本課程的重點(diǎn)是介紹GSM系統(tǒng)的協(xié)同工作過(guò)程，涉及內(nèi)容包含：呼叫、位置更新、切換、短消息。對(duì)流程的介紹突出了移動(dòng)特征，具體的信令細(xì)節(jié)本課程不做描述，可以參考ETSI的GSM規(guī)范獲得更加詳細(xì)的內(nèi)容
標(biāo)簽： GSM 協(xié)同工作 過(guò)程
上傳時(shí)間： 2013-12-13
上傳用戶：ZJX5201314
This approach addresses two difficulties simultaneously: 1) the range limitation of mobile robot sensors and 2) the difficulty of detecting buildings in monocular aerial images. With the suggested method building outlines can be detected faster than the mobile robot can explore the area by itself, giving the robot an ability to “see” around corners. At the same time, the approach can compensate for the absence of elevation data in segmentation of aerial images. Our experiments demonstrate that ground-level semantic information (wall estimates) allows to focus the segmentation of the aerial image to find buildings and produce a ground-level semantic map that covers a larger area than can be built using the onboard sensors.
標(biāo)簽： simultaneously difficulties limitation addresses
上傳時(shí)間： 2014-06-11
上傳用戶：waitingfy
.NET平臺(tái)下專題地圖實(shí)現(xiàn)的C#代碼 private void 點(diǎn)密度圖ToolStripMenuItem_Click(object sender, EventArgs e) { //獲取當(dāng)前圖層 ，并把它設(shè)置成IGeoFeatureLayer的實(shí)例 IMap pMap = axMapControl1.Map ILayer pLayer = pMap.get_Layer(0) as IFeatureLayer IFeatureLayer pFeatureLayer = pLayer as IFeatureLayer IGeoFeatureLayer pGeoFeatureLayer = pLayer as IGeoFeatureLayer //獲取圖層上的feature IFeatureClass pFeatureClass = pFeatureLayer.FeatureClass IFeatureCursor pFeatureCursor = pFeatureClass.Search(null, false) IFeature pFeature = pFeatureCursor.NextFeature()
標(biāo)簽： ToolStripMenuItem_Click EventArgs private object
上傳時(shí)間： 2013-11-27
上傳用戶：xlcky
Description The art galleries of the new and very futuristic building of the Center for Balkan Cooperation have the form of polygons (not necessarily convex). When a big exhibition is organized, watching over all of the pictures is a big security concern. Your task is that for a given gallery to write a program which finds the surface of the area of the floor, from which each point on the walls of the gallery is visible. On the figure 1. a map of a gallery is given in some co-ordinate system. The area wanted is shaded on the figure 2.
標(biāo)簽： Description futuristic galleries the
上傳時(shí)間： 2017-02-17
上傳用戶：1427796291
1. socket通信：有客戶端和服務(wù)端的socket代碼。 2. 多線程：客戶端和服務(wù)端各用一線程發(fā)送信息；服務(wù)端另有一監(jiān)聽(tīng)線程，用于把超時(shí)的信息刪除。 這里應(yīng)用到了同步，使兩個(gè)線程可以操作同一個(gè)map。
標(biāo)簽： socket 服務(wù)端 線程 通信
上傳時(shí)間： 2017-02-27
上傳用戶：lanwei
srand[getpid[]] /* initialize some of the memory */ memset[heightmap, 0, MAPSIZE*MAPSIZE] memset[vpage, 0, RENDERWIDTH * RENDERHEIGHT] printf["Creating dx d fractal terrain\n", MAPSIZE, MAPSIZE] heightmap[0] = [rand[] 128] + 64 // initialize starting point on map CreateFractalMap[0, 0, MAPSIZE, MAPSIZE] printf["Smoothing terrain\n"] for [i = 0 i < 5 i++] SmoothMap[] MakeColorMap[]
標(biāo)簽： MAPSIZE initialize heightmap getpid
上傳時(shí)間： 2014-01-04
上傳用戶：ainimao
srand[getpid[]] /* initialize some of the memory */ memset[heightmap, 0, MAPSIZE*MAPSIZE] memset[vpage, 0, RENDERWIDTH * RENDERHEIGHT] printf["Creating dx d fractal terrain\n", MAPSIZE, MAPSIZE] heightmap[0] = [rand[] 128] + 64 // initialize starting point on map CreateFractalMap[0, 0, MAPSIZE, MAPSIZE] printf["Smoothing terrain\n"] for [i = 0 i < 5 i++] SmoothMap[] MakeColorMap[]
標(biāo)簽： MAPSIZE initialize heightmap getpid
上傳時(shí)間： 2013-12-25
上傳用戶：CSUSheep
電話號(hào)碼管理系統(tǒng)，很小的程序，是學(xué)習(xí)stl，自己編的，用map實(shí)現(xiàn)，還有文檔說(shuō)明
標(biāo)簽： 電話 號(hào)碼 管理系統(tǒng)
上傳時(shí)間： 2017-04-02
上傳用戶：181992417
-The existence of numerous imaging modalities makes it possible to present different data present in different modalities together thus forming multimodal images. Component images forming multimodal images should be aligned, or registered so that all the data, coming from the different modalities, are displayed in proper locations. Mutual Information is the similarity measure used in this case for optimizing the two images. This method requires estimating joint histogram of the two images. The fusion of images is the process of combining two or more images into a single image retaining important features from each. The Discrete Wavelet Transform (DWT) has become an attractive tool for fusing multimodal images. In this work it has been used to segment the features of the input images to produce a region map. Features of each region are calculated and a region based approach is used to fuse the images in the wavelet domain.
標(biāo)簽： present modalities existence different
上傳時(shí)間： 2014-03-04
上傳用戶：15736969615
MATLAB implementation of time series prediction Based on the VQTAM method described in the following papers: G. A. Barreto & A. F. R. Araujo (2004) "Identification and Control of Dynamical Systems Using the Self-Organizing Map" IEEE Transactions on Neural Networks, vol. 15, no. 5.
標(biāo)簽： implementation prediction described following
上傳時(shí)間： 2013-12-22
上傳用戶：windwolf2000
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