DETAILED ACTION
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 .
Claim Rejections - 35 USC § 102
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) 1-2 and 8 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Yoon et al. (US 2008/0307387).
Regarding to claims 1, 8:
Yoon et al. discloses a display control system, comprising one or more processors, the display control system causing at least one of the one or more processors to execute:
a monitoring screen update process of repeatedly updating a monitoring screen showing a performance index value for at least one time point with respect to an element included in a
communication system (paragraph [0026]: The editor 102 displays a result calculated by the code performance analyzer 103);
an action execution process of executing, in response to receiving an instruction to
execute a given action on the element, the action on the element (FIG. 2, steps 210 and 250); and
a monitoring change execution process of executing, when a reception status of the
execution instruction satisfies a given condition (FIG. 2, step 260), at least one of starting display of a predicted value of the performance index value or shortening an update interval of the monitoring screen (Fig. 2, step 280: Display predicted performance of module in editor).
Regarding to claim 2: wherein the display control system causes the at least one of the one or more processors to execute a prediction process of predicting the performance index value of the element, and wherein, when the reception status of the execution instruction satisfies a given condition, the prediction in the prediction process is started, and the display of the predicted value based on the prediction in the monitoring change execution process is started (Yoon et al.: FIG. 2, steps 260, 270, 280).
Claim Rejections - 35 USC § 103
The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action:
A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made.
Claim(s) 5 and 7 is/are rejected under 35 U.S.C. 103 as being unpatentable over Yoon et al. (US 2008/0307387) in view of Posner et al. (US 11568179).
Yoon et al. discloses the claimed invention as discussed above except wherein the display
control system causes the at least one of the one or more processors to execute a machine
learning model determination process of determining a machine learning model which outputs
the predicted value from among a plurality of trained machine learning models, wherein the machine learning model which outputs the predicted value is determined from among the plurality of trained machine learning models based on a prediction accuracy of the predicted value evaluated for each of the plurality of trained machine learning models.
Posner et al. discloses a model analyzer comprising training a plurality of machine learning models and determining, from the trained machine learning models, the most accurate trained model whose accuracy meets an accuracy threshold, to be selected to perform the analysis (Abstract).
Therefore, it would have been obvious for one having ordinary skill in the art before the effective filing date of the claimed invention to modify Yoon’s method to include training a plurality of machine learning and evaluating the trained models for accuracy in order to be able to select the most accurate trained model to perform the analysis to output the performance prediction as taught by Posner et al. (Abstract).
Allowable Subject Matter
Claims 3-4 and 6 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims.
Regarding to claim 3: The primary reasons for the indication of the allowability of the claim is the inclusions therein, in combination as currently claimed, of the limitation that wherein the display control system causes the at least one of the one or more processors to determine, when the reception status of the execution instruction satisfies a given condition, whether to start the prediction in the prediction process based on the performance index value at least one timing at which the execution instruction is received, and wherein, when it is determined to start the prediction in the prediction process, the prediction in the prediction process is started, and the display of the predicted value based on the prediction in the monitoring change execution process is started.
is neither disclosed nor taught by the cited prior art of record, alone or in combination.
Regarding to claim 4: The primary reasons for the indication of the allowability of the claim is the inclusions therein, in combination as currently claimed, of the limitation that wherein, in the monitoring change execution process, when the reception status of the execution instruction satisfies a first condition, the update interval of the monitoring screen is shortened, and when the reception status of the instruction to execute the action after the update interval of the monitoring screen is shortened satisfies a second condition, the display of the predicted value of the performance index value is started is neither disclosed nor taught by the cited prior art of record, alone or in combination.
Regarding to claim 6: The primary reasons for the indication of the allowability of the claim is the inclusions therein, in combination as currently claimed, of the limitation that wherein, in the machine learning model determination process, the machine learning model which outputs the predicted value is determined from among the plurality of trained machine learning models based on a type of the performance index value shown on the monitoring screen and a type of a performance index value included in input data to be input to each of the plurality of trained machine learning models is neither disclosed nor taught by the cited prior art of record, alone or in combination.
CONTACT INFORMATION
Any inquiry concerning this communication or earlier communications from the examiner should be directed to LAM S NGUYEN whose telephone number is (571)272-2151.
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, DOUGLAS RODRIGUEZ, can be reached on 571-431-0716. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300.
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/LAM S NGUYEN/ Primary Examiner, Art Unit 2853
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