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IEEE International Semiconductor Laser Conference

作者： Jiaren Liu Zhenguo Lu Linda Mao Philip Poole Chunying Song John Weber Pedro Barrios Daniel Poitras Siegfried Janz National Research Council Ottawa ON Canada

As data demand rises endlessly in the world, continuing exponential growth of data generation, transfer, collection, analysis, and storage is driving and shaping optical communication networks in different ways. The two most notable advances have been wavelength division multiplexing (WDM) and coherent communications, which again continue to evolve and are being combined to create even more advanced networks such as super-channel and flex-grid architectures. Semiconductor diode lasers, as light sources of these systems, must meet an ever more demanding and diverse set of technical specifications. For example, some of the new transmission schemes also require that the wavelength channels are mutually coherent, or locked together in phase.

关键词： Quantum dot lasers Laser mode locking Laser feedback Optimized production technology optical fiber communication

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Three-dimensional supercritical resolved light-induced magnetic holography

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SCIENCE advances 2017年第10期3卷 1701398-1701398页

作者： Hao, Chenglong Nie, Zhongquan Ye, Huapeng Li, Hao Luo, Yang Feng, Rui Yu, Xia Wen, Feng Zhang, Ying Yu, Changyuan Teng, Jinghua Luk'yanchuk, Boris Qiu, Cheng-Wei Natl Univ Singapore Dept Elect & Comp Engn 4 Engn Dr 3 Singapore 117583 Singapore ASTAR Singapore Inst Mfg Technol 2 Fusionopolis Way Singapore 138634 Singapore Taiyuan Univ Technol Coll Phys & Optoelect Minist Educ & Shanxi Prov Key Lab Adv Transducers & Intelligent Control Sys Taiyuan 030024 Peoples R China Xi An Jiao Tong Univ Minist Educ Key Lab Phys Elect & Devices Xian 710049 Peoples R China Xi An Jiao Tong Univ Inst Wide Bandgap Semicond Xian 710049 Peoples R China Hong Kong Polytech Univ Dept Elect & Informat Engn Kowloon Hong Kong Peoples R China ASTAR Ist Mat Res & Engn 2 Fusionopolis Way Singapore 138634 Singapore Nanyang Technol Univ Sch Phys & Math Sci Div Phys & Appl Phys Singapore 637371 Singapore Lomonosov Moscow State Univ Fac Phys Moscow 119991 Russia Shenzhen Univ SZU NUS Collaborat Innovat Ctr Optoelect Sci & Te Shenzhen 518060 Peoples R China

In the era of big data, there exists a growing gap between data generated and storage capacity using two-dimensional (2D) magnetic storage technologies (for example, hard disk drives), because they have reached their performance saturation. 3D volumetric all-optical magnetic holography is emerging rapidly as a promising road map to realizing high-density capacity for its fast magnetization control and subwavelength magnetization volume. However, most of the reported light-induced magnetization confronts the problems of impurely longitudinal magnetization, diffraction-limited spot, and uncontrollable magnetization reversal. To overcome these challenges, we propose a novel 3D light-induced magnetic holography based on the conceptual supercritical design with multibeam combination in the 4 pi microscopic system. We theoretically demonstrate a 3D deep super-resolved (similar to(lambda 3)/59) purely longitudinal magnetization spot by focusing six coherent circularly polarized beams with two opposing high numerical aperture objectives, which allows 3D magnetic holography with a volumetric storage density of up to 1872 terabit per cubic inches. The number and locations of the super-resolved magnetization spots are controllable, and thus, desired magnetization arrays in 3D volume can be produced with properly designed phase filters. Moreover, flexible magnetization reversals are also demonstrated in multifocal arrays by using different illuminations with opposite light helicity. In addition to data storage, this magnetic holography may find applications in information security, such as identity verification for a credit card with magnetic stripe.

关键词： SUPERCRITICAL fluids HOLOGRAPHY COMPUTER storage capacity INTERFEROMETRY optical diffraction

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Enabling data Analytics and Machine Learning for 5G Services within Disaggregated Multi-Layer Transport Networks

Enabling Data Analytics and Machine Learning for 5G Services...

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International Conference on Transparent optical Networks

作者： Ramon Casellas Ricardo Martínez Luis Velasco Ricard Vilalta Pablo Pavón Daniel King Raül Muñoz Centre Tecnològic de Telecomunicacion de Catalunya (CTTC/CERCA) Castelldefels Spain Universidad Politécnica de Cartagena UPCT Cartagena Spain Old Dog Consulting UK

Recent advances, related to the concepts of Artificial Intelligence (AI) and Machine Learning (ML) and with applications across multiple technology domains, have gathered significant attention due, in particular, to the overall performance improvement of such automated systems when compared to methods relying on human operation. Consequently, using AI/ML for managing, operating and optimizing transport networks is increasingly seen as a potential opportunity targeting, notably, large and complex *** AI-assisted automated network operation is expected to facilitate innovation in multiple aspects related to the control and management of future optical networks and is a promising milestone in the evolution towards autonomous networks, where networks self-adjust parameters such as transceiver *** accomplish this goal, current network control, management and orchestration systems need to enable the application of AI/ML techniques. It is arguable that Software-Defined Networking (SDN) principles, favouring centralized control deployments, featured application programming interfaces and the development of a related application ecosystem are well positioned to facilitate the progressive introduction of such techniques, starting, notably, in allowing efficient and massive monitoring and data *** this paper, we present the control, orchestration and management architecture designed to allow the automatic deployment of 5G services (such as ETSI NFV network services) across metropolitan networks, conceived to interface 5G access networks with elastic core optical networks at multi Tb/s. This network segment, referred to as Metro-haul, is composed of infrastructure nodes that encompass networking, storage and processing resources, which are in turn interconnected by open and disaggregated optical networks. In particular, we detail subsystems like the Monitoring and data Analytics or the in-operation planning backend that extend current SDN ba

关键词： Monitoring data analysis optical fiber networks Telemetry data models Computer architecture Integrated optics

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Planar Diffractive Lenses: Fundamentals, Functionalities, and Applications

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ADVANCED MATERIALS 2018年第26期30卷 1704556-1704556页

作者： Huang, Kun Qin, Fei Liu, Hong Ye, Huapeng Qiu, Cheng-Wei Hong, Minghui Luk'yanchuk, Boris Teng, Jinghua ASTAR Inst Mat Res & Engn 2 Fusionopolis WayInnovis 08-03 Singapore 138634 Singapore Univ Sci & Technol China Dept Opt & Opt Engn Hefei 230026 Anhui Peoples R China Jinan Univ Inst Photon Technol Guangdong Prov Key Lab Opt Fiber Sensing & Commun 601 Huangpu Ave West Guangzhou 510632 Guangdong Peoples R China Natl Univ Singapore Dept Elect & Comp Engn 4 Engn Dr 3 Singapore 117576 Singapore ASTAR Data Storage Inst 2 Fusionopolis WayInnovis 08-01 Singapore 138634 Singapore Nanyang Technol Univ Sch Phys & Math Sci Div Phys & Appl Phys Singapore 637371 Singapore Lomonosov Moscow State Univ Fac Phys Moscow 119991 Russia

Traditional objective lenses in modern microscopy, based on the refraction of light, are restricted by the Rayleigh diffraction limit. The existing methods to overcome this limit can be categorized into near-field (e.g., scanning near-field optical microscopy, superlens, microsphere lens) and far-field (e.g., stimulated emission depletion microscopy, photoactivated localization microscopy, stochastic optical reconstruction microscopy) approaches. However, they either operate in the challenging near-field mode or there is the need to label samples in biology. Recently, through manipulation of the diffraction of light with binary masks or gradient metasurfaces, some miniaturized and planar lenses have been reported with intriguing functionalities such as ultrahigh numerical aperture, large depth of focus, and subdiffraction-limit focusing in far-field, which provides a viable solution for the label-free superresolution imaging. Here, the recent advances in planar diffractive lenses (PDLs) are reviewed from a united theoretical account on diffraction-based focusing optics, and the underlying physics of nanofocusing via constructive or destructive interference is revealed. Various approaches of realizing PDLs are introduced in terms of their unique performances and interpreted by using optical aberration theory. Furthermore, a detailed tutorial about applying these planar lenses in nanoimaging is provided, followed by an outlook regarding future development toward practical applications.

关键词： flat optics metasurfaces subdiffraction limit superresolution imaging zone plates

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Electro-Photonic Integration and technology Selection for Next Generation optical Receivers

Electro-Photonic Integration and Technology Selection for Ne...

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作者： Vernon Elmo Paul Mcgill University

学位级别：硕士

The last decade has seen an exponential increase in the magnitude and consumption of digital information. Online video streaming, cloud storage, the growing number of devices connected to the web via the "Internet of Things", and artificial intelligence, are emerging applications that require low-latency, high-speed networks. With optical carrier frequencies operating at 100s of THz for common communication wavelengths and optical fibers having both high bandwidth and low attenuation, optical communications in data centers is imminent. However, the bottleneck lies at the interface between optics and electronics, where information is converted from one domain to the other. This work explores historical and recent advances in improving the hardware bottleneck through "electro-photonic integration": the dense or monolithic integration of electronic and photonic devices onto a single semiconductor die. Unlike digital circuits, where silicon is the obvious choice, the implementation of high-speed electronic and photonic hardware can be enabled by various semiconductors including silicon, silicon germanium, gallium arsenide, and indium phosphide. A comparison of these semiconductors is presented to assess their current fit for meeting future data rate demands. Within the topic of electro-photonic integration, high-speed photodetectors are experimentally characterized and assembled with an electronic receiver. The knowledge gained from this process is then used to formulate a top-down, electro-photonic receiver design approach. The methodology incorporates three main blocks: the photodetector, electro-photonic assembly environment, and a simple, technology-based model of the transimpedance amplifier. This approach combines the otherwise separate photonic and electronic design processes in a simple, complete manner, allowing component vendors to consider co-designing or monolithically integrating devices with a technology platform that best fits customer requirements.

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Large Scale Surveillance, Detection and Alerts Information Management System for Critical Infrastructure 12th

Large Scale Surveillance, Detection and Alerts Information M...

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12th IFIP WG 5.11 International Symposium on Environmental Software Systems (ISESS)

作者： Sabeur, Z. Zlatev, Z. Melas, P. Veres, G. Arbab-Zavar, B. Middleton, L. Museux, N. Univ Southampton Dept Elect & Comp Sci IT Innovat Ctr Southampton Hants England THALES Res & Technol Palaiseau France

ISBN: (纸本)9783319899350;9783319899343

A proof-of-concept system for large scale surveillance, detection and alerts information management (SDAIM) is presented in this paper. Various aspects of building the SDAIM software system for large scale critical infrastructure monitoring and decision support are described. The work is currently developped in the large collaborative ZONeSEC project (***). ZONeSEC specializes in the monitoring of so-called Wide-zones. These are large critical infrastructure which require 24/7 monitoring for safety and security. It involves integrated in situ and remote sensing together with large scale stationary sensor networks, that are supported by cross-border communication. In ZONeSEC, the specific deployed sensors around the critical infrastructure may include: Accelerometers that are mounted on perimeter fences;Underground acoustic sensors;optical, thermal and hyperspectral video cameras or radar systems mounted on strategic areas or on airborne UAVs for mission exploration. The SDAIM system design supports the ingestion of the various types of sensors platform wide-zones' environmental observations and provide large scale distributed data fusion and reasoning with near-real-time messaging and alerts for critical decision-support. On a functional level, the system design is founded on the JDL/DFIG (Joint Directors of Laboratories/data Fusion Information Group) data and information fusion model. Further, it is technologically underpinned by proven Big data technologies for distributed data storage and processing as well as on-demand access to intelligent data analytics modules. The SDAIM system development will be piloted and alidated at various selected ZONeSEC project wide-zones [1]. These include water, oil and transnational gas pipelines and motorway conveyed in six European countries.

关键词： Big data data fusion Information systems Surveillance of critical infrastructure

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Three-dimensional imaging of porous media using confocal laser scanning microscopy

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JOURNAL OF MICROSCOPY 2017年第2期265卷 261-271页

作者： Shah, S. M. Crawshaw, J. P. Boek, E. S. Imperial Coll London Qatar Carbonates & Carbon Storage Res Ctr QCCSRC Dept Chem Engn London England Imperial Coll Dept Chem Engn London SW7 2AZ England

In the last decade, imaging techniques capable of reconstructing three- dimensional (3-D) pore-scale model have played a pivotal role in the study of fluid flow through complex porous media. In this study, we present advances in the application of confocal laser scanning microscopy (CLSM) to image, reconstruct and characterize complex porous geological materials with hydrocarbon reservoir and CO2 storage potential. CLSM has a unique capability of producing 3-D thin optical sections of a material, with a wide field of view and submicron resolution in the lateralandaxial planes. However, CLSMis limited in the depth (z-dimension) that can be imaged in porous materials. In this study, we introduce a 'grind and slice' technique to overcome this limitation. We discuss the practical and technical aspects of the confocal imaging technique with application to complex rock samples including Mt. Gambier and Ketton carbonates. We then describe the completeworkflow of image processing to filtering and segmenting the raw 3-D confocal volumetric data into pores and grains. Finally, we use the resulting 3-D pore-scale binarized confocal data obtained to quantitatively determine petrophysical pore-scale properties such as total porosity, macro-and microporosity and singlephase permeability using lattice Boltzmann (LB) simulations, validated by experiments.

关键词： Carbonate rock confocal imaging three-dimensional

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1st International Conference on data Engineering and Communication technology, ICDECT 2016

1st International Conference on Data Engineering and Communi...

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1st International Conference on data Engineering and Communication technology, ICDECT 2016

ISBN: (纸本)9789811016776

The proceedings contain 80 papers. The special focus in this conference is on data Engineering and Communication technology. The topics include: Experimental analysis on big data in IOT-based architecture;morphology based approach for number plate extraction;tracking pointer based approach for iceberg query evaluation;performance evaluation of shortest path routing algorithms in real road networks;an outlook in some aspects of hybrid decision tree classification approach;content search quaternary look-up table architecture;exhaust gas emission analysis of automotive vehicles using FPGA;comparative analysis of android malware detection techniques;developing secure cloud storage system using access control models;a multilevel clustering using multi-hop and Multihead in VANET;significance of frequency band selection of MFCC for text-independent speaker identification;analytical study of miniaturization of microstrip antenna for bluetooth/WiMax;novel all-optical encoding and decoding scheme for code preservation;improvisation in frequent pattern mining technique;detailed survey on attacks in wireless sensor network;an approach to protect confidential data in cloud environment;issues with DCR and NLSR in named-based routing protocol;priority dissection supervision for intrusion detection in wireless sensor networks;mining frequent quality factors of software system using apriori algorithm;algorithm for the enumeration and identification of kinematic chains;communication device for differently abled people;a prototype model;an adaptive mapreduce scheduler for scalable heterogeneous systems and multiple home automation on raspberry pi.

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An approach for digitizing form based images

An approach for digitizing form based images

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International Conference on advances in ICT for Emerging Regions

作者： Pasindu. A. De Alwis Pumudu A. Fernando Informatics Institute of Technology Colombo 06 Sri Lanka

Numerous associations still rely on paper-escalated work processes. Due to the fact that the printed and handwritten documents are all around acknowledged and perceived for any authoritative report. The major issues having handled the paper documents are the inability to monitor the lost data, storage and money and time wasted on re-keying data. It is possible to address these problems through a solution that can digitize the data in these paper documents. The most common approach is to identify handwritten of a single person through a template matching approach. In the proposed approach, the template of the document is identified and handwritten areas are extracted through an image processing component and the identification of the handwritten characters are addressed through training the system using a convolutional neural network. The accuracy level of 90% achieved with recognition of form template and 84.67% accuracy level achieved with handwritten character recognition.

关键词： Character recognition Image recognition Shape Handwriting recognition Kernel optical character recognition software Biological neural networks

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Density-functional Theory Guided advances in Phase-change Materials and Memories

Density-functional Theory Guided Advances in Phase-change Ma...

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2017第六届国际新材料大会

作者： Wei Zhang Xi'an Jiaotong University China

Phase-change materials(PCMs) are promising candidates for novel data-storage and memory *** encode digital information by exploiting the optical and electronic contrast between amorphous and crystalline *** and reversible switching between the two states can be induced by voltage or laser ***,we review how density-functional theory(DFT)is advancing our understanding of *** describe key DFT insights into structural,electronic,and bonding properties of PCMs and into technologically relevant processes such as fast crystallization and relaxation of the amorphous *** also comment on the leading role played by predictive DFT simulations in new potential applications of PCMs,including topological properties,switching between different topological states,and magnetic properties of doped *** DFT-based approaches are also projected to be powerful in guiding advances in other materials-science fields(MRS Bulletin 40,856(2015);***.11,952(2012)).

关键词： Density-functional Theory Guided advances in Phase-change Materials and Memories

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