diff --git a/.idea/misc.xml b/.idea/misc.xml
index 330b8f6..7cdffb5 100644
--- a/.idea/misc.xml
+++ b/.idea/misc.xml
@@ -1,4 +1,4 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.8 (SettlementPrediction)" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.9 (settle_prediction)" project-jdk-type="Python SDK" />
 </project>
\ No newline at end of file
diff --git a/.idea/other.xml b/.idea/other.xml
new file mode 100644
index 0000000..640fd80
--- /dev/null
+++ b/.idea/other.xml
@@ -0,0 +1,7 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="PySciProjectComponent">
+    <option name="PY_SCI_VIEW" value="true" />
+    <option name="PY_SCI_VIEW_SUGGESTED" value="true" />
+  </component>
+</project>
\ No newline at end of file
diff --git a/Asaoka.py b/Asaoka.py
index 57d56ed..aa77ecc 100644
--- a/Asaoka.py
+++ b/Asaoka.py
@@ -14,35 +14,15 @@ from scipy.interpolate import interp1d
 # Function 섹션
 # =================
 
-# 주어진 계수를 이용하여 쌍곡선 시간-침하 곡선 반환
-def generate_data_hyper(px, pt):
-    return pt / (px[0] * pt + px[1])
-
-
-# 회귀식과 측정치와의 잔차 반환 (비선형 쌍곡선)
-def fun_hyper_nonlinear(px, pt, py):
-    return pt / (px[0] * pt + px[1]) - py
-
-
-# 회귀식과 측정치와의 잔차 반환 (기존 쌍곡선)
-def fun_hyper_original(px, pt, py):
-    return px[0] * pt + px[1] - pt / py
-
-
-# RMSE 산정
-def fun_rmse(py1, py2):
-    mse = np.square(np.subtract(py1, py2)).mean()
-    return np.sqrt(mse)
-
+# 주어진 계수를 이용하여 아사오카법 기반 시간-침하 곡선 반환
 def generate_data_asaoka(px, pt, dt):
     return (px[1] / (1 - px[0])) * (1 - (px[0] ** (pt / dt)))
 
-
+# 아사오카법 목표 함수
 def fun_asaoka(px, ps_b, ps_a):
     return px[0] * ps_b + px[1] - ps_a
 
 
-
 # ====================
 # 파일 읽기, 데이터 설정
 # ====================
@@ -174,9 +154,9 @@ surcharge = np.append(surcharge, surcharge_add)
 # 마지막 인덱스값 재조정
 final_index = time.size
 
-# =========================================================
-# Settlement prediction (nonliner and original hyperbolic)
-# =========================================================
+# ===============================
+# Settlement prediction (Asaoka)
+# ===============================
 
 # 성토 마지막 데이터 추출
 tm_asaoka = time[step_start_index[num_steps - 1]:step_end_index[num_steps - 1]]
@@ -192,7 +172,7 @@ tm_asaoka = tm_asaoka - t0_asaoka
 # 초기 침하량에 대한 침하량 조정
 sm_asaoka = sm_asaoka - s0_asaoka
 
-# 인터폴레이션 함수 설정
+# Interpolation 함수 설정
 inter_fn = interp1d(tm_asaoka, sm_asaoka, kind='cubic')
 
 # 데이터 구축 간격 설정