-
公开(公告)号：US20230288359A1
公开(公告)日：2023-09-14
申请号：US18176833
申请日：2023-03-01
Applicant: Infineon Technologies AG
Inventor： Simon Mittermaier , Werner Breuer , Cecilia Carbonelli , Alexandra Marina Roth , Jianyu Zhao , Alexander Zoepfl
CPC classification number: G01N27/12 , G01N33/0027
Abstract: A gas sensing device includes chemo-resistive gas sensors, wherein each of the gas sensors generates signals corresponding to concentrations of gases in a mixture of gases; a heating arrangement for heating gas sensors according to a periodic temperature profile; a preprocessing processor for receiving the signals from each of the gas sensors and for preprocessing the received signals to generate a preprocessed signal sample for each of the gas sensors for each period of the periodic temperature profile; a feature extraction processor configured for receiving the preprocessed signal samples and for extracting for each of the periods a set of feature values from the preprocessed signal samples received for the respective period; and a gas concentration processor for receiving sets of feature values.
-
公开(公告)号：US11428658B2
公开(公告)日：2022-08-30
申请号：US16777065
申请日：2020-01-30
Applicant: Infineon Technologies AG
Inventor： Cecilia Carbonelli , Manuel Carro Dominguez , Jianyu Zhao
Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heating elements for heating each of the gas sensors; a preprocessing block for filtering signal samples in order to generate filtered signal samples for each of the gas sensors; an information extraction block for generating representations for the filtered signal samples for each of the gas sensors based on dynamic characteristics of the received filtered signal samples of the respective gas sensor; and a decision making block for receiving the representations, wherein the decision making block includes a trained model based algorithm stage having an input layer and an output layer, wherein the decision making block includes trained models, wherein the decision making block creates sensing results based on output values of the output layer of the algorithm stage, and wherein the output values are created by using the trained models.
-
Patent Agency Ranking
公开(公告)号：US11971397B2
公开(公告)日：2024-04-30
申请号：US17361853
申请日：2021-06-29
Applicant: Infineon Technologies AG
Inventor： Cecilia Carbonelli , Manuel Carro Dominguez , Andrea Heinz , Sebastian Schober , Jianyu Zhao
IPC: G01N33/00
CPC classification number: G01N33/0034 , G01N33/0063 , G01N2033/0068
Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heat sources, wherein the gas sensors are heated according to one or more first temperature profiles during the recovery phases and according to one or more second temperature profiles during the sense phases; a preprocessing processor for generating preprocessed signal samples; a feature extraction processor for extracting one or more feature values from the received preprocessed signal samples; and a gas concentration processor for creating a sensing result, wherein the gas concentration processor includes a classification processor for outputting a class decision value, wherein the classification processor is configured for outputting a confidence value, wherein the classification processor includes a first trained model based algorithm processor, wherein the gas concentration processor comprises a quantification processor for creating an estimation value, and wherein the quantification processor comprises a second trained model based algorithm processor.
-
4.发明申请公开(公告)号：US20230110328A1
公开(公告)日：2023-04-13
申请号：US17930550
申请日：2022-09-08
Applicant: Infineon Technologies AG
Inventor： Cecilia Carbonelli , Simon Mittermaier , Sebastian Schober , Jianyu Zhao
Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heat sources; a preprocessing processor; a feature extraction processor; a discriminative embedding network processor for receiving sets of feature values and for creating for each of the sets of feature values a set of embedded feature values; a classification processor for receiving the sets of embedded feature values and for creating a classification value for each set of the embedded feature values, wherein the classification value indicates a class of a mixture of gases; and a quantification processor for receiving the sets of embedded feature values and the classification values, wherein the quantification processor is creates, for each of the gases, a sensing result for each of the sets of embedded feature values.
-
公开(公告)号：US20240159698A1
公开(公告)日：2024-05-16
申请号：US18506556
申请日：2023-11-10
Applicant: Infineon Technologies AG
Inventor： Jianyu Zhao , Cecilia Carbonelli , Simon Mittermaier , Yosra Bahri
CPC classification number: G01N27/12 , G01N33/0027
Abstract: A gas sensing device for sensing a target gas in a gas mixture comprises: a measurement module configured for obtaining a sampled measurement signal, the sampled measurement signal being responsive to a concentration of the target gas in the gas mixture; a compensation module configured for compensating the sampled measurement signal using an offset information to obtain a compensated measurement signal; a processing module configured for detecting a sample of the sampled measurement signal, which sample fulfils a set of one or more criteria, and wherein a first criterion of the set of criteria is fulfilled if, according to an evaluation of the sampled measurement signal, the sample is associated with a concentration of the target gas below a threshold, and updating the offset information based on a sample which fulfills the set of criteria.
-
公开(公告)号：US20220011283A1
公开(公告)日：2022-01-13
申请号：US17361853
申请日：2021-06-29
Applicant: Infineon Technologies AG
Inventor： Cecilia Carbonelli , Manuel Carro Dominguez , Andrea Heinz , Sebastian Schober , Jianyu Zhao
IPC: G01N33/00
Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heat sources, wherein the gas sensors are heated according to one or more first temperature profiles during the recovery phases and according to one or more second temperature profiles during the sense phases; a preprocessing processor for generating preprocessed signal samples; a feature extraction processor for extracting one or more feature values from the received preprocessed signal samples; and a gas concentration processor for creating a sensing result, wherein the gas concentration processor includes a classification processor for outputting a class decision value, wherein the classification processor is configured for outputting a confidence value, wherein the classification processor includes a first trained model based algorithm processor, wherein the gas concentration processor comprises a quantification processor for creating an estimation value, and wherein the quantification processor comprises a second trained model based algorithm processor.
-
公开(公告)号：US20200271605A1
公开(公告)日：2020-08-27
申请号：US16777065
申请日：2020-01-30
Applicant: Infineon Technologies AG
Inventor： Cecilia Carbonelli , Manuel Carro Dominguez , Jianyu Zhao
Abstract: A gas sensing device includes one or more chemo-resistive gas sensors; one or more heating elements for heating each of the gas sensors; a preprocessing block for filtering signal samples in order to generate filtered signal samples for each of the gas sensors; an information extraction block for generating representations for the filtered signal samples for each of the gas sensors based on dynamic characteristics of the received filtered signal samples of the respective gas sensor; and a decision making block for receiving the representations, wherein the decision making block includes a trained model based algorithm stage having an input layer and an output layer, wherein the decision making block includes trained models, wherein the decision making block creates sensing results based on output values of the output layer of the algorithm stage, and wherein the output values are created by using the trained models.
-
-
-
-
-
-
Search Results
7
records
(took 0.012 seconds)
