A Coherent Healthcare System with RDBMS, NoSQL and GIS Databases

With new database system development and new data types emerging, many applications are no longer using a monolithic, simple client/server structure, but using more than one types of database systems to store heterogeneous data. In this project, we exploit the benefits of combing Relational Database Management System (RDBMS) and NoSQL systems in the development of better Electronic Health Records (EHRs) and Clinical Decision Support Systems (CDSS). Specifically, MySQL, MongoDB, and GIS databases are integrated to improve EHR systems and to provide better clinical decision supports. The ACID (atomicity, consistency, isolation, durability) properties of the RDBMS ensure data integrity, database security, efficient SQL queries, easy data access, and effective transaction processing. MongoDB provides the system with clear internal data structure, easy scaling-out, fine-Tuning, and convenient mapping of application objects to the database objects. The GIS database allows vivid visualization of the geographic locations of patients, physician offices, and medical facilities. The integrations of these database systems in healthcare help application systems to comply with the EHR HIPAA requirements without compromising on scalability and performance

Adaptive 4D Volume Based Medical Imaging Analysis

Medical image processing is an exciting and dynamic part of computer vision and image processing techniques. The significant growth of applications in the past years, is evident in areas such as healthcare, radiotherapy technologies, and technical diagnostics, which are the developing areas. Medical imaging plays a vital role in acknowledging these features and helps in the assessment of the disease. Four-dimensional computed tomography is one of the most significant innovations represents the next step in medical imaging takes images that show both the location of a tumor and movement in the body. Besides, it reveals the movement other body organs with time. The prevalence of more developed imaging instruments characterized by high resolution and more refined output is one of the motivating factors is medical imaging. I will illustrate my work on the fiducial marker 3D localization by combining the use of kilovoltage (kV) image and Megavoltage (MV) image, and then describe the target tumor volume prediction based on four-dimensional computed tomography in image guided treatment system. Finally, I will introduce a tumor segmentation method and an approach to analyze the correlation between imaging phenotype and genomic information, by combing cancer patient image data and the associated gene expression

Rapid vehicle logo region detection based on information theory

Vehicle logo detection is an important task in intelligent transportation systems. In this paper, a novel method is proposed for detecting the vehicle logo in an image. Our method consists of three main steps. First, horizontal and vertical direction filters are applied to the original image to produce two new images. Then, a saliency map is generated from each image. Second, two clusters in the corresponding saliency map are formed to create a binary image. Finally, the vehicle logo is localized by searching the regions with the maximum useful information. Our method has two main contributions. One is that the vehicle logo can be detected rapidly without learning. The other is that our method is adaptable to different situations without adjusting the parameters. A series of experiments are performed on 970 images, which are captured from different real-time situations. Experimental results show that our method is also very fast and can achieve a high detection rate, which is suitable for real-time applications

Virtual Line Shafting-Based Total-Amount Coordinated Control of Multi-Motor Traction Power

This paper investigates a virtual line shafting-based total-amount coordinated control method of multi-motor traction power to solve the traffic safety problem caused by train traction power loss. This method considers the total amount instead of the synchronous control amongst single motors in a multi-motor control system. Firstly, a block diagram of the proposed method is built. Secondly, on the basis of this diagram, an accurate system model with parameter perturbations is constructed. Thirdly, a virtual controller is designed to quickly adjust the output torque of the virtual motor and to realise a tracking control of the reference torque. A total-amount coordinated control strategy based on the integral sliding mode is also designed to keep the total traction power of the multi-motor system constant under uncertain and unknown disturbances. Lyapunov stability theory is used to prove the system stability. The simulation and experiment results verify the effectiveness of the virtual controller and the total-amount coordinated control strategy in guaranteeing system robustness under disturbances and parameter perturbations

Fault-Tolerant Control of a Nonlinear System Actuator Fault Based on Sliding Mode Control

This paper presents a fault-tolerant control scheme for a class of nonlinear systems with actuator faults and unknown input disturbances. First, the sliding mode control law is designed based on the reaching law method. Then, in view of unpredictable state variables and unknown information in the control law, the original system is transformed into two subsystems through a coordinate transformation. One subsystem only has actuator faults, and the other subsystem has both actuator faults and disturbances. A sliding mode observer is designed for the two subsystems, respectively, and the equivalence principle of the sliding mode variable structure is used to realize the accurate reconstruction of the actuator faults and disturbances. Finally, the observation value and the reconstruction value are used to carry out an online adjustment to the designed sliding mode control law, and fault-tolerant control of the system is realized. The simulation results are presented to demonstrate the approach

Consistent Total Traction Torque-Oriented Coordinated Control of Multimotors with Input Saturation for Heavy-Haul Locomotives

In the coordinated control of multiple motors for heavy-haul locomotives, the input value for a motor often exceeds its maximum allowable input value, resulting in the saturation problem. A traction total-amount coordinated tracking control (TACTC) strategy is proposed to address the input saturation of heavy-haul locomotives driven by multiple motors. This strategy reduces control input and suppresses input saturation. First, a multimotor traction model with uncertain parameter perturbations and external disturbances was established. Next, a sliding-mode disturbance observer (SMDO) was designed to reduce the sliding-mode switching gain, thereby decreasing the control input. An auxiliary anti-windup (AW) system was used to weaken the effect of input saturation on tracking performance. Then, the observed value and auxiliary state were fed back to the sliding-mode controller to design a TACTC protocol and ensure that the total amount of traction torque follows the desired traction characteristic curve. Finally, the Matlab/Simulink simulation and RT-Lab semiphysical experiment results show that the proposed strategy can effectively suppress the input saturation problem of multimotor coordinated control