当我在模拟器中运行我的应用程序时，它会发送一条logcat消息为..
05-29 13:45:06.941: W/ActivityManager(59): Launch timeout has expired, giving up wake lock!
05-29 13:45:07.152: W/ActivityManager(59): Activity idle timeout for HistoryRecord{45163410 com.integrated.mpr/.Progress}
05-29 13:45:07.241: D/dalvikvm(5422): GC_FOR_MALLOC freed 43964 objects / 1967584 bytes in 138ms
05-29 13:45:08.401: D/dalvikvm(5422): GC_FOR_MALLOC freed 73 objects / 536016 bytes in 65ms
05-29 13:45:09.631: W/ActivityManager(59): Activity idle timeout for HistoryRecord{450e8e38 com.integrated.mpr/.SensitiveList}
正在调用的函数 package com.integrated.mpr;
import org.apache.commons.math.linear.RealMatrix;
import org.apache.commons.math.stat.correlation.Covariance;
import org.apache.commons.math.stat.correlation.PearsonsCorrelation;
import org.apache.commons.math.util.FastMath;
import android.util.Log;
public class Logic {
int n = Choose.n;
double final_matrix[][] = new double[n][5];
double swap =0;
double weightage_matrix[] = {0,0,0,0,0,0,0,0,0,0,0};
double sorted_weightage[] = {0,0,0,0,0,0,0,0,0,0};
String display[] = new String[n];
double input_matrix[][] = new double[22050][n];
double[] peak_matrix = new double[n];
double[] sd_matrix = new double[n];
double[] rms_matrix = new double[n];
double[] cf_matrix = new double[n];
double[] mean_matrix = new double[n];
int[] sensitive_positions = new int[n];
double[] new_sensitive = new double[n];
int[] sortsensi = new int[n];
public String[] finaldata(){
for(int i=0;i<n;i++){
peak_matrix[i] = Choose.timedata[i*5+0];
sd_matrix[i] = Choose.timedata[i*5+1];
rms_matrix[i] = Choose.timedata[i*5+2];
cf_matrix[i] = Choose.timedata[i*5+3];
mean_matrix[i] = Choose.timedata[i*5+4];
}
// Arrays sorted in asecnding order
java.util.Arrays.sort(peak_matrix);
java.util.Arrays.sort(sd_matrix);
java.util.Arrays.sort(rms_matrix);
java.util.Arrays.sort(mean_matrix);
java.util.Arrays.sort(cf_matrix);
for(int i = 0;i<n;i++){
final_matrix[i][0]= peak_matrix[i];
final_matrix[i][1]= sd_matrix[i];
final_matrix[i][2]= rms_matrix[i];
final_matrix[i][3]= cf_matrix[i];
final_matrix[i][4]= mean_matrix[i];
}
Log.d("final matrix", "final matrix 0 0" +final_matrix[0][0]);
Log.d("final matrix", "final matrix 1 0" +final_matrix[1][0]);
Log.d("final matrix", "final matrix 2 0" +final_matrix[2][0]);
Log.d("final matrix", "final matrix 3 0" +final_matrix[3][0]);
Log.d("final matrix", "final matrix 4 0" +final_matrix[4][0]);
//final sorted matrix obtained
for(int i =0;i<n;i++){
for(int j=0;j<5;j++){
if(final_matrix[i][j]== Page1.timedata1[j]){
weightage_matrix[0] = weightage_matrix[0]+i+1;
}
else if (final_matrix[i][j]== Page2.timedata2[j]){
weightage_matrix[1] = weightage_matrix[1]+i+1;
}
else if (final_matrix[i][j]== Page3.timedata3[j]){
weightage_matrix[2] = weightage_matrix[2]+i+1;
}
else if (final_matrix[i][j]== Page4.timedata4[j]){
weightage_matrix[3] = weightage_matrix[3]+i+1;
}
else{
weightage_matrix[4] = weightage_matrix[4]+i+1;
}
}
}
//copying the values into sorted matrix;
for(int i=0;i<n;i++){
sorted_weightage[i] = weightage_matrix[i];
}
//sorting weighatge matrix in descending order
for (int i = 0;i<n; i++ )
{
for ( int j = 0 ; j < n-i-1 ; j++ )
{
if ( sorted_weightage[j] <sorted_weightage[j+1] ) {
swap = sorted_weightage[j];
sorted_weightage[j] = sorted_weightage[j+1];
sorted_weightage[j+1] = swap;
}
}
}
// String[] display= new String [n];
/*
Log.d("", "weightage matrix0 " +weightage_matrix[0]);
Log.d("", "weightage matrix0 " +weightage_matrix[1]);
Log.d("", "weightage matrix0 " +weightage_matrix[2]);
Log.d("", "weightage matrix0 " +weightage_matrix[3]);
Log.d("", "weightage matrix0 " +weightage_matrix[4]);
for(int i =0;i<n;i++){
Log.d("posnames", new Choose().posnames[i]);
}
*/
for(int i =0;i<n;i++){
double temp = sorted_weightage[i];
for(int j =0;j<n;j++){
if(temp==weightage_matrix[j]){
sensitive_positions[i]=j+1;
}
}
}
//IT IS RUNNING UPTO THIS POINT AND NOW IT GIVES THE LOGCAT MESSAGE OF LAUNCHTIME
//now for correaltion
// genearting the input matrix for correaltion
for(int i=0;i<n;i++){
for(int j=0;j<22050;j++){
input_matrix[j][i] = new Choose().rawdata[i*22050+j];
}
}
// now generating correlation matrix of N x n by using pearson correaltion
RealMatrix pcorrdata = new PearsonsCorrelation().computeCorrelationMatrix(input_matrix);
Log.d("checkng correlation mtrix", "yup");
for(int i =0;i<n;i++){
for(int j =0;j<n;j++){
if(pcorrdata.getEntry(i, j)<0){
pcorrdata.setEntry(i, j, pcorrdata.getEntry(i, j)*-1);
}
Log.d(" value", ""+pcorrdata.getEntry(i, j));
}
}
for(int i =0;i<n;i++){
Log.d("sensitive osition before correlation", ""+sensitive_positions[i]);
}
int[] perm_sensitive = sensitive_positions;
if((pcorrdata.getEntry(perm_sensitive[0]-1, perm_sensitive[1]-1))>0.5){
sensitive_positions = append(perm_sensitive[1],sensitive_positions);
}
for(int i = 0;i<n;i++){
for(int j =0;j<n;j++){
if(i==sensitive_positions[0]-1){
if((j==sensitive_positions[1]-1)){
if(pcorrdata.getEntry(i, j)>0.5){
sensitive_positions = append(j,sensitive_positions);
}
}
}
}
}
if((pcorrdata.getEntry(perm_sensitive[0]-1, perm_sensitive[2]-1))>0.5){
sensitive_positions = append(perm_sensitive[2],sensitive_positions);
}
if((pcorrdata.getEntry(perm_sensitive[0]-1, perm_sensitive[3]-1))>0.5){
sensitive_positions = append(perm_sensitive[3],sensitive_positions);
}
perm_sensitive = sensitive_positions;
if((pcorrdata.getEntry(perm_sensitive[1]-1, perm_sensitive[2]-1))>0.5){
sensitive_positions = append(perm_sensitive[2],sensitive_positions);
}
if((pcorrdata.getEntry(perm_sensitive[1]-1, perm_sensitive[3]-1))>0.5){
sensitive_positions = append(perm_sensitive[3],sensitive_positions);
}
perm_sensitive = sensitive_positions;
if((pcorrdata.getEntry(perm_sensitive[2]-1, perm_sensitive[3]-1))>0.5){
sensitive_positions = append(perm_sensitive[3],sensitive_positions);
}
for(int i =0;i<n;i++){
Log.d("values aft 6th exchange","" +sensitive_positions[i]);
}
perm_sensitive = sensitive_positions;
Log.d("checkng vales", "after correlation");
for(int i =0;i<n;i++){
Log.d("values",""+perm_sensitive[i]);
}
for(int i =0;i<n;i++){
display[i] = new Choose().posnames[perm_sensitive[i]-1];
}
return display;
}
private int[] append(int j, int[] sensitive_positions) {
// TODO Auto-generated method stub
int[] sort_sensitive = new int[n];
int z = 0;
for(int i =0;i<n;i++){
if(sensitive_positions[i]!=j){
sort_sensitive[z]=sensitive_positions[i];
z = z+1;
}
}
sort_sensitive[n-1] = j;
return sort_sensitive;
}
}
实际上在下一个活动的oncreate方法中，我调用另一个具有一些计算的类的函数。这是原因..如果是的话，我该如何删除它？
但仍然在空白屏幕后，下一个活动会打开..
但是我尝试在手机中运行它，它强行关闭。我怎么能删除这个..请帮帮忙？
答案 0 :(得分：0)
此错误表示您的活动需要很长时间才能启动。如果您在UI线程上进行大量处理，Android会杀死您的应用程序。您应该将AsyncTask用于任何处理密集型的东西。
如果您可以发布代码和SDK版本，我可以提供更多帮助。 stackoverflow上还有另一个关于此的线程。 Activity idle timeout for HistoryRecord?
答案 1 :(得分：0)