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Breast cancer is the most common type of invasive cancer in females. It accounts for 18.2% of all cancer deaths worldwide. Although somatic mutations play important roles in cancer development and prognosis, the outcome predictions are largely based on the expression of marker genes. We submit that developing an innovative prognostic model incorporating somatic mutations with gene expression can improve...
Pulmonary adenocarcinoma in situ (AIS) is an intermediate subtype of lung adenocarcinoma that exhibits non-invasive growth patterns, but can develop into invasive. Almost 100% of AIS patients can be cured with complete resection. In contrast, the five-year survival rate for those diagnosed with invasive lung adenocarcinoma is only about 4%. In order to get a better understanding of adenocarcinoma...
It is a common issue to remove undesirable objects during reconstruction. The holes left behind are then needed to be given plausible information for the integrity. To complete the missing part of a 3D map generated from stereo inputs, the task can be separated into two operations which are repairing the color image and the depth map. In this paper, we design and release a specialized stereo dataset...
Recently, with the obvious increasing number of cardiovascular disease, the automatic classification research of Electrocardiogram signals (ECG) has been playing a significantly important part in the clinical diagnosis of cardiovascular disease. In this paper, a 1D convolution neural network (CNN) based method is proposed to classify ECG signals. The proposed CNN model consists of five layers in addition...
This target detection and tracking system is the basis for rescue robots to achieve their independent search and rescue operations. In order to improve their mobile performance and sensing capability, the Kinect camera is employed by rescue robots to obtain environmental visual. The AKAZE(Accelerated-KAZE) feature matching algorithm is adopted to achieve target detection in video frames, combining...
RF technology is widely used in many fields. This study is based on the knowledge of RF circuit. It is aimed to design a wireless communication transceiver, which includes transmitter circuit, receiver circuit and communication antenna. In design process, we do not only consider the transmitter circuit and the receiver circuit indicators to meet the requirements of the module, but also ensure that...
Parallelization is the main method to improve efficiency for solving sparse linear equations. This paper summarized the computing dependency relations of power system off/on line analysis application types. Almost all kinds of numerical methods related to power system computation can be attributed to solving Ax =b (A is sparse), and the direct method based on the Gaussian elimination is used widely,...
For drug-resistant epilepsy patients, epilepsy surgery is the only option. In clinic, this is done with subdural electrode array with a disappointing low spatial resolution of ∼ 1cm. In order to improve clinical cure rate, ultrasound imaging technique can be cooperated with Electrocorticography to monitor the maps of seizure. We propose to develop the implanted single ultrasound transducers 3mm×1...
In this paper, an ultra-thin polarization-independent wideband metamaterial absorber (MA) is proposed. The unit cell of this MA is composed by a branch-like pattern with four patch-resistors, FR4 substrate and metallic plate, which can delicately combine dielectric loss and ohmic loss. The electromagnetic performances of the MA are studied by full-wave simulations based on finite-element method. The...
This paper proposes a novel unit commitment (UC) model under smart grid (SG) environment, which intends to strike a balance pursuing minimum carbon emissions for policy maker, minimum costs for generators and minimum payment bills for consumers. This leads to a multiobjective optimization problem (MOP) which can be solved through the multiobjective immune algorithm (MOIA). Therefore, the energy market...
Epilepsy is the third most commonly diagnosed neurological disorder. For drug-resistant patients, epilepsy surgery is the only option. The outcome of epilepsy surgery largely depends on an accurate mapping of epileptogenic zone. In clinic, this is done with subdural electrode array to monitor the Electrocorticography (ECoG) with a disappointing low spatial resolution of ∼ 1cm. As a result, the cure...
Traditional compressive sensing tracking algorithm has the problem that targets usually offset and loss when illumination changed strongly or the goals' scene scaling vary greatly. An improved compressive sensing tracking algorithm is proposed based on SURF feature points matching. Adopt Hessian matrix eigenvalue instead of the gray information feature in the original algorithm, and use SURF algorithm...
In order to solve the inconsistency of the battery pack in the traditional battery energy storage system, a new type of battery module energy storage system topology and control strategy based on flexible grouping is proposed——Modular Battery Energy Storage System Based on One integrated Primary multi-secondaries transformer. Different from commonly used full-power control mode, the part-power control...
Conventional reliability demonstration test based on statistical method is widely used in industry as it is simple and convenient to apply. But for the products with high reliability and long life, this test method fails to satisfy the demand for short cycle and low cost, and is liable to cause the phenomenon of over-test and short-test. This paper gives a step-stress accelerated sequential probability...
When clustering incomplete datasets, data on cluster border (border data) are more likely to be misclassified. Aiming at this problem, the proposed algorithm focuses on the re-classification of “suspected misclassified” border data (abbreviated as SM border data). Based on the preliminary clustering results of classical FCM-based algorithm for incomplete data and the KNN (k nearest neighbor) principle,...
This paper presents a novel carbon emission flow (CEF) model to assess and analyze the carbon emission of each component in power networks. Through the use of information about CEF, demand side management (DSM) and supply side management (SSM) are combined to reduce the emission. Three levels of load curtailment and three strategies of renewable energy sources (RES) utilization are proposed. The IEEE...
This paper empirically estimates the impact of sustainability development on the market value of the firm. We use a firm's receipt of a sustainability award as a proxy for its sustainability development effectiveness. Based on data from 398 announcements of sustainability awards given to the firms during the period 2010–2015, the evidence suggests that, on average, the stock market reaction to sustainability...
NAT gateway is an important network system in today's IPv4 network when translating a private IPv4 address to a public address. However, traditional NAT system based on Linux Netfilter cannot achieve high network throughput to meet modern requirements such as data centers. To address this challenge, we improve the network performance of NAT system by three ways. First, we leverage DPDK to enable polling...
In order to improve the autonomous motion capability of the mobile robot, we have come up with a method of avoiding obstacles based on the Beidou and laser radar. First, we can get the information of the mobile robot's current position, heading direction and speed by the Beidou differential positioning, and then obtain the relative position between the robot and the target by positioning target point...
Depth information affects greatly the accuracy of image measurement, 3D reconstruction and image recognition. In general, the methods of obtaining depth information are from 3D laser scanners, structured light, and depth cameras. The traditional method using binocular camera to obtain the depth information of images is based on the disparity between the left and right views, but it also brings some...
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