity Intelligence & Cybercrime
The authors laid the groundwork for analyzing the crypto-economic incentives of interconnected blockchain networks and utilize situational crime prevention theory to explain how more secure systems can be developed. Blockchain networks utilize smaller blockchains (often called sidechains) to increase throughput in larger networks. Identified are several disadvantages to using sidechains that create critical exposures to the assets locked on them. Without security being provided by the mainchain in the form of validated exits, sidechains or statechannels which have a bridge or mainchain asset representations are at significant risk of attack. The inability to have a sufficiently high cost to attack …
Why Reinventing The Wheels? An Empirical Study On Library Reuse And Re-Implementation, Bowen Xu, Le An, Ferdian Thung, Foutse Khomh, David Lo
Why Reinventing The Wheels? An Empirical Study On Library Reuse And Re-Implementation, Bowen Xu, Le An, Ferdian Thung, Foutse Khomh, David Lo
Research Collection School Of Computing and Information Systems
Nowadays, with the rapid growth of open source software (OSS), library reuse becomes more and more popular since a large amount of third- party libraries are available to download and reuse. A deeper understanding on why developers reuse a library (i.e., replacing self-implemented code with an external library) or re-implement a library (i.e., replacing an imported external library with self-implemented code) could help researchers better understand the factors that developers are concerned with when reusing code. This understanding can then be used to improve existing libraries and API recommendation tools for researchers and practitioners by using the developers concerns identified …
Investigating Variable Dependencies In Dialogue States, Anh Duong Trinh, Robert J. Ross, John D. Kelleher
Investigating Variable Dependencies In Dialogue States, Anh Duong Trinh, Robert J. Ross, John D. Kelleher
Conference papers
Dialogue State Tracking is arguably one of the most challenging tasks among dialogue processing problems due to the uncertainties of language and complexity of dialogue contexts. We argue that this problem is made more challenging by variable dependencies in the dialogue states that must be accounted for in processing. In this paper we give details on our motivation for this argument through statistical tests on a number of dialogue datasets. We also propose a machine learning-based approach called energy-based learning that tackles variable dependencies while performing prediction on the dialogue state tracking tasks.
Pipelined Parallelism In A Work-Stealing Scheduler, Thomas Kelly
Pipelined Parallelism In A Work-Stealing Scheduler, Thomas Kelly
All Computer Science and Engineering Research
A pipeline is a particular type of parallel program structure, often used to represent loops with cross-iteration dependencies. Pipelines cannot be expressed with the typical parallel language constructs offered by most environments. Therefore, in order to run pipelines, it is necessary to write a parallel language and scheduler with specialized support for them. Some such schedulers are written exclusively for pipelines and unable to run any other type of program, which allows for certain optimizations that take advantage of the pipeline structure. Other schedulers implement support for pipelines on top of a general-purpose scheduling algorithm. One example of such an …
Bigger Versus Similar: Selecting A Background Corpus For First Story Detection Based On Distributional Similarity, Fei Wang, Robert J. Ross, John D. Kelleher
Bigger Versus Similar: Selecting A Background Corpus For First Story Detection Based On Distributional Similarity, Fei Wang, Robert J. Ross, John D. Kelleher
Conference papers
The current state of the art for First Story Detection (FSD) are nearest neighbour-based models with traditional term vector representations; however, one challenge faced by FSD models is that the document representation is usually defined by the vocabulary and term frequency from a background corpus. Consequently, the ideal background corpus should arguably be both large-scale to ensure adequate term coverage, and similar to the target domain in terms of the language distribution. However, given these two factors cannot always be mutually satisfied, in this paper we examine whether the distributional similarity of common terms is more important than the scale …
The Known Unknowns Of Diversity & Inclusion: Supporting Individuals With Hidden & Transitioning Identities, Stephen Secules, Cassandra Mccall
The Known Unknowns Of Diversity & Inclusion: Supporting Individuals With Hidden & Transitioning Identities, Stephen Secules, Cassandra Mccall
School of Universal Computing, Construction, and Engineering Education
The goal of this workshop is to create a safe and open space for people to learn about individuals with hidden and transitioning identities and ways to support them as community members and allies. Please only share information you are comfortable sharing and respectfully engage with and listen to others.
Rplidar A2 Accuracy, Ramiro O. Garcia
Rplidar A2 Accuracy, Ramiro O. Garcia
STAR Program Research Presentations
Traffic is not only a source of frustration but also a leading cause of death for people under 35 years of age. Recent research has focused on how driver assistance technology can be used to mitigate traffic fatalities and create more enjoyable commutes. In addition, self-driving vehicles can reduce fuel consumption the amount by 5% and increases the number of cars on the highway. To achieve this we need to research reliable sensors. This summer I research Rplidar A2 sensor which hopefully will be responsible for recording distance to the preceding car and helping prevent Insider Attacks or Misbehaviors of …
Development Of Probabilistic Cardinal Models, Oliver Serang
Development Of Probabilistic Cardinal Models, Oliver Serang
University Grant Program Reports
Cardinal models solve problems of the form Y=X_1+X_2+...+X_n, where we have discrete distributions on each random variable. The objective was to improve the usability and performance of Evergreen, an engine for solving cardinal models and to create cardinal models using them.
Technical Report 2019-01: Pupil Labs Eye Tracking User Guide, Joan D. Gannon, Augustine Ubah, Chris Dancy
Technical Report 2019-01: Pupil Labs Eye Tracking User Guide, Joan D. Gannon, Augustine Ubah, Chris Dancy
Other Faculty Research and Publications
No abstract provided.
Edgesense: Edge-Mediated Spatial-Temporal Crowdsensing, Sijia Yang, Jiang Bian, Licheng Wang, Haojin Zhu, Yanjie Fu, Haoyi Xiong
Edgesense: Edge-Mediated Spatial-Temporal Crowdsensing, Sijia Yang, Jiang Bian, Licheng Wang, Haojin Zhu, Yanjie Fu, Haoyi Xiong
Computer Science Faculty Research & Creative Works
Edge computing recently is increasingly popular due to the growth of data size and the need of sensing with the reduced center. Based on Edge computing architecture, we propose a novel crowdsensing framework called Edge-Mediated Spatial-Temporal Crowdsensing. This algorithm targets on receiving the environment information such as air pollution, temperature, and traffic flow in some parts of the goal area, and does not aggregate sensor data with its location information. Specifically, EdgeSense works on top of a secured peer-To-peer network consisted of participants and propose a novel Decentralized Spatial-Temporal Crowdsensing framework based on Parallelized Stochastic Gradient Descent. To approximate the …
Hypergraph Partitioning With Embeddings, Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
Hypergraph Partitioning With Embeddings, Justin Sybrandt, Ruslan Shaydulin, Ilya Safro
Publications
The problem of placing circuits on a chip or distributing sparse matrix operations can be modeled as the hypergraph partitioning problem. A hypergraph is a generalization of the traditional graph wherein each "hyperedge" may connect any number of nodes. Hypergraph partitioning, therefore, is the NP-Hard problem of dividing nodes into k" role="presentation" style="box-sizing: border-box; display: inline-table; line-height: normal; font-size: 16px; overflow-wrap: normal; white-space: nowrap; float: none; direction: ltr; max-width: none; max-height: none; min-width: 0px; min-height: 0px; border: 0px; padding: 0px; margin: 0px; color: rgb(93, 93, 93); font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; position: relative;">kk similarly sized disjoint sets while …
Predicting The Hardness Of Turf Surfaces From A Soil Moisture Sensor Using Iot Technologies, Ann Marie Mckeon
Predicting The Hardness Of Turf Surfaces From A Soil Moisture Sensor Using Iot Technologies, Ann Marie Mckeon
Other
In horseracing, “the going” is a term to describe the racetrack ground conditions. In Ireland presently, a groundskeeper or course clerk walks the racecourse poking it with a blackthorn stick, assesses conditions, and declares the going – it is a subjective measurement.
This thesis will propose using remote low-cost soil moisture sensors to gather high frequency data about the soil water content in the ground and to enable informed decisions to be made. This will remove the subjective element from the ground hardness, and look at the data in an objective way.
The soil moisture sensor will systematically collect high …
Memoryranger Prevents Highjacking File_Object Structures In Windows Kernel, Igor Korkin
Memoryranger Prevents Highjacking File_Object Structures In Windows Kernel, Igor Korkin
Journal of Digital Forensics, Security and Law
Windows OS kernel memory is one of the main targets of cyber-attacks. By launching such attacks, hackers are succeeding in process privilege escalation and tampering users’ data by accessing kernel-mode memory. This paper considers a new example of such an attack, which results in access to the files opened in an exclusive mode. Windows built-in security features prevent such a legal access, but attackers can circumvent them by patching dynamically allocated objects. The research shows that the newest Windows 10 x64 is vulnerable to this attack. The paper provides an example of using MemoryRanger, a hypervisor- based solution to prevent …
Evolucioni I Teknologjive Të Memorieve Në Aspektin E Shpejtësisë Në Raport Me Shpejtësinë E Mikroprocesorit, Nevzat Maksutaj
Evolucioni I Teknologjive Të Memorieve Në Aspektin E Shpejtësisë Në Raport Me Shpejtësinë E Mikroprocesorit, Nevzat Maksutaj
Theses and Dissertations
Hendeku në rritje i vazhdueshëm në mes të shpejtësisë së procesorit dhe shpejtësisë së memories është i rendësishëm në përformancen e përgjithshme të sistemit kompjuterik. Duke filluar dhe duke identifikuar problemin dhe kompleksitetin që kjo çështje mbanë në vete, ky punim në vete adreson përpjekjet e fundit të cilat janëzhvilluar për të zvogëluar në njëfarë forme pabarazinë e shpejtësisë së memories në raport me shpejtësinë e procesorit, gjegjësisht strategjitë e hierarkisë së memories dhe zhvillimin e memorieve më të “mençura”. Ky punim diplome në fund do të përmbajë instruksione apo udhëzime për evolucionin e teknologjisë për vitet e ardhshme sa …