Journal articles on the topic 'Mobilní GIS'

Zymomonas mobilis, because of its fermentative metabolism, has potential food applications in the development of leavened baked goods consumable by people with adverse responses to Saccharomyces cerevisiae. Since Z. mobilis is not able to utilize maltose present in flour, the effect of sucrose addition (2.5 g/100 g flour) on bread dough leavening properties was studied. For comparison purposes, leavening performances of S. cerevisiae with and without sucrose were also investigated. Doughs leavened by Z. mobilis without sucrose addition showed the lowest height development (14.95 ± 0.21 mm) and CO2 production (855 ± 136 mL). When sucrose was added, fermentative performances of Z. mobilis significantly (p < 0.05) improved (+80% and +85% of gas production and retention, respectively), with a dough maximum height 2.6 times higher, results indicating that Z. mobilis with sucrose can be leavened in shorter time with respect to the sample without addition. S. cerevisiae did not benefit the sucrose addition in terms of CO2 production and retention, even if lag leavening time was significantly (p < 0.05) shorter (about the half) and time of porosity appearance significantly (p < 0.05) longer (about 26%) with respect to S. cerevisiae alone. Results demonstrate that in the presence of sucrose, Z. mobilis can efficiently leaven a bread dough, thus providing innovation possibilities in the area of yeast-free leavened products.

ABSTRACT The compatible solute mannosylglucosylglycerate (MGG), recently identified in Petrotoga miotherma, also accumulates in Petrotoga mobilis in response to hyperosmotic conditions and supraoptimal growth temperatures. Two functionally connected genes encoding a glucosyl-3-phosphoglycerate synthase (GpgS) and an unknown glycosyltransferase (gene Pmob_1143), which we functionally characterized as a mannosylglucosyl-3-phosphoglycerate synthase and designated MggA, were identified in the genome of Ptg. mobilis. This enzyme used the product of GpgS, glucosyl-3-phosphoglycerate (GPG), as well as GDP-mannose to produce mannosylglucosyl-3-phosphoglycerate (MGPG), the phosphorylated precursor of MGG. The MGPG dephosphorylation was determined in cell extracts, and the native enzyme was partially purified and characterized. Surprisingly, a gene encoding a putative glucosylglycerate synthase (Ggs) was also identified in the genome of Ptg. mobilis, and an active Ggs capable of producing glucosylglycerate (GG) from ADP-glucose and d-glycerate was detected in cell extracts and the recombinant enzyme was characterized, as well. Since GG has never been identified in this organism nor was it a substrate for the MggA, we anticipated the existence of a nonphosphorylating pathway for MGG synthesis. We putatively identified the corresponding gene, whose product had some sequence homology with MggA, but it was not possible to recombinantly express a functional enzyme from Ptg. mobilis, which we named mannosylglucosylglycerate synthase (MggS). In turn, a homologous gene from Thermotoga maritima was successfully expressed, and the synthesis of MGG was confirmed from GDP-mannose and GG. Based on the measurements of the relevant enzyme activities in cell extracts and on the functional characterization of the key enzymes, we propose two alternative pathways for the synthesis of the rare compatible solute MGG in Ptg. mobilis.

Bioethanol from biomass is one of energy which has a potential as alternative fuel. Bioethanol can be produced by using fungi or bacteria. The research was about the performance of Zymomonas mobilis and Saccharomyces cerevisiae to change corn cobs hydrolyzate into bioethanol by adding microbes to the influence of time and ratio of fermentation had been done. The hydrolyzate were decomposition of corn cobs using Trichoderma reesei and Aspergillus niger. The purpose of this study was to know the conversion of hydrolysis of corn cobs into bioethanol with variation time of fermentation (1 day, 3 days, 5 days, and 7 days) and rate of adding microbes (Zymomonas mobilis : Saccharomyces cerevisiae = 1:1; 1:2 and 2:1) (v/v). The glucose from corn cobs hydrolyzate was 5,869 g/ml. Fermentation wass carried out at 25 0C. Bioethanol which obtained from this study was investigated using gas chromatography. The optimum bioethanol yield was equal to 6,31% by using Zymomonas mobilis : Saccharomyces cerevisiae (2:1) and at the 3 days fermentation time.

Present work reports the fabrication process and functional gas sensing tests of a 100 nm-gap fingers DiElectroPhoresis (DEP) functionalized MOX (Metal OXide) gas sensor array for VOCs detection at low temperature. The Internet of Things (IoT) scenario applications of the chemical sensing-enabled mobiles or connected devices are many ranging from indoor air quality to novel breath analyser for personal healthcare monitoring. However, the commercial MOX gas sensors operate at moderate temperatures (200–400 °C) [1], and this limits the mobile and wearable gadgets market penetration. Nanogap devices may represent the alternative devices with enhanced sensitivity even at low or room temperature. A nanogap electrodes MOX gas sensor array functionalized with 5 nm average size SnO2 nanocrystals with positive dielectrophoresis technique is presented. The single sensor active area is 4 × 4 µm2. The devices exhibited about 1 order of magnitude response at 100 °C to 150 ppm of acetone.

A biotrickling filter was focused on treatment of odorous NH3 gas, along with volatile organic compounds (VOCs) and other odorous gases during cattle manure composting. The biotrickling filter could treat NH3, the main composition, with removal efficiencies of close to 100% because NH4+ was bio-oxidized in the biofilm to NO3− resulting final NO3− concentrations of about 1000 mg/L. Results of polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) revealed that ammonia-oxidizing bacteria, Nitrosospira sp, and nitrite-oxidizing bacteria, Nitrococcus mobilis, coexisted in the biofilm. There were 23 kinds of VOCs detected in the exhaust gas. A significant observation was that the biofilm itself of the biotrickling biofilter released VOCs. The odor concentrations of inlet and outlet gases were 1425 and 110, respectively, with removal efficiency of 92.2%, suggesting that the biotrickling filter was effective for treatment of odorous gases during composting.

Utilization of alternative fuels in the transportation sector has been identified as a potential method for mitigation of petroleum-based energy dependence and pollutant emissions from mobile sources. Traditionally, vehicle tailpipe emissions have served as sole data when evaluating environmental impact. However, considerable differences in extraction and processing requirements for alternative fuels makes evident the need to consider the complete fuel production and use cycle for each fuel scenario. The work presented here provides a case study applied to the southeastern region of the United States for conventional gasoline, reformulated gasoline, natural gas, and methanol vehicle fueling. Results of the study demonstrate the significance of the nonvehicle processes, such as fuel refining, in terms of energy expenditure and emissions production. Unique to this work is the application of the MOBILE5 mobile emissions model in the full-fuel-cycle analysis. Estimates of direct and indirect green-house gas production are also presented and discussed using the full-cycle-analysis method.

AbstractThe Waveney Field lies entirely within UK block 48/17c in the Southern Gas Basin, approximately 46 km north-east of the Norfolk coast line and to the west of the Mobil's Lancelot and Guinevere Fields. The water depth is approximately 75 ft. The field was discovered in 1996 by the 48/17c-12 well and brought on production in 1998 following a 14 month fast track development program and the drilling of two 2500 ft horizontal wells. The gas field is a low relief northwest trending asymmetrical anticline, with a length of 6 kms, and a maximum width of 2 kms. The crest of the structure is at approximately 7748 ft. TVDSS. The original reserves were 84 bcf. The reservoir predominantly comprises aeolian dune sandstones of the Upper Permian Rotliegend with an average reservoir quality range of 7-10% porosity and 0.1-200mD permeability. The hydrocarbons are sourced from down dip Carboniferous Westphalian Coals.

Bioetanol dapat diproduksi dari hasil fermentasi bahan baku yang mengandung karbohidrat. Umbi talas (Colocasia esculenta (L.) Schott) memiliki karbohidrat yang cukup tinggi yakni 23,7% sehingga dapat dimanfaatkan sebagai penghasil bioetanol. Zymomonas mobilis merupakan mikrobia yang dapat mengubah glukosa menjadi etanol. Penelitian ini bertujuan mengetahui konsentrasi inokulum dan waktu fermentasi yang paling optimal untuk menghasilkan bioetanol dari pati umbi talas. Umbi talas dipotong, dikeringkan dan dihancurkan lalu diayak sampai berbentuk tepung. Tepung talas dihidrolisis dengan larutan HCl (1, 3, dan 5 %) lalu diuji kadar gula reduksinya dengan metode Nelson-Somogyi. Tahap fermentasi dilakukan sesuai rancangan percobaan yakni 0, 2, 4, 6 dan 8 hari serta menggunakan konsentrasi inokulum 0, 5, 10, dan 15 %. Hasil fermentasi berupa etanol diukur konsentrasinya menggunakan kromatografi gas. Kadar gula reduksi menunjukkan kadar gula tertinggi ada pada konsentrasi HCl 5 %. Kadar bioetanol sebesar 0,07 % diperoleh pada waktu fermentasi optimal yaitu hari ke-8 dan konsentrasi inokulum paling optimal sebesar 10 %.

The production of gaseous nitrogen compounds, particularly the greenhouse gas nitrous oxide, was investigated in a novel process for ammonium removal from wastewater. The process is based on the adsorption of ammonium on zeolite followed by bioregeneration. The zeolite serves the dual purpose of an ion exchanger and a physical carrier for nitrifying bacteria which bio-regenerate the ammonium saturated mineral. An analysis of the nitrifying population composition in the reactor fed with simulated secondary effluent (NH4+ = 50 mg/l) revealed that about half of the bacteria in the biofilm were common ammonium oxidizers Nitrosococcus mobilis and Nitrosomonas, while the other half were nitrite oxidizers. The amount of nitrogen losses, under different conditions, and the identification of the emitted gases (N2 or N2O) were investigated in two sets of experiments: (I) batch experiments using biomass originating from the ion exchange reactor with and without the addition of nitrite, and (II) continuous experiments using the ion exchange reactor with zeolite as the biomass carrier. In the batch experiments, nitrite and oxygen concentrations were determined as the major parameters responsible for the formation of gaseous nitrogen gas during ammonia oxidation by autotrophic bacteria. Continuous experiments showed that the major parameter significantly affecting nitrogen losses was the amount of ammonium adsorbed by the zeolite during the ion exchange phase. The amount of ammonium adsorbed determines the ammonium concentration during the initial period of bioregeneration, which in turn directly influences oxygen demand and the resulting concentrations of oxygen and nitrite. It was concluded that the formation of nitrogen gas compounds in the ion exchange/bioregeneration process can be eliminated by adjusting the operational regime to have a shorter adsorption phase resulting in smaller amounts of ammonium adsorbed per cycle.

Zusammenfassung Ziel 1) Vergleich zwischen einem mobilen, vollautomatischen Elektrolyt-Blutgasanalysegerät (Abaxis VetScan i-STAT 1) (POC) und einem stationären Elektrolyt-Blutgasanalysegerät (Opti CCA-TS2) (VBG) hinsichtlich ihrer Übereinstimmung bei Elektrolytmessungen bei Ziegen und 2) Evaluierung der Auswirkung des Probentyps auf die von beiden Analysegeräten gemessenen Elektrolytkonzentrationen. Material und Methoden Bei insgesamt 30 Ziegen (21 Patienten und 9 Versuchstiere) wurden Blutproben entnommen und in heparinhaltigen Röhrchen (33 IE/2 ml Natrium-Heparin) (TUBE) und einer heparinisierten Spritze (430 IE/ml Natrium-Heparin) (SYRINGE) gesammelt. Die Proben wurden mittels POC und VBG analysiert und unter Verwendung einer Bland-Altman-Analyse und Pearson-Korrelation verglichen. Der Vergleich zwischen den verschiedenen Probentypen erfolgte unter Verwendung einer ANOVA. Ergebnisse Im Vergleich zwischen den Analysegeräten ergab sich für die Natriumkonzentrationen (Na) ein Bias (95 % Limits of Agreement) von 0,07 mmol/l (–4,37 bis 4,52) für TUBE und –6,13 mmol/l (–11,04 bis 1,22) für SYRINGE. Kaliumkonzentrationen (K) zeigten ein Bias von 0,09 mmol/l (–0,5 bis 0,67) und 0,08 mmol/l (–0,4 bis 0,56) für TUBE bzw. SYRINGE. Bei den Konzentrationen an ionisiertem Kalzium (iCa) wurde ein Bias von 0,05 mmol/l (0,01 bis 0,1) bzw. –0,02 mmol/l (–0,18 bis 0,14) für TUBE bzw. SYRINGE ermittelt.Der Vergleich der unterschiedlichen Probentypen ergab für den POC ein Bias für Na von 5,13 mmol/l (0,18–10,09), für K von 0,04 mmol/l (–0,12 bis 0,2) und für iCa von 0,4 mmol/l (0,12–0,68). Schlussfolgerung und klinische Relevanz Der POC zeigte im Vergleich zum VBG eine klinisch vernachlässigbare Verzerrung der Ergebnisse der Elektrolytanalyse. Beim ionisierten Kalzium fanden sich Unterschiede zwischen den Probentypen, was auf einen Effekt der Heparinkonzentration auf iCa hinweist.

Introduction. Cellulose-containing parts of herbs are an excellent source of alternative energy and can be used to produce biological ethanol. The present research aims at improving this fundamental and promising area of biotechnology. It introduces a new consortium of microorganisms that can saccharify while fermenting the substrate. Study objects and methods. The research featured technical cellulose obtained from Miscanthus sinensis using hydrotropic delignification and oxidation with pertrifluoroacetic acid. The ethanol content in the culture liquid was determined using an Agilent 7890B gas chromatograph with a flame ionization detector. The biocompatibility of the strains was studied by growing a direct co-culture in a dense nutrient medium. Results and discussion. The research objective was to create a new microbial consortium for the single-step production of bioethanol from Miscanthus sinensis cellulose. A set of biocompatibility experiments and cultivation conditions made it possible to select the optimal producers. The two developed microbial consortia required optimal compositions of culture media, which were determined by varying the ratio of components and measuring the yield of ethanol in the resulting culture liquid. Conclusion. The best consortium for Miscanthus sinensis cellulose consisted of Pichia stipites Y7124, Candida shehatae NCL3501, Kluyveromyces marxianus Y-4290, and Zymomonas mobilis 113 at a ratio of 1:1:1:1. The optimal parameters of bioethanol production included: temperature = 35 ± 1°C, pH = 5.2, time = 16 ± 1 h. The most efficient culture medium had the following composition (g/l): glucose – 5.0; peptone – 5.0; yeast extract – 0.4; K2HPO4 – 1.5; (NH)2 HPO4 – 1.5; MgSO4 – 0.5.

<p><strong>Abstract.</strong> A Smart City is based on intelligent exchanges of information that flow between its many different subsystems. This flow of information is analyzed and translated into citizen and commercial services. The city will act on this information flow to make its wider ecosystem more resource-efficient and sustainable. The information exchange is based on a smart governance operating framework designed to make cities sustainable.</p><p>The public administration needs updated and reliable geospatial data which depicts the urban environment. These data can be obtained through smart devices (smartphones, e.g.), human agents (collaborative mapping) and remote sensing technologies, such as UAV (Unnamed Aerial Vehicles). According to some authors, there are four dimensions in a Smart City. The first dimension concerns the application of a wide range of electronic and digital technologies to create a cyber, digital, wired, informational or knowledge-based city; the second is the use of information technology to transform life and work; the third is to embed ICT (Information and Communication Technology) in the city infrastructure; the fourth is to bring ICT and people together to enhance innovation, learning, and knowledge. Analyzing these dimensions, it is possible to say that in all of them the geospatial information is crucial, otherwise, none of them are possible. Considering these aspects, this research intends to use the Smart City concept as a methodological approach using the UFPR (Federal University of Parana) as a target to develop a case study.</p><p>The UFPR has 26 campus in different cities of the Paraná State, south of Brazil. Its structure has 14 institutes. It comprises 11 million square meters of area, 500,000 square meters of constructed area and 316 buildings. There are more than 6,300 employees (staff and administration), 50,000 undergraduate students and 10,000 graduate students. Besides these figures, there are external people who need access to the UFPR facilities, such as deliveries, service providers and the community in general.</p><p>The lack of knowledge about the space and its characteristics has a direct impact on issues such as resources management (human and material), campi infrastructure (outside and inside of the buildings), security and other activities which can be supported using an updated geospatial database. In 2014, the UFPR CampusMap project was started with the indoor mapping as the main goal. However, the base map of the campus was needed in order to support the indoor mapping, the available one was produced in 2000. Thereafter, the campus Centro Politécnico (located in the city of Curitiba) is being used as a case study to develop methodologies to create a geospatial database which will allows to different users the knowledge and management of the space.</p><p>According to Gruen (2013), a Smart City must have spatial intelligence. Moreover, it is necessary the establishment of a database, in particular, a geospatial database. The knowledge of the space where the events happen is a key element in this context. This author also states that to achieve this objective are necessary the following items:</p> <ul><li>Automatic or semi-automated Digital Surface Models (DSM) generation from satellite, aerial and terrestrialimages and/or LiDAR data;</li><li>Further development of the semi-automated techniques onto a higher level of automation; </li><li>Integrated automated and semi-automated processing of LiDAR point clouds and images, both from aerial andterrestrial platforms; </li><li>Streamlining the processing pipeline for UAV image data projects; </li><li>Set-up of GIS with 3D/4D capabilities; </li><li>Change detection and databases updating; </li><li>Handling of dynamic and semantic aspects of city modeling and simulation. This leads to 4D city models; </li><li>LBS (Location Based Services) system investigations (PDAs, mobiles); and </li><li>Establishment of a powerful visualization and interaction platform.</li></ul><p>Some of these aspects are being addressed in this research. The first one is the integration of indoor/outdoor data to helps the space management and provides a tool for navigation between the spaces. The base map was updated through a stereo mapping compilation from images collected using a UAV Phantom 4 from DJI (https://www.dji.com/phantom-4). The use of this technology for data acquisition is not only faster but also cheaper compared to the traditional photogrammetric method. Besides the quality of the images (in this case a GSD – Ground Sample Distance – of 2,5 cm), it can be use in urban areas as a rapid response in emergency situations.</p><p> To georreferencing the image block, it was used 50 control points collected by GNSS (Global Navigation Satellite System) and the software Agisoft Photoscan (http://www.agisoft.com/) to perform the bundle block adjustment with self-calibration. After the processing, the exterior orientation parameters of image block and the tridimensional coordinates of each tie point were calculated simultaneously with the determination of the interior orientation parameters: focal length (f), principal point coordinates (x0, y0), radial symmetric (k1, k2, k3) and decentering distortion coefficients (p1, p2).</p><p> In the mapping production step, the features were extracted through stereo mapping compilation accordingly the standards defined by the Brazilian Mapping Agency. The several layers were edited in GIS software (QGIS) and then the topology was built. Afterward, it was created a spatial database using Postgre/PostGIS. Also, the dense point cloud was generated using SfM (Structure from Motion) algorithms to allow to generate the digital surface model and orthomosaics.</p><p> Meanwhile, a website using HTML5+CSS3&amp;reg; and JavaScript&amp;reg; technologies was developed to publish the results and the first applications. (www.campusmap.ufpr.br). The architecture of this application uses JavaScript&amp;reg;, LeafLet, PgRouting library (to calculate the routes between interest points), files in GeoJson format and custom applications. The indoor database comprises the data about the interior of the buildings and provides to the user some functionalities such as: search for rooms, laboratories, and buildings; routes between points (inside and outside the buildings), floor change. Also, some web applications were developed in order to demonstrate the capabilities of the use of geospatial information in an environment very similar to a city and its problems, e.g. parking management, security, logistics, resources inventory, among others. It was developed a mobile application to provide the indoor user positioning through Wi-Fi (Wireless Fidelity) networks. This, combined with the indoor mapping, will allow the users to navigate in real time inside the buildings. Using the data from the point cloud and the CityGML standard it was developed a 3D model of some buildings. An application to inform crime occurrences (such as robbery, assaults) was also developed so these occurrences can be mapped, and the administration can increase the security of the campus.</p><ol type="a"> <li>Design an interface with functionalities to integrate all applications which are being presented in individual Webpages;</li><li>Develop a visualization tool for 3D models using CityGML;</li><li>Evaluate the potential of UAV images for different applications in urban scenarios;</li><li>Develop an interface for collaborative database update.</li><li>Expand the database to other campus of UFPR and develop new functionalities to different users;</li></ol><p> The “smart city” concept allows to develop an optimized system that use geospatial data to understand the complexity of the urban environments. The use of the geospatial data can improve efficiency and security to manage urban aspects like infrastructure, building and public spaces, natural environment, urban services, health and education. Also, this concept can give a support to the city management agents during the design, realization and evaluation of the urban projects.</p><p>In the present project, we believe these are the first steps to build a connected environment and apply the “smart city” concept into the university administration to make the sustainable use of resources and could suit as an example to some existing problems in public administrations.</p>

The power stable of the converters is actually coming from some milliwatts (as in a cellphone) to dozens of megawatts in an HVDC gearbox body. Along with "classic" electronic devices, power streams, as well as current, are actually utilized to hold relevant information, whereas along with power electronic devices, they lug power. This inverter may magnify source of power like gas- mobiles, little wind turbines, as well as photo-voltaic assortments (i.e. it agrees with for circulated power treatments). The principles of resources and also changes are actually described and also categorized. Coming from the general regulations of resource propinquities, a universal procedure of power converter formation exists.

The universal study reveals that Electromagnetic Frequency (EMF) exposure is upsetting the environment. It focuses keenly on the people residing in the neighboring of the base stations / mobile towers were affected by environmental radiation pollution. The effect of EMF radiation on human life is unusually increasing on dayto-day basis. As the number of customers using mobiles rises, one would see the mobile phone towers / base trans-receiver station (BTS) increases; and this has a great and huge impact on radiation hazards. Mobile phones have the capability of emitting radiations that would affect human tissues and it runs a two-way communication paradigm. Radio Frequency (RF) wave establishes communication around the globe in the mobile network. However, the radiations emitted by RF waves are harmful if absorbed into the human tissues. The most side effects experienced when nearer to these towers are headaches, discomfort, anxiety and other diseases. The radiation hazards are found to be extraordinarily more where the cell towers were installed nearer to educational institutes, healthcare and few residential areas. They were recommended to move / stay away from such areas, the radiations can cause tumors, disturbance of the nervous system and other diseases. The study is to understand the radiation exposure limits that would protect the public health from the EMF exposure. RF radiations were mapped by geographic information system (GIS) based measuring approach that helps in detecting places where users are in health hazards in exposed areas. This helps government and health organization to estimate the distribution of radiation in areas nearer to the location of mobile towers. Realization among the people was made to live and spend less time based on the radiation levels of exposure with the mobile towers. The analysis was carried out by STATA software to measure the poisson exposure of confidence interval. The poisson regression calculated for the mobile towers is 47473.38 and -0.00001 for Andhra Pradesh state respectively. Similarly, the poisson exposure is 19.2096 and CI is found to be 0.0013 to 0.2900 in Telangana state of India

Soumission à Episciences International audience Computers and electronic machines in businesses consume a significant amount of electricity, releasing carbon dioxide (CO2), which contributes to greenhouse gas emissions. Energy efficiency is a pressing concern in IT systems, ranging from mobile devices to large servers in data centers, in order to be more environmentally responsible. In order to meet the growing demands in the awareness of excessive energy consumption, many initiatives have been launched on energy efficiency for big data processing covering electronic components, software and applications. Query optimizers are one of the most power consuming components of a DBMS. They can be modified to take into account the energetical cost of query plans by using energy-based cost models with the aim of reducing the power consumption of computer systems. In this paper, we study, describe and evaluate the design of three energy cost models whose values of energy sensitive parameters are determined using the Nonlinear Regression and the Random Forests techniques. To this end, we study in depth the operating principle of the selected DBMS and present an analysis comparing the performance time and energy consumption of typical queries in the TPC benchmark. We perform extensive experiments on a physical testbed based on PostreSQL, MontetDB and Hyrise systems using workloads generatedusing our chosen benchmark to validate our proposal. Les ordinateurs et les machines électroniques des entreprises consomment une quantité importante d’électricité, libérant ainsi du dioxyde de carbone (CO2), qui contribue aux émissions de gaz à effet de serre. L’efficacité énergétique est une préoccupation urgente dans les systèmesinformatiques, partant des équipements mobiles aux grands serveurs dans les centres de données, afin d’être plus respectueux envers l’environnement. Afin de répondre aux exigences croissantes en matière de sensibilisation à l’utilisation excessive de l’énergie, de nombreuses initiatives ont été lancées sur l’efficacité énergétique pour le traitement des données massives couvrant les composantsélectroniques, les logiciels et les applications. Les optimiseurs de requêtes sont l’un des composants les plus énergivores d’un SGBD. Ils peuvent être modifiés pour prendre en compte le coût énergétique des plans des requêtes à l’aide des modèles de coût énergétiques intégrés dans l’optimiseur dans le but de réduire la consommation électrique des systèmes informatiques. Dans cet article, nousétudions, décrivons et évaluons la conception de trois modèles de coût énergétique dont les valeurs des paramètres sensibles à l’énergie sont définis en utilisant la technique de la Régression non linéaire et la technique des forêts aléatoires. Pour ce fait, nous menons une étude approfondie du principe de fonctionnement des SGBD choisis et présentons une analyse des performances en termes de temps et énergie sur des requêtes typiques du benchmarks TPC-H. Nous effectuons des expériences approfondies basées sur les systèmes PostgreSQL, MonetDB et Hyrise en utilisant un jeu de données généré à partir du benchmarks TPC-H afin de valider nos propositions.