Abstract: Adaptive Lighting Control System and method thereof for vehicles Abstract of the Invention Disclosed herein an adaptive lighting control system and method thereof for vehicles, wherein the lighting control system comprises of one or more lighting devices electrically mounted on the vehicle, a vehicle control unit, an intelligent processing module configured to receive real time vehicle driving parameters from the vehicle control unit, wherein said one or more lighting devices is in communication with the vehicle control unit and configured to be de-activated based on the driving pattern of the driver.
Description:Adaptive Lighting Control System and method thereof for vehicles
Field of the Invention
The present disclosure relates to adaptive lighting control system and method thereof. More particularly, the present disclosure relates to a system and method of controlling lighting based on the driving pattern of the driver.
Background of the Invention
A lighting Indicator system having a pair of indicators at the front and rear end of the vehicle has been known since many years. The indication system works in response to an actuating or electric switch which is pressed and slid in the direction in which the driver wants to go. There have been many times when the driver forgets to switch off the indicators and because of which blinking indicator lights create a confusion in the minds of other rear drivers on the street and also leads to unnecessary consumption of battery of the vehicle.
In order to solve the above problem, there have been attempts being made and that uses a sensor that measures rotation of handlebar and accordingly automatically switches off the indicator after the vehicle has completed its turn based on the angle of rotation. However, this solution is subjective as the rotation of handlebar will vary from driver to driver. The usual logic is to check if a turn has been executed after the rider switches on the indicator. After the rider switches on the turn indicator, the mechanism checks the handlebar turn angle or vehicle lean angle if it crosses a set threshold. Once the sensor detects a turn and returns to a straight-ahead position, the mechanism will switch-off the indicator.
Further, using an Inertial Measurement Unit (IMU) sensor to measure vehicle tilt angle is also one of the solutions, but like above, this solution is subjective.
Depending on the speed, the angle of lean and handlebar rotation required changes and may not cross the cutoffs set by mechanism. In addition, for the same turn, the values of lean and steer may be different for different riders.
Current solutions also often fail to take into account cases where riders switch on turn indicators while waiting at stop signs or red signals on the road. This also applies for cases where some riders switch on the indicator at large distances before the turn but the mechanism switches off the indicator assuming false start.
There are various other solutions that have been provided according to the existing arts, but all these solutions still have challenges because of their limited applications, inefficient functioning and interdependency on external factors. It is, therefore, important to work on the alternative solution to develop an adaptive lighting system for vehicles which learns rider behaviour and accordingly acts for shutting off the front and/or rear indicator lighting system of the vehicle. motor integrated swingarm assembly that makes the motor a component independent of the swing arm configuration and minimizes stress on the chassis or swing arms and utilizes motor as functional stress member with simplified and time saving mountings and obviates the 10 complexity and challenges of the prior arts.
Summary of the Invention
This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This summary is not intended to identify key features or essential features of the claimed subject matter. Nor is this summary intended to be used to limit the claimed subject matter’s scope. Both the foregoing summary and the following detailed description provide examples and are explanatory only.
Accordingly, the foregoing summary and the following detailed description should not be considered to be restrictive. Further, features or variations may be provided in addition to those set forth herein. For example, embodiments may be directed to various feature combinations and sub-combinations described in the detailed description.
It is one of the objectives of the present invention to provide an adaptive lighting control system for vehicle which precisely and automatically shuts off the indicators after completion of vehicle’s turn.
It is one of the objectives of the present invention to provide an adaptive lighting control system for vehicle which prevents lag issues in communication by directly mounting the lighting control system on the vehicle.
It is one of the objectives of the present invention to provide an adaptive lighting control system for vehicle which operates in accordance with driving behaviour of the driver.
In accordance with one embodiment of the present invention, there is provided an adaptive lighting control system for vehicles, comprises of one or more lighting devices electrically mounted on the vehicle and adapted to illuminate or indicate vehicle turning, a vehicle control unit, an intelligent processing module configured to receive real time vehicle driving parameters from the vehicle control unit, wherein said intelligent processing module is configured to evaluate driving pattern of driver of the vehicle, wherein said one or more lighting devices is in communication with the vehicle control unit and configured to be de-activated based on the driving pattern of the driver.
In accordance with one embodiment of the present invention, there is provided an adaptive lighting control system for vehicles, comprises of one or more lighting devices electrically mounted on the vehicle and adapted to illuminate or indicate vehicle turning, a vehicle control unit, an intelligent processing module configured to receive real time vehicle driving parameters from the vehicle control unit, wherein said intelligent processing module is configured to evaluate driving pattern of driver of the vehicle, wherein said one or more lighting devices is in communication with the vehicle control unit and configured to be de-activated based on the driving pattern of the driver, wherein said one or more lighting devices includes front and/or rear side lighting indicators.
In accordance with one embodiment of the present invention, there is provided an adaptive lighting control system for vehicles, comprises of one or more lighting devices electrically mounted on the vehicle and adapted to illuminate or indicate vehicle turning, a vehicle control unit, an intelligent processing module configured to receive real time vehicle driving parameters from the vehicle control unit, wherein said intelligent processing module is configured to evaluate driving pattern of driver of the vehicle, wherein said one or more lighting devices is in communication with the vehicle control unit and configured to be activated based on the driving pattern of the driver, wherein said driving pattern of driver is evaluated based on the vehicle driving parameters such as time interval between said indicators being switched on and initiation of turn, changes in velocity, brake application intensity, and time when the vehicle turn is completed.
In accordance with one embodiment of the present invention, there is provided an adaptive lighting control system for vehicles, comprises of one or more lighting devices electrically mounted on the vehicle and adapted to illuminate or indicate vehicle turning, a vehicle control unit, an intelligent processing module configured to receive real time vehicle driving parameters from the vehicle control unit, wherein said intelligent processing module is configured to evaluate driving pattern of driver of the vehicle, wherein said one or more lighting devices is in communication with the vehicle control unit and configured to be de-activated based on the driving pattern of the driver, wherein said intelligent processing module is in communication with an Inertial Measurement Unit Sensor of the Vehicle.
In accordance with one embodiment of the present invention, there is provided an adaptive lighting control system for vehicles, comprises of one or more lighting devices electrically mounted on the vehicle and adapted to illuminate or indicate vehicle turning, a vehicle control unit, an intelligent processing module configured to receive real time vehicle driving parameters from the vehicle control unit, wherein said intelligent processing module is configured to evaluate driving pattern of driver of the vehicle, wherein said one or more lighting devices is in communication with the vehicle control unit and configured to be de-activated based on the driving pattern of the driver, wherein said intelligent processing module enables automatic shut-off of the lighting indicators based on a plurality of statistical points corresponding to the driving pattern of the driver.
In accordance with one embodiment of the present invention, there is provided an adaptive lighting control system for vehicles, comprises of one or more lighting devices electrically mounted on the vehicle and adapted to illuminate or indicate vehicle turning, a vehicle control unit, an intelligent processing module configured to receive real time vehicle driving parameters from the vehicle control unit, wherein said intelligent processing module is configured to evaluate driving pattern of driver of the vehicle, wherein said one or more lighting devices is in communication with the vehicle control unit and configured to be de-activated based on the driving pattern of the driver, wherein said intelligent processing module is configured to create statistical points based on vehicle driving parameters such as time interval between start of the lighting indicator, start of braking, start of vehicle lean, and end of lean and start of accelerator input, brake intensity, accelerator intensity and velocity correlation with each phase of the turn by leaning at different angles.
In accordance with one embodiment of the present invention, there is provided an adaptive lighting control system for vehicles, comprises of one or more lighting devices electrically mounted on the vehicle and adapted to illuminate or indicate vehicle turning, a vehicle control unit, an intelligent processing module configured to receive real time vehicle driving parameters from the vehicle control unit, wherein said intelligent processing module is configured to evaluate driving pattern of driver of the vehicle, wherein said one or more lighting devices is in communication with the vehicle control unit and configured to be de-activated based on the driving pattern of the driver, wherein said intelligent processing module is provided on the vehicle to store values of different vehicle driving parameters for evaluating driving behaviour of the driver and immediately shut-off the lighting indicator based on evaluated driving behaviour in real time.
In accordance with any above embodiments of the present invention, wherein said vehicle is an electric two-wheeler vehicle.
In accordance with another embodiment of the present invention, there is provided a method for controlling lighting devices in vehicle, comprises of collecting parametric values of plurality of real time vehicle driving parameters by an intelligent processing module from a vehicle control unit, evaluating driving pattern of a driver based on the collected real time vehicle driving parameters, and deactivating the activated lighting devices based on the evaluated driving pattern of the driver, wherein real time vehicle driving parameters comprises of time intervals between lighting devices being switched on and initiation of turn, changes in velocity, brake application intensity, and time when the vehicle turn is completed, time interval between start of the lighting indicator, start of braking, start of vehicle lean, and end of lean and start of accelerator input, brake intensity, accelerator intensity and velocity correlation with each phase of the turn by leaning at different angles.
Brief Description of the Drawings
Figure 1 shows a flowchart illustrating data flow among various components.
Figure 2, 3 and 4 show a tree-based flowchart explaining working operation of the intelligent processing module.
Figure 5 shows a block diagram illustrating working of the adaptive indicator system for vehicles.
Detailed Description of the Invention
As a preliminary matter, it will readily be understood by one having ordinary skill in the relevant art that the present disclosure has broad utility and application. As should be understood, any embodiment may incorporate only one or a plurality of the above-disclosed aspects of the disclosure and may further incorporate only one or a plurality of the above-disclosed features. Furthermore, any embodiment discussed and identified as being “preferred” is considered to be part of a best mode contemplated for carrying out the embodiments of the present disclosure. Other embodiments also may be discussed for additional illustrative purposes in providing a full and enabling disclosure. Moreover, many embodiments, such as adaptations, variations, modifications, and equivalent arrangements, will be implicitly disclosed by the embodiments described herein and fall within the scope of the present disclosure.
Accordingly, while embodiments are described herein in detail in relation to one or more embodiments, it is to be understood that this disclosure is illustrative and exemplary of the present disclosure and are made merely for the purposes of providing a full and enabling disclosure. The detailed disclosure herein of one or more embodiments is not intended, nor is to be construed, to limit the scope of patent protection afforded in any claim of a patent issuing here from, which scope is to be defined by the claims and the equivalents thereof. It is not intended that the scope of patent protection be defined by reading into any claim a limitation found herein that does not explicitly appear in the claim itself.
Additionally, it is important to note that each term used herein refers to that which an ordinary artisan would understand such term to mean based on the contextual use of such term herein. To the extent that the meaning of a term used herein—as understood by the ordinary artisan based on the contextual use of such term—differs in any way from any particular dictionary definition of such term, it is intended that the meaning of the term as understood by the ordinary artisan should prevail. Furthermore, it is important to note that, as used herein, “a” and “an” each generally denotes “at least one,” but does not exclude a plurality unless the contextual use dictates otherwise. When used herein to join a list of items, “or” denotes “at least one of the items,” but does not exclude a plurality of items of the list. Finally, when used herein to join a list of items, “and” denotes “all of the items of the list.”
The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or similar elements. While many embodiments of the disclosure may be described, modifications, adaptations, and other implementations are possible. For example, substitutions, additions, or modifications may be made to the elements illustrated in the drawings, and the methods described herein may be modified by substituting, reordering, or adding stages to the disclosed methods. Accordingly, the following detailed description does not limit the disclosure. Instead, the proper scope of the disclosure is defined by the appended claims. The present disclosure contains headers. It should be understood that these headers are used as references and are not to be construed as limiting upon the subjected matter disclosed under the header.
Referring to figure 1, in a two-wheeler electric vehicle, rider input data from vehicle’s throttle and brake, and indicator switch are communicated to Vehicle Control Unit (VCU) for collecting information related to vehicle’s de-acceleration/acceleration, vehicle speed, RPM of engine/motor, turn indicator switch on/off, wherein an inertial measurement unit (IMU) is also provided which actually is a sensor for measuring lean angle of the vehicle.
Further, the time interval for information related to vehicle’s de-acceleration/acceleration, vehicle speed, RPM of engine/motor, turn indicator switch on/off and vehicle’s lean angle are sensed and recorded in the compute unit (intelligent processing unit) by way of communication between on-board time interval recorder and the compute unit, wherein a shut off signal corresponding to the indicator shut off is transmitted to the vehicle control unit based on computation of the data inside the compute unit.
Further, the intelligent processing unit is configured to learn rider behaviour based on collecting vehicle driving parameters such as time interval between indicator switch on and initiation of turn, between indicator switch on and changes to velocity, between indicator switch on and brake application intensity, and the IMU data to detect when the turn is completed, wherein said compute unit performs calculations and data storage on the vehicle to avoid lag issues related to transferring data to cloud based systems, wherein said compute unit creates statistical data points such as mean, median, mode, min, max and quartile range of each said vehicle driving parameters, and calculates the statistical data points of time interval between start of indicator, braking, vehicle leaning and end of leaning, and start of accelerator input, and based on the computed values of statistical data points, the compute unit decides to send a shut off signal or no change signal to the vehicle control unit.
Further, the compute unit also evaluates statistical data points of brake intensity, accelerator intensity, angle of lean of the vehicle and velocity correlation with each phase of the turn so as to provide a shut off signal more accurately at the correct time. The intelligent processing unit is provided with a storage unit which stores and contains historical data of the above statistical data points of the vehicle that has been driven for a definite time so that next time when the vehicle is turned and indicator is switched on, based on the real time statistical data points of said vehicle driving parameters, the compute unit determines shut off time employing the historical data from the storage unit and enables shut off of the indicators of the vehicle by communicating the same through the vehicle control unit.
Referring to figure 2, an architecture of a multi-level tree analytical module of the intelligent processing unit is shown, wherein each tree (T1, T2, T3, T4, T5………..Tn) represents an analysis of one or more vehicle driving parameters in terms of time interval with respect to the time at which the indicator was switched on. For Eg: For determining on/off states of the indicators, one of the trees consider speed and time in case the speed exceeds a first predetermined value (x), otherwise throttle function is considered in case the speed is below the first predetermined value (x), and further braking intensity is considered in case the throttle function exceeds third predetermined value (z). The output response of each tree is in the form of determined on/off state of the indicators, wherein the lighting indicators of the vehicle receives final output response in the form of whether the indicators is to be switched on or off, wherein a decision for switching on or off is taken based on the output response of all the multi-level trees, wherein the indicator lighting devices are automatically switched off when the output response of majority of the trees is received as switch off.
For determining on/off states of the indicators, in case when speed remain exceeded at the first predetermined value (x) for time more than the second predetermined value (y), a decision for switching off is taken based on the output response by the intelligent processing unit and in case when speed remain exceeded at the first predetermined value (x) for time less than the second predetermined value (y), a decision of keeping the switch on is taken.
Referring to Figure 3, in one exemplary embodiment, while the rider wants to turn the vehicle, and when the brake time exceeds x and lean angle exceeds 2 degrees, the indicator is kept switched on and if the lean angle is below 2 degrees, the indicator is signalled to get switched off. Further, when the brake time is less than x and during which if the throttle exceeds z, the indicator is signalled to get switched off. In case the lean angle is 0, and throttle remains below z, the indicator is kept switched on.
Further, in another exemplary embodiment, if the throttle is above its threshold value (x) for time less than y, the indicator is kept switched on, but in case, if the throttle is above its threshold value (x) for time more than y, the indicator is signalled to get switched off.
Further, in another exemplary embodiment, if the throttle is below its threshold value (x) while the braking intensity is above its threshold value (z), the indicator is signalled to get switched off, but in case if the throttle is below its threshold value (x) while the braking intensity is below its threshold value (z), the indicator is signalled to get switched on.
In accordance with another exemplary embodiment of the present invention, when the lateral acceleration (Latacc) exceeds its threshold value (x) and while the throttle remains below its threshold value (y), the indicator is kept switched on, and if throttle remains above its threshold value (y), the indicator is signalled to get switched off.
Furthermore, in accordance with another exemplary embodiment, when the lateral acceleration (Latacc) is below its threshold value (x) and while the brake intensity is above its threshold value (z) and lean angle exceeds its threshold value (p), the indicator is kept switched on, and if brake intensity is below its threshold value (z), the indicator is kept switched on.
Referring to Figure 5, shows onboard AI compute engine of the adaptive lighting control system, which includes a queuing mechanism for incoming data signals, a processing unit which accepts the queued data and uses an AI model to predict whether indicator needs to be turned off, a correction mechanism based on previous behaviour of rider, and storage to keep history of rider previous behaviour.
The data signals from Vehicle Control Unit (VCU) and Inertial Measurement Unit often arrive asynchronously and therefore it is important to have a temporary waiting space where these signals can be stored before the AI engine consumes it for calculations. The queuing mechanism provides this facility and ensures no signal is lost due to processor being busy with previous calculation, or if a data point is to be consumed in the next step while processor is busy with current step. The AI engine consumes this data and predicts whether the turn indicator needs to shut off. It can use variety of algorithms typically used for classification problem. The example of random forest is given for illustrative purpose only and not a limiting factor. Based on compute power and accuracy, a simpler algorithm such as logistic regression or a complex algorithm such as artificial neural network may also be used.
Further, the AI engine provides the first level response of whether indicator lamp should be switched off. This signal along with its related input parameters such as time since indicator lamp turned ON, lean angle, throttle, etc. are sent to the correction unit, wherein the correction unit checks in the historical storage how rider had responded when such a scenario happened in the past and accordingly updates the response. Eg. if for similar events in past with same parameter values, if the rider immediately switched ON the indicator after algorithm shut it OFF, then the correction unit will update the output to keep the indicator lamp ON. Similarly in case the first response is to keep the indicator ON but historical behaviour shows rider switched off the lamp, then updated response will be to switch off the lamp. This ensures each rider gets a custom trained response suitable for his/her riding pattern. The storage unit is a fast access device so decision making is not obstructed, wherein its size can be tuned to have memory of few days to a few months.
While the invention is amenable to various modifications and alternative forms, some embodiments have been illustrated by way of example in the drawings and are described in detail above. The intention, however, is not to limit the invention by those examples and the invention is intended to cover all modifications, equivalents, and alternatives to the embodiments described in this specification.
The embodiments in the specification are described in a progressive manner and focus of description in each embodiment is the difference from other embodiments. For same or similar parts of each embodiment, reference may be made to each other.
It will be appreciated by those skilled in the art that the above description was in respect of preferred embodiments and that various alterations and modifications are possible within the broad scope of the appended claims without departing from the spirit of the invention with the necessary modifications.
Based on the description of disclosed embodiments, persons skilled in the art can implement or apply the present disclosure. Various modifications of the embodiments are apparent to persons skilled in the art, and general principles defined in the specification can be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure is not limited to the embodiments in the specification but intends to cover the most extensive scope consistent with the principle and the novel features disclosed in the specification. , Claims:We claim:
1. An Adaptive Lighting Control System for vehicles, comprises of:
one or more lighting devices electrically mounted on the vehicle and adapted to illuminate or indicate vehicle turning;
a vehicle control unit;
an intelligent processing module configured to receive real time vehicle driving parameters from the vehicle control unit, wherein said intelligent processing module is configured to evaluate driving pattern of driver of the vehicle,
wherein said one or more lighting devices is in communication with the vehicle control unit and configured to be de-activated based on the driving pattern of the driver.
2. The Adaptive Lighting Control System as claimed in claim 1, wherein said one or more lighting devices includes front and/or rear side lighting indicators.
3. The Adaptive Lighting Control System as claimed in claim 1, wherein said driving pattern of driver is evaluated based on the vehicle driving parameters such as time interval between said indicators being switched on and initiation of turn, changes in velocity, brake application intensity, and time when the vehicle turn is completed.
4. The Adaptive Lighting Control System as claimed in claim 1, wherein said intelligent processing module is in communication with an Inertial Measurement Unit Sensor of the Vehicle.
5. The Adaptive Lighting Control System as claimed in claim 1, wherein said intelligent processing module enables automatic shut-off of the lighting indicators based on a plurality of statistical points corresponding to the driving pattern of the driver.
6. The Adaptive Lighting Control System as claimed in claim 1, wherein said intelligent processing module is configured to create statistical points based on vehicle driving parameters such as time interval between start of the lighting indicator, start of braking, start of vehicle lean, and end of lean and start of accelerator input, brake intensity, accelerator intensity and velocity correlation with each phase of the turn by leaning at different angles.
7. The Adaptive Lighting Control System as claimed in claim 1, wherein said intelligent processing module is provided on the vehicle to store values of different vehicle driving parameters for evaluating driving behaviour of the driver and immediately shut-off the lighting indicator based on evaluated driving behaviour in real time.
8. The Adaptive Lighting Control System as claimed in claim 1, wherein said vehicle is an electric two-wheeler vehicle.
9. A method for controlling lighting devices in vehicle, comprises of:
collecting parametric values of plurality of real time vehicle driving parameters by an intelligent processing module from a vehicle control unit;
evaluating driving pattern of a driver based on the collected real time vehicle driving parameters; and
deactivating the activated lighting devices based on the evaluated driving pattern of the driver,
wherein real time vehicle driving parameters comprises of time intervals between lighting devices being switched on and initiation of turn, changes in velocity, brake application intensity, and time when the vehicle turn is completed, time interval between start of the lighting indicator, start of braking, start of vehicle lean, and end of lean and start of accelerator input, brake intensity, accelerator intensity and velocity correlation with each phase of the turn by leaning at different angles.
| # | Name | Date |
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| 3 | 202321051091-FORM FOR SMALL ENTITY(FORM-28) [28-07-2023(online)].pdf | 2023-07-28 |
| 4 | 202321051091-FORM FOR SMALL ENTITY [28-07-2023(online)].pdf | 2023-07-28 |
| 5 | 202321051091-FORM 1 [28-07-2023(online)].pdf | 2023-07-28 |
| 6 | 202321051091-EVIDENCE FOR REGISTRATION UNDER SSI(FORM-28) [28-07-2023(online)].pdf | 2023-07-28 |
| 7 | 202321051091-EVIDENCE FOR REGISTRATION UNDER SSI [28-07-2023(online)].pdf | 2023-07-28 |
| 8 | 202321051091-DRAWINGS [28-07-2023(online)].pdf | 2023-07-28 |
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| 10 | 202321051091-COMPLETE SPECIFICATION [28-07-2023(online)].pdf | 2023-07-28 |
| 11 | 202321051091-Proof of Right [22-08-2023(online)].pdf | 2023-08-22 |
| 12 | 202321051091-FORM-8 [23-08-2023(online)].pdf | 2023-08-23 |
| 13 | 202321051091-MSME CERTIFICATE [22-11-2023(online)].pdf | 2023-11-22 |
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| 15 | 202321051091-FORM-9 [22-11-2023(online)].pdf | 2023-11-22 |
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| 18 | 202321051091-RELEVANT DOCUMENTS [08-08-2024(online)].pdf | 2024-08-08 |
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| 21 | 202321051091-FORM 13 [08-08-2024(online)].pdf | 2024-08-08 |
| 22 | 202321051091-FER.pdf | 2024-08-28 |
| 23 | 202321051091-PA [01-10-2024(online)].pdf | 2024-10-01 |
| 24 | 202321051091-ASSIGNMENT DOCUMENTS [01-10-2024(online)].pdf | 2024-10-01 |
| 25 | 202321051091-8(i)-Substitution-Change Of Applicant - Form 6 [01-10-2024(online)].pdf | 2024-10-01 |
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| 27 | 202321051091-EVIDENCE FOR REGISTRATION UNDER SSI [08-10-2024(online)].pdf | 2024-10-08 |
| 28 | 202321051091-FORM 3 [21-11-2024(online)].pdf | 2024-11-21 |
| 29 | 202321051091-OTHERS [25-02-2025(online)].pdf | 2025-02-25 |
| 30 | 202321051091-FER_SER_REPLY [25-02-2025(online)].pdf | 2025-02-25 |
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| 33 | 202321051091-CLAIMS [25-02-2025(online)].pdf | 2025-02-25 |
| 34 | 202321051091-ABSTRACT [25-02-2025(online)].pdf | 2025-02-25 |
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| 1 | search_202321051091E_26-08-2024.pdf |