scholarly journals Persuasive Technology and Energy: critical analysis of the state of the art

2015 ◽  
Vol Volume 4, Number 1, Special... (Special Issue...) ◽  
Author(s):  
Grégory Cano ◽  
Yann Laurillau ◽  
Gaëlle Calvary
Keyword(s):  
Energy Consumption ◽  
Critical Analysis ◽  
Design Space ◽  
State Of The Art ◽  
Persuasive Technology ◽  
The State ◽  
Systematic Analysis ◽  
Persuasive Technologies ◽  
International Audience ◽  
Six Dimensions

International audience This paper presents a state of the art and an analysis of existing works dedicated to persuasive technologies for energy consumption. Thanks to a systematic analysis, a set of concepts of persuasion has been identified and organized into a six dimensional design space. In particular, the concept of persuasion function is identified and defined. Six persuasion functions are identified: Mirror, Explain, Recommend, What-if, What-for, Suggest-and-Adjust. This design space is used to characterize the works considered in this state of the art. Cet article dresse un état de l’art et une analyse critique des travaux menés sur la persuasion technologique dans le cadre de la consommation énergétique. De cette analyse systématique est extrait un panel des concepts de persuasion ensuite organisé au sein d’un espace de classification comportant six dimensions dont le concept de fonction de persuasion. En particulier, six fonctions de persuasion sont identifiées et caractérisées : Mirror, Explain, Recommend, What-if, What-for, Suggest- and-Adjust. Cet espace de classification permet de caractériser les travaux de l’art.

scholarly journals Assessing a Multi-Objective Genetic Algorithm with a Simulated Environment for Energy-Saving of Air Conditioning Systems with User Preferences

Symmetry ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 344
Author(s):  
Alejandro Humberto García Ruiz ◽  
Salvador Ibarra Martínez ◽  
José Antonio Castán Rocha ◽  
Jesús David Terán Villanueva ◽  
Julio Laria Menchaca ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Energy Consumption ◽  
Energy Saving ◽  
User Satisfaction ◽  
Air Conditioning ◽  
State Of The Art ◽  
User Preferences ◽  
The State ◽  
Nsga Ii ◽  
Air Conditioning System

Electricity is one of the most important resources for the growth and sustainability of the population. This paper assesses the energy consumption and user satisfaction of a simulated air conditioning system controlled with two different optimization algorithms. The algorithms are a genetic algorithm (GA), implemented from the state of the art, and a non-dominated sorting genetic algorithm II (NSGA II) proposed in this paper; these algorithms control an air conditioning system considering user preferences. It is worth noting that we made several modifications to the objective function’s definition to make it more robust. The energy-saving optimization is essential to reduce CO2 emissions and economic costs; on the other hand, it is desirable for the user to feel comfortable, yet it will entail a higher energy consumption. Thus, we integrate user preferences with energy-saving on a single weighted function and a Pareto bi-objective problem to increase user satisfaction and decrease electrical energy consumption. To assess the experimentation, we constructed a simulator by training a backpropagation neural network with real data from a laboratory’s air conditioning system. According to the results, we conclude that NSGA II provides better results than the state of the art (GA) regarding user preferences and energy-saving.

scholarly journals State of the art in persuasive systems design

2015 ◽  
Vol Volume 4, Number 1, Special... (Special Issue...) ◽  
Author(s):  
Anthony Foulonneau ◽  
Gaëlle Calvary ◽  
Eric Villain
Keyword(s):  
State Of The Art ◽  
Systems Design ◽  
Grand Challenge ◽  
Nouvelles Technologies ◽  
Societal Challenges ◽  
Persuasive Technologies ◽  
International Audience ◽  
Persuasive Systems Design ◽  
Persuasive Systems ◽  
Systems Studies

International audience By their ability to change person's behaviors and attitudes, persuasive technologies appear as promising for overcoming societal challenges. They are based on theories and models from cognitive psychology and social psychology. The earlier works on persuasive technologies, by Fogg, identified many persuasive principles to influence user's behaviors and attitude, and thus useful for building persuasive systems. Studies on persuasive technologies also bring design methods, architectures, persuasive interfaces, and experimentation in numerous domains. The grand challenge is now to adapt persuasion to the complexity and versatility of each individual, thereby maximizing the persuasive effectiveness. We still have to build plastic persuasive technologies. Les technologies persuasives, par leur capacité à agir sur le comportement et les attitudes des individus, sont une piste prometteuse dans de nombreux domaines, comme pour le traitement des grands défis sociétaux (ex : santé, environnement, …) ou le marketing (ex : inciter l’adoption d’un service, …) qui se présentent à nous. Elles s’appuient sur des résultats obtenus en psychologie cognitive et sociale lors des dernières décennies. Les travaux sur la persuasion technologique, initiés par Fogg à la fin des années 90, ont permis d’identifier de nombreux principes de persuasion sur lesquels les nouvelles technologies peuvent s’appuyer pour influencer le comportement de leurs utilisateurs. Ces travaux ont aussi permis de mettre en œuvre des méthodes de conception, des interfaces persuasives et d’expérimenter la persuasion technologique dans des domaines variés. Le plus grand défi reste maintenant d’adapter la persuasion à la complexité et à la variabilité intra-individuelle et interindividuelle, à la versatilité de chaque individu pour optimiser l’efficacité persuasive. Il nous reste à construire des technologies persuasives plastiques.

An Explorative Study of Virtual Product Placement

2011 ◽  
pp. 122-147
Author(s):  
Chia-Hu Chang ◽  
Ja-Ling Wu
Keyword(s):  
Domain Knowledge ◽  
Design Space ◽  
State Of The Art ◽  
Product Placement ◽  
The State ◽  
Explorative Study ◽  
Advertising Message ◽  
Computational Aesthetics ◽  
The Right ◽  
Virtual Product

With the aid of content-based multimedia analysis, virtual product placement opens up new opportunities for advertisers to effectively monetize the existing videos in an efficient way. In addition, a number of significant and challenging issues are raising accordingly, such as how to less-intrusively insert the contextually relevant advertising message (what) at the right place (where) and the right time (when) with the attractive representation (how) in the videos. In this chapter, domain knowledge in support of delivering and receiving the advertising message is introduced, such as the advertising theory, psychology and computational aesthetics. We briefly review the state of the art techniques for assisting virtual product placement in videos. In addition, we present a framework to serve the virtual spotlighted advertising (ViSA) for virtual product placement and give an explorative study of it. Moreover, observations about the new trend and possible extension in the design space of virtual product placement will also be stated and discussed. We believe that it would inspire the researchers to develop more interesting and applicable multimedia advertising systems for virtual product placement.

TA-MCF: Thermal-Aware Fluid Scheduling for Mixed-Criticality System

2018 ◽  
Vol 28 (02) ◽  
pp. 1950029 ◽  
Author(s):  
Tiantian Li ◽  
Tianyu Zhang ◽  
Ge Yu ◽  
Yichuan Zhang ◽  
Jie Song
Keyword(s):  
Energy Consumption ◽  
State Of The Art ◽  
Schedulability Analysis ◽  
Leakage Power ◽  
The State ◽  
Effect Of Temperature ◽  
Processing Capacity ◽  
Energy Aware ◽  
Fluid Scheduling ◽  
Mixed Criticality

Fluid scheduling allows tasks to be allocated with fractional processing capacity, which significantly improves the schedulability performance. For dual-criticality systems (DCS), dual-rate fluid-based scheduling has been widely studied, e.g., the state-of-the-art approaches mixed-criticality fluid scheduling (MCF) and MC-Sort. However, most of the existing works on DCS either only focus on the schedulability analysis or minimize the energy consumption treating leakage power as a constant. To this end, this paper considers the effect of temperature on leakage power and proposes a thermal and power aware fluid scheduling strategy, referred to as thermal and energy aware (TA)-MCF which minimizes both the energy consumption and temperature, while ensuring a comparable schedulability ratio compared with the MCF and MC-Sort. Extensive experiments validate the efficiency of TA-MCF.

scholarly journals Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

2019 ◽  
Vol 9 (20) ◽  
pp. 4237 ◽  
Author(s):  
Tuong Le ◽  
Minh Thanh Vo ◽  
Bay Vo ◽  
Eenjun Hwang ◽  
Seungmin Rho ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Performance Metrics ◽  
Short Term Memory ◽  
State Of The Art ◽  
Electric Energy ◽  
The State ◽  
Short Term ◽  
Electric Energy Consumption ◽  
Energy Consumption Prediction ◽  
Consumption Prediction

The electric energy consumption prediction (EECP) is an essential and complex task in intelligent power management system. EECP plays a significant role in drawing up a national energy development policy. Therefore, this study proposes an Electric Energy Consumption Prediction model utilizing the combination of Convolutional Neural Network (CNN) and Bi-directional Long Short-Term Memory (Bi-LSTM) that is named EECP-CBL model to predict electric energy consumption. In this framework, two CNNs in the first module extract the important information from several variables in the individual household electric power consumption (IHEPC) dataset. Then, Bi-LSTM module with two Bi-LSTM layers uses the above information as well as the trends of time series in two directions including the forward and backward states to make predictions. The obtained values in the Bi-LSTM module will be passed to the last module that consists of two fully connected layers for finally predicting the electric energy consumption in the future. The experiments were conducted to compare the prediction performances of the proposed model and the state-of-the-art models for the IHEPC dataset with several variants. The experimental results indicate that EECP-CBL framework outperforms the state-of-the-art approaches in terms of several performance metrics for electric energy consumption prediction on several variations of IHEPC dataset in real-time, short-term, medium-term and long-term timespans.

scholarly journals State of the Art of Electricity Generation (2007-2017)

2019 ◽  
Vol 119 ◽  
pp. 00019
Author(s):  
Diana Enescu ◽  
Giovanni Vincenzo Fracastoro ◽  
Bruno Panella ◽  
Filippo Spertino
Keyword(s):  
Energy Consumption ◽  
Electricity Generation ◽  
Nuclear Power ◽  
Fossil Fuels ◽  
State Of The Art ◽  
The State ◽  
Electricity Production ◽  
Emerging Trends ◽  
World Energy ◽  
World Energy Consumption

The statistics for world energy consumption and electricity production in the last decade are presented to highlight the increment of the electricity share, compared to thermal usages and transportation, in the energy sector. The main technologies for electricity production from fossil fuels and nuclear power are summarised, indicating their characteristics, current plants, and emerging trends. Finally, the state of the art, regarding the technical applications of photovoltaic (PV) generators and wind turbines (WT), is presented.

scholarly journals Spin Wave Based 4-2 Compressor

2021 ◽  
Author(s):  
Abdulqader Mahmoud ◽  
Frederic Vanderveken ◽  
Florin Ciubotaru ◽  
Christoph Adelmann ◽  
Sorin Cotofana ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Energy Consumption ◽  
Circuit Design ◽  
Wall Motion ◽  
State Of The Art ◽  
Magnetic Tunnel Junction ◽  
Domain Wall Motion ◽  
The State ◽  
Micromagnetic Simulations ◽  
Low Energy Consumption

By their very nature, Spin Waves (SWs) consume ultra-low amounts of energy, which makes them suitable for ultra-low energy consumption applications. In addition, a compressor can be utilized to further reduce the energy consumption and enhance the speed of a multiplier. Therefore, we propose a novel energy efficient SW based 4-2 compressor consisting of 4 XOR gates and 2 Majority gates. The proposed compressor is validated by means of micromagnetic simulations and compared with the state-of-the-art SW, 22nm CMOS, Magnetic Tunnel Junction (MTJ), Domain Wall Motion (DWM), and Spin-CMOS technologies. The performance evaluation shows that the proposed compressor consumes 2.5x less and 1.25x less energy than the 22nm CMOS and the conventional SW compressor, respectively, whereas it consumes at least 3 orders of magnitude less energy than the MTJ, DWM, and Spin-CMOS designs. Furthermore, the compressor achieves the smallest chip real-estate. In summary, the performance evaluation of our proposed compressor shows that the SW technology has the potential to progress the state-of-the-art circuit design in terms of energy consumption and scalability.

Patterns of Development of Family Businesses in Italy

1995 ◽  
Vol 8 (4) ◽  
pp. 255-265 ◽  
Author(s):  
Guido Corbetta
Keyword(s):  
Empirical Research ◽  
State Of The Art ◽  
Family Businesses ◽  
The State ◽  
International Audience

Italy is characterized by a considerable presence of small-, medium-, and even large-sized family businesses. After identifying four types of family businesses, this article analyzes three patterns of development: managerialization, the rise in the number of family partners, and the opening of the capital to nonfamily partners. The article, based on empirical research involving almost seventy Italian enterprises of various sizes, aims at informing an international audience of the state of the art of family businesses in Italy.

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