检索结果-南通市图书馆

基于空调使用行为记录的用户热偏好预测模型及控制方法分析

在线全文

学校读者我要写书评

暂无评论

电子技术（上海） 2024年第3期53卷 164-167页

作者：张静思美的集团中央研究院上海201702

阐述预测空调用户的个体热偏好有助于智能空调控制技术的发展。分析空调中的嵌入传感器数据以及用户与这些设备的交互行为,采用机器学习算法对空调的设定温度变化进行预测。结果表明,不同用户的空调使用行为在设定温度偏好和调节时间上... 详细信息

阐述预测空调用户的个体热偏好有助于智能空调控制技术的发展。分析空调中的嵌入传感器数据以及用户与这些设备的交互行为,采用机器学习算法对空调的设定温度变化进行预测。结果表明,不同用户的空调使用行为在设定温度偏好和调节时间上存在较大差异。超过60%的用户倾向于将空调温度设置在25~28℃范围内。机器学习模型预测升高设定温度和降低设定温度的准确率为72.1%~87.3%,通过添加月和小时作为输入特征,模型的性能随着样本的增大而提高。

关键词：数据驱动模型智能家居行为分析空调控制

Energy and comfort performance of occupant-centric air conditioning strategy in office buildings with personal comfort devices

在线全文

学校读者我要写书评

暂无评论

Building Simulation 2022年第5期15卷 899-911页

作者： jingsi zhang Xiang Zhou Song Lei Maohui Luo School of Mechanical Engineering Tongji UniversityShanghai 200092China East China Architectural Design and Research Institute 151 Hankou RoadShanghaiChina

The personal comfort system(PCS)aims to meet individual thermal comfort demands efficiently to achieve higher thermal comfort satisfaction while reducing air conditioning energy *** date,many PCS devices have been developed and evaluated from the perspective of thermal *** will be useful for future PCS development if an approach to quantify the thermal comfort and energy performance of certain PCS devices and their combinations with consideration of user behaviors can be *** study attempted to fill this gap by integrating thermal comfort experiments,occupancy simulations,usage behavior modeling,and building energy simulation ***,human subject experiments were conducted to quantify the thermal comfort effects of the ***,the Markov chain model and conditional probability model were employed to describe the room occupancy and PCS usage ***,the extended comfort temperature range and user behavior models were imported into the building energy simulation tool to analyze the energy-saving potential of the *** results show that the use of PCS can significantly improve occupants,thermal comfort and satisfaction rate under both warm and cool *** a cooling cushion and desktop fan can lift the upper limit of the comfortable temperature to 29.5℃while the heated cushion can extend the lower limit to 15℃.By increasing the air conditioning temperature setpoint by 2℃in summer and reducing by 2.5℃the heating temperature setpoint in winter,PCS devices can reduce heating and air conditioning energy consumption by 25%-40%while maintaining occupants’thermal comfort.

关键词： thermal comfort personal comfort system occupant behavior building energy simulation building energy saving

Development of data-driven thermal sensation prediction model using quality-controlled databases

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Building Simulation 2022年第12期15卷 2111-2125页

作者： Xiang Zhou Ling Xu jingsi zhang Lie Ma Mingzheng zhang Maohui Luo School of Mechanical Engineering Tongji UniversityShanghai200092China Guangdong Midea Air-Conditioning Equipment Co. LTDGuangdong 528311China

Predicting the thermal sensations of building occupants is challenging,but useful for indoor environment *** this study,a data-driven thermal sensation prediction model was developed using three quality-controlled thermal comfort *** machine-learning algorithms were compared in terms of prediction accuracy and *** model was further improved by adding categorical inputs,and building submodels and general models for different contexts.A comprehensive data-driven thermal sensation prediction model was *** results indicate that the multilayer perceptron(MLP)algorithm achieves higher prediction accuracy and more rational results than the other four algorithms in this specific *** AC and NV scenarios,climate zones,and cooling and heating seasons can improve model *** submodels for specific scenarios can result in better thermal sensation vote(TSV)predictions than using general models with or without *** 11 submodels corresponding to 11 scenarios,and three general models without labels,the final TSV prediction model achieved higher prediction accuracy,with 64.7%–90.7%fewer prediction errors(reducing SSE by 3.2–4.9)than the predicted mean vote(PMV).Possible applications of the new model are *** findings of this study can help in development of simple,accurate,and rational thermal sensation prediction tools.

关键词： thermal comfort machine learning adaptive thermal comfort multilayer perceptron

Room zonal location and activity intensity recognition model for residential occupant using passive-infrared sensors and machine learning

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Building Simulation 2022年第6期15卷 1133-1144页

作者： jingsi zhang Ting Zhao Xiang Zhou Jilong Wang Xinyue zhang Chaokui Qin Maohui Luo School of Mechanical Engineering Tongji UniversityShanghai200092China

Given the importance of recognizing indoor occupant’s location and activity intensity to the control of intelligent homes,exploring approaches that can detect occupants’location and activity types while protecting occupants’privacy is *** this study,occupants’zonal location and activity intensity recognition models were developed using passive infrared(PIR)sensors and machine learning algorithms.A PIR sensor array with 15 nodes was employed to monitor indoor occupant’s and cat’s behavior in a case residential building for 71 *** output signals of PIR sensors varied with different locations and activity *** analyzing the PIR data feature,models were established using six machine learning algorithms and two sets of *** comparing model performance,the support vector machine(SVM)algorithm was selected to establish the final *** model input was optimized by accumulating the PIR *** PIR original counting values in 1-minute and 30-minute accumulated data as input features,the optimized SVM model can achieve 99.7%accuracy under the 10-fold cross-validation for the training data set,and 90.9%accuracy for the test data *** cat’s activity intensity is much weaker than that of occupant,yielding much smaller PIR output,which helped the SVM model to distinguish cat’s activity from occupant’s with>90%*** model’s recognition accuracy decreases with the decrease of sensor numbers and nine sensors were *** findings obtained in this study support the promising future of applying PIR sensors in smart homes.

关键词： PIR sensor machine learning occupant behavior pet behavior smart home

Clinical Knowledge-Based Hybrid Swin Transformer for Brain Tumor Segmentation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第9期76卷 3797-3811页

作者： Xiaoliang Lei Xiaosheng Yu Hao Wu Chengdong Wu jingsi zhang College of Information Science and Engineering Northeastern UniversityShenyang110819China Faculty of Robot Science and Engineer Northeastern UniversityShenyang110819China Faculty of Engineering Macquarie UniversitySydneyNSW2109Australia

Accurate tumor segmentation from brain tissues in Magnetic Resonance Imaging(MRI)imaging is crucial in the pre-surgical planning of brain tumor *** images’heterogeneous intensity and fuzzy boundaries make brain tumor segmentation ***,recent studies have yet to fully employ MRI sequences’considerable and supplementary information,which offers critical a priori *** paper proposes a clinical knowledge-based hybrid Swin Transformermultimodal brain tumor segmentation algorithmbased on how experts identify malignancies from MRI *** the encoder phase,a dual backbone network with a Swin Transformer backbone to capture long dependencies from 3D MR images and a Convolutional Neural Network(CNN)-based backbone to represent local features have been *** of directly connecting all the MRI sequences,the proposed method re-organizes them and splits them into two groups based on MRI principles and characteristics:T1 and T1ce,T2 and *** aggregated images are received by the dual-stem Swin Transformer-based encoder branch,and the multimodal sequence-interacted cross-attention module(MScAM)captures the interactive information between two sets of linked modalities in each *** the CNN-based encoder branch,a triple down-sampling module(TDsM)has been proposed to balance the performance while *** the final stage of the encoder,the feature maps acquired from two branches are concatenated as input to the decoder,which is constrained by MScAM *** proposed method has been evaluated on datasets from the MICCAI BraTS2021 *** results of the experiments demonstrate that the method algorithm can precisely segment brain tumors,especially the portions within tumors.

关键词： Brain tumor segmentation swin transformer multimodal clinical knowledge

Greenness identification based on HSV decision tree

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Information Processing in Agriculture 2015年第3期2卷 149-160页

作者： Wenzhu Yang Sile Wang Xiaolan Zhao jingsi zhang Jiaqi Feng School of Computer Science and Technology Hebei UniversityBaoding 071002China

Greenness identification from crop images captured outdoors is the important step for crop growth *** commonly used methods for greenness identification are based on visible spectral-index,such as the excess green index,the excess green minus excess red index,the vegetative index,the color index of vegetation extraction,the combined *** these visible spectral-index based methods are working on the assumption that plants display a clear high degree of greenness,and soil is the only background *** fact,the brightness and contrast of an image coming from outdoor environments are seriously affected by the weather conditions and the capture *** color of the plant varies from dark green to bright *** back ground elements may contain crop straw,straw ash besides *** environmental factors always make the visible spectral-index based methods unable to work *** this paper,an HSV decision tree based method for greenness identification from maize seedling images captured outdoors is ***,the image was converted from RGB color space to HSV color space to avoid influence of ***,most of the background pixels were removed according to their hue values compared with the ones of green ***,the pixels of wheat straws whose hue values were intersected with tender green leaves were eliminated subject to their hues,saturations and *** last,thresholding was employed to get the green *** results indicate that the proposed method can recognize greenness pixels correctly from the crop images captured outdoors.

关键词： Greenness identification Field crop image HSV decision tree Variable illumination Complex background

Effect of ultrasonic modification on the protective activity of Flammulina velutipes polysaccharide to prevent ethanol-induced injury on GES-1 cells

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Food Science and Human Wellness 2023年第6期12卷 2451-2459页

作者： Jinrong Xiao Xin Chen jingsi zhang Yifan Wang Lei Zhong Qiping Zhan Qiuhui Hu Liyan Zhao College of Food Science and Technology Nanjing Agricultural UniversityNanjing 210095China College of Food Science and Engineering Nanjing University of Finance and EconomicsNanjing 210023China

Flammulina velutipes(***)polysaccharides were modified by ultrasound at the rated power of 150 W and 900 *** monosaccharide composition,ultraviolet-visible,and Fourier transform infrared spectral characteristics of *** polysaccharides(FVP)and their ultrasonic modification products(U-FVPs)were *** protective effects of FVP and U-FVPs on human gastric mucosal cells GES-1 were confi rmed for the first *** mole ratios of glucose and galactose were decreased and the mole ratio of mannose was increased after ultrasonic *** with the original FVP and the FVP modifi ed by ultrasound of 150 W(U-FVP1),the FVP modifi ed by ultrasound of 900 W(U-FVP2)could better prevent ethanol-induced damage to GES-1 *** increasing ultrasound intensity,the protective effect of FVPs on GES-1 cells was significantly enhanced by more effective prevention of intracellular reactive oxygen species(ROS)production and more promotion of expression of triglyceride factor 2(TFF2),prostaglandin E2(PGE2),epidermal growth factor(EGF),and transforming growth factorβ1(TGF-β1)*** ultrasonic modifi cation might be an effective way to develop novel *** polysaccharides that could effectively resist the gastric injury caused by excessive alcohol consumption.

关键词： Flammulina velutipes polysaccharide Ultrasonic modification GES-1 cell Gastric ulcer Ethanol-induced injury

论德国农村社会保障法律制度及其对我国的启示

在线全文

学校读者我要写书评

暂无评论

河南社会科学 2010年第6期18卷 205-207页

作者：张敬思河南财经政法大学河南郑州450011

德国农村社会保障制度具有鲜明的特点。国家立法对于建立社会保障制度具有重要价值,社会保障立法充分彰显人文关怀,农业社会保障法律制度的制定和调整注重农业职业特点,制度制定合理分配政府、社会和农民个人的权利(力)义务。对于我国而... 详细信息

德国农村社会保障制度具有鲜明的特点。国家立法对于建立社会保障制度具有重要价值,社会保障立法充分彰显人文关怀,农业社会保障法律制度的制定和调整注重农业职业特点,制度制定合理分配政府、社会和农民个人的权利(力)义务。对于我国而言,应当吸收借鉴其经验,强化农村社会保障法律意识和危机意识;合理进行制度建设,体现公平公正与人文关怀;合理确定政府、社会及个人在农村社会保障中的权利(力)义务体系。

关键词：德国农村社会保障危机意识人文关怀

Atomic tracking of thermally-driven structural evolution in 2D crystals:Case of NbSe_(2)

在线全文

学校读者我要写书评

暂无评论

InfoMat 2024年第2期6卷 90-98页

作者： Baofei Hou Teng zhang Tingting Wang Hongyan Ji Huixia Yang Liangguang Jia Xu Han jingsi Qiao Yu zhang Liwei Liu Hong-Jun Gao Yeliang Wang School of Integrated Circuits and Electronics&Yangtze Delta Region Academy Beijing Institute of TechnologyBeijingthe People's Republic of China Institute of Physics Chinese Academy of SciencesBeijingthe People's Republic of China

Advanced atomic tracking techniques play a critical role in characterizing structural evolution,elucidating fundamental mechanisms of exotic phenomena and tailoring delicate *** driven structural modulation in 2D crystals,such as the charge density wave(CDW),often leads to intriguing quantum properties,making them a valuable platform for exploring fundamental physics and potential device ***,despite their significance,experimental studies addressing atomic tracking of thermally-driven structural evolution in 2D crystals have been ***,we utilize high-accuracy variable-temperature atomic tracking measurements with scanning tunneling microscopy(STM)to directly observe a series of structural transitions in a model 2D crystal,namely NbSe_(2).With the atomic tracking technique,we confirm the existence of the universal thermally-driven CDW transition hysteresis between the heating and cooling *** transition hysteresis,characterized by a constant temperature offset,represents a new phenomenon of structural *** findings provide a feasible method to track CDW transitions at the atomic scale in 2D crystals,significantly contributing to a better understanding and the potential modulation of these materials'functions in nanodevices.

关键词： 2D crystal atomic tracking technique structural evolution temperature hysteresis