Systems Analysis: The analysis of an activity, procedure, method, technique, or business to determine what must be accomplished and how the necessary operations may best be accomplished.Systems Biology: Comprehensive, methodical analysis of complex biological systems by monitoring responses to perturbations of biological processes. Large scale, computerized collection and analysis of the data are used to develop and test models of biological systems.Phycomyces: A genus of zygomycetous fungi in the family Mucoraceae, order MUCORALES, forming mycelia having a metallic sheen. It has been used for research on phototropism.Systems Theory: Principles, models, and laws that apply to complex interrelationships and interdependencies of sets of linked components which form a functioning whole, a system. Any system may be composed of components which are systems in their own right (sub-systems), such as several organs within an individual organism.Mucorales: An order of zygomycetous fungi, usually saprophytic, causing damage to food in storage, but which may cause respiratory infection or MUCORMYCOSIS in persons suffering from other debilitating diseases.Models, Biological: Theoretical representations that simulate the behavior or activity of biological processes or diseases. For disease models in living animals, DISEASE MODELS, ANIMAL is available. Biological models include the use of mathematical equations, computers, and other electronic equipment.Cone-Beam Computed Tomography: Computed tomography modalities which use a cone or pyramid-shaped beam of radiation.Metabolic Networks and Pathways: Complex sets of enzymatic reactions connected to each other via their product and substrate metabolites.Halobacterium salinarum: A species of halophilic archaea found in salt lakes. Some strains form a PURPLE MEMBRANE under anaerobic conditions.Geographic Information Systems: Computer systems capable of assembling, storing, manipulating, and displaying geographically referenced information, i.e. data identified according to their locations.Computer Simulation: Computer-based representation of physical systems and phenomena such as chemical processes.Models, Theoretical: Theoretical representations that simulate the behavior or activity of systems, processes, or phenomena. They include the use of mathematical equations, computers, and other electronic equipment.Gene Expression Profiling: The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.Gene Regulatory Networks: Interacting DNA-encoded regulatory subsystems in the GENOME that coordinate input from activator and repressor TRANSCRIPTION FACTORS during development, cell differentiation, or in response to environmental cues. The networks function to ultimately specify expression of particular sets of GENES for specific conditions, times, or locations.Metabolomics: The systematic identification and quantitation of all the metabolic products of a cell, tissue, organ, or organism under varying conditions. The METABOLOME of a cell or organism is a dynamic collection of metabolites which represent its net response to current conditions.Computational Biology: A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.Feedback, Physiological: A mechanism of communication with a physiological system for homeostasis, adaptation, etc. Physiological feedback is mediated through extensive feedback mechanisms that use physiological cues as feedback loop signals to control other systems.Proteomics: The systematic study of the complete complement of proteins (PROTEOME) of organisms.Proteome: The protein complement of an organism coded for by its genome.Mathematics: The deductive study of shape, quantity, and dependence. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 6th ed)Algorithms: A procedure consisting of a sequence of algebraic formulas and/or logical steps to calculate or determine a given task.Signal Transduction: The intracellular transfer of information (biological activation/inhibition) through a signal pathway. In each signal transduction system, an activation/inhibition signal from a biologically active molecule (hormone, neurotransmitter) is mediated via the coupling of a receptor/enzyme to a second messenger system or to an ion channel. Signal transduction plays an important role in activating cellular functions, cell differentiation, and cell proliferation. Examples of signal transduction systems are the GAMMA-AMINOBUTYRIC ACID-postsynaptic receptor-calcium ion channel system, the receptor-mediated T-cell activation pathway, and the receptor-mediated activation of phospholipases. Those coupled to membrane depolarization or intracellular release of calcium include the receptor-mediated activation of cytotoxic functions in granulocytes and the synaptic potentiation of protein kinase activation. Some signal transduction pathways may be part of larger signal transduction pathways; for example, protein kinase activation is part of the platelet activation signal pathway.Models, Neurological: Theoretical representations that simulate the behavior or activity of the neurological system, processes or phenomena; includes the use of mathematical equations, computers, and other electronic equipment.Models, Statistical: Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.Linear Models: Statistical models in which the value of a parameter for a given value of a factor is assumed to be equal to a + bx, where a and b are constants. The models predict a linear regression.Light: That portion of the electromagnetic spectrum in the visible, ultraviolet, and infrared range.Reproducibility of Results: The statistical reproducibility of measurements (often in a clinical context), including the testing of instrumentation or techniques to obtain reproducible results. The concept includes reproducibility of physiological measurements, which may be used to develop rules to assess probability or prognosis, or response to a stimulus; reproducibility of occurrence of a condition; and reproducibility of experimental results.Time Factors: Elements of limited time intervals, contributing to particular results or situations.Kinetics: The rate dynamics in chemical or physical systems.

*  Tractable Dataflow Analysis for Distributed Systems

The technique thus provides practical and tractable behavior analysis for preliminary designs of distributed systems. This ... we present a tractable dataflow analysis technique for the detection of unreachable states and actions in distributed systems. ... The technique is illustrated with case studies of a pump control system and an erroneous distributed program. Results from a ... It can be automated and applied to systems with arbitrary loops and nondeterministic structures. ...

*  Operating Systems News, Analysis, & Advice - InformationWeek

... analysis and advice on operating systems, from Microsoft Windows 8 to Apple iOS 7. ... 7.5% of users ran unpatched Windows operating systems in Q4 of 2016, up from 6.1 percent in Q3 of 2016, new study shows. ... At the same time, Apple's iOS lost some ground, and other mobile operating systems have all but disappeared.. ... OpenStack services and drivers require a robust and integrated Linux operating system for top-performing functionality.. ...

*  Software Requirements Analysis for Real-Time Process-Control Systems

... analysis procedures can be defined for particular state-machine modeling languages to provide semantic analysis of real-time ... Only analysis criteria that examine the behavioral description of the computer are considered. The behavior of the software is ... M.P.E. Heimdahl, B.E. Melhart, N.G. Leveson, M.S. Jaffe, "Software Requirements Analysis for Real-Time Process-Control Systems ... semantic analysis; software requirements; formal specification; process computer control; real-time systems ...

*  Systems Analysis Design : Marakas : 9780131014183

Systems Analysis Design by Marakas, 9780131014183, available at Book Depository with free delivery worldwide. ...

*  Analysis tool for parallel systems - IEEE Conference Publication

This paper describes a system for the creation of the traces of programs consisting of sets of parallel processes that ... Publications&sortType=asc_p_Sequence&filter=AND

*  Systems Analysis and Design - Kenneth E. Kendall, Julie E. Kendall - Google Books

Students will interview employees, observe office dynamics and practices, analyze prototypes, and review existing systems. All ... For Systems Analysis and Design courses found at the junior/senior undergraduate level or at the graduate level. HyperCase ( ... analysis and design ANALYSIS PROCESS analyze Anna catalog CHAPTER chart Cher child diagram Chip CONSULTING OPPORTUNITY context ... Analysis_and_Design.html?id=7QMlAQAAIAAJ&utm_source=gb-gplus-shareSystems Analysis and Design. ... model&dq=related:ISBN0444703632&source=gbs_similarbooks_r&hl=en

*  System Integration Market Analysis By Services (Infrastructure Integration, Application

System Integration Market Analysis By Services (Infrastructure Integration, Application Integration, Consulting),... ... System Integration Market Analysis By Services (Infrastructure Integration, Application Integration, Consulting), By End-Use ( ... System Integration Market Analysis By Services (Infrastructure Integration, Application Integration, Consulting), By End-Use ( ... Cyber-Physical System (CPS), and clinical integration, are anticipated to offer new opportunities for market growth. The system ...

*  Software for analysis of dynamical systems?

Software for analysis of dynamical systems?. Michel Loreau mloreau at Tue Jul 19 11:45:21 EST 1994 *Previous ... I am looking for a PC-software allowing analysis and simulation of nonlinear dynamical systems, for applications in theoretical ...

*  European Commission : CORDIS : Publications : On probabilistic risk analysis of technological systems

On probabilistic risk analysis of technological systems. Additional information. Authors: NATVIG B, University of Oslo, ...

*  The Art of Computer Systems Performance Analysis: Techniques for ... - Raj Jain - Google Books

Jeffrey P. Buzen Internationally recognized performance analysis expert '. it is the most thorough book available to date' -Dr ... ready-to-apply techniques for performance analysis. Highly recommended!' -Dr. Leonard Kleinrock University of California, Los ... The Art of Computer Systems Performance Analysis 'At last, a welcome and needed text for computer professionals who require ... Systems_Performance.html?id=CN1QAAAAMAAJ&utm_source=gb-gplus-shareThe Art of Computer Systems Performance Analysis. ...

*  Online Masters in Systems Engineering |

According to CNN Money, systems engineers are in extremely high demand. Engineers with advanced degrees are a hot commodity in an industry that needs trained professionals to supervise lower-level engineers. The ability to design, plan, and implement large projects also requires familiarity with numerous branches of the engineering spectrum. Systems engineers collaborate with physicists, mathematicians, architects, and computer scientists to problem-solve and design innovative solutions. Graduates of online master's degree programs in systems engineering also qualify for industry certification via the International Council on Systems Engineering.. Candidates for this master's degree program commonly earn a Master of Science in Systems Engineering degree. However, many schools also offer a Master of Engineering (M.E.) degree in Systems Engineering. An M.E. contains much of the same coursework as an M.S., but ...

*  CMS Innovation Center for Healthcare Systems Engineering | Northeastern University College of Engineering

Healthcare Systems Engineering (HSyE) will embed proven evidence-based industrial and systems engineering (ISE) improvement methods into local healthcare organizations, similar to as used in other complex industries.

*  Business Systems Analysis and Design <...

Business Systems Analysis and Design MSc Course - Accredited by the British Computer Society, analyse business systems within a real-world context.

*  Cell Systems Engineering

The Cell Systems Engineering (used to be Bioprocess Technology) group aims at improving the efficiency of bioprocesses by focussing on microbial performance. Knowledge of the metabolism of microbial cells is indispensable for (a) the optimisation of bioreactor operation, (b) the selection of the best micro-organism for a given biochemical conversion, (c) targeted or evolutionary improvement of an existing micro-organism and (d) design (metabolic engineering) of micro-organisms with new reactivities and/or morphology. The group has broad experience in modelling both bioreactor systems and metabolic networks that function under (pseudo) steady state conditions. More recently, the research interest has shifted towards developing new experimental hardware, analytical protocols and theoretical tools that allow the in vivo analysis of the responses of microbial cells to environmental and genetic disturbances. The new tools are applied to study the metabolic ...

*  Distributed Computing Systems Engineering MSc | Brunel University London

Our Distributed Computing Systems Engineering MSc is run in Germany. This course covers a range of essential topics related to distributed computing systems, enabling software engineers to achieve co-operation between distinct autonomous systems under constraints of cost and performance requirements.

*  SASAC - HomePage

South Africa, through the NRF, became a member of the International Institute for Applied Systems Analysis (IIASA) in 2007. A range of research and capacity building activities have since been developed by South African research partners in collaboration with IIASA. The National Research Foundation (NRF) and the Department of Science and Technology (DST) have taken a strategic decision to continue investing in and expanding activities around systems analysis over the coming decade in the context of the pivotal role that this type of research plays in solving global challenges and contributing to development under the new Southern African Systems Analysis Centre (SASAC), multi-year initiative.. ...

*  Gravitational systems engineering Inc., 888-539-8440 : Pumps, Compressors, Crashers, Flooders

Distributed generation,on-site generation, dispersed generation, embedded generation, decentralized generation, decentralized energy, distributed energy,

List of systems biology conferences: Systems biology is a biological study field that focuses on the systematic study of complex interactions in biological systems, thus using a new perspective (integration instead of reduction) to study them. Particularly from year 2000 onwards, the term is used widely in the biosciences.Zygomycota: Zygomycota, or zygote fungi, is a phylum of fungi. The name comes from zygosporangia, where resistant spherical spores are formed during sexual reproduction.Critical systems thinking: Critical systems thinking is a systems thinking framework, that wants to bring unity to the diversity of different systems approaches and advises managers how best to use them.Werner Ulrich (2003).Cokeromyces recurvatus: Cokeromyces recurvatus is a pathogenic fungus. Described as a new species in 1950, it was isolated from rabbit dung collected in Illinois.Matrix model: == Mathematics and physics ==PlanmecaFlux (metabolism): Flux, or metabolic flux is the rate of turnover of molecules through a metabolic pathway. Flux is regulated by the enzymes involved in a pathway.Halobacterium salinarum: Halobacterium salinarum is an extremely halophilic marine Gram-negative obligate aerobic archaeon. Despite its name, this microorganism is not a bacterium, but rather a member of the domain Archaea.List of geographic information systems software: GIS software encompasses a broad range of applications which involve the use of a combination of digital maps and georeferenced data. GIS software can be sorted into different categories.Interval boundary element method: Interval boundary element method is classical boundary element method with the interval parameters.
Von Neumann regular ring: In mathematics, a von Neumann regular ring is a ring R such that for every a in R there exists an x in R such that . To avoid the possible confusion with the regular rings and regular local rings of commutative algebra (which are unrelated notions), von Neumann regular rings are also called absolutely flat rings, because these rings are characterized by the fact that every left module is flat.Gene signature: A gene signature is a group of genes in a cell whose combined expression patternItadani H, Mizuarai S, Kotani H. Can systems biology understand pathway activation?Biological network: A biological network is any network that applies to biological systems. A network is any system with sub-units that are linked into a whole, such as species units linked into a whole food web.Metabolomics: Metabolomics is the scientific study of chemical processes involving metabolites. Specifically, metabolomics is the "systematic study of the unique chemical fingerprints that specific cellular processes leave behind", the study of their small-molecule metabolite profiles.PSI Protein Classifier: PSI Protein Classifier is a program generalizing the results of both successive and independent iterations of the PSI-BLAST program. PSI Protein Classifier determines belonging of the found by PSI-BLAST proteins to the known families.Proteomics Standards Initiative: The Proteomics Standards Initiative (PSI) is a working group of Human Proteome Organization. It aims to define data standards for proteomics in order to facilitate data comparison, exchange and verification.Plant Proteome Database: The Plant Proteome Database is a National Science Foundation-funded project to determine the biological function of each protein in plants.Sun Q, Zybailov B, Majeran W, Friso G, Olinares PD, van Wijk KJ.Bill Parry (mathematician)Clonal Selection Algorithm: In artificial immune systems, Clonal selection algorithms are a class of algorithms inspired by the clonal selection theory of acquired immunity that explains how B and T lymphocytes improve their response to antigens over time called affinity maturation. These algorithms focus on the Darwinian attributes of the theory where selection is inspired by the affinity of antigen-antibody interactions, reproduction is inspired by cell division, and variation is inspired by somatic hypermutation.Inverse probability weighting: Inverse probability weighting is a statistical technique for calculating statistics standardized to a population different from that in which the data was collected. Study designs with a disparate sampling population and population of target inference (target population) are common in application.Grow lightGeneralizability theory: Generalizability theory, or G Theory, is a statistical framework for conceptualizing, investigating, and designing reliable observations. It is used to determine the reliability (i.Temporal analysis of products: Temporal Analysis of Products (TAP), (TAP-2), (TAP-3) is an experimental technique for studyingBurst kinetics: Burst kinetics is a form of enzyme kinetics that refers to an initial high velocity of enzymatic turnover when adding enzyme to substrate. This initial period of high velocity product formation is referred to as the "Burst Phase".

(1/222) A taxonomy of health networks and systems: bringing order out of chaos.

OBJECTIVE: To use existing theory and data for empirical development of a taxonomy that identifies clusters of organizations sharing common strategic/structural features. DATA SOURCES: Data from the 1994 and 1995 American Hospital Association Annual Surveys, which provide extensive data on hospital involvement in hospital-led health networks and systems. STUDY DESIGN: Theories of organization behavior and industrial organization economics were used to identify three strategic/structural dimensions: differentiation, which refers to the number of different products/services along a healthcare continuum; integration, which refers to mechanisms used to achieve unity of effort across organizational components; and centralization, which relates to the extent to which activities take place at centralized versus dispersed locations. These dimensions were applied to three components of the health service/product continuum: hospital services, physician arrangements, and provider-based insurance activities. DATA EXTRACTION METHODS: We identified 295 health systems and 274 health networks across the United States in 1994, and 297 health systems and 306 health networks in 1995 using AHA data. Empirical measures aggregated individual hospital data to the health network and system level. PRINCIPAL FINDINGS: We identified a reliable, internally valid, and stable four-cluster solution for health networks and a five-cluster solution for health systems. We found that differentiation and centralization were particularly important in distinguishing unique clusters of organizations. High differentiation typically occurred with low centralization, which suggests that a broader scope of activity is more difficult to centrally coordinate. Integration was also important, but we found that health networks and systems typically engaged in both ownership-based and contractual-based integration or they were not integrated at all. CONCLUSIONS: Overall, we were able to classify approximately 70 percent of hospital-led health networks and 90 percent of hospital-led health systems into well-defined organizational clusters. Given the widespread perception that organizational change in healthcare has been chaotic, our research suggests that important and meaningful similarities exist across many evolving organizations. The resulting taxonomy provides a new lexicon for researchers, policymakers, and healthcare executives for characterizing key strategic and structural features of evolving organizations. The taxonomy also provides a framework for future inquiry about the relationships between organizational strategy, structure, and performance, and for assessing policy issues, such as Medicare Provider Sponsored Organizations, antitrust, and insurance regulation.  (+info)

(2/222) Reforming the health sector in developing countries: the central role of policy analysis.

Policy analysis is an established discipline in the industrialized world, yet its application to developing countries has been limited. The health sector in particular appears to have been neglected. This is surprising because there is a well recognized crisis in health systems, and prescriptions abound of what health policy reforms countries should introduce. However, little attention has been paid to how countries should carry out reforms, much less who is likely to favour or resist such policies. This paper argues that much health policy wrongly focuses attention on the content of reform, and neglects the actors involved in policy reform (at the international, national sub-national levels), the processes contingent on developing and implementing change and the context within which policy is developed. Focus on policy content diverts attention from understanding the processes which explain why desired policy outcomes fail to emerge. The paper is organized in 4 sections. The first sets the scene, demonstrating how the shift from consensus to conflict in health policy established the need for a greater emphasis on policy analysis. The second section explores what is meant by policy analysis. The third investigates what other disciplines have written that help to develop a framework of analysis. And the final section suggests how policy analysis can be used not only to analyze the policy process, but also to plan.  (+info)

(3/222) A social systems model of hospital utilization.

A social systems model for the health services system serving the state of New Mexico is presented. Utilization of short-term general hospitals is viewed as a function of sociodemographic characteristics of the population and of the supply of health manpower and facilities available to that population. The model includes a network specifying the causal relationships hypothesized as existing among a set of social, demographic, and economic variables known to be related to the supply of health manpower and facilities and to their utilization. Inclusion of feedback into the model as well as lagged values of physician supply variables permits examination of the dynamic behavior of the social system over time. A method for deriving the reduced form of the structural model is presented along with the reduced-form equations. These equations provide valuable information for policy decisions regarding the likely consequences of changes in the structure of the population and in the supply of health manpower and facilities. The structural and reduced-form equations have been used to predict the consequences for one New Mexico county of state and federal policies that would affect the organization and delivery of health services.  (+info)

(4/222) Systems properties of the Haemophilus influenzae Rd metabolic genotype.

Haemophilus influenzae Rd was the first free-living organism for which the complete genomic sequence was established. The annotated sequence and known biochemical information was used to define the H. influenzae Rd metabolic genotype. This genotype contains 488 metabolic reactions operating on 343 metabolites. The stoichiometric matrix was used to determine the systems characteristics of the metabolic genotype and to assess the metabolic capabilities of H. influenzae. The need to balance cofactor and biosynthetic precursor production during growth on mixed substrates led to the definition of six different optimal metabolic phenotypes arising from the same metabolic genotype, each with different constraining features. The effects of variations in the metabolic genotype were also studied, and it was shown that the H. influenzae Rd metabolic genotype contains redundant functions under defined conditions. We thus show that the synthesis of in silico metabolic genotypes from annotated genome sequences is possible and that systems analysis methods are available that can be used to analyze and interpret phenotypic behavior of such genotypes.  (+info)

(5/222) Growing an industry: how managed is TennCare's managed care?

In 1994 Tennessee moved virtually its entire Medicaid population and new eligibles into fully capitated managed care (TennCare). We analyze Tennessee's strategy, given limited existing managed care; and health plans' development of managed care infrastructure. We find signs of progress and developing infrastructure, but these are threatened by concerns over TennCare's financial viability and the state's commitment to TennCare's objectives. State policymakers seeking systems change need to recognize the substantial challenges and be committed to long-term investment.  (+info)

(6/222) Joint Commission International accreditation: relationship to four models of evaluation.

OBJECTIVE: To describe the components of the new Joint Commission International (JCI) accreditation program for hospitals, and compare this program with the four quality evaluation models described under the ExPeRT project (visitatie, ISO, EFQM, organizational accreditation). RESULTS: All the models have in common with the JCI program the use of explicit criteria or standards, and the use of external reviewers. The JCI program is clearly an organizational accreditation approach with evaluation of all the 'systems' of a health care organization. The JCI model evaluates the ability of an organization to assess and monitor its professional staff through internal mechanisms, in contrast with the external peer assessment used by the visitatie model. The JCI program provides a comprehensive framework for quality management in an organization, expanding the boundaries of the quality leadership and management found in the EFQM model, and beyond the quality control of the ISO model. The JCI organizational accreditation program was designed to permit international comparisons, difficult under the other models due to country specific variation. CONCLUSION: We believe that the organizational accreditation model, such as the international accreditation program, provides a framework for the convergence and integration of the strengths of all the models into a common health care quality evaluation model.  (+info)

(7/222) Stakeholder analysis: a review.

The growing popularity of stakeholder analysis reflects an increasing recognition of how the characteristics of stakeholders--individuals, groups and organizations--influence decision-making processes. This paper reviews the origins and uses of stakeholder analysis, as described in the policy, health care management and development literature. Its roots are in the political and policy sciences, and in management theory where it has evolved into a systematic tool with clearly defined steps and applications for scanning the current and future organizational environment. Stakeholder analysis can be used to generate knowledge about the relevant actors so as to understand their behaviour, intentions, interrelations, agendas, interests, and the influence or resources they have brought--or could bring--to bear on decision-making processes. This information can then be used to develop strategies for managing these stakeholders, to facilitate the implementation of specific decisions or organizational objectives, or to understand the policy context and assess the feasibility of future policy directions. Policy development is a complex process which frequently takes place in an unstable and rapidly changing context, subject to unpredictable internal and external factors. As a cross-sectional view of an evolving picture, the utility of stakeholder analysis for predicting and managing the future is time-limited and it should be complemented by other policy analysis approaches.  (+info)

(8/222) A stakeholder analysis.

This paper provides guidance on how to do a stakeholder analysis, whether the aim is to conduct a policy analysis, predict policy development, implement a specific policy or project, or obtain an organizational advantage in one's dealings with other stakeholders. Using lessons learned from an analysis of alcohol policy development in Hungary, it outlines issues to be considered before undertaking the stakeholder analysis concerning the purpose and time dimensions of interest, the time-frame and the context in which the analysis will be conducted. It outlines advantages and disadvantages of an individual or team approach, and of the use of insiders and outsiders for the analysis. It describes how to identify and approach stakeholders and considers the use of qualitative or quantitative data collection methods for estimating stakeholder positions, levels of interest and influence around an issue. A key message is that the process of data collection and analysis needs to be iterative; the analyst needs to revise and deepen earlier levels of the analysis, as new data are obtained. Different examples of ways of analyzing, presenting and illustrating the information are provided. Stakeholder analysis is a useful tool for managing stakeholders and identifying opportunities to mobilize their support for a particular goal. However, various biases and uncertainties necessitate a cautious approach in using it and applying its results.  (+info)


  • Technological advancements, such as Cloud Service Brokerage (CSB), Building Energy Management Systems (BEMS), Cyber-Physical System (CPS), and clinical integration, are anticipated to offer new opportunities for market growth. (


  • Automated behavior analysis is a valuable technique in the development and maintenance of distributed systems. (
  • The technique thus provides practical and tractable behavior analysis for preliminary designs of distributed systems. (
  • The students attending the workshop use and develop software and computational tools to learn about the behavior of biological systems. (


  • In this paper, we present a tractable dataflow analysis technique for the detection of unreachable states and actions in distributed systems. (
  • In an attempt to solve these natural disadvantages of the human analyzer, other methods of detection and analysis have been developed. (
  • Most importantly, in analyzing the data generated by this system, the prior art did not recognize the significance of utilizing the response of the transducer at its mounted natural frequency for the detection of machine flaws. (
  • Automated methods and systems for the detection and analysis of plaque in one or more regions of a patient's vasculature are described. (


  • Garrison & Havelka [5 7] ABSTRACT An apparatus for detecting defects or flaws in mechanical systems with rotating and/or reciprocating components, such as gears or bearings. (
  • Abstract-Biometric systems are increasingly deployed in networked environment, and issues related to interoperability are bound to arise as single vendor, monolithic architectures become less desirable. (
  • 1. 5th International Conference on Information Technology and Applications (ICITA 2008) Statistical Analysis Framework for Biometric System Interoperability Testing Shimon K. Modi, Stephen J. Elliott, Ph.D., and H. Kim, Ph.D., Eric P. Kukula Abstract-Biometric systems are increasingly deployed in architectures are designed. (


  • 7.5% of users ran unpatched Windows operating systems in Q4 of 2016, up from 6.1 percent in Q3 of 2016, new study shows. (


  • Only analysis criteria that examine the behavioral description of the computer are considered. (
  • By investigating system requirements, considering how information flows through it, and exploring the pitfalls that emerge within user hierarchies, at City we examine the business system as a whole. (


  • Although the technique does not exhaustively detect all possible errors, it detects nontrivial errors with a worst-case complexity quadratic to the system size. (
  • The a user with the fingerprint system is during the acquisition stage, complexity of these tasks has also increased proportionally with and this stage has the maximum probability of introducing advances in automated recognition. (


  • With the MSc Business Systems Analysis and Design course at City you can unravel a business system and prepare to work as an analyst within the industry. (


  • - For Systems Analysis and Design courses found at the junior/senior undergraduate level or at the graduate level. (
  • You will need a good undergraduate degree as well as the tenacity and patience to understand business systems and the ability to adapt to constant change. (
  • Every winter Lehman College holds an NSF-sponsored workshop on modeling complex systems, for undergraduate students. (


  • Using these criteria, analysis procedures can be defined for particular state-machine modeling languages to provide semantic analysis of real-time process-control software requirements. (
  • Software for analysis of dynamical systems? (
  • I am looking for a PC-software allowing analysis and simulation of nonlinear dynamical systems, for applications in theoretical ecology. (

market is expected to reach

  • NEW YORK , July 17, 2017 /PRNewswire/ -- The global system integration market is expected to reach USD 528.2 billion by 2025, according to a new report by Grand View Research, Inc. Increased spending on system integration solutions, by the key players in the market, has enriched the IT infrastructure and subsequently eliminated redundancies. (


  • With over sixteen years of experience in the field of computer systems performance, he is currently responsible for analyzing various design alternatives for DEC's networking architecture. (
  • The MSc in Business Systems Analysis and Design is not about developing algorithms and coding. (


  • OpenStack services and drivers require a robust and integrated Linux operating system for top-performing functionality. (


  • - The Art of Computer Systems Performance Analysis 'At last, a welcome and needed text for computer professionals who require practical, ready-to-apply techniques for performance analysis. (


  • Thus, the need of medical devices and instrument tracking systems is growing at high rate, which is expected to propel the growth of the sector. (
  • Thus, as indicated by the dashed area in FIG. 1, the response signal of the transducer at its natural (or ringing) frequency is excluded from analysis. (

data generated

  • 3. A fully automated method according to claim 1 wherein the processable data are generated by pre-processing raw data generated by the medical imaging system. (


  • Once they have this overview of the parts they can develop a unified view of the business system as a whole. (


  • There is a common misconception in building business systems: that users know their requirements. (
  • Business systems have a lot of underlying themes - what we're trying to do on this course is to give students a good, solid foundation in all of these themes, whether it's business processes, requirements or managing information. (


  • What is the effect on recognition system and the results were evaluated using the performance of the authentication process if an individual framework. (
  • Analysing a business system is a process that demands constant re-evaluation. (
  • 5. A fully automated method according to claim 1 wherein the plurality of stored tissue classifier elements are developed using known outcome data by a process selected from the group consisting of logistic regression, decision trees, non-parametric regression, Fisher discriminant analysis, Bayesian network modeling, and a fuzzy logic system. (


  • How will users interact with the system throughout the project life cycle? (


  • Students will interview employees, observe office dynamics and practices, analyze prototypes, and review existing systems. (


  • The present invention, however, recognizes that the natural frequency of the transducer contains information concerning flaws and makes maximum use of it by appropriate signal analysis. (


  • This postgraduate Business Systems Analysis programme has been designed to address this problem. (
  • Does the system meet the needs of the business now and will it be able to adapt in the future? (


  • The last decade has witnessed a huge increase in deployment of biometric systems, and while Index Terms-fingerprint recognition, biometrics, most of these systems have been single vendor systems the issue statistics, fingerprint sensor interoperability, analysis of interoperability is bound to arise as distributed architectures framework. (


  • RAJ JAIN is a Senior Consulting Engineer in the Distributed Systems Architecture and Performance Group at Digital Equipment Corporation. (
  • The results show that performance authenticates him/her-self on a different system of the same of interoperable fingerprint datasets is not easily modality? (


  • The growing requirement for eradicating heterogeneity, multiplicity, and fluctuating distinctiveness of vital applications & infrastructures is anticipated to fuel the system integration market over the forecast period. (


  • The framework was applied to the acquisition subsystem for a fingerprint recognition system and the results were evaluated using the framework. (

operating environment

  • It is inconvenient and expensive to remove the machinery from its normal operating environment to a test bench for analysis. (


  • in order to do this you will unpick the information infrastructure to find out if the system works. (


  • Interoperability issues affect every subsystem of the biometric system, and a statistical framework to evaluate interoperability is proposed. (