The Technical Field "計算機プログラム" had 2,968 patent application filings in the most recent period (2022-01-01 to 2022-08-31). This is a significantly decreased of -1,645 filings (-35.7%) over 4,613 they had in the same period of the previous year (2021-01-01 to 2021-08-31). This report also includes technical terms related to " コンピュータプログラム ", " コンピュータ・プログラム ", " コンピュータープログラム ", " コンピューター・プログラム ", " 計算プログラム ", " 電子計算機プログラム ", " 電算プログラム ", " 電算機プログラム " in the search set.
The highest number of filings in 2020 with 7,193 cases, and their lowest number in 2022 with 3,729 cases.
The mean of the number of filings over the last 5 years (2018 to 2023, 31,121 cases in total) is 5,187, and the median is 6,240. The coefficient of variation (standard deviation/mean) is 0.5, and there have been big fluctuations in the number of filings from year to year.
Index | Value |
---|---|
Average | 5,187 patents |
Std Dev | 2,366 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 3,729 cases | -47.6 % |
2021 year | 7,113 cases | -1.11 % |
2020 year | 7,193 cases | +6.47 % |
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 計算機プログラム for the period of the last 10 years (2014-01-01 to 2024-04-30). 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 計算機プログラム, 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 計算機プログラム 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 51,500 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 "計算機プログラム".
The number of patents and changes in the number of patents of other companies (competitors) in the same industry as 計算機プログラム 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, 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 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 264 cases, followed by キヤノン株式会社 with 160 cases.
Name | 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 | 264 cases |
キヤノン株式会社 | 160 cases |
ブラザー工業株式会社 | 118 cases |
華為技術有限公司 | 85 cases |
コーニンクレッカフィリップスエヌヴェ | 53 cases |
富士通株式会社 | 48 cases |
テレフオンアクチーボラゲットエルエムエリクソン(パブル) | 39 cases |
日本電気株式会社 | 29 cases |
セイコーエプソン株式会社 | 24 cases |
ソニーグループ株式会社 | 13 cases |
Comparing the number of applications of each company, コーニンクレッカフィリップスエヌヴェ has the highest number of joint applications in the last for the target period (2014 to 2024) with 1,940 cases, followed by 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 with 1,870 cases.
Name | Cases |
---|---|
コーニンクレッカフィリップスエヌヴェ | 1,940 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 | 1,870 cases |
キヤノン株式会社 | 1,847 cases |
華為技術有限公司 | 1,633 cases |
クゥアルコム・インコーポレイテッド | 1,616 cases |
テレフオンアクチーボラゲットエルエムエリクソン(パブル) | 1,167 cases |
ブラザー工業株式会社 | 1,124 cases |
日本電気株式会社 | 570 cases |
富士通株式会社 | 385 cases |
ソニーグループ株式会社 | 359 cases |
セイコーエプソン株式会社 | 261 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 計算機プログラム 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, 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 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 264 cases, followed by キヤノン株式会社 with 160 cases.
Name | 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 | 264 cases |
キヤノン株式会社 | 160 cases |
ブラザー工業株式会社 | 118 cases |
コーニンクレッカフィリップスエヌヴェ | 53 cases |
セイコーエプソン株式会社 | 24 cases |
ソニーグループ株式会社 | 13 cases |
Among the top coapplicants, コーニンクレッカフィリップスエヌヴェ has the highest number of joint applications in the last for the target period (2014 to 2024) with 1,940 cases, followed by 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 with 1,870 cases.
Name | Cases |
---|---|
コーニンクレッカフィリップスエヌヴェ | 1,940 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 | 1,870 cases |
キヤノン株式会社 | 1,847 cases |
クゥアルコム・インコーポレイテッド | 1,616 cases |
ブラザー工業株式会社 | 1,124 cases |
ソニーグループ株式会社 | 359 cases |
セイコーエプソン株式会社 | 261 cases |
Below is a ranking of the number of JP patent applications by 計算機プログラム’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 計算機プログラム’s top 7 coapplicants over the last 20 years.
計算機プログラム filed 1,847 joint applications with キヤノン株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 884 cases in total) is 147, and the median is 143. The coefficient of variation (standard deviation/mean) is 0.5, 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 2014 with 320 cases, and their lowest number in 2021 with 136 cases.
Index | Value |
---|---|
Average | 147 patents |
Std Dev | 71.6 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 148 cases | +8.82 % |
2021 year | 136 cases | -1.45 % |
2020 year | 138 cases | -41.0 % |
計算機プログラム filed 1,616 joint applications with クゥアルコム・インコーポレイテッド for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 65 cases in total) is 10.8, and the median is 1.5. The coefficient of variation (standard deviation/mean) is 1.7, and there have been very big fluctuations in the number of filings from year to year.
The highest number of filings in 2014 with 740 cases, and their lowest number in 2022 with 0 cases.
Index | Value |
---|---|
Average | 10.8 patents |
Std Dev | 18.7 |
COV | 1.7 |
Year | Cases | YOY |
---|---|---|
2021 year | 2 cases | +100 % |
2020 year | 1 cases | -90.0 % |
2019 year | 10 cases | -80.8 % |
計算機プログラム filed 1,940 joint applications with コーニンクレッカフィリップスエヌヴェ for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 894 cases in total) is 149, and the median is 203. The coefficient of variation (standard deviation/mean) is 0.6, and there have been big fluctuations in the number of filings from year to year.
The highest number of filings in 2014 with 279 cases, and their lowest number in 2022 with 53 cases.
Index | Value |
---|---|
Average | 149 patents |
Std Dev | 88.2 |
COV | 0.6 |
Year | Cases | YOY |
---|---|---|
2022 year | 53 cases | -73.4 % |
2021 year | 199 cases | -3.86 % |
2020 year | 207 cases | -6.33 % |
計算機プログラム filed 1,870 joint applications with 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 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 1,501 cases in total) is 250, and the median is 231. 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 number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2021 with 546 cases, and their lowest number in 2016 with 82 cases.
Index | Value |
---|---|
Average | 250 patents |
Std Dev | 161 |
COV | 0.6 |
Year | Cases | YOY |
---|---|---|
2022 year | 237 cases | -56.6 % |
2021 year | 546 cases | +69.0 % |
2020 year | 323 cases | +126 % |
計算機プログラム filed 359 joint applications with ソニーグループ株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 136 cases in total) is 22.7, and the median is 25.0. The coefficient of variation (standard deviation/mean) is 0.6, 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 2014 with 68 cases, and their lowest number in 2022 with 12 cases.
Index | Value |
---|---|
Average | 22.7 patents |
Std Dev | 13.5 |
COV | 0.6 |
Year | Cases | YOY |
---|---|---|
2022 year | 12 cases | -58.6 % |
2021 year | 29 cases | +7.41 % |
2020 year | 27 cases | +17.39 % |
The following shows JP patents held by 計算機プログラム that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and 計算機プログラム’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 計算機プログラム 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 (2021-05-01 ~ 2024-04-30), there were 1 patents Invalidation Trial from third parties. The average number of Invalidation Trial is 3.0 times. The most recently Invalidation Trial patent is 特許6159845 "車両誘導システム" (Invalidation Trial day 2022-10-21) .
- | No. | Title | Invalidation Trial days |
---|---|---|---|
1 | 特許6159845 | 車両誘導システム | 2022-10-21 |
Of the patent applications filed in the last 10 years (2014-05-01 to 2024-04-30), 1 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 3.0. The most invalidation trial patent is 特許6159845 "車両誘導システム" (3 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6159845 | 車両誘導システム | 3 times |
In the last 3 years (2021-05-01 ~ 2024-04-30), 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7301968 "中間金属製品のグループからの最終金属製品のグループの製造を制御するための方法および電子デバイス、関連するコンピュータプログラム、製造方法および設備" (Opposition day 2023-12-28) , next is 特許7287416 "厚鋼板の製造仕様決定支援装置および製造仕様探索方法、コンピュータプログラム、コンピュータ読み取り可能な記録媒体ならびに厚鋼板の製造方法" (Opposition day 2023-12-06) .
- | No. | Title | Opposition days |
---|---|---|---|
1 | 特許7301968 | 中間金属製品のグループからの最終金属製品のグループの製造を制御するための方法および電子デバイス、関連するコンピュータプログラム、製造方法および設備 | 2023-12-28 |
2 | 特許7287416 | 厚鋼板の製造仕様決定支援装置および製造仕様探索方法、コンピュータプログラム、コンピュータ読み取り可能な記録媒体ならびに厚鋼板の製造方法 | 2023-12-06 |
3 | 特許7217589 | 画像解析方法、画像解析装置、プログラム、学習済み深層学習アルゴリズムの製造方法および学習済み深層学習アルゴリズム | 2023-08-03 |
4 | 特許7173394 | 光学フィルム、着色層形成用組成物、ジピロメテンコバルト錯体及び表示装置 | 2023-05-12 |
5 | 特許7166300 | 雑草防除装置 | 2023-04-27 |
6 | 特許7094048 | デジタルドアロック、コンピュータプログラム、及び非接触方式で該デジタルドアロックを制御する方法 | 2022-12-21 |
7 | 特許7071475 | エレベーター制御方法、エレベーター制御システム、ロボット制御方法およびコンピュータプログラム | 2022-11-01 |
8 | 特許7031957 | 感染症検査方法 | 2022-09-07 |
9 | 特許6998474 | 生体組織のコンピュータ分類 | 2022-07-11 |
10 | 特許6976528 | 情報管理装置及びコンピュータプログラム | 2022-06-08 |
In the last 3 years (2021-05-01 ~ 2024-04-30), there were 25 patents Protest from third parties. The average number of Protest is 1.5 times. The most recently Protest patent is 特表2023-514849 "品質及び効率を向上するための流体分配システムの均衡及び分配の監視" (Protest day 2024-02-22) , next is 特表2022-544738 "揮発性有機化合物低減装置" (Protest day 2023-11-20) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 特表2023-514849 | 品質及び効率を向上するための流体分配システムの均衡及び分配の監視 | 2024-02-22 |
2 | 特表2022-544738 | 揮発性有機化合物低減装置 | 2023-11-20 |
3 | 特開2023-007457 | 葉緑素量学習推定システム、葉緑素量推定用モデル生成システム、葉緑素量推定システム、葉緑素量推定方法、およびコンピュータプログラム | 2023-11-08 |
4 | 特開2022-111131 | 飛行制御方法、情報処理装置及びコンピュータプログラム | 2023-11-02 |
5 | 特表2022-538132 | 健康評価のためのシステム及び方法 | 2023-10-03 |
6 | 特開2022-086980 | ドライブレコーダーシステム | 2023-09-21 |
7 | 特開2021-162323 | 疾患鑑別支援方法、疾患鑑別支援装置、及び疾患鑑別支援コンピュータプログラム | 2023-09-01 |
8 | 特開2020-119301 | 携帯通信端末、コンピュータプログラム、および駐車場管理システム | 2023-09-01 |
9 | 特開2021-069913 | 体表面形状測定装置、寝具、寝具の製造方法、コンピュータプログラム、枕、及び枕の製造方法 | 2023-06-06 |
10 | 特表2022-543542 | 収穫された製品内における作物保護製品残留量の予測 | 2023-06-05 |
11 | 特許7440877 | 卵分類装置、卵分類方法及びコンピュータプログラム | 2023-03-01 |
12 | 特許7392775 | 分析システム、方法、及び、プログラム | 2022-11-24 |
13 | 特許7234012 | 塩素注入制御装置、塩素注入制御システム、塩素注入制御方法及びコンピュータプログラム | 2022-10-17 |
14 | 特開2022-098199 | 指示箋システム | 2022-10-14 |
15 | 特開2021-068085 | 制御装置、コンピュータプログラム、および認証システム | 2022-10-14 |
16 | 特開2021-068084 | 制御装置、コンピュータプログラム、および認証システム | 2022-10-07 |
17 | 特許7217589 | 画像解析方法、画像解析装置、プログラム、学習済み深層学習アルゴリズムの製造方法および学習済み深層学習アルゴリズム | 2022-09-29 |
18 | 特許7320368 | 故障予測装置、故障予測方法およびコンピュータプログラム | 2022-09-26 |
19 | 特開2022-018322 | 穀粒検査システム、穀粒検査装置、穀粒検査方法及びコンピュータプログラム | 2022-08-29 |
20 | 特開2020-193622 | 二元燃料船舶用燃焼エンジン、燃焼において過早点火を制御するための方法、低圧式二元燃料燃焼エンジンのための後付けキット、燃焼室への不活性ガスの導入を制御するためのコンピュータ・プログラム製品 | 2022-05-17 |
Of the patent applications filed in the last 10 years (2014-05-01 to 2024-04-30), 53 patents/patent applications were protest more than once in the examination process of other patent applications. The mean of the number of protest is 1.4. The most protest patent is 特表2019-528113 "機械学習モデルを使用した眼底画像の処理" (5 times) , and the next most protest patent is 特許6651455 "造粒機の運転条件の評価装置、評価方法、およびプログラム" (4 times) .
- | No. | Title | |
---|---|---|---|
1 | 特表2019-528113 | 機械学習モデルを使用した眼底画像の処理 | 5 times |
2 | 特許6651455 | 造粒機の運転条件の評価装置、評価方法、およびプログラム | 4 times |
3 | 特許6871673 | 血液検体を判定するための方法、装置及びコンピュータプログラム、並びに血液検体分析装置 | 4 times |
4 | 特開2022-086980 | ドライブレコーダーシステム | 3 times |
5 | 特表2017-502732 | 少なくとも1つの顔の臨床徴候を評価するためのプロセス | 3 times |
In the last 3 years (2021-05-01 ~ 2024-04-30), there were 194 patents Inspection from third parties. The average number of Inspection is 1.1 times. The most recently Inspection patent is 特許5404811 "1つ以上の制御可能な装置を制御する制御システム及びこのような制御を可能にする方法" (Inspection day 2024-03-08) , next is 特許5593381 "照明制御デバイス" (Inspection day 2024-03-08) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特許5404811 | 1つ以上の制御可能な装置を制御する制御システム及びこのような制御を可能にする方法 | 2024-03-08 |
2 | 特許5593381 | 照明制御デバイス | 2024-03-08 |
3 | 特表2024-503815 | 非アクティブモードのデバイスのビーム管理 | 2024-02-14 |
4 | 特開2021-189674 | コンピュータプログラム、サーバ装置、端末装置、及び方法 | 2024-02-07 |
5 | 特許6792125 | エッジシステム、エッジシステムの制御方法、エッジシステムの制御に用いるコンピュータプログラム、及び、その記録媒体 | 2024-02-06 |
6 | 特開2022-138645 | サービス提供システムおよび広告方法 | 2023-12-29 |
7 | 特開2022-066944 | 情報処理装置、コンピュータプログラムおよび情報処理システム | 2023-12-29 |
8 | 特開2022-095357 | サービス提供システムおよびサービス提供方法 | 2023-12-29 |
9 | 特開2023-097056 | イベント管理サーバシステムおよびコンテンツ画像制御方法 | 2023-12-29 |
10 | 特許7408068 | コンピュータプログラム、サーバ装置及び方法 | 2023-12-04 |
11 | 特表2022-544738 | 揮発性有機化合物低減装置 | 2023-11-30 |
12 | 特開2022-111131 | 飛行制御方法、情報処理装置及びコンピュータプログラム | 2023-11-28 |
13 | 特開2023-115791 | ゲーム情報処理方法、ゲーム情報処理装置、及びコンピュータプログラム | 2023-11-24 |
14 | 特許7460619 | マルチビーム電力制御方法およびシステム | 2023-11-24 |
15 | 特表2023-526832 | 2.5軸除去製造プロセスを容易にする工具サイズ制御を用いるコンピュータ支援ジェネレーティブ設計 | 2023-11-16 |
16 | 特許7417815 | 製造及び構造的パフォーマンスを促進する全体的な厚さの制御によるコンピュータ支援のジェネレーティブデザイン | 2023-11-16 |
17 | 特許7462595 | 人材育成支援システム、連携支援システム、方法及びコンピュータプログラム | 2023-11-14 |
18 | 特開2023-007457 | 葉緑素量学習推定システム、葉緑素量推定用モデル生成システム、葉緑素量推定システム、葉緑素量推定方法、およびコンピュータプログラム | 2023-11-14 |
19 | 特開2021-061062 | ヒト標本研究のための情報に基づく同意データの体系化、追跡、および使用のための方法およびシステム | 2023-10-24 |
20 | 特許7443427 | エモーティコンの推薦方法及びエモーティコンの推薦を提供するユーザー端末 | 2023-10-20 |
Of the patent applications filed in the last 10 years (2014-05-01 to 2024-04-30), 487 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6261134 "給与計算方法及び給与計算プログラム" (5 times) , and the next most inspection patent is 特表2019-528113 "機械学習モデルを使用した眼底画像の処理" (5 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6261134 | 給与計算方法及び給与計算プログラム | 5 times |
2 | 特表2019-528113 | 機械学習モデルを使用した眼底画像の処理 | 5 times |
3 | 特許7440877 | 卵分類装置、卵分類方法及びコンピュータプログラム | 4 times |
4 | 特許6259975 | 負荷遮断時のアクティブな整流器のための過電圧保護手段 | 4 times |
5 | 特開2017-113016 | 加熱式エアロゾル発生装置、及び一貫した特性のエアロゾルを発生させる方法 | 4 times |
Of the patent applications filed in the last 10 years (2014-05-01 to 2024-04-30), 9,446 patents/patent applications were cited more than once in the examination process of other patent applications. The mean of the number of cited is 2.6. The most cited patent is 特許5956511 "自動アシスタントによるユーザ要求と結果の言い換え" (174 times) , and the next most cited patent is 特許6504808 "撮像装置、音声コマンド機能の設定方法、コンピュータプログラム、及び記憶媒体" (165 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許5956511 | 自動アシスタントによるユーザ要求と結果の言い換え | 174 times |
2 | 特許6504808 | 撮像装置、音声コマンド機能の設定方法、コンピュータプログラム、及び記憶媒体 | 165 times |
3 | 特許6427549 | 複数のデバイス上でのホットワード検出 | 106 times |
4 | 特開2016-095383 | 音声認識クライアント装置及びサーバ型音声認識装置 | 95 times |
5 | 特許6778739 | インテリジェントなデバイス識別 | 94 times |
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