Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- Singapore Management University (9091)
- China Simulation Federation (3924)
- TÜBİTAK (3106)
- Wright State University (2694)
- Purdue University (2078)
-
- Old Dominion University (2023)
- Missouri University of Science and Technology (1929)
- University of Nebraska - Lincoln (1740)
- Edith Cowan University (1296)
- Air Force Institute of Technology (1283)
- University of Texas at El Paso (1198)
- Kennesaw State University (1172)
- Dartmouth College (1105)
- San Jose State University (1053)
- City University of New York (CUNY) (959)
- Embry-Riddle Aeronautical University (951)
- Washington University in St. Louis (830)
- Brigham Young University (823)
- Technological University Dublin (816)
- California Polytechnic State University, San Luis Obispo (788)
- Zayed University (690)
- University of Texas at Arlington (667)
- University for Business and Technology in Kosovo (637)
- Portland State University (628)
- Chulalongkorn University (618)
- Nova Southeastern University (577)
- New Jersey Institute of Technology (573)
- Syracuse University (532)
- University of Central Florida (500)
- University of Nebraska at Omaha (497)
- Keyword
-
- Machine learning (1682)
- Artificial intelligence (1033)
- Deep learning (1019)
- Machine Learning (830)
- Computer Science (723)
-
- Security (653)
- Cybersecurity (568)
- Artificial Intelligence (513)
- Deep Learning (468)
- Computer science (414)
- Privacy (414)
- Simulation (390)
- Technical Reports (390)
- UTEP Computer Science Department (389)
- Classification (382)
- Algorithms (357)
- Optimization (356)
- Computer vision (355)
- Neural networks (347)
- Data mining (337)
- AI (308)
- Natural language processing (295)
- Department of Computer Science and Engineering (291)
- Engineering (269)
- Education (268)
- Reinforcement learning (262)
- Blockchain (260)
- Cloud computing (256)
- College for Professional Studies (253)
- Software engineering (252)
- Publication Year
- Publication
-
- Research Collection School Of Computing and Information Systems (8539)
- Journal of System Simulation (3924)
- Turkish Journal of Electrical Engineering and Computer Sciences (3106)
- Theses and Dissertations (2742)
- Department of Computer Science Technical Reports (1721)
-
- Computer Science & Engineering Syllabi (1312)
- Computer Science Faculty Publications (943)
- Departmental Technical Reports (CS) (914)
- Computer Science Faculty Research & Creative Works (907)
- Master's Projects (859)
- Computer Science Technical Reports (772)
- The R Journal (708)
- All Works (688)
- All Computer Science and Engineering Research (683)
- Faculty Publications (654)
- C-Day Computing Showcase (653)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (618)
- Dissertations (573)
- Electronic Theses and Dissertations (567)
- Kno.e.sis Publications (542)
- Journal of Digital Forensics, Security and Law (536)
- CCAC Theses and Dissertations (512)
- Walden Dissertations and Doctoral Studies (469)
- Theses (406)
- Computer Science Faculty Publications and Presentations (405)
- USF Tampa Graduate Theses and Dissertations (398)
- Neutrosophic Systems with Applications (385)
- Computer Science and Engineering Theses - Archive (365)
- Browse all Theses and Dissertations (359)
- Computer Science: Faculty Publications (352)
- Publication Type
Articles 61111 - 61140 of 63816
Full-Text Articles in Entire DC Network
Distributed Scheduling Of Unstructured Collective Communication On The Cm-5 (1993), Jyu-Chun Wang, Tseng-Hui Lin, Sanjay Ranka
Distributed Scheduling Of Unstructured Collective Communication On The Cm-5 (1993), Jyu-Chun Wang, Tseng-Hui Lin, Sanjay Ranka
College of Engineering and Computer Science - Former Departments, Centers, Institutes and Projects
Parallelization of many irregular applications results in unstructured collective communication. In this paper we present a distributed algorithm for scheduling such communication on parallel machines. We describe the performance of this algorithm on the CM-5 and show that the scheduling algorithm has very small overhead and gives a significant improvement over naive methods.
Ccis Networking - January 1993, Nova University
Ccis Networking - January 1993, Nova University
CCIS Networking / SCIS Networking magazines
No abstract provided.
Georg Cantor And The Battle For Transfinite Set Theory, Joseph Dauben
Georg Cantor And The Battle For Transfinite Set Theory, Joseph Dauben
ACMS Journal 2004
Georg Cantor is well known as the founder of transfinite set theory. Equally celebrated, however, are the obstacles he faced in trying to win acceptance for his seemingly unorthodox views, his acrimonious differences with Leopold Kronecker and his unfortunate but progressively debilitating nervous breakdowns that some authors have linked directly to his many problems with set theory. Above all, Cantor's justification of set theory was all the more urgent because of Kronecker's critical denunciation of Cantor's mathematics. In tracing the evolution of Cantorian set theory, it is necessary to examine the opposition it met, and evaluate the technical, philosophical, psychological, …
Monitoring Shared Memory: A Toolset Prototype For The Informix Online Administrator, Eric Gronholz
Monitoring Shared Memory: A Toolset Prototype For The Informix Online Administrator, Eric Gronholz
Honors Theses, 1963-2015
The "Monitor" Program was developed to assist system administrators for the INFORMIX OnLine Database Server with their evaluation of shared memory components used on their system. Using the Open Software Foundation (OSF)/Motif Widget set for Xt Intrinsics on the X Window System, this program creates scaled dials and pop-up windows to display system information at regular intervals. The program is surprisingly simple to operate and is general enough that with just a few modifications, it can be used to monitor any system information, not just shared memory information for OnLine. This program marks a new way to look at systems …
Software And Hardware Support For Workstation-Based, Salim Hariri, Manish Parashar, Jongbaek Park
Software And Hardware Support For Workstation-Based, Salim Hariri, Manish Parashar, Jongbaek Park
Electrical Engineering and Computer Science - All Scholarship
The proliferation of high performance workstations and the emergence of high speed networks have attracted a lot of interest in workstation-based supercomputing. We project that workstation-based environments with supercomputing capabilities will be available in the not-so-distant future. However a number of hardware and software issues have to be resolved before the full potential of these workstation-based supercomputing environments can be exploited. The presented research has two main objectives: (1) to investigate the limitations of communications techniques used in current workstation-based systems and to identify a set of requirements that must be satisfied to achieve workstation-based supercomputing; (2) to use these …
On Extremal Nonsupereulerian Graphs With Clique Number M, Zhi-Hong Chen
On Extremal Nonsupereulerian Graphs With Clique Number M, Zhi-Hong Chen
Scholarship and Professional Work - LAS
No abstract provided.
On The Edge Arboricity Of A Random Graph, P. A. Catlin, Zhi-Hong Chen, E. M. Palmer
On The Edge Arboricity Of A Random Graph, P. A. Catlin, Zhi-Hong Chen, E. M. Palmer
Scholarship and Professional Work - LAS
No abstract provided.
Integrated Computer Controlled Sensor Monitor, Tariq Hafeez Malik
Integrated Computer Controlled Sensor Monitor, Tariq Hafeez Malik
Theses : Honours
This research has developed an Integrated Computer Controlled Sensor Monitor (ICCSM) environment, to monitor and analyse alarm events associated with sensors, including an interface between a PC and a number of detectors. Such an environment will help the security industry analyse the factors causing false alarms at particular locations. The ICCSM environment monitors, and records, alarm data. Knowing exactly which sensor has been activated, and its location, is of paramount importance to the effective deployment of response forces and making the identification of causes of spurious alarms easier. The lCCSM environment is a combination of software and general purpose hardware, …
So Far (Schematically) Yet So Near (Semantically), Amit P. Sheth, Vipul Kashyap
So Far (Schematically) Yet So Near (Semantically), Amit P. Sheth, Vipul Kashyap
Kno.e.sis Publications
In a multidatabase system, schematic conflicts between two objects are usually of interest only when the objects have some semantic affinity. In this paper we try to reconcile the two perspectives. We first define the concept of semantic proximity and provide a semantic taxonomy. We then enumerate and classify the schematic and data conflicts. We discuss possible semantic similarities between two objects that have various types of schematic and data conflicts. Issues of uncertain information and inconsistent information are also addressed.
The Washington University Multimedia System, William D. Richard, Jerome R. Cox Jr., Brian Gottlieb, Ken Krieger
The Washington University Multimedia System, William D. Richard, Jerome R. Cox Jr., Brian Gottlieb, Ken Krieger
All Computer Science and Engineering Research
The Washington University Multimedia System (MMS) is a complete multimedia system capable of transmitting and receiving video, audio, and radiological images, in addition to normal network traffic, over the Washingon University broadband ATM network. The MMS consists of an ATMizer and three multimedia subsystems. The ATMizer implements the host interface, the interface to the ATM network, and the interface to the three multimedia subsystems. The video sybsystem encodes and decodes JPEG compressed video using two hardware compression engines. The audio subsystem encodes and decodes CD-quality stereo audio. The high-speed radiological image subsystem reformats radiological image data transmitted by a dedicated …
A Fault Tolerant Connectionist Architecture For Construction Of Logic Proofs, Gadi Pinkas
A Fault Tolerant Connectionist Architecture For Construction Of Logic Proofs, Gadi Pinkas
All Computer Science and Engineering Research
This chapter considers the problems of expressing logic and constructing proofs in fault tolerant connectionist networks that are based on energy minimalism. Given a first-order-logic knowledge base and a bound k, a symmetric network is constructed (like a Boltzman machine or a Hopfield network) that searches for a proof for a given query. If a resolution-based proof of length no longer than k exists, then the global minima of the energy function that is associated with the network represent such proofs. If no proof exist then the global minima indicate the lack of a proof. The network that is generated …
Research Proposal: Preference Acquisition Through Reconciliation Of Inconsistencies, Nilesh L. Jain
Research Proposal: Preference Acquisition Through Reconciliation Of Inconsistencies, Nilesh L. Jain
All Computer Science and Engineering Research
The quality of performance of a decision-support system (or an expert system) is determined to a large extent by its underlying preference model (or knowledge base). The difficulties in preference and knowledge acquisition make them a major focus of current research in decision-support and expert systems. Researchers have used various concepts to develop promising acquisition techniques. One of the concepts used is knowledge maintenence where the knowledge base is changed in response to incorrect or inadequate performance by the expert system. This dissertation investigates a preference acquisition technique based on the reconciliation of inconsistencies between the preference model and the …
Clinical Decision-Support Systems In Radiation Therapy, Nilesh L. Jain, Michael G. Kahn
Clinical Decision-Support Systems In Radiation Therapy, Nilesh L. Jain, Michael G. Kahn
All Computer Science and Engineering Research
Computers have been used in radiation therapy since the early 1960s to perform dose calculations. In the last decade, researchers have developed computer-based clinical decision-support systems for assisting in different decision-making tasks in radiation therapy. This paper reviews eleven prototype systems developed for target volume delineation, treatment planning, treatment plan evaluation, and treatment machine diagnosis. The advent of three-dimensional (3D) conformal radiation therapy (CRT) provides radiation oncologists with the opportunity to consider innovative beam arrangements which were not possible in two-dimensional class solutions. The difficulty of manually generating the thousands of clinically plausible 3D treatment plans calls for the use …
A Characterization Of The Computational Power Of Rule-Based Visualization, Kenneth C. Cox, Gruia-Catalin Roman
A Characterization Of The Computational Power Of Rule-Based Visualization, Kenneth C. Cox, Gruia-Catalin Roman
All Computer Science and Engineering Research
Declarative visualization is a paradigm in which the process of visualization is treated as a mapping from some domain (typically a program) to an image. One means of declaring such mappings is through the use of rules which specify the relationship between the domain and the image. This paper examines the computational power of such rule-based mappings. Computational power is measure using three separate criteria. The first of these uses the Chomsky hierarchy, in which computational power is treated as string-acceptance; with this criterion we are able to show that certain rule-based models are equivalent in power to Turing machines. …
Supervised Competitive Learning With Backpropagation Network And Fuzzy Logic, Takayuki Dan Kimura, Thomas H. Fuller Jr., Ce Wang
Supervised Competitive Learning With Backpropagation Network And Fuzzy Logic, Takayuki Dan Kimura, Thomas H. Fuller Jr., Ce Wang
All Computer Science and Engineering Research
SCL assembles a set of learning modules into a supervised learning system to address the stability-plasticity dilemma. Each learning module acts as a similarity detector for a prototype, and includes prototype resetting (akin to that of ART) to respond to new prototypes. Here (Part I) we report SCL results using back-propagation networks as the learning modules. We used two feature extractors: about 30 energy-based features, and a combination of energy-based and graphical features (about 60). ACL recognized 96% (energy) and 99% (energy/graphical) of test digits, and 91% (energy) and 96% (energy/graphical) of test letters. In the accompanying paper (Part II), …
Approximation Algorithms For Configuring Hierarchical Nonblocking Communication Networks, J. Andrew Fingerhut
Approximation Algorithms For Configuring Hierarchical Nonblocking Communication Networks, J. Andrew Fingerhut
All Computer Science and Engineering Research
A framework is given for specifying nonblocking traffic limits in a connection-oriented communications network. In this framework, connections may be point-to-point or mutlipoint, and the data rates may vary from one connection to another. The traffic limits may be "flat", or they may also be hierarchical, representing communities of interest within the network that have higher traffic among themselves than with the rest of the network. The communication networks are constructed from switches (or nodes) and trunks, which connect pairs of switches. This framework is intended to model Asynchronous Transfer Mode (ATM) networks and traffic. We present a way of …
Teaching A Smarter Learner, Sally A. Goldman, H. David Mathias
Teaching A Smarter Learner, Sally A. Goldman, H. David Mathias
All Computer Science and Engineering Research
We introduce a formal model of teaching in which the teacher is tailored to a particular learner, yet the teaching protocol is designed so that no collusion is possible. Not surprisingly, such a model remedies the non-intuitive aspects of otehr models in which the teacher must successfully teach any consistent learner. We prove that any class that can be exactly identified by a deterministic polynomial-time algorithm with access to a very rich set of example-based queries is teachable by a computationally unbounded teacher and a polynomial-time learner. In addition, we present other general results relating this model of teaching to …
Improving The Speed Of A Distributed Checkpointing Algorithm, Sachin Garg, Kenneth F. Wong
Improving The Speed Of A Distributed Checkpointing Algorithm, Sachin Garg, Kenneth F. Wong
All Computer Science and Engineering Research
This paper shows how Koo and Toueg's distributed checkpointing algorithm can be modified so as to substantially reduce the average message volume. It attempts to avoid O(n{squared}) messages by using dependency knowledge to reduce the number of checkpoint request messages. Lemmas on consistency and termination are also included.
Dynamic Reconfiguration With I/O Abstraction, Bala Swaminathan, Kenneth J. Goldman
Dynamic Reconfiguration With I/O Abstraction, Bala Swaminathan, Kenneth J. Goldman
All Computer Science and Engineering Research
Dynamic reconfiguration is explored in the context of I/O abstraction, a new programming model that defines the communication structure of a system in terms of connections among well-defined data interfaces for the modules in the system. The properties of I/O abstraction, particularly the clear separation of computation from communication and the availability of a module's state information, help simplify the reconfiguration strategy. Both logical and physical reconfiguration are discussed, with an emphasis on a new module migration mechanism that (1) takes advantage of the underlying I/O abstraction model, (2) avoids the expense and complication of state extraction techniques, (3) minimizes …
A Taxonomy Of Program Visualization Systems, Gruia-Catalin Roman, Kenneth C. Cox
A Taxonomy Of Program Visualization Systems, Gruia-Catalin Roman, Kenneth C. Cox
All Computer Science and Engineering Research
Program visualization may be viewed as a mapping from programs to graphical representations. This simple idea provides a formal framework for a new taxonomy of program visualization systems. The taxonomy is compared briefly against previous attempts to organize the program visualization field. The taxonomic principles and their motivation are explained in detail with reference to a number of existing systems, especially Balsa, Tango, and Pavane.
Efficiently Computing {Phi}-Nodes On-The-Fly, Ron K. Cytron, Jeanne Ferrante
Efficiently Computing {Phi}-Nodes On-The-Fly, Ron K. Cytron, Jeanne Ferrante
All Computer Science and Engineering Research
Recently, Static Single Assignment Form and Sparse Evaluation Graphs have been advanced for the efficient solution of program optimization problems. Each method is provided with an initial set of flow graph nodes that inherently affect a problem's solution. Other relevant nodes are those where potentially disparate solutions must combine. Previously, these so-called {phi}-nodes were found by computing the iterated dominance frontiers of the initial set of nodes, a process that could take worst case quadratic time with respect to the input flow graph. In this paper we present an almost-linear algorithm for detemining exactly the same set of {phi}-nodes.
Trainrec: A System For Training Feedforward & Simple Recurrent Networks Efficiently And Correctly, Barry L. Kalman, Stan C. Kwasny
Trainrec: A System For Training Feedforward & Simple Recurrent Networks Efficiently And Correctly, Barry L. Kalman, Stan C. Kwasny
All Computer Science and Engineering Research
TRAINREC is a system for training feedforward and recurrent neural networks that incorporates several ideas. It uses the conjugate-gradient method which is demonstrably more efficient than traditional backward error propagation. We assume epoch-based training and derive a new error function having several desirable properties absent from the traditional sum-of-squared-error function. We argue for skip (shortcut) connections where appropriate and the preference for a sigmoidal yielding values over the [-1,1] interval. The input feature space is often over-analyzed, but by using singular value decomposition, input patterns can be conditioned for better learning often with a reduced number of input units. Recurrent …
Logical Interference In Symmetric Connectionist Networks, Gadi Pinkas
Logical Interference In Symmetric Connectionist Networks, Gadi Pinkas
All Computer Science and Engineering Research
This work delineates the relation between logic and symmetric neural networks. The motivation is two-fold: 1) to study the capabilities and limitations of connectionist networks with respect to knowledge representatoin; and 2) to develop a new kind of inference negine that is expressive, massively parallel, capable of coping with nonmonotonic or noisy knowledge and capable of learning. The thesis shows that propositional logic can be implemented efficiently in networks where hidden units allow the representation of arbitrary constraints. An inference engine is constructed which can obtain its knowledge either by compiling symbolic rules or by learning them inductively from examples. …
Objective Evaluation Of Radiation Treatment Plans, Nilesh L. Jain, Michael G. Kahn
Objective Evaluation Of Radiation Treatment Plans, Nilesh L. Jain, Michael G. Kahn
All Computer Science and Engineering Research
The evaluation of radiation treatment plans involves making trade-offs among doses delivered to the tumor volumes and nearby normal tissues. Evaluating state-of-the-art three-dimensional (3D) plans is a difficult task because of the huge amount of planning data that needs to be deciphered. Multiattribute utility theory provides a methodology for specifying trade-offs and selecting the optimal plan from many competing lans. Using multiattribute utility theory, we are developing a clinically meaningful objective plan-evaluation model for 3D radiation treatment plans. Our model incorporates three of the factors involved in radiation treatment evaluation - treatment preferences of the radiation oncologist, clinical condition of …
The N-Body Problem: Distributed System Load Balancing And Performance Evaluation, Vasudha Govindan, Mark A. Franklin
The N-Body Problem: Distributed System Load Balancing And Performance Evaluation, Vasudha Govindan, Mark A. Franklin
All Computer Science and Engineering Research
In this paper, the N-body simulation problem is considered, its parallel implementation described, its execution time performance is modeled and compared with measured results, and two alternative load balancing algorithms for enhancing performance investigated. Parallel N-body techniques are widely applied in various fields and possess characteristics that challenge the computation and communication capabilities of parallel computing systems and are therefore good candidates for use as parallel benchmarks. Performance models may be used to estimate the performance of an algorithm on a given system, identify performance bottlenecks and study the performance implications of several algorithm are system enhancements. In this paper, …
The Programmers' Playground: I/O Abstraction For Heterogeneous Distributed Systems, Kenneth J. Goldman, Michael D. Anderson, Bala Swaminathan
The Programmers' Playground: I/O Abstraction For Heterogeneous Distributed Systems, Kenneth J. Goldman, Michael D. Anderson, Bala Swaminathan
All Computer Science and Engineering Research
I/O abstraction is offered as a new high-level approach to interprocess communication. Functional components of a concurrent system are written as encapsulated modules that act upon local data structures, some of which may be published for external use. Relationships among modules are specified by logical connections among their published data structures. Whenever a module updates published data, I/O takes place implicitly according to the configuration of logical connections. The Programmer's Playground, a software library and run-time system supporting I/O abstraction, is described. Design goals include high-level communication among programs written in multiple programming languages and the uniform treatment of discrete …
An Optimal Nonblocking Multicast Virtual Circuit Switch, Jonathan S. Turner
An Optimal Nonblocking Multicast Virtual Circuit Switch, Jonathan S. Turner
All Computer Science and Engineering Research
This paper describes an architecture for a multicast virtual circuit switch using cell recycling. This is the first nonblocking switch architecture that is optimal in both the switching network complexity and the amount of memory required for multicast address translation. Furthermore, it is optimal in the amount of effort required for multicast connection modification. This architecture makes it both technically and economically feasible to construct the large switching systems that will ultimately be needed for wide scale deployment of Broadband ISDN to residential users. In particular, we estimate that systems with tens of thousands of 620 Mb/s ports can be …
A Comparison Study Of The Pen And The Mouse In Editing Graphic Diagrams, Ajay Apte, Takayuki Dan Kimura
A Comparison Study Of The Pen And The Mouse In Editing Graphic Diagrams, Ajay Apte, Takayuki Dan Kimura
All Computer Science and Engineering Research
We report the results of an experiment comparing the merits of the pen and the mouse as drawing devices. For this study a pen-based graphic diagram editor equipped with a shape recognition algorithm was developed on GO's PenPoint operating system. A commercially available drawing program on NeXT was used for mouse-based editing. Twelve CS students were chosen as subjects and asked to draw four different diagrams of similar complexity: two with a pen and the other two with a mouse. The diagrams are chosen from the categories of dataflow visual language, Petri nets, flowcharts, and state diagrams. The results indicate …
Segmentation/Recognition Of Hand-Written Numeral Characters, Khalid Sherdil
Segmentation/Recognition Of Hand-Written Numeral Characters, Khalid Sherdil
All Computer Science and Engineering Research
This thesis describes a number of techniques for segmenting non-cursive handwritten digits into individual characters. It strongly emphasizes on a recognition-segmentation algorithm, which uses the linear regression method to recognize those strokes which consist of one or more straight-lined parts. A new method of sampling the pen data according to the pen speed, hence giving a more uniform points concentratino distribution, is also introduced. It is shown how several of our segmenting techniques, such as relative stroke lengths, relative stroke positions, order of stroke entry, stroke direction, stroke intersection, etc. can be combined to yield success results of about 95%.
Clocked And Asynchronous Instruction Pipelines, Mark A. Franklin, Tienyo Pan
Clocked And Asynchronous Instruction Pipelines, Mark A. Franklin, Tienyo Pan
All Computer Science and Engineering Research
Clocked (synchronous) and self-timed (asynchronous) represent the two prinicipal methodologies associated with timing control and synchronization of digital systems. In this paper, clocked and the asynchronous instruction pipelines are modeled and compared. The approach which yields the best performance is dependent on technology parameters, operating range and pipeline algorithm characteristics. Design curves are presented which permit selection of the best approach for a given application and technology environment.