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    • 1. 发明专利
    • A METHOD FOR ANALYSIS AND INTERPRETATION OF CROP BIOINFORMATICS REPEATS SEQUENCE PATTERN
    • AU2021101343A4
    • 2021-05-13
    • AU2021101343
    • 2021-03-16
    • KUMAR CASHSINGH SAKSHISINGH VINAY KUMAR DR
    • SINGH SAKSHIKUMAR CASHSINGH VINAY KUMAR
    • G16B30/10G06Q50/02G16B30/20
    • The present disclosure relates to a method for analysis and interpretation of crop bioinformatics repeats sequence pattern. The method comprises performing whole genome sequencing, whole transcriptome sequencing, and whole exome sequencing and aligning and merging fragments from a longer deoxyribonucleic acid sequence in order to reconstruct the original sequence; identifying complete set of genes and identifying complete transcripts; identifying single nucleotide polymorphism (SNP) and simple sequence repeat (SSR) in whole crop proteome and genome for intronic and exonic regions; interpreting corresponding nucleotide genetic pattern and signature followed by determining crop gene codon composition; correlating pattern between proteome and genome of intronic and exonic regions using functional and structural motifs identification; and performing candidate gene based alignment and phylogenetic relationship and thereafter classifying sequence structure function. perForrning w hole genorne sequence ing, w hole tra nscriptorne sequencing, a nd w hole exorne sequenti rig anrd alignir and rmergirg fragments from a lorkger deoxyribonuli cidsequerite irnorder to reconstruct theoriginal sequence anaigig A 1 102 identfing cornplete set of gernes arnl identifyi rig cornplete tra riscripts ? identifyirigsingle nucleotide polymorphism [SNP) and simplesequence repeat [SSR) iriwhole crop proteome arid gerione for intrornic arid exotic regions interpreting corres pondirg nucleotide genetic pattern arid signature followed by determinirig crop gerie codon 108 composition correlating pattern betweeri proteorne arid genone ofintrornic and exonic regions usingfunctioral and structural rmotifs identification perform rig ca ndidate gerie-based aligrnsentand phylogenetic relations hip a nd thereafter classifying sequence 112 structure function Figure 1 i en sequ wotip Cnatmma [IA nM t te 0" 111W Trinsepts Iseilete itees -- -gd C& an(6"WMtJAMNroAtomp c n4e Cropgrneccdnccmenpositlondelerminaln PosIm wrbqiqn pd In Jnii; Ewrli mgionj Pat ter n carreIaionnbet ween prtelernead geom. (lai atn.orslacu•nni p rgm -Iittca malatlenssrp Figure 2A stunatttioclnlircmooFigure 2B co
    • 2. 发明专利
    • “KAVYA” - THE SKY HANGING SHOW CASE
    • AU2020102946A4
    • 2020-12-24
    • AU2020102946
    • 2020-10-21
    • AGRAWAL HIMANSHU DRJAIN JAINENDRA DRKHAN MOHAMMAD RAFIQUE DRSINGH VINAY KUMAR DR
    • KHAN MOHAMMAD RAFIQUEAGRAWAL HIMANSHUSINGH VINAY KUMARJAIN JAINENDRA
    • A47B81/06H02G3/00
    • "KAVYA" - THE SKY HANGING SHOW CASE Television has always been the source of Excitement, Entertainment, Knowledge and Information for people from the beginning of 1 9th Century. Its journey has started with the invention of Mechanical type television that has taken the shape of Smart and 3D TVs, with intermediate product as Electronic, Color and Digital, version of it. At present the Smart TVs are offering so many features over and above its regular functionality. They can be used as Visual Display Unit with so many gadgets and units. Some of them are Computer System, Home Theater, Play Station, Gaming Zone, Multiple Screen Video Editing and so on. Out of these features the minimum devices needed to enjoy the leisure time is Set Top Box and External Audio System. Without Set Top Box multiple channels cannot be viewed and similarly the sound quality will not be so good if woofers are not built in the TV. Thus, the Set Top Box and Sound System can be treated as essential gadgets to enjoy the fun time. To accommodate all these, we generally prefer to have a separate Show Case or Table or Wall Mounted Shelf as well as it is tried to manage all the cables either by hooking or concealing them to maintain the aesthetics all around the TV set. Such management needs extra floor space and imposes financial burden as well. KAVYA, the concept of Sky Hanging Show Case is the solution to this problem, presented in this paper. In this system the space between the wall and back top of the TV set is proposed to be utilized for placing all the above-mentioned electronic devices along with necessary cable connections. 11 P a g e "KAVYA" - THE SKY HANGING SHOW CASE Diagram p The available space depicted using sections "b" to f"T v will be sufficient to accommodate, Set Top Box, Power B qagefor Extension, DVD Player, Speaker with Sub-woofer along with all the Necessary Cables. c r k W A Typical profile estimate for 43-inch TV set is Sup =10 mm, q =15 mm, r =60 mm, s = 200 mm p L t=60mm,u=285mm,v=7mm r L Material - Suitable Al Section with 0.5 to 1mm thick o shall be used to generate the case profile. f Cablesof iGadget Elliptical Slot and Holes will be provided on segment "e" and "f" at a pitch distance of 50 mm. Slot diameter 1" e t or Major, Minor Axis of Ellipse as 1.25" x 1". Figure 1: Shape Profile of KAVYA - The Sky Hanging Show Case 1 P a g e
    • 3. 发明专利
    • DISEASE DETECTION USING IOT AND MACHINE LEARNING IN RICE CROPS
    • AU2020102100A4
    • 2020-10-22
    • AU2020102100
    • 2020-09-02
    • KHAN MOHD ARSH MRSHARMA NITESH KUMAR MRSINGH VINAY KUMAR DR
    • SHARMA NITESH KUMARKHAN MOHD ARSHSINGH VINAY KUMAR
    • G16Y40/10A01G22/22G06K9/20G06K9/62G06N20/00G06Q50/02G16Y40/35
    • DISEASE DETECTION USING IOT AND MACHINE LEARNING IN RICE CROPS Agricultural development is the vital form of income and a major part of an Indian economic growth is dependent on crop cultivation. In order to improve crop production and benefit, accurate diagnosis of plant leaf diseases is crucial. For several causes one of the main concerns for the aforementioned issue is crop disorders, farm workers are still suffering losses in growing crops. This is related to inadequate of information on the infection and the appropriate pesticides or insecticides to combat the infection. But identifying the actual illness and supplying the right treatment necessitates professional assistance or advanced experience to manage the illness. Farming professionals detect most diseases by analyzing visible indications. Nevertheless, producers have little exposure to the specialists. Rice grains often affected by Rice Blast and Bacterial Blight hence contributes to decline in rice crops productivity. This proposal integrates the machine learning and Internet of Things concepts for detecting the diseases in the rice plant. The IoT technology solutions facilitate remotely tracking of the agricultural sector's knowledge from the landscape. Temperature, air pressure, water level, level of sunshine is tracked and transmitted to the cloud. From residence the farm workers will track the plantation's sustainability records. A Machine Learning model that incorporates the Convolutionary Neural Network (CNN) algorithm to diagnose rice plant diseases leveraging the photos and include the necessary treatment. The treatments include accurate details concerning about the utilization of fertilizer or fungicide to treat the illness. 11 P a g e DISEASE DETECTION USING IOT AND MACHINE LEARNING IN RICE Diagram StlINGDAASE FIG:FLDIGRTA AND TFNa(1ge €1ASS1)uf(WIION ('3 4%N 11 TIN j4l N ALGORlfiMl Dis£5Es FIG 1: FLOW DIAGRAM 1 |P a g e