This book presents the proceedings of the 6th International Conference on Signal processing and Information Communications (ICSPIC 2023), which was held in Singapore, on February 25-27, 2023. The conference aims to pr...
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ISBN:
(数字)9783031437816
ISBN:
(纸本)9783031437809;9783031437830
This book presents the proceedings of the 6th International Conference on Signal processing and Information Communications (ICSPIC 2023), which was held in Singapore, on February 25-27, 2023. The conference aims to provide a leading international forum for researchers, practitioners, and professionals from the industry, academia and government to share their new ideas, progresses and achievements in signal processing and information communications. The contributions focus on the latest advances, trends and future challenges in analog and mixed signal processing, design and implementation of signal processing systems, compressive sensing, machine learning methods for communications and signal processing, multimedia signal processing, natural language processing, next generation mobile communications, nonlinear signal processing, optical communications, parallel and distributedprocessing, and more.
We live in a world where a vast amount of data is being continuously generated. Data is coming in a variety of ways. For example, every time we do a search on Google, every time we purchase something on Amazon, every ...
We live in a world where a vast amount of data is being continuously generated. Data is coming in a variety of ways. For example, every time we do a search on Google, every time we purchase something on Amazon, every time we click a 'like' on Facebook, every time we upload an image on Instagram, every time a sensor is activated, etc., it will generate new data. Data is different than simple numerical information, it now comes in a variety of forms. However, isolated data is valueless. But when this huge amount of data is connected, it is very valuable to look for new insights. At the same time, data is time sensitive. The most accurate and effective way of describing data is to express it as a data stream. If the latest data is not promptly processed, the opportunity of having the most useful results will be missed. So a parallel and distributed system for processing large amount of data streams in real time has an important research value and a good application prospect. This thesis focuses on the study of parallel and continuous data stream Joins. We divide this problem into two categories. The first one is Data Driven parallel and Continuous Join, and the second one is Query Driven parallel and Continuous Join. In a Data Driven Join, the query never changes, but the type (format, dimension, etc.) of data does change. We use kNN Join (k Nearest Neighbor) as our use case for this category of Join. The Data parallel model should be used for this kind of Join. The difficulties lie on the preprocessing and the partitioning of data. We review five different kinds of parallel and distributedprocessingmethods for kNN Join. We then summarize the workflow into the following three steps: data-preprocessing, data-partitioning and data-computation. The pre-processing stage is used to either select the pivot points or reduce the dimensionality of data. We introduce two different types of partition method, one size-based, the other distance-based. In the computation step, we
parallelprocessing is seen today as the means to improve the power of computing facilities by breaking the Von Neumann bottleneck of conventional sequential computer architectures. By defining appropriate parallel co...
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ISBN:
(数字)9789401134965
ISBN:
(纸本)9780792314837;9789401055468
parallelprocessing is seen today as the means to improve the power of computing facilities by breaking the Von Neumann bottleneck of conventional sequential computer architectures. By defining appropriate parallel computation models definite advantages can be obtained. parallelprocessing is the center of the research in Europe in the field of Information processing Systems so the CEC has funded the ESPRIT Supemode project to develop a low cost, high performance, multiprocessor machine. The result of this project is a modular, reconfigurable architecture based on !NMOS transputers: ***. This machine can be considered as a research, industrial and commercial success. The CEC has decided to continue to encourage manufacturers as well as research and end-users of transputers by funding other projects in this field. This book presents course papers of the Eurocourse given at the Joint Research Centre in ISPRA (Italy) from the 4th to 8 of November 1991. First we present an overview of various trends in the design of parallel architectures and specially of the *** with it's software development environments, new distributed system aspects and also new hardware extensions based on the !NMOS T9000 processor. In a second part, we review some real case applications in the field of image synthesis, imageprocessing, signal processing, terrain modeling, particle physics simulation and also enhanced parallel and distributed numerical methods on ***.
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