Mobile communication devices like smart phones or tablet PCs enable us to consume information at every location and at every time. The rapid development of new applications and new services and the demand to access data in real time create an increasing throughput demand. The data have to be transmitted reliably to ensure the desired quality of service. Furthermore, an improved utilization of the bandwidth is desired to reduce the cost of transmission.
標(biāo)簽： Architectures Processing Baseband Signal for
上傳時(shí)間： 2020-05-26
上傳用戶(hù)：shancjb
Over the past few decades, wireless communications and networking have witnessed an unprecedented growth, and have become pervasive much sooner than anyone could have predicted. For example, cellular wireless networks are expected to become the dominant and ubiquitous telecommunication means in the next few decades. The widespread success of cellular and WLAN systems prompts the development of advanced wireless systems to provide access to information services beyond voice such as telecommuting, video conferencing, interactive media, real-time internet gaming, and so on, anytime and anywhere.
標(biāo)簽： Compressive Networks Wireless Sensing for
上傳時(shí)間： 2020-05-27
上傳用戶(hù)：shancjb
In this research, we have designed, developed implemented a wireless sensor networks based smart home for safe, sound and secured living environment for any inhabitant especially elderly living alone. We have explored a methodology for the development of efficient electronic real time data processing system to recognize the behaviour of an elderly person. The ability to determine the wellness of an elderly person living alone in their own home using a robust, flexible and data driven artificially intelligent system has been investigated. A framework integrating temporal and spatial contextual information for determining the wellness of an elderly person has been modelled. A novel behaviour detection process based on the observed sensor data in performing essential daily activities has been designed and developed.
上傳時(shí)間： 2020-06-06
上傳用戶(hù)：shancjb
The term “ smart grid ” defi nes a self - healing network equipped with dynamic optimiza- tion techniques that use real - time measurements to minimize network losses, maintain voltage levels, increase reliability, and improve asset management. The operational data collected by the smart grid and its sub - systems will allow system operators to rapidly identify the best strategy to secure against attacks, vulnerability, and so on, caused by various contingencies. However, the smart grid fi rst depends upon identifying and researching key performance measures, designing and testing appropriate tools, and developing the proper education curriculum to equip current and future personnel with the knowledge and skills for deployment of this highly advanced system.
上傳時(shí)間： 2020-06-07
上傳用戶(hù)：shancjb
This book is about global navigation satellite systems (GNSS), their two main instru- ments, which are a receiver and a simulator, and their applications. The book is based on an operational off-the-shelf real-time software GNSS receiver and off-the-shelf GNSS signalsimulator.Theacademicversionsofthesetoolsarebundledwiththisbookandfree for readers to use for study and research.
標(biāo)簽： Navigation Geophysics Satellite Digital and
上傳時(shí)間： 2020-06-09
上傳用戶(hù)：shancjb
Although state of the art in many typical machine learning tasks, deep learning algorithmsareverycostly interms ofenergyconsumption,duetotheirlargeamount of required computations and huge model sizes. Because of this, deep learning applications on battery-constrained wearables have only been possible through wireless connections with a resourceful cloud. This setup has several drawbacks. First, there are privacy concerns. Cloud computing requires users to share their raw data—images, video, locations, speech—with a remote system. Most users are not willing to do this. Second, the cloud-setup requires users to be connected all the time, which is unfeasible given current cellular coverage. Furthermore, real-time applications require low latency connections, which cannot be guaranteed using the current communication infrastructure. Finally, wireless connections are very inefficient—requiringtoo much energyper transferredbit for real-time data transfer on energy-constrained platforms.
標(biāo)簽： Embedded_Deep_Learning Algorithms
上傳時(shí)間： 2020-06-10
上傳用戶(hù)：shancjb
基于界面操作的人臉心率檢測(cè)的代碼，通過(guò)攝像頭實(shí)時(shí)采集人視頻，并計(jì)算心率(Face the heart rate detection interface operation based on the code, through real-time acquisition one camera video, and rate)
上傳時(shí)間： 2021-02-24
上傳用戶(hù)：
基于TMS320F2812 光伏并網(wǎng)發(fā)電模擬裝置PROTEL設(shè)計(jì)原理圖+PCB+軟件源碼+WORD論文文檔,硬件采用2層板設(shè)計(jì)，PROTEL99SE 設(shè)計(jì)的工程文件，包括完整的原理圖和PCB文件，可以做為你的學(xué)習(xí)設(shè)計(jì)參考。 摘要：本文實(shí)現(xiàn)了一個(gè)基于TMS320F2812 DSP芯片的光伏并網(wǎng)發(fā)電模擬裝置，采用直流穩(wěn)壓源和滑動(dòng)變阻器來(lái)模擬光伏電池。通過(guò)TMS320F2812 DSP芯片ADC模塊實(shí)時(shí)采樣模擬電網(wǎng)電壓的正弦參考信號(hào)、光伏電池輸出電壓、負(fù)載電壓電流反饋信號(hào)等。經(jīng)過(guò)數(shù)據(jù)處理后，用PWM模塊產(chǎn)生實(shí)時(shí)的SPWM 波，控制MOSFET逆變?nèi)珮蜉敵稣也ā１疚挠肞I控制算法實(shí)現(xiàn)了輸出信號(hào)對(duì)給定模擬電網(wǎng)電壓的正弦參考信號(hào)的頻率和相位跟蹤，用恒定電壓法實(shí)現(xiàn)了光伏電池最大功率點(diǎn)跟蹤（MPPT），從而達(dá)到模擬并網(wǎng)的效果。另外本裝置還實(shí)現(xiàn)了光伏電池輸出欠壓、負(fù)載過(guò)流保護(hù)功能以及光伏電池輸出欠壓、過(guò)流保護(hù)自恢復(fù)功能、聲光報(bào)警功能、孤島效應(yīng)的檢測(cè)、保護(hù)與自恢復(fù)功能。系統(tǒng)測(cè)試結(jié)果表明本設(shè)計(jì)完全滿(mǎn)定設(shè)計(jì)要求。關(guān)鍵詞：光伏并網(wǎng)，MPPT，DSP Photovoltaic Grid-connected generation simulator Zhangyuxin，Tantiancheng，Xiewuyang(College of Electrical Engineering, Chongqing University)Abstract: This paper presents a photovoltaic grid-connected generation simulator which is based on TMS320F2812 DSP, with a DC voltage source and a variable resistor to simulate the characteristic of photovoltaic cells. We use the internal AD converter to real-time sampling the referenced grid voltage signal, outputting voltage of photovoltaic, feedback outputting voltage and current signal. The PWM module generates SVPWM according to the calculation of the real-time sampling data, to control the full MOSFET inverter bridge output sine wave. We realized that the output voltage of the simulator can track the frequency and phase of the referenced grid voltage with PI regulation, and the maximum photovoltaic power tracking with constant voltage regulation, thereby achieved the purpose of grid-connected simulation. Additionally, this device has the over-voltage and over-current protection, audible and visual alarm, islanding detecting and protection, and it can recover automatically. The testing shows that our design is feasible.Keywords: Photovoltaic Grid-connected，MPPT，DSP 目錄引言 11. 方案論證 11.1. 總體介紹 11.2. 光伏電池模擬裝置 11.3. DC-AC逆變橋 11.4. MOSFET驅(qū)動(dòng)電路方案 21.5. 逆變電路的變頻控制方案 22. 理論分析與計(jì)算 22.1. SPWM產(chǎn)生 22.1.1. 規(guī)則采樣法 22.1.2. SPWM 脈沖的計(jì)算公式 32.1.3. SPWM 脈沖計(jì)算公式中的參數(shù)計(jì)算 32.1.4. TMS320F2812 DSP控制器的事件管理單元 42.1.5. 軟件設(shè)計(jì)方法 62.2. MPPT的控制方法與參數(shù)計(jì)算 72.3. 同頻、同相的控制方法和參數(shù)計(jì)算 8
標(biāo)簽： tms320f2812 光伏 并網(wǎng)發(fā)電 模擬 protel pcb
上傳時(shí)間： 2021-11-02
上傳用戶(hù)：
74HC595 A4950 MAX3232 ULN2003AD STM32F207VCT6 AD集成封裝庫(kù)，原理圖庫(kù)器件型號(hào)列表：Library Component Count : 53Name Description----------------------------------------------------------------------------------------------------1N4148 High Conductance Fast Diode1N4448 High Conductance Fast Diode1N914 High Conductance Fast Diode1N914A High Conductance Fast Diode1N914B High Conductance Fast Diode1N916 High Conductance Fast Diode1N916A High Conductance Fast Diode1N916B High Conductance Fast Diode2N3904 NPN General Purpose Amplifier74ALS86 74HC595 8M貼片晶振 A4950 直流電機(jī)驅(qū)動(dòng)AO4805CAP CapacitorCAP SMD CapacitorCON2 ConnectorCON2*10 ConnectorCON2*12P ConnectorCON2*7 ConnectorCON2*9 ConnectorCON3 ConnectorCON4 ConnectorCON5 ConnectorCON7 ConnectorCap Pol 極性電解電容DIODE DiodeFUSE1 FuseFUSE2 FuseINDUCTOR2 IRF7351PbF N-MOSJS1-12V-FLED MAX487 MAX809RD R0.125 Less than 1/4 Watt Power Resistor.RES2 RGRPI*4 Res1 ResistorSGM8955XN5G/TR 測(cè)量放大器SM712 SN74LV4052AD SP3232ESST25VF016B-50-4I-S2AFI2C real-time Clock.STM32F107VTC6 STM32F107VTC6SW DIP-4 編碼開(kāi)關(guān)SW-PB SwitchTPS54302 45UA靜態(tài)電流 3ATVS SMBJ30CAULN2003 XC6214XTAL Crystal OscillatorPCB封裝庫(kù)列表：Component Count : 40Component Name-----------------------------------------------4G模塊-外置7D181K0603-LED0603C0603R0805C12061210181232255569-2*1P直針5569-2*2P直針AT-26CAP-D8DO-214AANHSOP-8J-SPDT-5JTAGL
上傳時(shí)間： 2021-11-15
上傳用戶(hù)：ttalli
設(shè)計(jì)了農(nóng)業(yè)溫濕度智能控制系統(tǒng),該系統(tǒng)采用DHT11溫濕度傳感器作為溫濕度采集模塊,單片機(jī)選用AT89C52代替并調(diào)用Virtual terminal模擬串口通信,LCD1604液晶顯示器實(shí)時(shí)顯示溫濕度,實(shí)現(xiàn)了溫濕度的測(cè)量、顯示,可自動(dòng)控制加熱、降溫、加濕、通風(fēng),實(shí)現(xiàn)溫濕度控制以及超限報(bào)警處理,并利用Proteus與Keil進(jìn)行實(shí)際電路的仿真。試驗(yàn)表明,該系統(tǒng)實(shí)現(xiàn)了可靠的溫濕度監(jiān)控。We described the design of an intelligent control system of agriculture temperature and humidity.The system uses DHT11 temperature and humidity sensor as the temperature and humidity acquisition module.The SCM adopts AT89C52 to replace and call the virtual terminal for simulating serial communication.LCD1604 displays temperature and humidity in real time,which implements the measurement and display of temperature and humidity.The system is able to automatically control heating,cooling,humidification and ventilation,to achieve temperature and humidity control and over-limit alarm processing.The system also uses Proteus and Keil for actual circuit simulation.The experiment shows that the system is capable of reliable temperature and humidity monitoring.
標(biāo)簽： at89c52 溫濕度智能控制系統(tǒng)
上傳時(shí)間： 2022-03-26
上傳用戶(hù)：aben
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