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1. 发明专利

AU2020101619A4 LOW ENERGY COMMUNICATOR BETWEEN EXTERNAL PROGRAMMER AND IMPLANTABLE MEDICAL DEVICES USING BLE TECHNOLOGY 未知
公开(公告)号：AU2020101619A4
公开(公告)日：2020-09-10
申请号：AU2020101619
申请日：2020-08-03
申请人： AHMED MOHAMMED AZAHAR MR , GARG LALIT DR , GUPTA RAHUL DEV DR , KALRA GOURAV MR , N S SURESH DR , PATAN MUZEEB KHAN MR , REDDY JONNALA SUBBA MR , T ANIL KUMAR DR , V RAMAKRISHNA DR , KUNA PRASHANT MR
发明人： GARG LALIT , V RAMAKRISHNA , T ANIL KUMAR , KALRA GOURAV , GUPTA RAHUL DEV , KUNA PRASHANT , PATAN MUZEEB KHAN , AHMED MOHAMMED AZAHAR , N S SURESH , REDDY JONNALA SUBBA
IPC分类号： A61B5/00 , H04L29/06 , H04W4/00 , H04W88/00
摘要： LOW ENERGY COMMUNICATOR BETWEEN EXTERNAL PROGRAMMER AND IMPLANTABLE MEDICAL DEVICES USING BLE TECHNOLOGY Healthcare technology is an integral part of the diagnosis and the treatment, as there is a rapid growth in the medical devices and the sensors. Online telemedical services to individuals are very much useful due to possible flexibility and effective healthcare services. This type of service is developed because of the advanced technologies in wearable sensors and wireless communication. The medical costs get reduced due to the electronic wireless sensor and has capability of enabling the physicians to monitor the signs like blood pressure, the glucose level in the blood, and blood oxygenation of the patient while they remain at home. Implantable medical devices (IMDs) are used to monitor the patient's condition continuously. In case, if any of the emergencies is necessary, the treatment can be applied to the patient. IMDs will be useful only for the patients who visit the hospitals regularly. The Bluetooth low energy is used to link the wireless sensors through the radio signals of the mobile phones and computers, which will be fitted for the next generation of Bluetooth wireless technology. Bluetooth Low Energy is used as the communication method in the medical devices and the sensors. The BLE offers power efficiency, and the transmission data rate is moderate. 1 P a g e LOW ENERGY COMMUNICATOR BETWEEN EXTERNAL PROGRAMMER AND IMPLANTABLE MEDICAL DEVICES USING BLE TECHNOLOGY Diagram User Human Heart Rate Acquisition Module Sensor Bluetooth Low Energy Android Handh eld Device iiiI Web Server Doctor and Clinic Figure 1: Block diagram of Low Energy Communication between the IMD and External Programmer using BLE 1| P a g e

2. 发明专利

AU2020101613A4 COLLABORATIVE FEDERATIVE LEARNING APPROACH FOR INTERNET OF VEHICLES TRAFFIC PREDICTION 未知
公开(公告)号：AU2020101613A4
公开(公告)日：2020-09-10
申请号：AU2020101613
申请日：2020-08-02
申请人： B P R V S PRIYATHAM MR , CHAITANYA DUMPA VENKATA SAI RAMA KRISHNA MR , GARG LALIT DR , JAWAHAR MAMIDALA MR , K PERUMALRAJ MR , K SATYA NARAYANA DR , KALRA GOURAV MR , M SELVARAJ DR , PRAKASHA KRISHNA DR , SATYANARAYANA BOLLU DR
发明人： M SELVARAJ , GARG LALIT , KALRA GOURAV , K SATYA NARAYANA , K PERUMALRAJ , CHAITANYA DUMPA VENKATA SAI RAMA KRISHNA , B P R V S PRIYATHAM , SATYANARAYANA BOLLU , PRAKASHA KRISHNA , JAWAHAR MAMIDALA
IPC分类号： G16Y40/10 , G08G1/01 , G16Y40/20 , H04W4/02
摘要： COLLABORATIVE FEDERATIVE LEARNING APPROACH FOR INTERNET OF VEHICLES TRAFFIC PREDICTION This invention is to deploy a collaborative federative learning approach for the internet of vehicle traffic prediction. Though there were many traditional and some intelligent technical approaches were deployed in traffic prediction, the concern about privacy and security, where the client is uncomfortable in sharing the information globally, creates the need to deploy a collaborative federative learning approach. In this application, the internet of drones is deployed to gather information regarding the vehicle location, which is configured with the internet of vehicle technology. Continuous image capturing in the area of traffic congestion is monitored. In this method, the training set is modeled in local devices itself. A deferred acceptance algorithm is deployed between local devices to model parameters and its associated device. The desired information or the model parameters alone is then sent to the cloud through the gateway. This is one of the easiest, fast computing methods to enable the prediction of traffic congestion with privacy and less storage consumption. 1| P a g e COLLABORATIVE FEDERATIVE LEARNING APPROACH FOR INTERNET OF VEHICLES TRAFFIC PREDICTION Drawings Collaborative Federative Learning with Matching technique Fig. 1 Collaborative Federative Learning with matching technique with associated drones. 1 P a g e

3. 发明专利

AU2020101611A4 4- LAYERED IOT ARCHITECTURE FOR HYPERLEDGER-FABRIC BLOCKCHAIN BASED SELF-MANAGED VEHICLE AD-HOC NETWORKS (VANET) 未知
公开(公告)号：AU2020101611A4
公开(公告)日：2020-09-10
申请号：AU2020101611
申请日：2020-08-02
申请人： AHIRWAR GAJENDRA KUMAR MR , B MAHENDRA KUMAR MR , GARG LALIT DR , M S BENNET PRABA MS , MAMIDI BALA SAI CHARAN MR , PONNUSAMY SIVARAM DR , RAVALEEDHAR MURTHY MR , SHUNMUGAM ANANDARAJ MR , SURAGALA ASHOK MR , VENKATA MANJULA DEVARAKONDA MISS
发明人： SURAGALA ASHOK , MAMIDI BALA SAI CHARAN , GARG LALIT , SHUNMUGAM ANANDARAJ , B MAHENDRA KUMAR , AHIRWAR GAJENDRA KUMAR , VENKATA MANJULA DEVARAKONDA , RAVALEEDHAR MURTHY , PONNUSAMY SIVARAM , M S BENNET PRABA
IPC分类号： H04L9/00 , G06F3/048 , G06F3/0482 , G08G1/01 , H04W4/46
摘要： 4- LAYERED IOT ARCHITECTURE FOR HYPERLEDGER FABRIC BLOCKCHAIN BASED SELF-MANAGED VEHICLE AD HOC NETWORKS (VANET) The innovative motor vehicles are assured for linking with remote networks and vehicle-to-everything (V2X) ad-hoc networking techniques become emerging, the importance for safe interaction seems evident. Therefore, it becomes a quite realistic prospect which today's automobiles will be susceptible to cybersecurity threats that strike automobile interactions. The IoT systems are responsible of detecting the atmosphere and facilitate to exchange the knowledge towards the next stage. The Internet of Things applications are Smart Building, intelligent Transport, Telemedicine, Farming and controlling and tracking field. A huge amount of information is exchanged or transmitted between various devices for the above application domains. However, there are numerous vulnerability and confidentiality issues in the information exchange network between devices, such as data disclosure, data manipulation, and user identification. This proposal approaches the innovative security mechanism called Hyperledger fabric block chain technology to resolve the security issues in self-managed VANET. The IoT based security mechanism enhances the computational efficiency and minimizes the security and privacy issues. 1| P a g e Application layer Internet HYPERLEDGER FABRIC Blockchain layer Network layer physical layer Figure 2: HYPERLEDGER FABRIC Blockchain based self-managed 21Page

4. 发明专利

AU2020101681A4 CENTRALIZED CLOUD LAUNDRY LOGISTIC MANAGEMENT SYSTEM USING IOT ENABLED LAUNDRY TERMINALS IN RESIDENTIAL LOCATIONS 未知
公开(公告)号：AU2020101681A4
公开(公告)日：2020-09-10
申请号：AU2020101681
申请日：2020-08-05
申请人： C S ANITA DR , DAVID SHIELA MRS , G GOKULKUMARI DR , GARG LALIT DR , M CHINNADURAI DR , M LAKSHMI PRASAD DR , R VARALAKSHMI DR , R CHHAJED RACHNA MS , RAVALEEDHAR MURTHY MR , S MEIVEL MR
发明人： M CHINNADURAI , GARG LALIT , R VARALAKSHMI , G GOKULKUMARI , M LAKSHMI PRASAD , R CHHAJED RACHNA , RAVALEEDHAR MURTHY , S MEIVEL , C S ANITA , DAVID SHIELA
IPC分类号： G06Q10/08 , G06N20/00
摘要： CENTRALIZED CLOUD LAUNDRY LOGISTIC MANAGEMENT SYSTEM USING IOT ENABLED LAUNDRY TERMINALS IN RESIDENTIAL LOCATIONS A centralized cloud-deployed to laundry logistic management system to handle massive data by using IoT is connecting the laundry terminals in residential locations. The terminals receive the orders from the residence, and through the gateway, it is sent to the centralized cloud. The big data is analyzed for logistics management, whereby using a dynamic algorithm, the shortest path for transportation is identified that takes minimum time and less cost. The currently received data mapped with the previous record. By deploying the machine learning algorithm, the workload or the mode of operation is also identified to obtain good quality. Once the laundry workload process completed, it is packed and delivered back to the residence by deploying updated real time delivery routing in logistics. IoT monitors the complete process from receiving the order, transporting the laundry to laundry service center, packing, and delivery back to the residence enabled smart devices like computer or mobile phone by the supervisor. It is completely automated to avoid errors and to get the information about the duration to complete the entire process maintaining privacy. 1 P a g e

5. 发明专利

AU2020101171A4 Moving Multi Object Detection Localization in Vision Enabled Wireless Sensor Networks 未知
公开(公告)号：AU2020101171A4
公开(公告)日：2020-07-30
申请号：AU2020101171
申请日：2020-06-27
申请人： ABIDIN SHAFIQUL DR , D JAYASHREE DR , GARG GAURAV DR , GARG LALIT DR , IZHAR MOHD DR , M VENKATA NARESH MR , O PANDITHURAI DR , S K RAJESH KANNA DR , TALLAPRAGADA V V SATYANARAYANA DR , VADI VIKAS RAO DR
发明人： TALLAPRAGADA V V SATYANARAYANA , M VENKATA NARESH , GARG LALIT , GARG GAURAV , VADI VIKAS RAO , ABIDIN SHAFIQUL , IZHAR MOHD , D JAYASHREE , S K RAJESH KANNA , O PANDITHURAI
IPC分类号： G01C11/02 , H04W84/18
摘要： Moving Multi Object Detection Localization in Vision Enabled Wireless Sensor Networks Abstract We present novel localization strategies for wireless image sensor networks. Based on visual perceptions between the picture sensor hubs or concurrent perceptions of a moving question by a few hubs, the proposed plans utilize straightforward picture handling capacities to get precise bearing data between the hubs in a neighborhood and illuminate for the hub positions. We are going, beginning with proposing a method to localize hubs relative to a facilitate framework characterized by two reference hubs and engender the topology data all through the arrange. In a distinctive plot, we consider cases, where synchronous perceptions from a moving target are utilized by a few picture sensors to mutually assess the facilitates of the hubs as well as those of the goal. We'll propose a method in which the presumption of a straightforward movement design for the target allows for a collaborative plot for finding relevant area data between the hubs. In a fourth conspire, help from a moving beacon knowing its area data is utilized to localize a arrange of picture sensors. The proposed calculations are based on in-node preparing, and neighborhood collaboration between the hubs and subsequently are versatile to large systems. The proficient information combination strategies for localization and following with WSN comprising hubs invested with low-cost cameras as fundamental sensors. The approach embraced may be an in part decentralized plot where the pictures captured by each camera hub are handled locally utilizing division calculations in arrange to extricate the area of the question of intrigued on the picture plane. As it were low-bandwidth, information is transmitted through arranging for information combination. ML carries out data fusion utilizing as it were the data contained within the measurements. It has excellent execution when the level of 11 P a g e commotion within the estimations is moo but debases with boisterous estimates and especially with needs of evaluations, for occurrence in cases of misfortunes of WSN messages. 2|Page Normal image Translation rear Z left roll Pitch Is L i 01 Yaw and Pitch 17 1 yaw Normal image Rotation Camera Roll pitch roll ya right front Fig .2. Movement modeling Diagram. - F rame W- F Dae Image stabilization MotionVector Classification DenseOpticalFlow Foreground and background classification Fig 3. System overview of the real-time moving object detection and recognition 2|Page

6. 发明专利

AU2020101637A4 A METHOD OF DESIGNING ADVERTISEMENT BOARDS USING CONDUCTIVE 3D PRINTABLE ELECTRONIC SENSORS 未知
公开(公告)号：AU2020101637A4
公开(公告)日：2020-09-10
申请号：AU2020101637
申请日：2020-08-04
申请人： D HARIPRIYA MS , GARG LALIT DR , J MURALIDHARAN DR , KRISHNASWAMY NARAYAN DR , MIDASAL VASUJADEVI MR , OBANNAVAR MAHESH MR , PILLALA PRAVEENA MS , S NAGAKISHORE BHAVANAM DR , V R LENIN MR , V NAGARAJ DR
发明人： GARG LALIT , KRISHNASWAMY NARAYAN , S NAGAKISHORE BHAVANAM , MIDASAL VASUJADEVI , J MURALIDHARAN , V R LENIN , D HARIPRIYA , PILLALA PRAVEENA , V NAGARAJ , OBANNAVAR MAHESH
IPC分类号： B33Y50/02 , G05B19/4099 , H05K1/02
摘要： A METHOD OF DESIGNING ADVERTISEMENT BOARDS USING CONDUCTIVE 3D PRINTABLE ELECTRONIC SENSORS Printed hardware at present holds a critical offer in the gadgets manufacture advertise because of points of interest in high-throughput creation and adaptability regarding material help and framework process. The printing of follows and interconnects, latent and dynamic segments, for example, resistors, capacitors, inductors, and application-explicit electronic gadgets, have been a developing focal point of examination in the zone of added substance fabricating. Adjustment of new 3D-printing advances and producing strategies, explicitly for printed hardware, are possibly ground-breaking in adaptable gadgets, remote interchanges, effective batteries, substantial state show advances, and so on. Building the substrate, printing the conductive tracks, pick-and-setting or inserting the electronic parts, and interconnecting them, are major manufacture conventions new 3D-printing frameworks ought to embrace for an increasingly incorporated creation. Besides, creators and makers of such frameworks will play a significant job in scaling 3D-printed hardware from prototyping to high-throughput large scale manufacturing. This invention gives a foundation for such understanding, characterizing strategies and conventions, surveying different 3D-printing techniques, and portraying the state of-the-workmanship in 3D-printed hardware and their future development. 11 P a g e A METHOD OF DESIGNING ADVERTISEMENT BOARDS USING CONDUCTIVE 3D PRINTABLE ELECTRONIC SENSORS Diagram PmduPredt Suppoorw strueT d, oo ljud Rem brkaOV .@ia onnea Patbrm -an ---- ~ ~~ Rdf malril "s aw'snjngp Curedproduc rp WeWl" P n lFgmPwe~ llw of FIG 1: 3D PRINTING TECHNOLOGIES 1 |P a g e

7. 发明专利

AU2020102965A4 AN INTEGRATED SECURE COVIDE-19 CONTACT TRACING FRAMEWORK USING IOT PLATFORM WITH BLOCKCHAIN 未知
公开(公告)号：AU2020102965A4
公开(公告)日：2020-12-24
申请号：AU2020102965
申请日：2020-10-22
申请人： CHAKRABORTY CHINMAY DR , CHUKWU EMEKA MR , GARG GAURAV DR , GARG LALIT DR , NASSER NIDAL DR
发明人： GARG LALIT , CHUKWU EMEKA , NASSER NIDAL , CHAKRABORTY CHINMAY , GARG GAURAV
IPC分类号： G16H50/80 , G06F12/14 , G06F21/31 , G06F21/62 , G06Q50/26 , G16H10/60
摘要： AN INTEGRATED SECURE COVIDE-19 CONTACT TRACING FRAMEWORK USING IOT PLATFORM WITH BLOCKCHAIN Abstract The contact tracing process is inevitable approach which obverse required in the pandemic situation (COVID-19) to protect our human mankind. Unfortunately, health care centre from all over the world do not have unique feature and pattern to trace out the identify of infection carrying person. Nowadays, online digital marketing enters into all commercial business trades includes Gasari Bazaar, Education, Telemedicine, etc where it requires new model for data aggregation and sharing present to continue business transaction, thus, retain economic standard of the society. For smooth functioning of above-mentioned sectors, health care department should provide essential information about isolation zone, affected person area and continuous updating of infection count. Therefore, it is required the effective and user-friendly model of contact tracing approach which accompany patient privacy and health information security. Thereby, an integrated secure covide 19 contact tracing framework using IoT platform with blockchain technology is implemented to provide secured storage of patient's information and minimize the cost of scaling to existing contact tracing strategies. This model measures moving infection person count and protect the test result of voluntarily participation. RFID transceiver (proof-of-concept) involves tracking the moving test samples and record of test samples stored on the blockchain to safeguard the patient privacy until required. It can also identify asymptomatic patient and super spreaders. It gives the real time data monitoring of patients after sample collected or even patient in motion which maximizes the indoor users comfort. Furthermore, the proposed model can be extended into public usage to overcome COVID-19 situation and be prepared for future pandemic. 11 P a g e AN INTEGRATED SECURE COVIDE-19 CONTACT TRACING FRAMEWORK USING IOT PLATFORM WITH BLOCKCHAIN Diagram Distributed Appications External System Distributed Ledgar Technology #------S----------------- I--------------- I------------- Off-ine storage Blockchain smart contact RFID reader Registration rAuthorization Client server and Peer peer Encrypted Info. Updated Operating system: CCovid-19 Status Android, OS CCTV/Drones Notification Fig.1 Architecture of proposed system model 1 P a g e

8. 发明专利

AU2020102347A4 KITCHEN GENIE: AN INTELLIGENT INTERNET OF THINGS SYSTEM FOR HOUSEHOLD INVENTORY MANAGEMENT 未知
公开(公告)号：AU2020102347A4
公开(公告)日：2020-10-29
申请号：AU2020102347
申请日：2020-09-20
申请人： GARG GAURAV DR , GARG LALIT DR , JAMAL ARSHI DR , K RAMESH DR , PORTELLI ELAINE MS
发明人： GARG LALIT , K RAMESH , GARG GAURAV , PORTELLI ELAINE , JAMAL ARSHI
IPC分类号： G06Q10/08 , G06K19/06
摘要： KITCHEN GENIE: AN INTELLIGENT INTERNET OF THINGS SYSTEM FOR HOUSEHOLD INVENTORY MANAGEMENT The research is about the household inventory management system, especially about the kitchen. The goods and products are a necessity and an essential need for the people. Now-a- days, in most of the families, both the parents are working. When they return home, they will not have enough time to do all household works and also to search the item manually in the stockroom with an effort. To overcome this problem, the household inventory management system is used to maintain detailed product information with the use of technology and also informs where the product is placed. To save time, money, and to relieve the stress, the household inventory management system will help working parents. The inventory is tracked automatically in a continuous way without the interaction of the user. The proposed system is useful in households and also adaptable to larger-scale, like supermarkets and restaurant kitchens. RFID is one of the solutions for the household inventory management system. The RFID tag information can be transmitted with the help of a wireless device module and the internet. The architecture of the inventory management system is developed to find out the products which are attached to the RFID tags with the product information and the time stamp for future use. The Raspberry pi will help to monitor all the information as it acts as a central server. The proposed method is resulting in low cost and works in a dynamic way comparing to the existing inventory management system. 11 P a g e

9. 发明专利

AU2020101618A4 GENOMIC PROCESSING EMBEDDED SYSTEM FOR DATASET GENERATION AND DEEP ANALYSIS 未知
公开(公告)号：AU2020101618A4
公开(公告)日：2020-09-10
申请号：AU2020101618
申请日：2020-08-03
申请人： B SANTHOSH KUMAR DR , BIRADAR SUMANGALA MRS , DEKATE HIREN MADHUKAR DR , GARG LALIT DR , K A ANSAL DR , QURESHI SYED OBAID DR , S HASAN HUSSAIN DR , S C DHARMADHIKARI DR , SNEHA YERRAM MRS , SURAGALA ASHOK MR
发明人： SURAGALA ASHOK , B SANTHOSH KUMAR , DEKATE HIREN MADHUKAR , GARG LALIT , SNEHA YERRAM , BIRADAR SUMANGALA , S C DHARMADHIKARI , QURESHI SYED OBAID , K A ANSAL , S HASAN HUSSAIN
IPC分类号： G16B30/10
摘要： GENOMIC PROCESSING EMBEDDED SYSTEM FOR DATASET GENERATION AND DEEP ANALYSIS In the world, there are number of diseases that have rapid growth of infection in cells of human body. Especially, the study of the variations in the Deoxyribonucleic acid gives predictions regarding the risk factors of getting life threatening disease that may cause cell damage in the human body. There need a complete diagnose of the DNA in the human body and as each has number of molecules, it constitutes a huge volume of data processing of the deoxyribonucleic acid. This invention deploys genomic processing embedded system for dataset generation and deep analysis to assist biological technology to perform fast computation with deep feature having good quality score. The data can be captured by DNA sequencer, which captures the image data of the DNA. The image data is then converted to a biological read data and then it is processed for analysis. The four bases of the DNA sequence are aligned and the variations with the reference are recorded. They are validated to provide a feedback. The processed biological data is related to the patient data and it is deployed with deep analysis to predict casual interlink between all the data. The results are submitted to the hospital so that doctor can give appropriate consultation to the patients. 1| P a g e GENOMIC PROCESSING EMBEDDED SYSTEM FOR DATASET GENERATION AND DEEP ANALYSIS Drawings m EEoDATASETS THE SEQUENCIENG BIOLOGICAL Fig. 1. Block diagram 1 P a g e

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