Abstract: The present disclosure provides a privacy computing method based on homomorphic encryption, which includes steps as follows. The ciphertext data is received, where the ciphertext data has a floating-point homomorphic encryption data structure, and the floating-point homomorphic encryption data structure of the ciphertext data includes the ciphertext mantissa, exponent parameter and gain parameter. The gain parameter sets the precision of the floating point corresponding to the ciphertext mantissa. The exponent parameter is adapted to multiplication or division. The artificial intelligence model performs operations on the ciphertext data to return the ciphertext result.

Abstract: The present disclosure proposes a service plan automatic generation system and operation method thereof. The operation method includes a method for generating standardized items based on a service record, which includes the following steps: analyzing multiple instances to generate multiple feature tags, generating multiple word frequency vectors corresponding to the feature tags according to the instances, and performing an aggregation procedure for a plurality of times. Each time performing the aggregation procedure includes: executing a clustering algorithm to divide multiple instances into multiple groups, analyzing multiple variable parts and an identical part of multiple feature vectors in each group, outputting the variable parts as feature tag sets, and using the identical part as an index of the group, when a stop condition is detected, the index generated by the aggregation procedure in the last time is outputted as a standardized item.

Abstract: A transition method of locomotion gait of a robot includes: executing a deployment procedure multiple times, each execution includes: randomly selecting a source policy and a destination policy, simulating a transition operation from the source policy to the destination policy, and recording a transition configuration and a transition result to a transition database, where each policy is a neural network model, and a latent state in the transition configuration is a hidden layer of the neural network model of the source policy. The method further includes: training a transition-net according to the transition database, and performing the following steps by a meta-controller disposed on the robot: selecting two gait policies as an active policy and a queued policy, executing the active policy, inputting the two policies to the transition-net to obtain a success probability, and when the success probability is greater than a threshold, executing the queued policy.

Abstract: A light detecting device includes a substrate that has a lattice constant. A buffer layer is disposed on the substrate. A gradient layer is formed on the buffer layer opposite to the substrate, and includes a plurality of sublayers that have respectively lattice constants each of which is greater than the lattice constant of the substrate. The sublayers are arranged in a manner that the lattice constants of the sublayers undergo a gradual increase in lattice constant in a direction away from the substrate. A barrier layer is formed on the gradient layer opposite to the buffer layer, and has a lattice constant which is greater than that of the substrate and no smaller than the lattice constants of the sublayers. An absorption layer is formed on the barrier layer opposite to the gradient layer.

Abstract: The present disclosure provides a synonym searching method, which includes steps as follows. When receiving the vocabulary and the definition of the vocabulary from the user device, the natural language processing model is used to search the synonym of the vocabulary from the data governance dictionary according to the definition of the vocabulary; after providing the synonym to the user device, feedback information about the synonym is received from the user device, and the feedback information is used as the token of the vocabulary for the natural language processing model.

Abstract: A method for detecting and correcting cycle time includes multiple steps performed by a computing device, and these steps include: obtaining a video from a camera, obtaining a bounding box from an input device, inputting the bounding box and the video to a cycle time detection model to generate a preliminary report, wherein the bounding box is used to set a region of interest in the video, the preliminary report includes a plurality of candidate events, and each candidate event includes a start time and a candidate cycle time, receiving a revision label associated with at least one candidate event from the input device, and tuning a hyper-parameter of the cycle time detection model according to the revision label.

Abstract: A method for permission management includes: generating a plurality of job roles with different permissions according to organization permission table; generating first permission structure directed graph according to the job roles; selecting one of the job roles in first permission structure directed graph as target job role; generating minimum directed spanning graph in first permission structure directed graph according to target job role; determining whether permission of each of the job roles in first permission structure directed graph matches job of each of the job roles in first permission structure directed graph; and adjusting permission and job of each of the job roles to generate second permission structure directed graph if it is determined that permission of each of the job roles in first permission structure directed graph does not match job of each of the job roles in first permission structure directed graph.

Abstract: A hot spot defect detecting method and a hot spot defect detecting system are provided. In the method, hot spots are extracted from a design of a semiconductor product to define a hot spot map comprising hot spot groups, wherein local patterns in a same context of the design yielding a same image content are defined as a same hot spot group. During runtime, defect images obtained by an inspection tool performing hot scans on a wafer manufactured with the design are acquired and the hot spot map is aligned to each defect image to locate the hot spot groups. The hot spot defects in each defect image are detected by dynamically mapping the hot spot groups located in each defect image to a plurality of threshold regions and respectively performing automatic thresholding on pixel values of the hot spots of each hot spot group in the corresponding threshold region.

Abstract: Provided are structures and methods for forming structures with sloping surfaces of a desired profile. An exemplary method includes performing a first etch process to differentially etch a gate material to a recessed surface, wherein the recessed surface includes a first horn at a first edge, a second horn at a second edge, and a valley located between the first horn and the second horn; depositing an etch-retarding layer over the recessed surface, wherein the etch-retarding layer has a central region over the valley and has edge regions over the horns, and wherein the central region of the etch-retarding layer is thicker than the edge regions of the etch-retarding layer; and performing a second etch process to recess the horns to establish the gate material with a desired profile.

Abstract: Disclosed is a semiconductor fabrication method. The method includes forming a gate stack in an area previously occupied by a dummy gate structure; forming a first metal cap layer over the gate stack; forming a first dielectric cap layer over the first metal cap layer; selectively removing a portion of the gate stack and the first metal cap layer while leaving a sidewall portion of the first metal cap layer that extends along a sidewall of the first dielectric cap layer; forming a second metal cap layer over the gate stack and the first metal cap layer wherein a sidewall portion of the second metal cap layer extends further along a sidewall of the first dielectric cap layer; forming a second dielectric cap layer over the second metal cap layer; and flattening a top layer of the first dielectric cap layer and the second dielectric cap layer using planarization operations.

Abstract: The present application provides a method of preparing lithium-friendly colloid paint. The method comprises functionalizing a carbon nanotube material to obtain a plurality of carbon nanotubes with functional groups; dispersing the of carbon nanotube material with functional groups in a solution containing nitrogen molecules to from the dispersion liquid to obtain a carbon nanotube precursor; heat-treating the carbon nanotube precursors to obtain a plurality of nitrogen-doped carbon nanotubes; dispersing the plurality of nitrogen-doped carbon nanotubes in an organic solvent, and adding a dispersant obtain a nitrogen-doped carbon nanotube solution precursor; and providing a polymer material colloid and a lithium salt, and uniformly mixing the nitrogen-doped carbon nanotube solution precursor, the lithium salt and the polymer material colloid.

Abstract: A power consumption monitoring device includes a sensor, a storage, and a processor. The sensor is configured to detect a power-consuming device quantity and a power consumption amount. The storage is configured to store the power-consuming device quantity and the power consumption amount. The processor is communicatively connected to the sensor and the storage. The processor is configured to calculate a power-consuming device idling indicator based on the power-consuming device quantity and the power consumption amount in a monitoring time interval, wherein the power-consuming device idling indicator is used for indicating a deviation status of the power-consuming device quantity and the power consumption amount. The processor is further configured to determine whether the power-consuming device idling indicator exceeds a warning threshold. In response to the power-consuming device idling indicator exceeding the warning threshold, the processor is further configured to generate a warning message.

Abstract: A method for fabricating nonenzymatic glucose sensor, which comprises steps of: (a) providing a bottom substrate; (b) preparing a graphene layer on the bottom substrate; (c) depositing plural amount of zinc oxide (ZnO) seed crystals on the graphene layer; (d) growing the ZnO seed crystals into columnar nanorods with hydrothermal method; (e) coating a thin film of cuprous oxide (Cu2O) on the surface of the ZnO nanorods by electrochemistry-based electrodeposition; and (f) grafting single-walled carbon nanotubes (SWCNTs) on surface of the Cu2O thin film, by using Nafion fixative composited with SWCNTs. The structure of the above sensor, therefore, comprises a bottom substrate and other components orderly assembled on it, including, from inside to outside, a graphene layer, plural amount of ZnO nanorods, a Cu2O thin film, plural amount of SWCNTs, and the Nafion fixative. Accordingly, the sensor has advantages of low cost, rapid response, and easy for preservation.

Abstract: A setting method of in-memory computing simulator includes: performing a plurality of test combinations by an in-memory computing device and recording a plurality of first estimation indices corresponding to the plurality of test combinations respectively, wherein each of the plurality of test combinations includes one of a plurality of neural network models and one of a plurality of datasets, executing a simulator according to the plurality of test combinations by a processing device and recording a plurality of second estimation indices corresponding to the plurality of test combinations respectively, wherein the simulator has a plurality of adjustable settings; calculating a correlation sum according to the plurality of first estimation indices and the plurality of second estimation indices by the processing device, and performing an optimal algorithm to search an optimal parameter in the setting space constructed by the plurality of settings so that the correlation sum is maximal.

Abstract: The federated learning system includes a moderator and client devices. Each client device performs a method for verifying model update as follows: receiving a hash function and a general model; training a client model according to the general model and raw data; calculating a difference as an update parameter between the general model and the client model, sending the update parameter to the moderator; inputting the update parameter to the hash function to generate a hash value; sending the hash value to other client devices, and receiving other hash values; summing all the hash values to generate a trust value; receiving an aggregation parameter calculated according to the update parameters; inputting the aggregation parameter to the hash function to generate a to-be-verified value; and updating the client model according to the aggregation parameter when the to-be-verified value equals the trust value.

Abstract: A federated learning method using data digest includes: sending a general model to multiple client devices by a moderator, generating encoded features according to raw data and performing a training procedure by each client device, wherein the training procedure includes “updating the general model to generate a client model, selecting at least two encoded features and at least two labels to compute a feature weighted sum and a label weighted sum, sending the feature weighted sum and the label weighted sum as a digest to the moderator and send update parameters of the client model”, and “determining an absent client and an present client among the client devices, generating a replacement model according to the general model and the absent client, generating an aggregation model according to the present client and the replacement model, and training the aggregation model to update the general model” by the moderator.

Abstract: The present application provides a carbonate-based electrolyte. The carbonate-based electrolyte includes a carbonate, an ether, a lithium salt, a lithium nitrate, and a planar macrocyclic compound. The present application further provides a method for making the carbonate-based electrolyte and a lithium metal battery using the carbonate-based electrolyte.

Abstract: A method for establishing a complex motion controller includes following steps: obtaining a source controller and a destination controller, wherein the source controller is configured to generate a source motion, and the destination controller is configured to generate a destination motion; determining a transition tensor between the source controller and the destination controller, wherein the transition tensor has a plurality of indices, one of the plurality of indices corresponds to a plurality of phases of the source motion; calculating a plurality of transition outcomes of the transition tensor and recording the plurality of transition outcomes according to the plurality of indices; calculating a plurality of transition qualities according to the plurality of transition outcomes; and searching for an optimal transition quality from the plurality of transition qualities to establish a complex motion controller for generating a complex motion corresponding to one of the plurality of phases.

Abstract: A federated learning method using synonym includes: sending a general model to every client device by a moderator; performing a training procedure by each client device, wherein the training procedure includes: encoding private data into a digest; training a client model according to the private data, the digest and the general model, and sending the digest and a client parameter of the client model to the moderator; determining an absent client device of the plurality of client devices by the moderator; generating a synonym of the digest corresponding to the absent client device by a synonym generator; training a replacement model according to the synonym and the digest corresponding to the absent client device by the moderator; and performing an aggregation to update the general model by the moderator according to the replacement model and the client parameter of every client devices except the absent client device.

Abstract: A federated learning system using synonym includes a moderator and a plurality of clients. Each client includes an encoder encoding private data into a digest. The client trains a client model according to the private data, the digest and a general model, and sends the digest and a client parameter of the client model to the moderator. The moderator communicably connected to every client includes a synonym generator, sends the general model to every client, and determines an absent client of the plurality of client. The synonym generator generates a synonym of the digest corresponding to the absent client. The moderator trains a replacement model according to the synonym and the digest corresponding to the absent client device, performs an aggregation to update the general model according to a replacement parameter of the replacement model and the client parameter of every client except the absent client.