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Articles 811 - 840 of 1355
Full-Text Articles in Computer Sciences
Recommendations For A Standardized Program Management Office (Pmo) Time Compliance Network Order (Tcno) Patching Process, Michael Czumak Iii
Recommendations For A Standardized Program Management Office (Pmo) Time Compliance Network Order (Tcno) Patching Process, Michael Czumak Iii
Theses and Dissertations
Network security is a paramount concern for organizations utilizing computer technology, and the Air Force is no exception. Network software vulnerability patching is a critical determinant of network security. The Air Force deploys these patches as Time Compliance Network Orders (TCNOs), which together with associated processes and enforced timelines ensure network compliance. While the majority of the network assets affected by this process are Air Force owned and operated, a large number are maintained by external entities known as Program Management Offices (PMOs). Although these externally controlled systems provide a service to the Air Force and reside on its network, …
Towards The Development Of A Defensive Cyber Damage And Mission Impact Methodology, Larry W. Fortson Jr.
Towards The Development Of A Defensive Cyber Damage And Mission Impact Methodology, Larry W. Fortson Jr.
Theses and Dissertations
The purpose of this research is to establish a conceptual methodological framework that will facilitate effective cyber damage and mission impact assessment and reporting following a cyber-based information incidents. Joint and service guidance requires mission impact reporting, but current efforts to implement such reporting have proven ineffective. This research seeks to understand the impediments existing in the current implementation and to propose an improved methodology. The research employed a hybrid historical analysis and case study methodology for data collection through extensive literature review, examination of existing case study research and interviews with Air Force members and civilian personnel employed as …
Multi-Robot Fastslam For Large Domains, Choyong G. Koperski
Multi-Robot Fastslam For Large Domains, Choyong G. Koperski
Theses and Dissertations
For a robot to build a map of its surrounding area, it must have accurate position information within the area, and to obtain accurate position information within the area, the robot needs to have an accurate map of the area. This circular problem is the Simultaneous Localization and Mapping (SLAM) problem. An efficient algorithm to solve it is FastSLAM, which is based on the Rao-Blackwellized particle filter. FastSLAM solves the SLAM problem for single-robot mapping using particles to represent the posterior of the robot pose and the map. Each particle of the filter possesses its own global map which is …
Stochastic Estimation And Control Of Queues Within A Computer Network, Nathan C. Stuckey
Stochastic Estimation And Control Of Queues Within A Computer Network, Nathan C. Stuckey
Theses and Dissertations
An extended Kalman filter is used to estimate size and packet arrival rate of network queues. These estimates are used by a LQG steady state linear perturbation PI controller to regulate queue size within a computer network. This paper presents the derivation of the transient queue behavior for a system with Poisson traffic and exponential service times. This result is then validated for ideal traffic using a network simulated in OPNET. A more complex OPNET model is then used to test the adequacy of the transient queue size model when non-Poisson traffic is combined. The extended Kalman filter theory is …
Digital Support For Abductive Learning In Introductory Computing Courses, Atanas Radenski
Digital Support For Abductive Learning In Introductory Computing Courses, Atanas Radenski
Mathematics, Physics, and Computer Science Faculty Articles and Research
Students who grew up browsing the Web are skilled in what is usually referred to as abduction, a reasoning process that starts with a set of specific observations and then generates the best possible explanation of those observations. In order to exploit the abduction skills of contemporary students, we have developed digital CS1/2 study packs that promote and support active learning through abduction, i.e., abductive learning. The study packs integrate a variety of digital resources: online self-guided labs, e-texts, tutorial links, sample programs, quizzes, and slides. These online packs stimulate students to learn abductively by browsing, searching, and performing self-guided …
Project Hosting: Expanding The Scientific Programmer's Toolbox, George K. Thiruvathukal
Project Hosting: Expanding The Scientific Programmer's Toolbox, George K. Thiruvathukal
Computer Science: Faculty Publications and Other Works
Emerging technologies such as free and open source project hosting will hopefully broaden interest in scientific programming in a business context.
Adapting The Phylogenetic Program Fitch For Distributed Processing, Robert A. Dubin
Adapting The Phylogenetic Program Fitch For Distributed Processing, Robert A. Dubin
Theses, Dissertations and Culminating Projects
The ability to reconstruct optimal phylogenies (evolutionary trees) based on objective criteria impacts directly on our understanding the relationships among organisms, including human evolution, as well as the spread of infectious disease. Numerous tree construction methods have been implemented for execution on single processors, however inferring large phylogenies using computationally intense algorithms can be beyond the practical capacity of a single processor. Distributed and parallel processing provides a means for overcoming this hurdle. FITCH is a freely available, single-processor implementation of a distance-based, tree-building algorithm commonly used by the biological community. Through an alternating least squares approach to branch length …
Tube (Text-Cube) For Discovering Documentary Evidence Of Associations Among Entities, Hady Lauw, Ee Peng Lim, Hwee Hwa Pang
Tube (Text-Cube) For Discovering Documentary Evidence Of Associations Among Entities, Hady Lauw, Ee Peng Lim, Hwee Hwa Pang
Research Collection School Of Computing and Information Systems
User-driven discovery of associations among entities, and documents that provide evidence for these associations, is an important search task conducted by researchers and do-main information specialists. Entities here refer to real or abstract objects such as people, organizations, ideologies, etc. Associations are the inter-relationships among entities. Most current works in query-driven document retrieval and finding representative subgraphs are ill-suited for the task as they lack an awareness of entity types as well as an intuitive representation of associations. We propose the TUBE model, a text cube approach for discovering associations and documentary evidence of these associations. The model consists of …
Privacy-Preserving Credentials Upon Trusted Computing Augmented Servers, Yanjiang Yang, Robert H. Deng, Feng Bao
Privacy-Preserving Credentials Upon Trusted Computing Augmented Servers, Yanjiang Yang, Robert H. Deng, Feng Bao
Research Collection School Of Computing and Information Systems
Credentials are an indispensable means for service access control in electronic commerce. However, regular credentials such as X.509 certificates and SPKI/SDSI certificates do not address user privacy at all, while anonymous credentials that protect user privacy are complex and have compatibility problems with existing PKIs. In this paper we propose privacy-preserving credentials, a concept between regular credentials and anonymous credentials. The privacy-preserving credentials enjoy the advantageous features of both regular credentials and anonymous credentials, and strike a balance between user anonymity and system complexity. We achieve this by employing computer servers equipped with TPMs (Trusted Platform Modules). We present a …
Percentage-Based Hybrid Pattern Training With Neural Network Specific Cross Over, Sheng-Uei Guan, Kiruthika Ramanathan
Percentage-Based Hybrid Pattern Training With Neural Network Specific Cross Over, Sheng-Uei Guan, Kiruthika Ramanathan
Research Collection School Of Computing and Information Systems
In this paper, a new weight-setting method is proposed to improve the training time and generalization accuracy of feed-forward neural networks. This method introduces a percentage-based hybrid pattern training (PHP) scheme and aims to provide a solution to the problem dependency of other Genetic Algorithm (GA)-based Neural Network weight-setting methods. A neural network is trained using a neural network specific GA until a certain percentage of the training patterns is learned. The weights thus obtained are used as the initial weights for backpropagation (BP) training, which is then applied to complete the network training. Further improvement to the method was …
Experiences With Tracking The Effects Of Changing Requirements On Morphbank: A Web-Based Bioinformatics Application, Subhajit Datta, Robert Van Engelen, David Gaitros, Neelima Jammigumpula
Experiences With Tracking The Effects Of Changing Requirements On Morphbank: A Web-Based Bioinformatics Application, Subhajit Datta, Robert Van Engelen, David Gaitros, Neelima Jammigumpula
Research Collection School Of Computing and Information Systems
In this paper, we present a case study of applying the metrics Mutation Index, Component Set, Dependency Index on Morphbank- a web based bioinformatics application - to track the effects of changing requirements on a software system and suggest design modifications to mitigate such impact. Morphbank is "an open web repository of biological images documenting specimen-based research in comparative anatomy, morphological phylogenetics, taxonomy and related fields focused on increasing our knowledge about biodiversity". This paper discusses the context of the case study, analyzes the results, highlights observations and learning, and mentions directions of future work.
Malicious Kgc Attacks In Certificateless Cryptography, Man Ho Au, Jing Chen, Joseph K. Liu, Yi Mu, Duncan S. Wong, Guomin Yang, Guomin Yang
Malicious Kgc Attacks In Certificateless Cryptography, Man Ho Au, Jing Chen, Joseph K. Liu, Yi Mu, Duncan S. Wong, Guomin Yang, Guomin Yang
Research Collection School Of Computing and Information Systems
Identity-based cryptosystems have an inherent key escrow issue, that is, the Key Generation Center (KGC) always knows user secret key. If the KGC is malicious, it can always impersonate the user. Certificateless cryptography, introduced by Al-Riyami and Paterson in 2003, is intended to solve this problem. However, in all the previously proposed certificateless schemes, it is always assumed that the malicious KGC starts launching attacks (so-called Type II attacks) only after it has generated a master public/secret key pair honestly. In this paper, we propose new security models that remove this assumption for both certificateless signature and encryption schemes. Under …
Efficient Algorithms For Machine Scheduling Problems With Earliness And Tardiness Penalties, Guang Feng, Hoong Chuin Lau
Efficient Algorithms For Machine Scheduling Problems With Earliness And Tardiness Penalties, Guang Feng, Hoong Chuin Lau
Research Collection School Of Computing and Information Systems
In this paper, we study the multi-machine scheduling problem with earliness and tardiness penalties and sequence dependent setup times. This problem can be decomposed into two subproblems—sequencing and timetabling. Sequencing focuses on assigning each job to a fixed machine and determine the job sequence on each machine. We call such assignment a semi-schedule. Timetabling focuses on finding an executable schedule from the semi-schedule via idle-time insertion. Sequencing is strongly NP-hard in general. Although timetabling is polynomial-time solvable, it can become a computational bottleneck if the procedure is executed many times within a larger framework. This paper makes two contributions. We …
A Day In The Life Of Pubmed: Analysis Of A Typical Day's Query Log, Jorge R Herskovic, Len Y Tanaka, William Hersh, Elmer V Bernstam
A Day In The Life Of Pubmed: Analysis Of A Typical Day's Query Log, Jorge R Herskovic, Len Y Tanaka, William Hersh, Elmer V Bernstam
Faculty, Staff and Student Publications
OBJECTIVE: To characterize PubMed usage over a typical day and compare it to previous studies of user behavior on Web search engines. DESIGN: We performed a lexical and semantic analysis of 2,689,166 queries issued on PubMed over 24 consecutive hours on a typical day. MEASUREMENTS: We measured the number of queries, number of distinct users, queries per user, terms per query, common terms, Boolean operator use, common phrases, result set size, MeSH categories, used semantic measurements to group queries into sessions, and studied the addition and removal of terms from consecutive queries to gauge search strategies. RESULTS: The size of …
Automatic Composition Of Semantic Web Services Using Process And Data Mediation, Zixin Wu, Ajith H. Ranabahu, Karthik Gomadam, Amit P. Sheth, John A. Miller
Automatic Composition Of Semantic Web Services Using Process And Data Mediation, Zixin Wu, Ajith H. Ranabahu, Karthik Gomadam, Amit P. Sheth, John A. Miller
Kno.e.sis Publications
Web service composition has quickly become a key area of research in the services oriented architecture community. One of the challenges in composition is the existence of heterogeneities across independently created and autonomously managed Web service requesters and Web service providers. Previous work in this area either involved significant human effort or in cases of the efforts seeking to provide largely automated approaches, overlooked the problem of data heterogeneities, resulting in partial solutions that would not support executable workflow for real-world problems. In this paper, we present a planning-based approach to solve both the process heterogeneity and data heterogeneity problems. …
Real-Time Divisible Load Scheduling With Different Processor Available Times, Xuan Lin, Steve Goddard, Ying Lu, Jitender Deogun
Real-Time Divisible Load Scheduling With Different Processor Available Times, Xuan Lin, Steve Goddard, Ying Lu, Jitender Deogun
School of Computing: Technical Reports
Providing QoS and performance guarantees to arbitrarily divisible loads has become a significant problem for many cluster-based research computing facilities. While progress is being made in scheduling arbitrarily divisible loads, some of proposed approaches may cause Inserted Idle Times (IITs) that are detrimental to system performance. In this paper we propose a new approach that utilizes IITs and thus enhances the system performance. The novelty of our approach is that, to simplify the analysis, a homogenous system with IITs is transformed to an equivalent heterogeneous system, and that our algorithms can schedule real-time divisible loads with different processor available times. …
A 2007 Model Curriculum For A Liberal Arts Degree In Computer Science, Liberal Arts Computer Science Consortium, Charles F. Kelemen
A 2007 Model Curriculum For A Liberal Arts Degree In Computer Science, Liberal Arts Computer Science Consortium, Charles F. Kelemen
Computer Science Faculty Works
No abstract provided.
Live Surface, Christopher J. Armstrong
Live Surface, Christopher J. Armstrong
Theses and Dissertations
Live Surface allows users to segment and render complex surfaces from 3D image volumes at interactive (sub-second) rates using a novel, Cascading Graph Cut (CGC). Live Surface consists of two phases. (1) Preprocessing for generation of a complete 3D watershed hierarchy followed by tracking of all catchment basin surfaces. (2) User interaction in which, with each mouse movement, the 3D object is selected and rendered in real time. Real-time segmentation is ccomplished by cascading through the 3D watershed hierarchy from the top, applying graph cut successively at each level only to catchment basins bordering the segmented surface from the previous …
Performance Evaluation For Hybrid Architectures, Praveen Krishnamurthy
Performance Evaluation For Hybrid Architectures, Praveen Krishnamurthy
All Computer Science and Engineering Research
In this dissertation we discuss methologies for estimating the performance of applications on hybrid architectures, systems that include various types of computing resources (e.g. traditional general-purpose processors, chip multiprocessors, reconfigurable hardware). A common use of hybrid architectures will be to deploy coarse pipeline stages of application on "suitable" compute units with communication path for transferring data. The first problem we focus on relates to the sizing the data queues between the different processing elements of an hybrid system. Much of the discussion centers on our analytical models that can be used to derive performance metrics of interest such as, throughput …
Dynamic Energy Aware Task Scheduling Using Run-Queue Peek, Sachin Pawaskar, Hesham Ali
Dynamic Energy Aware Task Scheduling Using Run-Queue Peek, Sachin Pawaskar, Hesham Ali
Computer Science Faculty Proceedings & Presentations
Scheduling dependent tasks is one of the most challenging problems in parallel and distributed systems. It is known to be computationally intractable in its general form as well as several restricted cases. An interesting application of scheduling is in the area of energy awareness for mobile battery operated devices where minimizing the energy utilized is the most important scheduling policy consideration. A number of heuristics have been developed for this consideration. In this paper, we study the scheduling problem for a particular battery model. In the proposed work, we show how to enhance a well know approach of accounting for …
Small Business Ticketing System, Mohita Kadur
Small Business Ticketing System, Mohita Kadur
Regis University Student Publications (comprehensive collection)
Many small businesses in the cable and Internet industry provide services around cable, Internet and telephone for local residential areas. This is a win-win for both customers and service providers. Customers enjoy localized services and customer support that enables a quick turn around time on problems or outages. In order to efficiently service these customers, a ticketing system would be needed that enables customer identification, issue identification and tracking, provide updates on the status of an issue by technicians. This project is aimed at creating such a solution for a small sized service provider business. The end result of this …
Near Real-Time Extract, Transform And Load, Wei-Chwen Soon Wilson
Near Real-Time Extract, Transform And Load, Wei-Chwen Soon Wilson
Regis University Student Publications (comprehensive collection)
The integrated Public Health Information System (iPHIS) system requires a maximum one hour data latency for reporting and analysis. The existing system uses trigger-based replication technology to replicate data from the source database to the reporting database. The data is transformed into materialized views in an hourly full refresh for reporting. This solution is Central Processing Unit (CPU) intensive and is not scaleable. This paper presents the results of a pilot project which demonstrated that near real-time Extract, Transform and Load (ETL), using conventional ETL process with Change Data Capture (CDC), can replace this existing process to improve performance and …
Inference Of Node And Edge Replacement Graph Grammars, Jacek Kukluk
Inference Of Node And Edge Replacement Graph Grammars, Jacek Kukluk
Computer Science and Engineering Dissertations - Archive
In this dissertation we study the inference of node and edge replacement graph grammars. The approach is based on previous research in frequent isomorphic subgraphs discovery. We extend the search for frequent subgraphs by checking for overlap among the instances of the subgraphs in the input graph. If subgraphs overlap by one node, we propose a node replacement graph grammar production. If subgraphs overlap by two nodes or two nodes and an edge, we propose an edge replacement graph grammar production. We also can infer a hierarchy of productions by compressing portions of a graph described by a production and …
Feature-Based Mini Unmanned Air Vehicle Video Euclidean Stabilization With Local Mosaics, Damon Dyck Gerhardt
Feature-Based Mini Unmanned Air Vehicle Video Euclidean Stabilization With Local Mosaics, Damon Dyck Gerhardt
Theses and Dissertations
Video acquired using a camera mounted on a mini Unmanned Air Vehicle (mUAV) may be very helpful in Wilderness Search and Rescue and many other applications but is commonly plagued with limited spatial and temporal field of views, distractive jittery motions, disorienting rotations, and noisy and distorted images. These problems collectively make it very difficult for human viewers to identify objects of interest as well as infer correct orientations throughout the video. In order to expand the temporal and spatial field of view, stabilize, and better orient users of noisy and distorted mUAV video, a method is proposed of estimating …
People-Centric Urban Sensing: Security Challenges For The New Paradigm, Peter Johnson, Apu Kapadia, David Kotz, Nikos Triandopoulos
People-Centric Urban Sensing: Security Challenges For The New Paradigm, Peter Johnson, Apu Kapadia, David Kotz, Nikos Triandopoulos
Computer Science Technical Reports
We study the security challenges that arise in \emph{people-centric urban sensing}, a new sensor-networking paradigm that leverages humans as part of the sensing infrastructure. Most prior work on sensor networks has focused on collecting and processing ephemeral data about the environment using a static topology and an application-aware infrastructure. People-centric urban sensing, however, involves collecting, storing, processing and fusing large volumes of data related to every-day human activities. Sensing is performed in a highly dynamic and mobile environment, and supports (among other things) pervasive computing applications that are focused on enhancing the user's experience. In such a setting, where humans …
Engineering Mathematics Education At Wright State University: Uncorking The First Year Bottleneck, Nathan W. Klingbeil, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, Richard Mercer
Engineering Mathematics Education At Wright State University: Uncorking The First Year Bottleneck, Nathan W. Klingbeil, Kuldip S. Rattan, Michael L. Raymer, David B. Reynolds, Richard Mercer
Kno.e.sis Publications
No abstract provided.
Cmodels: Sat-Based Answer Set Programming System, Yuliya Lierler, Marco Maratea
Cmodels: Sat-Based Answer Set Programming System, Yuliya Lierler, Marco Maratea
Computer Science Faculty Publications
CMODELS [1, 2] is an answer set programming [3] system that uses the same frontend LPARSE as answer set solver SMODELS (http://www.tcs.hut.fi/Software/smodels/). CMODELS main computational characteristics is that it computes answer sets using a SAT solver for search.
The use of SAT solvers for generating answer sets is based on the fact that for logic programs satisfying syntactic condition, tightness, the answer set semantics is equivalent to the Clark’s completion semantics. In addition, [4] introduced concept of a loop formula, and demonstrated that the answer sets of a logic program are exactly the models of its completion that satisfy the …
Logistics Network Design With Supplier Consolidation Hubs And Multiple Shipment Options, Michelle L. F. Cheong, Rohit Bhatnagar, Stephen C. Graves
Logistics Network Design With Supplier Consolidation Hubs And Multiple Shipment Options, Michelle L. F. Cheong, Rohit Bhatnagar, Stephen C. Graves
Research Collection School Of Computing and Information Systems
An important service provided by third-party logistics (3PL) firms is to manage the inbound logistics of raw materials and components from multiple suppliers to several manufacturing plants. A key challenge for these 3PL firms is to determine how to coordinate and consolidate the transportation flow, so as to get the best overall logistics performance. One tactic is to establish consolidation hubs that collect shipments from several suppliers, consolidate these shipments, and direct the consolidated shipments to the appropriate manufacturing plant. We consider the network design problem to implement this tactic, namely deciding the number, location and operation of consolidation hubs …
Mining Generalized Associations Of Semantic Relations From Textual Web Content, Tao Jiang, Ah-Hwee Tan, We Wang
Mining Generalized Associations Of Semantic Relations From Textual Web Content, Tao Jiang, Ah-Hwee Tan, We Wang
Research Collection School Of Computing and Information Systems
Traditional text mining techniques transform free text into flat bags of words representation, which does not preserve sufficient semantics for the purpose of knowledge discovery. In this paper, we present a two-step procedure to mine generalized associations of semantic relations conveyed by the textual content of Web documents. First, RDF (resource description framework) metadata representing semantic relations are extracted from raw text using a myriad of natural language processing techniques. The relation extraction process also creates a term taxonomy in the form of a sense hierarchy inferred from WordNet. Then, a novel generalized association pattern mining algorithm (GP-Close) is applied …
Interactive Image Repair With Assisted Structure And Texture Completion, Teryl Arnold, Bryan S. Morse
Interactive Image Repair With Assisted Structure And Texture Completion, Teryl Arnold, Bryan S. Morse
Faculty Publications
Removing image defects in an undetectable manner has been studied for its many useful and varied applications. In many cases the desired result may be ambiguous from the image data alone and needs to be guided by a user’s knowledge of the intended result. This paper presents a framework for interactively incorporating user guidance into the filling-in process, more effectively using user input to fill in damaged regions in an image. This framework contains five main steps: first, the scratch or defect is detected; second, the edges outside the defect are detected; third, curves are fit to the detected edges; …