Identifying the confidence level of activity recognition via HMM by Chang-hai WANG, Jian-zhong ZHANG, Jing-dong XU, Yu-wei XU

“…A context-based method to identify the confidence level of activ recognition was proposed,referred to as S-HMM(sliding window hidden Markov model),which reduced the confusion rate and facilitated the transfer learning.With S-HMM,the activity recognition sequence was modeled as HMM(hidden Markov model)and the corresponding probability was adopted as the confidence level.This ,S-HMM removed the dependency of the confidence level on the sample distribution in the feature space.S-HMM is extensively evaluated based on real-life activity data,demonstrat-ing a reduced confusion rate of 37% when compared to the state-of-the-art methods.…”
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A Hybrid IP/GA Approach to the Parallel Production Lines Scheduling Problem by Huizhi Ren, Shenshen Sun

“…Considering the time window and technical constraints, a mixed integer linear programming (MILP) model is formulated for the problem. …”
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A Preliminary Investigation of the Running Digit Span As a Test of Working Memory by Marjan Jahanshahi, T. Saleem, Aileen K. Ho, R. Fuller, Georg Dirnberger

“…We found that the average capacity of the running span was approximately 4 digits, and at long sequence lengths, performance was no longer affected by varying the running span window. Both episodic and executive function measures correlated with short and long running spans, suggesting that a simple dissociation between immediate memory and executive processes in short and long running digit span tasks may not be warranted.…”
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Exploration and application of autonomous network based on network events by Weihong LI, Ying YANG, Kun HUANG, Chenglong ZHU, Tantao PAN, Xianzong HE

“…In order to achieve the goal of autonomous networks and improve the automation of network operation, an autonomous network model was explored.The model introduced algorithms such as multidimensional data automatic clustering, adaptive sliding time window mechanism, user traffic loss assessment model based on spatiotemporal sequence correlation, fault propagation graph based on graph theory and spatiotemporal clustering, and builded automation capabilities through network event management, fault self-identification, self-positioning, self-scheduling, and intelligent quality inspection.The goal is achieving L4 advanced intelligent network by 2025.…”
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Asthma Worsenings: Approaches to Prevention and Management from the Asthma Worsenings Working Group by Meyer Balter, Pierre Ernst, Wade Watson, Harold Kim, Lisa Cicutto, Marie-France Beauchesne, Andrew J Cave, Alan Kaplan, Donna Hogg, Andrew McIvor, Tom Smiley, Michel Rouleau, J Mark FitzGerald

“…Published literature suggests that asthma worsenings likely represent a window of opportunity during which patients could intervene early to prevent exacerbations or further deterioration of asthma symptoms. …”
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Post-processing enhances protein secondary structure prediction with second order deep learning and embeddings by Sotiris Chatzimiltis, Michalis Agathocleous, Vasilis J. Promponas, Chris Christodoulou

“…Moreover, our method was evaluated using the CASP13 dataset where we showed that as the post-processing window size increased, the prediction performance increased as well. …”
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Innovative machine learning approaches for indoor air temperature forecasting in smart infrastructure by Nataliya Shakhovska, Lesia Mochurad, Rosana Caro, Sotirios Argyroudis

“…The proposed LSTM with RWCV (Rolling Window Cross-Validation) offers significant advantages over a usual LSTM in time-series tasks, particularly due to its ability to adapt to new data trends through the rolling window mechanism. …”
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Public key cryptographic algorithm SM2 optimized implementation on low power embedded platform by Ganqin LIU, Hui LI, Hui ZHU, Yukun HUANG, Xingdong LIU

“…With the development of wireless communication technology and the popularization of intelligent terminals, more and more cryptographic algorithms are applied to IoT devices to ensure the security of communication and data.Among them, the SM2 elliptic curve public key cryptography proposed by the State Cryptography Administration is an elliptic curve public key cryptography algorithm developed domestically, which has the advantages of high security and short key.SM2 has been widely deployed in various communication systems and is used in essential parts such as identity authentication and key negotiation.However, since SM2 involves large integer operations on finite fields, the computational cost is high, and its execution on a low-power embedded platform seriously affects the user experience.Therefore, an efficient implementation scheme of SM2 algorithm for low-power embedded platform was proposed for ARM-m series processors.Specifically, Thumb-2 instruction set was adopted to handle carry and save addressing cycles, basic operations such as modulo addition and sub-traction of large integers were optimized, and the number of available registers on the platform was combined to build efficient basic operations.Besides, based on the short multiplication and accumulation instruction cycle of ARM-m series processors, the implementation of Montgomery multiplication was optimized, and an efficient modular multiplication scheme was designed in combination with the CIOS algorithm.The scheme was no longer limited to Mersenne primes, and greatly improved the speed and flexibility of modular multiplication.Based on the theoretical analysis and experimental test, the window length selection method of the multiple point-scalar multiplication wNAF sliding window method on the embedded platform was given.The experimental test results show that the proposed scheme can effectively improve the computational efficiency of the SM2 algorithm on the resource-constrained low-power embedded platform.Without pre-calculation, the test signature speed can reach 0.204s/time, the signature verification speed is 0.388s/time, the encryption speed is 0.415s/time, and the decryption speed is 0.197s/time.…”
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Automated Measurement of Air Bubbles Dispersion in Ice Cream Using Machine Learning Methods by Igor A. Korolev

“…The optimal number channels in the convolutional layers of a neural network with LeNet-type architecture was determined, which made it possible to classify images as spheres or non-spheres with an accuracy of ≥ 0.995. The sliding window method helped to determine the limits of the neural network triggering for the sliding window method were determined, which reached 7.5% of the diameter with lateral displacement and 12.5% with scaling. …”
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Seq2Seq-based GRU autoencoder for anomaly detection and failure identification in coal mining hydraulic support systems by Kai Zhan, Cong Wang, Xigui Zheng, Chao Kong, Guangming Li, Wei Xin, Longhe Liu

“…The study revealed that window size had a limited impact on model performance, with a window length of 144 demonstrating optimal comprehensive performance in both anomaly detection and failure mode identification. …”
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Edge Computing-Based Machine Vision for Non-Invasive and Rapid Soft Sensing of Mushroom Liquid Strain Biomass by Libin Wu, Guimiao Xiao, Deyao Huang, Xiandong Zhang, Dapeng Ye, Haiyong Weng

“…The cascaded machine vision model mainly consists of three steps: first, the object detection task to locate the observation window, achieving a mean Average Precision (mAP50:95) of 82.3% with 78.7 GFLOPs; then, the segmentation task to extract liquid strain data within the observation window, yielding a mean intersection over union (MIoU) of 85.9% with 110.4 GFLOPs; and finally, calculating mycelium biomass indices via the morphological image processing task. …”
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YOLO-IRS: Infrared Ship Detection Algorithm Based on Self-Attention Mechanism and KAN in Complex Marine Background by Limin Guo, Yuwu Wang, Muran Guo, Xiaohai Zhou

“…By utilizing a shifted window multi-head self-attention mechanism, the window field of view is expanded, enhancing the model’s ability to focus on global features during feature extraction, thereby improving small target detection. …”
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Urban vs Suburban: Is the Door-to-Balloon Time Affected by Geographic, Socioeconomic, or Racial Differences? A Tale of Two Campuses by Marc Zughaib, Patrick Ters, Robby Singh, Marcel Zughaib

“…This time window is defined as the door-to-balloon time (DTB) and is recommended to be under 90 minutes to improve patient mortality. …”
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85Kr Thickness Gauge Source in Measuring the Areal Density of Lithium Battery Electrodes by Yunfei BAI, Binbin LIANG, Yigang PENG, Zheng GE

“…The influence of the source window material，thickness，active area，and activity size on the beta ray output of different specifications of 85Kr thickness gauge was compared and analyzed. …”
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Las series chilenas en la era del streaming: Panorama y desafíos para la formación ciudadana by Lorena Antezana Barrios

“…The consolidation of streaming platforms and their strategies to capture new markets have provided an interesting window for the exhibition of local productions, but also a challenge for producers. …”
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A time for consolidation: A bibliometric analysis of L2 vocabulary research 1985–1989 by Paul Meara

“…The second analysis places this work in a larger context by looking at research published in a five-year window covering 1985–89. The analyses identify important themes in the research and significant sources who are influencing the way the research is developing at this time. …”
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Image Noise Removal Method Based on Improved Nonlocal Mean Algorithm by Keya Huang, Hairong Zhu

“…This algorithm combines the adaptive median filter algorithm with the traditional nonlocal mean algorithm, first adjusts the image window adaptively, selects the corresponding pixel weight, and then denoises the image, which can have a good filtering effect on the mixed noise. …”
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Global Warming, Climate Tariffs and the Climate Club: How Can the Paris Targets Be Met? by ZG Überblick

“…Current political developments have opened a window for this.…”
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Leveraging the postpartum period to reduce racial disparities in postpartum hypertension care by Malamo E. Countouris, Jared W. Magnani

“…Pregnancy provides a window of opportunity for management of hypertension care. …”
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Relationship between fundus of the eye examination and arterial stiffness by Eduardo Costa Duarte Barbosa, Eduardo Costa Duarte Barbosa, Ana Carolina Storch Klein, Julia Gabriela Storch Klein, Camila Samrsla Möller, Eliane Fátima Manfio, Bruna Eibel, Carolina da Silva Mengue, Carolina da Silva Mengue

“…This review addresses the correlation between arterial stiffness, measured by pulse wave velocity (PWV), and retinal microvascular changes, highlighting the retina as an important accessible window for inferences about cardiovascular health. …”
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