The truth discovery problem involves identifying the truth associated with objects from observations, which is crucial in health recommendation systems. While many methods effectively calculate the truth from multiple data sources, few address the challenges posed by dynamically generated data. In dynamic environments, data continually arrive and require processing in time due to the limited memory of health monitoring devices. In this paper, we propose a novel approach to discovering truths for health recommendation systems that uses time-series analysis methods to mine the evolutionary patterns of truths and account for potential similarities between objects. Our approach efficiently manages dynamic data without compromising estimation accuracy. We evaluate the performance of our proposed framework on two real-world datasets and a synthetic dataset, demonstrating its superiority over state-of-the-art methods in terms of estimation accuracy and efficiency. This approach has great potential to advance the development of more accurate and personalized health recommendation systems.
As one of the candidates in the Generation IV reactors program., the molten salt reactor (MSR) has the properties of online refueling and fuel salt reprocessing, MSR is especially attractive for the Thorium fuel cycle, which is very ideal for nuclear non-proliferation, radiotoxicity and nuclear energy sustainability. Therefore, the “Thorium-based Molten Salt Reactor (TMSR) nuclear system” project has been proposed as one of the “Strategic Priority Research Program” of Chinese Academy of Science (CAS). In this paper, we mainly investigated the influence on the breeding ratio and waste radiotoxicity with different reprocessing schemes. By considering the key parameters mentioned above, the aim is to choose an efficient reprocessing scheme for TMSR to reach self-breeding with Th/U fuel cycle and minimize the radioactive waste production of the molten salt.
Recently, some progress has been made in anomaly detection for data streams. However, these methods still exhibit deficiencies in effectively balancing computational efficiency and detection accuracy. In this paper, we propose a novel anomaly detection method called Dynamic Window Anomaly Detection based on Local Density of Vector dot Product (DWAD-LDVP) for data streams. DWAD-LDVP uses an adaptive dynamic sliding window mechanism with a verification model to balance the relationship between computational efficiency and detection accuracy. By converting local density values measured by the vector dot product into outlier scores, DWAD-LDVP can improve the accuracy of anomaly detection compared to SOTA methods. Furthermore, an incremental computation module is adopted to process data streams efficiently, thereby reducing unnecessary computational overhead. Simulation experiments on synthetic data and real-world datasets validate the robustness and superior performance of the proposed DWAD-LDVP method. Specifically, the experimental results indicate that the proposed DWAD-LDVP achieves competitive performance measured by accuracy, precision, recall, F1 score, and ROC AUC, confirming its effectiveness in anomaly detection tasks.
A numerical simulation program for the dynamic distribution of krypton and xenon with flow and on-line removal function was established for primary loop system of molten salt reactor(MSR) Based on Mathe-matica7.0.The simulation results of the static burnup was compared with ORIGEN-S program, and the deviation is less than 10%, which is in good agreement.The distribution and dynamic characteristics of krypton and xenon in the primary loop system were analyzed under the flow regionalization and online removal model.The results show that,the static burnup model underestimates the total 135 Xe activity about 6.61% in the system, and the total activity of krypton and xenon in the system is underestimated by about 1.46%.Under the maximum removal fraction, the total activity of krypton and xenon in the exhaust gas system is 1.84×10 16 Bq, of which 83 m Kr, 85 m Kr, 87 Kr, 88 Kr, 133 Xe, 135 Xe and 138 Xe account for about 95.6%.The total activity of krypton and xenon in the primary loop system is 2.64×10 14 Bq, of which 138 Xe, 135 m Xe, 134 m Xe, 87 Kr and 83 m Kr account for about 93.6%.The numerical simulation method and the conclusion consistent with the actual physical laws.Dynamic distribution, evolution and migration characteristics of krypton, xenon and these precursor in the primary loop in the molten salt can be simulated more accurately compared to static burnup model.The analysis results can provide a theoretical basis for the management scheme of airborne source termsthe cooling design of the radioactive exhaust system and the source term analysis in accident conditions for the molten salt reactor.
We consider a joint routing and scheduling scheme for data collection in wireless sensor networks leveraging compressive sensing under the protocol interference model. We propose the construction of a connected dominating set as a network backbone for efficient routing. A hybrid compressive sensing technique, which combines conventional and compressive data gathering schemes, is used to aggregate data over the backbone. Pipelined scheduling is developed for fast aggregation of compressed data over the backbone. We set the communication range of sensor nodes to an appropriate value to control the size of the backbone and demonstrate that the proposed scheme can achieve order-optimal latency for data gathering. We extend the proposed scheme to the physical interference model and show that comparable latency is achievable under physical interference model. In addition, the proposed scheme is shown to be energy-efficient, in that it can achieve order-optimal energy consumption given that the sensor data sparsity is of constant order. Simulation results show the effectiveness of the proposed scheme in terms of latency and energy consumption.
Conventional neutron targets in accelerator driven subcritical system (ADS) are based on the design using heavy metal like lead and lead-bismuth eutectic (LBE), which generally needs a separated loop for target cooling. In the thorium-based molten salt fast energy amplifier, an integrated target is conceived that the proton beam is directly placed in the chloride/fluoride molten salt core without a separated cooling loop for the target in consideration of the neutron productivity of the liquid molten salt fuel bombarded with the proton. The physical analysis of the spallation target is presented, including the spallation neutron yield, neutron spectrum, spallation products, and energy deposition. Chloride molten salt is a reasonable choice among four kinds of simulated target based on considering about the neutron yield, neutron spectrum, spallation products and energy deposition. The simulation code is the Monte Carlo code MCNP6.1. Besides, evaluation of the target size is presented, and two kinds of the beam tube layout are compared by considering the neutron economy in the system.
We jointly consider full-duplex operation and network coding in two-hop relay networks to enhance the throughput of the block transmission of packets over erasure channels. Two coded transmission schemes, termed Fewest Broadcast Packet First (FBPF) and Buffer Contents-based Coded Transmission (BCCT), are proposed, where random linear network coding is employed at the Base Station (BS) and the Relay Station (RS), respectively. Both schemes do not rely on users' Channel State Information (CSI), buffer status, channel parameters, etc., and hence are practically viable. We derive closed-form upper bounds on the throughput of both schemes. We prove that both schemes achieve the optimal throughput when the BS-to-RS channel is perfect. Through extensive simulations, we demonstrate that both schemes incur substantially higher throughput than the traditional uncoded Automatic Repeat-reQuest (ARQ) scheme and perform close to a general upper bound on the system throughput. Furthermore, even with imperfect Self-Interference Cancellation (SIC) at the full-duplex RS, our schemes are shown to be superior to state-of-the-art coded transmission schemes designed for half-duplex relay networks, given that the impact of imperfect SIC on the BS-to-RS channel quality is not high.
Beam shaping assembly (BSA) is a vital component in Boron Neutron Capture Therapy (BNCT) for obtaining epithermal neutron beams. Several feasible designs of BSA for accelerator-based BNCT (AB-BNCT) neutron source are carried out based on neutrons by bombarding a natural lithium target with 10 mA, 2.8 MeV proton beams. The calculation results demonstrate that a thickness of 45 cm is appropriate for general moderators referring to the therapeutic parameter of Advanced Depth (AD). A series of optimizations are performed and two results are confirmed: One is that employing the configuration of MgF2 and FLUENTAL combined by 1:1 could improve the therapeutic rate (TR) of tumors at a depth of middle region, and the other one is that the TR of superficial tumors can be increased by adding a 5 cm thick boron-11 secondary moderator at the end of general moderators. As a result, an innovative conception of an adjustable moderator is recommended to BNCT. Compared to the MgF2 moderator with a fixed thickness of 45 cm, the TR value can be improved by a maximum of 47.7 % by using the adjustable moderator. Furthermore, the configuration of adjustable moderator has been designed with regulation method for treating tumors of different depths.
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