diff --git a/batch_process.py b/batch_process.py
index 40103fd..8bb5ede 100644
--- a/batch_process.py
+++ b/batch_process.py
@@ -21,11 +21,9 @@ for (root, directories, files) in os.walk(input_dir):
 
 for input_file in input_files:
     for i in range(20, 100, 20):
-        ERROR = settle_prediction_steps.run_settle_prediction(input_file,
+        ERROR = settle_prediction_steps_main.run_settle_prediction(input_file,
                                                               output_dir, i, 100, False, False)
-
         df.loc[len(df.index)] = [input_file, i, ERROR[0], ERROR[1], ERROR[2],
                                  ERROR[3], ERROR[4], ERROR[5]]
 
-
 df.to_csv('Error.csv')
\ No newline at end of file
diff --git a/settle_prediction_steps_main.py b/settle_prediction_steps_main.py
index 3922303..2581068 100644
--- a/settle_prediction_steps_main.py
+++ b/settle_prediction_steps_main.py
@@ -54,14 +54,20 @@ def run_settle_prediction(input_file, output_dir,
     # 파일 읽기, 데이터 설정
     # ====================
 
+    # 현재 파일 이름 출력
+    print("Working on " + input_file)
+
     # CSV 파일 읽기
-    data = pd.read_csv(input_file)
+    data = pd.read_csv(input_file,  encoding='euc-kr')
 
     # 시간, 침하량, 성토고 배열 생성
     time = data['Time'].to_numpy()
-    settle = data['Settle'].to_numpy()
+    settle = data['Settlement'].to_numpy()
     surcharge = data['Surcharge'].to_numpy()
 
+    # 데이터 닫기
+
+
     # 마지막 계측 데이터 index + 1 파악
     final_index = time.size
 
@@ -120,7 +126,7 @@ def run_settle_prediction(input_file, output_dir,
         step_span = step_end_date - step_start_date
         step_data_num = step_end_index[i] - step_start_index[i] + 1
 
-        if (step_span > 30 and step_data_num > 15):
+        if (step_span > 50 and step_data_num > 15):
             step_start_index_adjust.append((step_start_index[i]))
             step_end_index_adjust.append((step_end_index[i]))
 
@@ -472,7 +478,7 @@ def run_settle_prediction(input_file, output_dir,
     plt.title(filename + ": up to %i%% data used in the final step" % final_step_predict_percent)
 
     # 그래프 저장 (SVG 및 PNG)
-    plt.savefig(output_dir + '/' + filename +' %i percent (SVG).svg' %final_step_predict_percent, bbox_inches='tight')
+    #plt.savefig(output_dir + '/' + filename +' %i percent (SVG).svg' %final_step_predict_percent, bbox_inches='tight')
     plt.savefig(output_dir + '/' + filename +' %i percent (PNG).png' %final_step_predict_percent, bbox_inches='tight')
 
     # 그래프 출력
@@ -489,4 +495,6 @@ def run_settle_prediction(input_file, output_dir,
     # 산정 에러값 반환
     return [RMSE_hyper_original, RMSE_hyper_nonlinear, RMSE_step,
             final_error_hyper_original, final_error_hyper_nonlinear,
-            final_error_step]
\ No newline at end of file
+            final_error_step]
+
+run_settle_prediction('data/1_S-8.csv', 'output', 80, 100, False, False)
\ No newline at end of file