Mac IE 2021的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Mac IE 2021進入發燒排行的影片

適用於工業物業務聯網MQTT網狀網路和LSTM人工智慧框架

為了解決Mac IE 2021的問題，作者鄧光羽皇 這樣論述：

摘要........................................................iAbstract...................................................ii誌謝......................................................iii目錄.......................................................iv表目錄.....................................................vi圖目錄

....................................................viiChapter 1 Introduction ...................................11.1 Research Motivation................................11.2 Research purposes..................................11.3 Organization of the thesis.........................2Chapter 2 Back

ground Knowledge.............................32.1 Introduction.......................................32.2 MQTT Broker Introduction...........................32.2.1 MQTT Client........................................42.2.2 MQTT Broker........................................52.2.3 Quality of Serv

ice.................................72.3 Mesh Network.......................................92.3.1 Network Architecture of Wireless Mesh Network......92.3.2 Client in Wireless Mesh Network...................10Chapter 3 System Architecture and Sensor Design...........113.1 Introduction...........

...........................113.2 System Hardware Architecture......................133.2.1 System Control Unit...............................143.2.2 Microcontroller Architecture......................153.2.3 Power Management Unit.............................163.2.4 Communication Transmission Uni

t...................173.2.5 Wireless Network Communication Unit...............173.3 Sensor Design.....................................193.3.1 Hall Sensors......................................193.3.2 Voltage Sensor ZMPT107............................243.3.3 Temperature and Humid Sensor DHT11...

.............253.3.4 Vibration Sensor ADXL345..........................27Chapter 4 LSTM Forecasting Time Series and EnergySaving in Mesh Network....................................284.1 Introduction......................................284.2 Data Collection Process...........................284.3

Facebook Prophet Forecasting......................304.4 LSTM Forecasting..................................304.5 Comparison Between Prophet and LSTM...............334.5.1 Results in Facebook Prophet.......................344.5.2 Results in LSTM...................................374.6 Conclusio

n in Forecasting.........................404.7 Low Power in Network Layers.......................404.8 Low Power in Data Link Layers.....................42Chapter 5 System Integration and Experimental Results.....445.1 Network...........................................445.2 Topology.............

.............................455.3 Setting in MQTT Broker............................455.4 Forecasting in LSTM...............................475.4.1 Forecasting Temperature Data......................475.5 Power Consumption in PSM..........................505.6 Power Consumption in MER..........

................505.7 Comparison Between PSM and MER....................52Chapter 6 Conclusions.....................................53Reference.................................................54Appendix..................................................57Extended Abstract............................

.............58