4,832 research outputs found

    Thermodynamics of acetonitrile-hydrocarbon systems

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    Call number: LD2668 .T4 1968 H83Master of Scienc

    IS Per Capita Real GDP Stationary in China¡H Evidence Based on A Panel SURADF Approach

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    In this study we use newly developed Panel SURADF tests of the Breuer et al., (2001) to investigate the time-series properties of 25 Chinese provinces¡¦ per capita real GDP for the 1952-1998 period. While the other Panel-based unit root tests are joint tests of a unit root for all members of the panel and are incapable of determining the mix of I(0) and I(1) series in the panel setting, the Panel SURADF tests a separate unit-root null hypothesis for each individual panel member and, therefore identifies how many and which series in the panel are stationary processes. The empirical results indicate that for all the provinces studied per capita real GDP are non-stationary, except Hebei, Jeilongjiang, Qinghai and Shaanxi when Breuer et al.¡¦s (2001) Panel SURADF tests are conducted.Per Capita Real GDP Panel Unit Root Tests

    Dynamic Power Index Adjustment Based On Battery Level

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    This disclosure describes techniques for dynamic adjustment of output power index of a wireless remote controller device based on a detected battery level of the device. The battery voltage level of the device is periodically measured. When the level falls below a predetermined threshold, the output power index is adjusted to ensure that the total transmit power from the controller device lies within a specified range. Dynamic adjustment of transmit power via the power index adjustment enables the controller device to have a transmit power that lies between the power spectral distribution (PSD) target and the PSD limit (maximum) over a range of battery voltage values

    An NLoS-based Enhanced Sensing Method for MmWave Communication System

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    The millimeter-wave (mmWave)-based Wi-Fi sensing technology has recently attracted extensive attention since it provides a possibility to realize higher sensing accuracy. However, current works mainly concentrate on sensing scenarios where the line-of-sight (LoS) path exists, which significantly limits their applications. To address the problem, we propose an enhanced mmWave sensing algorithm in the 3D non-line-of-sight environment (mm3NLoS), aiming to sense the direction and distance of the target when the LoS path is weak or blocked. Specifically, we first adopt the directional beam to estimate the azimuth/elevation angle of arrival (AoA) and angle of departure (AoD) of the reflection path. Then, the distance of the related path is measured by the fine timing measurement protocol. Finally, we transform the AoA and AoD of the multiple non-line-of-sight (NLoS) paths into the direction vector and then obtain the information of targets based on the geometric relationship. The simulation results demonstrate that mm3NLoS can achieve a centimeter-level error with a 2m spacing. Compared to the prior work, it can significantly reduce the performance degradation under the NLoS condition

    DEXON: A Highly Scalable, Decentralized DAG-Based Consensus Algorithm

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    A blockchain system is a replicated state machine that must be fault tolerant. When designing a blockchain system, there is usually a trade-off between decentralization, scalability, and security. In this paper, we propose a novel blockchain system, DEXON, which achieves high scalability while remaining decentralized and robust in the real-world environment. We have two main contributions. First, we present a highly scalable sharding framework for blockchain. This framework takes an arbitrary number of single chains and transforms them into the \textit{blocklattice} data structure, enabling \textit{high scalability} and \textit{low transaction confirmation latency} with asymptotically optimal communication overhead. Second, we propose a single-chain protocol based on our novel verifiable random function and a new Byzantine agreement that achieves high decentralization and low latency
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