The Technical Field "変数" had 150 patent application filings in the most recent period (2023-01-01 to 2023-02-28). This is a significantly decreased of -79 filings (-34.5%) over 229 they had in the same period of the previous year (2022-01-01 to 2022-02-28).
The highest number of filings in 2020 with 2,011 cases, and their lowest number in 2015 with 1,287 cases.
The mean of the number of filings over the last 5 years (2018 to 2023, 9,466 cases in total) is 1,578, and the median is 1,714. The coefficient of variation (standard deviation/mean) is 0.30, and there have been small fluctuations in the number of filings from year to year.
Index | Value |
---|---|
Average | 1,578 patents |
Std Dev | 468 |
COV | 0.30 |
Year | Cases | YOY |
---|---|---|
2022 year | 1,616 cases | -9.11 % |
2021 year | 1,778 cases | -11.59 % |
2020 year | 2,011 cases | +9.35 % |
This report provides the latest patent analysis information (the IP landscape, including a patent map) on the patent search results of the JP patent database for 変数 for the period of the last 10 years (2014-01-01 to 2024-10-31). You can compare the information in this report with the trends in your competitors’ patent filings and technologies, and use it to search for important patents.
This service provides, free of charge, a patent analysis report based on the latest patent data (Japanese, U.S., European, and PCT application publications) for use in patent searches, patent analysis, and IP landscaping. The service is offered by "Patent Integration" a firm specializing in patent search/patent analysis.
This report includes basic information to help you understand the IP strategy and management of 変数, such as changes in the number of patents/patent applications they have filed, comparisons of the numbers of patents/patent applications filed by their peers and competitors, their top coapplicants (joint research partners, alliance partners), and their most important patents. It can be used in various intellectual property business operations such as IP landscaping, patent search/patent analysis, preparation of intellectual property business evaluation reports, selection of M&A candidates, and selection of alliance partners.
He is a patent attorney at a patent office. He specializes in invention counseling, patent filing, and intellectual property strategies for start-up companies and new businesses in the fields of software, information technology and artificial intelligence. He runs a patent course for beginners on Udemy, an online course provider.
After studying physics at the University of Tokyo as a doctoral student, he was engaged in intellectual property analysis and technology trend research as an in-house patent attorney at a precision equipment manufacturer and at Toyota Central R&D Labs. Inc..
The concept of the "IP landscape" (IPL) has been attracting attention recently.
An IP landscape is not limited to patent information, but also integrates and analyzes business information (e.g., non-patent information such as papers, news releases, stock information, and market information). Intellectual-property-based business management is realized through the analysis of intellectual property information applied to the formulation of management strategies and business strategies. This is a comprehensive approach that includes but not limited to planning of open and closed strategies, selecting M&A candidates, searching for alliance partners, and formulating intellectual property strategies, through the exploitation of intellectual property information.
IP landscaping usually includes patent search and patent analysis. In patent search and patent analysis, it is important to grasp the market position of each company and the overall technological trends and development trends for each technology. More specifically, it is important to understand what intellectual property your own company and other companies hold, what the strengths and weaknesses of other companies are, and how other companies are trying to exploit their intellectual property. In other words, it is important to understand both the business strategy and the intellectual property strategy of each company.
After reading this search report, you may be interested in more detailed patent searches and patent analysis. We offer a service called Patent Integration, which is an integrated patent search and patent analysis service. With reasonable pricing and a simple user interface such that even beginners can quickly search for and analyze patent information by company or technology from a web browser, please consider using it for detailed patent searches, patent analysis, and IP landscaping.
Patent Integration has a patent-landscaping function that can visually represent a set of tens of thousands of patents/patent applications. This allows you to convincingly show the technical positions of your company and its competitors to your management and business strategists in order to formulate management strategies and business strategies.
The changes in the number of patent filings of 変数 over the last 20 years (JP) are shown below.
The change in the number of patents/patent applications is the most basic index in patent analysis. By examining the change in the number of patents/patent applications, you can see the status of technological development and R&D focus for each company or technology. It should be noted that since there is a one and a half year lag between the filing and the laying open of patent applications, it is not possible to analyze the situation more recently than one and half years prior to the present.
In this report, you can only see the change in the number of patents/patent applications by company or technology, whereas Patent Integration allows you to quickly compare the number of patent applications with your competitors in each technical field by cross-referencing with other keywords and patent classifications.
This patent analysis report was created for a patent search set of 15,118 cases retrieved by applying the following search formula and analysis period to the following patent database. Patent information such as a patent analysis result, a patent map, and a patent landscape can be freely used for patent searches, analysis, and work on intellectual property strategies, including IP landscaping.
A patent aanlysis report on the following synonyms was found in the technical term "変数".
The number of patents and changes in the number of patents of other companies (competitors) in the same industry as 変数 are shown below.
Comparison of changes in the number of patents with peers and competitors is an important analytical index for understanding the intellectual property strategies of each company. By checking the transition of the number of patents for each company / competitor, you can check the status of focus on technology development and R&D for each company / technology.
It should be noted that patents have a time lag of one and a half years from filing to publication, so it is not possible to analyze the situation more recent than one and a half years.
If you want to find out more information, " Patent Integration , You can compare the number of patent applications with competitors in each technical field in a short time by multiplying with other keywords and patent classifications.Please use it for more detailed patent information analysis such as selection of M&A candidate destinations and alliance destinations.
Comparing the number of applications of each company, 株式会社日立製作所 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 89 cases, followed by 富士通株式会社 with 87 cases.
Name | Cases |
---|---|
株式会社日立製作所 | 89 cases |
富士通株式会社 | 87 cases |
トヨタ自動車株式会社 | 87 cases |
三菱電機株式会社 | 62 cases |
株式会社東芝 | 52 cases |
インターナショナル・ビジネス・マシーンズ・コーポレーション | 20 cases |
日本電気株式会社 | 19 cases |
日本電信電話株式会社 | 14 cases |
キヤノン株式会社 | 9 cases |
ソニーグループ株式会社 | 2 cases |
Comparing the number of applications of each company, 富士通株式会社 has the highest number of joint applications in the last for the target period (2014 to 2024) with 543 cases, followed by 株式会社日立製作所 with 486 cases.
Name | Cases |
---|---|
富士通株式会社 | 543 cases |
株式会社日立製作所 | 486 cases |
三菱電機株式会社 | 457 cases |
トヨタ自動車株式会社 | 415 cases |
日本電気株式会社 | 408 cases |
日本電信電話株式会社 | 368 cases |
株式会社東芝 | 292 cases |
キヤノン株式会社 | 142 cases |
インターナショナル・ビジネス・マシーンズ・コーポレーション | 91 cases |
ソニーグループ株式会社 | 61 cases |
パナソニックホールディングス株式会社 | 5 cases |
Below is a patent map showing changes in the number of applications for JP patents of 11 companies in the same industry over the past 20 years.
The number of patents and changes in the number of patents of other companies (competitors) in the same industry as 変数 are shown below.
Comparison of changes in the number of patents with peers and competitors is an important analytical index for understanding the intellectual property strategies of each company. By checking the transition of the number of patents for each company / competitor, you can check the status of focus on technology development and R&D for each company / technology.
It should be noted that patents have a time lag of one and a half years from filing to publication, so it is not possible to analyze the situation more recent than one and a half years.
If you want to find out more information, " Patent Integration , You can compare the number of patent applications with competitors in each technical field in a short time by multiplying with other keywords and patent classifications.Please use it for more detailed patent information analysis such as selection of M&A candidate destinations and alliance destinations.
Among the top coapplicants, 株式会社日立製作所 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 89 cases, followed by 富士通株式会社 with 87 cases.
Name | Cases |
---|---|
株式会社日立製作所 | 89 cases |
富士通株式会社 | 87 cases |
トヨタ自動車株式会社 | 87 cases |
三菱電機株式会社 | 62 cases |
株式会社東芝 | 52 cases |
日本電気株式会社 | 19 cases |
日本電信電話株式会社 | 14 cases |
Among the top coapplicants, 富士通株式会社 has the highest number of joint applications in the last for the target period (2014 to 2024) with 543 cases, followed by 株式会社日立製作所 with 486 cases.
Name | Cases |
---|---|
富士通株式会社 | 543 cases |
株式会社日立製作所 | 486 cases |
三菱電機株式会社 | 457 cases |
トヨタ自動車株式会社 | 415 cases |
日本電気株式会社 | 408 cases |
日本電信電話株式会社 | 368 cases |
株式会社東芝 | 292 cases |
Below is a ranking of the number of JP patent applications by 変数’s top 7 coapplicants over the last 20 years.
Below is a patent map showing the changes in the numbers of JP patent filings by 変数’s top 7 coapplicants over the last 20 years.
変数 filed 486 joint applications with 株式会社日立製作所 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 335 cases in total) is 55.8, and the median is 61.5. The coefficient of variation (standard deviation/mean) is 0.4, and there have been big fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2022 with 75 cases, and their lowest number in 2015 with 30 cases.
Index | Value |
---|---|
Average | 55.8 patents |
Std Dev | 20.4 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 75 cases | +11.94 % |
2021 year | 67 cases | -2.90 % |
2020 year | 69 cases | +25.45 % |
変数 filed 543 joint applications with 富士通株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 371 cases in total) is 61.8, and the median is 63.5. The coefficient of variation (standard deviation/mean) is 0.4, and there have been big fluctuations in the number of filings from year to year.
The highest number of filings in 2020 with 95 cases, and their lowest number in 2014 with 34 cases.
Index | Value |
---|---|
Average | 61.8 patents |
Std Dev | 22.6 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 60 cases | -10.45 % |
2021 year | 67 cases | -29.47 % |
2020 year | 95 cases | +28.38 % |
変数 filed 408 joint applications with 日本電気株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 199 cases in total) is 33.2, and the median is 35.0. The coefficient of variation (standard deviation/mean) is 0.6, and there have been relatively large fluctuations in the number of filings from year to year.
The highest number of filings in 2020 with 60 cases, and their lowest number in 2022 with 12 cases.
Index | Value |
---|---|
Average | 33.2 patents |
Std Dev | 20.3 |
COV | 0.6 |
Year | Cases | YOY |
---|---|---|
2022 year | 12 cases | -45.5 % |
2021 year | 22 cases | -63.3 % |
2020 year | 60 cases | +20.00 % |
変数 filed 292 joint applications with 株式会社東芝 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 196 cases in total) is 32.7, and the median is 36.5. The coefficient of variation (standard deviation/mean) is 0.3, and there have been big fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2020 with 44 cases, and their lowest number in 2016 with 17 cases.
Index | Value |
---|---|
Average | 32.7 patents |
Std Dev | 10.7 |
COV | 0.3 |
Year | Cases | YOY |
---|---|---|
2022 year | 39 cases | +56.0 % |
2021 year | 25 cases | -43.2 % |
2020 year | 44 cases | +29.41 % |
変数 filed 457 joint applications with 三菱電機株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 313 cases in total) is 52.2, and the median is 54.0. The coefficient of variation (standard deviation/mean) is 0.4, and there have been big fluctuations in the number of filings from year to year.
The highest number of filings in 2019 with 78 cases, and their lowest number in 2014 with 28 cases.
Index | Value |
---|---|
Average | 52.2 patents |
Std Dev | 18.6 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 42 cases | -31.1 % |
2021 year | 61 cases | -6.15 % |
2020 year | 65 cases | -16.67 % |
The following shows JP patents held by 変数 that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and 変数’s JP patents/patent applications of high importance cited by Examiners in patent examination processes.
By noting the most important patents, you can obtain knowledge of the competitive business environment in which 変数 is placed (e.g., whether it is a fiercely competitive environment or an oligopolistic market and the like). In general, it can be understood that a company with a large number of demands for invalidation trials is developing their business in a business environment where IP disputes are common.
If you want to search for more detailed information, you can use Patent Integration to retrieve and download by company cited patents/patent applications or patents undergoing invalidation trials. You can quickly extract important patents from a patent set that includes multiple competitors by cross-referencing with other keywords and patent classifications. Please consider using it for searches for important patents/patent applications.
In the last 3 years (2021-11-01 ~ 2024-10-31), there were 1 patents Invalidation Trial from third parties. The average number of Invalidation Trial is 1.0 times. The most recently Invalidation Trial patent is 特許6528948 "巻取トルクのバラツキ低減方法並びにフリクション巻軸及び押付け部材稼動数算出装置" (Invalidation Trial day 2024-05-10) .
- | No. | Title | Invalidation Trial days |
---|---|---|---|
1 | 特許6528948 | 巻取トルクのバラツキ低減方法並びにフリクション巻軸及び押付け部材稼動数算出装置 | 2024-05-10 |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 2 patents/patent applications were invalidation trial more than once in the examination process of other patent applications. The mean of the number of invalidation trial is 1.0. The most invalidation trial patent is 特許6650912 "コンピューターのソフトウェアのプログラムにおけるストリームデータ処理" (1 times) , and the next most invalidation trial patent is 特許6528948 "巻取トルクのバラツキ低減方法並びにフリクション巻軸及び押付け部材稼動数算出装置" (1 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6650912 | コンピューターのソフトウェアのプログラムにおけるストリームデータ処理 | 1 times |
2 | 特許6528948 | 巻取トルクのバラツキ低減方法並びにフリクション巻軸及び押付け部材稼動数算出装置 | 1 times |
In the last 3 years (2021-11-01 ~ 2024-10-31), there were 13 patents Opposition from third parties. The average number of Opposition is 1.0 times. The most recently Opposition patent is 特許7421861 "溶着された基材を製造するための方法、プロセス、及び装置" (Opposition day 2024-07-23) , next is 特許7346356 "予測装置および予測方法" (Opposition day 2024-02-22) .
- | No. | Title | Opposition days |
---|---|---|---|
1 | 特許7421861 | 溶着された基材を製造するための方法、プロセス、及び装置 | 2024-07-23 |
2 | 特許7346356 | 予測装置および予測方法 | 2024-02-22 |
3 | 特許7258046 | 経路決定装置、ロボット及び経路決定方法 | 2023-10-12 |
4 | 特許7104121 | 故障予知装置、故障予知システム及び故障予知方法 | 2023-01-17 |
5 | 特許7088940 | 化粧料の使用触感を評価する方法、及び化粧料の使用触感を評価する装置 | 2022-12-20 |
6 | 特許7088399 | ノボラック型フェノール樹脂の探索方法、情報処理装置、及びプログラム | 2022-12-19 |
7 | 特許7032485 | 水処理又は汚泥処理システムの運転制御方法 | 2022-08-31 |
8 | 特許6952218 | 衝突防止の方法およびレーザマシニングツール | 2022-04-19 |
9 | 特許6941083 | 水処理方法および水処理システム | 2022-03-29 |
10 | 特許6912629 | 電子線照射装置及び電子線照射装置の製造方法 | 2022-01-14 |
In the last 3 years (2021-11-01 ~ 2024-10-31), there were 35 patents Protest from third parties. The average number of Protest is 1.2 times. The most recently Protest patent is 特表2023-532989 "食品、花、及び植物の改善された保管及び/又は輸送" (Protest day 2024-07-26) , next is 特開2024-064000 "酸化物蛍光体、発光装置及び酸化物蛍光体の製造方法" (Protest day 2024-06-10) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 特表2023-532989 | 食品、花、及び植物の改善された保管及び/又は輸送 | 2024-07-26 |
2 | 特開2024-064000 | 酸化物蛍光体、発光装置及び酸化物蛍光体の製造方法 | 2024-06-10 |
3 | 特表2021-534548 | 直流電流によりパイプライン内の流体を加熱するためのデバイスおよび方法 | 2024-06-07 |
4 | 特開2022-084328 | 電力需要予測システム及び電力需要予測方法 | 2024-04-26 |
5 | 特開2022-147839 | 学習モデル生成方法、情報処理装置、予測方法、情報処理プログラム、および、化粧品の製造方法 | 2024-04-15 |
6 | 特表2023-515389 | 根菜類を収穫するかつ/または分離する機械を動作させるための方法、関連する機械、および関連するコンピュータプログラム製品 | 2024-04-05 |
7 | 特開2023-017169 | フィルム検査装置、フィルム検査方法及びプログラム | 2024-01-31 |
8 | 特開2023-103485 | 化粧料の使用触感を評価する方法、及び化粧料の使用触感を評価する装置 | 2023-12-27 |
9 | 特許7512090 | 地震動評価モデル生成方法、地震動評価モデル生成装置、地震動評価方法、及び、地震動評価装置 | 2023-12-25 |
10 | 特許7512091 | 地震動評価モデル生成方法、地震動評価モデル生成装置、地震動評価方法、及び、地震動評価装置 | 2023-12-25 |
11 | 特許7576447 | タイヤ設計方法、プログラム及びタイヤ設計装置 | 2023-11-08 |
12 | 特開2021-005264 | BIMパーツ、プログラムおよび設計支援方法 | 2023-08-23 |
13 | 特開2022-042859 | 熱間押出プロセスからのスパッタリング法による薄膜コーティング技術のための銅ターゲットの製造 | 2023-08-07 |
14 | 特開2022-013310 | 高分子原材料データ解析装置および高分子原材料データ解析方法 | 2023-06-30 |
15 | 特許7443051 | ごみ焼却炉の燃焼制御方法 | 2023-06-20 |
16 | 特許7386363 | 感覚制御方法、感覚制御システム、変換モデル生成方法、変換モデル生成システム、関係式変換方法、およびプログラム | 2023-05-23 |
17 | 特許7352070 | データ処理方法、データ処理装置、及びプログラム | 2023-04-12 |
18 | 特開2022-092308 | 設計支援装置、設計支援方法及び設計支援プログラム | 2023-02-21 |
19 | 特開2022-092297 | 設計支援装置、設計支援方法及び設計支援プログラム | 2023-02-21 |
20 | 特許7428579 | 遊技機 | 2023-02-15 |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 61 patents/patent applications were protest more than once in the examination process of other patent applications. The mean of the number of protest is 1.2. The most protest patent is 特許6587556 "情報処理装置及び情報処理方法" (5 times) , and the next most protest patent is 特開2016-035763 "国政選挙といった情勢調査が公表される場合に事前標本調査から母集団を推定する方法" (3 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6587556 | 情報処理装置及び情報処理方法 | 5 times |
2 | 特開2016-035763 | 国政選挙といった情勢調査が公表される場合に事前標本調査から母集団を推定する方法 | 3 times |
3 | 特許6606482 | 情報処理装置及び情報処理方法 | 3 times |
4 | 特許7443051 | ごみ焼却炉の燃焼制御方法 | 2 times |
5 | 特許7098327 | 情報処理システム、関数作成方法および関数作成プログラム | 2 times |
In the last 3 years (2021-11-01 ~ 2024-10-31), there were 72 patents Inspection from third parties. The average number of Inspection is 1.2 times. The most recently Inspection patent is 特許7167084 "異常検出システム、異常検出方法、異常検出プログラム及び学習済モデル生成方法" (Inspection day 2024-09-06) , next is 特許7086371 "電線共同溝の管路設計プログラム。" (Inspection day 2024-09-03) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特許7167084 | 異常検出システム、異常検出方法、異常検出プログラム及び学習済モデル生成方法 | 2024-09-06 |
2 | 特許7086371 | 電線共同溝の管路設計プログラム。 | 2024-09-03 |
3 | 特表2023-532989 | 食品、花、及び植物の改善された保管及び/又は輸送 | 2024-08-01 |
4 | 特許7304467 | 香味生成装置、電源ユニット、香味生成装置を制御する方法、及びプログラム | 2024-07-22 |
5 | 特許7122441 | 香味生成装置、電源ユニット、香味生成装置を制御する方法、及びプログラム | 2024-07-22 |
6 | 特表2021-534548 | 直流電流によりパイプライン内の流体を加熱するためのデバイスおよび方法 | 2024-07-11 |
7 | 特開2024-064000 | 酸化物蛍光体、発光装置及び酸化物蛍光体の製造方法 | 2024-06-20 |
8 | 特開2022-147839 | 学習モデル生成方法、情報処理装置、予測方法、情報処理プログラム、および、化粧品の製造方法 | 2024-06-03 |
9 | 特開2022-084328 | 電力需要予測システム及び電力需要予測方法 | 2024-05-23 |
10 | 特開2023-055738 | オールパスフィルタを用いるロスレスバンドスプリッティング及びバンドジョイニング | 2024-04-11 |
11 | 特表2023-515389 | 根菜類を収穫するかつ/または分離する機械を動作させるための方法、関連する機械、および関連するコンピュータプログラム製品 | 2024-04-10 |
12 | 特許7512218 | ポリマー単位を含むポリマーの解析 | 2024-03-28 |
13 | 特開2023-017169 | フィルム検査装置、フィルム検査方法及びプログラム | 2024-02-22 |
14 | 特開2022-092297 | 設計支援装置、設計支援方法及び設計支援プログラム | 2024-02-15 |
15 | 特許7248174 | 熱硬化性エポキシ樹脂組成物の探索方法、情報処理装置、及びプログラム | 2024-01-16 |
16 | 特開2022-013310 | 高分子原材料データ解析装置および高分子原材料データ解析方法 | 2024-01-16 |
17 | 特許7512090 | 地震動評価モデル生成方法、地震動評価モデル生成装置、地震動評価方法、及び、地震動評価装置 | 2024-01-04 |
18 | 特許7512091 | 地震動評価モデル生成方法、地震動評価モデル生成装置、地震動評価方法、及び、地震動評価装置 | 2024-01-04 |
19 | 特許6835713 | 会計支援システム | 2023-12-12 |
20 | 特許7564819 | コード行挙動および関係モデルの発生ならびに署名 | 2023-12-08 |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 181 patents/patent applications were inspection more than once in the examination process of other patent applications. The mean of the number of inspection is 1.2. The most inspection patent is 特許6325617 "心肺機能不全に対する易罹患性(susceptibility)を判断するシステム及びその装置を制御する方法" (5 times) , and the next most inspection patent is 特許6587556 "情報処理装置及び情報処理方法" (4 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6325617 | 心肺機能不全に対する易罹患性(susceptibility)を判断するシステム及びその装置を制御する方法 | 5 times |
2 | 特許6587556 | 情報処理装置及び情報処理方法 | 4 times |
3 | 特許6098982 | 情報処理装置及び情報処理方法 | 4 times |
4 | 特許7516025 | ごみクレーンの運転システムおよびこれを適用したごみ処理施設 | 3 times |
5 | 特開2016-035763 | 国政選挙といった情勢調査が公表される場合に事前標本調査から母集団を推定する方法 | 3 times |
Of the patent applications filed in the last 10 years (2014-11-01 to 2024-10-31), 3,293 patents/patent applications were cited more than once in the examination process of other patent applications. The mean of the number of cited is 2.8. The most cited patent is 特許6522488 "ワークの取り出し動作を学習する機械学習装置、ロボットシステムおよび機械学習方法" (71 times) , and the next most cited patent is 特許6726110 "光学素子、及び回折光学素子" (53 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6522488 | ワークの取り出し動作を学習する機械学習装置、ロボットシステムおよび機械学習方法 | 71 times |
2 | 特許6726110 | 光学素子、及び回折光学素子 | 53 times |
3 | 特許6148316 | 故障条件を学習する機械学習方法及び機械学習装置、並びに該機械学習装置を備えた故障予知装置及び故障予知システム | 45 times |
4 | 特許6921483 | 遊技機 | 42 times |
5 | 特許6140331 | 主軸または主軸を駆動するモータの故障予知を学習する機械学習装置および機械学習方法、並びに、機械学習装置を備えた故障予知装置および故障予知システム | 42 times |
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