diff --git a/exps/LFNA/vis-synthetic.py b/exps/LFNA/vis-synthetic.py
index 5b6ea93..83ee170 100644
--- a/exps/LFNA/vis-synthetic.py
+++ b/exps/LFNA/vis-synthetic.py
@@ -203,7 +203,7 @@ def visualize_env(save_dir, version):
             tick.label.set_fontsize(LabelSize - font_gap)
         if version == "v1":
             cur_ax.set_xlim(-2, 2)
-            cur_ax.set_ylim(-60, 60)
+            cur_ax.set_ylim(-8, 8)
         elif version == "v2":
             cur_ax.set_xlim(-10, 10)
             cur_ax.set_ylim(-60, 60)
diff --git a/lib/datasets/math_adv_funcs.py b/lib/datasets/math_adv_funcs.py
index 4d577ad..2a093c7 100644
--- a/lib/datasets/math_adv_funcs.py
+++ b/lib/datasets/math_adv_funcs.py
@@ -55,6 +55,7 @@ class ComposedSinFunc(FitFunc):
 
     def fit(self, **kwargs):
         num_sin_phase = kwargs.get("num_sin_phase", 7)
+        sin_speed_use_power = kwargs.get("sin_speed_use_power", True)
         min_amplitude = kwargs.get("min_amplitude", 1)
         max_amplitude = kwargs.get("max_amplitude", 4)
         phase_shift = kwargs.get("phase_shift", 0.0)
@@ -67,10 +68,17 @@ class ComposedSinFunc(FitFunc):
             amplitude_scale = kwargs.get("amplitude_scale")
         if kwargs.get("period_phase_shift", None) is None:
             fitting_data = []
-            temp_max_scalar = 2 ** (num_sin_phase - 1)
+            if sin_speed_use_power:
+                temp_max_scalar = 2 ** (num_sin_phase - 1)
+            else:
+                temp_max_scalar = num_sin_phase - 1
             for i in range(num_sin_phase):
-                value = (2 ** i) / temp_max_scalar
-                next_value = (2 ** (i + 1)) / temp_max_scalar
+                if sin_speed_use_power:
+                    value = (2 ** i) / temp_max_scalar
+                    next_value = (2 ** (i + 1)) / temp_max_scalar
+                else:
+                    value = i / temp_max_scalar
+                    next_value = (i + 1) / temp_max_scalar
                 for _phase in (0, 0.25, 0.5, 0.75):
                     inter_value = value + (next_value - value) * _phase
                     fitting_data.append((inter_value, math.pi * (2 * i + _phase)))
diff --git a/lib/datasets/synthetic_core.py b/lib/datasets/synthetic_core.py
index 9d05d7a..0fb7238 100644
--- a/lib/datasets/synthetic_core.py
+++ b/lib/datasets/synthetic_core.py
@@ -33,8 +33,9 @@ def get_synthetic_env(total_timestamp=1000, num_per_task=1000, mode=None, versio
         function = DynamicLinearFunc()
         function_param = dict()
         function_param[0] = ComposedSinFunc(
-            amplitude_scale=ConstantFunc(1.0),
-            period_phase_shift=LinearFunc(params={0: 10, 1: 0}),
+            amplitude_scale=ConstantFunc(3.0),
+            num_sin_phase=9,
+            sin_speed_use_power=False,
         )
         function_param[1] = ConstantFunc(constant=0.9)
     elif version == "v2":