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Electronic medical record (EMR) system has become increasingly more important in developed countries due to its convenience and efficiency in medical information storage, management and analysis. However, one of the main limitations of EMR lies in that the clinical data for patients cannot be exchanged among different medical institutions. Recently, the cloud-based clinic system, featuring in lower...
A vision-based perception system for understanding the outdoor environment has been proposed. This system utilizes and applies the useful information from the binocular cameras of a legged robot for landform — terrain — ground environmental perception. The ground texture recognition can provide information about the material of the ground then a legged robot can choose an appropriate walking pose...
This paper presents an integrated articulated steering vehicle's (ASV) dynamics model, which provides a simulation platform for research on path tracking control of ASV. The active speed limiting control is designed according to the sideslip constraints to improve the lateral stability of the vehicle during path tracking. The weighted PID controller is applied to control the steering torque based...
In this paper, we present a design and control approach of a modular off-board actuation system with mono-articular hip exosuit, enabling the instantaneous assistive profile modification of magnitude, shape, and timing. The off-board system consists an actuation unit with two degrees of freedom that can transmit forces to our soft exosuit via Bowden cables. To perform accurate force tracking and cable...
The Separability and Thresholds (SEaTH) algorithm calculates the the SEparability and the corresponding THresholds of object classes for any number of given features. However, it is applicable only to the normally distributed training data. To cope with the problem, The Classification And Regression Tree (CART) coupled with SEaTH for object-based classification approach is proposed in the paper. The...
This paper focuses on the loss analysis and optimized design of DC-DC converter for battery module. By using the data measured from the experiment study of inductor loss and component datasheets to derive the inductor, MOSFET, and capacitor loss equations of bidirectional buck converter, boost converter, and buck-boost converter through numerical analysis. In addition, the charging and discharging...
This paper mainly presented a system which can make a prediction to the distribution transformer's load status in smart grid. Since the operation of distribution transformer's load status is generally in the post processing stage at the current stage, lacking forecasting work on distribution transformer's operation and load status. Given the issues above, to reduce costs, ensure the security of power...
Electronic medical record (EMR) system is more beneficial than a paper record in managing and maintaining the medical history of the patient. In China, EMR has been mainly utilized in urban general hospitals, while being considerably underdeveloped among the primary care medical providers such as local clinics and community hospitals, which accounts for over 93% of all medical institutions in China...
Population genetics studies the genetic basis of evolution in a quantitative manner. The Hardy-Weinberg Principle is one of the simplest and most important principles in population genetics. Physical models are generally applied in laboratory of evolution to simulate the Hardy-Weinberg equilibrium, which are often time consuming and error prone. Here, we presented a computer simulation program to...
In this study a novel electronic health information system that integrates the functions of medical recording, reporting and data utilization is presented. The goal of this application is to provide synchronized operation and auto-generated reports to improve the efficiency and accuracy for physicians working at regional clinics and health centers in China, where paper record is the dominant way for...
This paper proposes a model-based method to quantitatively measure baroreflex sensitivity in autonomic nervous regulation of cardiovascular system. The method measures the continuous blood pressure and heart rate in orthostatic scenario, models dynamics of the baroreflex firing rate, solves parameters by optimization of measured blood pressure and heart rate variations. With this model, we can get...
The study of flood detection is significant to human life and social economy. In this paper, a completely unsupervised flood detection approach is presented, which combines spatio-temporal context and histogram thresholding. A global thresholding algorithm can be used in most of the cases to distinguish flood from non-flood pixels, but it may not distinguish local grey-level changes when the method...
Monitoring snow distribution area plays an important role in researching climate change and energy exchange process. Chinese small satellite constellation (abbreviated HJ constellation) is special for environment and disaster continuously monitoring or forecasting. By using HJ-1B CCD and infrared data or only using its infrared data, it can construct NDSI (Normalized Difference Snow Index) or MNDSI...
Road traffic volume monitoring plays an important role in transportation planning and spatial development, particularly in urban areas. The high-resolution satellite imagery provides a new data source to detect vehicles. Meanwhile, Satellite image covers large areas instantaneously, providing a possibility for snapshotting road traffic conditions. In this paper, we proposed an approach based on watershed...
Compared with the single remote sensing image, the time series images provide more information of ground objects, which can greatly improve the clustering accuracy. But time series clustering also has many difficulties, such as the impacts of cloud and other sharp noise. The sharp noise impacts time series clustering by affecting the calculation of the similarity measure of sequences. Therefore, this...
With the development of car industry, the number of vehicles traveling on the roads is ever increasing, leading to traffic congestion problem which causes air pollution, driver frustration and meaningless fuel consumption. Excellent navigation algorithm is urgently needed and some solutions have been put forward to tackle the problem. However, existing studies are mostly devised for static networks...
Path planning is one of the most studied problems in the field of robotics, unmanned aerial vehicles (uavs), vehicle navigation and fields like these. The majority algorithms of path planning produce possible paths of grid graph, and then apply in problems such as classical graph route searching. Astar algorithm, Hierarchical Path-Finding A-star (HPA*) and Jump Point Search (JPS) algorithms are studied...
Quantitative measures of autonomic regulation of cardiovascular system have clinical and prognostic value in a variety of cardiovascular diseases. This paper proposes a model-based method in the measurement of baroreflex sensitivity, sympathetic and parasympathetic activity. The method measures the continuous blood pressure and heart rate in orthostatic scenario, models the baroreflex and sympathetic...
A high-quality label layout is critical for effective information understanding and consumption. Existing labeling methods fail to help users quickly gain an overview of visualized data when the number of labels is large. Visual clutter is a major challenge preventing these methods from being applied to real-world applications. To address this, we propose a context-aware label layout that can measure...
Automatic and accurate parcellation of cortical surfaces into anatomically and functionally meaningful regions is of fundamental importance in brain mapping. In this paper, we propose a new method leveraging random forests and graph cuts methods to parcellate cortical surfaces into a set of gyral-based regions, using multiple surface atlases with manual labels by experts. Specifically, our method...
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