Conferences related to Annealing

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2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


2019 IEEE 46th Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2019 IEEE 69th Electronic Components and Technology Conference (ECTC)

premier components, packaging and technology conference


2019 IEEE International Reliability Physics Symposium (IRPS)

Meeting of academia and research professionals to discuss reliability challenges.


2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

This conference is the annual premier meeting on the use of instrumentation in the Nuclear and Medical fields. The meeting has a very long history of providing an exciting venue for scientists to present their latest advances, exchange ideas, renew existing collaboration and form new ones. The NSS portion of the conference is an ideal forum for scientists and engineers in the field of Nuclear Science, radiation instrumentation, software engineering and data acquisition. The MIC is one of the most informative venues on the state-of-the art use of physics, engineering, and mathematics in Nuclear Medicine and related imaging modalities, such as CT and increasingly so MRI, through the development of hybrid devices


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Periodicals related to Annealing

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Advanced Packaging, IEEE Transactions on

The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.


Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


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Most published Xplore authors for Annealing

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Xplore Articles related to Annealing

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Multi-scale simulation of ultra-fast radiation anneal processes for robust process implementation

2005 13th International Conference on Advanced Thermal Processing of Semiconductors, 2005

Since the mid-1980's a great deal of effort has gone into simulation of wafer and die-scale thermal behavior during "conventional" rapid thermal processing (RTP) anneals. With ultra-fast anneal processes such as flash-lamp anneal and laser anneal taking a more prominent position in semiconductor manufacturing. The fundamentals of wafer heating such as time scales, associated lengths scales, and the spectral distribution ...


Rta-simulations With the 2-d Process Simulator Promis

Workshop on Numerical Modeling of Processes and Devices for Integrated Circuits, 1990

None


Rapid thermal annealing on the characteristics of polysilicon thin-film transistors in practical TFT SRAM process

IEEE Transactions on Electron Devices, 1997

In the practical thin-film transistor (TFT) SRAM process, the rapid thermal contact annealing (RTA) would seriously deteriorate the subthreshold characteristics of TFTs but it can improve the maximum transconductance. We suggest that these degradations are due to the generation of the deep states and we find these degradations can be recovered by a low-temperature anneal in H/sub 2//N/sub 2/ gas ...


Modeling and simulation of the strip tension of the pay-off reel

2010 8th World Congress on Intelligent Control and Automation, 2010

Pay-off reel is the key equipment in entry of the continuous annealing line. In the continuous annealing process, strip tension is an important factor that affects the operation speed of continuous annealing line, and the appropriate strip tension is also a key factor to avoid the heat buckling and running deviation of the strip. A dynamic strip tension model of ...


Coverage Control for Multi-Copter with Avoidance of Local Optimum and Collision Using Change of the Distribution Density Map

2018 57th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), 2018

In this paper, we propose the coverage control for multi-copter type Unmanned Aerial Vehicle (UAV) with avoidance of local optimum and collision. As an effect of coverage control, the optimal deployment of agents according to arbitrary distribution could be calculated. However, there are problems with coverage control. One of them is that fallen into the local optimum solution owing to ...


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Educational Resources on Annealing

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IEEE-USA E-Books

  • Multi-scale simulation of ultra-fast radiation anneal processes for robust process implementation

    Since the mid-1980's a great deal of effort has gone into simulation of wafer and die-scale thermal behavior during "conventional" rapid thermal processing (RTP) anneals. With ultra-fast anneal processes such as flash-lamp anneal and laser anneal taking a more prominent position in semiconductor manufacturing. The fundamentals of wafer heating such as time scales, associated lengths scales, and the spectral distribution of radiation used are revisited. The authors explore how the ultrafast anneal processes are expected to interact with pattern-scale effects revealing how simulation analysis will be critical component in bringing new radiation anneal processes to manufacturing

  • Rta-simulations With the 2-d Process Simulator Promis

    None

  • Rapid thermal annealing on the characteristics of polysilicon thin-film transistors in practical TFT SRAM process

    In the practical thin-film transistor (TFT) SRAM process, the rapid thermal contact annealing (RTA) would seriously deteriorate the subthreshold characteristics of TFTs but it can improve the maximum transconductance. We suggest that these degradations are due to the generation of the deep states and we find these degradations can be recovered by a low-temperature anneal in H/sub 2//N/sub 2/ gas ambient.

  • Modeling and simulation of the strip tension of the pay-off reel

    Pay-off reel is the key equipment in entry of the continuous annealing line. In the continuous annealing process, strip tension is an important factor that affects the operation speed of continuous annealing line, and the appropriate strip tension is also a key factor to avoid the heat buckling and running deviation of the strip. A dynamic strip tension model of the pay-off reel is proposed. The closed loop simulation software of the strip tension control, which consists of the control simulation software and the tension model software based on the dynamic model, is established. Simulation experiments results illustrate the effectiveness of the tension model and the closed loop simulation software.

  • Coverage Control for Multi-Copter with Avoidance of Local Optimum and Collision Using Change of the Distribution Density Map

    In this paper, we propose the coverage control for multi-copter type Unmanned Aerial Vehicle (UAV) with avoidance of local optimum and collision. As an effect of coverage control, the optimal deployment of agents according to arbitrary distribution could be calculated. However, there are problems with coverage control. One of them is that fallen into the local optimum solution owing to biased initial position or target. And the other one is collision since coverage control did not consider the size of agent. In this paper, we attempt to solve the local optimum by gradually changing the distribution density map which represents target deployment. And Voronoi diagram with void which considers the size of agents could solve the collision. This paper verifies the validity of proposed method with numerical simulation, comparing random walk and simulated annealing for local optimal problem, and the artificial potential method for collision.

  • Surrogate assisted Simulated Annealing (SASA) for constrained multi-objective optimization

    Real life optimization problems often involve a tradeoff between multiple objectives. They also comprise constraints, which may be due to various factors such as the strength of materials, stability and safety of design, limits on operational time, financial viability and many others. In recent years, Evolutionary Algorithms (EAs) have been a popular choice for solving such multi-objective, constrained problems for various reasons. Point to point search methods, such as Simulated Annealing (SA) have been largely unexplored for such problems. However, some recent studies have suggested that with certain enhancements, SA can also be an effective tool to deal with such problems. The ability of SA to accept uphill moves (unlike EAs) during the search makes it a less prone to getting trapped in a local minimum, and is therefore attractive for solving optimization problems. For many engineering design problems, evaluating a candidate solution can be computationally intensive. This can often put a restriction on the number of function evaluations to find a near optimum solution. To mitigate this problem, often suitable approximations (surrogates) are used in optimization instead of real function evaluations. Surrogate assisted approaches have so far been used in the paradigm of Evolutionary Algorithms (EA). In this paper, we extend the use of surrogates to another well known heuristic, Simulated Annealing (SA), for constrained, multi-objective problems. A comparison with currently prevalent EAs on a difficult set of constrained problems has been included in order to highlight the efficacy of the proposed approach.

  • Mathematical modelling of immune systems by simulated annealing

    Cellular kinetics formulate the basis of tumor immune system dynamics which may be synthesized mathematically as cascades of bilinear systems which are connected by nonlinear dynamical terms. In this manner, a foundation for the control of syngeneic tumors is presented. We have analyzed the mechanisms of controlling the infiltration of lymphocytes into tumor tissues. Simulated annealing, a general-purpose method of multivariate optimization, is applied to above combinatorial optimization, which is to find the minimum of a given function depending on many parameters. We compare the results of the different methods including the global optimization algorithm, known as simulated annealing.

  • Efficiency comparison of simulated annealing algorithm and Genetic Algorithm in Feature Selection

    As of 1997, when a special issue on relevance including several papers on feature selection was published, few domains explored used more than 40 features.The situation has changed considerably in the past few years and, in this special issue, most papers explore domains with hundreds to tens of thousands of variables or features: new techniques are proposed to address these challenging tasks involving many irrelevant and redundant features. Feature selection has been proved to be important in improving the accuracy of classification. Genetic Algorithm is common used in a variety of situation and has been showed to have good result. But it cannot be ignored that it often takes much time when applying the Genetic Algorithm to the data sets with instances. In this study, we show that Simulated Annealing Algorithm is potentially to be more efficient than Genetic Algorithm in Feature Selection.

  • Methods and algorithms for the design of proteins

    Protein design is a burgeoning new field of structural molecular biology, which entails selecting sequences of amino acids to fold into a desired pre- determined structure. The authors present a quantitative methodology for the de novo design of proteins as well as supporting algorithms, including a massively parallel simulated annealing optimization method. With these algorithms it is possible to choose sequences which should adopt an arbitrary plausible structure.<<ETX>>

  • Optimal Bandwidth Assignment for Multiple-Description-Coded Video

    In video streaming over multicast network, user bandwidth requirement is often heterogeneous possibly with orders of magnitude difference (say, from hundreds of kb/s for mobile devices to tens of Mb/s for high-definition TV). Multiple description coding (MDC) can be used to address this bandwidth heterogeneity issue. In MDC, the video source is encoded into multiple independent descriptions. A receiver, depending on its available bandwidth, joins different descriptions to meet their bandwidth requirements. An important but challenging problem for MDC video multicast is how to assign bandwidth to each description in order to maximize overall user satisfaction. In this paper, we investigate this issue by formulating it as an optimization problem, with the objective to maximize user bandwidth experience by taking into account the encoding inefficiency due to MDC. We prove that the optimization problem is NP-hard. However, if the description number is larger than or equal to a certain threshold (e.g., if the minimum and maximum bandwidth requirements are 100 kb/s and 10 Mb/s, respectively, such threshold is seven descriptions), there is an exact and simple solution to achieve maximum user satisfaction, i.e., meeting all the bandwidth requirements. For the case when the description number is smaller, we present an efficient heuristic called simulated annealing for MDC bandwidth assignment (SAMBA) to assign bandwidth to each description given the distribution of user bandwidth requirement. We evaluate our algorithm using simulations. SAMBA achieves virtually the same optimal performance based on exhaustive search. By comparing with other assignment algorithms, SAMBA significantly improves user satisfaction. We also show that, if the coding efficiency decreases with the number of descriptions, there is an optimal description number to achieve maximal user satisfaction.



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