As an optimal one-dimensional reaction coordinate, the committor function not only describes the probability of a trajectory initiated at a phase space point first reaching the product state before reaching the reacta...
详细信息
We present an algorithm to solve the dispersive depth-averaged Serre-Green-Naghdi (SGN) equations using patch-based adaptive mesh refinement. These equations require adding additional higher derivative terms to the no...
详细信息
Leakage detection of water distribution networks (WDNs) plays a key role in water management. Current leakage detection methods mostly have high requirements for the installation of sensors in WDN. So, there needs an ...
详细信息
Leakage detection of water distribution networks (WDNs) plays a key role in water management. Current leakage detection methods mostly have high requirements for the installation of sensors in WDN. So, there needs an efficient and convenient method when dealing with a new WDN. In this article, a novel, timely, and accurate leakage detection model is proposed, called self-adaptive line segment clustering (SALICT), which only asks for flow measurement data of WDN, reducing the demand for sensors. The proposed method focuses on the identification phase of leakage detection to improve the sensitivity to leakage. To achieve this, SALICT efficiently fuses a density-based clustering analysis method and a line segment clustering model. Furthermore, a series of auxiliary decision functions are introduced and designed to adaptively select parameters, obtain cluster centers, and detect leakage data according to data distribution characteristics. Notably, the proposed method can detect leakages in real-time after learning from historical data. Besides that, the proposed method has the potential to be easily used in different types of WDN. Experimental results show that the proposed method can achieve a high leakage identification ratio and low false alarm ratio and has low time consumption in various water use scenarios.
In this paper, an off-policy model-free algorithm is presented for solving the cooperative optimal output regulation problem for linear discrete-time multi-agent systems. First, an adaptive distributed observer is des...
详细信息
With the standardization and commercialization of 5G, research on 6G technology has begun. In this paper, a new low-complexity soft-input-soft-output (SISO) adaptive detection algorithm for short CPM bursts is propose...
详细信息
With the standardization and commercialization of 5G, research on 6G technology has begun. In this paper, a new low-complexity soft-input-soft-output (SISO) adaptive detection algorithm for short CPM bursts is proposed for low-power, massive Internet of Things (IoT) connectivity in 6G. First, a time-invariant trellis is constructed on the basis of truncation in order to reduce the number of states. Then, adaptive channel estimators, recursive least squares (RLS), or least mean squares (LMS), are assigned to each hypothetical sequence by using the recursive structure of the trellis, and per-survivor processing (PSP) is used to improve the quality of channel estimation and reduce the number of searching paths. Then, the RLS adaptive symbol detector (RLS-ASD) and LMS adaptive symbol detector (LMS-ASD) could be acquired. Compared to using a least-squares estimator, the RLS-ASD avoids matrix inversion for the computation of branch metrics, while the LMS-ASD further reduces the steps in the RLS-ASD at the cost of performance. Lastly, a soft information iteration process is used to further improve performance via turbo equalization. Simulation results and analysis show that the RLS-ASD improves performance by about 1 dB compared to the state-of-the-art approach in time-variant environments while keeping a similar complexity. In addition, the LMS-ASD could further significantly reduce complexity with a power loss of approximately 1 dB. Thus, a flexible choice of detectors can achieve a trade-off of performance and complexity.
We study threshold testing, an elementary probing model with the goal to choose a large value out of n i.i.d. random variables. An algorithm can test each variable Xi once for some threshold ti, and the test returns b...
详细信息
In this paper, we introduce a variation of the group testing problem capturing the idea that a positive test requires a combination of multiple "types" of item. Specifically, we assume that there are multipl...
详细信息
This paper presents the hardware implementation of a stable wireless adaptive remote control point-to-point link, based on the nRF24L01+ PA/LNA transceiver module. On the transmitter and receiver side, a microcontroll...
详细信息
This paper presents the hardware implementation of a stable wireless adaptive remote control point-to-point link, based on the nRF24L01+ PA/LNA transceiver module. On the transmitter and receiver side, a microcontroller integrated circuit STM32F103C8T6 has been used to implement appropriate adaptive algorithms that enable a synchronized change of the communication channel in case of interferences. The link stability has been verified experimentally in real conditions, in the presence of random interferences. The presented experimental results show how interferences affect the stability and range of the presented communication link.
Missing values in real-world data pose a significant and unique challenge to algorithmic fairness. Different demographic groups may be unequally affected by missing data, and the standard procedure for handling missin...
详细信息
The gamma effect is a critical challenge of digital fringe projection systems. Most real-time correction methods usually require an iterative compensation process, making them more suitable for scenarios with less sev...
详细信息
暂无评论