الصفحة 4
الصفحة 4
Euro-Par 2005 Parallel Processing ; 11th International Euro-Par Conference, Lisbon, Portugal, August 30 - September 2, 2005, Proceedings
This book constitutes the refereed proceedings of the 11th International Conference on Parallel Computing, Euro-Par 2005, held in Lisbon, Portugal, in August/September 2005. The 120 revised papers presented together with 4 invited papers were carefully reviewed and selected from 388 submissions. The papers are organized in topical sections on support tools and environments, performance prediction and evaluation, scheduling and load balancing, compilers for high performance, parallel and distributed databases, data mining and knowledge discovery, grid and cluster computing: models, middleware and architectures, parallel computer architecture and instruction distributed systems and algorithms, parallel programming: models, methods, and languages, parallel numerical algorithms.
Earthquakes, Tsunamis and Nuclear Risks : Prediction and Assessment Beyond the Fukushima Accident
This book covers seismic probabilistic risk assessment (S-PRA) and related studies which have become more important to increase the safety of nuclear facilities against earthquakes and tsunamis in the face of the many uncertainties after the Fukushima accident. The topics are (1) Active faults and active tectonics important for seismic hazard assessment of nuclear facilities,(2) Seismic source modeling and simulation and modeling techniques indispensable for strong ground motion prediction, and (3) PRA with external hazard and risk communication.
Earthquakes : Simulations, Sources and Tsunamis
This book includes a variety of studies that focus on the modeling of tsunamis and earthquakes, both large-scale simulation and visualization programs, as well as detailed models of small-scale features. Particular attention is paid to computational techniques, languages, and hardware that can be used to facilitate data analysis, visualization, and modeling. Also included are studies of several earthquake forecasting techniques and associated comparisons of their results with historic earthquake data. Finally, the volume ends with theoretical analyses of statistical properties of seismicity by internationally recognized experts in the field. This volume will be of particular interest to researchers interested in the multiscale simulation and visualization of large earthquakes and tsunamis.
Dynamic Vision for Perception and Control of Motion
The book uniquely details an approach to real-time machine vision for the understanding of dynamic scenes, viewed from a moving platform that begins with spatio-temporal representations of motion for hypothesized objects whose parameters are adjusted by well-known prediction error feedback and recursive estimation techniques. A coherent and up-to-date coverage of the subject matter is presented, with the machine vision and control aspects detailed, along with reports on the mission performance of the first vehicles using these innovative techniques built at Munich. Pointers to the future development and likely applications of this hugely important field of research are presented.
Distributed computing and internet technology ; 17th International Conference, ICDCIT 2021, Bhubaneswar, India, January 7–10, 2021, Proceedings
This book constitutes the proceedings of the 17th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, held in Bhubaneswar, India, in January 2021. The 13 full papers presented together with 4 short papers were carefully reviewed and selected from 99 submissions. The papers were organized in topical sections named: invited talks, cloud computing and networks, distributed algorithms, concurrency and parallelism, graph algorithms and security, social networks and machine learning, and short papers.
Discovering Biomolecular Mechanisms with Computational Biology
In this anthology, leading researchers present critical reviews of methods and high-impact applications in computational biology that lead to results that also non-bioinformaticians must know to design efficient experimental research plans. Discovering Biomolecular Mechanisms with Computational Biology also summarizes non-trivial theoretical predictions for regulatory and metabolic networks that have received experimental confirmation. Discovering Biomolecular Mechanisms with Computational Biology is essential reading for life science researchers and higher-level students that work on biomolecular mechanisms and wish to understand the impact of computational biology for their success.
Direct and Large-Eddy Simulation VI ; Proceedings of the Sixth International ERCOFTAC Workshop on Direct and Large-Eddy Simulation, held at the University of Poitiers, September 12-14, 2005
this workshop addressed numerous theoretical and physical aspects of transitional and turbulent flows. At an applied level it contributed to the solution of problems related to energy production, transportation and the environment. Since the prediction and analysis of fluid turbulence and transition continues to challenge engineers, mathematicians and physicists, DLES-6 covered a large range of topics, from the more technical ones like numerical methods, initial and inflow conditions, the coupling of RANS and LES zones, subgrid and wall modelling to topics with a stronger focus on flow physics such as aero-acoustics, compressible and geophysical flows, flow control, multiphase flow and turbulent combustion, to quote only a few.
Diabetes genetic finder & predictor = أداة البحث والتنبؤ الجيني لمرض السكري
The diabetes genetic finder & predictor app is a comprehensive, user-friendly solution that revolutionizes diabetes care. This powerful app integrates a wide array of features designed to empower diabetes patients and enhance their overall well-being. A standout feature of the app is its ability to predict the risk of hereditary diabetes diseases, offering users early detection and intervention opportunities. It also predicts general diabetes risk, diabetic foot complications, and retinopathy. Users can monitor their blood sugar levels, heart rate, and oxygenation either manually or through smart watch integration. Additionally, users can enter their diabetes type and HbA1c levels.The app's medication management feature simplifies the complex task of tracking and organizing medications, providing timely reminders to ensure adherence to treatment plans. Users can scan QR codes on products to check their sugar content and suitability, schedule their medications, generate reports for specific periods, and access a comprehensive list of frequently asked questions about diabetes..
Developing Tsunami-Resilient Communities : The National Tsunami Hazard Mitigation Program
Tsunamis remain an ever-present threat to lives and property along the coasts of most of the world’s oceans. Because of the geographical extent of U.S. coastlines, an earthquake in Alaska can generate a local tsunami for Alaskans and, hours later, a distant tsunami for communities in Hawaii and along the Pacific Coast . This volume chronicles the development and accomplishments of a joint State/Federal partnership that was forged to reduce tsunami hazards along U.S. coastlines – the National Tsunami Hazard Mitigation Program. By integrating hazard assessment, warning guidance, and mitigation activities, the program has created a roadmap and a set of tools to develop communities more resilient to local and distant tsunamis. Among the set of tools are tsunami forecasting, educational experiments, early alerting systems, and design guidance for tsunami-resilient communities. Part of this book has already been published in a recent journal issue.
Developing a distributed medical system
Our project is a distributed medical system that is used by patients and multiple medical sectors such as doctors, pharmacists, analysis labs, hospitals, and medical insurance companies. The aim of the project is to add and store all the patient’s medical data in our system, such as previous treatments and past medical records from previous doctors, previous prescriptions and older lab test’s results, in addition, the insurance companies will have the ability to check on the medical treatment of its customers to do the necessary procedures needed for the them to perform their work. All of our actors are working in a secure and synchronized system in order to provide the best medical results possible, each actor has its own transactions to do in our system and can only manage and access the data allowed for him to perform his required job.
Demystifying Climate Models : A Users Guide to Earth System Models
This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models.
Demographic Change in Germany : The Economic and Fiscal Consequences
Just as one might be inclined to thinkthat every thing about demographic change has been already said and heard, a new dimension opens up. In fact, this is what makes the topic so fascinating. There is nothing trivial any longer about children, families, age, and care. Europe is undergoing profound demo graphic change. Each generation of children is quantitatively smaller than that of their parents; the propor tion of children and adolescents among the population is becoming smaller and smaller, while that of the elde rlyi s growing inexorably. Fewer and fewer people are marrying; more and more marriages are failing. Manyar eas of our society are affected by this; just think about the challenges faced by the social security systems as a result of demographic ageing. Politi cians and society are forced to adju st todem ographic change. Many people in Europe are concerned about these changes and are looking to politicians and researchers for solutions. Predictions are never easy, especially not about the future.
Deep Learning and its Applications
Presents an introduction to deep learning and various applications of deep learning such as recommendation systems, text recognition, diabetic retinopathy prediction of breast cancer, prediction of epilepsy, sentiment, fake news detection, software defect prediction and protein function prediction.
Data Analysis Using the Method of Least Squares : Extracting the Most Information from Experiments
The preferred method of data analysis of quantitative experiments is the method of least squares. Often, however, the full power of the method is overlooked and very few books deal with this subject at the level that it deserves. The purpose of Data Analysis Using the Methods of Least Squares is to fill this gap and include the type of information required to help scientists and engineers apply the method to problems in their special fields of interest.Linear and non-linear least squares, the use of experimental error estimates for data weighting, procedures to include prior estimates, methodology for selecting and testing models, prediction analysis, and some non-parametric methods are discussed.
Criminal Dilemmas : Understanding and Preventing Crime
Fighting crime breeds emotional responses which often lead to counter-productive government policy. To allow a rational analysis of these important concerns, this book employs the thinking of economics, political science, and game theory to develop new perspectives on crime and its causes. A basic assumption is that the criminal is a rational actor who makes decisions based on his or her personal expected gains and costs. By using this assumption, predictions about behaviour as well as emotional concerns such as prostitution and gun control are given a theoretical perspective. By understanding the strategic variables which cause, for example, gang wars and drug sales, we are better equipped to design effective public policy.
Cost Accounting for Shared IT Infrastructures
Distributed client/server architectures are the technological backbone of today’s data centres. A usage-based allocation of infrastructure costs to business processes or users is often not possible as the necessary resource consumption measurements incur too much overhead. Reinhard Brandl proposes a method to derive estimates for the expected resource consumption of customer-oriented services during standard load tests. This facilitates the determination of usage-based cost allocation keys significantly. He implements the concept in a software tool kit and evaluates it successfully in a set of experiments with multi-tier database applications. In particular, he uses the determined consumption estimates as input parameters for Queuing Network Models which lead to highly accurate performance predictions. Finally, he analyzes how the method can be integrated into existing IT processes at the BMW Group.
Continuous-Time Sigma-Delta A/D Conversion : Fundamentals, Performance Limits and Robust Implementations
This comprehensive book deals with all relevant aspects arising during the analysis, design and simulation of the now widespread continuous-time implementations of sigma-delta modulators. The results of several years of research by the authors in the field of CT sigma-delta modulators are covered, including the analysis and modeling of different CT modulator architectures, CT/DT loop filter synthesis, a detailed error analysis of all components, and possible compensation/correction schemes for the non-ideal behavior in CT sigma-delta modulators. Guidance for obtaining low-power consumption and several practical implementations are also presented. It is shown that all the proposed new theories, architectures and possible correction techniques have been confirmed by measurements on discrete or integrated circuits. Quantitative results are also provided, thus enabling prediction of the resulting accuracy.
Constrained Control and Estimation : An Optimisation Approach
Using the principal tools of prediction and optimisation, this work gives the examples of how to deal with constraints, placing emphasis on model predictive control. It contains results that combine a number of methods, enabling you to build on your background in estimation theory, linear control, stability theory and state-space methods.
Concrete composite columns : Behavior and design
Moves beyond existing resources, to study the relationship between existing composite structures and design methods for the sectional form of concrete composite structure. Chapters cover the failure criteria of concrete; confined concrete types; models including axial stress prediction, analysis oriented constitutive, and design-oriented constitutive models; the design and analysis of section form; double confined concrete; seismic behaviors of concrete composite columns; and the seismic design of concrete composite columns.
Computer Performance Engineering ; 5th European Performance Engineering Workshop, EPEW 2008, Palma de Mallorca, Spain, September 24-25, 2008. Proceedings
This book constitutes the proceedings of the Fifth European Performance Engineering Workshop, EPEW 2008, held in Palma de Mallorca, Spain, in September 24-25, 2008.
