Hong Kong Applied Science and Technology Research Institute Company, Limited

The Hong Kong University of Science and Technology

The Hong Kong Research Institute of Textiles and Apparel Limited

The Hong Kong Polytechnic University

Nano and Advanced Materials Institute Limited

Yang Liu

Zhi Bin Lei

Chao Feng

Kangheng Wu

Lei Yao

Edwin Yee Man Keh

Alex Chan

Benzhong Tang

Wing Yip Lam

Yong Yu

Hailiang Li

Yi Ping Tse

Man Yau Chiu

Mimi Hetti

Wendy Yu

Yu Keung Ng

Zhibin Lei

Yan Wang

Jianzhao Liu

Xiao Liao

Xin Chen

Hung Sirius Chan

Ze Yang

Zhixi Li

Shiyu Liao

Hung Chan

Kevin Cheuk

Hosanna Poon

Zuyao Wang

Cheuk Hang Chiu

Lawrence Kwan Yeung

Yi Xiang

Faisal Mahtab

Chunhua Xu

San-Qiang Shi

Chung Ho Woo

Vincent Wai-Leuk Tam

Zhengmairuo Gan

Wei Chen Huang

Alex Hok Chung Chan

Jason Lap Hung Chan

John Kin Ming Leung

Collin Xin Chen

Kanji Kajiwara

Akihiro Suzuoka

Philip Yun Ngok Chan

The present disclosure provides methods of preparing cellulosic superabsorbent polymer (SAP) using cellulose powder.

Cellulosic superabsorbent polymer from post-consumer textile waste

A method for a protocol in digital asset trading includes step as follow. Trading information is exchanged between the first and the second nodes, in which a first digital currency belonging to the first node and a second digital currency belonging to the second node are expected to be exchanged, and prices of the first and second digital currencies are time-dependent. An atomic swap script and a smart contract are generated. A compensation fee to be paid to the second node by the first node is computed. A redeeming or refunding event is performed in response to the atomic swap script and the smart contract with paying the compensation fee to the second node, in which the compensation fee is dependent on the prices of the first and second digital currencies such that is time-dependent.

Apparatus and method for providing protocol for digital asset trading

A method of high dimensional data analysis in real-time comprising executing dimension-reducing an input historical data set under a t-SNE model and determining from the resulting dimension-reduced data set a recent; further dimension-reducing the recent group data set under a PCA model; statistical analyzing the further dimension-reduced data set to determine a threshold group for distinguishing abnormal data from normal ones in a real-time data stream. The method may further include training a classifier using the abnormal or normal data set for predicting anomaly in the real-time data source system. Alternatively, a discrepancy training data set is computed from one of the normal and abnormal data sets and be used to train one of independent normal and abnormal data regression models; with the other one trained by transfer learning based on the trained one. The trained regression models are then used to predict discrepancy values.

Apparatus and method of high dimensional data analysis in real-time

A method for separating and recycling a waste polyester-cotton textile by a hydrothermal reaction catalyzed by an organic acid, comprising the following steps: dividing a waste polyester-cotton textile into fragments and dispersing in an aqueous solution system of the organic acid catalyst to obtain a mixed system; in a high-pressure reactor, heating the mixed system to 110&#x2dc;180&#xb0; C. so that cotton fibers in the waste polyester-cotton textile undergo a degradation reaction for 0.5&#x2dc;3 h to obtain a mixture; and filtering the mixture by a sieve, washing to obtain a polyester fiber aggregate, and then filtering the remaining portion by a filtration membrane in vacuum so as to obtain cotton fiber fragments after washing. Embodiments of the present disclosure may provide advantages for the separation, recycling and reuse of waste polyester-cotton textiles. For example, the catalyst used during processing is derived from nature and is biodegradable.

Method for separating and recycling a waste polyester-cotton textile by means of a hydrothermal reaction catalyzed by an organic acid

A method for summarizing text with sentence extraction including steps as follows. Sentences are extracted from a document including text by a natural language processing (NLP) based feature extractor. A word vector set with respect to each of the sentences is generated by a processor. The word vector set with respect to each of the sentences is used to generate a n-grams vector set and a phrase-n vector set with respect to each of the sentences. A word score representing similarity between the word vector sets, a n-grams score representing similarity between the n-grams vector sets, and a phrase-n score representing similarity between the phrase-n vector sets are computed. The word, n-grams, and phrase-n scores are combined to compute an edge score. Text features are selected from the sentences using the edge scores of the sentences, so as to output a summary of the document.

Method of summarizing text with sentence extraction

A method for applying image encoding recognition in the execution of natural language processing (NLP) tasks, comprising the processing steps as follows. A sentence from a textual source is extracted by an NLP-based feature extractor. A word vector is generated in response to the sentence by the NLP-based feature extractor. The word vector is converted into a feature vector {right arrow over (b)} by the NLP-based feature extractor, in which the feature vector {right arrow over (b)} satisfies {right arrow over (b)}&#x2208;and the parameter m is a positive integer. The feature vector is transformed into an image set having a plurality of two-dimensional images by a transformer. The image set is fed to a neural network to execute image recognition by a processor, so as to analyze the sentence.

Apparatus and method for applying image encoding recognition in natural language processing

Provided herein is a method for decolorizing textile materials under hydrothermal conditions using dye adsorbent materials. The process is non-toxic and environmentally friendly, and the adsorbent materials can be repeatedly used. The textile materials are textile materials dyeable with disperse dyes. Further provided is a system for decolorizing textile materials. The decolorization system is designed to allow the adsorbent materials to react with the textile materials in a contact manner and a non-contact manner.

Methods and systems for decolorizing textile materials

A method for annotating a batch of original samples is provided. A first subset of original samples, selected from the batch and determined by minimizing an entropy-mean difference between the first subset and the batch, is used for human annotation to yield human-annotated samples. The human-annotated samples are used as training data to configure an annotation process for annotating an input sample to yield an annotated output sample, and a check process for verifying annotation accuracy of the annotated output sample. Remaining original samples in the hatch are processed by the annotation process to yield machine-annotated samples, whose accuracy is verified by the check process. In one embodiment, part of the original samples corresponding to erroneous machine-annotated samples are selected for human annotation. Resultant additional human-annotated samples are used to update the two processes. The remaining original samples not yet annotated are then processed by the two processes.

Efficient annotation of large sample group

A method for recognizing and extracting named entities in a natural language input text processing comprising: performing, by a compressed named entities recognition (NER)-model-based named entity recognizer, a first stage NER on the input text to generate a first stage determination of whether at least one named entity exists in the input text; if the first stage NER determines no named entity exists in the input text, performing, by a rule based named entity recognizer, a second stage NER on the input text to generate a second stage NER result; if the first stage NER determines at least one named entity exists in the input text, generating, by the compressed NER-model-based named entity recognizer, a first stage NER result; and integrating, by a NER result integrator, the first stage NER result and the second stage NER result to generate a final NER result.

Efficient and accurate named entity recognition method and apparatus

Methods and systems which provide super-resolution synthesis based on weighted results from a random forest classifier are described. Embodiments apply a trained random forest classifier to low-resolution patches generated from the low-resolution input image to classify the low-resolution input patches. As each low-resolution patch is fed into the random forest classifier, each decision tree in the random forest classifier 'votes' for a particular class for each of the low-resolution patches. Each class is associated with a projection matrix. The projection matrices output by the decision trees are combined by a weighted average to calculate an overall projection matrix corresponding to the random forest classifier output, which is used to calculate a high-resolution patch for each low-resolution patch. The high-resolution patches are combined to generate a synthesized high-resolution image corresponding to the low-resolution input image.

Systems and methods for super-resolution synthesis based on weighted results from a random forest classifier

A method for organizing and processing feature based data structures that can be used in linguistic spell checking and auto-correction, comprising: splitting an original dictionary into sub-dictionaries based on different values of a common feature such as high frequency words; receiving an input text that contains errors; determining a sub-dictionary selection feature from the input human-readable text; selecting the sub-dictionary based on the determined sub-dictionary selection feature; executing a first matching in the selected sub-dictionary, wherein a match is found if a similarity between the characters, words, or phrases in proximity of the errors in the input text and a character, word, or phrase in the sub-dictionary is above a threshold; if a unique match is found, the result is returned as an output to correct the errors; otherwise, executing a second matching with a raised threshold, and repeating the second matching until a unique match is found.

System and method for organizing and processing feature based data structures

A method for a vehicle management system with a perspective view camera generating perspective images of vehicles in a traffic direction, including performing an anti-perspective transform on the perspective images; separating each anti-perspective image into sub-images along one of a radial direction and a tangential direction relative to the traffic direction; determining a scale factor for each sub-image based upon measuring a scale of each vehicle at plural positions in one image using a frame difference method performing a scale transform for each sub-image using the corresponding scale factors for the sub-image; combining each of the scale transformed sub-images for each vehicle into corresponding enhanced anti-perspective images; performing vehicle detection for each vehicle based a combination of the enhanced anti-perspective images in which tracking is enhanced with an optimized detection box size range determined by the enhanced anti-perspective images; and performing vehicle tracking for each vehicle based on the combination of the enhanced anti-perspective images in which detecting is enhanced with the optimized detection box size range determined by the enhanced anti-perspective images.

Vehicle detection, tracking and localization based on enhanced anti-perspective transformation

Provided herein are magnetic silica fluorescent nanoparticles and fluorescent silica nanoparticles comprising an aggregation induced emission luminogen and magnetite nanoparticles and use of the same as a fluorescent bioprobe for intracellular imaging and a protein carrier. Also provided are processes for preparing and fabricating the same.

Silica nanoparticles with aggregation induced emission characteristics as fluorescent bioprobe for intracellular imaging and protein carrier

Provided herein are a luminogen compound of formula (I) including a AIE luminophore moiety conjugated with a maleimide moiety and a use of the same for detecting thiol groups in biomolecules. Also provided is a dye molecule, a biosensor or a bioprobe comprising the luminogen compound of formula (I) in use for detecting thiol groups in biomolecules. The detection method of the present subject matter not only has high thio-selectivity and sensitivity, but also is rapid, convenient and handy.

Luminogen compounds and the use of the same for biosensing and cellular imaging

Metal oxide nanowires are being investigated to make nanodevices and nanosensors. High operation temperatures or vacuum is required in the manufacturing of metal oxide nanowires by existing vapor phase evaporation methods. This invention provides a method of manufacturing metal oxide nanowires by first providing a metal to form a non-linear substantially planar structure defining a surface. The metal is then heated and maintained at a temperature from 300 to 800&#xb0; C., and then exposed to oxygen and water vapor containing air stream for a sufficient period of time to form the metal oxide nanowires. The oxygen containing air stream flows in a direction substantially parallel to the plane of the structure. Relatively low temperatures may be used and no vacuum is required in this method, thereby reducing the overall manufacturing costs. Further, this method is able to manufacture different densities of the metal oxide nanowires simultaneously.

Methods of manufacturing metal oxide nanowires

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Hong Kong, China

Yang Liu