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j2me方向的控制的演示,手機(jī)上的up,down,left,right等的控制的和顯示
標(biāo)簽：
right
j2me
down
left
上傳時(shí)間：
2013-11-26
上傳用戶：牛津鞋
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Hidden_Markov_model_for_automatic_speech_recognition
This code implements in C++ a basic LEFT-right hidden Markov model
and corresponding Baum-Welch (ML) training algorithm. It is meant as
an example of the HMM algorithms described by L.Rabiner (1) and
others. Serious students are directed to the sources listed below for
a theoretical description of the algorithm. KF Lee (2) offers an
especially good tutorial of how to build a speech recognition system
using hidden Markov models.
標(biāo)簽：
Hidden_Markov_model_for_automatic
speech_recognition
implements
LEFT-right
上傳時(shí)間：
2016-01-23
上傳用戶：569342831
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坦克大戰(zhàn)小游戲
控制說(shuō)明:
玩家1相關(guān)控制:
A/W/S/D:控制方向
F:開(kāi)火
1 :玩家1復(fù)活
玩家2相關(guān)控制:
UP/LEFT/RIGHT/DOWN:控制方向
0 :開(kāi)火
2 :玩家2復(fù)活
ESC:返回Menu
ENTER:任務(wù)完成/失敗后的確認(rèn)按鍵
功能說(shuō)明:
將敵方坦克消滅完則任務(wù)完成,進(jìn)入下一關(guān),每過(guò)1關(guān),障礙物減少1個(gè),電腦
坦克總數(shù)增加5輛,一次出現(xiàn)最多的電腦坦克數(shù)目增加1.
我方坦克被消滅完則任務(wù)失敗,任務(wù)從第一關(guān)重新開(kāi)始.
擊毀一輛紅色坦克,會(huì)產(chǎn)生一個(gè)寶物,獲取后可以根據(jù)寶物的類型完成相應(yīng)
的功能.
寶物功能描述:
1.獎(jiǎng)勵(lì)玩家一輛坦克
2.炸毀當(dāng)前顯示的所有敵方坦克
3.所有敵方坦克被暫停運(yùn)動(dòng)和開(kāi)火,持續(xù)10秒
4.玩家坦克處于無(wú)敵狀態(tài),持續(xù)15秒
具備多玩家游戲的功能,目前暫定最多支持2人游戲,按1,2,若相應(yīng)玩家坦克
已全部被摧毀,則復(fù)活該玩家的坦克,并設(shè)定該玩家坦克數(shù)量為3,總分清0.
其它說(shuō)明:
作者:朱波 QQ:443581450 Email:kyozb2004@yahoo.com.cn
標(biāo)簽：
控制
RIGHT
LEFT
DOWN
上傳時(shí)間：
2016-07-14
上傳用戶：小草123
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-- DESCRIPTION : Shift register
-- Type : univ
-- Width : 4
-- Shift direction: right/left (right active high)
--
-- CLK active : high
-- CLR active : high
-- CLR type : synchronous
-- SET active : high
-- SET type : synchronous
-- LOAD active : high
-- CE active : high
-- SERIAL input : SI
標(biāo)簽：
Shift
right
DESCRIPTION
direction
上傳時(shí)間：
2013-12-02
上傳用戶：gxrui1991
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超級(jí)瑪麗游戲源碼，絕對(duì)比你玩的跳的高，alt鍵跳，up,down,left,right上下左右
標(biāo)簽：
超級(jí)
源碼
上傳時(shí)間：
2013-12-29
上傳用戶：宋桃子
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-- Simple Robot Control Program
--------------------------------------------------------------------------
-- Left is left IR sensor - 1=object to left
-- Right is rigth IR sensor - 1=object to right
-- Lmotor_dir 1=forward 0=reverse
-- Rmotor_dir 1=forward 0=reverse
-- Lmotor_speed 111=fast 000=slow
-- Rmotor_speed 111=fast 000=slow
標(biāo)簽：
Control
Program
Simple
Robot
上傳時(shí)間：
2013-11-27
上傳用戶：風(fēng)之驕子
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河內(nèi)塔問(wèn)題
#include<stdio.h>
#include<stdlib.h>
int fun_a(int)
void fun_b(int,int,int,int)
int main(void)
{
int n
int option
printf("題目二:河內(nèi)塔問(wèn)題\n")
printf("請(qǐng)輸入要搬移的圓盤數(shù)目\n")
scanf("％d",&n)
printf("最少搬移的次數(shù)為％d次\n",fun_a(n))
printf("是否顯示移動(dòng)過(guò)程? 是請(qǐng)輸入1,否則輸入0\n")
scanf("％d",&option)
if(option==1)
{
fun_b(n,1,2,3)
}
system("pause")
return 0
}
int fun_a(int n)
{
int sum1=2,sum2=0,i
for(i=n i>1 i--)
{
sum1=sum1*2
}
sum2=sum1-1
return sum2
}
void fun_b(int n,int left,int mid,int right)
{
if(n==1)
printf("把第％d個(gè)盤子從第％d座塔移動(dòng)到第％d座塔\n",n,left,right)
else
{
fun_b(n-1,left,right,mid)
printf("把第％d個(gè)盤子從第％d座塔移動(dòng)到第％d座塔\n",n,left,right)
fun_b(n-1,mid,left,right)
}
}
標(biāo)簽：
int
include
stdlib
fun_a
上傳時(shí)間：
2016-12-08
上傳用戶：努力努力再努力
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FileEdit can edit file ,save file ,open file ,have basic simple functions for file .INSERT, BACKSPACE ,TAB,PGUP,PGDOWN,UP,DOWN,LEFT,RIGHT AND SO ON
標(biāo)簽：
file
functions
FileEdit
BACKSPAC
上傳時(shí)間：
2017-01-02
上傳用戶：風(fēng)之驕子
-
An interactive water fountain.
A realistic water source in your pocket with full control.
Controls:
UP/DOWN - go closer/further
LEFT/RIGHT - rotate
# - stop rotation
1/7 - rotate camera up/down
3/9 - change water pressure
4/6 - change water rendering complexity
2/8 - ascend/descend
0 - bullet time
5 - 25 FPS limiter on/off
* - HUD on/off
標(biāo)簽：
water
interactive
realistic
fountain
上傳時(shí)間：
2013-12-19
上傳用戶：yuchunhai1990
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face detection
Face detection can be regarded as a more general case of face localization In face localization, the task is to find the locations and sizes of a known number of faces (usually one). In face detection, one does not have this additional information.
Early face-detection algorithms focused on the detection of frontal human faces, whereas newer algorithms attempt to solve the more general and difficult problem of multi-view face detection. That is, the detection of faces that are either rotated along the axis from the face to the observer (in-plane rotation), or rotated along the vertical or LEFT-right axis (out-of-plane rotation),or both.
標(biāo)簽：
detection
face
localization
regarded
上傳時(shí)間：
2014-01-10
上傳用戶：wfeel
