In this paper, we aim to design a deep reinforcement learning (DRL) based control solution navigating swarm of unmanned aerial vehicles (UAVs) fly around an unexplored target area under partial observation, which serves as Mobile Base Stations (MBSs) providing optimal communication coverage for the ground mobile users. To handle information loss caused by observability, introduce novel network architecture named Deep Recurrent Graph Network (DRGN), could obtain extra spatial through...

Cyclone Global Navigation Satellite System (CYGNSS) soil moisture (SM) product is characterized by high temporal resolution, but the relative strengths and weaknesses of this new are unknown. In study, we analyze performance CYGNSS SM across varied land covers climates, using triple collocation (TC) analysis in-situ validation. The Soil Moisture Active Passive (SMAP), Advanced Microwave Scanning Radiometer 2 (AMSR2) Land Parameter Retrieval Model (LPRM), European Space Agency Climate Change...

Supported precious-metal single-atom catalysts (PM SACs) have emerged as a new frontier of high-performance catalytic material with 100% atom utilization efficiency. However, the rational design such guidance from fundamental understandings structure-activity relationship remains challenging. Here, we report synthesis, characterizations, and mechanistic investigation various PM SACs supported on nanoceria for CH4 combustion. Using density functional theory, two descriptors d-band center PMs...

China’s domestic urban planning only worked on researches of space control, the scope definition development is not clear enough. The purpose this study to present a new growth boundary (UGB) delimitation method which combined land suitability evaluation (LSE) and cellular automata (CA). This gave credence LSE’s advantage in sustainable use, CA’s objective dynamic simulation. ecological limitation areas were defined by LSE, regarded as restricted growth; meanwhile, it was taken an important...

Graph Convolutional Neural Networks (GCNs) have emerged as promising tools for graph-based machine learning applications. Given that GCNs are both compute- and memory-intensive, this constitutes a major challenge the underlying hardware to efficiently process large-scale GCNs. In paper, we introduce SGCNAX, scalable GCN accelerator architecture high-performance energy-efficient acceleration of Unlike prior accelerators either employ limited loop optimization techniques, or determine design...

Clinical decision support system (CDSS) plays an essential role nowadays and CDSS for treatment provides clinicians with the clinical evidence of candidate prescriptions to assist them in making patient-specific decisions. Therefore, it is find a partition patients such that similar conditions are grouped together preferred different groups diverged. A comprehensive guideline often information patient partition. However, most diseases, not so detailed only limited circumstances covered. This...

The internal structure of urban construction land expansion (UCLE) is closely related to sustainability, and the UCLE in China’s port city has a unique pattern. This study attempted monitor evolution based on transfer data Ningbo’s central from 2002 2015. Equality fan analysis kernel density were applied characterize spatial–temporal dynamics different types summarize their patterns. results revealed that whole area, rank size intensity was: industrial > traffic residential public...

The recently released GPT-4 Code Interpreter has demonstrated remarkable proficiency in solving challenging math problems, primarily attributed to its ability seamlessly reason with natural language, generate code, execute and continue reasoning based on the execution output. In this paper, we present a method fine-tune open-source language models, enabling them use code for modeling deriving equations and, consequently, enhancing their mathematical abilities. We propose of generating novel...

In recent years, unmanned aerial vehicles (UAVs) have shown significant potential across diverse applications, drawing attention from both academia and industry. specific scenarios, UAVs are expected to achieve formation flying without relying on communication or external assistance. this context, our work focuses the classic leader-follower presents a learning-based UAV chasing control method that enables quadrotor autonomously chase highly maneuverable fixed-wing UAV. The proposed utilizes...

Hardware failures are a growing challenge for machine learning accelerators, many of which based on systolic arrays. When permanent hardware failure occurs in array, existing solutions include localizing and isolating the faulty processing element (PE), using redundant PE re-execution, or some extreme cases decommissioning entire accelerator further investigation. In this paper, we propose novel algorithmic approaches that mitigate faults neural network (NN) accelerators by uniquely...

Abstract In this letter, a structural analysis attack is explored as the first kind of to disclose secret key circuit encrypted by latest obfuscation technique JANUS‐HD. By extracting finite state machine (FSM) diagram from and converting traces into constraints, can be deduced CP‐SAT solver within few minutes or even seconds in most cases. Incorrect keys further pruned sequential equivalence checking with several oracles case more than one obtained. The entire procedure lasts no longer...

Highly dispersed metallic Pt catalysts with different particle sizes were synthesized and employed for C 3 H 6 combustion. Due to a balance of 0 under-coordinated atoms proportion, the 1% Pt-RD catalyst exhibits optimal catalytic activity.

Logic locking is an integrated circuits (ICs) protection technique that thwarts reverse engineering, IC overproduction, and IP piracy caused by untrusted foundry end-users. After Boolean Satisfiability (SAT) solver was applied to crack the keys, researchers proposed various defenses against SAT, approximate, removal attacks. The Valkyrie attack based on structural analysis has been recently presented breaks all existing combinational logic techniques. In this letter, we present Structural...

Knowledge graph embedding, which aims to learn the low-dimensional representations of entities and relationships, has attracted considerable research efforts recently. However, most knowledge embedding methods focus on structural relationships in fixed triples while ignoring temporal information. Currently, existing time-aware only factual plausibility, smoothness models interactions between a fact its contexts, thus can capture fine-granularity relationships. This leads limited performance...

In most existing studies on large-scale multi-agent coordination, the control methods aim to learn discrete policies for agents with finite choices. They rarely consider selecting actions directly from continuous action spaces provide more accurate control, which makes them unsuitable complex tasks. To solve issue due systems spaces, we propose a novel MARL coordination method that derives stable policies. By optimizing maximum entropy learning, improve their exploration in execution and...

Study patterns that models have learned has long been a focus of pattern recognition research. Explaining what are discovered from training data, and how generalized to unseen data instrumental understanding advancing the methods. Unfortunately, vast majority application domains deal with continuous (i.e. statistical in nature) out which extracted can not be formally defined. For example, image classification, there does exist principle definition for label cat or dog. Even natural language,...

In most existing studies on large-scale multi-agent coordination, the control methods aim to learn discrete policies for agents with finite choices. They rarely consider selecting actions directly from continuous action spaces provide more accurate control; therefore, they are normally unsuitable complex tasks. To solve issue of systems spaces, we propose a novel MARL coordination method named EHCAMA derive stable policies, by constructing new network architecture in an actor–critic...

Logic locking is an efficient defense against attacks to the intellectual property of integrated circuits. However, in recent years, boolean satisfaction based attack (SAT attack) and a structural named Valkyrie were proposed. As far as we know, most methods failed achieve security for both them keep acceptable overhead. In this paper, present self-adaptive striped-function logic method SFLL-AD, on repeatedly modifying structure encryption block form that: (1) permits splitting dispersing...