1460739939-fc404260-85a4-4f4b-b300-293a0f4d5968

1. A method in a data processing system for transporting a message through a management framework, the method comprising the steps of:
encoding at least one argument of said message in a language-independent form;
conveying said at least one argument of said message in a language-independent form through a management framework;
receiving said at least one argument of said message in a language-independent form at a layer above the management framework; and
decoding said at least one argument of said message in a language-independent form.
2. The method of claim 1, wherein said language-independent form comprises a National Language Support (NLS) form.
3. The method of claim 1, wherein said management framework comprises an intermediate management framework.
4. The method of claim 1, wherein said layer above the management framework comprises a client layer.
5. The method of claim 1, further comprising the step of reconstituting said decoded at least one argument in a specific language form.
6. The method of claim 1, wherein said management framework comprises a Common Information Model (CIM) management framework.
7. The method of claim 1, wherein said management framework comprises a Simple Network Management Protocol (SNMP) management framework.
8. A data processing system for transporting a message through a management framework, comprising:
a first processing unit; and
a second processing unit coupled to said first processing unit, said first processing unit operable to:
encode at least one argument of said message in a language-independent form; and
convey said at least one argument of said message in a language-independent form through a management framework, said second processing unit operable to:
receive said at least one argument of said message in a language-independent form at a layer above the management framework; and
decode said at least one argument of said message in a language-independent form.
9. The data processing system of claim 8, wherein said language-independent form comprises a National Language Support (NLS) form.
10. The data processing system of claim 8, wherein said management framework comprises an intermediate management framework.
11. The data processing system of claim 8, wherein said layer above the management framework comprises a client layer.
12. The data processing system of claim 8, wherein said second processing unit is further operable to:
reconstitute said decoded at least one argument in a specific language form.
13. The data processing system of claim 8, wherein said management framework comprises a Common Information Model (CIM) management framework.
14. The data processing system of claim 8, wherein said management framework comprises a Simple Network Management Protocol (SNMP) management framework.
15. A computer program product in a computer readable medium for transporting a message through a management
placing magnetic field homogeneity enhancing material selected from the group consisting of: silicon dioxide, magnesium oxide and aluminum oxide in a argument of said message in a language-independent form;
second instructions for conveying said at least one argument of said message in a language-independent form through a management framework;
third instructions for receiving said at least one argument of said message in a language-independent form at a layer above the management framework; and
fourth instructions for decoding said at least one argument of said message in a language-independent form.
16. The computer program product of claim 15, wherein said language-independent form comprises a National Language Support (NLS) form.
17. The computer program product of claim 15, wherein said management framework comprises an intermediate management framework.
18. The computer program product of claim 15, wherein said layer above the management framework comprises a client layer.
19. The computer program product of claim 15, further comprising:
fifth instructions for reconstituting said decoded at least one argument in a specific language form.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. An event time stamping system comprising:
a current source;
an integrator comprising an input and an output, wherein the current source is coupled to the input and the output is configured to provide a voltage proportional to a length of time;
one or more switches configured to couple the current source to the input of the integrator upon receipt of an event signal and configured to de-couple the current source from the input of the integrator upon receipt of a control trigger;
a lock-out signal generator configured to generate a lock-out signal; and
a controller coupled to the one or more switches comprising a clock signal generator configured to generate a system clock signal, wherein the controller is configured to generate the control trigger based on the lock-out signal to provide a minimum integration time wherein the minimum integration time comprises a time period of a phase shift between the system clock signal and the lock-out signal.
2. The system of claim 1, wherein the controller generates the control trigger based on the lock-out signal to provide a maximum integration time comprising a sum of the time period of the phase shift between the system clock signal and the lock-out signal and the time period of one complete clock cycle.
3. The system of claim 1, wherein the integrator comprises: an operational transconductance amplifier comprising an input coupled to the input of the integrator and an output coupled to the output of the integrator; and a first integrating capacitor coupled to the input and to the output of the operational transconductance amplifier.
4. The system of claim 1, wherein the integrator comprises a reset switch coupled in parallel with the first integrating capacitor.
5. The system of claim 1, wherein the integrator comprises: a plurality of integrating capacitors; and a plurality of switches coupled to the plurality of integrating capacitors and configured to selectively couple and de-couple each of the plurality of integrating capacitors with the first integrating capacitor.
6. The system of claim 1, comprising: an analog-to-digital converter comprising: a comparator configured to receive an input from a reference signal generator comprising: a first input coupled to the output of the integrator; a second input coupled to the reference signal generator; and an output configured to change states; a digitizing counter configured to start counting upon receipt of a signal from the controller; and a register coupled to the comparator and to the digitizing counter, and configured to latch a value from the digitizing counter when the output of the comparator changes state.
7. The system of claim 4, wherein the reference signal generator is configured to supply an analog ramp signal to the second input of the comparator.
8. A method of manufacturing comprising:
providing a current source;
providing an operational transconductance amplifier having an input and an output;
coupling an integrating capacitor between the input and the output of the amplifier;
coupling one or more switches between the current source and the integrating capacitor;
coupling a controller to the one or more switches; and
configuring the controller to control the one or more switches to de-couple the current source from the integrating capacitor after at least a minimum integration time wherein the minimum integration time comprises the time period of the phase shift between a lock-out signal and a clock signal generated by a lock-out signal generator and a clock signal generator respectively.
9. The method of claim 8, comprising coupling a reset switch in parallel with the integrating capacitor.
10. The method of claim 8, comprising coupling a plurality of parallel integrating capacitors to the output of the amplifier and to the input of the amplifier.
11. The method of claim 10, comprising configuring at least one of the plurality of parallel integrating capacitors such that the at least one integrating capacitor can be disconnected from the amplifier.
12. The time-to-voltage converter of claim 10, wherein the minimum determined time period comprises the phase-shift time period between the clock signal and a lock-out signal.
13. The time-to-voltage converter of claim 10, wherein a maximum determined time period comprises a sum of the phase-shift time period between the clock signal and the lock-out signal and the time period of one cycle of the clock signal.
14. The time-to-voltage converter of claim 9, comprising a reset switch connected in parallel with the feedback capacitor.
15. A time-to-voltage converter comprising:
a current source;
a feedback capacitor;
an operational transconductance amplifier having an output coupled to the feedback capacitor; and
one or more switches configured to couple the current source to the feedback capacitor upon receipt of an event trigger, and configured to de-couple the current source from the feedback capacitor after a minimum determined time period wherein the one or more switches are controlled b a controller configured to generate a clock signal and by a lock-out signal which is phase-shifted from the clock signal.
16. The time-to-voltage converter of claim 9, comprising a plurality of parallel feedback capacitors.
17. The time-to-voltage converter of claim 15, comprising one or more switches in series with a respective one of the plurality of parallel feedback capacitors, the one or more switches configured to disconnect the respective one of the plurality of feedback capacitors from the amplifier.

1460739931-a3230b11-92ef-48c3-83b2-27f97ea38d1e

1. A steel alloy that provides a unique combination of strength, toughness, and ductility said alloy consisting essentially of, in weight percent
C
0.3-0.6
Mn
3.0-4.5
Si
1.0-2.0
Cr
0.6-2.5
Ni
0.6-5.0
Mo + \xbdW
Up to 0.5
Cu
0.3-1.0
Co
0.01 max.
V + 59Nb
0.1-0.5
Ti
0.025 max.
Al
0.025 max.
Ca
0.005 max.
N
\u20020.02 max.
and the balance is iron and the usual impurities, wherein said impurities include not more than about 0.03% phosphorus and not more than about 0.003% sulfur; and wherein
2\u2266(% Si+% Cu)(% V+(59)\xd7% Nb)\u226634.
2. The alloy as claimed in claim 1 wherein (Mo+\xbdW) is at least about 0.20%.
3. The alloy as claimed in claim 2 wherein 3.5\u2266(% Mo+% Cr)(% C)\u22667.5.
4. The alloy as claimed in claim 1 wherein 3.5\u2266% Mn+% Ni\u22668.
5. The alloy as claimed in claim 1 wherein 4.5\u2266(% Si+% Cu)(% V+(59)\xd7% Nb)\u226610.
6. The alloy as claimed in claim 1 which also contains 0.001-0.025% yttrium.
7. The alloy as claimed in claim 1 which also contains 0.001-0.01% magnesium.
8. A steel alloy that provides a unique combination of strength, toughness, and ductility said alloy consisting essentially of, in weight percent
C
0.30-0.45
Mn
3.5-4.5
Si
1.3-1.8
Cr
0.75-2.35
Ni
0.7-4.5
Mo + \xbdW
Up to 0.3
Cu
0.4-0.7
Co
0.01 max.
V + 59Nb
0.2-0.4
Ti
0.020 max.
Al
0.020 max.
Ca
0.002 max.
N
\u20020.02 max.
and the balance is iron and the usual impurities, wherein said impurities include not more than about 0.03% phosphorus and not more than about 0.003% sulfur; and wherein
4.5\u2266(% Si+% Cu)(% V+(59)\xd7% Nb)\u226610.
9. The alloy as claimed in claim 8 wherein (Mo+\xbdW) is at least about 0.20%.
10. The alloy as claimed in claim 9 wherein 3.5\u2266(% Mo+% Cr)(% C)\u22667.5.
11. The alloy as claimed in claim 8 wherein 3.5\u2266% Mn+% Ni\u22668.
12. The alloy as claimed in claim 8 wherein 4.5\u2266(% Si+% Cu)(% V+(59)\xd7% Nb)\u226610.
13. The alloy as claimed in claim 8 which also contains 0.001-0.025% yttrium.
14. The alloy as claimed in claim 8 which also contains 0.001-0.01% magnesium.
15. A steel alloy that provides a unique combination of strength, toughness, and ductility said alloy consisting essentially of, in weight percent
C
0.30-0.40
Mn
3.5-4.5
Si
1.3-1.7
Cr
\u20021.6-2.35
Ni
3.7-4.3
Mo + \xbdW
0.1 max.
Cu
0.4-0.6
Co
0.01 max.
V + 59Nb
0.30-0.40
Ti
0.020 max.
Al
0.020 max.
Ca
0.002 max.
N
\u20020.02 max.
and the balance is iron and the usual impurities, wherein said impurities include not more than about 0.025% phosphorus and not more than about 0.0025% sulfur; and wherein
(a) 4.5\u2266(% Si+% Cu)(% V+(59)\xd7% Nb)\u226610;
(b) 4.25\u2266(% Mo+% Cr)(% C)\u22667.5; and
(c) 3.5\u2266% Mn+% Ni\u22668.0.
16. The alloy as claimed in claim 15 which also contains 0.001-0.025% yttrium.
17. The alloy as claimed in claim 15 which also contains 0.001-0.01% magnesium.
18. A thin gauge article made from the alloy claimed in claim 15.
19. A shaped part made from the thin gauge article claimed in claim 18.
20. A steel alloy that provides a unique combination of strength, toughness, and ductility, said steel consisting essentially of, in weight percent
C
0.30-0.36
Mn
3.5-4.5
Si
1.3-1.7
Cr
0.75-1.5\u2002
Ni
0.7-2.5
Mo + \xbdW
0.15-0.25
Cu
0.4-0.6
Co
0.01 max.
V + 59Nb
0.20-0.30
Ti
0.020 max.
Al
0.020 max.
Ca
0.002 max.
N
\u20020.02 max.
and the balance is iron and the usual impurities, wherein said impurities include not more than about 0.025% phosphorus and not more than about 0.0025% sulfur; and wherein
2\u2266(% Si+% Cu)(% V+(59)\xd7% Nb)\u226634.

The claims below are in addition to those above.
All refrences to claim(s) which appear below refer to the numbering after this setence.

1. A method for detecting a domain generation algorithm (DGA), comprising:
performing processing associated with clustering, utilizing a name-based features clustering module accessing information from an electronic database of NX domain information, the randomly generated domain names based on the similarity in the make-up of the randomly generated domain names;
performing processing associated with clustering, utilizing a graph clustering module, the randomly generated domain names based on the groups of assets that queried the randomly generated domain names;
performing processing associated with determining, utilizing a daily clustering correlation module and a temporal clustering correlation module, which clustered randomly generated domain names are highly correlated in daily use and in time; and
performing processing associated with determining the DGA that generated the clustered randomly generated domain names.
2. The method of claim 1, further comprising: performing processing associated with, determining, whether the DGA is known or unknown.
3. The method of claim 2, further comprising:
if the DGA is known, performing processing associated with modeling the DGA based on the DGA’s characterization; and
if the DGA is unknown, performing processing associated with modeling the DGA.
4. The method of claim 3, further comprising:
performing processing associated with providing a report about the DGA.
5. The method of claim 1, wherein assets within a monitored network that are compromised with DGA-based Dots are detected by analyzing streams of unsuccessful DNS resolutions.
6. The method of claim 1, wherein DNS traffic below the local recursive DNS server is monitored.
7. The method of claim 1, wherein assets infected by known DGA malware andor unknown DGA-based malware are found.
8. The method of claim 2, wherein identification of unknown DGA malware is used to train new models of DGA traffic without reverse engineering andor obtaining the unknown DGA malware.
9. A system for detecting a domain generation algorithm (DGA), comprising:
a processor configured for:
performing processing associated with clustering, utilizing a name-based features clustering module accessing information from an electronic database of NX domain information, the randomly generated domain names based on the similarity in the make-up of the randomly generated domain names;
performing processing associated with clustering, utilizing a graph clustering module, the randomly generated domain names based on the groups of assets that queried the randomly generated domain names;
performing processing associated with determining, utilizing a daily clustering correlation module and a temporal clustering correlation module, which clustered randomly generated domain names are highly correlated in daily use and in time; and
performing processing associated with determining the DGA that generated the clustered randomly generated domain names.
10. The method of claim 9, further comprising: performing processing associated with determining whether the DGA is known or unknown.
11. The method of claim 10, further comprising:
if the DGA is known, performing processing associated with modeling the DGA based on the DGA’s characterization; and
if the DGA is unknown, performing processing associated with modeling the DGA.
12. The method of claim 11,. further comprising:
performing processing associated with providing a report about the DGA.
13. The method of claim 9, wherein assets within a monitored network that are compromised with DGA-based bots are detected by analyzing streams of unsuccessful DNS resolutions.
14. The method of claim 9, wherein DNS traffic below the local recursive DNS server is monitored.
15. The method of claim 9, wherein assets infected by known DGA malware andor unknown DGA-based malware are found.
16. The method of claim 10, wherein identification of unknown DGA malware is used to train new models of DGA traffic without reverse engineering andor obtaining the unknown DGA malware.