Abstract: A design for production method of composite materials that have the ability of heat insulation, ablation resistant, high reliability by bulk molding compound method, applied for specific, special parts in aerospace industry. The method comprises three main parts: (1) The production process for composite materials by bulk molding compound method; (2) The technique for bulk producing; (3) The testing method for ablation and static-pressure of final composite parts has been produced by bulk molding compound. The ingredients for this process is including of matrix resin: epoxy, phenolic and polyester; reinforcement fibre: Glass fibre (E-glass/S-glass), carbon, aramid; and some others additives, catalyst, binders. This is a simple, cost-effective method, easy to produce the composite parts with geometry diversity, easy for machining, final products have super-high strength, great heat insulation and ablation resistant.

Abstract: The proposed invention introduces a method for automatically selecting roles for Wi-Fi Access Points in a multi-AP network. It is designed for Wi-Fi Access Points that support LAN connections and adhere to the Wi-Fi EasyMesh standard published by the Wi-Fi Alliance. The method relies on the distinctive characteristics of each role to accurately determine the appropriate role for each Access Point. This innovation streamlines deployment, saving time, enhancing efficiency, and eliminating human errors.

Abstract: The session persistence method in the microservice system in the cloud environment provides a session persistence mechanism with a specific “instance” by session identifier. The method ensures the continuity of requests with the same identifier. In addition, the method brings the benefit of resource optimization when only one resource management “instance” is required for each session. The method includes the following steps: building a session management service model; allocating and storing session identifiers; monitoring, tracking, and updating session identifiers.

Abstract: The mechanism in the invention provides a solution for automated, remote regulating high pressure air in the industrial air tube system. With double layer electromagnetic valves, the mechanism assure the comfortable and safe working platform for humans and equipment. The mechanism comprises: mechanical valve, 20 L pneumatic tank, pressure gauge, sealed metal box, static disc, electromagnetic relay with movable stem, capacitor, low pressure air tube, high pressure air tube, electrical wire, electromagnetic relay.

Abstract: The high-speed search matching method with a large-scale heterogeneous database includes the process of extracting and storing the user's registered image features, forming a database, and being a reference when matching and searching; The process of initializing the search engine, in which two objects in the search engine are initialized, including a matching object, calculating the distance, and a data table object to determine the target search object for each input image sample; The process of matching and searching for objects, including the process of calculating the distance between the features and determining the target array, and finally comparing and returning the final result. The proposed method has demonstrated the ability to calculate accurately as well as very high performance, especially in large-scale data processing cases.

Abstract: The invention proposes False targets caused by reflection position determining system and solution for the SSR which helps determine reflected real target's coordinate, reflector's coordinate and features, coordinate and features of the false target (multipath target) and using these data as the basis to build up the multipath target suppressing system, guaranteeing the detecting ability of the radar. The proposed system contains: Input data generating component; False target position (multipath position) determining component; Reflected signal power comparison calculating component; Displaying and data transferring component; Reflected multipath targets suppressing component.

Abstract: The aerodynamic design method of the non-uniform perforated inverse conical flow spreader (PICFS) used in intermittent blowdown wind tunnel. This device, which is installed inside the wind tunnel's plenum chamber, is to slow down and to spread uniformly flow coming from the inlet pipe by means of tearing apart it into numerous small jets and letting those jets coalesce. This invention discovers that at least for square inlet pipe shape, a non-uniformly perforated device offers superior downstream flow uniformity to that of a uniformly perforated one. Therefore, the design process has been proposed to obtain improved freestream velocity distortion at the plane locating about 1.0-1.5 times of plenum chamber's diameter D downstream of the flow spreader, where typically is installed aerodynamic device such as honeycomb flow straightener or turbulence screen.

Abstract: The method for designing an autopilot controller for flying objectives (FOs) that adapts to velocity, altitude, and overload consists of two parts: part I focuses on determining the initial controller, and part II focuses on determining the adaptive controller. This method eliminates transfer function zeros, prevents continuous integration, and limits the control signal to ensure the operational conditions of the control loops. The use of a unified control structure allows for a consistent design and tuning process across all three control channels, thereby generalizing the control problem. The solution ensures strong adaptability across a wide range of flight scenarios for FOs, particularly those operating at high velocities, with high overload, and continuously changing altitudes.

Abstract: A rotational encoder combined with angle limit braking mechanism. The mechanism includes a braking system and a shock-absorbing spring mechanism integrated within the rotary encoder block to protect the device when operating within the desired angular travel limits. It is applied in scanning devices that require high angular position accuracy and stringent safety standards against external environmental impacts. The product of the invention is used in direct-drive motor mechanisms with high precision for angular travel limitation, such as robotic arms, fixed or mobile multi-sensor automated observation devices, and unmanned vehicles.

Abstract: The weight and center of gravity measurement equipment for aerial vehicles, comprising: a base frame, an equipment frame positioned above the base frame, first and second supporting components opposite each other at both equipment frame ends so that the line (A-A) connecting the centers of first and second clamp rings of these two supporting components is parallel to a horizontal plane; the first clamp ring is driven to rotate at predetermined angles ? around the line (A-A) by a servo motor through a gearbox; three load sensors arranged in a triangular pattern between the base and equipment frame; a processor receives signals from these load sensors, calculate the vehicle weight and center of gravity based on load values of the vehicle determined by the load sensors at the initial and at each positions where the vehicle rotated at the predetermined angle ?, and outputs the results to a display screen.

Abstract: A multimodality face liveness detection method to prevent biometric attacks on electronic identification authentication systems comprises 5 steps. Step 1: Training the backbone model for feature extraction, Step 2: Semi-automatic data preprocessing, Step 3: Data normalization and augmentation, Step 4: Building a deep learning model (BiMoTranS) for multimodal face liveness detection based on Transformer architecture with pre-training using the self-knowledge-distillation method, Step 5: Training the multimodal model using multi-modal data fusion techniques.

Abstract: The invention proposes a novel method for developing a TOD model by representing input data as function calls and utilizing LLM as the foundational model to train multi-tasks via finetuning LLM with instruction. Furthermore, to implement the proposed model on LLMs with moderate sizes (fewer than 10 billion parameters), the invention also presents a finetuning LLM method to enhance the capability of these LLMs in terms of handling function-calling tasks. Finally, an effective training strategy with customized loss functions for each specific task is presented to optimize the training process. Experimental results on the standard MultiWOZ 2.2 dataset demonstrate the superior performance of the proposed method compared to existing approaches in this field of research.

Abstract: The present invention provides a method of masked face recognition from images by artificial intelligence technology including four steps: step 1: generating the images of face wearing a mask; step 2: training a deep learning model for face detection while wearing a mask; step 3: training the deep learning model for face feature extraction while wearing a mask; step 4: building a full pipeline of masked face recognition from images using the trained models from step 2, step 3, and some post-processing algorithms. The method aims to improve the accuracy of identity verification in the context of wearing masks has become popular and compulsory in life.

Abstract: The invention proposes a method to reduce the skip rate in speech data labeling, which is carried out through the following steps: Step 1: Collecting Speech Segments for Text Labeling; Step 2: Text Labeling of the Speech Segments; Step 3: Creating a Training Set for a Machine Learning Model; Step 4: Building the Machine Learning Model; Step 5: Training the Machine Learning Model; Step 6: Using the Machine Learning Model to Filter Data. The method helps reduce time and increase productivity in the speech data labeling process while ensuring data quality. The method employs a machine learning model to learn the behavior of skipping or not skipping speech segments by the labelers, thereby eliminating segments likely to be skipped before presenting the data to the labelers.

Abstract: A method for multi-object tracking from video. The method includes the following steps: (1) Capturing frames from the streaming source and preprocess the data; (2) Extract video features with three choices: a 3D-CNN backbone followed by a Transformer Encoder, a Video Transformer Encoder, a 2D-CNN Encoder with a stack of frames as input followed by a Transformer Encoder; (3) Multi-object tracking using a new end-to-end multi-task deep learning model named JDAT (Joint Detection Association Transformer), then post-processing and updating tracking state with Temporal Aggregation Module (TAM). The deep learning models in step 2 and step 3 are trained simultaneously end-to-end with a loss function that is accumulated over multiple timesteps (Collective Average Loss—CAL). Also, the model can be pretrained with weakly labeled image dataset in a self-supervised learning manner first, then finetuned on supervised video datasets with full tracking labels.

Abstract: The invention mentioned a method for automated moderation of child-inappropriate video content. The method includes the following steps: step 1: collecting and labeling video data on children-inappropriate content; step 2: data preprocessing; step 3: building a model to identify the time intervals of the appearance of children-inappropriate objects; step 4: building a model to identify the time intervals of the occurrence of children-inappropriate behaviors/actions; step 5: building a model to identify the age of the subjects based on their face appearing in the frames; step 6: post-processing the output information to produce censorship results; step 7: optimizing model performance to reduce video processing time for practical deployment.

Abstract: The invention relates to an explosive mass drop test device. Specifically, the present invention relates to a method of designing an explosive block drop test device to serve the explosion test process and meet the requirements for ensuring safety during the test. The present invention gives an example of a test device for dropping explosive masses in the range 50-300 kg. In addition, the structure is designed to be simple, easy to integrate and disassemble with the explosive block, the manipulation of dropped objects is simplified. The product of the present invention can be used to test the safety of explosive blocks.

Abstract: Radar signal detection and parameter estimation is central in passive surveillance systems, providing inputs for many information processing modules in order to detect, localize, indentify and intercept hostile targets. The proposed method for detecting radar signals and estimating their intra-pulse parameters in time-varying noisy environments consists of several stages: magnitude-squared envelopes calculation, adaptive noise floor estimation, detection statistics calculation, rising edge detection, time of arrival estimation, falling edge detection, time of departure estimation, pulse width estimation, amplitude estimation and center frequency and bandwidth estimation. Estimated intra-pulse parameters are wrapped into pulse descriptor words (PDWs) for information processing tasks, where each PDW consists of time of arrival, time of departure, pulse width, pulse amplitude, center frequency, signal bandwidth, noise floor level and additional useful information.

Abstract: The electric lifting mechanism for the automatic balancing system uses two or more lifting mechanisms and combines with high-precision angle measuring sensors to balance in the desired directions or planes. The structure is used for balancing systems on truck cranes, radar trucks, fire trucks and military forklifts or other systems that require balancing. The system has large lifting force, compact size, high control precision and the ability to balance in a short time.

Abstract: A systematic framework for optimizing multi-stage axial compressor disk designs in gas turbine engines. By combining finite element analysis (FEA), Design of Experiments (DOE), and optimization algorithms of multi-objective genetic algorithm (MOGA), the method balances stress, deformation, and mass to enhance structural performance. The six-step process includes blade modeling, parameterizing disk geometry, structural analysis using FEA, developing functional relationships, applying optimization algorithms, and generating manufacturable 3D disk models. This approach reduces weight, improves fuel efficiency, and adapts to various compressor designs and materials, enhancing the overall performance of gas turbine engines.