Accelerating Streaming Subgraph Matching via Vector Databases by Liuyi Chen, Yi Ding, Xushuo Tang, Fangyue Chen, Siyuan Gong, Xu Zhou, Zhengyi Yang

“…Building on this foundation, we perform k-nearest neighbor search on high-dimensional vectors by using a vector database for indexing. Inverted file and product quantization techniques within the vector database were employed to accelerate the process. …”
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Adaptive Matched Filter Based on Power Vector Method by A. V. Yastrebov

“…An adaptive transversal filter capable of suppressing broadband jams and receiving broadband signal simultaneously is considered. Signal processing algorithm using power vector basis is proposed. …”
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Privacy Preserving Inner Product of Vectors in Cloud Computing by Gang Sheng, Tao Wen, Quan Guo, Ying Yin

“…In this paper, we consider the scenario where three parties are involved in the computing process of cloud computing. We propose a new privacy preserving scheme for inner product of two vectors in the cloud and give the correctness analysis and performance analysis for the scheme. …”
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Research on Combination of Random Zero-Vector PWM Controller by ZHANG Guangyuan, WU Zhiyou, JIANG Tao

“…Zero vector assignment factor K0 was introduced in SPWM, and with K0 contributing zero-vector U0 and U7 action time, special zero-vector PWM modulation methods could be obtained. …”
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TreeVector: scalable, interactive, phylogenetic trees for the web. by Ralph Pethica, Gary Barker, Tim Kovacs, Julian Gough

“…TreeVector is designed as a framework to integrate with these processes and produce user-customized phylogenies automatically. …”
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Lightweight Road Environment Segmentation using Vector Quantization by J. Kwag, A. Yilmaz, C. Toth

“…To address this limitation, we propose segmentation of the autonomous driving environment using vector quantization. Vector quantization offers three primary advantages for road environment segmentation. (1) Each continuous feature from the encoder is mapped to a discrete vector from the codebook, helping the model discover distinct features more easily than with complex continuous features. (2) Since a discrete feature acts as compressed versions of the encoder’s continuous features, they also compress noise or outliers, enhancing the image segmentation task. (3) Vector quantization encourages the latent space to form coarse clusters of continuous features, forcing the model to group similar features, making the learned representations more structured for the decoding process. …”
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Computerized Interactive Gaming via Supporting Vector Machines by Y. Jiang, J. Jiang, I. J. Palmer

“…This paper describes a supporting vector machine-based artificial intelligence algorithm as one of the possible solutions to the problem of random data processing and the provision of interactive indication for further actions. …”
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Modern Vectors of Russian Diplomacy in the Post-Soviet Space by O. G. Karpovich, A. V. Davydova

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Skyrmion number for a generalized vector Poincaré beam by V.V. Kotlyar, A.A. Kovalev, A.M. Telegin

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Efficient Support Vector Regression with Reduced Training Data by Ling Cen, Quang Hieu Vu, Dymitr Ruta

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SOFTWARE OF VECTOR NETWORK ANALYZER IN MILLIMETER WAVE RANGE by D. A. Kondrashov, A. V. Gusinski, A. M. Kostrikin

“…A scheme for constructing Vector Network Analyzer of transmission and reflection coefficients (parameters S21 and S11) of the homodyne type with the formation quadrature signals based on the use of multi-point hardware shifter microwave signals in the frequency range 75-110 GHz is presented, provides a mathematical model for the processing of the quadrature signals and its implementation in the programming model.…”
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Vector-Based Seismic Decomposition by Reverse Time Methods by Agafonov Vadim, Bugaev Aleksandr, Erokhin Gennadiy, Ronzhin Andrey

“…The vector decomposition, which is the basis of a new method of seismic data processing Reverse Time Holography (RTH), is analyzed in detail. …”
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Secure distributed signcryption scheme based on vector space by LIU Jia, ZHUANG Yi, WANG Jian-dong

“…A kind of new distributed signcryption protocol was proposed based on the ideal vector space secret sharing scheme and the modified signcryption scheme of Zheng1.Without the involvement of a trusted key distribution center, this protocol could gain its ends of both threshold signature and threshold encryption simultaneously, however, its cost was equal to threshold signature only.Furthermore, based on the discrete logarithm, properties were verified and structured, the legitimacy of the participators could be confirmed during the processes of the keys generation, distributed signcryption and distributed unsigncryption, which prevented the participators cheating.…”
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Secure distributed signcryption scheme based on vector space by LIU Jia, ZHUANG Yi, WANG Jian-dong

“…A kind of new distributed signcryption protocol was proposed based on the ideal vector space secret sharing scheme and the modified signcryption scheme of Zheng1.Without the involvement of a trusted key distribution center, this protocol could gain its ends of both threshold signature and threshold encryption simultaneously, however, its cost was equal to threshold signature only.Furthermore, based on the discrete logarithm, properties were verified and structured, the legitimacy of the participators could be confirmed during the processes of the keys generation, distributed signcryption and distributed unsigncryption, which prevented the participators cheating.…”
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Development vectors of foreign library science at present stage by P. S. Romanoff

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Smooth Local Interpolation of Surfaces Using Normal Vectors by Takashi Nagata

“…That is, (i) The algorithm is efficient and completely local requiring only the position vectors and normals given at the nodes of a patch, and hence it is suitable for parallel processing. …”
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An approach to dynamic visualization of heterogeneous geospatial vector images by A.V. Vorobev, G.R. Vorobeva

“…The paper proposes an approach that enables heterogeneous vector geospatial data to be integrated before subsequent processing, analysis and visualization. …”
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Word-embedding Based Text Vectorization Using Clustering by Vitaly I. Yuferev, Nikolai A. Razin

“…It is known that in the tasks of natural language processing, the representation of texts by vectors of fixed length using word-embedding models makes sense in cases where the vectorized texts are short.The longer the texts being compared, the worse the approach works. …”
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Multi-distribution noise quantisation: an extreme compression scheme for transformer according to parameter distribution by Zaiyang Yu, Shuang Li, Linjun Sun, Liang Liu, Wang Haining

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Radar signal recognition exploiting information geometry and support vector machine by Yuqing Cheng, Muran Guo, Limin Guo

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