Artificial Intelligence

Please present the advantages and disadvantages of the moral education paths for students today. From there, propose measures to enhance the quality and effectiveness of moral education for students through those paths.

SqlConnection con = new SqlConnection("Data Source=.;Integrated Security=SSPI;Initial Catalog=basic2018");

                SqlConnection con2 = new SqlConnection("Data Source=.;Integrated Security=SSPI;Initial Catalog=basic2018");

                SqlConnection con3 = new SqlConnection("Data Source=.;Integrated Security=SSPI;Initial Catalog=basic2018");

                SqlDataAdapter ad;

                SqlDataAdapter ad1;

                SqlCommand com;


                string sqlString2 = "SELECT     رقم_الحافظة, رقم_الملف, رقم_الوثيقة, نوع_المرفق, رقم_المرفق, عليها_اوساخ_ومواد_عالقة, عليها_دبابيس_ومسامير, تحتاج_إلى_تسطيح, عليها_بقع, عليها_لواصق_كرتونية, زجاجية_شفافة, اللواصق_ثابتة, لواصق_منتزعة, لواصق_شبه_منتزعة,   ممزقة_تحتاج_لترميم, مصابة_بالحموضة, حبرها_حديدي, ملاحظات_أخرى, مختص_التشخيص FROM  bbb  WHERE     (رقم_الحافظة IS NOT NULL) AND (رقم_الملف IS NOT NULL) AND (رقم_الوثيقة IS NOT NULL) ORDER BY رقم_الحافظة, رقم_الملف, رقم_الوثيقة, نوع_المرفق, رقم_المرفق";

                

                ad = new SqlDataAdapter(sqlString2, con);
                DataSet ds = new DataSet();
                ad.Fill(ds, "Bakeel");


                int rowsCount = Convert.ToInt32(ds.Tables["Bakeel"].Rows.Count);

                //int exam_places_id_For_School = 0;


                string strSql = null;


                for (int i = 0; i < rowsCount; i++)
                {
                    
                    int رقم_الحافظة = Convert.ToInt32(ds.Tables["Bakeel"].Rows[i]["رقم_الحافظة"].ToString());
                    int رقم_الملف = Convert.ToInt32(ds.Tables["Bakeel"].Rows[i]["رقم_الملف"].ToString());
                    int رقم_الوثيقة = Convert.ToInt32(ds.Tables["Bakeel"].Rows[i]["رقم_الوثيقة"].ToString());
                    string نوع_المرفق = ds.Tables["Bakeel"].Rows[i]["نوع_المرفق"].ToString();



                    string رقم_المرفق = ds.Tables["Bakeel"].Rows[i]["رقم_المرفق"].ToString();

                    string عليها_اوساخ_ومواد_عالقة = ds.Tables["Bakeel"].Rows[i]["عليها_اوساخ_ومواد_عالقة"].ToString();

                    string عليها_دبابيس_ومسامير = ds.Tables["Bakeel"].Rows[i]["عليها_دبابيس_ومسامير"].ToString();

                    string تحتاج_إلى_تسطيح = ds.Tables["Bakeel"].Rows[i]["تحتاج_إلى_تسطيح"].ToString();

                    string عليها_بقع = ds.Tables["Bakeel"].Rows[i]["عليها_بقع"].ToString();

                    string عليها_لواصق_كرتونية = ds.Tables["Bakeel"].Rows[i]["عليها_لواصق_كرتونية"].ToString();

                    string زجاجية_شفافة = ds.Tables["Bakeel"].Rows[i]["زجاجية_شفافة"].ToString();

                    string اللواصق_ثابتة = ds.Tables["Bakeel"].Rows[i]["اللواصق_ثابتة"].ToString();

                    string لواصق_منتزعة = ds.Tables["Bakeel"].Rows[i]["لواصق_منتزعة"].ToString();

                    string لواصق_شبه_منتزعة = ds.Tables["Bakeel"].Rows[i]["لواصق_شبه_منتزعة"].ToString();

                    string ممزقة_تحتاج_لترميم = ds.Tables["Bakeel"].Rows[i]["ممزقة_تحتاج_لترميم"].ToString();

                    string مصابة_بالحموضة = ds.Tables["Bakeel"].Rows[i]["مصابة_بالحموضة"].ToString();

                    string حبرها_حديدي = ds.Tables["Bakeel"].Rows[i]["حبرها_حديدي"].ToString();

                    string ملاحظات_أخرى = ds.Tables["Bakeel"].Rows[i]["ملاحظات_أخرى"].ToString();

                    string مختص_التشخيص = ds.Tables["Bakeel"].Rows[i]["مختص_التشخيص"].ToString();


                    ////////////////////////////////////////// فحص تكرار البيانات قبل الإدراج

                    string sqlString3 = "SELECT     رقم_الحافظة, رقم_الملف, رقم_الوثيقة, نوع_المرفق, رقم_المرفق, عليها_اوساخ_ومواد_عالقة, عليها_دبابيس_ومسامير, تحتاج_إلى_تسطيح, عليها_بقع, عليها_لواصق_كرتونية, زجاجية_شفافة, اللواصق_ثابتة, لواصق_منتزعة, لواصق_شبه_منتزعة,   ممزقة_تحتاج_لترميم, مصابة_بالحموضة, حبرها_حديدي, ملاحظات_أخرى, مختص_التشخيص FROM  bakeelamer  WHERE     (رقم_الحافظة=" + رقم_الحافظة +") AND (رقم_الملف="+ رقم_الملف +") AND (رقم_الوثيقة="+ رقم_الوثيقة + ") and (نوع_المرفق='"+ نوع_المرفق + "') and (رقم_المرفق='"+ رقم_المرفق + "') and (عليها_اوساخ_ومواد_عالقة='"+ عليها_اوساخ_ومواد_عالقة + "') and  (عليها_دبابيس_ومسامير='"+ عليها_دبابيس_ومسامير +"')   ORDER BY رقم_الحافظة, رقم_الملف, رقم_الوثيقة, نوع_المرفق, رقم_المرفق";

                    SqlDataAdapter ad3 = new SqlDataAdapter(sqlString3, con3);

                    DataTable dt = new DataTable();

                    ad3.Fill(dt);

                    int count3 = dt.Rows.Count;

                    //////////////////////////////////////////
                    if (count3 == 0)
                    {
                        strSql = "insert into  bakeelamer(رقم_الحافظة,رقم_الملف,رقم_الوثيقة,نوع_المرفق,رقم_المرفق,عليها_اوساخ_ومواد_عالقة,عليها_دبابيس_ومسامير,تحتاج_إلى_تسطيح,عليها_بقع,عليها_لواصق_كرتونية,زجاجية_شفافة,اللواصق_ثابتة,لواصق_منتزعة,لواصق_شبه_منتزعة,ممزقة_تحتاج_لترميم,مصابة_بالحموضة,حبرها_حديدي,ملاحظات_أخرى ,مختص_التشخيص )   values(" + رقم_الحافظة + "," + رقم_الملف + "," + رقم_الوثيقة + ",'" + نوع_المرفق + "','" + رقم_المرفق + "','" + عليها_اوساخ_ومواد_عالقة + "','" + عليها_دبابيس_ومسامير + "','" + تحتاج_إلى_تسطيح + "','" + عليها_بقع + "','" + عليها_لواصق_كرتونية + "','" + زجاجية_شفافة + "','" + اللواصق_ثابتة + "','" + لواصق_منتزعة + "','" + لواصق_شبه_منتزعة + "','" + ممزقة_تحتاج_لترميم + "','" + مصابة_بالحموضة + "','" + حبرها_حديدي + "','" + ملاحظات_أخرى + "','" + مختص_التشخيص + "')";


                        com = new SqlCommand(strSql, con2);

                        con2.Open();
                        com.Connection = con2;

                        com.ExecuteNonQuery();
                        con2.Close();
                    }

                    else if(count3 > 0)
                    {
                        i++;
                    }



                    

                }

14:30:00:Object Detection (YOLOv5 6.2): Detecting using license-plate
14:30:00:Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (...7f9def) ['Found DayPlate']  took 67ms
14:30:00:License Plate Reader:  [AttributeError] : Traceback (most recent call last):
  File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR_adapter.py", line 57, in process
    result = await detect_platenumber(self, self.opts, image)
  File "C:\Program Files\CodeProject\AI\modules\ALPR\ALPR.py", line 132, in detect_platenumber
    bounding_box_result = ocr.ocr(numpy_plate, rec=False, cls=False)
AttributeError: 'NoneType' object has no attribute 'ocr'

<pre lang="Terminal">2024-02-14 01:39:57: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom' in Object Detection (YOLOv5 6.2)
2024-02-14 01:39:57: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2024-02-14 01:39:57: Response received (#reqid 85bde494-89d3-429d-a21b-c10b9430c5a8 for command custom)
2024-02-14 01:39:57: Object Detection (YOLOv5 6.2):  [RuntimeError] : Traceback (most recent call last):
  File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2\detect.py", line 141, in do_detection
    det                  = detector(img, size=640)
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl
    return forward_call(*input, **kwargs)
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 669, in forward
    with dt[0]:
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\utils\general.py", line 158, in __enter__
    self.start = self.time()
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\utils\general.py", line 167, in time
    torch.cuda.synchronize()
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\cuda\__init__.py", line 566, in synchronize
    return torch._C._cuda_synchronize()
RuntimeError: CUDA error: an illegal memory access was encountered
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
 in Object Detection (YOLOv5 6.2)

2024-02-18 04:52:40: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2024-02-18 04:52:40: Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (#reqid ad29496b-5caf-4d8b-b02f-7fcc6c7ab605) ['No objects found']  took 22ms
2024-02-18 04:52:40: Client request 'custom' in queue 'objectdetection_queue' (#reqid 7e1b52dd-b880-4c35-b7c6-0f076127faab)
2024-02-18 04:52:40: Request 'custom' dequeued from 'objectdetection_queue' (#reqid 7e1b52dd-b880-4c35-b7c6-0f076127faab)
2024-02-18 04:52:40: Object Detection (YOLOv5 6.2): Retrieved objectdetection_queue command 'custom' in Object Detection (YOLOv5 6.2)
2024-02-18 04:52:40: Object Detection (YOLOv5 6.2): Detecting using ipcam-combined in Object Detection (YOLOv5 6.2)
2024-02-18 04:52:40: Response rec'd from Object Detection (YOLOv5 6.2) command 'custom' (#reqid 7e1b52dd-b880-4c35-b7c6-0f076127faab)
2024-02-18 04:52:40: Object Detection (YOLOv5 6.2):  [RuntimeError] : Traceback (most recent call last):
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 715, in forward
    max_det=self.max_det)  # NMS
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\utils\general.py", line 920, in non_max_suppression
    x = torch.cat((box, conf, j.float(), mask), 1)[conf.view(-1) > conf_thres]
RuntimeError: CUDA error: an illegal instruction was encountered
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Program Files\CodeProject\AI\modules\ObjectDetectionYOLOv5-6.2\detect.py", line 141, in do_detection
    det                  = detector(img, size=640)
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\nn\modules\module.py", line 1190, in _call_impl
    return forward_call(*input, **kwargs)
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context
    return func(*args, **kwargs)
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\models\common.py", line 717, in forward
    scale_boxes(shape1, y[i][:, :4], shape0[i])
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\utils\general.py", line 162, in __exit__
    self.dt = self.time() - self.start  # delta-time
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\yolov5\utils\general.py", line 167, in time
    torch.cuda.synchronize()
  File "C:\Program Files\CodeProject\AI\runtimes\bin\windows\python37\venv\lib\site-packages\torch\cuda\__init__.py", line 566, in synchronize
    return torch._C._cuda_synchronize()
RuntimeError: CUDA error: an illegal instruction was encountered
CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
 in Object Detection (YOLOv5 6.2)

17:34:12:Preparing to install module 'SuperResolution'
17:34:12:Downloading module 'SuperResolution'
17:34:13:Installing module 'SuperResolution'
17:34:13:SuperResolution: Hi Docker! We will disable shared python installs for downloaded modules
17:34:13:SuperResolution: No schemas installed
17:34:13:SuperResolution: (No schemas means: we can't detect if you're in light or dark mode)
17:34:13:SuperResolution: sh: 1: lsmod: not found
17:34:13:SuperResolution:              Installing CodeProject.AI Analysis Module                
17:34:13:SuperResolution: ======================================================================
17:34:13:SuperResolution:                    CodeProject.AI Installer                           
17:34:13:SuperResolution: ======================================================================
17:34:13:SuperResolution: 66.02 GiB  available
17:34:13:SuperResolution: Installing curl...
17:34:13:SuperResolution: WARNING: apt does not have a stable CLI interface. Use with caution in scripts.
17:34:14:SuperResolution: E: Failed to fetch http://security.ubuntu.com/ubuntu/pool/main/c/curl/libcurl4_7.81.0-1ubuntu1.13_amd64.deb  404  Not Found [IP: 91.189.91.83 80]
17:34:14:SuperResolution: E: Failed to fetch http://security.ubuntu.com/ubuntu/pool/main/c/curl/curl_7.81.0-1ubuntu1.13_amd64.deb  404  Not Found [IP: 91.189.91.83 80]
17:34:14:SuperResolution: E: Unable to fetch some archives, maybe run apt-get update or try with --fix-missing?
17:34:14:Module SuperResolution installed successfully.
17:34:14:
17:34:14:Module 'Super Resolution' 1.6 (ID: SuperResolution)
17:34:14:Installer exited with code 10
17:34:14:Module Path:   /app/modules/SuperResolution
17:34:14:AutoStart:     True
17:34:14:Queue:         superresolution_queue
17:34:14:Platforms:     windows,linux,linux-arm64,macos,macos-arm64
17:34:14:GPU:           Support disabled
17:34:14:Parallelism:   1
17:34:14:Accelerator:
17:34:14:Half Precis.:  enable
17:34:14:Runtime:       python38
17:34:14:Runtime Loc:   Local
17:34:14:FilePath:      superres_adapter.py
17:34:14:Pre installed: False
17:34:14:Start pause:   0 sec
17:34:14:LogVerbosity:
17:34:14:Valid:         True
17:34:14:Environment Variables
17:34:14:PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION = python
17:34:14:
17:34:14:Error trying to start Super Resolution (superres_adapter.py)
17:34:14:Module SuperResolution started successfully.
17:34:14:An error occurred trying to start process '/app/modules/SuperResolution/bin/linux/python38/venv/bin/python3' with working directory '/app/modules/SuperResolution'. No such file or directory
17:34:14:   at System.Diagnostics.Process.ForkAndExecProcess(ProcessStartInfo startInfo, String resolvedFilename, String[] argv, String[] envp, String cwd, Boolean setCredentials, UInt32 userId, UInt32 groupId, UInt32[] groups, Int32& stdinFd, Int32& stdoutFd, Int32& stderrFd, Boolean usesTerminal, Boolean throwOnNoExec)
   at System.Diagnostics.Process.StartCore(ProcessStartInfo startInfo)
   at CodeProject.AI.Server.Modules.ModuleProcessServices.StartProcess(ModuleConfig module)
17:34:14:Please check the CodeProject.AI installation completed successfully
17:34:15:Call to Install on module SuperResolution has completed.