PCPIR-V:parallel privacy protected algorithms for nearest neighbor query based on Spark by Shi-zhuo DENG, Ji-tao YAO, Bo-tao WANG, Yue-mei CHEN, Ye YUAN, Yan-hui LI, Guo-ren WANG

“…To address the low-efficiency problem for query privacy protection on big data,parallel CPIR-V (PCPIR-V),which had a high level of privacy protection for nearest neighbor query,was presented and implemented based on spark.Two parallel strategies for PCPIR-V,Row strategy and Bit strategy,were proposed.To avoid redundant multiplications,the repeated products were cached based on a clustering technique while computing CPIR on Spark.According to the evaluation results of PCPIR-V on three datasets,the scalablity of PCPIR-V is good until the number of core is larger than 40.The cost of PCPIR-V with the method of caching partial multiplication results is reduced by 20% averagely.…”
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Analysis and Optimization of a New Variable Drive Plane 5R Parallel Mechanism by Baolei Zhang, Guanghao Liu

“…Secondly， on the basis of matrix orthogonality， the operating performance index of 5R parallel mechanism is defined， and the operating performance under different driving modes is evaluated according to the index requirements. …”
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Parallel Implementation of Gaussian Filter Image Processing on a Cluster of Single Board Computer by Achmad Nurul Fauzie, Setyawan Purnomo Sakti, Rahmadwati

“…This paper outlines the steps for implementing a parallel Gaussian filter on a cluster of SBCs. The performance of the parallel implementation was evaluated in terms of speedup and efficiency, which are essential parameters for measuring the effectiveness of the approach. …”
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Bearing Fault Diagnosis Method Based on Improved VMD and Parallel Hybrid Neural Network by Wuyi Chen, Huafeng Cai, Qiu Sun

“…In order to combat the difficulty of fault feature extraction and fault recognition in the field of bearing fault diagnosis, a bearing fault diagnosis method based on improved variational mode decomposition (VMD) and parallel hybrid neural network is proposed, which combines reweighted kurtosis (RK) with variable mode decomposition (VMD) and uses reweighted kurtosis as the evaluation index to select the decomposition times of variational mode decomposition, while removing part of the interference in the fault signal and retaining its impact characteristics. …”
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An Efficient MapReduce-Based Parallel Clustering Algorithm for Distributed Traffic Subarea Division by Dawen Xia, Binfeng Wang, Yantao Li, Zhuobo Rong, Zili Zhang

“…Since existing methods may not be suitable for big traffic data processing, this paper presents a MapReduce-based Parallel Three-Phase K-Means (Par3PKM) algorithm for solving traffic subarea division problem on a widely adopted Hadoop distributed computing platform. …”
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Development of a Bayesian Network-Based Parallel Mechanism for Lower Limb Gait Rehabilitation by Huiguo Ma, Yuqi Bao, Chao Jia, Guoqiang Chen, Jingfu Lan, Mingxi Shi, He Li, Qihan Guo, Lei Guan, Shuang Li, Peng Zhang

“…By utilizing the motion characteristics of parallel mechanisms, we designed a rehabilitation training device that supports multidimensional gait correction. …”
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An improved lightweight tongue segmentation model with self-attention parallel network and progressive upsampling by Xuan Wang, Yifang Cao, Yijia Chen, Huixia Li, Aiqing Han, Yan Tang

“…This paper introduces an improved model called Parallel Attention and Progressive Upsampling for Tongue Segmentation (PAPU_TonSeg), based on the Segformer architecture, to address the issues of inaccurate and blurred tongue edge segmentation in tongue semantic segmentation. …”
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Parallel Jacobian Computation Based on Distance-2 Algorithm and Its Application in Coupling Problems by LIU Lixun, ZHANG Han, PENG Xinru, DOU Qinrong, WU Yingjie, GUO Jiong, LI Fu

“…The parallel Newton-Krylov method with explicit Jacobian is more efficient and stable than the parallel JFNK method. …”

Efficacy, safety, and economic evaluation of Ojeok-san plus Saengmaek-san for gastroesophageal reflux-induced chronic cough: Protocol for a randomized, double-blind, placebo-controlled, parallel, multicenter, investigator-initiated clinical trial. by Yee Ran Lyu, O-Jin Kwon, Ae-Ran Kim, Min Ji Kim, Yoon Jae Lee, Kwan-Il Kim, Jae-Woo Park, Seok-Jae Ko, Yang-Chun Park, Jun-Yong Choi, Tae-Yong Park, Jun-Hwan Lee, Beom-Joon Lee

“…<h4>Methods and analysis</h4>We designed a randomized, double-blind, placebo-controlled, parallel, multi-center, investigator-initiated clinical trial to assess the efficacy, safety, and economics of combined Ojeok-san (OJS) and Saengmaek-san (SMS) in treating GERC. …”
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Highly parallel profiling of the activities and specificities of Cas12a variants in human cells by Peng Chen, Yankang Wu, Hongjian Wang, Huan Liu, Jin Zhou, Jingli Chen, Jun Lei, Zaiqiao Sun, Chonil Paek, Lei Yin

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Language-independent Metric for Measuring Text Simplification that does not Require a Parallel Corpus by Lucas Mucida, Alcione Oliveira, Maurilio Possi

“…Most of the current metrics used to measure text simplification are based on the use of parallel corpora, prepared by humans, which makes it difficult to apply the metrics in automatic text simplification in real time. …”
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A parallel multi-objective genetic algorithm for scheduling scientific workflows in cloud computing by Muhammad Sardaraz, Muhammad Tahir

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Massively parallel haplotyping on microscopic beads for the high-throughput phase analysis of single molecules. by Jérôme Boulanger, Leila Muresan, Irene Tiemann-Boege

“…Here we describe such a haplotyping method capable of analyzing in parallel hundreds of thousands single molecules in one experiment. …”
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A parallel CNN architecture for sport activity recognition based on minimal movement data by Huipeng Zhao

“…This is achieved through the parallel implementation of Convolutional Neural Networks (CNN) and machine learning methods. …”
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Dynamic Response of Parallel Overlapped Tunnel under Seismic Loading by Shaking Table Tests by Tao Yang, Yunkang Rao, Honggang Wu, Junyun Zhang, Hao Lei, Haojiang Ding

“…The failure mode of the parallel overlapped tunnels was analyzed through macroscopic test phenomena. …”
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A three parallel branches harmonic model with adaptive capability of operating state variation by Youhang Yang, Shaorong Wang, Jiaxuan Ren, Yao Guo, Siyuan Chen, Mingming Shi, Xian Zheng

“…More accurate harmonic models are urgently needed to evaluate and mitigate harmonic issues. To address this challenge, we propose a three parallel branches model (TPBM) with adaptive capability of operating state variation. …”
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Dynamic Load Balancing Based on Hypergraph Partitioning for Parallel Geospatial Cellular Automata Models by Wei Xia, Qingfeng Guan, Yuanyuan Li, Hanqiu Yue, Xue Yang, Huan Gao

“…In addition, a novel mechanism called Migrated-SubCellspaces-First (MSCF) is proposed to reduce the cost of workload migration by employing a non-blocking communication technique to further improve computational performance. To demonstrate and evaluate the effectiveness of our method, a parallel geospatial CA model with hypergraph-based dynamic load balancing is developed. …”
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Implementation of a Data-Parallel Approach on a Lightweight Hash Function for IoT Devices by Abdullah Sevin

“…For this purpose, a data-parallel approach is applied to a lightweight hash function to achieve massively parallel software. …”
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Pleiotropy increases parallel selection signatures during adaptation from standing genetic variation by Wei-Yun Lai, Sheng-Kai Hsu, Andreas Futschik, Christian Schlötterer

“…The ancestral variation in gene expression is, however, negatively correlated with parallelism. Given that pleiotropy is also negatively correlated with gene expression variation, we conducted a causal analysis to distinguish cause and correlation and evaluate the role of pleiotropy. …”
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Enhancing computational efficiency in solving Knapsack problem: insights from algorithmic parallelization and optimization by Bashar Bin Usman, Okeyinka Aderemi Elisha, Ibrahim Abdullahi, Idris Rabiu, Adamu Isah, Abdulganiyyu Abdulrahman

“…Our methodology involved utilizing advanced Parallelization techniques to accelerate the implementation of loop-based optimization algorithms by distributing tasks across multiple processing units concurrently. …”
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