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Heterogeneous Photonic Integration on Silicon

2018 European Conference on Optical Communication (ECOC), 2016
We review recent advances in heterogeneous silicon photonic integration technology and components and describe progress in silicon photonic integrated circuits. Techniques for laser integration and the impact of active silicon photonic integrated circuits could have on interconnects, telecommunications and silicon electronics are reviewed. A variety of
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Heterogeneous system integration data integration guarantees

Journal of Computational Methods in Sciences and Engineering, 2017
In this paper, I investigate the problem of providing guarantees for heterogeneous system integration. I propose a set of strong properties, FACD, which when held in the integration transaction will deliver correct results. The strong properties support an integration technique called CCETL(Continuous, Consistent, Extract, Translate, and Load).
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Heterogeneous integration: Optical receivers

2014 IEEE Photonics Conference, 2014
Datacenters are demanding dramatic increases in the volume and density of optical interconnections, requiring multiple high performance lasers, modulators, and photodiodes in a single module to meet growing bandwidth needs along with dramatically lower power and cost.
Brian R. Koch   +4 more
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Integrating Heterogeneous Multidimensional Databases

2005
In this paper we present a number of techniques that can be at the basis of a practical integration tool for multidimensional databases. We start by addressing the basic issue of matching heterogeneous dimensions and provide a number of general properties that a dimension matching should fulfill.
CABIBBO, Luca, TORLONE, Riccardo
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Integration of heterogeneous databases

2015 International Conference on Advances in Computer Engineering and Applications, 2015
Database integration implies the integration and aggregation of data from different databases within or outside the organization and use that integrated data in many real time applications. Today, due to cloud computing come into the picture there is a need of sharing the resources and need to achieve consistency also.
Binny Garg, Karamjit Kaur
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Integrating heterogeneous OO schemas

Proceedings 15th International Conference on Data Engineering (Cat. No.99CB36337), 1999
To eliminate semantic conflicts among the heterogeneous databases involved in a cooperation, a set of correspondence assertions for declaring their semantic relationships have to be constructed by DBAs or by users. Normally, four set relationships between object classes: equivalence, inclusion, intersection, and exclusion will be defined to provide ...
null Yangjun Chen, W. Benn
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Ontology-Based Heterogeneous Data Integration Technology

Applied Mechanics and Materials, 2012
For the vast amounts of heterogeneous data is difficult to effectively deal with the problem, propose an ontology-based data integration technology. Analysis of the types of semantic conflicts in data integration, ontology semantic description of traditional data integration framework for data integration middleware module.
null Kang Li   +3 more
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Integrating Heterogeneous Multimedia Resources

2005
This paper proposes a new multimedia metadata that will support integrating non-standard multimedia metadata as well as the standard multimedia metadata. The metadata is defined by integrating MPEG-7 MDS and TV-AnyTime metadata. We also designed and implemented a framework for integrating multimedia databases.
Seong Joon Yoo, Chull Hwan Song
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Overview of Heterogeneous Integrations

2019
Multichip module (MCM), system-in-package (SiP), and heterogeneous integration use packaging technology to integrate dissimilar chips, optical devices, and/or packaged chips with different materials and functions, from different fabless houses, foundries, wafer sizes, and feature sizes into a system or subsystem on different substrates or stand alone ...
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Trends in Heterogeneous Integrations

2019
Semiconductor industry has identified five main growth engines (applications), namely (1) mobile, (2) high-performance computing (HPC), (3) automotive (especially self-driving car), (4) internet of things (IoTs), and (5) big data (especially for cloud computing).
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