Method for automatically adjusting backlight brightness of mobile terminal, mobile terminal and device

[0027] In order to enable those skilled in the art to better understand the solutions of the application, the technical solutions in the embodiments of the application will be clearly and completely described below in conjunction with the drawings in the embodiments of the application. Obviously, the described embodiments are only It is a part of the embodiments of this application, not all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative work should fall within the protection scope of this application.

[0028] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of this application and the above-mentioned drawings are used to distinguish similar objects, without having to use To describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances so that the embodiments described herein can be implemented in an order other than the content illustrated or described herein. In addition, the terms "including" and "having" and any variations of them are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not necessarily limited to the clearly listed Those steps or units may include other steps or units that are not clearly listed or are inherent to these processes, methods, products, or equipment.

[0029] Refer to figure 1 , figure 1 It is a schematic diagram of the first flow of an embodiment of a method for automatically adjusting backlight brightness of a mobile terminal according to the present application. The method for the mobile terminal to automatically adjust the brightness of the backlight includes the following steps:

[0030] S101: When the mobile terminal makes a payment, obtain the current payment scenario of the mobile terminal.

[0031] Specifically, the mobile terminal stores payment applications, such as WeChat, Alipay, and UnionPay cloud QuickPass. When the mobile terminal makes a payment, it is necessary to start the above-mentioned payment application and display the payment information on the display module of the mobile terminal.

[0032] When the mobile terminal receives the user's trigger operation, the mobile terminal opens the payment interface. The payment interface can refer to the interface for operations such as payment or transfer on the mobile terminal through the network, including but not limited to the following: payment interface of various mobile terminal online shopping software, various mobile terminal bank or mobile terminal wallet transfer interface. Based on the foregoing technology, in this embodiment, the current payment scenario of the mobile terminal can be acquired when a trigger operation of the mobile terminal user is detected.

[0033] The mobile terminal can store the location information of the payment place, which can be a convenience store, a shopping mall, a pedestrian street, a bus or a subway station. After the mobile terminal can obtain its own positioning information through the GPS module, the current payment scenario of the mobile terminal can be determined according to the matching result of its own positioning information and the stored location information of the payment place. In order to reduce the occupation of the storage space of the mobile terminal by the location information of the payment location, the location information of the payment location can also be stored in the server. The terminal can send its own location information to the server, and the server will perform the matching between the location information and the location information of the payment location. Operate, and then return the result to the mobile terminal.

[0034] In other embodiments, when a trigger operation by the user of the mobile terminal is detected and the payment interface is opened, the camera may be started to collect image information of the current scene where the mobile terminal is located. There is no limitation here.

[0035] S102: Determine whether the current payment scenario matches the preset payment scenario.

[0036] If yes, execute S103.

[0037] Specifically, the preset payment scene is generally an indoor low-light payment scene, such as a payment scene with weak indoor ambient light such as a bus, subway station, newsstand, or barber shop. The unit of the ambient light intensity can be lux. The illumination range of the low-light payment scene is 0-500 lux (lux), for example, 0 lux, 30 lux, 100 lux, or 500 lux. The mobile terminal can recognize whether the mobile terminal is currently in an indoor low-light payment scene or other payment scenes through the GPS module and camera.

[0038] After determining the current payment scenario of the mobile terminal, the location information of the current payment scenario of the mobile terminal can be matched with the location information of the preset payment scenario. In order to reduce the occupation of the storage space of the mobile terminal by the location information of the preset payment scene, the location information of the preset payment scene can also be stored in the server. The mobile terminal can send its current payment scene to the server, and the server executes the current payment scene The matching operation with the preset payment scenario, and then the result is returned to the mobile terminal.

[0039] In other embodiments, the mobile terminal may store the reference image information of the payment place, such as the image information of the scene in the supermarket, the image information of the scene in the restaurant, or the image information of the scene in the bus. After the terminal obtains the image information of the current scene, The degree of matching between the image information of the current scene and the reference image information of the payment place can be analyzed to determine the current payment scene of the mobile terminal. For example, compare the acquired image information of the current scene with the stored reference image information of the payment location to calculate the matching degree. If the calculated matching degree is greater than the preset matching degree threshold, the terminal determines that the current scene is a payment scene If the calculated matching degree is not greater than the preset matching degree threshold, the terminal determines that the current scene is not a payment scene.

[0040] S103: Obtain the first backlight brightness corresponding to the preset payment scene, and adjust the backlight brightness of the mobile terminal to the first backlight brightness.

[0041] Specifically, the mobile terminal may query the first backlight brightness corresponding to the preset payment scene according to the backlight brightness table, and adjust the backlight brightness of the mobile terminal to the first backlight brightness. In the embodiment of the present application, when it is determined that the mobile terminal is currently in an indoor low-light payment scene, the backlight brightness of the mobile terminal is increased, thereby improving the display effect of the payment code.

[0042] Different from the state of the art, in this embodiment, when the mobile terminal makes a payment, it first determines whether the current payment scene matches the preset payment scene, and when the current payment scene matches the preset payment scene, the preset payment scene is obtained. Corresponding to the first backlight brightness, and automatically adjust the backlight brightness of the mobile terminal to the first backlight brightness, so as to automatically adjust the backlight brightness of the display module. Compared with the prior art, this embodiment can improve indoor low-light scenes. The display effect of the payment code to improve the success rate of payment code payment. At the same time, the step of manually adjusting the backlight brightness of the mobile terminal when the user pays is omitted, the user's operation is simplified, the time is saved, and the user's payment experience is improved.

[0043] Refer to figure 2 , figure 2 It is a schematic diagram of the second flow of an embodiment of a method for automatically adjusting backlight brightness of a mobile terminal according to the present application. In an embodiment, obtaining the current payment scenario of the mobile terminal includes the following steps:

[0044] S201: Acquire a screenshot of the payment interface when the mobile terminal starts the payment interface.

[0045] Specifically, when it is detected that the mobile terminal starts the payment interface, when the mobile terminal performs a screenshot operation on the current payment interface, if the data of the current payment interface is a video, the picture of the current frame is directly intercepted, and the content displayed on the current payment interface is text Or pictures, etc., you can directly intercept the current payment interface.

[0046] In other embodiments, the user may trigger a screenshot acquisition instruction based on voice control instructions or gestures. When detecting information acquisition instructions, the mobile terminal performs screenshot operations on the current payment interface.

[0047] S202: Extract keywords in the screenshot, and obtain the current payment scenario according to the keywords.

[0048] Specifically, the screenshot can be processed through Optical Character Recognition (OCR) to obtain the text data in the screenshot. Wherein, the text data includes at least one keyword. The keywords contain all the real words used to describe the current payment scenario, for example, Shenzhen Tong, Yangcheng Tong, Guangzhou Metro Bus Code, Shenzhen Metro Bus Code, Swipe Code and Bus. Further, the word segmentation tool can be used to segment the text data in the screenshot to generate keywords corresponding to the current payment scenario. For example, the text data is Shenzhen Tong, Yangcheng Tong, Guangzhou Metro Bus Code, Shenzhen Metro Bus Code, Code Scanning and Bus, etc., and the keyword generated to describe the current payment scenario is bus. According to the keywords in the screenshots obtained above, it can be determined that the current payment scene is a payment scene with weak indoor ambient light such as a bus or subway station.

[0049] Through the above method, the current payment scene where the mobile terminal is located can be accurately obtained, and the above method for automatically adjusting the backlight brightness of the mobile terminal can be avoided in an outdoor strong light environment, so as to reduce the energy consumption of the mobile terminal.

[0050] Refer to image 3 , image 3 It is a schematic diagram of the third process of an embodiment of a method for automatically adjusting backlight brightness of a mobile terminal according to the present application. In an embodiment, obtaining the current payment scenario of the mobile terminal includes the following steps:

[0051] S301: Start the camera of the mobile terminal.

[0052] Specifically, when it is detected that the mobile terminal receives a user's trigger operation in step S101, the front camera or the rear camera of the mobile terminal may be automatically activated. Among them, the trigger operation of the mobile terminal user includes: a trigger operation based on fingerprint authentication, a trigger operation based on a sliding operation, or a trigger operation based on a button.

[0053] Wherein, the trigger operation based on fingerprint authentication may be that when the mobile terminal recognizes that the received fingerprint matches the fingerprint of the preset initial payment method interface, then the initial payment method interface is started. The fingerprint identification can be performed by the fingerprint identification button of the mobile terminal. The trigger operation based on the sliding operation may be that when the mobile terminal recognizes that the received sliding operation matches the preset sliding operation of the initial payment method interface, the initial payment method interface is started. Of course, as long as the sliding operation is received, the interface of the initial payment method can be activated. The key-based trigger operation may be that when the mobile terminal recognizes that the key in the received key trigger operation matches the preset key of the initial payment method interface, the initial payment method interface is started. For example, the button can be a home button, a fingerprint recognition button, a volume button, a switch button, and so on. It should be understood that the method of this embodiment is not limited to this, and may also be other trigger operation modes.

[0054] The mobile terminal may include multiple cameras, that is, two or more cameras, the multiple cameras are used to complete multi-point image shooting at multiple angles and/or positions, and each camera is a fixed camera or a movable camera.

[0055] S302: Collect an image of the current scene where the mobile terminal is located through a camera.

[0056] Specifically, the camera is started to collect the current scene image where the mobile terminal is located. Among them, the current scene image may be an image collected by a front camera or a rear camera. What needs to know is that the current scene image can be at least one of the space still life picture, the text content information of the space still life, or the physical movement information of the characters in the scene. For example, the space still life can be a bus payment code scanning device or a subway payment. Code scanning device or merchant payment code scanning device; or the characters in the scene can be bus drivers, subway station attendants, etc.

[0057] S303: Extract at least one information feature contained in the current scene image.

[0058] Specifically, if the current scene image is a bus payment code scanning device, a subway payment code scanning device, or a merchant payment code scanning device, the information feature can be a characteristic image or a characteristic text, such as the outline of the payment code scanning device, the payment code scanning device What you need to know is that when the above-mentioned current scene image is recognized, these characteristic images can be extracted.

[0059] S304: Determine the current payment scenario according to the information characteristics.

[0060] Specifically, the information feature in the current scene image can be matched with the information feature of the preset payment scene. For example, when the extracted information feature in the current scene image is the logo text of the payment code scanning device, the logo text of the payment code scanning device can be matched with the keywords of the preset payment scene. If at least one information feature in the current scene image is successfully matched with at least one information feature of the preset payment scene, it is determined that the current payment scene information matches the preset payment scene information successfully.

[0061] Through the above method, this embodiment can accurately determine whether the current payment scene matches the preset payment scene, avoid triggering the above-mentioned method of automatically adjusting the backlight brightness of the mobile terminal in an outdoor strong light environment, so as to reduce the energy consumption of the mobile terminal. At the same time, after the current payment scene is matched with the preset payment scene, the subsequent steps can be entered to improve the display effect of the payment code in the indoor low-light scene, and improve the success rate of payment code payment.

[0062] Refer to Figure 4 , Figure 4 It is a schematic diagram of the fourth flow of an embodiment of a method for automatically adjusting backlight brightness of a mobile terminal of the present application. In an embodiment, extracting at least one information feature contained in the current scene image includes the following steps:

[0063] S401: Separate items in the current scene image through an image segmentation algorithm.

[0064] Specifically, the image segmentation algorithm is a method in image processing, and the image segmentation algorithm refers to decomposing an image into a collection of disjoint regions. In this embodiment, the K-Means algorithm can be used to separate the items in the current scene image. The K-Means algorithm is a clustering algorithm based on distance similarity. By comparing the similarity between samples, samples of the form are classified into the same category. First, extract the color features of the current scene image. Taking the payment code scanning device as an example, the K-Means algorithm determines that the payment code scanning device is an item included in the current scene image.

[0065] S402: Extract contour features or regional features of the article to obtain information features.

[0066] Taking the above-mentioned image containing the payment code scanning device as an example, a set of feature data is extracted by comprehensively extracting features such as the shape feature, material feature, and color feature of the payment code scanning device, and the set of feature data is the item feature.

[0067] In other embodiments, the information feature may be at least one of the color feature, texture feature, shape feature, or local feature point of the current scene image. A saliency image about the original image can be obtained by using the saliency detection algorithm of the current scene image. The black part of the saliency image is the background and the non-black part is the target object. The target part of the saliency image is converted into the color corresponding to the original image. Color, get the segmented image.

[0068] Further, take small image blocks with equal density: take small image blocks at a medium distance of the target object, the size of the small blocks is 16*16 pixels, and the interval is 30 pixels.

[0069] The extraction of color features is: Calculate the normalized color histogram of the three channels of RGB for small image blocks. The color histogram of each channel has 16 frequency bands, that is, the obtained feature vector is 16-dimensional, so the obtained The color feature is 48 dimensions.

[0070] Extract texture features: take the pixel points in the eighth row and eighth column of the image block as feature points, and use the SURF descriptor to describe the neighborhood of the feature point to obtain a 128-dimensional feature vector.

[0071] Extract shape features: a feature extraction method based on polar coordinate transformation and Fourier transformation. Specifically, suppose the shape of the object is a closed curve, and the coordinate change of a moving point P(l) along the boundary curve x(l)+jy( l) (P(l) coordinates are expressed in complex form) is a function whose period is the perimeter of the shape boundary. This periodic function can be expressed in the form of Fourier series. A series of coefficients z(k) in the Fourier series is directly related to the shape of the boundary curve and is called the Fourier descriptor. When the coefficient term is taken to a sufficient order, the shape information of the object can be completely extracted and restored.

[0072] Extract local feature points: splice the color feature vector and texture feature vector column to get the local feature vector of the small block, which is the local feature point.

[0073] Refer to Figure 5 , Figure 5 It is a schematic diagram of the fifth process of an embodiment of a method for automatically adjusting backlight brightness of a mobile terminal of this application. In an embodiment, determining the current payment scenario according to information characteristics includes the following steps:

[0074] S501: Match the contour feature or the area feature with the item model marked with the keyword.

[0075] S502: Extract keywords corresponding to the successfully matched item model.

[0076] S503: Determine the current payment scenario according to the successfully matched keywords.

[0077] Specifically, by sequentially traversing the item models marked with keywords through the item features extracted in step S403, and obtaining the item models marked with keywords that are successfully matched with contour features or regional features. The keywords marked by the item model can be keywords such as the type and characteristics of the item model, or the payment scenario to which it belongs. For example, the keyword corresponding to the bus payment code scanning device is bus, and the keyword corresponding to the subway payment code scanning device is subway station. , The keyword corresponding to the merchant payment code scanning device is supermarket or convenience store, etc. There is no limitation here. Extract the keywords of the payment scene to which the above-mentioned item model successfully matched, and determine the current payment scene according to the successfully matched keywords.

[0078] Refer to Image 6 , Image 6 It is a schematic diagram of the sixth process of an embodiment of the method for automatically adjusting the brightness of the backlight of the mobile terminal of the present application. In an embodiment, the information feature is text information in the current scene image. Determining the current payment scenario based on information characteristics includes the following steps:

[0079] S601: Match the text information in the current scene image with keywords.

[0080] S602: Determine the current payment scenario according to the successfully matched keywords.

[0081] Specifically, when the extracted information feature in the current scene image is the logo text of the payment code scanning device, the logo text of the payment code scanning device may be sequentially traversed to match keywords. The keywords may be keywords related to the payment scenario, for example, bus, subway, supermarket, or convenience store. There is no limitation here. Extract the successfully matched keywords, and determine the current payment scenario based on the successfully matched keywords.

[0082] Refer to Figure 7 , Figure 7 It is a schematic diagram of the seventh process of an embodiment of a method for automatically adjusting backlight brightness of a mobile terminal according to the present application. In an embodiment, obtaining the current payment scenario of the mobile terminal includes the following steps:

[0083] S701: When the mobile terminal starts the payment interface, obtain package information of the application corresponding to the payment interface.

[0084] Specifically, the above-mentioned program package may be an XAP package, which is a compressed package, and the compressed package contains the assembly and configuration required when the application corresponding to the payment interface is running. After parsing the XAP package corresponding to the application program, the program package information in the foregoing XAP package can be obtained. It should be noted that the XAP file is a file after the application is compiled and packaged. It is a standard zip compressed file, including all the files required by the application, such as assembly, resource files, etc. The package information may include at least one of a package icon, a name, and a version number.

[0085] S702: Match the package information of the application with the package information marked with the keyword.

[0086] Specifically, by sequentially traversing the item models with the keyword marked with the item features extracted in step S403, to obtain the item models with the keyword marked with the item features successfully matched. The keywords marked by the item model can be keywords such as the type and characteristics of the item model, or the payment scenario to which it belongs. For example, the keyword corresponding to the bus payment code program is bus, and the keyword corresponding to the subway payment code program is subway station, merchant The keywords corresponding to the payment code program are supermarkets or convenience stores, etc. There is no limitation here.

[0087] S703: Determine the current payment scenario according to the successfully matched keywords.

[0088] Extract the keywords corresponding to the above program package information that is successfully matched, and determine the current payment scenario according to the keywords that are successfully matched.

[0089] Refer to Figure 8 , Figure 8 It is a schematic diagram of the eighth process of an embodiment of a method for automatically adjusting backlight brightness of a mobile terminal according to the present application. In an embodiment, before adjusting the backlight brightness of the mobile terminal to the first backlight brightness, the method further includes the following steps:

[0090] S801: Acquire the second backlight brightness of the mobile terminal.

[0091] S802: Determine whether the second backlight brightness is less than the first backlight brightness.

[0092] S803: If yes, adjust the backlight brightness of the mobile terminal to the first backlight brightness.

[0093] Specifically, if the difference between the second backlight brightness value and the first backlight brightness value is greater than the preset threshold, the backlight adjustment interface is called to adjust the backlight brightness value of the screen of the mobile terminal to the first backlight brightness. The second backlight brightness corresponds to the current environment brightness of the terminal device.

[0094] Refer to Picture 9 , Picture 9 It is a schematic structural diagram of an embodiment of a mobile terminal of the present application. The present application provides a mobile terminal 90. The mobile terminal 90 includes a processor 91, a memory 93, and a display module 92. The processor 91 is coupled to the memory 93 and the display module 92. The processor 91 is configured to obtain the current payment scenario of the mobile terminal 90 when the mobile terminal 90 makes a payment, and determine whether the current payment scenario matches a preset payment scenario. The processor 91 is further configured to obtain the first backlight brightness corresponding to the preset payment scene when the current payment scene matches the preset payment scene. The processor 91 is configured to adjust the backlight brightness of the display to the first backlight brightness. The memory 93 is used to store the first backlight brightness.

[0095] Specifically, the mobile terminal 90 involved in the embodiments of the present application may include various handheld devices with wireless communication functions, vehicle-mounted devices, wearable devices, computing devices or other processing devices connected to wireless modems, as well as various forms of User Equipment (UE), Mobile Station (Mobile Station, MS), terminal device (terminal device), etc.

[0096] The display module 92 of the mobile terminal 90 generally includes a display screen (for example, a liquid crystal display), a backlight source (for example, an LED backlight source), a driving circuit, a connector, and a control circuit. The backlight source is located behind the display screen, and the display screen does not emit light. The graphics or characters displayed on the display screen are the result of the display module modulating the light generated by the backlight source. The backlight source generally consists of a light source (for example, an LED lamp), a light guide plate (for example, the light guide plate may be composed of acrylic material), an optical film, a plastic frame, and the like. A light guide plate is arranged on the light source, and an optical film is arranged on the light guide plate. The light guide plate and the optical film can convert the light generated by the light source into uniform light.

[0097] The processor 91 is the control center of the mobile terminal 90, which uses various interfaces and lines to connect the various parts of the entire mobile phone, runs or executes the software programs and/or modules stored in the memory 93, and calls data stored in the memory 93 , Perform various functions of the mobile phone and process data, so as to monitor the mobile phone as a whole. Optionally, the processor 91 may include one or more processing units; preferably, the processor 91 may integrate an application processor 91 and a modem processor 91, where the application processor 91 mainly processes the operating system, user interface, and For application programs, the modem processor 91 mainly handles wireless communication. It can be understood that the foregoing modem processor 91 may not be integrated into the processor 91.

[0098] The processor 91 is configured to obtain the current payment scenario of the mobile terminal 90 when the mobile terminal 90 makes a payment, and determine whether the current payment scenario matches a preset payment scenario. The processor 91 is further configured to obtain the first backlight brightness corresponding to the preset payment scene when the current payment scene matches the preset payment scene. The processor 91 is configured to adjust the backlight brightness of the display to the first backlight brightness. The memory 93 is used to store the first backlight brightness.

[0099] Wherein, the processor 91 is configured to obtain a screenshot of the payment interface when the mobile terminal 90 starts the payment interface, extract keywords in the screenshot, and obtain the current payment scenario according to the keywords.

[0100] Among them, the mobile terminal 90 further includes a camera 94. The processor 91 is coupled to the camera 94. The processor 91 is configured to activate the camera 94 of the mobile terminal 90 when the mobile terminal 90 makes a payment. The camera 94 is used to collect images of the current scene where the mobile terminal 90 is located. The processor 91 is configured to extract at least one information feature contained in the current scene image, and determine the current payment scene where the mobile terminal 90 is located according to the information feature.

[0101] Among them, the processor 91 is used to extract at least one of the color feature, texture feature, shape feature, or local feature point of the current scene image, and separate the items in the current scene image through an image segmentation algorithm, and extract the contour features or Regional characteristics are used as item characteristics.

[0102] Among them, the processor 91 is configured to match item features with item models marked with keywords; extract keywords corresponding to successfully matched item models; and determine the current payment scenario where the mobile terminal 90 is located according to the successfully matched keywords.

[0103] Wherein, the information feature is the text information in the current scene image, and the processor 91 is used to match the text information in the current scene image with keywords, and determine the current payment scene in which the mobile terminal 90 is located according to the successfully matched keywords .

[0104] The processor 91 is configured to obtain package information of the application program corresponding to the payment interface when the mobile terminal 90 starts the payment interface, and match the package information of the application program with the package information marked with the keyword. The processor 91 is also configured to determine the current payment scenario where the mobile terminal 90 is located according to the successfully matched keywords.

[0105] The processor 91 is configured to obtain the second backlight brightness of the mobile terminal 90 and determine whether the second backlight brightness is less than the first backlight brightness. If so, the processor 91 is configured to adjust the backlight brightness of the mobile terminal 90 to the first backlight brightness.

[0106] Different from the situation in the prior art, in this embodiment, when the mobile terminal 90 makes a payment, it first determines whether the current payment scene matches the preset payment scene, and when the current payment scene matches the preset payment scene, the payment is obtained from the preset payment scene. The first backlight brightness corresponding to the scene, and automatically adjust the backlight brightness of the mobile terminal 90 to the first backlight brightness, so as to automatically adjust the backlight brightness of the display module. Compared with the prior art, this embodiment can be used in indoor low-light scenes. The display effect of the payment code has been improved to improve the success rate of payment code payment. At the same time, the step of manually adjusting the backlight brightness of the mobile terminal 90 when the user makes a payment is omitted, which simplifies user operations, saves time, and improves the user's payment experience.

[0107] Refer to Picture 10 , Picture 10 It is a schematic structural diagram of an embodiment of a device with a storage function in this application. The present application provides a device 10 with a storage function. The device 10 stores program data, and the program data can be executed to implement the method for automatically adjusting the backlight brightness of the mobile terminal as described above.

[0108] The device 10 with a storage function may be used for the above-mentioned mobile terminal 90, or may be used for a server.

[0109] The computer program 10 stored in the storage device 10 of this embodiment is similar to the computer program stored in the memory 93 in the above embodiment of the mobile terminal 90, and the method steps implemented by the processor 91 are similar and will not be repeated here.

[0110] The technical solution of the present application is essentially or a part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The program data is stored in a device 10 with storage function. The storage function device 10 includes a number of instructions to enable a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor to execute all or part of the steps of the methods in the various embodiments of the present application. The aforementioned storage device 10 includes: U disk, mobile hard disk, Read-Only Memory (ROM, Read-Only Memory), Random Access Memory (RAM, Random Access Memory), magnetic disks or optical disks, etc., which can store programs. Code device 10.

[0111] The above is only the implementation of this embodiment, and does not limit the scope of the patent of this embodiment. Any equivalent structure or equivalent process transformation made by using the description and drawings of this embodiment, or directly or indirectly applied to other Related technical fields are included in the scope of patent protection of this embodiment in the same way.