diff --git a/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Cape.py b/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Cape.py
index da98d5c111..d18b656da9 100644
--- a/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Cape.py
+++ b/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Cape.py
@@ -18,6 +18,14 @@
 # further licensing information.
 ##
 
+#    SOFTWARE HISTORY
+#    
+#    Date            Ticket#       Engineer       Description
+#    ------------    ----------    -----------    --------------------------
+#    --/--/-----                                  Initial creation
+#    May 06, 2014    3101          njensen        Cast numpy shape values to int
+#                                                  for cross platform compatibility
+
 from com.raytheon.uf.common.derivparam.python.function import CapeFuncPythonAdapter as CapeFunc
 from numpy import zeros
 
@@ -90,9 +98,8 @@ def __execute(*args):
     pressureValue = pressure
     pressure = zeros(temperatureValues.shape, temperatureValues.dtype)
     pressure[:] = pressureValue
-    if upperTerminationPressure is None:
-        threeDshape = pressureValues.shape
-        return CapeFunc.capeFunc(useVirtualTemp, pressureValues, temperatureValues, pressure, potentialTemperature, specificHumidity, threeDshape[1], threeDshape[2], threeDshape[0]).__numpy__
-    else:
-        threeDshape = pressureValues.shape
-        return CapeFunc.capeFuncTop(useVirtualTemp, pressureValues, temperatureValues, pressure, potentialTemperature, specificHumidity, upperTerminationPressure, threeDshape[1], threeDshape[2], threeDshape[0]).__numpy__
+    threeDshape = pressureValues.shape
+    if upperTerminationPressure is None:        
+        return CapeFunc.capeFunc(useVirtualTemp, pressureValues, temperatureValues, pressure, potentialTemperature, specificHumidity, int(threeDshape[1]), int(threeDshape[2]), int(threeDshape[0])).__numpy__
+    else:        
+        return CapeFunc.capeFuncTop(useVirtualTemp, pressureValues, temperatureValues, pressure, potentialTemperature, specificHumidity, upperTerminationPressure, int(threeDshape[1]), int(threeDshape[2]), int(threeDshape[0])).__numpy__
diff --git a/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Dcape.py b/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Dcape.py
index 778bab0f56..c8668c0b13 100644
--- a/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Dcape.py
+++ b/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Dcape.py
@@ -24,6 +24,8 @@
 #    ------------    ----------    -----------    --------------------------
 #    Feb 17, 2010    4502          jelkins        Initial Creation.
 #    Jun 05, 2013    2043          bsteffen       Ported from meteolib C
+#    May 06, 2014    3101          njensen        Cast numpy shape values to int
+#                                                  for cross platform compatibility
 
 from numpy import zeros
 from com.raytheon.uf.common.derivparam.python.function import DCapeFuncPythonAdapter as DCapeFunc
@@ -62,5 +64,5 @@ def execute(threeDtemperature, threeDdewpoint, pressure, potentialTemperature, s
     pressure = zeros(potentialTemperature.shape, potentialTemperature.dtype)
     pressure[:] = pressureValue
     threeDshape = threeDpressure.shape
-    return DCapeFunc.dcapeFunc(useVirtualTemp, threeDpressure, threeDtemperature[0], threeDdewpoint[0], pressure, potentialTemperature, specificHumidity, threeDshape[1], threeDshape[2], threeDshape[0], maxEvaporation, maxRelativeHumidity).__numpy__[0]
+    return DCapeFunc.dcapeFunc(useVirtualTemp, threeDpressure, threeDtemperature[0], threeDdewpoint[0], pressure, potentialTemperature, specificHumidity, int(threeDshape[1]), int(threeDshape[2]), int(threeDshape[0]), maxEvaporation, maxRelativeHumidity).__numpy__[0]
 
diff --git a/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Filter.py b/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Filter.py
index 3689fccf16..92f6e41ca8 100644
--- a/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Filter.py
+++ b/edexOsgi/com.raytheon.uf.common.derivparam.python/utility/common_static/base/derivedParameters/functions/Filter.py
@@ -18,6 +18,14 @@
 # further licensing information.
 ###
 
+#    SOFTWARE HISTORY
+#    
+#    Date            Ticket#       Engineer       Description
+#    ------------    ----------    -----------    --------------------------
+#    --/--/-----                                  Initial creation
+#    May 06, 2014    3101          njensen        Cast numpy shape values to int
+#                                                  for cross platform compatibility
+
 from numpy import ndarray, float32, NaN
 from numpy import sin, isnan, invert
 from com.raytheon.uf.common.derivparam.python.function import DistFilterPythonAdapter as DistFilter
@@ -43,7 +51,7 @@ def execute(input, dist, dx, dy, times=1):
     #return executePython(input, npts, times)
 
 def executeJava(input, npts, times):
-    output = DistFilter.filter(input, npts, input.shape[1], input.shape[0], times).__numpy__[0]
+    output = DistFilter.filter(input, npts, int(input.shape[1]), int(input.shape[0]), times).__numpy__[0]
     output[output==1e37] = NaN
     return output