AASRI Procedia最新文献

Energy efficiency of DC distribution systems is researched in this paper. Efficiency calculation models of feeders and loads are established, efficiencies of AC/DC, DC/DC and DC/AC are analyzed. Moreover, energy efficiencies of an AC system and two DC systems, monopole and bipolar, are calculated and compared. The efficiency improvement of office building supplied by DC power system compared to supply by AC power system is demonstrated. From analysis, it is showed that the energy efficiency is higher in DC distribution system than AC distribution system.

An n-channel MOS transistor (nMOST) no matter what low or high voltage processes are often used in I/O pads as ESD protection components. However, the contact spiking is a common caused leakage problems which deeply affect the ESD reliability capability of protection devices. Therefore, in this work, we proposed systematic experiments on the drain side: by adding an n-type Well (nWell) structure in the drain area for 0.25-μm low voltage (LV)/ high voltage (HV) processes. After measurement and analysis, it is found that for this LV process adding the nWell in drain side is bad for the I_t2 robustness of ESD capability, such as the lowest ESD capability condition (S= 9-μm) as compared with the reference group (none with the nWell) is decreased up to 42%, so in the ESD protection application should be avoided to add this structure; in the same token adding the nWell structure in the drain side of an HV nLDMOS, it was found that can expand an ESD current conduction cross-sectional area, which will not dissipate a lot of heat on the surface of the device led to burn, and then enhancing the ESD capability. Meanwhile, the ESD capability of a DUT with S= 9-μm as compared with the reference group (none with the nWell) is increased up to 8%, so adding an nWell structure in the drain side is good for ESD capability (I_t2 value) of HV MOS devices.

This paper proposes a fast search algorithm for vector quantization (VQ) based on a binary search space (BSS-VQ). The trade-off and learning aspects (TLA) were used to enhance the line spectrum pair (LSP) encoder of the G.729 standard. In the trade-off aspect, a slight loss occurred in the quantization quality; however, substantial computational savings were achieved. In the learning aspect, the binary search space was developed using he learning process, which uses full search VQ (FSVQ) as an inferred function. In the experiment, computational savings of 86.19% and a quantization accuracy of 98.15% were achieved, which confirmed the excellent performance of the BSS-VQ approach.

PCA is a useful statistical technique that has found application in fields such as face recognition, image compression, dimensionality reduction, Computer System performance analysis etc. It is a common technique for finding patterns in data of high dimension. In this paper, we present the basic idea of principal component analysis as a general approach that extends to various popular data analysis techniques. We state the mathematical theory behind PCA and focus on monitoring system performance using the PCA algorithm. Next, an Eigen value-Eigenvector dynamics is elaborated which aims to reduce the computational cost of the experiment. The Mathematical theory is explored and validated. For the purpose of illustration we present the algorithmic implementation details and numerical examples over real time and synthetic datasets.

With the gradual depth exploit of residual oil in offshore oilfield, RPM logging are using widely in reservoirs dynamic monitoring, the process of logging RPM affected by lithology, porosity, borehole fluid and other factors, so we must do some correction for it. But M oilfield has a special well structure of gravel pack, therefore, some correction made in domestic are not suitable for application in the offshore reservoirs of gravel pack, Thus author design parallelogram method to obtain water holdup and water saturation, by comparing the calculated results with the PLT data, it is found that the error in a controllable range, and also design volumetric model to corrected formation capture cross section, by using the corrected capture cross section establish model with lithology; electrical property, then compares it with the model which corrected before, it improves the model accuracy a lot. By comparing the water saturation which calculated by corrected capture cross section with and the water saturation which obtained by the PLT data interpretation, It is found that the accuracy increased more than 6%,it provides a new method to instruct the RPM data interpretation.

Electric Vehicle (EV) battery is large capacity, which is equivalent to two days of home power consumption, and cheaper than household battery. Therefore, it is important to utilize as home backup power to reduce home electricity charges. In this paper, we propose a new EV battery demand/response control method, which consists of three items; a new Electric Vehicle (EV) batteries ownership virtualization technique realized by “deposited power concept”, a huge virtual battery pool to enable charge/discharge at any time, and a genetic algorithm to control demand/supply of EV batteries. Center controller named EVNO (Energy Virtual Network Operator) has a huge virtual battery pool which is aggregated by “deposited power” of each EV, and controls demand/supply of each EV by the genetic algorithm. Since EVNO controls the deposited power among their EV batteries, EV users lose ownership of the deposited electric power in their EV batteries. At this time, EV owner does not use the electric power in his EV physically. The computer simulation result shows that the proposed method can reduce electricity charges by average 11%, and can reduce power demand curve by average 13% per day compared to conventional scheme under the real-time pricing (RTP).

This paper is based on mathematical and electrical modelling of living tissues and their electrical bioimpedance. Impedance is complex, dynamic, depends on frequency and changes with time. The equivalent electrical circuit of a tissue in the Fricke-Morse and Debye model as well as the electrical safety checks for medical devices and the standards for medical equipment and how to measure leakage currents are presented in this paper.

A magnetic microsystem has been designed on a chip to demonstrate the improved performance of an integrated Hall element. The major deficiencies of relatively poor performance of an integrated Hall element has been upgraded through the use of a high efficiency, integrated micro coil, which has been optimized using multiphysics finite element tools. An extensive characterization of the integrated Hall element has allowed the creation of the most complete simulation model, which is usable both in a high level system simulator as well as in a detailed circuit simulation. All results were verified by measuring the fabricated ASIC.

The intracranial space (ICS) is incompletely separated by the cerebral falx and the cerebellar tentorium into three compartments. To simulate brain herniation, defined as part of the brain shifting from one compartment to another, we proposed a simplified model of the supratentorial space (STS) based on computed tomographic (CT) images obtained from 50 subjects.

After identifying skull regions, we manually outlined the STS regions on CT slices. Pertinent dimensions of the STS and its openings were measured. The average volumes of the ICS and the STS were 1326 and 1154 mL. The average length, width and height of the STS were 154.7, 136.1, and 90.3 mm. The average length and height of the subfalcine space (SFS) were 85.8 and 52.1 mm, while the average length and width of midbrain were 37.9 and 30.9 mm.

Based on these data, we constructed a half sphere STS model with a diameter of 160 mm and a volume of 1072 mL. A 40 mm circle representing the tentorial incisura is removed from the center of its equatorial plane. This model is then divided into two compartments by its intact mid-sagittal plane, which had another 80 mm semicircle removed to simulate the SFS.

This study provides a method to mitigate the effect of packet loss and congestion for a real-time transport protocol (RTP) [1] for video streaming. The sequence number of the RTP [2] was used to detect packet loss such that retransmission [3] and flow control [4] [5] could be addressed. Retransmission ensures that an entire frame can be appropriately decoded. Users do not see the broken image, and do not waste bandwidth. Flow control addresses the rate of data transmission that is adjusted dependent on the available network bandwidth. Frames per second are reduced by low bandwidth, but an image can still be viewed appropriately, without a black screen or freeze-frame occurring.