Cochlear implant was traditionally equipped with one omni-microphone, and directional microphone has been applied in present papers and products. Microphone array based methods use space information to differentiate the desired signal and ambient noise. Delay value is an important parameter in beamforming, which determine the beam pattern. In the application of cochlear implant front-end signal acquisition,...
The initial alignment is a key technology for strapdown inertial navigation system (SINS), because the performance of the SINS is largely decided by the accuracy and rapidity of the alignment process. In this paper, a novel alignment method is developed by combining the quaternion Kalman filter with optimization-based alignment idea. The process model and measurement model of the proposed alignment...
The traditional field control of irrigation in the urban greening is often accompanied by some problems such as low irrigation efficiency, high labor costs and low precision. A set of intelligent monitoring system integrated with automatic irrigation and remote monitor is designed in order to solve these problems. The system is based on the Internet of things (IoT) technology which can be divided...
Because the high impedance fault signal is very weak, the zero sequence voltage of each bus and the zero sequence current of each feeder are synthetically selected as the research objects in this paper. The ensemble empirical mode decomposition(EEMD) algorithm without choosing any basis function is used to decompose the zero sequence voltage and current, and a set of better intrinsic mode functions(IMF)...
To improve the performance of the band-pass filter (BPF) and facilitate the adjustment, a novel 5G Wi-Fi BPF is designed in this article. The high-pass characteristic of half mode substrate integrated waveguide (HMSIW) and band-stop characteristic of modified complementary split ring resonator (MCSRR) are adopted in the BPF. In order to generate a notch wave, loading the spur line in the transition...
In order to improve the accuracy of lithium-ion battery pack state of charge estimation. Based on the study of Single cell, we study the SOC estimation method of battery series pack. Firstly, build a battery model considering hysteresis, Secondly, use the least squares method for idengtifying the unknown parameters and fitting the relationship between SOC and the open circuit voltage, then based on...
In this paper, a robot with a single camera is designed for the indoor environment. This robot which equipping Android mobile client contains MCU, camera and related sensors. The user can set the properties of the robot through the Android software. Also, the robot has a total of five different operating modes: obstacle avoidance mode, control mode, edge mode, the tracking mode and monitoring mode...
The trajectory tracking and vibration suppression problems of a flexible-base flexible-joint space manipulator with uncertain parameters are addressed. Dynamic equations of the manipulator are described as a linear function of a series of combined inertia parameters, and then the flexibility compensation technology and singular perturbation method are introduced to obtain the revised slow and fast...
Aiming at the problem that position measurement precision of relative position detection sensor is influenced by the fluctuation of suspension height, an approach to decouple the suspension height and displacement is proposed. Firstly, the relationship between the suspension height and output signals of sensor is founded, by analyzing the working principles and signal processing flow. And then, suspension...
In this paper, we propose a model based on the bag of mixed-gram terms to deal with sentiment classification task and extracting sentimental features. We obtain a very short-dimensional vector to represent sentiment and use the sentimental representations to complete the task of sentiment classification. Furthermore, since the sentimental representations and some traditional word vectors have complementary...
For the reason that the algorithm PFIM needs to scan database repeatedly, to produce a great deal of redundant candidate itemset, and to compute more time-complexity of frequent probability, an improved algorithm UPro-Eclat which is based on PFIM and Eclat is proposed. It uses a vertical mining method which is extension-based, adds probabilistic information in Tid, builds recursively the subset of...
The grouped structure has successfully been embedded in sparse models for feature selection; however, some groups generated by clustering method might be difficult to interpret their semantic information if the number of words in the group is very large. This paper proposes a novel approach in which a group structure is constructed and its corresponding sparse model is used to select features for...
When monitoring, controlling or optimizing complex processes, people try to forecast some concerned key indices, such as product quality. However, in practical applications, small sample size problem and data uncertainty affect the accuracy of forecasting. In this paper, a novel Index Forecasting algorithm is proposed called Uncertain Multi-Task Learning (UMTL), in which similar forecasting problems...
According to the principle of coordinate transformation, a calculation model of angle and distance truth is obtained by using photoelectric calibration device. The influence of the posture change of the ship and the measurement error of the equipment on the accuracy of the calibration system is analyzed, and the error calculation formula of the device distance and the angle truth is deduced based...
Pyroelectric infrared (PIR) sensor is widely used as motion detector, due to its sensitivity to the Infrared Radiation Changes (IRC) induced by human motion. In particular, by improving the space resolution and coverage of the PIR sensor, it's possible to determine the human activity patterns using IRC signal. In this paper, we present a novel method of fall detection with PIR sensor network. To improve...
In recent years, compressed sensing theory has been widely used in signal processing and image restoration. As an important part of compressed sensing, the performance of measurement matrix directly affects the efficiency and accuracy of image restoration. The common measurement matrix can not take a good balance between the two. By utilizing the linear representation theory of orthogonal basis, this...
The study of location of the electricity payment point in rural electric power business area is the key issue to solve th e "three rural issues", implement "One Belt and One Road", b uild a well-off society, while the big data environment provides a new research idea for the reasonable distribution of electricit y payment point. Taking residents' electricity payment record and...
The vehicle lane change decision is a greet challenge for autonomous driving in the dynamic traffic environment. This problem is a sequential decision problem with high dimensional and continuous state spaces. Traditional methods such as the rule-based method is difficult to solve such complex optimization decision problems. Recently, solving the problem by using the reinforcement learning method...
With the increase of highway traffic flow, the number of toll lanes of highway toll stations increased. The number of vehicles arriving at the toll stations varies at different times. When the traffic is less, opening all toll lanes will cause unnecessary costs. In this article, based on a certain degree of customers' satisfaction, we use the simulation software to study the minimum number of toll...
Highway toll square traffic capacity has always been the focus of attention. In this article, in order to reduce the construction costs and increase traffic efficiency, a new design of highway toll square has been proposed. The land cover and use efficiency is used to calculate the construction costs. Then, we compare the data obtained by simulation software, such as the vehicle throughput, the vehicle...