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State identification of home appliance with transient features in residential buildings

《能源前沿（英文）》 2022年 第16卷 第1期   页码 130-143 doi: 10.1007/s11708-022-0822-z

摘要： Nonintrusive load monitoring (NILM) is crucial for extracting patterns of electricity consumption of household appliance that can guide users’ behavior in using electricity while their privacy is respected. This study proposes an online method based on the transient behavior of individual appliances as well as system steady-state characteristics to estimate the operating states of the appliances. It determines the number of states for each appliance using the density-based spatial clustering of applications with noise (DBSCAN) method and models the transition relationship among different states. The states of the working appliances are identified from aggregated power signals using the Kalman filtering method in the factorial hidden Markov model (FHMM). Thereafter, the identified states are confirmed by the verification of system states, which are the combination of the working states of individual appliances. The verification step involves comparing the total measured power consumption with the total estimated power consumption. The use of transient features can achieve fast state inference and it is suitable for online load disaggregation. The proposed method was tested on a high-resolution data set such as Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED) and it outperformed other related methods in the literature.

关键词： nonintrusive load monitoring (NILM)     load disaggregation     online load disaggregation     Kalman filtering     factorial hidden Markov model (FHMM)     Labeled hIgh-Frequency daTaset for Electricity Disaggregation (LIFTED)    

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A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

《能源前沿（英文）》 2019年 第13卷 第2期   页码 386-398 doi: 10.1007/s11708-017-0497-z

摘要： The potential to save energy in existing consumer electrical appliances is very high. One of the ways to achieve energy saving and improve energy use awareness is to recognize the energy consumption of individual electrical appliances. To recognize the energy consumption of consumer electrical appliances, the load disaggregation methodology is utilized. Non-intrusive appliance load monitoring (NIALM) is a load disaggregation methodology that disaggregates the sum of power consumption in a single point into the power consumption of individual electrical appliances. In this study, load disaggregation is performed through voltage and current waveform, known as the - trajectory. The classification algorithm performs cropping and image pyramid reduction of the - trajectory plot template images before utilizing the principal component analysis (PCA) and the -nearest neighbor ( -NN) algorithm. The novelty of this paper is to establish a systematic approach of load disaggregation through - trajectory-based load signature images by utilizing a multi-stage classification algorithm methodology. The contribution of this paper is in utilizing the “ -value,” the number of closest data points to the nearest neighbor, in the -NN algorithm to be effective in classification of electrical appliances. The results of the multi-stage classification algorithm implementation have been discussed and the idea on future work has also been proposed.

关键词： load disaggregation     voltage-current (V-I) trajectory     multi-stage classification algorithm     principal component analysis (PCA)     k-nearest neighbor (k-NN)    

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Investigating the effect of online and offline reputation on the provision of online counseling services

《工程管理前沿（英文）》   页码 563-576 doi: 10.1007/s42524-022-0198-0

摘要： The sustainable development of Internet hospitals and e-health platforms relies on the participation of patients and physicians, especially on the provision of health counseling services by physicians. The objective of our study is to explore the factors motivating Chinese physicians to provide online health counseling services from the perspectives of their online and offline reputation. We collect the data of 141029 physicians from 6173 offline hospitals located in 350 cities in China. Based on the reputation theory and previous studies, we incorporate patients’ feedback as physicians’ online reputation and incorporate physicians’ offline professional status as physicians’ offline reputation. Results show that physicians’ online reputation significantly and positively influence their online counseling behaviors, whereas physicians’ offline reputation significantly and negatively influence their online counseling behaviors. We conclude that physician’s online and offline reputations show a competitive and substitute relationship rather than a complementary relationship in influencing physicians to provide online counseling services in Internet hospitals. One possible explanation for the substitute relationship could be the constraints of limited time and effort of physicians.

关键词： Internet hospitals     physicians’ online counseling     online reputation     offline reputation    

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The CatMath: an online predictive platform for thermal + electrocatalysis

《化学科学与工程前沿（英文）》 2023年 第17卷 第12期   页码 2156-2160 doi: 10.1007/s11705-023-2371-3

摘要： The catalytic volcano activity models are the quantified and visualized tools of the Sabatier principle for heterogeneous catalysis, which can depict the intrinsic activity optima and trends of a catalytic reaction as a function of the reaction descriptors, i.e., the bonding strengths of key reaction species. These models can be derived by microkinetic modeling and/or free energy changes in combination with the scaling relations among the reaction intermediates. Herein, we introduce the CatMath—an online platform for generating a variety of common and industrially important thermal + electrocatalysis. With the CatMath, users can request the volcano models for available reactions and analyze their materials of interests as potential catalysts. Besides, the CatMath provides the function of the online generation of Surface Pourbaix Diagram for surface state analysis under electrocatalytic conditions, which is an essential step before analyzing the activity of an electrocatalytic surface. All the model generation and analysis processes are realized by cloud computing via a user-friendly interface.

关键词： CatMath     catalysis     volcano activity plots     Surface Pourbaix Diagrams     online platform    

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Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

《工程管理前沿（英文）》   页码 499-516 doi: 10.1007/s42524-022-0221-5

摘要： The large-scale online supermarket is a newly emerging online retailing mode which brings great convenience to people. Online supermarkets are characterized by having large amounts of daily orders with potentially multiple items, diverse delivery times, and a high order-split rate. Multiple shipments for one order caused by order splitting result in high cost and disturbance and a large number of discarded consumable packages at online retailers and customers, causing severe damage to the environment. Accordingly, research on split-order consolidation fulfilment is critical for the advancement of the practice and theory in the context of highly complex online retailing. This paper first analyzes the characteristics and the challenges associated with the split-order consolidation problem that online supermarket is confronting and summarizes the new operational process of split-order consolidation fulfilment. Then, a time–space network optimization model is built, and its corresponding solution algorithm is presented to solve the questions of where and when to consolidate the split orders. Finally, the computation results of the numerical experiments are provided to verify the effectiveness of the algorithm, and a sensitivity analysis of the relevant parameters is performed. This work highlights the effect of order consolidation processes and fulfilment methods on the order fulfilment decision-making for online supermarkets. The purpose of this article is to help pave the way for more effective online supermarket management and order implementation.

关键词： online supermarkets     split-order consolidation     time–space network     genetic algorithm    

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Screening responsive or resistant biomarkers of immune checkpoint inhibitors based on online databases

Zhen Xiang, Yingyan Yu

《医学前沿（英文）》 2019年 第13卷 第1期   页码 24-31 doi: 10.1007/s11684-019-0679-7

摘要： Immune checkpoint inhibitors are a promising strategy in the treatment of cancer, especially advanced types. However, not all patients are responsive to immune checkpoint inhibitors. The response rate depends on the immune microenvironment, tumor mutational burden (TMB), expression level of immune checkpoint proteins, and molecular subtypes of cancers. Along with the Cancer Genome Project, various open access databases, including The Cancer Genome Atlas and Gene Expression Omnibus, provide large volumes of data, which allow researchers to explore responsive or resistant biomarkers of immune checkpoint inhibitors. In this review, we introduced some methodologies on database selection, biomarker screening, current progress of immune checkpoint blockade in solid tumor treatment, possible mechanisms of drug resistance, strategies of overcoming resistance, and indications for immune checkpoint inhibitor therapy.

关键词： immune checkpoint blockade     sensitivity     resistance     data mining    

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Online gasoline blending with EPA Complex Model for predicting emissions

Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT

《工程管理前沿（英文）》 2018年 第5卷 第2期   页码 214-226 doi: 10.15302/J-FEM-2017022

摘要： The empirical Complex Model developed by the US Environmental Protection Agency (EPA) is used by refiners to predict the toxic emissions of reformulated gasoline with respect to gasoline properties. The difficulty in implementing this model in the blending process stems from the implicit definition of Complex Model through a series of disjunctions assembled by the EPA in the form of spreadsheets. A major breakthrough in the refinery-based Complex Model implementation occurred in 2008 and 2010 through the use of generalized disjunctive and mixed-integer nonlinear programming (MINLP). Nevertheless, the execution time of these MINLP models remains prohibitively long to control emissions with our online gasoline blender. The first objective of this study is to present a new model that decreases the execution time of our online controller. The second objective is to consider toxic thresholds as hard constraints to be verified and search for blends that verify them. Our approach introduces a new way to write the Complex Model without any binary or integer variables. Sigmoid functions are used herein to approximate step functions until the measurement precision for each blend property is reached. By knowing this level of precision, we are able to propose an extremely good and differentiable approximation of the Complex Model. Next, a differentiable objective function is introduced to penalize emission values higher than the threshold emissions. Our optimization module has been implemented and tested with real data. The execution time never exceeded 1 s, which allows the online regulation of emissions the same way as other traditional properties of blended gasoline.

关键词： emissions     reformulated gasoline     online control     global optimization    

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Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

《环境科学与工程前沿（英文）》 2021年 第15卷 第6期 doi: 10.1007/s11783-021-1430-6

摘要：

• UV-vis absorption analyzer was applied in drainage type online recognition.

关键词： Drainage online recognition     UV-vis spectra     Derivative spectrum     Convolutional neural network    

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Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

《能源前沿（英文）》 2015年 第9卷 第4期   页码 472-485 doi: 10.1007/s11708-015-0373-7

摘要： It is well recognized that the voltage stability of a power system is affected by the load model and hence, to effectively analyze the reactive power compensation of an isolated hybrid wind-diesel based power system, the loads need to be considered along with the generators in a transient analysis. This paper gives a detailed mathematical modeling to compute the reactive power response with small voltage perturbation for composite load. The composite load is a combination of the static and dynamic load model. To develop this composite load model, the exponential load is used as a static load model and induction motors (IMs) are used as a dynamic load model. To analyze the dynamics of IM load, the fifth, third and first order model of IM are formulated and compared using differential equations solver in Matlab coding. Since the decentralized areas have many small consumers which may consist large numbers of IMs of small rating, it is not realistic to model either a single large rating unit or all small rating IMs together that are placed in the system. In place of using a single large rating IM, a group of motors are considered and then the aggregate model of IM is developed using the law of energy conservation. This aggregate model is used as a dynamic load model. For different simulation studies, especially in the area of voltage stability with reactive power compensation of an isolated hybrid power system, the transfer function of the composite load is required. The transfer function of the composite load is derived in this paper by successive derivation for the exponential model of static load and for the fifth and third order IM dynamic load model using state space model.

关键词： isolated hybrid power system (IHPS)     composite load model     static load     dynamic load     induction motor load model     aggregate load    

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Quality and readability of online information resources on insomnia

null

《医学前沿（英文）》 2017年 第11卷 第3期   页码 423-431 doi: 10.1007/s11684-017-0524-9

摘要：

The internet is a major source for health information. An increasing number of people, including patients with insomnia, search for remedies online; however, little is known about the quality of such information. This study aimed to evaluate the quality and readability of insomnia-related online information. Google was used as the search engine, and the top websites on insomnia that met the inclusion criteria were evaluated for quality and readability. The analyzed websites belonged to nonprofit, commercial, or academic organizations and institutions such as hospitals and universities. Insomnia-related websites typically included definitions (85%), causes and risk factors (100%), symptoms (95%), and treatment options (90%). Cognitive behavioral therapy for insomnia (CBT-I) was the most commonly recommended approach for insomnia treatment, and sleep drugs are frequently mentioned. The overall quality of the websites on insomnia is moderate, but all the content exceeded the recommended reading ease levels. Concerns that must be addressed to increase the quality and trustworthiness of online health information include sharing metadata, such as authorship, time of creation and last update, and conflicts of interest; providing evidence for reliability; and increasing the readability for a layman audience.

关键词： insomnia     internet     readability     information quality     health literacy     cognitive behavioral therapy     treatment    

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Research and development of a high-quality thermal-stress online monitoring model for the 600 MW turbine

ZHANG Hengliang, XIE Danmei, XIONG Yangheng, SUN Kunfeng

《能源前沿（英文）》 2007年 第1卷 第3期   页码 322-326 doi: 10.1007/s11708-007-0047-1

摘要： To monitor and control its thermal state, a rotor s temperature and thermal stress fields must be calculated in real time. After some reasonable assumptions and simplification, iterative models of the rotor s temperature and thermal stresses were obtained with an integral transform based on a two-dimensional axis-symmetry thermal conduction differential equation. The models can deal with some nonlinear factors such as material and boundary condition. An example is given to compare results computed by the finite element method (FEM) and one-dimensional models. The result shows that the analytical model gained has high quality and the computing course is very short. The iterative formulas could be used not only to analyze the rotor’s thermal states of turbine, but to monitor and control them online. The method adopted can be used to analyze the thermal state of other axis-symmetry objects having similar boundary conditions.
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高速主轴动平衡及其在线控制技术

章 云,梅雪松

《中国工程科学》 2013年 第15卷 第1期   页码 87-92

摘要：

针对机床主轴在线自动平衡控制问题，阐述了高速主轴不平衡识别方法和在线自动平衡技术国内外现状，分析了喷液式在线自动平衡装置原理，设计了喷液式平衡系统，并通过高速主轴实验对该系统的有效性进行了验证。研究结果表明，主轴经过平衡后，不平衡量振动值由1.60 mm/s降至0.34 mm/s，主轴失衡振动得到了有效抑制。

关键词： 高速主轴     在线动平衡     振动控制    

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一种对工业过程复杂液体进行非接触原态在线实时监测方法 Article

段宁, 降林华, 徐夫元, 张歌

《工程（英文）》 2018年 第4卷 第3期   页码 392-397 doi: 10.1016/j.eng.2018.05.005

摘要：

无法对工业过程大量存在的复杂液体在线实时监测导致资源消耗和污染产生过多的现象十分普遍。本文介绍一种对高强包裹性和高盐多组分液体中目标物质进行非接触原态在线实时监测的方法，该方法的原理是建立液体中目标物质浓度（C）、不同浓度目标物质色空间坐标(L*, a*, b*)  和最大吸收波长（λmax）三者之间的关系，利用最佳波长λT下高精度扫描式检测系统表达的液体光强信息直接测定流动液体中目标物质的瞬时浓度。与传统分析方法和现有在线分析方法不同，这种方法无需对样品进行任何预处理（过滤、稀释、定容、氧化/还原、添加显色剂等），可实现测试样品的原态化在线实时监测。将一家大型电解锰企业陈化液（Fe3+浓度0.5~18 mg•L-1， 锰离子35~39 g•L-1，硫酸铵90~110 g•L-1）胶体化过程中三价铁离子浓度的实测结果与离线实验室测试结果相比，二者相对误差小于2%。

关键词： 复杂液体     原态监测     在线实时     非接触识别    

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A prototype online database-enabled design framework for wind analysis/design of low-rise buildings

Dae Kun KWON,Ahsan KAREEM,Deepak KUMAR,Yukio TAMURA

《结构与土木工程前沿（英文）》 2016年 第10卷 第1期   页码 121-130 doi: 10.1007/s11709-015-0329-3

摘要： This study presents a development of an advanced cyberbased database-enabled design module for low-rise buildings (DEDM-LR) which provides estimation of the wind-induced responses for main wind force resisting frames by making direct use of pressure time histories measured at a large number of pressure taps over a suite of building models. These responses may be considered in lieu of code-specified load effects in which the overall accuracy may be influenced by the inherent simplifications in codes. In addition, this new automated approach is particularly attractive and advantageous as it allows a web-based online analysis/design via intuitive user-friendly interfaces for both the input and output in terms of familiar web-style forms that are nowadays very common in most of web-based services. Presently, the DEDM-LR hosts an aerodynamic database developed by the Tokyo Polytechnic University (TPU), Japan for a variety of building configurations like flat, gable, and hip roofs under suburban terrain flow condition with immediate application to other databases. The paper shows the efficacy and validity of the DEDM-LR by walking through its details and examples on selected gable-roofed buildings. The architecture of DEDM-LR platform offers the ability to pool resources by hosting other databases that may become available in the near future.

关键词： wind loads     low-rise building     pressure measurement     aerodynamics     building design     structural response     building codes     information technology (IT)    

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提高在线模型识别平台效率的多目标最优实验设计框架 Article

Arun Pankajakshan, Conor Waldron, Marco Quaglio,  Asterios Gavriilidis, Federico Galvanin

《工程（英文）》 2019年 第5卷 第6期   页码 1049-1059 doi: 10.1016/j.eng.2019.10.003

摘要：

自动化和数字化方面的最新进展使得物理设备与其对应的虚拟设备紧密集成，从而促进了实时建模与多个过程的自动优化。此类系统提供了丰富且不断更新的数据环境，使得系统随着时间的推移做出决策，并将过程推向最优目标成为可能。在许多制造过程中，为了实现整体最优过程，必须同时评估与过程性能和成本有关的多个目标函数。本文提出了一个多目标最优实验设计框架，用于提高在线模型识别平台的效率。所提出的框架能够灵活权衡实验设计解决方案，这些解决方案可以在线计算（即在执行实验期间）。将该框架应用于流动反应器中动力学模型在线识别的案例研究，并确定了微反应器中苯甲酸（benzoic acid, BA）和乙醇酯化的动力学模型。

 

关键词： 多目标优化     最优实验设计     在线    

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标题 作者 时间 类型 操作

State identification of home appliance with transient features in residential buildings

期刊论文

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

期刊论文

Investigating the effect of online and offline reputation on the provision of online counseling services

期刊论文

The CatMath: an online predictive platform for thermal + electrocatalysis

期刊论文

Split-order consolidation optimization for online supermarkets: Process analysis and optimization models

期刊论文

Screening responsive or resistant biomarkers of immune checkpoint inhibitors based on online databases

Zhen Xiang, Yingyan Yu

期刊论文

Online gasoline blending with EPA Complex Model for predicting emissions

Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT

期刊论文

Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm

期刊论文

Estimation of composite load model with aggregate induction motor dynamic load for an isolated hybrid

Nitin Kumar SAXENA,Ashwani Kumar SHARMA

期刊论文

Quality and readability of online information resources on insomnia

null

期刊论文

Research and development of a high-quality thermal-stress online monitoring model for the 600 MW turbine

ZHANG Hengliang, XIE Danmei, XIONG Yangheng, SUN Kunfeng

期刊论文

高速主轴动平衡及其在线控制技术

章 云,梅雪松

期刊论文

一种对工业过程复杂液体进行非接触原态在线实时监测方法

段宁, 降林华, 徐夫元, 张歌

期刊论文

A prototype online database-enabled design framework for wind analysis/design of low-rise buildings

Dae Kun KWON,Ahsan KAREEM,Deepak KUMAR,Yukio TAMURA

期刊论文

提高在线模型识别平台效率的多目标最优实验设计框架

Arun Pankajakshan, Conor Waldron, Marco Quaglio,  Asterios Gavriilidis, Federico Galvanin

期刊论文