Efficient keyword spotting system for information retrieval by LUO Jun, OU Zhi-jian

“…A new two-stage keyword spotting system was proposed based on syllable graph for audio information retrieval task,which could efficiently spot the interesting words in mass speech data,thus serve for the national security.It comprised two stages – preprocessing and searching.In the preprocessing stage,the audio data was recognized into syllable graph which included high accuracy syllable candidates,and unsupervised MLLR（maximum likelihood linear regression） adaptation was carried out iteratively to further improve the accuracy of the syllable graph.In the searching stage,to answer the frequent queries from users,searching for matched keywords was only scanned in the graph for likely syllable strings.A forward-backward algorithm based on syllable N-grammar was used to calculate confidence measures for further filtering of the searching result.Experimental results show the system achieved good performances in both recall rate and accuracy rate,and in the searching stage only 0.01 times of real time is needed,which can meet the demand for fast retrieval.…”
Get full text

Non-trivial saddles in microscopic description of black holes by Pranav Kumar, Swapnamay Mondal

“…We show this to be the case for 1/8 BPS black holes in N $$ \mathcal{N} $$ = 8 String Theory in a duality frame, where all charges are Ramond Ramond. …”
Get full text

Universal structure of islands in evaporating black holes by Yoshinori Matsuo

Get full text

Application of Multivariate Adaptive Regression Splines (MARSplines) for Predicting Hansen Solubility Parameters Based on 1D and 2D Molecular Descriptors Computed from SMILES Strin... by Maciej Przybyłek, Tomasz Jeliński, Piotr Cysewski

“…The effectiveness of the obtained models was checked via standard QSPR/QSAR internal validation procedures provided by the QSARINS software and by predicting the solubility classification of polymers and drug-like solid solutes in collections of solvents. By utilizing information derived only from SMILES strings, the obtained models allow for computing all of the three Hansen solubility parameters including dispersion, polarization, and hydrogen bonding. …”
Get full text

Quantum Entanglement of the Brain, Dynamics of Information, and Intelligent Finance by Ana Njegovanović

“…Our research forms two directions, the first considers two approaches to the brain, one based on classical mechanics, the second using quantum physics, the second direction of research refers to the dynamics of0 information as an interaction between differential geometry, mathematical statistics, probability theory. and quantum mechanics which led to the construction of classical and quantum information geometry. …”
Get full text

Out-of-time-order-correlators in holographic EPR pairs by Shoichi Kawamoto, Da-Shin Lee, Chen-Pin Yeh

“…We compute the four-point and six-point OTOCs using the gravity dual, represented by the string worldsheet theory in Anti-de Sitter (AdS) space. …”
Get full text

The superconformal index and black hole instabilities by Evan Deddo, Leopoldo A. Pando Zayas, Wenjie Zhou

Get full text

Pbaeg: combine-vulnerabilities AEG to defeat protection mechanisms by Yu Wang, Zhoujun Li, Yipeng Zhang

Get full text

Profiling the impact of different tau species on glial cell biology by Ines Arribas Gomez, Yan Yan, Meredith T. Lilley, Yunfei Chen, Lillian M. Daughrity, Ana Moreno Arnas, Ji Shi, Jennifer M. Kachergus, E. Aubrey Thompson, Karen Jansen-West, Casey N. Cook, Casey N. Cook, Casey N. Cook

Get full text

Carrier-independent screen-shooting resistant watermarking based on information overlay superimposition by Xiaomeng LI, Daidou GUO, Xunfang ZHUO, Heng YAO, Chuan QIN

“…Financial security, an important part of national security, is critical for the stable and healthy development of the economy.Digital image watermarking technology plays a crucial role in the field of financial information security, and the anti-screen watermarking algorithm has become a new research focus of digital image watermarking technology.The common way to achieve an invisible watermark in existing watermarking schemes is to modify the carrier image, which is not suitable for all types of images.To solve this problem, an end-to-end robust watermarking scheme based on deep learning was proposed.The algorithm achieved both visual quality and robustness of the watermark image.A random binary string served as the input of the encoder network in the proposed end-to-end network architecture.The encoder can generate the watermark information overlay, which can be attached to any carrier image after training.The ability to resist screen shooting noise was learned by the model through mathematical methods incorporated in the network to simulate the distortion generated during screen shooting.The visual quality of the watermark image was further improved by adding the image JND loss based on just perceptible difference.Moreover, an embedding hyperparameter was introduced in the training phase to balance the visual quality and robustness of the watermarked image adaptively.A watermark model suitable for different scenarios can be obtained by changing the size of the embedding hyperparameter.The visual quality and robustness performance of the proposed scheme and the current state-of-the-art algorithms were evaluated to verify the effectiveness of the proposed scheme.The results show that the watermark image generated by the proposed scheme has better visual quality and can accurately restore the embedded watermark information in robustness experiments under different distances, angles, lighting conditions, display devices, and shooting devices.…”
Get full text

An efficient multi-key BFV fully homomorphic encryption scheme with optimized relinearization by Sai Hu, Ruwei Huang, Liang Zhou

Get full text

A CFT dual for evaporating black holes: boundary continuous matrix product states by Niloofar Vardian

Get full text

Gravity as a mesoscopic system by Pietro Pelliconi, Julian Sonner, Herman Verlinde

Get full text

Digital twin and contact analysis of ultra-long distance coiled tubing operation structures [version 2; peer review: 1 approved, 2 approved with reservations] by Wenlan Wei, Jiarui Cheng, Hao Qu, Maliang Wang, Wenyuan Wang

“…The reason is that the complex wellbore trajectory makes it difficult to evaluate the contact state between coiled tubing and wellbore, resulting in a significant error in the pipe string mechanics calculation and analysis. Methods In this study, a digital twin-based method for continuous tubing wear modelling is proposed. …”
Get full text

Numerical Simulation of Ambiguity Resolution in Multiple Information Streams Based on Network Machine Translation by Lei Wang, Qun Ai

“…This method does not rely on professional domain knowledge and training corpus and only uses the frequency, mutual information, and boundary entropy information of the string in the test corpus to solve the problem of word segmentation ambiguity. …”
Get full text

The cadenza woodwind dataset: Synthesised quartets for music information retrieval and machine learningZenodo by Gerardo Roa Dabike, Trevor J. Cox, Alex J. Miller, Bruno M. Fazenda, Simone Graetzer, Rebecca R. Vos, Michael A. Akeroyd, Jennifer Firth, William M. Whitmer, Scott Bannister, Alinka Greasley, Jon P. Barker

“…The dataset is also intended for developing other music information retrieval (MIR) algorithms using machine learning. …”
Get full text

Cooperative Control of Vehicular Platoon in Mixed Traffic Environment by YANG Yilin, BIAN Yougang, HU Manjiang, DU Changkun, XU Biao, QIN Zhaobo

“…Then, a method of calculating the head-to-tail transfer function is given, the closed-loop stability and the head-to-tail string stability of the mixed vehicular platoon with disturbance is discussed. …”
Get full text

Maintaining Efficient Operation of Low-Yield Wells During the Development of the Cenomanian Deposit by E. I. Inyakina, E. E. Levitina, A. V. Plazun, M. J. Z. Alsheikhly

“…Based on the available information on the development of the Cenomanian deposit, a forecast was made of the likely beginning of self-suffocation of the well stock for the current period until 2030. …”
Get full text

Thermodynamics from the S-matrix reloaded, with applications to QCD and the confining Flux Tube by Pietro Baratella, Joan Elias Miró, Emanuele Gendy

Get full text

HybTrans: A Molecular Generation and Optimization Model Integrating Protein Pocket Sequence and Structural Information by Chen Yinghao, Liu Hongde, Sun Xiao

“…However, there is a lack of models that integrate both protein pocket sequence and structural information for molecular generation. This study proposes HybTrans, a molecular generation and optimization model that integrates protein pocket sequence and structural information. …”
Get full text