CN114064738B - Electronic component substitute material searching method and device and application - Google Patents
Electronic component substitute material searching method and device and application Download PDFInfo
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- CN114064738B CN114064738B CN202210039879.5A CN202210039879A CN114064738B CN 114064738 B CN114064738 B CN 114064738B CN 202210039879 A CN202210039879 A CN 202210039879A CN 114064738 B CN114064738 B CN 114064738B
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F18/00—Pattern recognition
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- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
Abstract
The application provides a method, a device and an application for searching electronic component replacement materials, wherein different electronic components are classified into different categories based on sku parameters of the electronic components, and the sku parameters of the electronic components in each category are described in the same way; acquiring an original sku parameter and at least one parameter item to be compared of an original electronic component; comparing each parameter item to be compared of the sku parameter to be selected of the same kind of the original electronic component with the parameter item to be compared of the original sku parameter one by one to obtain a parameter comparison result corresponding to the sku parameter to be selected; if the parameter comparison result meets the selection rule, selecting the electronic component corresponding to at least one sku parameter to be selected corresponding to the parameter comparison result as an alternative electronic component; and calculating the similarity between each alternative electronic component and the original electronic component, selecting the alternative electronic component with high similarity as the electronic component substitute material, and selecting the electronic component substitute material which is most matched with the original electronic component through an innovative algorithm.
Description
Technical Field
The application relates to the field of electronic components, in particular to a method and a device for searching electronic component replacement materials and application.
Background
Electronic products all use a large amount of electronic components in the research and development process, and the performance of the electronic components directly influences the performance of the electronic products. In the research and development process, based on the conditions of material quality, technical requirements, cost control and inventory control, in order to ensure the requirements of supply chain safety, cost consideration, change of research and development design schemes, product updating iteration and the like, when electronic components of the original model need to be replaced, replaceable component needs to be searched.
At present, most of the modes for searching for the substitute components are modes for manually searching for substitute components of the same brand or different brands after knowing model parameters of original electronic components, however, the types of electronic components are various, and the manual searching for suitable substitute components requires a certain component professional ability, that is, the professional ability of manual selection is required; in addition, the substitute components are applied to each link of the research, production, supply and marketing, which may cause a lot of sku (model, brand, and package) differences, and need to be managed by additional configuration management personnel.
Disclosure of Invention
The embodiment of the application provides a method, a device and an application for searching substituted materials of electronic components, wherein similar skus can be quickly located and searched through skus of original electronic components, and further substituted material electronic components capable of replacing the original electronic components can be quickly searched.
In a first aspect, an embodiment of the present application provides a method for searching for a substitute material of an electronic component, where the method includes: classifying different electronic components into different categories based on the sku parameters of the electronic components, wherein the sku parameters of the electronic components under each category are described in the same way;
acquiring an original sku parameter and at least one parameter item to be compared of an original electronic component;
comparing each parameter item to be compared of the sku parameter to be selected of the same kind of the original electronic component with the parameter item to be compared of the original sku parameter one by one to obtain a parameter comparison result corresponding to the sku parameter to be selected;
if the parameter comparison result meets the selection rule, selecting the electronic component corresponding to at least one sku parameter to be selected corresponding to the parameter comparison result as an alternative electronic component;
and calculating the similarity between each alternative electronic component and the original electronic component, and selecting the alternative electronic component with high similarity as the electronic component substitute.
In a second aspect, an embodiment of the present application provides an electronic component substitute material searching device, including: the classification module is used for classifying different electronic components into different categories based on the sku parameters of the electronic components, wherein the sku parameters of the electronic components under each category are described in the same way; the parameter acquisition module is used for acquiring an original sku parameter of an original electronic component and at least one parameter item to be compared; the parameter comparison module is used for comparing each parameter item to be compared of the sku parameter to be selected of the same kind of purpose as the original electronic component with the parameter item to be compared of the original sku parameter one by one to obtain a parameter comparison result corresponding to the sku parameter to be selected; the alternative component obtaining module is used for selecting the electronic component corresponding to at least one sku parameter corresponding to the parameter comparison result as an alternative electronic component if the parameter comparison result meets the selection rule; and the substitute material acquisition module is used for calculating the similarity between each alternative electronic component and the original electronic component and selecting the alternative electronic component with high similarity as the substitute material of the electronic component.
In a third aspect, an embodiment of the present application provides an electronic device, which includes a memory and a processor, and is characterized in that the memory stores a computer program, and the processor is configured to execute the computer program to execute an electronic component replacement material searching method.
In a fourth aspect, an embodiment of the present application provides a readable storage medium, where a computer program is stored in the readable storage medium, where the computer program includes program code for controlling a process to execute the process, and the process includes the method for finding a substitute for an electronic component.
The main contributions and innovation points of the invention are as follows: the sku parameters of the electronic components are disassembled and classified, the sku parameters of the original electronic components are compared with sku parameters to be selected under the same classification to obtain comparison results, the alternative electronic components capable of replacing the original electronic components are selected based on the selection rules and the comparison results, and the most accurate electronic component replacement materials are found out from the alternative electronic components based on multi-dimensional similarity comparison.
The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:
fig. 1 is a flowchart of an electronic component replacement material searching method according to an embodiment of the present application;
FIG. 2 is a diagram illustrating different categories of items of parameters to be compared according to an embodiment of the present application.
Fig. 3 is a block diagram of a structure of an electronic component replacement material searching device according to an embodiment of the present application;
fig. 4 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with one or more embodiments of the present specification. Rather, they are merely examples of apparatus and methods consistent with certain aspects of one or more embodiments of the specification, as detailed in the claims which follow.
It should be noted that: in other embodiments, the steps of the corresponding methods are not necessarily performed in the order shown and described herein. In some other embodiments, the method may include more or fewer steps than those described herein. Moreover, a single step described in this specification may be broken down into multiple steps for description in other embodiments; multiple steps described in this specification may be combined into a single step in other embodiments.
Example one
The scheme is that after sku of the electronic components is disassembled and classified, the electronic component substitute which is most matched with the original electronic components is selected through an innovative algorithm, and the electronic component substitute can be quickly and accurately obtained without depending on artificial professional judgment.
The embodiment of the application provides a method for searching electronic component replacement materials, and particularly, with reference to fig. 1, the method includes:
classifying different electronic components into different categories based on the sku parameters of the electronic components, wherein the sku parameters of the electronic components under each category are described in the same way;
acquiring an original sku parameter and at least one parameter item to be compared of an original electronic component;
comparing each parameter item to be compared of the sku parameter to be selected of the same kind of the original electronic component with the parameter item to be compared of the original sku parameter one by one to obtain a parameter comparison result corresponding to the sku parameter to be selected;
if the parameter comparison result meets the selection rule, selecting the electronic component corresponding to at least one sku parameter to be selected corresponding to the parameter comparison result as an alternative electronic component;
and calculating the similarity between each alternative electronic component and the original electronic component, and selecting the alternative electronic component with high similarity as the electronic component substitute.
That is to say, the scheme firstly classifies the electronic components based on the sku parameters of the electronic components, firstly preliminarily screens the alternative electronic components based on the parameter items to be compared in the same class of electronic components, and then selects the electronic component substitute materials from the alternative electronic components based on the similarity.
In the scheme, the electronic components are classified firstly, and the scheme classifies the electronic components into 21 primary categories and 214 secondary categories corresponding to the primary categories, exemplarily: the first class includes tube 1, passive component 2, connector/switch 3, etc., and the second class corresponding to tube 1 includes: diode D/transistor Q/infrared tube E, etc. But the specific classification standard can be modified adaptively according to the characteristics of the electronic components.
In "in which the sku parameters of the electronic components under each category are described in the same manner", the sku parameter description of the electronic components under each category maintains consistency. That is, the expression modes of the sku parameters of the electronic components are kept consistent, so that the subsequent relation comparison can be conveniently carried out.
The sku parameter of each electronic component is composed of a plurality of parameter items, in one embodiment, the scheme only needs to compare the parameter items of the sku parameter, and therefore the optional electronic components can be selected in a targeted mode. It should be noted that, since the contents of different parameter items to be compared are different, the contents of comparison are also different when performing the relationship comparison. In the scheme, numerical value magnitude relation comparison or character relation comparison is carried out based on the content of the parameter items to be compared.
For example, as shown in fig. 2, when the parameter item to be compared is "type", since the value category corresponding to "type" is string, the parameter item to be compared is subjected to text relation comparison at this time; when the parameter item to be compared is "pixel size", the value category corresponding to the "pixel size" is double, so the value size relationship comparison is performed on the parameter item to be compared at this time.
Correspondingly, in the step of carrying out one-to-one relation comparison on each parameter item to be compared of the sku parameter to be selected of the same kind of the original electronic component and the parameter item to be compared of the original sku parameter, according to the content of the parameter item to be compared, the parameter item to be compared of the original sku parameter and the parameter item to be compared of the sku parameter to be selected are subjected to character relation comparison or numerical value size relation comparison. Of course, in the present embodiment, the parameter items to be compared of the same category are compared.
Comparing each parameter item to be compared of the sku parameter to be selected of the same kind of target of the original electronic component with the parameter item to be compared corresponding to the original sku parameter in a one-to-one relation manner to obtain a parameter comparison value corresponding to each parameter item to be compared, wherein the parameter comparison values of different parameters to be compared corresponding to the same sku parameter form a parameter comparison result, and each sku parameter corresponds to an electronic component.
That is, in the step of "obtaining the parameter comparison results corresponding to other electronic components", each parameter item to be compared of the sku parameter to be selected is compared with the parameter item to be compared of the original sku parameter one by one, so as to obtain the parameter comparison value corresponding to each parameter item to be compared, and all the parameter comparison values of the same sku parameter to be selected constitute the parameter comparison result.
It is worth mentioning that in some embodiments, not only does the relational comparison need to be performed based on the parameter items to be compared, but also the necessary equality items of the sku parameter need to be learned.
At this moment, in the step of 'obtaining the original sku parameter of the original electronic component and at least one parameter item to be compared', the scheme comprises the following steps: and acquiring an original sku parameter, at least one parameter item to be compared and at least one required equality item of the original electronic component. Correspondingly, in the step of comparing each parameter item to be compared of the sku parameter to be selected of the same kind of the original electronic component with the parameter item to be compared of the original sku parameter in a one-to-one relation, the required equal items of the sku parameter to be selected are the same as the required equal items of the original sku parameter.
If the scheme does not need to process the necessary equal items, the comparison parameter items are equal to the comparison parameter items; however, if the required equal items need to be processed in the scheme, the required comparison parameters are a collection of the required comparison parameter items and the required equal items.
In the "if the parameter ratio result satisfies the selection rule" step, the selection rule may be set manually. In the embodiment of the scheme, if the number of the parameter items to be compared, which meet the comparison requirement, is greater than the set threshold, the parameter comparison result is considered to meet the selection rule.
Illustratively, if the selection rule is set as: the number of the parameter items to be compared is 6, and the comparison requirement is as follows: the parameter comparison value is more than 80%, and the threshold value is set to be 50%; and selecting the electronic component corresponding to the sku parameter corresponding to the parameter comparison result as an alternative electronic component when the parameter comparison result meets the condition that the number of the parameter items to be compared is more than 3 and the parameter comparison value is more than 80%.
After the alternative electronic components are obtained, the electronic component with the highest similarity is selected from the alternative electronic components to replace the materials. In the step of calculating the similarity between the alternative electronic components and the original electronic components, the similarity between each alternative electronic component and the original electronic component is calculated by using a cosine similarity method, wherein a calculation formula of the cosine similarity method is as follows:
wherein i represents the parameter item to be compared, xiValue of a parameter, y, representing an alternative electronic componentiAnd representing the parameter value of the original electronic component.
The closer the cosine values of the candidate electronic component and the original electronic component are to 1, the closer the cosine values are to 1.
In addition, because the parameter item value difference of each sku parameter is large, in order to prevent different parameter values from influencing cosine values, the scheme introduces a five-angle value-dividing graph, searches common divisor for the value items of the parameter items to be compared, similarly to the short division of two numbers in mathematics, selects the larger number to perform division circulation (sequentially increasing from 1, 2 and.. until the comparison dimension value (new parameter value, value after performing division circulation) is satisfied to be in a range of [0,5 ]. Specifically, a common divisor is taken between two parameter items to be compared until the value of the parameter item to be compared is [0,5 ].
At this time, the calculation formula of the cosine similarity method is as follows:
in other embodiments, the proportion weights of the parameter items to be compared are different, at this time, weights can be introduced into the alternative electronic component and the original electronic component for calculation, the weight coefficient is [0,1], a corresponding weight coefficient is set corresponding to each parameter item to be compared, at this time, the calculation formula of the cosine similarity method is as follows:
in the step of selecting the candidate electronic component with the high similarity as the electronic component substitute material, one candidate electronic component with the highest similarity can be selected as the electronic component substitute material, and certainly, a plurality of candidate electronic components with the highest similarity in the sequence from large to small can also be selected as the electronic component substitute material.
Example two
Based on the same concept, referring to fig. 3, the present application further provides an electronic component replacement material searching device, including:
a classification module 301, configured to classify different electronic components into different categories based on the sku parameters of the electronic components, where the sku parameters of the electronic components in each category are described in the same manner;
a parameter obtaining module 302, configured to obtain an original sku parameter of an original electronic component and at least one parameter item to be compared;
the parameter comparison module 303 is configured to perform one-to-one relationship comparison between each parameter item to be compared of the sku parameter to be selected of the same kind of purpose as the original electronic component and the parameter item to be compared of the original sku parameter, so as to obtain a parameter comparison result corresponding to the sku parameter to be selected;
the alternative component obtaining module 304 is configured to select an electronic component corresponding to at least one sku parameter corresponding to the parameter comparison result as an alternative electronic component if the parameter comparison result meets the selection rule;
and a material replacement obtaining module 305, configured to calculate a similarity between each alternative electronic component and the original electronic component, and select an alternative electronic component with a high similarity as an electronic component material replacement.
The technical content of this embodiment is the same as that of the first embodiment, and will not be redundantly described here.
EXAMPLE III
The present embodiment further provides an electronic apparatus, referring to fig. 4, including a memory 404 and a processor 402, where the memory 404 stores a computer program, and the processor 402 is configured to execute the computer program to perform the steps in any one of the above embodiments of the method for finding a substitute for an electronic component.
Specifically, the processor 402 may include a Central Processing Unit (CPU), or A Specific Integrated Circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.
The processor 402 reads and executes the computer program instructions stored in the memory 404 to implement any one of the electronic component replacement material searching methods in the above embodiments.
Optionally, the electronic apparatus may further include a transmission device 406 and an input/output device 408, where the transmission device 406 is connected to the processor 402, and the input/output device 408 is connected to the processor 402.
The transmitting device 406 may be used to receive or transmit data via a network. Specific examples of the network described above may include wired or wireless networks provided by communication providers of the electronic devices. In one example, the transmission device includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the transmitting device 406 may be a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
Optionally, in this embodiment, the processor 402 may be configured to execute the following steps by a computer program:
s101, classifying different electronic components into different categories based on sku parameters of the electronic components, wherein the sku parameters of the electronic components in each category are described in the same way;
s102, acquiring an original sku parameter and at least one parameter item to be compared of an original electronic component;
s103, comparing each parameter item to be compared of the sku parameter to be selected of the same kind of the original electronic component with the parameter item to be compared of the original sku parameter in a one-to-one relation manner to obtain a parameter comparison result corresponding to the sku parameter to be selected;
s104, if the parameter comparison result meets the selection rule, selecting an electronic component corresponding to at least one sku parameter corresponding to the parameter comparison result as an alternative electronic component;
and S105, calculating the similarity between each alternative electronic component and the original electronic component, and selecting the alternative electronic component with high similarity as the electronic component substitute.
It should be noted that, for specific examples in this embodiment, reference may be made to examples described in the foregoing embodiments and optional implementations, and details of this embodiment are not described herein again.
In general, the various embodiments may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. Some aspects of the invention may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device, although the invention is not limited thereto. While various aspects of the invention may be illustrated and described as block diagrams, flow charts, or using some other pictorial representation, it is well understood that these blocks, apparatus, systems, techniques or methods described herein may be implemented in, as non-limiting examples, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof.
Embodiments of the invention may be implemented by computer software executable by a data processor of the mobile device, such as in a processor entity, or by hardware, or by a combination of software and hardware. Computer software or programs (also referred to as program products) including software routines, applets and/or macros can be stored in any device-readable data storage medium and they include program instructions for performing particular tasks. The computer program product may comprise one or more computer-executable components configured to perform embodiments when the program is run. The one or more computer-executable components may be at least one software code or a portion thereof. Further in this regard it should be noted that any block of the logic flow as in the figures may represent a program step, or an interconnected logic circuit, block and function, or a combination of a program step and a logic circuit, block and function. The software may be stored on physical media such as memory chips or memory blocks implemented within the processor, magnetic media such as hard or floppy disks, and optical media such as, for example, DVDs and data variants thereof, CDs. The physical medium is a non-transitory medium.
It should be understood by those skilled in the art that various features of the above embodiments can be combined arbitrarily, and for the sake of brevity, all possible combinations of the features in the above embodiments are not described, but should be considered as within the scope of the present disclosure as long as there is no contradiction between the combinations of the features.
The above examples are merely illustrative of several embodiments of the present application, and the description is more specific and detailed, but not to be construed as limiting the scope of the present application. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present application shall be subject to the appended claims.
Claims (9)
1. A method for searching electronic component replacement materials is characterized by comprising the following steps:
classifying different electronic components into different categories based on the sku parameters of the electronic components, wherein the sku parameters of the electronic components under each category are described in the same way;
acquiring an original sku parameter and at least one parameter item to be compared of an original electronic component;
comparing each parameter item to be compared of the sku parameter to be selected of the same kind of the original electronic component with the parameter item to be compared of the original sku parameter one by one to obtain a parameter comparison value corresponding to each parameter item to be compared, wherein all the parameter comparison values of the same sku parameter to be selected form a parameter comparison result, and each sku parameter corresponds to an electronic component;
if the parameter comparison result meets the selection rule, selecting the electronic component corresponding to at least one sku parameter to be selected corresponding to the parameter comparison result as an alternative electronic component;
and calculating the similarity between each alternative electronic component and the original electronic component, and selecting the alternative electronic component with high similarity as the electronic component substitute.
2. The electronic component material replacement searching method as claimed in claim 1, wherein the parameter items to be compared of the original sku parameter and the parameter items to be compared of the sku parameter to be selected are compared in a literal relationship or a numerical value relationship according to the contents of the parameter items to be compared.
3. The method for searching for electronic component replacement materials according to claim 1, wherein in the step of obtaining the original sku parameter of the original electronic component and the at least one parameter item to be compared, the method comprises the steps of: acquiring an original sku parameter, at least one parameter item to be compared and at least one required equality item of an original electronic component; in the step of comparing each parameter item to be compared of the sku parameter to be selected of the same kind of the original electronic component with the parameter item to be compared of the original sku parameter, the required equal items of the sku parameter to be selected are the same as the required equal items of the original sku parameter.
4. The electronic component material replacement searching method as claimed in claim 1, wherein if the number of the parameter items to be compared that meet the comparison requirement is greater than a set threshold, the parameter comparison result is considered to meet the selection rule.
5. The electronic component replacement searching method according to claim 1, wherein in the step of calculating the similarity between the alternative electronic component and the original electronic component, the similarity between each alternative electronic component and the original electronic component is calculated by using a cosine similarity method.
6. The method for searching for the electronic component replacement material according to claim 5, wherein the common divisor is searched for the numerical items of the parameter items to be compared until the numerical items satisfy the contrast dimension value.
7. The utility model provides an electronic components substitute material seeking device which characterized in that includes:
the classification module is used for classifying different electronic components into different categories based on the sku parameters of the electronic components, wherein the sku parameters of the electronic components under each category are described in the same way;
the parameter acquisition module is used for acquiring an original sku parameter of an original electronic component and at least one parameter item to be compared;
the parameter comparison module is used for comparing each parameter item to be compared of the sku parameter to be selected of the same kind of the original electronic component with the parameter item to be compared of the original sku parameter one by one to obtain a parameter comparison value corresponding to each parameter item to be compared, all the parameter comparison values of the same sku parameter to be selected form a parameter comparison result, and each sku parameter corresponds to one electronic component;
the alternative component obtaining module is used for selecting the electronic component corresponding to at least one sku parameter corresponding to the parameter comparison result as an alternative electronic component if the parameter comparison result meets the selection rule;
and the substitute material acquisition module is used for calculating the similarity between each alternative electronic component and the original electronic component and selecting the alternative electronic component with high similarity as the substitute material of the electronic component.
8. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform the electronic component replacement material searching method according to any one of claims 1 to 6.
9. A readable storage medium having stored therein a computer program comprising program code for controlling a process to execute a process, the process comprising the electronic component replacement material search method according to any one of claims 1 to 6.
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Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104885101A (en) * | 2012-11-14 | 2015-09-02 | 雷普索尔有限公司 | Automatically selecting analogous members for new population members based on incomplete descriptions, including an uncertainty characterizing selection |
| CN109284420A (en) * | 2018-08-31 | 2019-01-29 | 国科赛思(北京)科技有限公司 | Electronic component substitutes selection system and substitution selection method |
| US10242193B1 (en) * | 2018-01-04 | 2019-03-26 | The Florida International University Board Of Trustees | Method of resource-limited device and device class identification using system and function call tracing techniques, performance, and statistical analysis |
| CN110737751A (en) * | 2019-09-06 | 2020-01-31 | 平安科技（深圳）有限公司 | Similarity value-based search method and device, computer equipment and storage medium |
| CN111626371A (en) * | 2020-05-29 | 2020-09-04 | 歌尔科技有限公司 | Image classification method, device and equipment and readable storage medium |
| CN113554104A (en) * | 2021-07-28 | 2021-10-26 | 哈尔滨工程大学 | Image classification method based on deep learning model |
| CN113837307A (en) * | 2021-09-29 | 2021-12-24 | 平安科技（深圳）有限公司 | Data similarity calculation method and device, readable medium and electronic equipment |
-
2022
- 2022-01-14 CN CN202210039879.5A patent/CN114064738B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104885101A (en) * | 2012-11-14 | 2015-09-02 | 雷普索尔有限公司 | Automatically selecting analogous members for new population members based on incomplete descriptions, including an uncertainty characterizing selection |
| US10242193B1 (en) * | 2018-01-04 | 2019-03-26 | The Florida International University Board Of Trustees | Method of resource-limited device and device class identification using system and function call tracing techniques, performance, and statistical analysis |
| CN109284420A (en) * | 2018-08-31 | 2019-01-29 | 国科赛思(北京)科技有限公司 | Electronic component substitutes selection system and substitution selection method |
| CN110737751A (en) * | 2019-09-06 | 2020-01-31 | 平安科技（深圳）有限公司 | Similarity value-based search method and device, computer equipment and storage medium |
| CN111626371A (en) * | 2020-05-29 | 2020-09-04 | 歌尔科技有限公司 | Image classification method, device and equipment and readable storage medium |
| CN113554104A (en) * | 2021-07-28 | 2021-10-26 | 哈尔滨工程大学 | Image classification method based on deep learning model |
| CN113837307A (en) * | 2021-09-29 | 2021-12-24 | 平安科技（深圳）有限公司 | Data similarity calculation method and device, readable medium and electronic equipment |
Non-Patent Citations (2)
| Title |
|---|
| "An alternative solder interconnect reliability test to evaluate drop impact performance";J.J.M. Zaal et al.;《Electronic Components and Technology Conference》;20080624;全文 * |
| "电子元器件自动分类的算法研究与系统开发";杜思思 等;《机电产品开发与创新》;20090216;全文 * |
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