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1. 发明专利

AU2020102636A4 SBDA-Secured Bra for Women Safety: Smart and Secured Bra for Women Safety Based on Deep Learning Algorithm 未知
公开(公告)号：AU2020102636A4
公开(公告)日：2020-11-26
申请号：AU2020102636
申请日：2020-10-08
申请人： BONDE PADMA DR , CHAUDHARY ANKUR , CHORDIYA S B PROF DR , JAIN ARPIT DR , KUMAR SINGH KUSHWAHA ALOK DR , KUMAR ASHOK DR , KUMAR SANDEEP DR , RAJA ROHIT DR , RANI SHILPA PROF , RANJAN LABH JYOTI , SHARMA SANJAY DR
发明人： KUMAR SANDEEP , JAIN ARPIT , RAJA ROHIT , RANI SHILPA , SHARMA SANJAY , KUMAR SINGH KUSHWAHA ALOK , BONDE PADMA , KUMAR ASHOK , CHAUDHARY ANKUR , RANJAN LABH JYOTI , CHORDIYA S B
IPC分类号： A41C3/00 , A41F1/00 , G01S19/42 , G08B21/02
摘要： Our Invention "SBDA-Secured Bra for Women Safety" A bra comprises a signal activated fastener which may be utilized to unfasten the bra when the signal activated fastener receives a clapping sound generated by a person any sound /clapping his/her hands. The invented technology a strapless bra includes a sensor, a controller, and a fastener assembly cooperating to cause the bra to unfasten upon reception of any sound/ clapping sound. Now a day's women are traveling alone more than earlier and according to the survey of the traveling industry, every year approximately 52 million women are traveling alone all over the world. But always the women's security is the biggest challenge for every country so traveling alone is always a risky decision for every woman. So considering women safety as the biggest challenge, we proposed a layout for a smart and secure bra that monitors the heartbeat and voice emotion of women in case of any unfavorable circumstances. This pre-equipped bra will monitor the heartbeat along with fear emotion of the person and if the heartbeat is more than the threshold value, in that case, the bra will be locked. After that, the camera & GPS will be turned on and capture the images of the surroundings, location of the particular place, and is also the record of the voice. This entire information will be sent to the hospital, nearby police station, PCR and family members, etc. Switch on the device Monitinorm ormal Heart Beat i0 Female Safe Emotion Not Fear Recognition through b Voice Using AI/MI LFemale Safe Fear Device will be locked GPS on & Emergency information will send to Police Hospital Family Station Member FIG.3: RECOGNITION USING DEEP LEARNING TECHNOLOGY AS SHOWN IN FIG.

2. 发明专利

AU2020104033A4 CDM- Separating Items Device: Separating Items into their Corresponding Class using Iris Dataset Machine Learning Classification Device 未知
公开(公告)号：AU2020104033A4
公开(公告)日：2021-02-25
申请号：AU2020104033
申请日：2020-12-12
申请人： CHANDRA SHARMA PRAKASH DR , KUMAR BHAGAT SUKESH MR , KUMAR SAINI DINESH DR , KUMAR SARKAR BIPLAB PROF , KUMAR NARESH DR , KUMAR SANDEEP DR , MALLAMPATI DEEPIKA MS , MEHROTRA TUSHAR MR , PUNDHIR PRACHI MS , RANI SHILPA MS , RASVEEN MR
发明人： KUMAR NARESH , MEHROTRA TUSHAR , KUMAR SAINI DINESH , CHANDRA SHARMA PRAKASH , PUNDHIR PRACHI , MALLAMPATI DEEPIKA , RANI SHILPA , RASVEEN MR , KUMAR SANDEEP , KUMAR BHAGAT SUKESH , KUMAR SARKAR (DR ) BIPLAB
IPC分类号： G06K9/62
摘要： Our Invention "CDM- Separating Items Device" is a system and article of manufacture enabling adapting to a shift in document content through iris interrupt and also includes instructions for receiving at least one labeled seed document. The invented technology receiving unlabeled documents receiving at least one predetermined cost factor training a transductive classifier using the at least one predetermined cost factor, the at least one seed document, and the unlabeled documents and also classifying the unlabeled documents having a confidence level above a predefined threshold into a plurality of categories using the classifier. The reclassifying at least some of the categorized documents into the categories using the classifier and outputting identifiers of the categorized documents to at least one of a user, another system and another process. The systems and articles of manufacture for separating documents are also presented. Systems and articles of manufacture for document searching are also presented. A method and system for generating a decision-tree classifier in parallel in a shared memory multiprocessor system is disclosed and the processors first generate in the shared memory an attribute list for each record attribute. Each attribute list is assigned to a processor. The processors independently determine the best splits for their respective assigned lists, and cooperatively determine a global best split for all attribute lists. The attribute lists are reassigned to the processors and split according to the global best split into the lists for child nodes. The Invented process the split attribute lists are again assigned to the processors and the process is repeated for each new child node until each attribute list for the new child nodes includes only tuples of the same record class or a fixed number of tuples. The invented technology also devised systems, methods, and software that facilitate manual classification of headnotes and documents generally and hard-to classify headnotes or and other required data. One exemplary system provides a graphical user interface that concurrently displays an unclassified headnote a ranked list of one or more candidate classes a candidate class in combination with adjacent classes of the classification system. 0 =1.5 -0.5 C=5 -5 -3 -1 1 5 5 $ Edgemarc -DHCP 'ervareiabledcn both WAs VILAIN1- 192.16.1. V"N1 0 -10.2A10AU 11 tic switd: Tag VLANi1andV=A 10,)n to uplinkicor (Polt tn Edge~arc is plugged in to) TagVILAN 10 an allatrer ports in switdh ISP~c~dem EdgeM a(Router FiarotManage S ii ISPe Oiy Podisaemme of boih VILANs i and 10 UWagged VILAN1ilsignoredy phone and passed out ofthe PC portorphone SIP Pe- Tag Ethernet PT>ViAlf16 Phone gets16.2.10.101 PC Untagged PC gets 192.1l1.101 FIG. 1: IS A DEPICTION OF A CHART PLOTTING THE EXPECTED LABEL AS A FUNCTION OF THE CLASSIFICATION SCORE AS OBTAINED BY EMPLOYING MED DISCRIMINATIVE LEARNING APPLIED TO LABEL INDUCTION AND DATA SEPARATING THROUGH VOICE.

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