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 invention proposed damper protection for direct drive motor angle limits. This mechanism includes main components: Assembly guideway-spring, and Assembly angle limit bar, and Assembly direct-drive motor. The content mentioned in the invention describes the damping spring integrated inside the direct motor to protect the device when operating within the desired stroke limit. It can be applied to high-precision devices and motors. The invention's products can be applied in Direct-drive motor mechanisms that limit rotation angle with high-accuracy such as robotic arms, multi-sensor automatic observation devices, or unmanned equipment.

Abstract: The present invention provides a pyrotechnic valve that can be recovered for reuse, which includes a ignitation assembly that is mounted to a stop ring assembly and a body assembly. The body assembly contains a piston assembly that plays the role of moving to cut off the interior tubing passageways of the elbow block when the ignition assembly works. The technical solution described in this invention provides a reliable and stable pyrotechnic valve design, providing a valve recovery solution that helps reduce the cost of testing.

Abstract: The invention refers to a pyrotechnic latch retraction mechanism that can be applied to various types of flying devices. The main structure of this mechanism includes piston-cylinder assembly, electric ignition assembly and guide assembly. The solution described in this invention not only makes the exploitation, use and preservation of equipment more convenient, reduces difficulties, prevents risks and saves costs, but also ensures safety and security, reliability during device operation.

Abstract: The invention refers to a pyrotechnic latch retraction mechanism that can be applied to various types of flying devices. The main structure of this mechanism includes piston-cylinder assembly, electric ignition assembly and guide assembly. The solution described in this invention not only makes the exploitation, use and preservation of equipment more convenient, reduces difficulties, prevents risks and saves costs, but also ensures safety and security, reliability during device operation.

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 ANGULAR ROTATION LOCKING MECHANISM (ARLM) is used on cargo transport vehicles such as trucks and ships. The structure has a large load capacity, the ability to open and close easily, flexibly, but ensures the ability to lock the brake during the transport of the vehicle, in all weather conditions. Because of a purely mechanical structure, the maintenance and repair process is simple. The main point of the design is the self-positioning between the front pedestal shaft and the locking blade during operation.

Abstract: The Invention presents a system and a method for digitizing a human body shape from anthropometrical measurements. The proposed system and method allow reconstructing the 3D human body quickly and accurately, improving disadvantages of costly and timely traditional methods, which not only requires digitized persons to be naked or wear tight clothes but also could use hazardous lights to their health. The system in the invention includes two main modules and two supplementary blocks to reconstruct the 3D human body from anthropometric measurements, which are: (1) Input Block, (2) Pre-Processing Module, (3) Optimization Module, (4) Output Block. The method in the invention includes four steps: (1) Step 1a: collecting human body measurements, (2) Steps 1b: Initial Population; (3) Step 2: Optimizing; (4) Step 3: Displaying digitized human body shape.

Abstract: The passively q-switched diode end-pumped solid-state laser is used the gain medium made of Er:Yb doped crystal and the Q-switch made of Co2+:MgAl2O4 crystal. The optical elements are optimally designed for the resonator to achieve pulse energy in a range 0.5 mJ?E?2 mJ with the pulse width in a range of 4 ns-15 ns. The resonator is appropriate to use in laser rangefinders, target designator, and other products in military and civilian applications.

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: Described is a design to synchronize and prevent any clock timing issues associated with two clock domain crossing (CDC) in Design for Testing (DFT) and other CDC applications. In order to avoid any meta-stability issues associated with the sensitive edges of the two clock domains, the synchronization scheme splits the incoming data of the first clock domain into three branches, from which a finite state machine is to choose the correct branch for data transfer to the second clock domain. The selected branch will be the ‘safe’ one that guarantees there will be no timing issue at the second clock domain. This methodology can be applied in IC design that needs to optimize area and performance.

Abstract: The method of connection establishment method in data transmission between micro-services in cloud ensures reducing connection complexity between client instances and server instances, increasing the number of connections which helps increase data transmission performance. Besides, the method helps ensure load balancing when server instances change or in time of failure. The proposed method includes the following steps: step 1: data preparation; Step 2: build connection data table; Step 3: select the appropriate connection when receiving a request to send data from the client; step 4: periodically queries the independent service management, updating the current state of the server instances.

Abstract: This invention proposes a method of crowd abnormal behavior detection from video using artificial intelligence, includes three steps: step 1: Data-preprocessing; step 2: Feature extraction and abnormal prediction using a three-dimensional convolution neural network (3D CNN), step 3: Post-processing and synthesizing information to issue warning.

Abstract: The present invention discloses a DFT (Design for test) methodology to integrate synchronous double-clock latches to synchronize data transferring between two asynchronous clock domains, where the conventional lockup-latches (asynchronous latches) are automatically inserted to connect/combine the two independent asynchronous DFT chains for a more compacted solution. If the asynchronous latches are replaced by the synchronous double-clock ones, the static timing analysis (STA) will check both ends of the latches, therefore, the full combined chain is safe from the setup-hold issues. This method utilizes the automatic flow of asynchronous latches insertion to connect independent DFT chains. Then these conventional latches are replaced by synchronous ones. Both the synthesis, the physical implementation flows in the DFT design and the automatic-test pattern generation (ATPG) scheme have been modified to match these replacements.

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: The invention offers an ultracapacitor-based power system solution with four main functional blocks which are power conditioning block, monitoring block, charge-discharge block and protection block. The proposed system has the advantage of working well in the environment of vibration, high temperature, has a large capacity to provide a large amount and radiates less heat compared to systems using traditional batteries. In addition, the system has functions to protect and stabilize the output voltage, and the operating parameters of the system is monitored continuously.

Abstract: A method to detect, identify and determine the position of laser points from infrared laser emitters in a firearm training simulation system. The method consists of two steps. This first step combines some common tools such as a camera with a filter switcher and edge and corner detecting algorithms in image processing to provide a fast automatic screen calibrating method. The second step is to detect laser point objects in each frame continuously captured by the camera, and then further process these objects to identify laser shots, filter out noisy objects, and eventually detect simulated shots from different laser emitters and determine the final mapped position of the shot.

Abstract: The factual event detection method for online news consists of five main steps: Step 1: Preprocess raw text to split a document into sentences and words, find part-of-speech tags (POS tags), and digitize data; Step 2: Encode digitized words and their POS tags into vectors; Step 3: Detect triggers and their event types; Step 4: Concatenate the surrounding encoded vectors of each trigger into an aggregate vector; Step 5: Classify the realis status of each event. The method chosen is used in systems that automatically collect, extract, and analyze data in order to monitor and early warn about the activities of targets mentioned in digital newspapers.

Abstract: Method of analysis text message syntactically and by content, which entails: step 1; Split syntaxes (made available to subscribers by the network operator) into tokens to store in a Syntax Trie; step 2. Pre-process an incoming text from a subscriber; step 3. Split the text (pre-processed in Step 2) into tokens; step 4. Look up paths that include the tokens (obtained in Step 3) in the Syntax Trie (initialized in Step 1); step 5: Return the look-up result, which is the path in the Syntax Trie that best reflects the user intent.

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.