No abstract

No abstract

No abstract

Convolutional neural network (CNN), a well-known machine learning algorithm, has been widely used in the field of computer vision for its amazing performance in image classification. With the rapid growth of applications based on CNN, various acceleration schemes have been proposed on FPGA, GPU and ASIC. In the implementation of these specific hardware accelerations, the most challenging part is the implementation of 2D convolution. To obtain a more efficient design of 2D convolution in CNN, this paper proposes a novel technique, singular value decomposition approximation (SVDA) to reduce the usage of resources. Experimental results show that the proposed SVDA hardware implementation can achieve a reduction in resources in the range of 14.46% to 37.8%, while the loss of classification accuracy is less than 1%.

FPG with insertion of a large-bore balloon-retained catheter using a modified gastropexy technique is a safe and effective method that creates a feeding access for patients with head and neck tumors and esophageal obstruction. Minor complications can be managed conservatively. FPG may be a good alternative to surgical or percutaneous endoscopic gastrostomy.

The results of an ongoing five-year study of percutaneous transluminal angioplasty for the treatment of peripheral vascular disease are presented. A balloon catheter was used for iliac and superficial femoral and popliteal artery dilatation. Forty out of 43 procedures performed were considered to have initial success, with iliac angioplasty showing a greater success rate (96%) than superficial femoral angioplasty (90%). Complications requiring surgical intervention occurred in only 3 patients. Advantages of this technique include local anesthesia, early ambulation, reduced hospital stay, and reproducibility.

Four patients with typical renovascular hypertension due to atherosclerotic stenosis (3 patients) and near occlusion (one patient) were treated with percutaneous transluminal angioplasty (PTA). Two patients had malignant hypertension by clinical standards. All had significant reduction in blood pressure following angioplasty, resulting in either a normotensive state, or management with significantly less antihypertensive medication. Patency and normal renin levels were achieved within two months in 2 patients. Clinical follow-up documented continued reduction in blood pressure. Advantages of the procedure include local anesthesia, relatively little discomfort, repeatability, and the fact that surgery is not precluded if angioplasty is unsuccessful.

Acceleration-based displacement measurement approach is often used to measure the polish rod displacement in the oilfield pumping well. Random noises and trend terms of the accelerometer signals are the main factors that affect the measuring accuracy. In this paper, an efficient online learning algorithm is proposed to improve the measurement precision of polish rod displacement in the oilfield pumping well. To remove the random noises and eliminate the trend term of accelerometer signals, the ARIMA model and its parameters are firstly derived by using the obtained data of time series of acceleration sensor signals. Secondly, the period of the accelerometer signals is estimated through the Rife-Jane frequency estimation approach based on Fast Fourier Transform. With the obtained model and parameters, the random noises are removed by employing the Kalman filtering algorithm. The quadratic integration of the period is calculated to obtain the polish rod displacement. Moreover, the windowed recursive least squares algorithm is implemented to eliminate the trend terms. The simulation results demonstrate that the proposed online learning algorithm is able to remove the random noises and trend terms effectively and greatly improves the measurement accuracy of the displacement.