average calculation removed
diff --git a/sensors/syscpu_sensors.py b/sensors/syscpu_sensors.py
index e2f53b7..4e49495 100644
--- a/sensors/syscpu_sensors.py
+++ b/sensors/syscpu_sensors.py
@@ -1,5 +1,3 @@
-import time
-
 from discover import provides
 from utils import SensorInfo, is_dev_accepted
 
@@ -13,9 +11,9 @@
 # 7 - softirq: servicing softirqs
 
 io_values_pos = [
-    (1, 'user_processes', False),
-    (2, 'nice_processes', False),
-    (3, 'system_processes', False),
+    (1, 'user_processes', True),
+    (2, 'nice_processes', True),
+    (3, 'system_processes', True),
     (4, 'idle_time', True),
 ]
 
@@ -25,21 +23,6 @@
                                  'procs_running', 'procs_blocked', 'softirq'),
             allowed_prefixes=None):
     results = {}
-    usage_sum = {}
-    usage_with_idle = {}
-    for line in open('/proc/stat'):
-        vals = line.split()
-        dev_name = vals[0]
-
-        dev_ok = is_dev_accepted(dev_name,
-                                 disallowed_prefixes,
-                                 allowed_prefixes)
-
-        if dev_ok:
-            usage_sum[dev_name] = float(int(vals[1]) + int(vals[2]) + int(vals[3]))
-            usage_with_idle[dev_name] = usage_sum[dev_name] + int(vals[4])
-    # wait for average CPU utilization calc
-    time.sleep(1)
 
     for line in open('/proc/stat'):
         vals = line.split()
@@ -53,15 +36,5 @@
             for pos, name, accum_val in io_values_pos:
                 sensor_name = "{0}.{1}".format(dev_name, name)
                 results[sensor_name] = SensorInfo(int(vals[pos]), accum_val)
-            # utilization calc
-            sensor_name = "{0}.{1}".format(dev_name, "usage_percent")
-
-            usage_sum_last = float(int(vals[1]) + int(vals[2]) + int(vals[3]))
-            usage_with_idle_last = usage_sum_last + int(vals[4])
-            proc = usage_sum_last - usage_sum[dev_name]
-            idle = usage_with_idle_last - usage_with_idle[dev_name]
-            usage = proc / idle
-
-            results[sensor_name] = SensorInfo(usage*100, False)
     return results