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检索条件"任意字段=Conference on Algorithms, Devices, and Systems for Optical Information Processing"

共 3212 条记录，以下是411-420 订阅

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Chromatic Dispersion Compensation in a SingleChannel, Single-Span 10 Gbit/s Fiber Optic Transmission System with Direct Photodetection Using Digital Signal processing

Chromatic Dispersion Compensation in a SingleChannel, Single...

引用

Annual Siberian Russian Workshop on Electron devices and Materials (EDM)

作者： Anatolij Sychuk Vardges Vardanyan Artem Maksimov Department of Photonics in Telecommunications Siberian State University of Telecommunications and Information Science Novosibirsk Russia Department of Computer-Aided Design Systems Siberian State University of Telecommunications and Information Science Novosibirsk Russia

ISBN: (数字)9798350389234

ISBN: (纸本)9798350353051

The influence of chromatic dispersion on the noise immunity of an optical signal transmitted in a single-channel fiber-optic transmission system with direct photodetection is investigated. The criterion for assessing the noise immunity of a detected signal is the Q-factor. A method for compensating chromatic dispersion using digital signal processing is proposed. Digital signal processing is performed using a digital correction device installed in the receiving part of the transmission system, after the photodetector. The impulse response depends on the parameters of the transmission system. The theoretical effectiveness of the proposed chromatic dispersion compensation method is evaluated. The effectiveness of the compensation method is assessed by comparing the noise immunity of the detected signal before and after applying the dispersion compensation method. The possibility of using the proposed method of chromatic dispersion compensation in modern fiber-optic transmission systems is considered. The research was carried out using analytical modeling of the process of transmitting a sequence of Gaussian pulse signals over a standard single-mode optical fiber. The analytical model is implemented in the Mathcad environment

关键词： optical fibers Analytical models Chromatic dispersion Noise Digital signal processing Adaptive optics optical fiber devices

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Artificial Intelligence Using Complex Photonics: Decision Making and Reservoir Computing

Artificial Intelligence Using Complex Photonics: Decision Ma...

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optical Fiber Communication (OFC) conference

作者： Atsushi Uchida Department of Information and Computer Sciences Saitama University Saitama City Saitama Japan

We overview recent development on photonic decision making and reservoir computing for artificial intelligence using complex photonics. Parallel implementations of photonic devices can accelerate information processin... 详细信息

ISBN: (纸本)9781957171180

关键词： Machine learning algorithms Chaotic communication Semiconductor lasers Scalability Decision making Reservoirs Laser modes

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Edge-Based Technology for the Design of Bridges Alerting System: A Practical Case 16

Edge-Based Technology for the Design of Bridges Alerting Sys...

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16th IEEE AFRICON, AFRICON 2023

作者： Rinaldi, Stefano Depari, Alessandro Ferrari, Paolo Flammini, Alessandra Sisinni, Emiliano University of Brescia Department of Information Engineering Brescia Italy

ISBN: (纸本)9798350336214

The Internet of Things (IoT) paradigm has significantly changed many industries recently, including building and construction sectors. Since information is now more readily available and is better organized, new innovative services that were previously unimaginable have been created. The widespread adoption of cloud technology then made it possible also for devices with limited resources to access the computing power needed to develop sophisticated algorithms, enabling the realization of these services. However, there are some drawbacks to cloud computing, including high latency, issues with data security, low reliability, and demand for high bandwidth. Edge computing technology has been proposed recently in order to solve these issues. The target of the research work is to demonstrate the design of an edge-based real-time alerting system for bridges. It is possible to monitor the condition of bridges in real time by using edge devices with sensors and processing capabilities placed on or near the bridge. This can provide early warning of any changes in the structure or behavior of the bridge, allowing for timely maintenance or repairs. The proposed system has been installed and tested on a bridge in the Italian town of Bassano Bresciano. The obtained results have allowed us to demonstrate the benefits that this technology can provide to Structural Health Monitoring (SHM) systems. © 2023 IEEE.

关键词： Internet of things

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Towards making the most of NLP-based device mapping optimization for OpenCL kernels

Towards making the most of NLP-based device mapping optimiza...

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IEEE International conference on Omni-Layer Intelligent systems (IEEE COINS)

作者： Vavaroutsos, Petros Oroutzoglou, Ioannis Masouros, Dimosthenis Soudris, Dimitrios Natl Tech Univ Athens Sch Elect & Comp Engn Athens Greece

ISBN: (数字)9781665483568

ISBN: (纸本)9781665483568

Nowadays, we are living in an era of extreme device heterogeneity. Despite the high variety of conventional CPU architectures, accelerator devices, such as GPUs and FPGAs, also appear in the foreground exploding the pool of available solutions to execute applications. However, choosing the appropriate device per application needs is an extremely challenging task due to the abstract relationship between hardware and software. Automatic optimization algorithms that are accurate are required to cope with the complexity and variety of current hardware and software. Optimal execution has always relied on time-consuming trial and error approaches. Machine learning (ML) and Natural Language processing (NLP) has flourished over the last decade with research focusing on deep architectures. In this context, the use of natural language processing techniques to source code in order to conduct autotuning tasks is an emerging field of study. In this paper, we extend the work of Cummins et al., namely Deeptune, that tackles the problem of optimal device selection (CPU or GPU) for accelerated OpenCL kernels. We identify three major limitations of Deeptune and, based on these, we propose four different DNN models that provide enhanced contextual information of source codes. Experimental results show that our proposed methodology surpasses that of Cummins et al. work, providing up to 4% improvement in prediction accuracy.

关键词： Machine Learning Natural Language processing OpenCL Heterogeneous systems

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Optimized Intrusion Detection in Edge Computing Using Random Forest and Nature Inspired algorithms

Optimized Intrusion Detection in Edge Computing Using Random...

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Next Generation Communication & information processing (INCIP), International conference on

作者： Varsha Sathasivam Banumathi Swathi Sivakumar Subasri Annadurai Nithya Jayakumar Ramya Jayakumar Department of Information Technology K.S. Rangasamy College of Technology Tiruchengode India Department of Electronics and Communication Engineering Hindusthan College of Engineering and Technology Coimbatore India

ISBN: (数字)9798331528140

ISBN: (纸本)9798331528157

Intrusion Detection systems (IDSs) involving machine learning techniques is relevant to the mobile edge computing platform. Data traffic is booming and mobility increasing there, now. This paper discusses a really lightwight IDS for centralized infrastructure, by using nature-inspired techniques i.e. the ALO and ACO that max-out the performance of a system. These critical approaches are reflected in the data which thereby provides easy classifiers and detectors of mal/attacks. A deep, complex sophisticated machine learning approaches may be set aside while working with a relatively simplified yet effective method, the Random Forest algorithm - is capable of identifying and diagnosing harmful behavior yet reducing alarms without being alarmist. Our experiments show that this design improves the IDS in terms of speed and accuracy. It is an efficient approach to improve security without overloading resource-constrained devices in mobile edge environments.

关键词： Training Privacy Multi-access edge computing Accuracy Protocols Machine learning algorithms Intrusion detection information processing Random forests Optimization

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GLNet: Low-light image enhancement via grayscale priors 13

GLNet: Low-light image enhancement via grayscale priors

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13th International conference on Signal processing systems, ICSPS 2021

作者： Guo, Li Xie, Junwei Xue, Yuyang Li, Ru Zheng, Weixin Tong, Tong Gao, Qinquan College of Physics and Information Engineering Fuzhou University Tsukuba Japan Fujian Key Lab of Medical Instrumentation & Pharmaceutical Technology Fuzhou University Tsukuba Japan Imperial Vision Technology Fujian China Department of Computer Science University of Tsukuba Tsukuba Japan

ISBN: (数字)9781510653184

ISBN: (纸本)9781510653177

Low-light images are generally produced by shooting in a low light environment or a tricky shooting angle, which not only affect people's perception, but also leads to the bad performance of some artificial intelligence algorithms, such as object detection, super-resolution, and so on. There are two difficulties in the low-light enhancement algorithm: in the first place, applying image processing algorithms independently to each low-light image often leads to the color distortion;the second is the need to restore the texture of the extremely low-light area. To address these issues, we present two novel and general approaches: firstly, we propose a new loss function to constrain the ratio between the corresponding RGB pixel values on the low-light image and the high-light image;secondly, we propose a new framework named GLNet, which uses the dense residual connection block to obtain the deep features of the low-light images, and design a gray scale channel network branch to guide the texture restoration on the RGB channels by enhancing the grayscale image. The ablation experiments have demonstrated the effectiveness of the proposed module in this paper. Extensive quantitative and perceptual experiments show that our approach obtains state-of-the-art performance on the public dataset. © COPYRIGHT SPIE.

关键词： Image enhancement

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Multicore Fiber-Tip Nanoforce Probes with Temperature Compensation

Multicore Fiber-Tip Nanoforce Probes with Temperature Compen...

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International conference on optical Communications and Networks (ICOCN)

作者： Cong Xiong Caoyuan Wang Wei Ji Limin Xiao Advanced Fiber Devices and Systems Group Key Laboratory of Micro and Nano Photonic Structures (MoE) Key Laboratory for Information Science of Electromagnetic Waves (MoE) Shanghai Engineering Research Center of Ultra-Precision Optical Manufacturing School of Information Science and Technology Fudan University Shanghai China

An ultracompact and highly sensitive multicore fiber-tip nanoforce sensor with temperature compensation is demonstrated. The probes enhance the accuracy and reliability of the sensor while significantly reduce the siz... 详细信息

ISBN: (数字)9798350367652

ISBN: (纸本)9798350367669

关键词： Temperature measurement Temperature sensors optical fiber sensors Accuracy Multicore processing optical fiber networks optical variables measurement

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Single-scan Run Length Algorithm for Real-Time Fiducial Marker Detection Based on FPGA devices 6

Single-scan Run Length Algorithm for Real-Time Fiducial Mark...

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6th International conference on Video and Image processing, ICVIP 2022

作者： Sufi, Farhana Binte Rincón Calle, Fernando Barba Romero, Jesús López, Juan Carlos L. Department of Electrical and Electronic Engineering University of Rajshahi Bangladesh Department of Technologies and Information Systems University of Castilla-La Mancha Spain

ISBN: (纸本)9781450397568

Image processing pipelines involved in detecting markers from real-Time video employ contour detection algorithms. Field Programmable Gate Arrays (FPGA) can provide greater computing power due to parallel processing and pipelining of the different stages in these algorithms. However, FPGA implementation of different contour detection methods remains challenging due to resource limitation and timing constraints. In this work a novel approach for a complete pipeline has been presented based on FPGA. The method used for the detection of fiducial markers from real-Time video streams is based on a single-scan approach. Implementation of such pipeline into reconfigurable technology is specially challenging compared to software-oriented implementation as pointers, dynamic structures, efficient use of resources, etc. need to be considered. A driver is the need to fit the design into low-cost reconfigurable devices. To help face the related challenges of a hardware implementation High Level Synthesis (HLS) technology has been adopted, which implies reengineering of the reference algorithms. The results show a successful detection of markers over a dataset acquired in a controlled indoor environment with different resolutions at different distances. The proposal has been prototyped and tested on a Zedboard with Xilinx Zynq®-7000 SoC. © 2022 ACM.

关键词： High level synthesis

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Security and Efficiency Models for Cyber-Physical systems in Medical devices

Security and Efficiency Models for Cyber-Physical Systems in...

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International Computer Sciences and information Technologies (CSIT)

作者： Inna Rozlomii Andrii Yarmilko Serhii Naumenko Department of Information security and computer engineering Cherkasy State Technological University Cherkasy Ukraine Department of Automated Systems Software Bohdan Khmelnytsky National University of Cherkasy Cherkasy Ukraine Department of Information Technologies Bohdan Khmelnytsky National University of Cherkasy Cherkasy Ukraine

ISBN: (数字)9798331542634

ISBN: (纸本)9798331542641

The article explores security and efficiency models applied in cyber-physical systems of medical devices, which are increasingly integrated into the IoT framework. It provides a detailed analysis of key threats to the confidentiality, integrity, and availability of data generated and processed by such devices, considering them as critical components of patient safety. Additionally, the article examines approaches to enhancing the efficiency of medical cyber- physical systems under constraints of limited energy consumption, low computational power, and restricted memory capacity. Solutions are proposed based on the implementation of lightweight cryptographic algorithms, such as lightweight block ciphers and digital signature algorithms, which help reduce energy consumption while ensuring a high level of security. The proposed models aim to ensure the secure processing and transmission of personal medical data, particularly in scenarios of limited network bandwidth and the need to minimize transmission delays. Moreover, the article discusses aspects of the real-time efficient operation of cyber- physical systems, which is critical for the uninterrupted and reliable functioning of medical devices. The article also includes a comparative analysis of existing protection methods and suggests new approaches to improving the overall reliability and efficiency of medical cyber-physical systems.

关键词： Energy consumption Analytical models Medical devices Computational modeling Memory management Cyber-physical systems Real-time systems Encryption Reliability Protection

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Design of an on-chip ultra-small thermo-optic tunable SOI waveguide microdisk resonator for optical information storage

Design of an on-chip ultra-small thermo-optic tunable SOI wa...

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conference on AOPC - Optoelectronics and Nanophotonics

作者： Wang, C. X. Li, Z. S. Yue, J. Lin, H. Zhang, X. C. Zhang, D. M. Chen, C. M. Jilin Univ Coll Elect Sci & Engn State Key Lab Integrated Optoelect Changchun 130012 Peoples R China

ISBN: (纸本)9781510662261;9781510662278

With the development of integrated photonic circuits, optical waveguide microdisk resonators (MRR) devices which can be easily integrated with photonic chips are becoming more and more important in optical communication systems. As the core execution unit to improve response sensitivity, field-programmable gate array, optical waveguide MRR has high applicability in esonators due to its smaller mode volume, and larger free spectral range ( FSR). Specially, SOI waveguide fabrication technology is easy to be compatible with CMOS foundry processing and integrated circuit technology with smaller size and lower cost, so it can overcome the shortcomings of micro resonators fabricated by other materials. And SOI waveguide MRR has important research significance and distinguished application prospects, which has considered to be the future large-scale integrated photonic circuit basic devices. Because of its powerful optical signal processing ability, MRR has been widely used in various optical systems. With the advantages of simple manufacturing process, ease integration, and multitudinous functions, the waveguide MRR has become the basic structural unit of integrated photonic system and considered as the basic device of large-scale integrated optical path. Based on the high thermo-optic (TO) coefficient of Si material, the tunable function of the SOI MRR can be realized by TO modulation. A waveguide MRR with large tuning range, low optical transmission loss, simple electrode fabrication method, and high TO efficiency is proposed. In order to enhance the applicability of the designed SOI waveguide MRR at different wavelength bands, a tunable SOI MRR was designed.

关键词： SOI waveguide microdisk resonator thermo-optic tunable silicon photonics

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