Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks by Youxiang Huan

“…CONCLUSION: The study reveals that optimal design configurations can reduce energy consumption by 30% and life cycle costs by 20%, suggesting changes to window fenestration and envelope insulation are necessary. …”
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Using Stacks for Image Segmentation Based on Region Growing by V. Yu. Tsviatkou

“…In this case, the initial position of the region growth point and the direction of the selection of adjacent pixels in the scanning window are taken into account. A comparative assessment of the stack sizes required for image segmentation showed that using the FIFO stack is preferable to the LIFO stack and leads to significant memory savings.…”
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Darwin’s Chalcopyrite: Engaging Museum Audiences with Global Extractive Stories by Liz Hide

“…As part of its strategic commitment to addressing this challenge, this paper outlines a case study in the Sedgwick Museum of Earth Sciences, Cambridge, where observations and collections made by Charles Darwin during his three-year voyage around the world on board HMS Beagle provide a window onto wider social and economic issues that continue to be relevant today. …”
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Short-term traffic flow prediction based on adaptive rank dynamic tensor analysis by Lingchao HE, Dong LIN, Xinxin FENG

“…Short-term traffic flow prediction in intelligent transportation system can provide data support in areas such as route planning,traffic management,public safety and so on.In order to improve the prediction accuracy with missing and abnormal data,a short-term traffic flow prediction method based on the adaptive rank dynamic tensor analysis was proposed.Firstly,a four dimensional tensor consisted of week,day,time and space was constructed,which could excavate the multimodal correlation of traffic flow data.Secondly,tensor flow data with dynamic structure was formed by using sliding window model.The principal component analysis (PCA) algorithm was extended to an offline tensor analysis algorithm that could accept tensor input.Then the adaptive rank and the forgetting factor were introduced to generate an adaptive rank dynamic tensor analysis algorithm.Finally,the tensor stream data was inputted into the adaptive rank dynamic tensor analysis algorithm to realize the short-term traffic flow prediction.The experimental results show that a good prediction can be achieved even with data missing.…”
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A New Chaotic System with Only Nonhyperbolic Equilibrium Points: Dynamics and Its Engineering Application by Maryam Zolfaghari-Nejad, Mostafa Charmi, Hossein Hassanpoor

“…Also, bifurcation analysis of the system shows interesting phenomena such as periodic window, period-doubling route to chaos, and inverse period-doubling bifurcations. …”
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Intelligent Method for Identifying Driving Risk Based on V2V Multisource Big Data by Jinshuan Peng, Yiming Shao

“…Characterization parameters for identification were screened and used to determine threshold values and an appropriate time window for identification. A neural network-Bayesian filter identification model was established and data samples were selected to identify risky driving behavior and evaluate the identification efficiency of the model. …”
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Pose Self-Measurement of Noncooperative Spacecraft Based on Solar Panel Triangle Structure by Jingzhou Song, Caixiu Cao

“…First of all, an autonomous recognition algorithm of feature structure based on sliding window Hough transformation (SWHT) and inscribed circle of a triangle is proposed, and the image coordinates of feature points on the triangle can be obtained relying on this algorithm, combined with the P4P algorithm and the structure of spacecraft, calculating the relative pose of target expressed by rotation and translation matrix. …”
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Microblog burst topic diffusion prediction algorithm based on the users and node scale by Wei WANG, Rui-guang LI, Yuan ZHOU, Wu YANG

“…By partitioning microblog users into infected users, tangible user and immune user, the relationship between infected and tangible user was analyzed to predict the scale of users which were infected in next time window. Following ＂internal and external field strength＂concept in topic diffusion model, the proportional relationship between them was studied. …”
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Fall detection via human posture representation and support vector machine by Kaibo Fan, Ping Wang, Yan Hu, Bingjie Dou

“…A fall-like accident is detected by counting the occurrences of lying postures in a short temporal window. After conducting majority voting, a fall event is determined by immobility verification. …”
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A Novel Analytical Framework Is Developed for Wireless Heterogeneous Networks for Video Streaming Applications by S. Kumarganesh, S. Anthoniraj, T. Senthil Kumar, P. Elayaraja, A. Christina Josephine Malathi, M. Somaskandan, Gashaw Bekele

“…The network congestion on end-to-end path utilised in CMT is not dependent of one another, and we operate under prior assumption that receiver’s announced window does not limit the sender. The analytical results show that the proposed framework outperforms existing methods in terms of performance with minimum retransmission delay.…”
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Oxidized Regenerated Cellulose Mimicking a Retained Laparotomy Sponge by Lauren E. Karnolt, Andrea L. Buras, Thomas J. Rutherford, Matthew L. Anderson

“…Dissemination of this knowledge will hopefully help to avoid radiographic misidentification of ORC in the perioperative window and minimizing the risk of unnecessary surgical interventions in the future.…”
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Railway safety monitoring algorithm based on distributed optical fiber vibration sensor by Fuyang CHEN, Bin JIANG, Yu SHA

“…Aiming at the monitoring problem of the human climbing behaviour existing along the railway,a railway safety detection algorithm based on distributed optical fiber vibration sensors was proposed by combining the distributed optical fiber sensing technology and signal analysis technology.The surrounding vibration was sensed and transmitted through the optical cables laid along the fence network of the railway,and then the Internet of things (IoT) connection between the railway and monitoring algorithm was built to realize the intelligent monitoring of the climbing behavior.In view of the complicated surrounding environment of the railway and more interference,the Hamming window and wavelet threshold denoising method were used to filter the signal of each frame to improve the signal-to-noise ratio of the vibration signal.In the selection of features,the power spectrum and short-time over-level rate of the signal were extracted from the time domain and frequency domain respectively as a joint feature to determine whether there was climbing or creeping behavior.Since that the climbing behavior was spatially continuous,the minimum alarm range was set to filter out alarms with a too small range,which improved the accuracy of the monitoring system.…”
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Data Transmission Control of Vehicle Ad Hoc Network in Intelligent Transportation Systems for Smart Cities by Zhenhua Li, Guicai Yu

“…Congestion parameters and routing parameters evaluate the state of the network, and the size of the congestion window is appropriately limited by the routing parameters to prevent excessive data volume from causing backlogs in the vehicular network. …”
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Mobilisation de femmes chinoises migrantes se prostituant à Paris. De l’invisibilité à l’action collective by Hélène Le Bail

“…Thirdly, their mobilization took place in a period of legislative reform and of broader mobilization among sex workers’ groups, which was a window of opportunity. The article proposes a chronological account of the mobilization process which underlines the synergy between the quest of legitimacy by the Chinese migrants and the militant approach of a humanitarian NGO, Doctors of the World.…”
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Research on dynamic evaluation method of individual scientific impact under multiple key nodes by Shuang Ma

“…The pr(y)-index of a 5-year time window is more sensitive to judge the of influence on scientific career. …”
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Driver Fatigue Detection Method Based on Human Pose Information Entropy by Taiguo Li, Tiance Zhang, Yingzhi Zhang, Liben Yang

“…Information entropy and sliding window algorithm are applied to analyse and calculate sufficient consecutive video frames to obtain more robust and accurate fatigue-related values than by using a single frame. …”
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A Human-Computer Interaction System for Agricultural Tools Museum Based on Virtual Reality Technology by Ying Yang, Yiyi Fan, Ruizhi Sun

“…Traditional museums and most digital museums use window display to exhibit their collections. However, the agricultural tools are distinctive for their use value and wisdom contained. …”
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Landscape Diversity Enhances Climate Change Resilience: A Review by Tumwesigye, Wycliffe, Kishoin, Viola, Turyasingura, Benson, Mwanjalolo, Majaliwa, Gilbert, Jackson

“…The time lag between range expansion and habitat loss has been thwarted. A golden window to prevent the spread of alien species established in the habitat.…”
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Post-extrasystolic variation of ST segment and T wave as a mortality risk predictor after myocardial infarction by Ralf J. Dirschinger, Ralf J. Dirschinger, Alexander Müller, Petra Barthel, Alexander Steger, Michael Dommasch, Axel Bauer, Karl-Ludwig Laugwitz, Georg Schmidt, Daniel Sinnecker, Daniel Sinnecker

“…The aim of this study was to assess whether this post-extrasystolic ST segment and T wave variation (PEST) conveys prognostic information regarding the mortality risk of cardiac patients.MethodsPEST was calculated from 30-min ECGs obtained from 941 survivors of acute myocardial infarction (AMI) as mean difference between the sum of squared voltages from three orthogonal leads (XYZ) of the first (post-extrasystolic) and second (reference) beat after each VPC, in a time window between the limits ϕ1 and ϕ2. Optimal limits yielding a maximum area under the receiver-operating characteristics (ROC) curve were determined by systematic testing, covering the time window from the J point to the end of the T wave. …”
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Essential and dual effects of Notch activity on a natural transdifferentiation event by Thomas Daniele, Jeanne Cury, Marie-Charlotte Morin, Arnaud Ahier, Davide Isaia, Sophie Jarriault

“…Notch only promotes transdifferentiation during an early precise window of opportunity and signal duration must be tightly controlled in time. …”
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