- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Hybrid laser-TIG welding of dissimilar ferrous steels: 10 mm thick low carbon steel to 304 austenitic stainless steel
摘要： This paper introduces an information security threat modeling (ISTM) scheme, which leverages the strengths of software engineering and risk management approaches, called I-SERM. The proposed I-SERM scheme effectively and efficiently prioritizes information security threats for IT systems that utilize a large number of sensors, such as Internet of Things (IoT)-based energy systems. I-SERM operations include determining functional components, identifying associated threat types, analyzing threat items, and prioritizing key threats with the use of software engineering tools such as product flow diagrams, use case diagrams, and data flow diagrams. By simultaneously referring to a proposed STRIDE+p matrix and a defined threat breakdown structure with reference score (TBS+r) scheme, the I-SERM approach enables systematic ISTM. To demonstrate the usability of I-SERM, this study presents a practical case aimed at electricity load balancing on a smart grid. In brief, this study indicates a substantive research direction that combines the advantages of software engineering and risk management into a systematic ISTM process. In addition, the demonstration of I-SERM in practice provides a valuable and practical reference for I-SERM application, and contributes to research in the field of information security designs for IoT-based Energy Internet systems.
关键词： risk management,Internet of Things,software engineering,Energy Internet,threat model
更新于2025-09-11 14:15:04
-
[IEEE 2019 IEEE Energy Conversion Congress and Exposition (ECCE) - Baltimore, MD, USA (2019.9.29-2019.10.3)] 2019 IEEE Energy Conversion Congress and Exposition (ECCE) - An Energy Efficient Li-Fi Transmitter with Single Inductor Multiple Output LED Driver
摘要： High-Efficiency Light-Fidelity (Li-Fi) transmitter for simultaneous illumination and Visible Light Communications (VLC) using LED lighting is presented in this work. The proposed transmitter is based on Single Inductor Multiple Output (SIMO) buck converter with two independently controllable outputs or channels, namely lighting channel and communications channel for enabling flicker free illumination without affecting high-speed modulation of LEDs. By this approach, power converter switching frequency is decoupled from modulation frequency of LEDs, thereby optimizing SIMO converter switching frequency for efficiency and the VLC modulator frequency for high speed data transfers. GaN devices are used to realize VLC modulator for high speed modulation to further enhance the efficiency. Light output with high Color Rendering Index (CRI) is achieved by controlling white LEDs as primary illumination source at lighting channel and red color LEDs at communication channel. Simulations and experimental results to validate the proposed transmitter are presented.
关键词： Single Inductor Multiple Output Converters,Color Rendering Index(CRI),Light-Fidelity(Li-Fi),High Brightness Light Emitting Diodes(HB-LED),Visible Light Communications (VLC),IoT (Internet of Things)
更新于2025-09-11 14:15:04
-
[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
-
[IEEE 2018 Global Internet of Things Summit (GIoTS) - Bilbao, Spain (2018.6.4-2018.6.7)] 2018 Global Internet of Things Summit (GIoTS) - Lighting IoT Test Environment (LITE) Platform: Evaluating Light-Powered, Energy HarvestingEmbedded Systems
摘要： As interest in the Internet of Things (IoT) grows, so does the requirement for distributed sensing, computation, and communication. Some projections reach a scale of over a trillion wireless devices, which creates a battery replacement challenge that is unsustainable for both human resources (replacement effort) and the environment (disposal). One ?eld of research that strives to meet this challenge is energy harvesting (EH) for self-powered systems. Photovoltaic (PV) cells enable EH capabilities and provide high energy density. They are also typically inexpensive, often making them the transducer of choice for self-powered systems. However, the performance of these EH nodes is rarely evaluated under realistic IoT environmental conditions, such as variable indoor lighting. Under low light, PV cells draw very little power and could place the self-powered system in a standby or even nonfunctional state. Most evaluations of EH systems in various lighting environments use software simulations to predict the behaviour of these nodes, but approximate models lack the exactness required to help with veri?cation of hardware in real conditions. Another approach is user testing in the ?eld, but this arduous solution would incur a variety of costs. This paper presents a third alternative: the Lighting IoT Test Environment (LITE) platform. The LITE platform is a tool that provides insight on how light-powered EH systems operate in low lighting environments. The LITE platform is able to physically emulate a variety of indoor and outdoor lighting sources with a novel mapping technique and provide time-series, environmental simulation of that source on a device under test (DUT). The light source emulation and time-series simulation capabilities are characterized with a worst case mean absolute percentage error (MAPE) of 3.2% and MAPE of 0.5%, respectively. By enabling engineers to accurately understand how these self-powered systems work under real world conditions, the LITE platform will better equip them to design, debug, and distribute fully functional and sustainable IoT nodes.
关键词： internet of things,test platform,system on chip,embedded systems,photovoltaic,energy harvesting,veri?cation
更新于2025-09-10 09:29:36
-
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
-
LASSO & LSTM Integrated Temporal Model for Short-term Solar Intensity Forecasting
摘要： As a special form of the Internet of Things, Smart Grid is an internet of both power and information, in which energy management is critical for making the best use of the power from renewable energy resources such as solar and wind, while efficient energy management is hinged upon precise forecasting of power generation from renewable energy resources. In this paper, we propose a novel least absolute shrinkage and selection operator (LASSO) and long short term memory (LSTM) integrated forecasting model for precise short-term prediction of solar intensity based on meteorological data. It is a fusion of a basic time series model, data clustering, a statistical model and machine learning. The proposed scheme first clusters data using k-means++. For each cluster, a distinctive forecasting model is then constructed by applying LSTM, which learns the non-linear relationships, and LASSO, which captures the linear relationship within the data. Simulation results with open-source datasets demonstrate the effectiveness and accuracy of the proposed model in short-term forecasting of solar intensity.
关键词： Internet of Things (IoT),Least absolute shrinkage and selection operator (LASSO),Short-term solar power forecasting,Long short term memory (LSTM),K-means++
更新于2025-09-10 09:29:36
-
[IEEE 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) - Bali, Indonesia (2018.7.24-2018.7.26)] 2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) - Implementation of Solar Tracking System to Maximize Energy Absorption in Wireless Sensor Network
摘要： Wireless Sensor Network is a system to monitor area condition from the different place. WSN is usually located in distant or difficult to reach places, therefore the use of energy is very important and become a big concern. One of the solutions is WSN must be able to generate energy from the renewable energy such as sunlight. There are so many researches which propose the new way of increasing energy produced by solar cells. This is effective but still have a room of improvement such as to ensure maximum absorption energy by solar panels, the direction of the coming light must be perpendicular to the surface solar panels, and this is not yet achieved. Therefore, to improve the efficiency of solar panels, the author took the initiative to combine Maximum Power Point Tracking technology with dual axis solar tracking system to optimize absorption energy by solar panels. The proposed solar tracking technology uses LDR sensors to detect the direction of the coming light, so this system can adjust to various conditions to make sure the absorption is maximum.
关键词： Wireless Sensor Network (WSN),Arduino,Solar Tracking,Internet of Things,Maximum Power Point (MPP)
更新于2025-09-10 09:29:36
-
[IEEE 2018 International Conference on Smart City and Emerging Technology (ICSCET) - Mumbai, India (2018.1.5-2018.1.5)] 2018 International Conference on Smart City and Emerging Technology (ICSCET) - IoT Based Facial Recognition Security System
摘要： In recent years, with the demand for better security, computers have played a large role. Due to their precision, large memory banks and high computing power, considerable development has been made in the area of face recognition. Computers now surpass humans in many face recognition tasks. A human being can remember limited number of faces. But a computer doesn’t have any limits, and can hence be used where large databases of facial records are needed. Such a facial recognition system has many potential applications including crowd and airport surveillance, private security and improved human-computer interaction. Such a system is perfectly suited to fix security issues and offer flexibility to smart house control. This project is aimed to be a complete system for face recognition: easy to build, cheap cost and effective. Main purpose is to be set as an alert for home visitors and provide information about the visitors in a dynamic website and phone application. It can also be used in other fields like industries, offices and even air-ports for identifying wanted people. Among the other bio-metric techniques, face recognition method offers one great advantage which is user friendliness.
关键词： principal component analysis (PCA),global system for mobile communication (GSM),raspberry pi (RPI),universal serial bus (USB),Internet of things (IoT),local area network (LAN)
更新于2025-09-10 09:29:36
-
Four-PAM Modulation of Ambient FM Backscattering for Spectrally Efficient Low-Power Applications
摘要： Ambient backscatter uses radio frequency signals available in the environment (e.g., radio broadcasting, television, or mobile telephony) to transmit data effectively leading to significant energy and cost efficiency increase. This paper presents a novel wireless tag, which for the first time utilizes 4-pulse amplitude modulation technique to modulate the ambient backscattered FM signals in order to send data to a nearby low-cost software defined radio reader. The tag is based on an RF front-end that uses a single transistor controlled by an ultralow-power microcontroller. The microcontroller includes an analog-to-digital converter for sensing and a digital-to-analog converter for RF front-end control. A proof-of-concept prototype is demonstrated in an indoor environment with the low bit rate of 345 b/s and power consumption 27 μW. It operated using a real FM station at 34.5 km away and the tag-to-reader distance was tested at 1 m. The value of energy spent in this modulator was 78.2 nJ/bit at 345 b/s and 27.7 nJ/bit at 10.2 kb/s.
关键词： Internet-of-Things (IoT),backscatter communication,Ambient backscattering,software-defined radio (SDR),pulse amplitude modulation (PAM),FM modulation,radio frequency identification (RFID) sensors
更新于2025-09-10 09:29:36