3D open-world classification is a challenging yet essential task in dynamic and unstructured real-world scenarios, requiring both open-category open-pose recognition. To address these challenges, recent wisdom often takes sophisticated 2D pre-trained models to provide enriched stable representations. However, methods largely rely on how objects can be projected into space, which unfortunately not well solved, thus significantly limits their performance. Unlike present efforts, this paper we...

A new dynamic system is proposed and investigated for solving online simultaneous linear equations. Compared with the gradient-based recently Zhang system, can achieve superior convergence performance (i.e. finite-time convergence) thus called convergent system. In addition, upper bound of time derived analytically error being zero theoretically. Simulation results further indicate that much more efficient than existing systems.

In this letter, a new blind sensing method based on the Cholesky factorization of sample covariance matrix is presented for cognitive radios (CR). The proposed overcomes noise uncertainty problem energy detector (ED) and can also perform well without information about channel, primary signal power. Most importantly, unlike other detectors (including absolute value (CAV), maximum-minimum eigenvalue (MME), maximum trace (MET) detectors), decision threshold be determined using an exact...

LLMs now exhibit human-like skills in various fields, leading to worries about misuse. Thus, detecting generated text is crucial. However, passive detection methods are stuck domain specificity and limited adversarial robustness. To achieve reliable detection, a watermark-based method was proposed for white-box LLMs, allowing them embed watermarks during generation. The involves randomly dividing the model vocabulary obtain special list adjusting probability distribution promote selection of...

Signal-to-noise ratio (SNR) estimation is a fundamental task of spectrum management and data transmission. Existing methods for SNR usually suffer from significant errors when low. This paper proposes deep learning (DL) based algorithm using constellation diagrams. Since the diagrams exhibit different patterns at SNRs, proposed achieves via diagram recognition, which can be easily handled on DL. Three DL networks, AlexNet, InceptionV1, VGG16, are utilized estimation. Experimental results...

The reliability of the sealing system a proton exchange membrane fuel cell (PEMFC) is prerequisite for ensuring efficient and safe operation stack. In consideration actual assembly process, local model single‐cell structure constructed using rounded corner rectangular gasket structure. Apart from that, effects fluid pressure, bipolar plate offset, size, steady‐state temperature field, seal on performance PEMFC are investigated. As shown by results, with increase pressure width, contact...

The following topics are dealt with: radio spectrum management; cognitive radio; cellular learning (artificial intelligence); wireless channels; telecommunication computing; radiofrequency interference; 5G mobile communication; signal detection; computing.

In cognitive radio or military communications systems, the receiver usually needs to blindly identify which LDPC code has been adopted by transmitter. Existing methods for blind identification suffer from high computational complexity. This paper proposes a deep learning based algorithm. According algorithm, received encoded sequence is treated as text sentence, and special convolutional neural network (CNN), TextCNN, utilized understand infer adopted. Two types of codes, namely quasi-cyclic...

Digital Video Broadcasting for Handhelds (DVB-H) is the latest DVB standard from Group targeting handheld, battery powered devices such as mobile telephones, PDAs(Personal Assistants). etc. DVB-H enables IP data services including low definition TV to be received on handheld terminals. Time Division Multiplexing (TOM, technology that usually used in computer and telecommunication systems resoursce allocation. slicing based TDM one of characteristics DVB-H. This paper presents a basic model...

Lithium-ion batteries have made significant commercial and academic progress in recent decades. Zinc oxide (ZnO) has been widely studied as a lithium-ion battery anode due to its high theoretical capacity of 987 mAh g-1, natural abundance, low cost, environmental friendliness. However, ZnO suffers from poor electronic conductivity large volume variation during the discharge/charge process, leading deterioration long-term cycling. Herein, porous ZnO@C nanoplates are developed offer short ion...

In multi-agent system, agents work together for solving complex tasks and reaching common goals. this paper, we propose a cognitive model collaboration. Based on the model, an agent architecture will also be presented. This has BDI, awareness policy driven mechanism concurrently. These approaches are integrated in one that make collaboration more practical real world.

The sensing scheme based on the generalized likelihood ratio test (GLRT) technique has attracted a lot of research interest in field cognitive radios (CR). Although its potential advantages detecting correlated primary signal have been illustrated prior work, no theoretical analysis positive effects correlation appeared literature. In this letter, we derive false-alarm and detection probabilities GLRT detector. shows that, low signal-to-noise (SNR) region, detector's performance can be...

This paper presents a 36 Gb/s receiver equalizer including an adaptive continuous time linear (CTLE), which is based on slope detection and half-rate speculative decision feedback (DFE) in 0.13 µm BiCMOS technology for high speed serial link. The CTLE with middle frequency compensation can not only adjust the ratio of low components adaptively, but also provide small amount equalization to range. A DFE, connected back CTLE, satisfy constraints eliminate residual inter-symbol interference....

Traditional fuzzy neural network has certain drawbacks such as long computation time, slow convergence rate, and premature convergence. To overcome these disadvantages, an improved quantum-behaved particle swarm optimization algorithm is proposed the learning algorithm. In this algorithm, a new chaotic search introduced, benchmark function experiments prove it outperforms other five existing algorithms. Finally, presented for Takagi–Sugeno to form network, utilized in water quality...

Based on the Keldysh nonequilibrium Green's function technique, we study spin and charge Nernst effect in a four-terminal quantum dot (QD) ring device, which Rashba spin–orbit interaction (RSOI) is taken into QDs magnetic field penetrates ring. We find that only with assistance of RSOI, can pure occur by applying thermal bias without any or ferromagnetic materials system. Under certain RSOI strengths, spin-down spin-up currents be driven from terminal 2 4. The sign magnitude voltages...

Spectrum sensing is one of the key tasks in cognitive radio. This paper proposes a fast two-step energy detection (FED) algorithm for spectrum via improving sampling process conventional (CED). The adaptively selects<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:mi>N</mml:mi></mml:mrow></mml:math>-point or 2<mml:math id="M2"><mml:mrow><mml:mi>N</mml:mi></mml:mrow></mml:math>-point by comparing its observed with prefixed double thresholds, and thereby superior...

The generalized likelihood ratio test (GLRT) detectors have been widely used for spectrum sensing in cognitive radio. However, due to difficulties characterizing the exact distributions of statistics, decision thresholds obtained so far are based on asymptotic assumption that sample size is very large while dimension observation space small. Not enough attention has paid accuracy application with a moderate or dimension, which usually occurs scenarios multiple antennas and/or nodes. In this...