检索结果-内蒙古大学图书馆

Asymmetric response aggregation heuristics for rating prediction and recommendation

APPLIED INTELLIGENCE 2020年第5期50卷 1416-1436页

作者： Ji, Shujuan Yang, Wei Guo, Shenghui Chiu, Dickson K. W. Zhang, Chunjin Yuan, Xinyue Shandong Univ Sci & Technol Key Lab Wisdom Mine Informat Technol Shandong Pro Qingdao Peoples R China Univ Hong Kong Fac Educ Hong Kong Peoples R China Shandong Univ Sci & Technol NIC Qingdao 266590 Shandong Peoples R China

User-based collaborative filtering is widely used in recommendation systems, which normally comprises three steps: (1) finding the nearest conceptual neighbors, (2) aggregating the neighbors' ratings to predict the ratings of unrated items, and (3) generating recommendations based on the prediction. Existing algorithms mainly focus on steps 1 and 3 but neglect subtle treatments of aggregating neighbors' suggestions in step 2. Based on the discovery of psychology that (i) users' responses to positive and negative suggestions are different, and (ii) users may respond differently from one another, this paper proposes a Personal Asymmetry Response-based Suggestions Aggregation (PARSA) algorithm, which first uses a linear regression method to learn each user's response to negative/positive suggestions from neighbors and then uses a gradient descent algorithm for optimizing them. In addition, this paper designs an Identical Asymmetry Response-based Suggestions Aggregation (IARSA) baseline algorithm, which assumes that all the users' responses to suggestions are identical as references to verify the key contribution of the heuristics employed in our PARSA algorithm that user may responses differently to positive and negative suggestions. Three sets of experiments are designed and implemented over two real-life datasets (i.e., Eachmovie and Netflix) to evaluate the performance of our algorithms. Further, in order to eliminate the influence of different similarity measures, this paper selects three kinds of similarity measures to discover neighbors. Experimental results demonstrate that most people indeed pay more attention to negative suggestions and our algorithms achieve better prediction and recommendation performances than the compared algorithms under various similarity measures.

关键词： Collaborative filtering Response Positive suggestions Negative suggestions linear regression method

来源：评论

学校读者我要写书评

暂无评论

THE ASSESSMENT OF EFFICIENCY OF WORK OF BLAST FURNACE

引用

METALURGIJA 2020年第3期59卷 403-406页

作者： Kardas, E. Prusak, R. Czestochowa Tech Univ Fac Prod Engn & Mat Technol Czestochowa Poland

The paper presents results of the analysis of selected indicators used to assess the efficiency of blast furnace operation: running time operation, plan fulfilment, unit daily production of pig iron and the influence of these parameters on monthly pig iron production and intensity of coke combustion. The study was carried out in cooperation with a Blast-Furnace Department of a Polish steelworks and was based on the results coming from this Department. The analysis covers the period of one calendar year.

关键词： blast furnace pig iron effectiveness production management linear regression method

来源：评论

学校读者我要写书评

暂无评论

Uncertainty in the mutual calibration method for the traceable thickness measurement of ultra-thin oxide films

引用

METROLOGIA 2021年第3期58卷 034002-034002页

作者： Lee, Seung Mi Woo, Jin Chun Kim, Tae Gun Kim, Kyung Joong Korea Res Inst Sci & Stand Surface Anal Team Daejeon 34113 South Korea Measurement Assurance Tech Inst Sejong 30130 South Korea

Mutual calibration by a combination of a zero-offset method and a length-unit traceable method has been suggested as a promising approach to determine the traceable thickness of ultra-thin oxide films. However, the measurement uncertainty is somewhat complicated to calculate because the standard uncertainties from the two measurement methods and the linear regression process should be combined. In this study, the mutual calibration method to evaluate the film thickness and uncertainty of ultra-thin oxide films was investigated. The algorithm of the linear regression equation in the mutual calibration method was studied and the uncertainty calculation program for the thickness measurement by mutual calibration was developed. The result will provide an effective and useful guideline to certify the thickness of the ultra-thin oxide film on Si(100) substrate which is used as the gate oxide in the semiconductor devices. The magnitude of the relative expanded uncertainty in the thickness measurement by mutual calibration is in the range from 8.6% to 9.3%.

关键词： uncertainty ultra-thin oxide mutual calibration thickness measurement linear regression method

来源：评论

学校读者我要写书评

暂无评论

An Effective Short-Term Load Forecasting methodology Using Convolutional Long Short Term Memory Network 11

An Effective Short-Term Load Forecasting Methodology Using C...

引用

11th International Conference on Electrical and Computer Engineering (ICECE)

作者： Rafi, Shafiul Hasan Nahid-Al Masood Deeba, Shohana Rahman Mil Inst Sci & Tech Dept EECE Dhaka Bangladesh Bangladesh Univ Engn & Tech Dept Elect & Elect Engn Dhaka Bangladesh North South Univ Dept Elect & Comp Engn Dhaka Bangladesh

ISBN: (纸本)9781665422543

In this research work, an improved short-term electrical load forecasting technique is developed. Short-term load forecasting plays a key role in scheduling of generating units and spinning reserve evaluation. It essentially estimates the near-future electricity demand, which helps to ensure seamless operation of all three stages of a power system - generation, transmission and distribution. There are a number of strategies for short-term load forecasting. However, conventional methods may not provide precise forecasting outcomes. Therefore, it is necessary to develop a more accurate technique to predict short-term electrical load. To this end, a convolutional long short term memory network (Conv-LSTM) is developed in this paper, which results in good forecasting precision. The developed methodology is applied to the electric load data of Bangladesh power system. Further, the performance of the proposed technique is compared to that of the conventional linear regression based forecasting algorithm in terms of different error metrics. Simulation results reveal that the proposed approach provides better forecasting and outperforms the conventional algorithm.

关键词： Short-term load forecasting Conv-LSTM network linear regression method Bangladesh power system Error metrics

来源：评论

学校读者我要写书评

暂无评论

Investigation on linearisation of data-driven transport research: two representative case studies

Investigation on linearisation of data-driven transport rese...

引用

15th World Conference on Transport Research (WCTR)

作者： Zou, Yun Kuang, Yan Zhi, Yue Qu, Xiaobo Sch Civil & Environm Engn Univ Technol Sydney Sydney NSW 4007 Australia Griffith Univ Griffith Sch Engn Gold Coast Qld 4222 Australia Binzhou Med Univ Sch Rehabil Med Yantai 264003 Peoples R China Chalmers Univ Technol Dept Architecture & Civil Engn S-41296 Gothenburg Sweden

Transportation engineering, as a practical engineering discipline, relies heavily on the accurate calibration of importation parameters from field data. In the real world, most transport relations possess inherent non-linearity. Two prevailing methods for handling non-linear regression are the non-linear least-squares method (LSM) with an iterative solution, and linearisation for the non-linear regression function. The second method applies a linear regression method to solve the non-linear regression problem but requires a data transformation of the observations from variant coordinates, and the objective function is suspected to be changed accordingly. This work describes the authors' investigation into the problem of non-linear regression through two illustrative examples, the calibration of three non-linear (either exponential or logarithmic) single-regime models for fundamental diagram and the regression of non-linear (power) bunker-consumption model, by applying the weighted LSM (WLSM) and the ordinary LSM to calibrate. It is found that linearising the regression model leads to deviations, and the data transformation can create even more concern with the WLSM because the weights can be redistributed after the data transformation. A further investigation into the linear regression and the non-linear regression gives more suggestions on the choice of regression method.

关键词： transportation least squares approximations mechanical engineering computing regression analysis data-driven transport research transportation engineering nonlinearity nonlinear regression function linear regression method nonlinear regression problem data transformation nonlinear bunker-consumption model regression model

来源：评论

学校读者我要写书评

暂无评论

Based on a linear regression method to study the fiber diameter of car engine oil filter materials

Based on a linear regression method to study the fiber diame...

引用

International Conference on Sport, Arts Materials and Management Science (SAMMS 2012)

作者： Feng Jian-yong Zhang Jian-chun Zhang Hua Yang Da-Xiang Donghua Univ Text Inst Shanghai Peoples R China Quartermaster Res Inst Gen Logist Dept PLA Beijing Peoples R China Armored Force Engn Inst Beijing Peoples R China

ISBN: (纸本)9783037854075

With regard to the car engine oil filter materials,it is necessary to possess a certain fiber diameter to achieve a preferable porosity and filtration effect. According to the investigation of commonly used oil filter materials in the market,this thesis is firstly selected ten kinds of various automobile oil filter material and then tested their fiber diameter,the main results have the maximum fiber diameter,the minimum fiber diameter and the average fiber diameter,however,the three results are not certain of the relationship. So through the linear regression method to discuss the quantitative mathematical relationship among them and to estabilish a theoretical calculation formula to compute them.

关键词： linear regression method oil filter material fiber diameter significance regression equation

来源：评论

学校读者我要写书评

暂无评论

Investigating the persistence of accuracy of genomic predictions over time in broilers

引用

JOURNAL OF ANIMAL SCIENCE 2021年第9期99卷 skab239页

作者： Hidalgo, Jorge Lourenco, Daniela Tsuruta, Shogo Masuda, Yutaka Breen, Vivian Hawken, Rachel Bermann, Matias Misztal, Ignacy Univ Georgia Dept Anim & Dairy Sci Athens GA 30602 USA Cobb Vantress Inc Siloam Springs AR 72761 USA

Accuracy of genomic predictions is an important component of the selection response. The objectives of this research were: 1) to investigate trends for prediction accuracies over time in a broiler population of accumulated phenotypes, genotypes, and pedigrees and 2) to test if data from distant generations are useful to maintain prediction accuracies in selection candidates. The data contained 820K phenotypes for a growth trait (GT), 200K for two feed efficiency traits (FE1 and FE2), and 42K for a carcass yield trait (CY). The pedigree included 1,252,619 birds hatched over 7 years, of which 154,318 from the last 4 years were genotyped. Training populations were constructed adding 1 year of data sequentially, persistency of accuracy over time was evaluated using predictions from birds hatched in the three generations following or in the years after the training populations. In the first generation, before genotypes became available for the training populations (first 3 years of data), accuracies remained almost stable with successive additions of phenotypes and pedigree to the accumulated dataset. The inclusion of 1 year of genotypes in addition to 4 years of phenotypes and pedigree in the training population led to increases in accuracy of 54% for GT, 76% for FE1, 110% for CY, and 38% for FE2;on average, 74% of the increase was due to genomics. Prediction accuracies declined faster without than with genomic information in the training populations. When genotypes were unavailable, the average decline in prediction accuracy across traits was 41% from the first to the second generation of validation, and 51% from the second to the third generation of validation. When genotypes were available, the average decline across traits was 14% from the first to the second generation of validation, and 3% from the second to the third generation of validation. Prediction accuracies in the last three generations were the same when the training population included 5 or 2 years of da

关键词： independent chromosome segments linear regression method persistence of accuracy prediction accuracy single-step GBLUP

来源：评论

学校读者我要写书评

暂无评论

Spatio-temporal dynamics of vegetation in Jungar Banner of China during 2000–2017

引用

Journal of Arid Land 2019年第6期11卷 837-854页

作者： LI Xinhui LEI Shaogang CHENG Wei LIU Feng WANG Weizhong Engineering Research Center of Ministry of Education for Mine Ecological Restoration China University of Mining and TechnologyXuzhou 221116China School of Environment Science and Spatial Informatics China University of Mining and TechnologyXuzhou 221116China Environmental Restoration and Management Center of Jungar Banner Mining Area Erdos 017100China

It is known that the exploitation of opencast coal mines has seriously damaged the environments in the semi-arid *** status can reliably reflect the ecological degeneration and restoration in the opencast mining areas in the semi-arid ***-time series MODIS NDVI data are widely used to simulate the vegetation cover to reflect the disturbance and restoration of local *** this study, both qualitative(linear regression method and coefficient of variation(CoV)) and quantitative(spatial buffer analysis, and change amplitude and the rate of change in the average NDVI) analyses were conducted to analyze the spatio-temporal dynamics of vegetation during 2000–2017 in Jungar Banner of Inner Mongolia Autonomous Region, China, at the large(Jungar Banner and three mine groups) and small(three types of functional areas: opencast coal mining excavation areas, reclamation areas and natural areas) *** results show that the rates of change in the average NDVI in the reclamation areas(20%–60%) and opencast coal mining excavation areas(10%–20%) were considerably higher than that in the natural areas(<7%).The vegetation in the reclamation areas experienced a trend of increase(3–5 a after reclamation)-decrease(the sixth year of reclamation)-*** vegetation in Jungar Banner has a spatial heterogeneity under the influences of mining and reclamation *** ratio of vegetation improvement area to vegetation degradation area in the west, southwest and east mine groups during 2000–2017 was 8:1, 20:1 and 33:1, *** regions with the high CoV of NDVI above 0.45 were mainly distributed around the opencast coal mining excavation areas, and the regions with the CoV of NDVI above 0.25 were mostly located in areas with low(28.8%) and medium-low(10.2%) vegetation *** average disturbance distances of mining activities on vegetation in the three mine groups(west, southwest and east) were 800, 800 and 1000 m, *** greater t

关键词： NDVI spatio-temporal dynamics linear regression method mining activities opencast coal mining areas reclamation areas Jungar Banner

来源：评论

学校读者我要写书评

暂无评论

Application of lidar and measure correlate predict method in offshore wind resource assessments

引用

JOURNAL OF CLEANER PRODUCTION 2019年 215卷 534-543页

作者： Sharma, Pramod Kumar Warudkar, Vilas Ahmed, Siraj MANIT Dept Mech Engn Bhopal India

Currently, wind data measurement using lidars or other remote sensing instruments are increasing. Lidar measures the wind data over the full wind turbine, but it is not available for a complete period. This paper investigates the application of measure-correlate-predict technique to short-term lidar measurements in order to extrapolate wind shear index. The wind shear exponent from lidar measurements was compared from mast measurements because lidar and mast have a different measurement methodology. The short-term measurement campaign was conducted at Dhanushkodi to analyze the wind data. This paper discussed the application of measure-correlate-predict method to evaluate the performance of the measure-correlate-predict to extrapolate the short term wind shear exponent. A quantitative analysis of the measure-correlate-predict method has been made. The new approach of measuring wind shear exponent using lidar and measure-correlate-predict was used to test the measured data. The six metrics used to evaluate the MCP predictions in the present analysis. The five parameters used to compare the predicted distribution with the actual long-term wind data. The shear measured by lidar over a height range from 10 m to 220 m. Subsequently, the mast data and the MCP method are used to extrapolate the lidar measurement to get the long-term shear exponent. The reference wind data is used by the wind shear exponent from 10 m to 100 m from the met mast. Due to the reduction of error in the wind shear exponent measurement, the uncertainty can sufficiently reduce in the estimation of wind shear exponent. Comparison of the two correlations signifies that the LR method shows in linear relations that have higher intercepts and lower slopes. A difference is found for shear exponent in the range of 0.13-0.28. (C) 2019 Elsevier Ltd. All rights reserved.

关键词： Lidar Measure correlate predict linear regression method Virtual ratio method

来源：评论

学校读者我要写书评

暂无评论

A method for the Frequency Security Level Grading of Power System Operation

引用

ENGINEERING LETTERS 2019年第3期27卷 623-630页

作者： Jin, Cuicui Liu, Liu Li, Weidong Li, Xiaomeng Rao, Yufei Dalian Univ Technol Sch Elect Engn Dalian Peoples R China State Grid Henan Elect Power Res Inst Zhenzhou Peoples R China

For the trade-off between the security and economy of power system operation, the control actions such as the preventive control, emergency control, and restorative control, etc. should be selected according to the frequency security level of power system operation. Thus, the theoretical basis for the selection of the control modes of frequency response and the dispatch of the frequency regulation means can be provided. The theoretical research demonstrates that the ratio between the frequency nadir and the quasi-stable state frequency of power system is nearly a constant after disturbance. Moreover, the frequency nadir of power system can be estimated based on the quasi-stable state frequency with the linear regression method of historical data. Hence, the method for the frequency security level grading of power system operation is proposed and the frequency response reserve of generator units and the initial operation frequency of power system, etc. are considered. Because the quasi-stable state frequency involves few parameters and is easy to be calculated, the calculation speed of the frequency nadir is fast and the proposed method can be applied on line. The feasibility and effectiveness of the proposed method are illustrated in the modified New England IEEE 10 generator 39-bus system and the Henan power grid.

关键词： security and stability control frequency response frequency security level grading constant ratio linear regression method

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：