Abstract: A multi-fault diagnosis method has the following steps: measuring cell voltages of a battery pack to be diagnosed; constructing a cell voltage sequence according to measured cell voltages of the battery pack to be diagnosed, and calculating a sample entropy value of the cell voltage sequence; setting a correction coefficient for representing voltage fluctuation information, and correcting the sample entropy value through the correction coefficient to obtain a corrected sample entropy value; and judging and outputting a fault type of the battery pack to be diagnosed according to a numerical value change of the corrected sample entropy value. Faults of cells can be accurately diagnosed without a model, sample entropy values under different faults can be distinguished by setting the correction coefficient, the intuitiveness and efficiency of fault detection are improved, and the fault type and time of the lithium-ion cells can be quickly, accurately and stably diagnosed and predicted.

Abstract: A continuous membrane-covered aerobic fermentation system and an application method thereof are disclosed. The system comprises: a fermentation trough which is formed by underground walls of trough, above-ground walls of trough, and a trough bottom; a membrane changing machine configured for performing membrane uncovering, membrane laying, or membrane changing treatments on a semipermeable membrane covered on the fermentation trough and materials in the trough; a pile turning machine configured for direct turning and further mixing the materials under the membrane without uncovering the membrane, and gradually shifting and conveying the materials to another fixed position; and a condensate collecting system configured for continuously collecting the condensate on a inner surface of the semipermeable membrane in real time and guiding out the condensate.

Abstract: An approach is provided for improving a named entity recognition. Using a multi-label classification in a neural network, a sub-entity is identified in an original sentence. First and second labels are determined indicating first and second candidate types of the sub-entity. First and second replacement sentences are generated. The first replacement sentence replaces the sub-entity in the original sentence with a first sub-entity of the first candidate type. The second replacement sentence replaces the sub-entity in the original sentence with a second sub-entity of the second candidate type. First and second confidence scores for the first and second replacement sentences are determined. Based on the first confidence score exceeding the second confidence score by more than a threshold amount, the neural network is retrained by selecting the first instead of the second candidate type as the sub-entity type.

Abstract: Techniques are provided for mapping natural language to code segments. In one embodiment, the techniques involve receiving a document and software code, wherein the document comprises a natural language description of a use of the code, generating, via a vectorization process performed on the document, at least one vector or word embedding, generating, via a natural language processing technique performed on the at least one vector or word embedding, a first label set, generating, via a machine learning analysis of the software code, a second label set, determining, based on a comparison of the first label set and the second label set, a match confidence between the document and the software code, wherein the match confidence indicates a measure of similarity between the first label set and the second label set, and upon determining that the match confidence exceeds a predefined threshold, mapping the document to the software code.

Abstract: Techniques are provided for mapping natural language to code segments. In one embodiment, the techniques involve receiving a document and software code, wherein the document comprises a natural language description of a use of the code, generating, via a vectorization process performed on the document, at least one vector or word embedding, generating, via a natural language processing technique performed on the at least one vector or word embedding, a first label set, generating, via a machine learning analysis of the software code, a second label set, determining, based on a comparison of the first label set and the second label set, a match confidence between the document and the software code, wherein the match confidence indicates a measure of similarity between the first label set and the second label set, and upon determining that the match confidence exceeds a predefined threshold, mapping the document to the software code.

Abstract: An approach is provided for improving a named entity recognition. Using a multi-label classification in a neural network, a sub-entity is identified in an original sentence. First and second labels are determined indicating first and second candidate types of the sub-entity. First and second replacement sentences are generated. The first replacement sentence replaces the sub-entity in the original sentence with a first sub-entity of the first candidate type. The second replacement sentence replaces the sub-entity in the original sentence with a second sub-entity of the second candidate type. First and second confidence scores for the first and second replacement sentences are determined. Based on the first confidence score exceeding the second confidence score by more than a threshold amount, the neural network is retrained by selecting the first instead of the second candidate type as the sub-entity type.

Abstract: One or more computer processors extract respective features for each inter-modal sample in an inter-modal dataset, for each intra-modal sample in an intra-modal dataset, and a subsequent sample, wherein the inter-modal dataset and the intra-modal dataset are contained in a multi-modal training dataset. The one or more computer processors estimate an inter-modal label utilizing inter-modal label transformation of a subsequent sample. The one or more computer processors estimate an intra-modal label utilizing intra-modal label transformation of the subsequent sample. The one or more computer processors label the subsequent sample with a cross-modal label by combining the estimated inter-modal label and the estimated intra-modal label.

Abstract: A method, system, and computer program product for reconstructing training data and building a new incremental learning model with the reconstructed training data that can be further trained. The method may include receiving new data to be inputted into a previously trained machine learning model, where the previously trained machine learning model has inaccessible training data. The method may also include generating simulated training data using a reverse form of the previously trained machine learning model. The method may also include verifying the simulated training data. The method may also include creating a new machine learning model using the simulated training data, where the new machine learning model includes a same structure as the previously trained machine learning model. The method may also include inputting the new data into the new machine learning model, where the new machine learning model is further trained with the new data.

Abstract: A heat exchanger and an air conditioner comprising the heat exchanger are provided. The heat exchanger includes a gaseous refrigerant heat exchange pipe (6) and a liquid refrigerant heat exchange pipe (7) provided on the same side of the heat exchanger, the heat exchanger further includes a gaseous refrigerant heat exchange branch pipe (2) and a liquid refrigerant heat exchange branch pipe (3). During installation of the heat exchanger and the air conditioner, a pipe exiting direction may be selected according to user demands without bending the pipes, a pipe routing space does not need to be reserved on the back of the whole machine, and installation is facilitated.

Abstract: An indoor unit of an air conditioner, comprising an air duct, an air outlet in communication with the air duct, and an air deflector for guiding the direction of air outflow of the air conditioner, with a volute tongue being provided at an end of the air duct proximately to the air outlet, wherein it further comprises a rotation driving motor in drive connection with a left support end of the air deflector.

Abstract: An indoor unit of an air conditioner is provided, comprising an air duct, an air outlet in communication with the air duct, and an air deflector for guiding the direction of air outflow of the air conditioner, with a volute tongue being provided at an end of the air duct proximately to the air outlet, wherein the indoor unit of the air conditioner further comprises an air deflector opening and closing mechanism in drive connection with the air deflector which is rotatably provided at the outer side of the air outlet. The indoor unit of the air conditioner can sealingly close the air outlet with respect to the air deflector and avoid any gap from being formed between the air deflector and the air outlet when the air deflector is closed.

Abstract: A heat exchanger and an air conditioner comprising the heat exchanger are provided. The heat exchanger includes a gaseous refrigerant heat exchange pipe (6) and a liquid refrigerant heat exchange pipe (7) provided on the same side of the heat exchanger, the heat exchanger further includes a gaseous refrigerant heat exchange branch pipe (2) During installation of the heat exchanger and the air conditioner, a pipe exiting direction may be selected according to user demands without bending the pipes, a pipe routing space does not need to be reserved on the back of the whole machine, and installation is facilitated.

Abstract: An indoor air-conditioner unit comprises an air duct, an air outlet connected with the air duct, and an air deflector guiding directions of air flow from the air-conditioner. A volute tongue is provided in the air duct and near an outer end of the air outlet. Wherein, the indoor air-conditioner unit further comprises a central support mechanism, which is elastically arranged between the central part of the back of the air deflector and the volute tongue, thus a complete seal of the air outlet can be achieved when the air deflector is closed, i.e., there are no gaps in the air outlet.

Abstract: An indoor air-conditioner unit comprises an air duct, an air outlet connected with the air duct, and an air deflector guiding directions of air flow from the air-conditioner. A volute tongue is provided in the air duct and near an outer end of the air outlet. Wherein, the indoor air-conditioner unit further comprises a central support mechanism, which is elastically arranged between the central part of the back of the air deflector and the volute tongue, thus a complete seal of the air outlet can be achieved when the air deflector is closed, i.e., there are no gaps in the air outlet.

Abstract: An indoor unit of an air conditioner, comprising an air duct, an air outlet in communication with the air duct, and an air deflector for guiding the direction of air outflow of the air conditioner, with a volute tongue being provided at an end of the air duct proximately to the air outlet, wherein it further comprises a rotation driving motor in drive connection with a left support end of the air deflector.

Abstract: An indoor unit of an air conditioner is provided, comprising: an air duct, an air outlet in communication with the air duct, and an air deflector for guiding the direction of outflow of the air conditioner, with a volute tongue being provided at an end of the air duct proximately to the air outlet, wherein the indoor unit of the air conditioner further comprises an air deflector opening and closing mechanism in drive connection with the air deflector which is rotatably provided at the outer side of the air outlet. The indoor unit of the air conditioner can sealingly close the air outlet with respect to the air deflector and avoid any gap from being formed between the air deflector and the air outlet when the air deflector is closed.