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ENVIRONMENTAL ATTITUDES AND CONSUMER PREFERENCE FOR ENVIRONMENTALLY-FRIENDLY BEVERAGE PACKAGING: THEROLE OF INFORMATION PROVISION AND IDENTITY LABELING IN INFLUENCING CONSUMER BEHAVIOR

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 1,   Pages 95-108 doi: 10.15302/J-FASE-2022478

Abstract:

● Consumer preference for environmentally-friendly beverage packaging

Keywords： China     consumer preference     food and beverage packaging     green identity label     information treatment    

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Development Strategies for New Network Industry

Wang Shuo, Wu Peng, Lu Hua, Huang Tao, Zhang Jidong, Liu Yunjie

Strategic Study of CAE 2021, Volume 23, Issue 2,   Pages 8-14 doi: 10.15302/J-SSCAE-2021.02.002

Abstract:

As an innovation-led, cross-disciplinary frontier field, the new networkThis study examines the development demand for new network technologies and elaborates on solutions forresearch are urgently needed for China’s new network industry.latency/deterministic latency network, network operating system, cloud–network convergence, andprogrammable network.

Keywords： new network     consumer network     production Internet     space–ground integrated network     value analysis    

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E-commerce businessmodel mining and prediction

Zhou-zhou HE,Zhong-fei ZHANG,Chun-ming CHEN,Zheng-gang WANG

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 9,   Pages 707-719 doi: 10.1631/FITEE.1500148

Abstract: that these existing approaches fail to consider the potential relationships both among the consumers (consumerThe challenge is that the links in the network are typically not directly observed, which is addressedby applying information diffusion theory through the consumer-shop network.

Keywords： E-commerce     Business model prediction     Consumer influence     Social network     Sales prediction    

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Global challenges of food safety for China

Joseph J. JEN

Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 3,   Pages 291-293 doi: 10.15302/J-FASE-2017167

Abstract:

Ever since the Melamine event, China has faced challenges of food safety both domestically and globally. With the economic development, the Chinese consumers are demanding high quality, nutritious, and safe foods from the food industry but are not willing to pay higher prices. The Chinese food chain system of mostly small and medium enterprises presents challenges to the government to monitor and implement food safety laws and regulations. The academia and media are learning to take on their responsibilities with some success. Discussions and potential solutions of the global challenges of the five pillars for the food safety in China are presented here.

Keywords： food safety     challenges     food industry     government     academia     media     consumer    

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TRANSFORMATION OF FOOD SYSTEMS: HOW CAN IT BE FINANCED?

Frontiers of Agricultural Science and Engineering 2023, Volume 10, Issue 1,   Pages 109-123 doi: 10.15302/J-FASE-2023483

Abstract:

● The analysis of financing for the transformation of food systems requires first a consideration of costs.

Keywords： financial markets     food systems     development financing     consumer expenditures     public budgets     Sustainable    

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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

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 386-398 doi: 10.1007/s11708-017-0497-z

Abstract: The potential to save energy in existing consumer electrical appliances is very high.To recognize the energy consumption of consumer electrical appliances, the load disaggregation methodology

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

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Techno-economic analysis of the adoption of electric vehicles

Donald KENNEDY, Simon P. PHILBIN

Frontiers of Engineering Management 2019, Volume 6, Issue 4,   Pages 538-550 doi: 10.1007/s42524-019-0048-x

Abstract: Significant advances in battery technology are creating a viable marketspace for battery powered passenger vehicles. Climate change and concerns over reliable supplies of hydrocarbons are aiding in the focus on electric vehicles. Consumers can be influenced by marketing and emotion resulting in behaviors that may not be in line with their stated objectives. Although sales of electric vehicles are accelerating, it may not be clear that purchasing an electric vehicle is advantageous from an economic or environmental perspective. A techno- economic analysis of electric vehicles comparing them against hybrids, gasoline and diesel vehicles is presented. The results show that the complexity of electrical power supply, infrastructure requirements and full life cycle concerns show that electric vehicles have a place in the future but that ongoing improvements will be required for them to be clearly the best choice for a given situation.

Keywords： vehicles     techno-economic analysis     gasoline versus electric powered cars     diesel versus electric cars     consumer    

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Exploring price effects on the residential water conservation technology diffusion process: a case study of Tianjin city

Junying CHU, Hao WANG, Can WANG

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 688-698 doi: 10.1007/s11783-013-0559-3

Abstract: Reforms of the water pricing management system and the establishment of a flexible water pricing system are significant for cities in northern China to tackle their critical water issues. The WATAP (Water conservation Technology Adoption Processes) model is developed in order to capture the water conservation technology adoption process under different price scenarios with disaggregate water demands down to the end use level. This model is explicitly characterized by the technological selection process under maximum marginal benefit assumption by different categories of households. In particular, when households need to purchase water devices in the provision market with the consideration of complex factors such as the life span, investment and operating costs of the device, as well as the regulated water price by the government. Applied to Tianjin city, four scenarios of water price evolutions for a long-term perspective (from year 2011 to 2030) are considered, including BAU (Business As Usual), SP1 (Scenario of Price increase with constant annual rate), SP2 (Scenario of Price increase every four years) and SP3 (Scenario of Price increase with affordable constraint), considering many factors such as historic trends, affordability and incentives for conservation. Results show that on aggregate 2.3%, 11.0% and 18.2% of fresh water can be saved in the residential sector in scenario SP1, SP2 and SP3, respectively, compared with the BAU scenario in the year 2030. The water price signals can change the market shares of different water appliances, as well as the water end use structure of households, and ultimately improve water use efficiency. The WATAP model may potentially be a helpful tool to provide insights for policy makers on water conservation technology policy analysis and assessment.

Keywords： technology selection     model optimization     water price     scenario analysis     consumer behavior    

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Direct writing of electronics based on alloy and metal (DREAM) ink: A newly emerging area and its impact on energy, environment and health sciences

Qin ZHANG, Yi ZHENG, Jing LIU

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 311-340 doi: 10.1007/s11708-012-0214-x

Abstract: Electronics, such as printed circuit board (PCB), transistor, radio frequency identification (RFID), organic light emitting diode (OLED), solar cells, electronic display, lab on a chip (LOC), sensor, actuator, and transducer etc. are playing increasingly important roles in people’s daily life. Conventional fabrication strategy towards integrated circuit (IC), requesting at least six working steps, generally consumes too much energy, material and water, and is not environmentally friendly. During the etching process, a large amount of raw materials have to be abandoned. Besides, lithography and microfabrication are typically carried out in “Cleanroom” which restricts the location of IC fabrication and leads to high production costs. As an alternative, the newly emerging ink-jet printing electronics are gradually shaping modern electronic industry and its related areas, owing to the invention of a series of conductive inks composed of polymer matrix, conductive fillers, solvents and additives. Nevertheless, the currently available methods also encounter some technical troubles due to the low electroconductivity, complex sythesis and sintering process of the inks. As an alternative, a fundamentally different strategy was recently proposed by the authors’ lab towards truly direct writing of electronics through introduction of a new class of conductive inks made of low melting point liquid metal or its alloy. The method has been named as direct writing of electronics based on alloy and metal (DREAM) ink. A series of functional circuits, sensors, electronic elements and devices can thus be easily written on various either soft or rigid substrates in a moment. With more and more technical progresses and fundamental discoveries being kept made along this category, it was found that a new area enabled by the DREAM ink electronics is emerging, which would have tremendous impacts on future energy and environmental sciences. In order to promote the research and development along this direction, the present paper is dedicated to draft a comprehensive picture on the DREAM ink technology by summarizing its most basic features and principles. Some important low melting point metal ink candidates, especially the room temperature liquid metals such as gallium and its alloy, were collected, listed and analyzed. The merits and demerits between conventional printed electronics and the new direct writing methods were comparatively evaluated. Important scientific issues and technical strategies to modify the DREAM ink were suggested and potential application areas were proposed. Further, digestions on the impacts of the new technology among energy, health, and environmental sciences were presented. Meanwhile, some practical challenges, such as security, environment-friendly feature, steady usability, package, etc. were summarized. It is expected that the DREAM ink technology will initiate a series of unconventional applications in modern society, and even enter into peoples’ daily life in the near future.

Keywords： metal (DREAM) ink     direct writing of electronics     printed electronics     liquid metal ink     integrated circuit     consumer    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 6,   Pages 1285-1298 doi: 10.1007/s11709-020-0691-7

Abstract: This article intends to model the multiscale constitution using feedforward neural network (FNN) andrecurrent neural network (RNN), and appropriate set of loading paths are selected to effectively predict

Keywords： multiscale method     constitutive model     feedforward neural network     recurrent neural network    

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Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Frontiers of Chemical Science and Engineering 2012, Volume 6, Issue 4,   Pages 484-502 doi: 10.1007/s11705-012-1221-5

Abstract: This review presents the main works related to each network.

Keywords： process system engineering     integration methods     heat exchange network     mass exchange network     work exchangenetwork    

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Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: To address this issue, this paper explores a decision-tree-structured neural network, that is, the deepconvolutional tree-inspired network (DCTN), for the hierarchical fault diagnosis of bearings.The proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords： bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

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Title Author Date Type Operation

ENVIRONMENTAL ATTITUDES AND CONSUMER PREFERENCE FOR ENVIRONMENTALLY-FRIENDLY BEVERAGE PACKAGING: THEROLE OF INFORMATION PROVISION AND IDENTITY LABELING IN INFLUENCING CONSUMER BEHAVIOR

Journal Article

Development Strategies for New Network Industry

Wang Shuo, Wu Peng, Lu Hua, Huang Tao, Zhang Jidong, Liu Yunjie

Journal Article

E-commerce businessmodel mining and prediction

Zhou-zhou HE,Zhong-fei ZHANG,Chun-ming CHEN,Zheng-gang WANG

Journal Article

Global challenges of food safety for China

Joseph J. JEN

Journal Article

TRANSFORMATION OF FOOD SYSTEMS: HOW CAN IT BE FINANCED?

Journal Article

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

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Journal Article

Techno-economic analysis of the adoption of electric vehicles

Donald KENNEDY, Simon P. PHILBIN

Journal Article

Exploring price effects on the residential water conservation technology diffusion process: a case study of Tianjin city

Junying CHU, Hao WANG, Can WANG

Journal Article

黄幼麟: Dynamic Consumer Preferences for Electric Vehicles — A Longitudinal Analysis (2020-7-12)

10 Jun 2022

Conference Videos

Direct writing of electronics based on alloy and metal (DREAM) ink: A newly emerging area and its impact on energy, environment and health sciences

Qin ZHANG, Yi ZHENG, Jing LIU

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article

Multiscale computation on feedforward neural network and recurrent neural network

Bin LI, Xiaoying ZHUANG

Journal Article

Heat, mass, and work exchange networks

Zhiyou CHEN, Jingtao WANG

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article