Prosecution Insights
Last updated: August 18, 2026
Application No. 19/077,227

Soft Error Rate Evaluation System

Final Rejection §101§102
Filed
Mar 12, 2025
Priority
May 07, 2024 — JP 2024-075050
Examiner
TRUONG, LOAN
Art Unit
2114
Tech Center
2100 — Computer Architecture & Software
Assignee
Hitachi Ltd.
OA Round
2 (Final)
76%
Grant Probability
Favorable
3-4
OA Rounds
1y 9m
Est. Remaining
88%
With Interview

Examiner Intelligence

Grants 76% — above average
76%
Career Allowance Rate
462 granted / 604 resolved
+21.5% vs TC avg
Moderate +11% lift
Without
With
+11.4%
Interview Lift
resolved cases with interview
Typical timeline
3y 2m
Avg Prosecution
14 currently pending
Career history
633
Total Applications
across all art units

Statute-Specific Performance

§101
8.0%
-32.0% vs TC avg
§103
49.4%
+9.4% vs TC avg
§102
24.8%
-15.2% vs TC avg
§112
8.6%
-31.4% vs TC avg
Black line = Tech Center average estimate • Based on career data from 604 resolved cases

Office Action

§101 §102
Updated DETAILED ACTION This office action is in response to applicant’s remarks filed on May 27, 2026 in application 19/077,227. Claims 1, 3 are presented for examination. Claims 2, 4 are cancelled. Claim 1 is amended. IDS submitted on March 12, 2025 was acknowledged. Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Response to Arguments Applicant's arguments filed May 27, 2026 have been fully considered but they are not persuasive. In regard to the 35 USC 101 rejections, applicant stated that the amended limitation of “without conducting another neutron irradiation test, by using the statistical analysis model” recites an improvement over conventional systems in that it calculates soft error rate without conducting another neutron irradiation test. Examiner disagreed. Using an analysis model is well known in the art for determining without conducting another test. In regard to the 35 USC 102 rejection, applicant stated that Sika does not disclose the amended limitations of “wherein the first feature amount and the second feature amount include at least the number of executions of each instruction, which is a feature amount corresponding to the soft error rate for each functional block include in the logic semiconductor device, and an in memory data residence time.” Examiner disagreed. Based on the broadest interpretation of one of ordinary skill in the art of the claimed limitation “wherein the first feature amount and the second feature amount include at least the number of executions of each instruction” where the extracted feature amount at the time of execution of an evaluation program include at least a number of executions where one execution of an evaluation program instructions is included in the extracted feature would read on the claimed limitation. Furthermore, Sika executing the determining a radiation susceptibility metric for each selected particle strike model and determining a radiation susceptibility metric for the circuit piece (fig. 8A) is equated to the claimed evaluation program and the evaluation target program. For these reasons, the rejections are maintained. Claim Rejections - 35 U.S.C. § 101 35 U.S.C. § 101 reads as follows: Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title. Claims 1, 3 are rejected under 35 U.S.C. § 101 because the claimed invention is directed to an abstract idea without significantly more. As to claim 1: Step 1 Analysis: Is the claim to a process, machine, manufacture or composition of matter? See MPEP § 2106.03. Yes, the claim is to a machine. Step 2A Prong One Analysis: Does the claim recite an abstract idea, law of nature, or natural phenomenon? See MPEP § 2106.04(II)(A)(1). “(b) a statistical analysis modeling procedure of performing statistical analysis modeling from the first feature amount of each of the plurality of irradiation evaluation programs and a soft error rate for each of the plurality of irradiation evaluation programs obtained in a neutron irradiation test conducted in advance, to generate a statistical analysis model; and (d) a soft error rate calculation procedure of calculating a soft error rate of the evaluation target program from the second feature amount of the evaluation target program, without conducting another neutron irradiation test, by using the statistical analysis model.” Yes, the limitation “a statistical analysis modeling procedure” is the abstract idea of a mathematical relationship. See MPEP § 2106.04(a)(2)(I)(A). Yes, the limitation “a soft error rate calculation procedure” is the abstract idea of a mathematical calculation. See MPEP § 2106.04(a)(2)(I)(C). Step 2A Prong Two Analysis: Does the claim recite additional elements that integrate the judicial exception into a practical application? See MPEP § 2106.04(d). “a hardware circuit configured to execute (a) a procedure of extracting a first feature amount at the time of execution of each of a plurality of irradiation evaluation programs from the plurality of irradiation evaluation programs and their program input conditions; and (c) a procedure of extracting a second feature amount at the time of execution of an evaluation target program from the evaluation target program and its program input conditions; wherein the first feature amount and the second feature amount include at least the number of executions of each instruction, which is a feature amount corresponding to the soft error rate for each functional block included in the logic semiconductor device, and an in-memory data residence time” No, the limitation “a procedure of extracting a first feature and a procedure of extracting a second feature, wherein the first feature amount and the second feature amount include at least the number of executions of each instruction, which is a feature amount corresponding to the soft error rate for each functional block included in the logic semiconductor device, and an in-memory data residence time” is an additional element that amounts to adding insignificant extra-solution activity to the judicial exception. See MPEP §§ 2106.04(d), 2106.05(g). No, the limitation “a hardware circuit configured to execute” is an additional element that amounts to adding the words “apply it” (or an equivalent) with the judicial exception or merely uses a computer in its ordinary capacity as a tool to perform an existing process. See MPEP §§ 2106.04(d), 2106.05(f)(2). Step 2B Analysis: Does the claim recite additional elements that amount to significantly more than the judicial exception? See MPEP § 2106.05. “a hardware circuit configured to execute (a) a procedure of extracting a first feature amount at the time of execution of each of a plurality of irradiation evaluation programs from the plurality of irradiation evaluation programs and their program input conditions; and (c) a procedure of extracting a second feature amount at the time of execution of an evaluation target program from the evaluation target program and its program input conditions;” No, the limitation “a procedure of extracting a first feature and a procedure of extracting a second feature, wherein the first feature amount and the second feature amount include at least the number of executions of each instruction, which is a feature amount corresponding to the soft error rate for each functional block included in the logic semiconductor device, and an in-memory data residence time” is an additional element that generally links the use of the judicial exception to a particular technological environment or field of use. See MPEP § 2106.05(h). No, the limitation “a hardware circuit configured to execute” is an additional element that amounts to adding the words “apply it” (or an equivalent) with the judicial exception or merely uses a computer in its ordinary capacity as a tool to perform an existing process. See MPEP § 2106.05(f)(2). As to claim 3: Step 1 Analysis: Is the claim to a process, machine, manufacture or composition of matter? See MPEP § 2106.03. Yes, the claim is to a machine. Step 2A Prong One Analysis: Does the claim recite an abstract idea, law of nature, or natural phenomenon? See MPEP § 2106.04(II)(A)(1). The analysis of the parent claim is incorporated. Step 2A Prong Two Analysis: Does the claim recite additional elements that integrate the judicial exception into a practical application? See MPEP § 2106.04(d). The analysis of the parent claim is incorporated. Step 2B Analysis: Does the claim recite additional elements that amount to significantly more than the judicial exception? See MPEP § 2106.05. The analysis of the parent claim is incorporated. Claim Rejections - 35 USC § 102 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claim(s) 1, 3 is/are rejected under 35 U.S.C. 102(S)(1) as being anticipated by Sika (US 2023/0152367) In regard to claim 1, Sika teaches a soft error rate evaluation system evaluating the radiation resistance of electronic equipment which adopts a logic semiconductor device, comprising: (a) a procedure of extracting a first feature amount at the time of execution of each of a plurality of irradiation evaluation programs from the plurality of irradiation evaluation programs and their program input conditions (semiconductor Design Evaluation module, fig. 10 1016, para. 161, using a semiconductor design functional simulator to determine expected output values for the circuit piece by simulating functionality of the layout information of the circuit piece with the determined stimuli data for the circuit piece, para. 144); (b) a statistical analysis modeling procedure of performing statistical analysis modeling from the first feature amount of each of the plurality of irradiation evaluation programs and a soft error rate for each of the plurality of irradiation evaluation programs obtained in a neutron irradiation test conducted in advance, to generate a statistical analysis model (for each selected particle strike model of a circuit piece, determine a radiation susceptibility metric, fig. 8A, S803, by comparing functional results generated by functional simulation of the particle strike model with functional results generated by functional simulation of the circuit piece, para. 81); (c) a procedure of extracting a second feature amount at the time of execution of an evaluation target program from the evaluation target program and its program input conditions (analog circuit particle strike models, fig. 10 1015, para. 161); and (d) a soft error rate calculation procedure of calculating a soft error rate of the evaluation target program (determines a Soft Error Rate (SER) value and a Failure in Time (FIT) value from the overall radiation-susceptibility metric for the first semiconductor circuit, para. 152-153) from the second feature amount of the evaluation target program by using the statistical analysis model (for each circuit piece, determining a radiation susceptibility metric for the circuit piece based on the radiation susceptibility metrics generated for each selected particle strike model of the circuit piece, para. 81); wherein the first feature amount and the second feature amount include at least the number of executions of each instruction, which is a feature amount corresponding to the soft error rate for each functional block included in the logic semiconductor device, and an in-memory data residence time (the RSAP method begins with a Decomposition Process component separating a placed and routed instance of a candidate semiconductor circuit design into constituent smaller pieces called tiles, fig. 6, para. 66-73, for each selected particle strike model of a circuit piece, determining a radiation susceptibility model and for each circuit piece, determining a radiation susceptibility metric for the circuit piece, fig. 8A, S803, S804, para. 81). In regard to claim 3, Sika teaches the soft error rate evaluation system according to claim 1, wherein the statistical analysis model is a first-order polynomial multiple regression analysis model (strike model library, Soft Error Rates (SER) and Failure In Time (FIT) figures are derived from these design radiation-susceptibility metrics using Bayesian model and analysis, para. 66-73). Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. See PTO 892. Kim et al. (US 2024/0337689) evaluating radiation of a semiconductor device Soeda (US 11,054,460) soft error inspection due to radiation Nakagawa et al. (US 10,686,080) changes mode with regard to soft errors Uezono et al. (US 10,401,424) evaluating and calculating incidence of soft errors Nakagawa et al. (US 2019/0229216) reference value set by the amount of received radiation and the number of soft errors caused in an inspection memory circuit Friend et al. (US 6,909,159) detect radiation via soft error rate, fig. 6 *********** Khan et al. (US 2024/0036993) (Cisco) statistical learning and/or statistical models for SER protection Mishra et al. (US 2023/0185648) predict SER relative to expected SER Sika (US 2021/0148967) (LUCID) SER for radiation-susceptibility analysis Sika (US 2019/0302177) (LUCID) SER for radiation-susceptibility analysis OTA et al. (US 2020/0081757) (Renesas Electronics) SER caused by radiation analysis Lamb (US 2011/0145771) (IBM) comparing the expected result with actual error log for SER estimation Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to LOAN TRUONG whose telephone number is 408-918-7552. The examiner can normally be reached on 10AM-6PM PST M-F. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, Applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Ashish Thomas can be reached on 571-272-0631. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /Loan L.T. Truong/Primary Examiner, Art Unit 2114 Loan.truong@uspto.gov
Read full office action

Prosecution Timeline

Mar 12, 2025
Application Filed
Apr 15, 2026
Non-Final Rejection mailed — §101, §102
May 27, 2026
Response Filed
Aug 06, 2026
Final Rejection mailed — §101, §102 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12693947
CONTROL DEVICE AND METHOD FOR REWRITING CONTROL PROGRAM
4y 0m to grant Granted Jul 28, 2026
Patent 12681819
DATA PROCESSING
7y 0m to grant Granted Jul 14, 2026
Patent 12681816
REPLICATING DATA WITH A DATA ORCHESTRATOR
2y 4m to grant Granted Jul 14, 2026
Patent 12664037
METHOD AND SYSTEM FOR UPGRADING CPE FIRMWARE
2y 6m to grant Granted Jun 23, 2026
Patent 12639154
AUTO-HEALING FOR BLOCKCHAIN CONFIGURATION DRIFTS
1y 11m to grant Granted May 26, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

3-4
Expected OA Rounds
76%
Grant Probability
88%
With Interview (+11.4%)
3y 2m (~1y 9m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 604 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month