Abstract: Disclosed herein are a method and a device for selective band scanning in a communication network. The device identifies location based on a plurality of inputs such as but not limited to a calendar event, an audio encoded voice data, and a video encoded wearable device data. The device can be further configured to identify a final location of the device by correlating location identified based on at least one of the various inputs collected. The device then identifies at least one band in the identified final location, based on data stored in a band reference database, and then by scanning selected band (s) identified, selects at least one band to camp on. FIG. 1
CLIAMS:We claim:
1) A method for selecting at least one communication band for scanning, by a User Equipment (UE) in a communication network, said method comprising:
collecting at least one input by said UE, wherein said at least one input is a calendar event, an audio encoded voice data, an image encoded wearable device data, and a video encoded wearable device data;
identifying a final location of said UE by analyzing said at least one input, by said UE, wherein identifying said final location further comprises correlating a location identified based on said at least one input; and
identifying at least one band available in said identified final location, by said UE.
2) The method as claimed in claim 1, wherein identifying said location of said UE by analyzing said calendar event further comprises:
parsing said collected calendar event data using at least one data parsing scheme, by said UE; and
identifying, by analyzing said parsed data, at least one reference to said location, by said UE.
3) The method as claimed in claim 1, wherein identifying said location by analyzing said audio encoded voice data further comprises:
processing said collected audio encoded voice data using at least one audio processing scheme, by said UE; and
identifying at least one reference to said location in said collected audio encoded voice data, by said UE.
4) The method as claimed in claim 1, wherein identifying said location by analyzing said video encoded wearable device data further comprises:
processing said collected video encoded wearable device data using at least one video processing scheme, by said UE; and
identifying at least one reference to said location in said collected video encoded wearable device data, by said UE.
5) The method as claimed in claim 1, wherein identifying said location by analyzing said image encoded wearable device data further comprises:
processing said collected image encoded wearable device data using at least one image processing scheme, by said UE; and
identifying at least one reference to said location in said collected image encoded wearable device data, by said UE.
6) The method as claimed in claim 1, wherein identifying said at least one band in said final location further comprises:
identifying a location Identification number specific to said final location, by said UE; and
comparing said location Identification number with a reference band database, by said UE.
7) The method as claimed in claim 1, wherein said at least one input is a ad-hoc network data, wherein identifying said location of said UE based on said ad-hoc data further comprises identifying at least one reference to said location in said collected ad-hoc data, by said UE.
8) A device for selecting at least one communication band for scanning bands in a communication network, said device comprising:
a hardware processor;
a non-volatile memory comprising instructions, said instructions configured to cause said hardware processor to:
collect at least one input by a band selection module in said device, wherein said at least one input is a calendar event, an audio encoded voice data, an image encoded wearable device data, and a video encoded wearable device data;
identify a final location of said device by said band selection module, wherein identifying said final location further comprises correlating location identified based on said at least one input;
identify at least one band available in said identified final location, by said band selection module; and
scan said at least one band to identify a band to stay on, by a scanning module in said device.
9) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said location of said UE by analyzing said calendar event by:
parsing said collected calendar event data using at least one data parsing scheme, by a location identification module in said band selection module; and
identifying, by analyzing said parsed data, at least one reference to said location, by a band identification module in said band selection module.
10) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said location by analyzing said audio encoded voice data by:
processing said collected audio encoded voice data using at least one audio processing scheme, by a location identification module in said band selection module; and
identifying at least one reference to said location in said collected audio encoded voice data, by a band identification module in said band selection module.
11) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said location by analyzing said video encoded wearable device data by:
processing said collected video encoded wearable device data using at least one video processing scheme, by a location identification module in said band selection module; and
identifying at least one reference to said location in said collected video encoded wearable device data, by a band identification module in said band selection module.
12) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said location by analyzing said image encoded wearable device data by:
processing said collected video encoded wearable device data using at least one image processing scheme, by a location identification module in said band selection module; and
identifying at least one reference to said location in said collected video encoded wearable device data, by a band identification module in said band selection module.
13) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said at least one band in said final location by:
identifying a location Identification number specific to said final location, by a location identification module in said band selection module; and
comparing said location Identification number with a reference band database, by a band identification module in said band selection module.
14) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said at least one band in said location based on a ad-hoc network data, wherein identifying said location based on said ad-hoc data further comprises identifying at least one reference to said location in said collected ad-hoc data, by a band identification module in said band selection module.
Date: 19 February 2015 Signature:
Kalyan Chakravarthy
,TagSPECI:FORM 2
The Patent Act 1970
(39 of 1970)
&
The Patent Rules, 2005
COMPLETE SPECIFICATION
(SEE SECTION 10 AND RULE 13)
TITLE OF THE INVENTION
“A METHOD AND SYSTEM FOR SELECTING BANDS FOR SCANNING IN A MOBILE COMMUNICATION NETWORK”
APPLICANTS:
Name Nationality Address
SAMSUNG R&D Institute India - Bangalore Private Limited India # 2870, Orion Building, Bagmane Constellation Business Park, Outer Ring Road, Doddanekundi Circle, Marathahalli Post, Bangalore-560037, India
The following specification particularly describes and ascertains the nature of this invention and the manner in which it is to be performed:-
FIELD OF INVENTION
[001] The present invention relates to the field of mobile communication networks and more particularly to selective scanning of RF (Radio Frequency) bands in mobile communication networks.
BACKGROUND OF INVENTION
[002] Mobile network operators provide service across operating circles (which can be within a territory (such as Karnataka, Maharashtra, Mumbai and so on), within a country (India, United States of America and so on)) through roaming agreements, using a suitable communication standard such as LTE (Long Term Evolution), 3gpp, 3gpp2and so on. The roaming agreements can be across circles, with the same operator, other operators and so on. For explaining the problem scenario, consider an LTE network, wherein the operator typically use a specific set of LTE bands for operation in each circle, wherein the operator can use different bands of operation across circles. Similarly, each operator can use different bands across circles.
[003] Due to a User Equipment (UE) having to be capable of operating on a plurality of bands as required by the operator and the roaming agreements, the UE can be required to scan the plurality of bands (wherein the plurality of bands can be as the UE is capable of and/or can be all the bands as required by the operator and the roaming agreements) before the UE can lock onto an operating band. As per current 3gpp specification, there are 26 applicable bands in FDD and 12 applicable bands in TDD for LTE. Currently in Asia, 13 LTE bands are deployed approximately; In the USA, 9 LTE bands are deployed and in the EU, 7 LTE bands are deployed. Such a large number of probable bands can result in the UE having to camp onto the operating band which offers service, after a considerable delay caused by the scanning of the plurality of bands.
[004] Consider an example where a UE is camped on an operating band in a first circle (in USA) of a first network operator. A user of the UE powers off the UE during his travel and powers on the UE, on reaching his destination in South Korea. On the UE being powered on, the UE scans the bands of LTE for the USA. Consider that there are 4 bands and a UE typically takes 4 seconds to scan a band, the UE will take 16 seconds to scan the bands of LTE for the first network operator of USA. On not finding any bands of LTE for the first network operator of USA, the UE scans the LTE bands for domestic partners of the first network operator. Consider that there are 5 bands, the UE will take 20 seconds to scan the bands of the domestic partners. On not finding any bands of the domestic partners, the UE scans for bands of international roaming partners of the network operator. Consider that there are 14 bands to be scanned, the UE will take 56 seconds to scan all the bands of the international roaming partners. This can result in the UE taking more than 90 seconds (16 seconds + 20 bands + 56 bands) to camp onto an operating band.
[005] Current solutions disclose methods which optimizes scanning for bands by using a plurality of methods (such as a positioning signal (such as GPS (Global Positioning System)), prior scanning history of the UE, an available Wi-Fi signal and so on) to identify the bands to be scanned, hereby reducing the time required for camping onto a band. However, this requires availability of data as well as suitable signals for the purpose of positioning, which may not be available all the time. For example, the UE may not have access to GPS or internet connection in all geographical locations.
OBJECT OF INVENTION
[006] The principal object of the embodiments herein is to identify final location of a User Equipment (UE), in a mobile communication network, identifying and selecting all bands in the final location, and scanning only the selected band(s) to identify a band to camp on
SUMMARY
[007] Accordingly the invention provides a method for selecting at least one communication band for scanning. In this method, a User Equipment (UE) collects at least one input, wherein the at least one input is a calendar event, an audio encoded voice data, an image encoded wearable device data, and a video encoded wearable device data. The UE further identifies a final location of the UE by analyzing the at least one input, wherein identifying the final location further comprises correlating a location identified based on the at least one input. After identifying the final location, the UE identifies at least one band available in the identified final location.
[008] Accordingly the invention provides a device for selecting at least one communication band for scanning bands in a communication network. The device comprising a hardware processor and a non-volatile memory comprising instructions. The instructions are configured to cause the hardware processor to collect at least one input by a band selection module in the device, wherein the at least one input is a calendar event, an audio encoded voice data, an image encoded wearable device data, and a video encoded wearable device data. The band selection module further identifies a final location of the device, wherein identifying the final location further comprises correlating location identified based on the at least one input. The band selection module further identifies at least one band available in the identified final location. The device further scans the at least one band to identify a band to stay on, by a scanning module in the device.
[009] These and other aspects of the embodiments herein will be better appreciated and understood when considered in conjunction with the following description and the accompanying drawings. It should be understood, however, that the following descriptions, while indicating preferred embodiments and numerous specific details thereof, are given by way of illustration and not of limitation. Many changes and modifications may be made within the scope of the embodiments herein without departing from the spirit thereof, and the embodiments herein include all such modifications.
BRIEF DESCRIPTION OF FIGURES
[0010] This invention is illustrated in the accompanying drawings, throughout which like reference letters indicate corresponding parts in the various figures. The embodiments herein will be better understood from the following description with reference to the drawings, in which:
[0011] FIG. 1 illustrates a block diagram of selective band scanning network, according to embodiments as disclosed herein;
[0012] FIG. 2 illustrates a block diagram which shows components of band selection module, according to embodiments as disclosed herein; and
[0013] FIG. 3 is a flow diagram depicting various steps involved in the process of selective band scanning using the selective scanning network, according to embodiments as disclosed herein.
DETAILED DESCRIPTION OF INVENTION
[0014] The embodiments herein and the various features and advantageous details thereof are explained more fully with reference to the non-limiting embodiments that are illustrated in the accompanying drawings and detailed in the following description. Descriptions of well-known components and processing techniques are omitted so as to not unnecessarily obscure the embodiments herein. The examples used herein are intended merely to facilitate an understanding of ways in which the embodiments herein can be practiced and to further enable those of skill in the art to practice the embodiments herein. Accordingly, the examples should not be construed as limiting the scope of the embodiments herein.
[0015] The embodiments herein achieve identification of at least one band for the purpose of selective scanning of bands, in a mobile communication network. Referring now to the drawings, and more particularly to FIGS. 1 through 3, where similar reference characters denote corresponding features consistently throughout the figures, there are shown preferred embodiments.
[0016] FIG. 1 illustrates a block diagram of selective band scanning network, according to embodiments as disclosed herein. The selective band scanning network 100 comprises of at least one User Equipment (UE) 101, and at least one mobile network 104. The UE 101 further comprises of a band selection module 102, and a scanning module 103. The band selection module 102 can be configured to communicate with at least one of a plurality of input collection means such as but not limited to an internal calendar, a voice command module, at least one ad-hoc network, and at least one wearable device. Examples of wearable devices are smart glass, smart watch and so on.
[0017] The band selection module 102 can be further configured to identify, by processing at least one, or a selected combination of the collected inputs, location of the UE 101. The band selection module 102 can be further configured to identify a final location of the UE 101, by correlating location identified by processing different inputs collected. The band selection module 102 can be further configured to identify, based on data stored in a reference database, bands in the identified final location of the UE 101. The band selection module 102 can be further configured to communicate details of the identified bands to the scanning module 103. The scanning module 103 scans only the selected bands to identify at least one band to camp on and receive desired service(s).
[0018] FIG. 2 illustrates a block diagram which shows components of band selection module, according to embodiments as disclosed herein. The band selection module 102 comprises of an Input/Output (I/O) interface 201, a location identification module 202, a memory module 203, and a band identification module 204.
[0019] The I/O interface 201 can be configured to communicate, using at least one suitable communication channel and at least one suitable communication protocol, with at least one of a plurality of input means to collect at least one input required to identify location of the UE 101. For example, the input collection means can be at least one of an internal calendar, a voice command module, at least one ad-hoc network, and at least one wearable device. The I/O interface 201 can be further configured to feed the collected inputs as input to the location identification module 202.
[0020] The location identification module 202 can be configured to process the collected inputs and identify a location of the UE 101. In a preferred embodiment, the location identification module 202 can be configured to select at least one or a suitable combination of inputs, and process the selected input(s) and identify location of the UE 101. For example, consider that the location identification module 202 collected a calendar event and audio encoded voice data as inputs. If quality of the voice data is less than a certain limit, processing the voice data may not provide an expected result (i.e. detection of reference to a particular location). In that case, the location identification module 202 can omit the voice data and consider only the calendar event data for the purpose of identifying the location. In an embodiment, the location identification module 202 can automatically detect quality of input based on certain set threshold values, and opt to use or omit the input. In another embodiment, the location identification module 202 can demand user intervention while choosing right input (s) for detecting location of the UE 101.
[0021] The location identification module 202 can be further configured to identify a final location of the UE 101 by correlating location data identified by processing selected inputs. The location identification module 202 can be further configured to fetch a location identification number (location Id) unique to the identified final location, from a location database maintained in the memory module 203, and feed the location Id as input to the band identification module 204.
[0022] The band identification module 204 can be configured to identify, by comparing the location Id with a reference band database stored in the memory module 203, all bands that are available in the identified final location. The band identification module 204 can be further configured to collect and provide details of the identified bands to the scanning module 103, by using the I/O interface 201.
[0023] FIG. 3 is a flow diagram depicting various steps involved in the process of selective band scanning using the selective band scanning network, according to embodiments as disclosed herein. The band selection module 102 in the UE 101 initially collects (302) at least one of a plurality of inputs such as but not limited to calendar events, audio encoded voice commands, and video/image encoded wearable device data.
[0024] By processing each of the collected inputs, the band selection module 102 identifies location of the UE 101. The band selection module 102 correlates location identified by processing of the collected inputs, and identifies (304) a final location of the UE 101. The band selection module 102 maintains a location database which possesses data pertaining to unique Id value corresponding to different geographical locations, where service is being provided by the network. By comparing the final location with the location database, the band selection module 102 fetches unique Id specific to that location (i.e. location Id), and sends the location Id to the band identification module 204.
[0025] The band identification module 204 identifies and selects (306) all bands in the final location of the UE 101. In a preferred embodiment, the band identification module 204 identifies the bands by comparing the location Id with a band reference database stored in the memory module 203, wherein the band reference database comprises information about bands available in different locations, preferably in the form of bands mapped against corresponding location Id.
[0026] Further, the band identification module 204 sends information about the selected bands to the scanning module 103. The scanning module 103 further scans (308) the selected bands and identifies a band to camp on. The various actions in method 300 may be performed in the order presented, in a different order or simultaneously. Further, in some embodiments, some actions listed in FIG. 3 may be omitted.
[0027] The embodiments disclosed herein can be implemented through at least one software program running on at least one hardware device and performing network management functions to control the elements. The elements shown in Fig. 1 can be at least one of a hardware device, or a combination of hardware device and software module.
[0028] The foregoing description of the specific embodiments will so fully reveal the general nature of the embodiments herein that others can, by applying current knowledge, readily modify and/or adapt for various applications such specific embodiments without departing from the generic concept, and, therefore, such adaptations and modifications should and are intended to be comprehended within the meaning and range of equivalents of the disclosed embodiments. It is to be understood that the phraseology or terminology employed herein is for the purpose of description and not of limitation. Therefore, while the embodiments herein have been described in terms of preferred embodiments, those skilled in the art will recognize that the embodiments herein can be practiced with modification within the spirit and scope of the embodiments as described herein.
STATEMENT OF CLAIMS
We claim:
1) A method for selecting at least one communication band for scanning, by a User Equipment (UE) in a communication network, said method comprising:
collecting at least one input by said UE, wherein said at least one input is a calendar event, an audio encoded voice data, an image encoded wearable device data, and a video encoded wearable device data;
identifying a final location of said UE by analyzing said at least one input, by said UE, wherein identifying said final location further comprises correlating a location identified based on said at least one input; and
identifying at least one band available in said identified final location, by said UE.
2) The method as claimed in claim 1, wherein identifying said location of said UE by analyzing said calendar event further comprises:
parsing said collected calendar event data using at least one data parsing scheme, by said UE; and
identifying, by analyzing said parsed data, at least one reference to said location, by said UE.
3) The method as claimed in claim 1, wherein identifying said location by analyzing said audio encoded voice data further comprises:
processing said collected audio encoded voice data using at least one audio processing scheme, by said UE; and
identifying at least one reference to said location in said collected audio encoded voice data, by said UE.
4) The method as claimed in claim 1, wherein identifying said location by analyzing said video encoded wearable device data further comprises:
processing said collected video encoded wearable device data using at least one video processing scheme, by said UE; and
identifying at least one reference to said location in said collected video encoded wearable device data, by said UE.
5) The method as claimed in claim 1, wherein identifying said location by analyzing said image encoded wearable device data further comprises:
processing said collected image encoded wearable device data using at least one image processing scheme, by said UE; and
identifying at least one reference to said location in said collected image encoded wearable device data, by said UE.
6) The method as claimed in claim 1, wherein identifying said at least one band in said final location further comprises:
identifying a location Identification number specific to said final location, by said UE; and
comparing said location Identification number with a reference band database, by said UE.
7) The method as claimed in claim 1, wherein said at least one input is a ad-hoc network data, wherein identifying said location of said UE based on said ad-hoc data further comprises identifying at least one reference to said location in said collected ad-hoc data, by said UE.
8) A device for selecting at least one communication band for scanning bands in a communication network, said device comprising:
a hardware processor;
a non-volatile memory comprising instructions, said instructions configured to cause said hardware processor to:
collect at least one input by a band selection module in said device, wherein said at least one input is a calendar event, an audio encoded voice data, an image encoded wearable device data, and a video encoded wearable device data;
identify a final location of said device by said band selection module, wherein identifying said final location further comprises correlating location identified based on said at least one input;
identify at least one band available in said identified final location, by said band selection module; and
scan said at least one band to identify a band to stay on, by a scanning module in said device.
9) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said location of said UE by analyzing said calendar event by:
parsing said collected calendar event data using at least one data parsing scheme, by a location identification module in said band selection module; and
identifying, by analyzing said parsed data, at least one reference to said location, by a band identification module in said band selection module.
10) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said location by analyzing said audio encoded voice data by:
processing said collected audio encoded voice data using at least one audio processing scheme, by a location identification module in said band selection module; and
identifying at least one reference to said location in said collected audio encoded voice data, by a band identification module in said band selection module.
11) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said location by analyzing said video encoded wearable device data by:
processing said collected video encoded wearable device data using at least one video processing scheme, by a location identification module in said band selection module; and
identifying at least one reference to said location in said collected video encoded wearable device data, by a band identification module in said band selection module.
12) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said location by analyzing said image encoded wearable device data by:
processing said collected video encoded wearable device data using at least one image processing scheme, by a location identification module in said band selection module; and
identifying at least one reference to said location in said collected video encoded wearable device data, by a band identification module in said band selection module.
13) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said at least one band in said final location by:
identifying a location Identification number specific to said final location, by a location identification module in said band selection module; and
comparing said location Identification number with a reference band database, by a band identification module in said band selection module.
14) The device as claimed in claim 8, wherein said band selection module is further configured for identifying said at least one band in said location based on a ad-hoc network data, wherein identifying said location based on said ad-hoc data further comprises identifying at least one reference to said location in said collected ad-hoc data, by a band identification module in said band selection module.
Date: 19 February 2015 Signature:
Kalyan Chakravarthy
ABSTRACT
Disclosed herein are a method and a device for selective band scanning in a communication network. The device identifies location based on a plurality of inputs such as but not limited to a calendar event, an audio encoded voice data, and a video encoded wearable device data. The device can be further configured to identify a final location of the device by correlating location identified based on at least one of the various inputs collected. The device then identifies at least one band in the identified final location, based on data stored in a band reference database, and then by scanning selected band (s) identified, selects at least one band to camp on.
FIG. 1
| Section | Controller | Decision Date |
|---|---|---|
| # | Name | Date |
|---|---|---|
| 1 | 804-CHE-2015-FORM-27 [30-09-2024(online)].pdf | 2024-09-30 |
| 1 | Form_2 CS.pdf ONLINE | 2015-02-20 |
| 2 | 804-CHE-2015-IntimationOfGrant20-02-2023.pdf | 2023-02-20 |
| 2 | Form5.pdf ONLINE | 2015-02-20 |
| 3 | FORM3.pdf ONLINE | 2015-02-20 |
| 3 | 804-CHE-2015-PatentCertificate20-02-2023.pdf | 2023-02-20 |
| 4 | Drawings_CS.pdf ONLINE | 2015-02-20 |
| 4 | 804-CHE-2015-Annexure [28-12-2022(online)].pdf | 2022-12-28 |
| 5 | Form_2 CS.pdf | 2015-03-13 |
| 5 | 804-CHE-2015-Written submissions and relevant documents [28-12-2022(online)].pdf | 2022-12-28 |
| 6 | Form5.pdf | 2015-03-13 |
| 6 | 804-CHE-2015-Annexure [28-11-2022(online)].pdf | 2022-11-28 |
| 7 | FORM3.pdf | 2015-03-13 |
| 7 | 804-CHE-2015-Correspondence to notify the Controller [28-11-2022(online)].pdf | 2022-11-28 |
| 8 | Drawings_CS.pdf | 2015-03-13 |
| 8 | 804-CHE-2015-FORM-26 [28-11-2022(online)].pdf | 2022-11-28 |
| 9 | 804-CHE-2015-US(14)-HearingNotice-(HearingDate-15-12-2022).pdf | 2022-11-09 |
| 9 | abstract 804-CHE-2015.jpg | 2015-08-28 |
| 10 | 804-CHE-2015-CLAIMS [09-06-2020(online)].pdf | 2020-06-09 |
| 10 | 804-CHE-2015-FORM-26 [15-03-2018(online)].pdf | 2018-03-15 |
| 11 | 804-CHE-2015-CORRESPONDENCE [09-06-2020(online)].pdf | 2020-06-09 |
| 11 | 804-CHE-2015-FORM-26 [16-03-2018(online)].pdf | 2018-03-16 |
| 12 | 804-CHE-2015-FER.pdf | 2019-12-09 |
| 12 | 804-CHE-2015-FER_SER_REPLY [09-06-2020(online)].pdf | 2020-06-09 |
| 13 | 804-CHE-2015-OTHERS [09-06-2020(online)].pdf | 2020-06-09 |
| 13 | 804-CHE-2015-RELEVANT DOCUMENTS [09-06-2020(online)].pdf | 2020-06-09 |
| 14 | 804-CHE-2015-PETITION UNDER RULE 137 [09-06-2020(online)].pdf | 2020-06-09 |
| 15 | 804-CHE-2015-OTHERS [09-06-2020(online)].pdf | 2020-06-09 |
| 15 | 804-CHE-2015-RELEVANT DOCUMENTS [09-06-2020(online)].pdf | 2020-06-09 |
| 16 | 804-CHE-2015-FER.pdf | 2019-12-09 |
| 16 | 804-CHE-2015-FER_SER_REPLY [09-06-2020(online)].pdf | 2020-06-09 |
| 17 | 804-CHE-2015-FORM-26 [16-03-2018(online)].pdf | 2018-03-16 |
| 17 | 804-CHE-2015-CORRESPONDENCE [09-06-2020(online)].pdf | 2020-06-09 |
| 18 | 804-CHE-2015-FORM-26 [15-03-2018(online)].pdf | 2018-03-15 |
| 18 | 804-CHE-2015-CLAIMS [09-06-2020(online)].pdf | 2020-06-09 |
| 19 | 804-CHE-2015-US(14)-HearingNotice-(HearingDate-15-12-2022).pdf | 2022-11-09 |
| 19 | abstract 804-CHE-2015.jpg | 2015-08-28 |
| 20 | 804-CHE-2015-FORM-26 [28-11-2022(online)].pdf | 2022-11-28 |
| 20 | Drawings_CS.pdf | 2015-03-13 |
| 21 | 804-CHE-2015-Correspondence to notify the Controller [28-11-2022(online)].pdf | 2022-11-28 |
| 21 | FORM3.pdf | 2015-03-13 |
| 22 | 804-CHE-2015-Annexure [28-11-2022(online)].pdf | 2022-11-28 |
| 22 | Form5.pdf | 2015-03-13 |
| 23 | 804-CHE-2015-Written submissions and relevant documents [28-12-2022(online)].pdf | 2022-12-28 |
| 23 | Form_2 CS.pdf | 2015-03-13 |
| 24 | 804-CHE-2015-Annexure [28-12-2022(online)].pdf | 2022-12-28 |
| 24 | Drawings_CS.pdf ONLINE | 2015-02-20 |
| 25 | FORM3.pdf ONLINE | 2015-02-20 |
| 25 | 804-CHE-2015-PatentCertificate20-02-2023.pdf | 2023-02-20 |
| 26 | Form5.pdf ONLINE | 2015-02-20 |
| 26 | 804-CHE-2015-IntimationOfGrant20-02-2023.pdf | 2023-02-20 |
| 27 | Form_2 CS.pdf ONLINE | 2015-02-20 |
| 27 | 804-CHE-2015-FORM-27 [30-09-2024(online)].pdf | 2024-09-30 |
| 1 | SS22804CHE2015_04-12-2019.pdf |