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DDSCAT 7.3 is a freely available open-source Fortran-90 software package applying the “discrete dipole approximation” (DDA) to calculate scattering and absorption of electromagnetic waves by targets with arbitrary geometries and complex refractive index. The targets may be isolated entities (e.g., dust particles), but may also be 1-d or 2-d periodic arrays of “target unit cells”, which can be used to study absorption, scattering, and electric ?elds around arrays of nanostructures.
標簽： userguide
上傳時間： 2015-04-29
上傳用戶：499689361
Matlab 畫三維立體圖形 The aim of geom3d library is to handle and visualize 3D geometric primitives such as points, lines, planes, polyhedra... It provides low-level functions for manipulating 3D geometric primitives, making easier the development of more complex geometric algorithms. Some features of the library are: - creation of various shapes (3D points, 3D lines, planes, polyhedra...) through an intuitive syntax. Ex: createPlane(p1, p2, p3) to create a plane through 3 points. - derivation of new shapes: intersection between 2 planes, intersection between a plane and a line, between a sphere and a line... - functions for 3D polygons and polyhedra. Polyhedra use classical vertex-faces arrays (face array contain indices of vertices), and support faces with any number of vertices. Some basic models are provided (createOctaedron, createCubeoctaedron...), as well as some computation (like faceNormal or centroid) - manipulation of planar transformation. Ex.: ROT = createRotationOx(THETA); P2 = transformPoint3d(P1, ROT); - direct drawing of shapes with specialized functions. Clipping is performed automatically for infinite shapes such as lines or rays. Ex: drawPoint3d([50 50 25; 20 70 10], 'ro'); % draw some points drawLine3d([X0 Y0 Z0 DX DY DZ]); % clip and draw straight line Some functions require the geom2d package. Additional help is provided in geom3d/Contents.m file, as well as summary files like 'points3d.m' or 'lines3d.m'.
標簽： Matlab 畫三維立體圖形
上傳時間： 2015-11-02
上傳用戶：A1321
Computational models are commonly used in engineering design and scientific discovery activities for simulating complex physical systems in disciplines such as fluid mechanics, structural dynamics, heat transfer, nonlinear structural mechanics, shock physics, and many others. These simulators can be an enormous aid to engineers who want to develop an understanding and/or predictive capability for complex behaviors typically observed in the corresponding physical systems. Simulators often serve as virtual prototypes, where a set of predefined system parameters, such as size or location dimensions and material properties, are adjusted to improve the performance of a system, as defined by one or more system performance objectives. Such optimization or tuning of the virtual prototype requires executing the simulator, evaluating performance objective(s), and adjusting the system parameters in an iterative, automated, and directed way. System performance objectives can be formulated, for example, to minimize weight, cost, or defects; to limit a critical temperature, stress, or vibration response; or to maximize performance, reliability, throughput, agility, or design robustness. In addition, one would often like to design computer experiments, run parameter studies, or perform uncertainty quantification (UQ). These approaches reveal how system performance changes as a design or uncertain input variable changes. Sampling methods are often used in uncertainty quantification to calculate a distribution on system performance measures, and to understand which uncertain inputs contribute most to the variance of the outputs. A primary goal for Dakota development is to provide engineers and other disciplinary scientists with a systematic and rapid means to obtain improved or optimal designs or understand sensitivity or uncertainty using simulationbased models. These capabilities generally lead to improved designs and system performance in earlier design stages, alleviating dependence on physical prototypes and testing, shortening design cycles, and reducing product development costs. In addition to providing this practical environment for answering system performance questions, the Dakota toolkit provides an extensible platform for the research and rapid prototyping of customized methods and meta-algorithms
標簽： Optimization and Uncertainty Quantification
上傳時間： 2016-04-08
上傳用戶：huhu123456
obot control, a subject aimed at making robots behave as desired, has been extensively developed for more than two decades. Among many books being published on this subject, a common feature is to treat a robot as a single system that is to be controlled by a variety of control algorithms depending on different scenarios and control objectives. However, when a robot becomes more complex and its degrees of freedom of motion increase substantially, the needed control computation can easily go beyond the scope a modern computer can handle within a pre-specified sampling period. A solution is to base the control on subsystem dynamics.
標簽： decomposition virtual control
上傳時間： 2019-09-04
上傳用戶：txb96
Communication between various devices makes it possible to pro- vide unique and innovative services. Although this interdevice com- munication is a very powerful mechanism, it is also a complex and clumsy mechanism, leading to a lot of complexity in present day systems. This not only makes networking difficult but also limits its flexibility.
標簽： Wireless Networks Mobile Hoc Ad
上傳時間： 2020-05-26
上傳用戶：shancjb
Multiple-Input Multiple-Output (MIMO) systems have recently been the subject of intensive consideration in modem wireless communications as they offer the potential of providing high capacity, thus unleashing a wide range of applications in the wireless domain. The main feature of MIMO systems is the use of space-time processing and Space-Time Codes (STCs). Among a variety of STCs, orthogonal Space-Time Block Codes (STBCs) have a much simpler decoding method, compared to other STCs
標簽： Orthogonal Space-Time Processing Complex
上傳時間： 2020-05-26
上傳用戶：shancjb
This work titled A Digital Phase Locked Loop based Signal and Symbol Recovery System for Wireless Channel is intended to serve as a document covering funda- mental concepts and application details related to the design of digital phase locked loop (DPLL) and its importance in wireless communication. It documents some of the work done during the last few years covering rudimentary design issues, complex implementations, and fixing configuration for a range of wireless propa- gation conditions.
上傳時間： 2020-05-27
上傳用戶：shancjb
Engineers are professional inventors, researchers, and developers. Education imbues each engineer with discipline-specific knowledge. Combining the different disciplines allows engineers to solve more complex problems.
標簽： Energy-Efficient Communication Processors
上傳時間： 2020-05-27
上傳用戶：shancjb
Complex networks are powerful allies of our quest to tackle complexity in all of science. Many lines can be written about the benefits of using networks to study complex systems. Nevertheless, if I had to name their single most appealing property,Iwouldsaysimplicity.Onecanmaptheinteractingelementsofanysystem to a set of nodes, and connect these nodes with a set of links according to their interactions.
上傳時間： 2020-05-27
上傳用戶：shancjb
Smartphones have become a key element in providing greater user access to the mobile Internet. Many complex applications which used to be limited to PCs, have been developed and operated on smartphones. These applications extend the functionalities of smartphones, making them more convenient for users to be connected. However, they also greatly increase the power consumption of smartphones, making users frustrated with long delays in Web browsing.
標簽： Browsing Mobile Cloud Using Web the
上傳時間： 2020-05-30
上傳用戶：shancjb
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