الصفحة 8
الصفحة 8
Information and communication technologies in tourism 2005 ; Proceedings of the International Conference in Innsbruck, Austria, 2005
The key objectives of this premier conference in ICT in travel and tourism are the dissemination of research findings and strong interaction among researchers and practitioners. The conference theme this year is "eBusiness is here ? – what is next?" The future is being explored by researchers from all perspectives – papers examine the basic architectures and systems underlying how toursim information is provided and how the marketplace is responding. Trip advisory research is now moving from the speculative to the sophisticated reflecting the rapidly changing individual skill sets, motivations and goals of today's tourist while an emerging collection of work is investigating the growing phenomenon of collaboration and community-building. A close examiniation of the 51 research papers will reveal the full extent of marketing-oriented research and show how strong the link is between ICT developments per se and business adoption and use of the new technologies and systems.
Information and communication technologies and real-life learning : New education for the knowledge society
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Inference for change point and post change means after a CUSUM test
This monograph is the first to systematically study the bias of estimators and construction of corrected confidence intervals for change-point and post-change parameters after a change is detected by using a CUSUM procedure. Researchers in change-point problems and sequential analysis, time series and dynamic systems, and statistical quality control will find that the methods and techniques are mostly new and can be extended to more general dynamic models where the structural and distributional parameters are monitored. Practitioners, who are interested in applications to quality control, dynamic systems, financial markets, clinical trials and other areas, will benefit from case studies based on data sets from river flow, accident interval, stock prices, and global warming. Readers with an elementary probability and statistics background and some knowledge of CUSUM procedures will be able to understand most results as the material is relatively self-contained.The exponential family distribution is used as the basic model that includes changes in mean, variance, and hazard rate as special cases. There are fundamental differences between the sequential sampling plan and fixed sample size. Although the results are given under the CUSUM procedure, the methods and techniques discussed provide new approaches to deal with inference problems after sequential change-point detection, and they also contribute to the theoretical aspects of sequential analysis. Many results are of independent interests and can be used to study random walk related stochastic models.
Industrial competitiveness : Cost reduction
The objectives of industrial management are: - Implementation of the policy adopted by the owners or the board of directors - Optimum return on investment - Efficient utilization of Men, Machine and Money. In other words, industry must make profit. Manufacturing represents only one aspect of the activities of industrial management. Present-day manufacturing methodology does not consider making profit as their primary objective. The manufacturing process requires the knowledge of many disciplines, such as design, process planning, costing, marketing, sales, customer relations, costing, purchasing, bookkeeping, inventory control, material handling, shipping, and so on.
Industrial applications of semantic web ; Proceedings of the 1st International IFIP/WG12.5 Working Conference on Industrial Applications of Semantic Web, August 25-27, 2005 Jyvaskyla, Finland
The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Indian Life and Health Insurance Industry : A Marketing Approach
Due to its massive population, sound economic fundamentals, dynamic improvements in the insurance regulatory framework and an increasing awareness amongst Indians about the relevance of insurances, India offers extensive opportunities for market entry and expansion in the insurance industry. "The book reveals insightful ideas about the Indian insurance industry along with a discussion on the best practices of the marketing mix. Novi's impressive thesis, which forms the basis of this book, prompted me to contribute to her research with an India perspective. I am sure that this book will be an important reference material for emerging markets with similar growth dynamics."
Income Elasticity and Economic Development : Methods and Applications
Income Elasticity and Economic Development: Methods and Applications is mainly concerned with methods of estimating income elasticity. This field is connected with economic development that can be achieved by reducing income inequality. This is highly relevant in today's world, where the gap between rich and poor is widening with the growth of economic development. Income Elasticity and Economic Development: Methods and Applications provides a good example in showing how to calculate income elasticity, using a number of methods from widely available grouped data. Some of the techniques presented here can be used in a wide range of policy areas in all developed, developing and under-developed countries. Policy analysts, economists, business analysts and market researchers will find this book very useful.
Improving Healthcare : A Dose of Competition
Improving Healthcare: A Dose of Competition systematically examines the American health care system from a competition-oriented perspective. The volume surveys the performance of each major sector of the health care system, and identifies impediments to more effective competition. Improving Healthcare examines such issues as competition v. regulation, public and private sector approaches to health care financing, cross-subsidies, licensure, provider market concentration, financial and clinical integration, payment for performance, quality, pharmacy benefit managers, direct-to-consumer advertising of pharmaceuticals, certificates of need, mandates, unionization, the significance of organizational status (nonprofit v. for-profit), and the role of antitrust and consumer protection in health care. It offers concrete recommendations to improve the quality and cost-effectiveness of the American health care marketplace.
Implementing semantic web services : The SESA framework
Service-oriented computing has become one of the predominant factors in IT research and development efforts over the last few years. In spite of several standardization efforts that advanced from research labs into industrial-strength technologies and tools, there is still much human effort required in the process of finding and executing Web services.
Implementing Models in Quantitative Finance : Methods and Cases
This book puts numerical methods into action for the purpose of solving concrete problems arising in quantitative finance. Part one develops a comprehensive toolkit including Monte Carlo simulation, numerical schemes for partial differential equations, stochastic optimization in discrete time, copula functions, transform-based methods and quadrature techniques. The content originates from class notes written for courses on numerical methods for finance and exotic derivative pricing held by the authors at Bocconi University since the year 2000. Part two proposes eighteen self-contained cases covering model simulation, derivative valuation, dynamic hedging, portfolio selection, risk management, statistical estimation and model calibration. It encompasses a wide variety of problems arising in markets for equity, interest rates, credit risk, energy and exotic derivatives.
Implementing machine learning for finance : A systematic approach to predictive risk and performance analysis for investment portfolios
Introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. You will: Understand the fundamentals of the financial market and algorithmic trading, as well as supervised and unsupervised learning models that are appropriate for systematic investment portfolio management / Know the concepts of feature engineering, data visualization, and hyperparameter optimization / Design, build, and test supervised and unsupervised ML and DL models / Discover seasonality, trends, and market regimes, simulating a change in the market and investment strategy problems and predicting market direction and prices / Structure and optimize an investment portfolio with preeminent asset classes and measure the / underlying risk
Impacts and Risk Assessment of Technology for Internet Security : Enabled Information Small-Medium Enterprises (TEISMES)
This emerging economy is bringing with it new forms of TEI intermediation, online businesses, virtual supply chains, rapidly changing internet-electronic commerce technologies, increasing knowledge intensity, and unprecedented sensitivity of the time-to-market by customers. Impacts and Risk Assessment of Technology for Internet Security Enabled Information Small-Medium Enterprises (TEISMES) also identifies ways of minimizing risk liability of TEISME business operations as a result of their dependence on TEI (Internet-eC). The rapid evolution and spread of information technology (IT) during the last few years is challenging SMEs, governments and internet security professionals to rethink the very nature of risk exposure. Impacts and Risk Assessment of Technology for Internet Security Enabled Information Small-Medium Enterprises (TEISMES) is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
Impact of artificial intelligence on organizational transformation
Covers the areas like artificial intelligence & its impact on professions, as well as machine learning algorithms and technologies. The context of applications of AI in business process innovation primarily includes new business models, AI readiness and maturity at the organizational, technological, financial, and cultural levels. The book has extensive details on machine learning and the applications such as robotics, blockchain, Internet of Things. Also discussed are the influence of AI on financial strategies and policies, human skills & values, procurement innovation, production innovation, AI in marketing & sales platforms.
Immigration Policy and the Labor Market : The German Experience and Lessons for Europe
German and European immigration policies have only recently begun to cope with the inevitable: growing labor demand in the face of high unemployment and a shrinking labor force due to demographic change. Despite the implementation of Germany's first immigration act and several European initiatives towards legal harmonization at the EU level, an actively controlling immigration policy, which would be needed to master the challenges ahead, is not yet in sight. Against this background, the book draws conclusions from the German history of immigration policy. It analyzes the country's future demand for immigration and develops an economic model for the effective selection and integration of labor migrants that could provide the foundation for a joint European immigration strategy.
Ifo Survey Data in Business Cycle and Monetary Policy Analysis
The business surveys of the Ifo Institute (short for Information and Forschung) are internationally renowned. Every month close to 7,000 enterprises are questioned on their short-term planning and their appraisals of the actual and future business situation. The confidence indicator frequently referred to as the Ifo Business Climate Index is derived from the responses to this Ifo Business Survey. While the Index attracts a lot of attention by practitioners (especially financial market analysts), the use and empirical exploitation of this and other components of Ifo business surveys is – amongst academics – still relatively scarce. The present volume, based on a conference entitled "The Academic Use of Ifo Survey Data", gives examples of timely research questions which can be addressed by qualitative survey data like the monthly Ifo Business Survey. It shows that this type of real-time data can be very informative when it comes to forecasting real economic activity or exploring monetary policy transmission.
Identities at Work
This edited volume on Identities at Work brings together international theory and empirical research that deals with continuity and change of identity formation processes at work under conditions of modern working processes and labour market flexibility. Modern work processes in manufacturing and service organisations increasingly rely upon responsible and competent employees who are willing and able to engage in the tasks that their job requires and in continuous learning. That employees are able to engage in taking up new forms of responsibility and master complex work situations is, on the one hand, dependent upon employees’ skills and how well they are trained. On the other hand, it requires that employees identify with what they do and commit to their work and the performance of tasks.
Hydrogen-based Autonomous Power Systems : Techno-economic Analysis of the Integration of Hydrogen in Autonomous Power Systems
Hydrogen-based Autonomous Power Systems contains a review of hydrogen technologies suitable for RES-based autonomous power systems, presents already-existing demonstration hydrogen-based power systems, and provides concrete examples for the integration of hydrogen technologies into existing autonomous power systems.
Hydra = هايدرا
Forgery involves the use of advanced algorithms to replicate and distribute deceptive products across various categories, casting shadows of doubt on the authenticity of goods. Although counterfeit detection can be useful in identifying and mitigating fraudulent activities, the widespread presence of counterfeit goods poses significant dangers, undermining consumer confidence and brand reputation. To underscore the severity of this issue, consider instances such as fake luxury items flooding the market, counterfeit electronics compromising safety, or bogus pharmaceuticals endangering health. Addressing this issue is critical in maintaining the integrity of brands, safeguarding consumer well-being, and preserving trust in the marketplace. The ability to distinguish between authentic and counterfeit products is paramount in ensuring accurate decision-making and preventing the harmful consequences of fraudulent goods. This technological context underscores the urgency of developing and deploying cutting-edge solutions to combat the evolving landscape of product forgery. Hydra emerges as a robust solution, utilizing a comprehensive approach that includes extracting posts and images from search engine tools, and is integrated with AI models to detect forgery. The Hydra platform not only provides users with a powerful tool for detecting counterfeit products but also offers tangible benefits such as enhanced brand security, increased awareness about the prevalence of forgeries, and the opportunity to actively participate in a real-time community.
Human physiology
Clear explanations and a solid learning framework based on integrating clinically germane information with knowledge of the body’s physiological processes have made Human Physiology a market-leading text.
Human and organisational factors : Practices and strategies for a changing world
This book addresses several questions regarding the implementation of human and organisational factors (HOF) so that recent improvements in industrial safety can be built upon.
