Microprocessors are getting smaller, cheaper and Faster. Every day, it is easier to embed more functionality into a smaller space. Embedded processors have become pervasive, and as time goes on, more and more functions that were once implemented with analog circuitry or with electromechanical assemblies are being realized with microcontrollers, ADCs and DACs. Many of these assemblies that are being supplanted by the microprocessor are controlling dynamic processes, which is a good thing, because the microprocessor coupled with the right software is often the superior device.
上傳時間： 2016-07-20
上傳用戶：kunger
In a world where consumers,businesses and organizations are demanding Faster,amerter and more seamlessly converged information technology and communization services,concepts such as Driverless Cars,combining advanced automatic controls,artficial intelligences and automotive transport technologies are soon expected to become a commercial realty.At the same time,new blueprints such as industrial internet and industry 4.0 are driving the increased digitization of entire industries and economic sectors,boosting efficiencies and productivity.
標簽： ZTE-M-ICT
上傳時間： 2020-06-01
上傳用戶：shancjb
As we enter the next millennium, there are clear technological patterns. First, the electronic industry continues to scale microelectronic structures to achieve Faster devices, new devices, or more per unit area. Secondly, electrostatic charge, electrostatic discharge (ESD), electrical overstress (EOS) and electromagnetic emissions (EMI) continue to be a threat to these scaled structures. This dichotomy presents a dilemma for the scaling of semiconductor technologies and a future threat to new technologies. Technological advancements, material changes, design techniques, and simulation can fend off this growing concern – but to maintain this ever-threatening challenge, one must continue to establish research and education in this issue.
標簽： ESD-Phenomena-and-the-Reliability
上傳時間： 2020-06-05
上傳用戶：shancjb
Thepredecessorvolumeofthisbookwaspublishedin1996.Intheyears since then, some things have changed and some have not. Two of the things that have not changed are the desire for better models and Faster simulations. I performed the original simulations on my “hyperfast” 133-MHz computer! At the time, I thought if I could just getaFastercomputer,allofourSPICEproblemswouldbehistory,right? TodayIamsimulatingonacomputerthathasa2.6-GHzprocessorwith 512 MB of RAM, and I would still say that simulations run too slow. The computer technology has evolved, but so have the models. In 1996 wewereperformingsimulationson100-kHzpowerconverters,whereas today I routinely see 1- and 2-MHz power converters.
標簽： Switch-Mode Simulation Supply Power
上傳時間： 2020-06-07
上傳用戶：shancjb
紅外圖像檢測技術因具有非接觸、快速等優點，被廣泛應用于電力設備的監測與診斷 中，而對設備快速精確地檢測定位是實現自動檢測與診斷的前提。與普通目標的可見光圖像相比， 電力設備的紅外圖像可能存在背景復雜、對比度低、目標特征相近、長寬比偏大等特征，采用原 始的 YOLOv3 模型難以精確定位到目標。針對此問題，該文對 YOLOv3 模型進行改進：在其骨干 網絡中引入跨階段局部模塊；將路徑聚合網絡融合到原模型的特征金字塔結構中；加入馬賽克 （Mosaic）數據增強技術和 Complete-IoU（CIoU）損失函數。將改進后的模型在四類具有相似波紋 外觀結構的電力設備紅外圖像數據集上進行訓練測試，每類的檢測精度均能達到 92%以上。最后， 將該文方法的測試結果與其他三個主流目標檢測模型進行對比評估。結果表明：不同閾值下，該 文提出的改進模型獲得的平均精度均值優于 Faster R-CNN、SSD 和 YOLOv3 模型。改進后的 YOLOv3 模型盡管在檢測速度上相比原 YOLOv3 模型有所犧牲，但仍明顯高于其他兩種模型。對 比結果進一步驗證了所提模型的有效性。
上傳時間： 2021-10-30
上傳用戶：
