The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Ultrasonic perfusion imaging requires high sensitivity to slow disorganized blood-flow patterns while simultaneously rejecting clutter and noise. We achieve high sensitivity to both vascular flow and perfusion without contrast enhancement by adopting the following sampling pattern. Doppler pulses sampled at 1 kHz were acquired to form a Doppler frame. Frames were recorded at 10 Hz over 10 seconds...
Electromechanical wave imaging (EWI) is an ultrasound-based methodology that can map the electromechanical activation of the heart at high temporal resolution. Previous reports have shown strong correlation between EWI-based and electrical activation times. However, EWI has been performed only with 2D echocardiography, which cannot map the full cardiac volume in a single heartbeat. Our objective in...
We present a fully-populated 8×8 2D-phased array, capable of emitting directed air-coupled ultrasound at 40 kHz with λ/2-pitch size for zero grating lobes. In comparison to our previous work, in which we describe a 1D-phased array, we use 3D-printing to realize the wave guide structure. Besides the key idea to separate the vibrating from the acoustic aperture, the 3D-printing approach allows implementing...
Recent development of Non-Volatile Memories (NVMs) has opened up a new horizon for in-memory computing. By re-purposing memory structures, certain NVMs have been shown to have in-situ analog computation capability. For example, resistive memories (ReRAMs) store the data in the form of resistance of titanium oxides, and by injecting voltage into the word line and sensing the resultant current on the...
The growing prominence and computational challenges imposed by Deep Neural Networks (DNNs) has fueled the design of specialized accelerator architectures and associated dataflows to improve their implementation efficiency. Each of these solutions serve as a datapoint on the throughput vs. energy trade-offs for a given DNN and a set of architectural constraints. In this paper, we set out to explore...
A novel ultrasound (US) platform with high channels density that offers flexibility, precision and open access is a pre-requisite to open new frontiers in diagnostic and/or therapy by experimental implementation of new enabled advanced techniques: dual-mode US imaging/therapies in the heart, new approaches to study the myocardial tissue (structure/characterization), fast sparse array strategies, multi-line...
Based on the linear relationship of channel data between synthetic transmit aperture (STA) and apodized plane wave (PW) firing, we previously proposed compressed sensing (CS) based STA (CS-STA) for linear array (Liu et al, IEEE TMI 2017), which achieves higher frame rate and higher contrast-to-noise ratio (CNR) than STA while maintaining its high resolution. Because diverging wave (DW) instead of...
This paper describes a system that provides the indoor location of an emergency 9-1-1 caller who uses a smart-phone while inside a large, multi-story building. The system consists of an Array of BlueTooth Low Energy (BLE) beacons and a Database that together provide the indoor location, and a Smartphone Application that obtains the location information and makes an IP-based call, including the indoor...
In our era, most of the communication between people is realized in the form of electronic messages and especially through smart mobile devices. As such, the written text exchanged suffers from bad use of punctuation, misspelling words, continuous chunk of several words without spaces, tables, internet addresses etc. which make traditional text analytics methods difficult or impossible to be applied...
The paper describes the concept of parallel graph processing system, which allows to develop architecture independent applications for processing large graphs. Also, the system allows the user to abstract from the implementation details of the graph storage format. This system can be used in such fast growing research fields as network science.
This paper presents a technique to increase the data throughput in Multiple Input Multiple Output (MIMO) systems. The technique uses a meta-heuristic to optimize the data throughput and to choose the best solution. The optimization is based on Genetic Algorithms (GA), with the objective of finding out the best antenna configuration to achieve the highest data throughput from the variation of the distance...
In this letter, a three-dimensional (3D) image reconstruction approach is proposed for terahertz (THz) holographic by a sharply reduced amount of antennas and frequency samples, without reducing the quality of the image reconstruction results. With the obtained 3D sparse random sampling data, a sparse recovery procedure combined by two-dimensional fast Gaussian gridding based non-uniform Fourier transform...
The accuracy of PV array model directly affects the output characteristics of the PV system. In this paper, a simplified engineering model for PV array is established and the influence on the output characteristics of PV array is analyzed when Rs, Rsh and α, β, γ change. According to the actual data of a PV power station, the shuffled frog leaping algorithm (SFLA) is adopted to identify the parameters...
The accuracy of PV array model is very important for grid connected operation and scheduling of large scale PV system. Based on the measured data of a PV power station, the hybrid artificial fish swarm and frog leaping algorithm is adopted to identify the unknown parameters in the mechanism model of PV array. The hybrid algorithm combines the advantages of the fast convergence of artificial fish swarm...
For a growing pool of data-intensive applications, data transfer, rather than processing speed, has emerged as the major bottleneck to performance and energy scalability. In this paper, we propose a novel interleaved logic-in-memory architecture, referred to as MISK, which leverages fine-grained integration of logic functions within dense, 2-D static random-access memory (SRAM) arrays for in-situ...
The photovoltaic (PV) array is one of the main components of the PV system, and the accuracy of the PV array model is directly related to the validity of the simulation results. The parameters of the PV array may change with the operation conditions. Therefore, it is important to identify the parameters of the PV array model according to the measured data. In this paper, the conventional four-parameter...
A novel multi-dimensional noise-shaping method is proposed to extend Δ-Σ modulation to the two-dimensional (2-D) (space, time) case. It uses spatial oversampling to provide another degree of freedom for ADC designers to shape quantization noise when temporal oversampling is limited. The method uses lossless discrete integrators (LDIs) to implement spatial integrators and is suitable for use in microwave...
A general methodology of device array mismatch characterization is introduced, analyzed and verified. Instead of measuring each device's parameter individually, the device array is configured as a data converter and the mismatch information is extracted from the differential linearity (DNL) of the converter. Systematic and random mismatch are characterized separately using the proposed decomposition...
Sparse multistatic array designs that are based on the effective aperture concept enable real-time and cost-effective 3D CW terahertz imaging solutions. However, reduced system costs or challenging imaging scenarios eventually require a violation of the Nyquist sampling criterion, which leads to the appearance of grating lobes in the terahertz image. We propose a method to suppress grating lobes by...
With the coming of ‘Big Data‘ era, high-energy-efficiency database is demanded for the Internet of things (IoT) application scenarios. The emerging Resistive Random Access Memory (RRAM) has been considered as an energy-efficient replacement of DRAM for next-generation main memory. In this paper, we propose an RRAM-based SQL query unit with process-in-memory characteristic. A storage structure for...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.