Lina Yu

Institute of Semiconductors, Chinese Academy of Sciences

Noise ubiquitously exists in signals due to numerous factors including physical, electronic, and environmental effects. Traditional methods of symbolic regression, such as genetic programming or deep learning models, aim to find the most fitting expressions for these signals. However, these methods often overlook the noise present in real-world dat...

Formulas are the language of communication between humans and nature. It is an important research topic of artificial intelligence to find expressions from observed data to reflect the relationship between each variable in the data, which is called a symbolic regression problem. The existing symbolic regression methods directly generate expressions...

Solving partial differential equations (PDEs) in Euclidean space with closed-form symbolic solutions has long been a dream for mathematicians. Inspired by deep learning, Physics-Informed Neural Networks (PINNs) have shown great promise in numerically solving PDEs. However, since PINNs essentially approximate solutions within the continuous function...

How to represent a human face pattern? While it is presented in a continuous way in human visual system, computers often store and process it in a discrete manner with 2D arrays of pixels. The authors attempt to learn a continuous surface representation for face image with explicit function. First, an explicit model (EmFace) for human face represen...

Symbolic regression (SR) is the process of finding an unknown mathematical expression given the input and output and has important applications in interpretable machine learning and knowledge discovery. The major difficulty of SR is that finding the expression structure is an NP-hard problem, which makes the entire process time-consuming. In this s...

Symbolic regression (SR) can be utilized to unveil the underlying mathematical expressions that describe a given set of observed data. At present, SR can be categorized into two methods: learning-from-scratch and learning-with-experience. Compared to learning-from-scratch, learning-with-experience yields results that are comparable to those of seve...

Implicit polynomial (IP) fitting is an effective method to quickly represent two-dimensional (2D) image boundary contour in the form of mathematical function. Under the same maximum degree, the fractional implicit polynomial (FIP) can express more curve details than IP and has obvious advantages for the representation of complex boundary contours....

Early prevention and detection of respiratory disease have attracted extensive attention due to the significant increase in people with respiratory issues. Restraining the spread and relieving the symptom of this disease is essential. However, the traditional auscultation technique demands a high-level medical skill, and computational respiratory s...

Implicit polynomials (IPs) are considered as a powerful tool for object curve fitting tasks due to their simplicity and fewer parameters. The traditional linear methods, such as 3L, MinVar, and MinMax, often achieve good performances in fitting simple objects, but usually work poorly or even fail to obtain closed curves of complex object contours....

An artistic line portrait robot can generate, process, and draw line portraits. Compared to real face images, line portraits lose some recognizable information. Maintaining recognizability during the process of expression edition of line portraits is an important challenge for artistic portrait robots. A recognizable expression line portrait synthe...

Time series appear in many scientific fields and are an important type of data. The use of time series analysis techniques is an essential means of discovering the knowledge hidden in this type of data. In recent years, many scholars have achieved fruitful results in the study of time series. A statistical analysis of 120,000 literatures published...

In order to improve the voice quality and decrease the power consumption of the audio electronic products, the noise reduction algorithm and its low‐power hardware implementation are studied. Several types of common noise reduction algorithms are analyzed and simulated, and the log‐minimum mean square error algorithm with statistical‐model‐based vo...

In this paper, we propose a novel method called transcendental equation solver (TES) for solving transcendental equations. The TES comprises a generator defined by a neural network and a discriminator defined by the mathematical expression of the transcendental equation. First, a large amount of random noise is input into the TES generator to gener...

How to represent a face pattern? While it is presented in a continuous way in our visual system, computers often store and process the face image in a discrete manner with 2D arrays of pixels. In this study, we attempt to learn a continuous representation for face images with explicit functions. First, we propose an explicit model (EmFace) for huma...

In this work, we propose an efficient joint Bayesian model that expanded with soft biometric traits for finger vein recognition, which is different from the existing mainstream finger vein recognition methods that extract features from the region of interest (ROI) of finger vein images. First, a two-branch convolutional neural networks (CNNs) is de...

In stereo matching tasks, the matching effect is often very poor when the texture of the region is weak or repeated. To solve this problem, an improved Graph Cut stereo matching algorithm based on Census transform is proposed. The Hamming distance of the corresponding pixels in the left and right images after Census transform is introduced as the s...

Different face regions have different contributions to recognition. Especially in the wild environment, the difference of contributions will be further amplified due to a lot of interference. Based on this, this paper proposes an attention-aware face recognition method based on a deep convolutional neural network and reinforcement learning. The pro...

Establishing mathematical models is a ubiquitous and effective method to understand the objective world. Due to the complex physiological structures and dynamic behaviors, the mathematical representation of the human face is an especially challenging task. In this paper, an explicit function called GmFace is proposed for face image representation i...

As a method of function approximation, polynomial fitting has always been the main research hotspot in mathematical modeling. In many disciplines such as computer, physics, biology, neural networks have been widely used, and most of the applications have been transformed into fitting problems using neural networks. One of the main reasons that neur...

Vital signs are a series of clinical measurements and important to health-related quality of life. To establish a method for self-monitoring and management of vital signs and diet, a self-monitoring method (SMM) including wireless body area network and mobile technology was proposed in this paper. The study population comprised a total of 180 parti...

Co‐training algorithm is one of the main methods of semi‐supervised learning in machine learning, which explores the effective information in unlabeled data by multi‐learner collaboration. Based on the development of co‐training algorithm, the research work in recent years was further summarized in this article. In particular, three main steps of r...

Modeling, prediction, and recognition tasks depend on the proper representation of the objective curves and surfaces. Polynomial functions have been proved to be a powerful tool for representing curves and surfaces. Until now, various methods have been used for polynomial fitting. With a recent boom in neural networks, researchers have attempted to...

Face images from different perspectives reduce the accuracy of face recognition, and the generation of frontal face images is an important research topic in the field of face recognition. To understand the development of frontal face generation models and grasp the current research hotspots and trends, existing methods based on 3D models, deep lear...

Establishing mathematical models is a ubiquitous and effective method to understand the objective world. Due to complex physiological structures and dynamic behaviors, mathematical representation of the human face is an especially challenging task. A mathematical model for face image representation called GmFace is proposed in the form of a multi-G...

Age is one of the most important biological characteristics of the human face. The increase of age coincides with the increase of the aging degree of the face. Face aging synthesis is attracting increasingly more attention from domestic and overseas scholars in the computer vision and computer graphics fields, and it can be integrated into the basi...

Radio-frequency identification (RFID) tag anticollision algorithm is a key technology that affects the performance of RFID systems. In dynamic arrival scenarios, when the tags arrive the reader’s interrogation zone, they cannot participate in the ongoing identification immediately, resulting in longer waiting time and tag miss. Focusing on solving...

A novel power-on-reset (POR) circuit with simple architecture, small values of capacitances, ultra-lower power consumption, and self-adjustable delay time of reset pulse for passive UHF RFID tags is presented in this paper. A proposed delay element was adopted for the features of small capacitances and wide power supply rise time range. An inverter...

The integration of temperature sensor (TS) and UHF RFID technology has attracted wide attention theoretically and experimentally. The architecture, power consumption, temperature measurement range, accuracy, and communication distance are key indicators of the performance of UHF RFID temperature sensor chip (RID-TSC). This work aims to provide a cl...

The identification of maize haploid seeds is a significant process in genetic research and modern maize breeding. Adopting near-infrared spectroscopy technology to distinguish haploid seeds from hybrid seeds has the advantages of being non-destructive, rapid and low cost. However, due to the influence of light, temperature, humidity, near-infrared...

The measurement of pig backfat thickness (PBFT) has to stand up to challenges with the reliability, accuracy, and convenience. Acquiring PBFT timely and precisely from a finite distance is extremely necessary to improve the process of pig production and implement effective management. In an attempt to alleviate these problems, an online handheld te...

The identification for haploid seeds is an important process in maize haploid breeding. Thanks to the diffuse transmission (DT) technology of near-infrared (NIR) spectroscopy, maize haploid seeds can be selected automatically using NIR spectrum features. However, the NIR spectra of maize seeds contain a large number of redundant features and noise...

Purpose To understand the health status and problems of left-behind children (LBC) in rural China, those whose parents have moved to urban areas without them, and to focus on ways to improve their physical and mental health. Methods The study examined 827 children between 7 and 15 years old, selected using stratified cluster random sampling from fi...

Vital signs are the indicators which evaluate the existence of health status and life quality. Hospitals may provide medical services for acute and chronic diseases and injuries. However, continuous monitoring and long-term treatment becomes difficult in such type diseases. In this paper, continuous vital signs monitoring system (CVSMS) based on wi...

Farm relaxation is a type of city tourism. Currently, this type of tourism has demonstrated a series of problems, including blind spots in the service channel, simple one-sided service content and passive service delivery. To address these issues, here the concept of “intelligent farm relaxation” was proposed. In addition, an intelligent farm manag...

Instant message has been a very popular application in recent years. To improve traditional instant message system, this paper proposes a system architecture combining C/S mode and P2P mode. The system consists of user registration, user login, remove-buddy, add-buddy, friend-info review, sending message, sending group message, and file transmissio...

In order to effectively implement sharing and integrated application of agricultural remote monitoring data, which is of distributed areas, various types, different systems and a large amount of data, across different areas, departments and systems, new networked framework is needed to be introduced to promote sharing of resources. In this paper, b...

The agricultural information resources is an important data assets, how to rationally plan, share and use of distributed storage of agricultural information resources, efficiently develop agricultural information resources, is the important issue of agricultural information resources needed to resolve. Based on the fully research on the current sta...

The increase of the amount of agricultural remote sensing monitoring data makes it difficult for data storage and management thereby limiting the utilization of data resources. Considering the security and response time, the original data cannot be directly exposed on the Internet for user queries. Therefore, there is an urgent need to organize and...

Data resources have the characteristics of heterogeneity and differentiation; with increasing demand and the development of the scale of application systems, data resources must be constantly enriched and expanded. The traditional data resource management model has been unable to meet users’ requirements of flexibility, timeliness and expansion in...

At present, massive amounts of data are distributed across different institutions, departments and scientific research institutes, and even at one site can be stored in heterogeneous storage systems. Therefore, it is hard to get the desired information from the massive data resource, which leads to the requirement of data sharing. In an effort to s...

This article uses lightweight J2EE tools based on B/S architecture to design an auto-generated paper management system. This system includes several modules, namely: user management, subject management, classification management, question entry, question management, paper generation, and paper management. The design process performs the analysis an...

To solve the problems of tedious key-press and poor interaction in current agricultural information voice service system, a method based on keywords recognition for agricultural information voice service system is proposed in this paper. It simplifies inquiry process and enhances interaction with customers by combining speech recognition and voice...

At present, there are many fake and shoddy agricultural products. This phenomenon has seriously affected the country's agricultural production, producers, and consumers. To ensure that a healthy development of our national agricultural economic order, the government spends a lot of human and financial resources on cracking down fake products every...

The paddy rice is one of the major crops in China and its planting areas increase year by year in Northeast China. In this study, a crop identification system in large scale based on two- phase classification using Remote Sensing (RS) is designed to do the rice identification. It includes the stratified sampling method to select the sample area usi...

A stored procedure is a set of SQL commands that has been compiled and stored on the database server. It is database object which often used in database management system and has characteristics of modularity, high efficiency, secure for access, reducing network traffic and CPU load. This paper analyzes the design of the common stored procedures an...

The wireless sensor network, which refers to the combination of sensors, embedded system, MEMS, distributed information processing and wireless communication network has become a hot topic in the research field because of its wide application prospect. This paper propose the design of an environmental monitoring system for valuable medicinal herb g...

On the basis of analyzing four types of message reply mechanism within SMS platform, this paper elaborates a design and pseudo code of the Agricultural Short-Message Intelligent Reply Module. The module adopted modularization programming and windows service technology, which can guarantee the characteristics of real-time, expansibility and high-rel...

Grid computing is a special kind of branch network computing which has important innovative ideas and great potential of development. It forms a large use of each other and co-operation high-performance computing network by interconnecting a number of computing resources, data resources of the wide area network as well as other equipments. Since gr...

The accuracy of RS classification based on SVM which is developed from statistical learning theory is high under small number of train samples, which results in satisfaction of classification on RS using SVM methods. The traditional RS classification method combines visual interpretation with computer classification. The accuracy of the RS classifi...

In this paper, an agricultural SMS (Short Message Service) management system is constructed based on a platform of GSM modem to send and receive short messages. The platform will create tables in database that store short messages and provide interface for agricultural short message management system. Users can send request of query to the platform...

In existed rural communication conditions, voice service system would solve the problem which the rural users cannot obtain useful and real-time information. This paper gives a design of rural voice service system, and discusses the system structure and layer division. This system realizes functions of self-organization inquiry process and real-tim...

On the base of studying and analyzing the Globus Toolkit2.4 platform and remote sensing technology, this article uses the grid platform Globus Toolkit2.4 and the mode of parallel processing, develops a method of geometric correction for processing remote sensing images based on grid. It provides an approach for solving problems caused by RS imageps...

Environmental protection is China's fourth most important social issue, after healthcare, employment and the income gap. Especially for power factories, they become highlights of all pollution resources. In China, an online bag filter automatic monitor system for primary pollution sources is implemented and adopted in Inner Mongolia. This paper int...

In this paper, an Integrated Farm Information Management System (IFIMS) is constructed through analyzing the mechanism and characteristics of Component GIS. On the basis of the B/S architecture, a development pattern that integrated Microsoft .NET platform and the component SuperMap is applied to the system according to the requirements of farm pro...

On the base of studying and analyzing the Globus Toolkit2.4 platform and remote sensing technology, this article uses the grid platform Globus Toolkit2.4 and the Bayesian classification to build a remote sensing image process method of supervised classification under the grid environment. This method can provide a preferred approach for the classif...

In this paper the adaptive feature selection model (AFSM) which is based on two layers, adaptive and multi-classes JM distance is studied. During the process of crop identification using remote sensing (RS) image classification, it is the effective way to improve the classification accuracy that the feature is proper treated. Firstly, with MODIS da...

This paper introduces techniques of OPC and multibus and gives an application of them which is based on Wincc(windows control centre) platform. The application has been using to integrate different kind of control systems together. The paper gives an example system, which is based on two layers, the Ethernet layer and Modbus layer. Based on the pla...

To support China's rural development and the growth of farmer incomes it is necessary to accelerate the development of agricultural information systems. The transaction characteristics of agricultural markets have been applied to the design of an online agricultural product transaction system. The aim has been to improve the systems available for p...