j1939 附錄a附錄b
標簽: j1939
上傳時間: 2022-06-09
上傳用戶:
產品型號:VK2C21A/B/C/D 產品品牌:VINKA/永嘉微/永嘉微電 封裝形式:SOP28/24/20/16 裸片:DICE(邦定COB)/COG(邦定玻璃用) 產品年份:新年份 聯 系 人:許碩 Q Q:191 888 5898 聯系手機:18898582398(信) 原廠直銷,工程服務,技術支持,價格最具優勢!QT459 VK2C21A/B/C/D概述: VK2C21是一個點陣式存儲映射的LCD驅動器,可支持最大80點(20SEGx4COM)或者最大128點(16SEGx8COM)的LCD屏。單片機可通過I2C接口配置顯示參數和讀寫顯示數據,也可通過指令進入省電模式。其高抗干擾,低功耗的特性適用于水電氣表以及工控儀表類產品。 特點: ★ 工作電壓 2.4-5.5V ★ 內置32 kHz RC振蕩器 ★ 偏置電壓(BIAS)可配置為1/3、1/4 ★ COM周期(DUTY)可配置為1/4、1/8 ★ 內置顯示RAM為20x4位、16x8位 ★ 幀頻可配置為80Hz、160Hz ★ 省電模式(通過關顯示和關振蕩器進入)
標簽: VK2C21 VK2C21A VK2C21B VK2C21C VK2C21D LCD抗干擾段碼屏驅動 段碼屏驅動抗干擾
上傳時間: 2022-06-09
上傳用戶:2937735731
描述了NTC使用B值計算出實際溫度與輸出的電壓之間的關系。
標簽: ntc計算
上傳時間: 2022-06-15
上傳用戶:
BC20-TE-B NB-Iot 評估板評估板原廠原理圖V1.2。完整對應實物裝置。
上傳時間: 2022-06-17
上傳用戶:
ASR M08-B設置軟件 V3.2 arduino 2560+ASRM08-B測試程序 arduino UNO+ASRM08-B測試程序語音控制臺燈電路圖及C51源碼(不帶校驗碼) 繼電器模塊設置。 ASR M08-B是一款語音識別模塊。首先對模塊添加一些關鍵字,對著該模塊說出關鍵字,串口會返回三位的數,如果是返回特定的三位數字,還會引起ASR M08-B的相關引腳電平的變化。【測試】①打開“ASR M08-B設置軟件 V3.2.exe”。②選擇“串口號”、“打開串口”、點選“十六進制顯示”。③將USB轉串口模塊連接到語音識別模塊上。接線方法如下:語音模塊TXD --> USB模塊RXD語音模塊RXD --> USB模塊TXD語音模塊GND --> USB模塊GND語音模塊3V3 --> USB模塊3V3(此端為3.3V電源供電端。)④將模塊的開關撥到“A”端,最好再按一次上面的大按鈕(按一次即可,為了確保模塊工作在正確的模式)。⑤對著模塊說“開燈”、“關燈”模塊會返回“0B”、“0A”,表示正常(注意:0B對應返回值010,0B對應返回值010,返回是16進制顯示的嘛,設置的時候是10進制設置的)。
標簽: ASR M08-B
上傳時間: 2022-07-06
上傳用戶:aben
摘 要:用一種新的思路和方法,先計算低通、再計算高通濾波器的有關參數,然后組合成帶通濾波器.關鍵詞:濾波器;參數;新思路中圖分類號: TN713. 5 文獻識別碼:B 文章編號:1008 - 1666 (1999) 04 - 0089 - 03A New Consideration of the Band Filter’s CalculationGuo Wencheng( S hao Yang B usiness and Technology school , S haoyang , Hunan ,422000 )Abstract :This essay deals with a new method of calculating the band filters - first calculatingthe relevant parameters of low - pass filters ,then calculating the ones of high - pass filters.Key words :filter ; parameters ;new considercation八十年代后,信息產業得到了迅猛發展. 帶通濾波器在微波通信、廣播電視和精密儀器設備中得到了廣泛應用. 帶通濾波器性能的優劣,對提高接收機信噪比,防止鄰近信道干擾,提高設備的技術指標,有著十分重要的意義.我在長期的教學實踐中,用切比雪夫型方法設計、計算出寬帶濾波器集中參數元件的數據. 該濾波器可運用在檢測微波頻率的儀器和其他設備中. 再將其思路和計算方法介紹給大家,供參考.
上傳時間: 2014-12-28
上傳用戶:Yukiseop
Implemented BFS, DFS and A* To compile this project, use the following command: g++ -o search main.cpp Then you can run it: ./search The input is loaded from a input file in.txt Here is the format of the input file: The first line of the input file shoud contain two chars indicate the source and destination city for breadth first and depth first algorithm. The second line of input file shoud be an integer m indicate the number of connections for the map. Following m lines describe the map, each line represents to one connection in this form: dist city1 city2, which means there is a connection between city1 and city2 with the distance dist. The following input are for A* The following line contains two chars indicate the source and destination city for A* algorithm. Then there is an integer h indicate the number of heuristic. The following h lines is in the form: city dist which means the straight-line distance from the city to B is dist.
標簽: Implemented following compile command
上傳時間: 2014-01-01
上傳用戶:lhc9102
acm HDOJ 1051WoodenSticks Description: There is a pile of n wooden sticks. The length and weight of each stick are known in advance. The sticks are to be processed by a woodworking machine in one by one fashion. It needs some time, called setup time, for the machine to prepare processing a stick. The setup times are associated with cleaning operations and changing tools and shapes in the machine. The setup times of the woodworking machine are given as follows: (a) The setup time for the first wooden stick is 1 minute. (b) Right after processing a stick of length l and weight w , the machine will need no setup time for a stick of length l and weight w if l<=l and w<=w . Otherwise, it will need 1 minute for setup.
標簽: WoodenSticks Description length wooden
上傳時間: 2014-03-08
上傳用戶:netwolf
本程序要求用戶在控制臺里輸入非終極符,終結符與產生式,然后對用戶輸入的文法進行分析,得出first集 與follow 集,并打印出預測分析表用戶決定是否繼續進行句型分析,如繼續則給出符號分析棧的實現,從而判斷剛輸入的句子是否為符合該文法的句子。 該程序遵循LL(1) 文法FIRST(A)的構造:是A的所有可能推導的開頭終結符或可能的ε FOLLOW(A)是所有句型中出現在緊接A之后的非終結符或“#” 預測分析程序 構造LL(1)分析表 ⅰ,構造文法中所有元素的FIRST和FOLLOW集合 ⅱ,對文法G的每個產生式A->α執行第三步和第四步 ⅲ,對每個終結符a∈FIRST(α),把A->α加至M[A,a] ⅳ,若ε∈FIRST(α),則對任何b∈FOLLOW(A)把A->α加至M[A,b]中 ⅴ,把所有無定義的M[A,a]標上“出錯標志”
上傳時間: 2013-12-27
上傳用戶:jackgao
The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra- group similarity while minimizing the inter-group similarity. The first and foremost question needed to be considered in clustering W b sessions is how to measure the similarity between Web sessions.However.there are many shortcomings in traditiona1 measurements.This paper introduces a new method for measuring similarities between Web pages that takes into account not only the URL but also the viewing time of the visited web page.Yhen we give a new method to measure the similarity of Web sessions using sequence alignment and the similarity of W eb page access in detail Experiments have proved that our method is valid and e幣cient.
標簽: sessions clustering similarity Web
上傳時間: 2014-01-11
上傳用戶:songrui