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oe1(光电查) - 科学论文

24 条数据
?? 中文(中国)
  • [IEEE 2019 5th International Conference on Advances in Electrical Engineering (ICAEE) - Dhaka, Bangladesh (2019.9.26-2019.9.28)] 2019 5th International Conference on Advances in Electrical Engineering (ICAEE) - Effect of Thermally Evaporated n-CdTe Thin Film for Homojunction CdTe Solar Cell

    摘要: The Internet of Things (IoT) is becoming an attractive system paradigm to realize interconnections through the physical, cyber, and social spaces. During the interactions among the ubiquitous things, security issues become noteworthy, and it is significant to establish enhanced solutions for security protection. In this work, we focus on an existing U2IoT architecture (i.e., unit IoT and ubiquitous IoT), to design an aggregated-proof based hierarchical authentication scheme (APHA) for the layered networks. Concretely, 1) the aggregated-proofs are established for multiple targets to achieve backward and forward anonymous data transmission; 2) the directed path descriptors, homomorphism functions, and Chebyshev chaotic maps are jointly applied for mutual authentication; 3) different access authorities are assigned to achieve hierarchical access control. Meanwhile, the BAN logic formal analysis is performed to prove that the proposed APHA has no obvious security defects, and it is potentially available for the U2IoT architecture and other IoT applications.

    关键词: security,Internet of Things (IoT),U2IoT architecture,authentication protocol

    更新于2025-09-19 17:13:59

  • A novel baseline-based method to detect local structural changes in masonry walls using dense terrestrial laser scanning point clouds

    摘要: The ever-increasing advancement in communication technologies of modern smart objects brings with it a new era of application development for Internet of Things (IoT)-based networks. In particular, owing to the contactless-ness nature and ef?ciency of the data retrieval of mobile smart objects, such as wearable equipment or tailored bio-sensors, several innovative types of healthcare systems with body sensor networks (BSN) have been proposed. In this paper, we introduce a secure IoT-based healthcare system, which operates through the BSN architecture. To simultaneously achieve system ef?ciency and robustness of transmission within public IoT-based communication networks, we utilize robust crypto-primitives to construct two communication mechanisms for ensuring transmission con?dentiality and providing entity authentication among smart objects, the local processing unit and the backend BSN server. Moreover, we realize the implementation of the proposed healthcare system with the Raspberry PI platform to demonstrate the practicability and feasibility of the presented mechanisms.

    关键词: Authentication,internet of things (IoT),body sensor networks,security

    更新于2025-09-19 17:13:59

  • [IEEE 2019 International Conference on Optical MEMS and Nanophotonics (OMN) - Daejeon, Korea (South) (2019.7.28-2019.8.1)] 2019 International Conference on Optical MEMS and Nanophotonics (OMN) - Plasmonic Color Sheet with Al Nano Periodic Structure Formed by Transfer Technique

    摘要: The ever-increasing advancement in communication technologies of modern smart objects brings with it a new era of application development for Internet of Things (IoT)-based networks. In particular, owing to the contactless-ness nature and efficiency of the data retrieval of mobile smart objects, such as wearable equipment or tailored bio-sensors, several innovative types of healthcare systems with body sensor networks (BSN) have been proposed. In this paper, we introduce a secure IoT-based healthcare system, which operates through the BSN architecture. To simultaneously achieve system efficiency and robustness of transmission within public IoT-based communication networks, we utilize robust crypto-primitives to construct two communication mechanisms for ensuring transmission confidentiality and providing entity authentication among smart objects, the local processing unit and the backend BSN server. Moreover, we realize the implementation of the proposed healthcare system with the Raspberry PI platform to demonstrate the practicability and feasibility of the presented mechanisms.

    关键词: security,internet of things (IoT),Authentication,body sensor networks

    更新于2025-09-19 17:13:59

  • [IEEE 2019 TEQIP III Sponsored International Conference on Microwave Integrated Circuits, Photonics and Wireless Networks (IMICPW) - Tiruchirappalli, India (2019.5.22-2019.5.24)] 2019 TEQIP III Sponsored International Conference on Microwave Integrated Circuits, Photonics and Wireless Networks (IMICPW) - L-band Extended National Optical Fiber Network to Achieve the Mission of Digital India

    摘要: To support the increased internet traffic, usage of 4G enabled smartphones and smart application of the Internet of Things (IoT) leads the requirement of spectrally scalable optical transport platform for the existing National Optical Fiber Network (NOFN) in India. Increasing traffic will soon exhaust the Conventional (C)-band. Therefore, we propose the novel architecture and the extension strategy enabling NOFN to consume the Long (L)-band and improve the total fiber capacity. Spectral expansion using L-band enables the twofold total fiber capacity and cost advantage over the already deployed fibers in the country. In this paper, we demonstrate the successful spectral expansion for NOFN enabling the C+L band transmission, two folding the total fiber capacity.

    关键词: Wavelength Division Multiplexing (WDM),Conventional (C)-band,Long (L)-band,Elastic Optical Networks (EON),National Optical Fiber Network (NOFN),Internet of Things (IoT)

    更新于2025-09-16 10:30:52

  • Integrated Light Sensing and Communication for LED Lighting

    摘要: Solid state lighting is nowadays widely diffused both in residential and of?ce or industrial environment. Ambient light sensing to modulate lamp power is typical too, but sensors inside a lamp are a challenge, due to the high ?ux of these sources, which easily saturates nearby light detectors. Usually, separate sensing devices must be introduced in the system, thus increasing complexity and cost. In this work, a methodology will be presented, to allow integration of a light sensing device inside a lamp, using low cost circuitry to mitigate interactions between high power light-emitting diode (LED) sources and sensing photodiodes. Moreover, the same circuit allows visual light communication among sources.

    关键词: LED,sensing,Visual Light Communication (VLC),Internet of Things (IoT),Ambient Light Sensing (ALS)

    更新于2025-09-16 10:30:52

  • [IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Open Circuit Voltages for PERC Local Back Surface Fields Directly Resolved at the Nanoscale

    摘要: Millimeter-sized and low-cost sensor nodes can enable future applications of the Internet of Things (IoT), for which the number of sensors is projected to grow to a trillion within the next decades. RF far-field power transfer is a potential technique for wirelessly powering these sensors since it offers flexible configuration of sensor networks, beamforming capability and a large power transfer range compared to near-field approaches. However, system design for RF power transfer needs to be completely rethought to enable this new paradigm of a trillion IoT sensors. This paper, therefore, presents a comprehensive, system-level analysis strategy and a modular framework for investigating the fundamental efficiency components in an RF power transfer chain. Through this detailed analysis, it is demonstrated that the optimal frequency is primarily determined by the antenna size and the quality factors (Q) of components in the matching network. Millimeter-wave frequencies are shown to be optimal for powering mm-sized sensors for practical matching component Q values. An intuitive explanation of our results is also provided, along with insights for the design and practical implementation of RF power transfer systems for the IoT space.

    关键词: millimeter-sized sensors,RF-DC converter,matching network,Antennas,wireless power transfer,Internet of Things (IoT)

    更新于2025-09-16 10:30:52

  • [IEEE 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) - Faridabad, India (2019.2.14-2019.2.16)] 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon) - IoT Enabled Real-Time Energy Monitoring for Photovoltaic Systems

    摘要: The increasing demand for solar energy, high energy prices, and operational costs are all of which lead to several compelling reasons for the need for energy monitoring. In this paper, an Internet of Things based remote real-time energy monitoring system is developed to monitor the solar power generation. Various current and voltage sensors are integrated with a multipurpose microcontroller for aggregating the data. An IoT analytics platform is adapted to visualize the aggregated data and evaluate the energy generated for a given distributed generation system. This helps in continuous remote monitoring and results in improved efficiency of the power plants. The remote monitoring also helps in identifying various anomalies that may affect the operation of solar panels. The results depict the efficiency and error associated with the developed monitoring system, which proved to be better when compared with conventional energy monitoring systems.

    关键词: Monitoring,Arduino Uno,PV Module,Current Sensor,Internet of Things (IoT),Voltage Sensor

    更新于2025-09-16 10:30:52

  • [IEEE 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA) - Xi'an, China (2019.6.19-2019.6.21)] 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA) - Channel Tracking and Hybrid Energy Beamforming for WPT Enabled IoT System with Mobile mMIMO BS

    摘要: In this paper, we consider the channel tracking and energy hybrid beamforming for the wireless power transfer (WPT) enabled Internet of Things (IoT) system, where the mobile base station (MBS) serves a set of half-duplex (HD) sensors that are uniformly distributed within its coverage area. A linear Kalman filter based multipath channel tracking and hybrid energy beamforming scheme is proposed by investigating the temporal and spatial properties of channel. Firstly, the Doppler frequency offset (DFO) is compensated through beam alignment and capturing the precise angular information from signals. Then, the multipath channel is tracked during the angle of arrival time (AOAT). Finally, the hybrid beamforming is applied to realize downlink WPT and uplink data transmission. The superiority of the proposed scheme is evaluated through simulations.

    关键词: angle of arrival time (AOAT),mobile base station (MBS),wireless power transfer (WPT),hybrid energy beamforming,Kalman filter,Internet of Things (IoT),Channel tracking,Doppler frequency offset (DFO)

    更新于2025-09-11 14:15:04

  • Research on Depth Estimation Method of Light Field Imaging Based on Big Data in Internet of Things From Camera Array

    摘要: In recent years, optical field imaging technology has received extensive attention in the academic circle for its novel imaging characteristics of shooting first and focusing later, variable depth of field, variable viewpoint, and so on. However, the existing optical field acquisition equipment can only acquire a limited number of discrete angle signals, so image aliasing caused by under sampling of optical field angle signals reduces the quality of optical field images. Based on the camera array system as a platform, this paper studies the optical field imaging and depth estimation method based on the Big Data in Internet of Things obtained from camera array around the angle sampling characteristics of the optical field data set, and has achieved some innovative research results in the following aspects. On the basis of analyzing the characteristics of different depth clues in the optical field data set, a depth estimation method combining parallax method and focusing method is proposed. First, this paper analyzes the disparity clues and focus clues contained in the multi-view data set and the light field refocusing image set of the camera array, respectively, and points out the differences and relationships between the two depth clues extraction methods in the light field sampling frequency domain space, that is, the disparity method focuses on the energy concentration characteristics near the frequency domain spatial angle axis, while the focus method focuses on the high frequency proportion of energy distribution on the angle axis. Then, the weighted linear fusion method based on image gradient is used to fuse the two calculation results, which improves the accuracy and robustness of depth estimation. Finally, the results of depth estimation experiments on different sets of scenes show that compared with the method based on a single depth cue, the method in this paper has higher accuracy in depth calculation in discontinuous areas of scene depth and similar texture areas.

    关键词: light field imaging,camera array,depth estimation,image aliasing,Big data in Internet of Things(IoT)

    更新于2025-09-10 09:29:36

  • A Tunable Low-Power Oscillator Based on High-Q Lithium Niobate MEMS Resonators and 65-nm CMOS

    摘要: This paper presents a comprehensive guide to co-design piezoelectric RF-micro-electromechanical system (MEMS) resonators and CMOS for enabling voltage-controlled MEMS oscillators (VCMOs) that harness the best benefits out of both platforms. The analysis, focusing on understanding different tradeoffs among the tuning range, power consumption, gain, and phase noise, is generic to any kind of piezoelectric resonators and specific for Colpitts VCMOs. As a result of this paper, the first VCMO based on the heterogeneous integration of a high-Q lithium niobate (LiNbO3) micromechanical resonator and CMOS has been demonstrated. A LiNbO3 resonator array with a series resonance at 171.1 MHz, a Q of 410, and an electromechanically coupling factor of 12.7% is adopted, while the TSMC 65-nm RF LP CMOS technology is used to implement the feedback and tuning circuitry with an active area of 220 × 70 μm2. The frequency tuning of the VCMO is achieved by programming a binary weighted digital capacitor bank and a varactor that are both connected in series to the resonator. The best measured phase noise performance of the VCMO is ?72 and ?153 dBc/Hz at 1 kHz and 10-MHz offsets from 178.23- and 175.83-MHz carriers, respectively. The VCMO consumes a dc current of 60 μA from a 1.2-V supply while realizing a tuning range of 2.4 MHz (~1.4% fractional tuning range). Such VCMOs can be applied to enable ultralow power, low phase noise, and wideband RF signal synthesis for emerging applications in Internet of Things.

    关键词: RF-micro-electromechanical system (MEMS),lithium niobate (LiNbO3),phase noise,oscillator,Internet of Things (IoT)

    更新于2025-09-10 09:29:36