Scale modeling can play an important role in R&D. When engineers receive some ideas in new product development, they can test how the new design looks by bui- ing scale models and they can get an actual feeling with the prototype through their imagination. Professor Emori often said: “When children play with a toy airplane, their mind is wondering about the prototype airplane which they haven’t ridden. ” Children can use the scale model airplane as a means to enter into an imagi- tive world of wonder by testing in their own way how the actual airplane might function, how the actual airplane can maneuver aerodynamically, what might be the actual sound of a jet engine, how to safely land the actual airplane, and so on. This imagination that scale models can provide for children will help them later develop professional intuition. Physical scale models can never be entirely succe- fully replaced by computer screens where virtual models are displayed and fancy functions are demonstrated. Not only children but also adults can learn things by actually touching things only offered by physical models, helping all of us develop imagination and feeling eventually leading toward Kufu. Einstein’s famous “thought experiments [11],” which helped him to restructure modern physics may possibly and effectively be taught by letting researchers play with scale models!? References 1. I. Emori, K. Saito, and K. Sekimoto, Mokei Jikken no Riron to Ouyou (Scale Models in Engineering: Its Theory and Application), Gihodo, Tokyo, Third Edition, 2000.

Many approaches have been proposed to solve the problem of finding the optic flow field of an image sequence. Three major classes of optic flow computation techniques can discriminated (see for a good overview Beauchemin and Barron IBeauchemin19951): gradient based (or differential) methods; phase based (or frequency domain) methods; correlation based (or area) methods; feature point (or sparse data) tracking methods; In this chapter we compute the optic flow as a dense optic flow field with a multi scale differential method. The method, originally proposed by Florack and Nielsen [Florack1998a] is known as the Multiscale Optic Flow Constrain Equation (MOFCE). This is a scale space version of the well known computer vision implementation of the optic flow constraint equation, as originally proposed by Horn and Schunck [Horn1981]. This scale space variation, as usual, consists of the introduction of the aperture of the observation in the process. The application to stereo has been described by Maas et al. [Maas 1995a, Maas 1996a]. Of course, difficulties arise when structure emerges or disappears, such as with occlusion, cloud formation etc. Then knowledge is needed about the processes and objects involved. In this chapter we focus on the scale space approach to the local measurement of optic flow, as we may expect the visual front end to do. 17. 2 Motion detection with pairs of receptive fields As a biologically motivated start, we begin with discussing some neurophysiological findings in the visual system with respect to motion detection.

Issues in Bioethics and the Concept of Scale arose from the author's deep and committed interest in ecology, moral philosophy, and medicine, and how they are interrelated. William A. Cook expands on the recognition that spatial and temporal scale characteristics are factors in the understanding and modeling of ecological systems and in decision-making around ecological and environmental issues, and introduces this dynamic to the field of bioethics. The concept of scale, from hierarchy theory as it is used in ecology to deal with the complexity and interrelationships of systems, is explored and identified as a factor and potential source of conflict in the field of bioethics. This notion of scale is conceptually useful for considering the complexity of some bioethical issues.

Economic globalization requires data to be available globally. With most data stored in file systems, solutions to make this data globally available become more important. Files that are in file systems can be protected or shared by replicating these files to another file system that is in a remote location. The remote location might be just around the corner or in a different country. Therefore, the techniques that are used to protect and share files must account for long distances and slow and unreliable wide area network (WAN) connections. IBM® Spectrum Scale is a scalable clustered file system that can be used to store all kinds of unstructured data. It provides open data access by way of Network File System (NFS); Server Message Block (SMB); POSIX Object Storage APIs, such as S3 and OpenStack Swift; and the Hadoop Distributed File System (HDFS) for accessing and sharing data. The IBM Aspera® file transfer solution (IBM Aspera Sync) provides predictable and reliable data transfer across large distance for small and large files. The combination of both can be used for global sharing and protection of data. This IBM RedpaperTM publication describes how IBM Aspera Sync can be used to protect and share data that is stored in IBM SpectrumTM Scale file systems across large distances of several hundred to thousands of miles. We also explain the integration of IBM Aspera Sync with IBM Spectrum ScaleTM and differentiate it from solutions that are built into IBM Spectrum Scale for protection and sharing. We also describe different use cases for IBM Aspera Sync with IBM Spectrum Scale.

IIASA Proceedings Series, Volume 15: Scale in Production Systems focuses on the applications of scale in the industries. The book is based on a workshop held at the International Institute for Applied Systems Analysis in June 1979 as part of the research program of the Management and Technology Area. The selection first underscores the problems of scale and revision of approaches in the evaluation of scale economies in industry. Discussions focus on empirical perspectives on improving appraisals of scale effects; analytical limitations of past theory and empirical findings; interpretation of analytical findings; and approaches to the study of scale problems. The text then takes a look at the problems of scale in international air transportation and optimal size of subcritical fossil-fueled electric generating units. The publication ponders on the implications of plant scale in the chemical industry, with particular reference to ethylene plants, and scale, technology, and the learning curve. The evolution of manufacturing systems and sources of the learning curve are identified. The manuscript then elaborates on the aspects of determining the scale of an organization; problems of determining production scale in Soviet industry; and industry scale, free trade, and protection. The selection is a dependable reference for readers interested in the use of scale in production systems.

Chemical Projects Scale Up: How to Go from Laboratory to Commercial covers the chemical engineering steps necessary for taking a laboratory development into the commercial world. The book includes the problems associated with scale up, equipment sizing considerations, thermal characteristics associated with scale up, safety areas to consider, recycling considerations, operability reviews and economic viability. In addition to the process design aspects of commercializing the laboratory development, consideration is given to the utilization of a development in an existing plant. - Explains how heat removal for exothermic reactions can be scaled up - Outlines how a reactor can be sized from batch kinetic data - Discusses how the plant performance of a new catalyst can be evaluated - Presents how the economics of a new product/process can be developed - Discusses the necessary evaluation of recycling in commercial plants

This broad review is the first to gather comprehensive information on the complete contemporary range of toxicity testing procedures and hazard assessment procedures, which is normally scattered and difficult to find. The two-volume set provides a consistent, template-based approach, linking relevant information on background, theory and practice to each bioassay. Volume 2 examines hazard assessment schemes. Includes extensive glossary.

Although not as glamorous as vehicles such as the Panther and Tiger, the Panzer IV formed an extremely important part of the German armoured forces during World War II. This title provides detailed 1/72-scale build articles on a Panzer IV Ausf. H in winter camouflage, a Jagdpanzer IV, a late-version Sturmpanzer IV, a final version Sturmgeschütz IV, and a Flakpanzer IV Wirbelwind. Conversions, interior detailing, kit-bashing, adding aftermarket figures and parts, finishing and weathering, plus special scale techniques are all covered in detail. A gallery section also features Panzer IV Ausf. H, Panzer IV L/70 (V), and Panzer IV L/70 (A) variants.

This research evaluates the impacts of land degradation on rural development and migration, using a comparative-analysis platform and quantitative and qualitative approaches, based on data from empirical investigations in six rural communities of Tapachula, Chiapas. The results show that deforestation, heavy rains and extreme weather events are the main determinants of land degradation, and that land degradation, smallholder farms’ income and outmigration are highly correlated. In addition, they portray a new migration dynamic, from rural areas in the highlands directly to urban centers in the US, and demonstrate that the poverty marginalization context contributes substantially to global migration flows. Despite the harsh labour conditions and the poor economic basis in the area, temporary Guatemalan workers rapidly replace the out-migrated local labour force on coffee plantations and small farms, giving evidence of their life at the fringe of the globalized economy.

In this book, theory of large scale optimization is introduced with case studies of real-world problems and applications of structured mathematical modeling. The large scale optimization methods are represented by various theories such as Benders’ decomposition, logic-based Benders’ decomposition, Lagrangian relaxation, Dantzig –Wolfe decomposition, multi-tree decomposition, Van Roy’ cross decomposition and parallel decomposition for mathematical programs such as mixed integer nonlinear programming and stochastic programming. Case studies of large scale optimization in supply chain management, smart manufacturing, and Industry 4.0 are investigated with efficient implementation for real-time solutions. The features of case studies cover a wide range of fields including the Internet of things, advanced transportation systems, energy management, supply chain networks, service systems, operations management, risk management, and financial and sales management. Instructors, graduate students, researchers, and practitioners, would benefit from this book finding the applicability of large scale optimization in asynchronous parallel optimization, real-time distributed network, and optimizing the knowledge-based expert system for convex and non-convex problems.