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金蝶软件申请数据处理方法以及相关设备专利,提高单据的处理效率
Jin Rong Jie· 2025-08-04 06:01
Group 1 - The core point of the news is that Kingdee Software (China) Co., Ltd. has applied for a patent for a data processing method and related equipment, aimed at improving the efficiency of document processing [1] - The patent application was published under the number CN120409715A, with an application date of April 2025 [1] - The method described in the patent involves updating formulas based on request information, determining target input and output fields, and generating a target linear queue to represent the calculation order of these fields [1] Group 2 - Kingdee Software (China) Co., Ltd. was established in 1993 and is located in Shenzhen, primarily engaged in software and information technology services [2] - The company has a registered capital of 1.4 billion RMB [2] - Kingdee has invested in 65 companies, participated in 3,330 bidding projects, and holds 1,858 patents along with 801 trademark registrations [2]
初阶信用研究员数据处理工具箱
ZHESHANG SECURITIES· 2025-07-24 10:59
1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report - The report introduces commonly used Wind function modules and data in credit bond research, including primary and secondary market modules and relevant data processing methods [4]. 3. Summary by Directory 3.1 Wind Primary Market Module Introduction - **Querying Credit Bond Issuance and Maturity Details**: For non - financial credit bonds, select enterprise bonds, corporate bonds, medium - term notes, short - term financing bills, and private placement notes; for financial bonds, select financial bonds and deselect policy bank bonds. Conceptual sectors and enterprise nature can also be selected [11]. - **Querying Inter - bank Credit Bond Approval Progress**: Use the "Bond - Special Statistics - Primary Market - Issuance Registration - NAFMII Bond Registration Statistics - NAFMII Bond Registration Review Progress" path [12]. - **Querying Exchange Credit Bond Approval Progress**: Use the "Bond - Special Statistics - Primary Market - Issuance Registration - Corporate Bond Issuance Review Progress" and "Bond - Special Statistics - Primary Market - Issuance Registration - Enterprise Bond Issuance Review Progress" paths [13][14]. - **Statistical Credit Bond Raised Funds Usage**: Use the "Bond - Special Statistics - Credit Bond Raised Funds Allocation" path [15]. - **Finding Bonds Meeting Specific Conditions**: Use the "Bond - Multi - dimensional Data - Bond Screening" path and set conditional expressions [16]. 3.2 Wind Secondary Market Module Introduction - **Credit Bond Market Monitoring**: Use the "Bond - Bond Secondary Market - Transaction Statistics" path to display the most active bond information under the subject rating and remaining term [23][24]. - **Querying Credit Bond Inventory Details**: Use the "Bond - Market Overview - Inventory Statistics (by Bond Type)" path [25]. - **Distinguishing Broker Transactions and Platform Transactions**: Broker transactions involve brokers helping investors find trading counterparts, while platform transactions occur on CFETS or exchange platforms. Broker transaction data is suitable for constructing price indicators, and platform transaction data is suitable for constructing volume indicators [26][64]. - **Querying First - time Default Issuers**: Use the "Bond - Special Statistics - Credit Bond Research - Bond Default - Enterprise First - time Default Report" path and manually exclude issuers with previous default/extension situations [32][33]. - **Querying Default Bond Details**: Use the "Bond - Special Statistics - Credit Bond Research - Bond Default - Bond Default and Extension Summary" path and exclude duplicate bonds, exchangeable/convertible bonds, and cross - market bonds [34]. - **Exporting ChinaBond Index Market Performance**: Use the "Index - Index Analysis - Index Directory" path [36]. - **Constructing a Bond Portfolio**: Use the "Asset Management - Investment Research - Portfolio Management" path, including adjusting the starting cash amount and entering bond holdings and adjusting weights [37][38][39]. - **Tracking Bond Portfolio Performance**: Use the "Asset Management - Investment Research - Portfolio Management - Portfolio Report" path [40]. - **Conducting Attribution Analysis of Bond Portfolio Performance**: Use the "Asset Management - Investment Research - Portfolio Management - Performance Attribution" path [43]. 3.3 Credit Research Common Data Processing Methods - **Credit Bond Net Financing**: Export bond issuance and maturity details within a specific time range, divide bonds into industrial bonds and urban investment bonds based on the urban investment list, and calculate the net financing by subtracting the maturity amount from the issuance amount [49]. - **Credit Bond Primary Market Issuance Heat**: Refer to subscription multiples and the difference between coupon rate and bid - rate floor. Subscription multiples are calculated as the total bid (subscription) volume divided by the actual issuance amount, and bonds without relevant data should be excluded [50][54]. - **Credit Bond Issuance Approval Situation**: For urban investment bonds, refer to the completed registration scale and its proportion, and the number of feedbacks from the inter - bank market or exchange before listing [58]. - **Analyzing Credit Bond Valuation Distribution**: Export inventory credit bond details, match each urban investment bond to its corresponding province, divide the remaining exercise period into intervals, and use the SUMIFS function to calculate the weighted average valuation [59][60]. - **Observing Credit Bond Secondary Market Transactions**: Use both broker transaction data and platform transaction data. Broker transaction data is used for price indicators such as transaction deviation, transaction yield, and high - valuation transaction proportion; platform transaction data is used for volume indicators such as transaction term and turnover rate [64]. - **Volume Indicators**: Weighted transaction term is calculated based on platform data by excluding bonds with a remaining term of less than half a year and using transaction amount as the weight; transaction number is the sum of each bond's transaction numbers [65]. - **Price Indicators**: Transaction yield is calculated as the weighted average of transaction amounts; transaction deviation reflects the market's buying sentiment; high - valuation transaction proportion is the proportion of transactions with a yield 5bp higher than the valuation [71].
联想申请数据处理方法、装置及电子设备专利,可根据目标配置项输出用于呈现目标配置项的配置界面
Jin Rong Jie· 2025-07-21 11:03
Group 1 - Lenovo (Beijing) Co., Ltd. has applied for a patent titled "Data Processing Method, Device, and Electronic Equipment," with publication number CN120335915A, filed on March 2025 [1] - The patent describes a method for data processing that includes obtaining a request to present a UEFI system configuration interface and reading a first configuration file from a read-only storage medium [1] - The first configuration file is written to the read-only storage medium before the UEFI system leaves the factory, and the method involves generating at least one target configuration item based on the first and a second configuration file [1] Group 2 - Lenovo (Beijing) Co., Ltd. was established in 1992 and is located in Beijing, primarily engaged in the manufacturing of computers, communications, and other electronic devices [2] - The company has a registered capital of 565 million HKD and has invested in 107 enterprises, participated in 5,000 bidding projects, and holds 1,751 trademark records and 5,000 patent records [2] - Additionally, Lenovo (Beijing) Co., Ltd. possesses 238 administrative licenses [2]
山东国盾网申请公积金业务流程数据的电子签章处理方法及系统专利,得到目标公积金合同的篡改风险
Sou Hu Cai Jing· 2025-07-12 11:54
Group 1 - The State Intellectual Property Office of China has published a patent application by Shandong Guodun Network Information Technology Co., Ltd. for an electronic signature processing method and system related to housing fund business process data, with publication number CN120297920A and application date of June 2025 [1] - The patent involves a method for processing housing fund contracts in PDF format, extracting key data and compensation data, and assessing tampering risks through hash value calculations [1] - The company has been active in the software and information technology services sector since its establishment in 2016, with a registered capital of 50 million RMB [2] Group 2 - Shandong Guodun Network Information Technology Co., Ltd. has made one external investment, participated in 56 bidding projects, and holds 4 patents along with 9 trademark registrations [2] - The company has also obtained 15 administrative licenses, indicating a diverse operational capability within its industry [2]
腾讯申请一种数据处理方法等相关专利,可自适应地融合一种或多种执行模式完成查询计划
Jin Rong Jie· 2025-07-12 09:30
Group 1 - Tencent Technology (Shenzhen) Co., Ltd. has applied for a patent titled "A Data Processing Method, Device, Equipment, Storage Medium, and Product" with publication number CN120296039A, filed on January 2024 [1] - The patent application describes a data processing method that includes obtaining a query plan, splitting it into multiple operator chains, and performing compilation analysis to determine execution modes based on compilation benefit and memory indication information [1] - The method aims to adaptively integrate one or more execution modes to complete the query plan, enhancing efficiency in data processing [1] Group 2 - Tencent Technology (Shenzhen) Co., Ltd. was established in 2000 and is primarily engaged in software and information technology services, with a registered capital of 2 million USD [2] - The company has invested in 15 enterprises, participated in 260 bidding projects, and holds 5000 trademark and patent information records, along with 472 administrative licenses [2]
腾讯申请数据处理相关专利,提升资源数据的推荐准确性
Jin Rong Jie· 2025-07-05 01:59
Group 1 - Tencent Technology (Shenzhen) Co., Ltd. has applied for a patent titled "A Data Processing Method, Device, Equipment, and Readable Storage Medium," with publication number CN120256708A and application date of January 2024 [1] - The patent describes a method that includes obtaining sample data for model training based on historical resource data related to sample objects and their past business operations [1] - The method involves using a recommendation model to perform probabilistic predictions on the sample data, optimizing the model through monotonic transformations of the predicted probabilities for various business indicators [1] Group 2 - Tencent Technology (Shenzhen) Co., Ltd. was established in 2000 and is primarily engaged in software and information technology services, with a registered capital of 2 million USD [2] - The company has made investments in 15 enterprises, participated in 260 bidding projects, and holds 5000 trademark and patent records, along with 469 administrative licenses [2]
AI辅助医疗设备或迎“大规模使用的关键节点”
2 1 Shi Ji Jing Ji Bao Dao· 2025-06-11 08:41
Core Viewpoint - AI-assisted medical devices are at a critical juncture for large-scale hospital use, necessitating the establishment of a standardized system [1][3]. Group 1: Policy and Regulation - The document issued by the Central Committee and the State Council emphasizes the need for innovative support mechanisms for emerging industries, particularly in AI-assisted medical devices [1][3]. - The exploration of access and application mechanisms for AI-assisted medical devices is highlighted, focusing on data collection, integration, sharing, and compliance under safe and controllable conditions [1][4]. Group 2: Industry Trends - The healthcare sector is witnessing a deep transformation due to AI technologies, with numerous medical device companies collaborating with clinical institutions [3]. - Shenzhen is positioning itself as a pioneer city for AI innovation in healthcare, with nearly 450 real application scenarios being launched [3]. Group 3: Data Management - Data is identified as a key element in AI, becoming crucial for enhancing precision and iteration speed in AI applications [4][5]. - The need for rules and standards regarding data ownership, usage rights, and pricing transactions for AI medical devices is emphasized [5]. Group 4: Market Dynamics - The inclusion of AI-assisted diagnosis in the medical service pricing structure by the National Healthcare Security Administration indicates a shift in how hospitals can utilize AI in diagnostics [6]. - Despite the integration of AI into the pricing system, challenges remain regarding the establishment of unified pricing standards for AI medical devices [6].
联想申请数据处理方法、模型压缩方法及装置专利,公开一种数据处理方法、模型压缩方法及装置
Jin Rong Jie· 2025-05-31 00:32
Group 1 - Lenovo (Beijing) Co., Ltd. has applied for a patent titled "Data Processing Method, Model Compression Method and Device," with publication number CN120068971A, and the application date is February 2025 [1] - The patent abstract reveals a data processing method that includes obtaining input data for a target task, which can be image data, text data, voice data, or video data [1] - The method involves processing the target task based on two different parameter sets that represent the target model, where the first and second types of tasks meet similarity conditions [1] Group 2 - Lenovo (Beijing) Co., Ltd. was established in 1992 and is primarily engaged in the manufacturing of computers, communications, and other electronic devices [2] - The company has a registered capital of 565 million Hong Kong dollars and has invested in 102 enterprises [2] - Lenovo (Beijing) has participated in 5,000 bidding projects and holds 1,730 trademark records and 5,000 patent records, along with 237 administrative licenses [2]
第三届全国博士后创新创业大赛发布766个项目邀请“揭榜领题”
Xin Jing Bao· 2025-05-14 07:27
Core Viewpoint - The third National Postdoctoral Innovation and Entrepreneurship Competition has launched a "Challenge and Lead" project list, featuring 766 technology projects that seek participation from postdoctoral researchers and teams [1][2]. Group 1: Competition Overview - The competition is the largest and most comprehensive postdoctoral event in China, aimed at promoting the integration of industry, academia, and research [1]. - The "Challenge and Lead" segment invites enterprises to present technical challenges, which postdoctoral researchers are encouraged to solve [1]. Group 2: Project Details - A total of 766 project demands have been released, focusing on four key areas aligned with national strategies and cutting-edge scientific technologies, with a total planned investment exceeding 40 billion yuan [2]. - The projects cover seven major directions, including new generation information technology and artificial intelligence, high-end equipment manufacturing, and robotics [2]. - The top areas of demand include: - New generation information technology and artificial intelligence: 143 projects (18.7%) - Biomedicine and health: 140 projects (18.3%) - New materials and petrochemicals: 135 projects (17.6%) - High-end equipment manufacturing and robotics: 131 projects (17.1%) - New energy and energy conservation: 93 projects (12.1%) - Modern agriculture and food: 67 projects (8.7%) - Other industries: 57 projects (7.4%) [2]. Group 3: Participation and Timeline - The project list has been publicly released on various platforms, including the China Postdoctoral website and the official competition website [3]. - The registration deadline for participation is July 31, 2025, with successful teams invited to the finals in Quanzhou, Fujian Province, in mid to late October [3].
招商银行申请数据处理专利,显著提高高并发场景下商户支付额度数据处理效率
Sou Hu Cai Jing· 2025-03-26 04:19
Core Viewpoint - China Merchants Bank has applied for a patent related to data processing methods that significantly enhance the efficiency of processing merchant payment limits in high-concurrency scenarios [1]. Group 1: Patent Application Details - The patent titled "Data Processing Method, Device, Equipment, Storage Medium, and Product" was filed with the National Intellectual Property Administration, with publication number CN 119671733 A and an application date of November 2024 [1]. - The patent describes a method that utilizes a predefined flow detection algorithm to identify payment flow scenarios in target systems [1]. - In high-concurrency scenarios, the method employs an asynchronous processing strategy and a pre-generated asynchronous queue to accumulate payment transaction limit information, resulting in improved efficiency compared to traditional polling methods [1]. Group 2: Company Overview - China Merchants Bank, established in 1987 and located in Shenzhen, primarily engages in monetary financial services [2]. - The company has a registered capital of approximately 25.22 billion RMB and a paid-in capital of about 296.29 million RMB [2]. - China Merchants Bank has invested in 15 enterprises, participated in 5,000 bidding projects, and holds 1,327 trademark records and 1,712 patent records, along with 325 administrative licenses [2].