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Online since: June 2014
Authors: Yung Jaan Lee, Shih Chien Lin
Above data demonstrates that Taiwan is among the leading contributors to carbon dioxide emissions worldwide.
Therefore, based on existing consumption expenditure surveys, many consumption-based carbon footprint studies analyze household GHG footprint and also track consumer’s expenditure related GHG life cycle analysis by using the national data from "input-output life cycle analysis" (Chavez & Ramaswami, 2013; Jones & Kammen, 2011).
However, only the national carbon dioxide emissions data is used, which lacks the carbon dioxide emissions statistics of each county and city.
However, without relevant legislation, Taiwan’s Environmental Protection Administration has devised only a national GHG registration platform, which provides GHG emissions for organizations that declare such data voluntarily.
Sweden: Stockholm. (2013) [14] Jones, C.M. & Kammen, D.M..in: Quantifying carbon footprint reduction opportunities for U.S. households and communities.
Therefore, based on existing consumption expenditure surveys, many consumption-based carbon footprint studies analyze household GHG footprint and also track consumer’s expenditure related GHG life cycle analysis by using the national data from "input-output life cycle analysis" (Chavez & Ramaswami, 2013; Jones & Kammen, 2011).
However, only the national carbon dioxide emissions data is used, which lacks the carbon dioxide emissions statistics of each county and city.
However, without relevant legislation, Taiwan’s Environmental Protection Administration has devised only a national GHG registration platform, which provides GHG emissions for organizations that declare such data voluntarily.
Sweden: Stockholm. (2013) [14] Jones, C.M. & Kammen, D.M..in: Quantifying carbon footprint reduction opportunities for U.S. households and communities.
Online since: June 2014
Authors: Hong Liang, Yuan Yuan Ma, Yu Mei Guo, Rui Tao Cun
This sub-system mainly includes functions listed as follows: map browsing, element choosing and querying, element editing, thematic map producing, data exporting, data backup and data restoring
(4) Remote Data Management of Sewage Plant This sub-system realizes remote submission, remote managing and analyzing of data from sewage plants.
It organizes the spatial data and property data into a standard relational database, realizes the integration of spatial data and property data.
Data Layering.
It has powerful abilities of spatial data management, spatial analysis, map visualization, data editing and alike.
(4) Remote Data Management of Sewage Plant This sub-system realizes remote submission, remote managing and analyzing of data from sewage plants.
It organizes the spatial data and property data into a standard relational database, realizes the integration of spatial data and property data.
Data Layering.
It has powerful abilities of spatial data management, spatial analysis, map visualization, data editing and alike.
Online since: May 2014
Authors: Wei Li Yu
CNC machining based on application integration and cloud service platform
NC machining based on application integration and cloud service platform is through the cloud computing technology to realize the software, computing, knowledge organization, management and sharing of resources, through the Internet of things and embedded technology realize a physical device such as automatic access, management, monitoring and sharing, and through the virtualization and service-oriented technology standard, for all kinds of CNC manufacture resource, manufacturing capabilities, manufacturing knowledge for automatic configuration and deployment of cloud, construct an autonomous, self-maintenance, dynamic extension system of NC manufacturing service cloud, and with the support of high performance computing technology, to realize automatic NC manufacture of cloud services rent-seeking, intelligent matching, cost optimization, intelligent settlement and payment, data security management, through the task
The purpose of NC machining based on application integration and cloud service platform is the implementation based on knowledge of CNC manufacturing resources and manufacturing capabilities, manufacturing knowledge sharing and according to the need to use, so as to improve the utilization of NC manufacturing resources, implement modern enterprise listed with the fastest speed, best quality, lowest cost, best service, the most clean environment, better flexibility and high knowledge content to meet different customer demand for products and social requirement) goal of sustainable development, promote energy conservation and emissions reduction, realize green and low carbon manufacturing.
With all sorts of NC machine application, if there is no uniform data model or specification, it is difficult to integrate them in a big flat.
The platform is divided into management, application integration layer and base data layer three parts.
Among them, the application of the management is responsible for user management, system management, management of cloud services, data management and cloud service release management, etc., it can be integrated into a larger cloud manufacturing platform, can also operate independently; Basic data layer including CNC machining equipment, cutting tools, software, fundamental data such as manufacturing capability and technology, and knowledge, is provided by the resource provider, application tools developer; Application integration layer is composed of data interface platform and service integration application tool, is responsible for distribution in different locations of the manufacturing resources and integrate the application tools provided by different organizations to provide process design, CNC programming and integration of various kinds of NC machining process related services.
The purpose of NC machining based on application integration and cloud service platform is the implementation based on knowledge of CNC manufacturing resources and manufacturing capabilities, manufacturing knowledge sharing and according to the need to use, so as to improve the utilization of NC manufacturing resources, implement modern enterprise listed with the fastest speed, best quality, lowest cost, best service, the most clean environment, better flexibility and high knowledge content to meet different customer demand for products and social requirement) goal of sustainable development, promote energy conservation and emissions reduction, realize green and low carbon manufacturing.
With all sorts of NC machine application, if there is no uniform data model or specification, it is difficult to integrate them in a big flat.
The platform is divided into management, application integration layer and base data layer three parts.
Among them, the application of the management is responsible for user management, system management, management of cloud services, data management and cloud service release management, etc., it can be integrated into a larger cloud manufacturing platform, can also operate independently; Basic data layer including CNC machining equipment, cutting tools, software, fundamental data such as manufacturing capability and technology, and knowledge, is provided by the resource provider, application tools developer; Application integration layer is composed of data interface platform and service integration application tool, is responsible for distribution in different locations of the manufacturing resources and integrate the application tools provided by different organizations to provide process design, CNC programming and integration of various kinds of NC machining process related services.
Online since: July 2014
Authors: Chen Miao, Bing Quan Sun, Li Wang, Da Wei Zhang
The results showed that the alkaline oxidation-reduction potential of water each age concrete carbonation resistance are greatly improved, 28d carbonation depth is reduced by approximately 21%.
Fig.2 APW concrete carbonation interface Fig.1 Regular concrete section carbonation interface Non-destructive testing of concrete carbonation depth GBJ 82-85 specification elongated prism specimens (small cubic specimens or more), the following disadvantages in the test procedure: 1) Nearby concrete structure (pore diameter, porosity, etc.) is different at different splitting, the lack of homogeneity and therefore the test data, test data at different times lack of continuity. 2) Rough split surface, resulting in uneven color reagent is difficult to determine the boundaries 3) Limited number of samples, is not conducive to the establishment and testing carbonation model.
Carbonation test data in Table 4.
Tab.4 Nondestructive way of test data Carbonation time /d 20 30 40 50 Carbonation depth /mm 12.3 14.2 15.5 16.9 Carbonation time /d 60 70 80 90 Carbonation depth /mm 18.2 19.3 21.8 22.6 According to experimental data in Table 4 can be obtained by regression carbonation equation: Xt = 3.53t0.407
Nondestructive carbide carbide specimens may continue to the next instar (or more) to obtain new data, re-carbonation correction equation that prediction accuracy achieved.
Fig.2 APW concrete carbonation interface Fig.1 Regular concrete section carbonation interface Non-destructive testing of concrete carbonation depth GBJ 82-85 specification elongated prism specimens (small cubic specimens or more), the following disadvantages in the test procedure: 1) Nearby concrete structure (pore diameter, porosity, etc.) is different at different splitting, the lack of homogeneity and therefore the test data, test data at different times lack of continuity. 2) Rough split surface, resulting in uneven color reagent is difficult to determine the boundaries 3) Limited number of samples, is not conducive to the establishment and testing carbonation model.
Carbonation test data in Table 4.
Tab.4 Nondestructive way of test data Carbonation time /d 20 30 40 50 Carbonation depth /mm 12.3 14.2 15.5 16.9 Carbonation time /d 60 70 80 90 Carbonation depth /mm 18.2 19.3 21.8 22.6 According to experimental data in Table 4 can be obtained by regression carbonation equation: Xt = 3.53t0.407
Nondestructive carbide carbide specimens may continue to the next instar (or more) to obtain new data, re-carbonation correction equation that prediction accuracy achieved.
Online since: March 2014
Authors: Oyun Erdene Byambasuren, Feng Hua Bai, Yin Xia Zhang, Hai Quan Su
Heterogeneous catalysts derived from transition metal clusters have demonstrated improved activity and selectivity over transition-metal only catalysts in important catalytic processes, such as the reduction of nitrogen oxides, vapor-phase hydrogenation of phenol, and CO hydrogenation [3, 4].
Crystal data were collected on a BRUKER SMART 1000 CCD detector.
Crystallographic data and experimental details for structural analyses are summarized in Table 1.
Table 1 Crystal data and structure refinement for 1 Empirical formula Formula weight T/K λ/ Å Crystal system Space group a, b, c/Å α, β, γ/° V/ Å3 Z DCalcud (Mg/m3) μ/mm-1 F(000) θ range/° R(int) Data/restraints/ parameters R1 [I>2σ (I)] wR2[I>2σ (I)] R1 (all data) wR2(all data) Goodness-of-fit on F2 Δρmax, min /e·Å-3 Ce4Yb2(μ3-L)4(CF3COO)8(DMF)6Co1 3932.07 298(2) 0.71073 Monoclinic C2/c 21.368(3), 19.996(2), 29.487(3) 90.0000, 102.805(2), 90.0000 12286(2) 4 2.126 4.265 2516 2.726 to 25.326 7484 4266 / 0 / 944 0.0706 0.1944 0.1190 0.2201 1.066 3.443 and -1.954 Table 2 Selected bond lengths /Å for 1 Yb1 O30 2.299(15) Yb1 O21 2.300(12) Yb1 O26 2.305(11) Yb1 O14 2.317(9) Yb1 O29 2.322(10) Yb1 O28 2.324(12) Yb1 O3 2.386(8) Ce1 O22 2.066(15) Ce2 O25 2.135(14) Ce1 O23 2.084(12) Ce1 O31 2.142(14) Ce1 O29 2.179
[9] G.M.Sheldrick, SADABA, Program for Empirical Absorption Correction of Area Detector Data; University of Göttingen, Göttingen, Germany, 1996. 246
Crystal data were collected on a BRUKER SMART 1000 CCD detector.
Crystallographic data and experimental details for structural analyses are summarized in Table 1.
Table 1 Crystal data and structure refinement for 1 Empirical formula Formula weight T/K λ/ Å Crystal system Space group a, b, c/Å α, β, γ/° V/ Å3 Z DCalcud (Mg/m3) μ/mm-1 F(000) θ range/° R(int) Data/restraints/ parameters R1 [I>2σ (I)] wR2[I>2σ (I)] R1 (all data) wR2(all data) Goodness-of-fit on F2 Δρmax, min /e·Å-3 Ce4Yb2(μ3-L)4(CF3COO)8(DMF)6Co1 3932.07 298(2) 0.71073 Monoclinic C2/c 21.368(3), 19.996(2), 29.487(3) 90.0000, 102.805(2), 90.0000 12286(2) 4 2.126 4.265 2516 2.726 to 25.326 7484 4266 / 0 / 944 0.0706 0.1944 0.1190 0.2201 1.066 3.443 and -1.954 Table 2 Selected bond lengths /Å for 1 Yb1 O30 2.299(15) Yb1 O21 2.300(12) Yb1 O26 2.305(11) Yb1 O14 2.317(9) Yb1 O29 2.322(10) Yb1 O28 2.324(12) Yb1 O3 2.386(8) Ce1 O22 2.066(15) Ce2 O25 2.135(14) Ce1 O23 2.084(12) Ce1 O31 2.142(14) Ce1 O29 2.179
[9] G.M.Sheldrick, SADABA, Program for Empirical Absorption Correction of Area Detector Data; University of Göttingen, Göttingen, Germany, 1996. 246
Online since: April 2014
Authors: Jun Ying Zhao, Dong Du, Jian Yuan Lu, Cheng Sheng Wang, Feng Chuang Yu
Task solution
The equipment in the main work, handling and stacking manipulator under the Fig. 6 Palletizing station
operation of the manipulator through multiple CPU internal communication and signal data communication.
System using MELSEC - Q series PLC peripherals for logical processing and data communications.
System cost reduction, between PLC and Robot 1024 words I/O points expand, can reduce auxiliary equipment.
Fig. 9 The data exchange between PLC and robot 3) the control system software (1) GX_Works software in the PLC control software, the interface is shown in figure 10.
Fig.11 Interface of software RT_TOOLBOX 4) more CPU Shared interval, the relationship between the data area as shown in figure 12.
System using MELSEC - Q series PLC peripherals for logical processing and data communications.
System cost reduction, between PLC and Robot 1024 words I/O points expand, can reduce auxiliary equipment.
Fig. 9 The data exchange between PLC and robot 3) the control system software (1) GX_Works software in the PLC control software, the interface is shown in figure 10.
Fig.11 Interface of software RT_TOOLBOX 4) more CPU Shared interval, the relationship between the data area as shown in figure 12.
Online since: December 2013
Authors: Yin Sheng Weng, Long Peng Wang, Dao Ming Sun, He Jian Wang, Hong Liang Tian
The data of load sensing pump is illustrated in Fig.3.
Fig.3: Load Sensing Pump Data Fig.4.
Constant Pressure Pump Data The constant pressure pump is used in the feeding system and lifting system, which is used for drilling boreholes.
The data of constant pressure pump is illustrated in Fig. 4.
The system samples all sensor data and sends them out on time and then renews the display zone.
Fig.3: Load Sensing Pump Data Fig.4.
Constant Pressure Pump Data The constant pressure pump is used in the feeding system and lifting system, which is used for drilling boreholes.
The data of constant pressure pump is illustrated in Fig. 4.
The system samples all sensor data and sends them out on time and then renews the display zone.
Online since: July 2014
Authors: Lei Zhao, Chang Xing Qi, Qiao Ling Dong
Rijndael algorithm has characteristics such as safe, efficient, flexible and easy to use, so the system chooses the algorithm
This system provide basis of face recognition algorithm implementation by using OpenCV, and uses Rijndael algorithm for data encryption, and developed in the.
Algorithm Principal component analysis (pca) is a mathematical method of dimension reduction.
Therefore, principal component analysis (pca) is to find a way, through linear transformation to the original may have a certain correlation between variables into a set of new independent of each other, as far as possible in order to response the original data information.
Calculation steps: 1) The standardization of original data collection: P dimensional random vector x = (x1,X2,...
This module is part of the system to achieve the most difficult, the development way of thinking of the module is to provide three interfaces, a factory class, and a parameter.Fig2 is the module class diagram; Fig2 Diagram of FaceLocker.Core FaceDetector class implements the IFaceDetector interface, FaceRecognizer class implements the IFaceRecognizer interface, FileEncoderAndDecoder class implements the IFileEncoderAndDecoder interface, CoreServiceFactory class implements the interface instance for the above method. 2) FaceLocker.Database:This module provides a system data preservation and access interface, blocked access to the underlying implementation of data storage, and makes the system more flexible implementation strategy.This module implements the data access function, to provide two interface and a factory class, shielding the module implementation details, improve the scalability of the system. 3) FaceLocker:This module is the front-end module system, provide navigation
Algorithm Principal component analysis (pca) is a mathematical method of dimension reduction.
Therefore, principal component analysis (pca) is to find a way, through linear transformation to the original may have a certain correlation between variables into a set of new independent of each other, as far as possible in order to response the original data information.
Calculation steps: 1) The standardization of original data collection: P dimensional random vector x = (x1,X2,...
This module is part of the system to achieve the most difficult, the development way of thinking of the module is to provide three interfaces, a factory class, and a parameter.Fig2 is the module class diagram; Fig2 Diagram of FaceLocker.Core FaceDetector class implements the IFaceDetector interface, FaceRecognizer class implements the IFaceRecognizer interface, FileEncoderAndDecoder class implements the IFileEncoderAndDecoder interface, CoreServiceFactory class implements the interface instance for the above method. 2) FaceLocker.Database:This module provides a system data preservation and access interface, blocked access to the underlying implementation of data storage, and makes the system more flexible implementation strategy.This module implements the data access function, to provide two interface and a factory class, shielding the module implementation details, improve the scalability of the system. 3) FaceLocker:This module is the front-end module system, provide navigation
Online since: June 2011
Authors: Ou Yang Yao, Qiang Hu, Fu Wen Zhang, Zhi Gang Wang
The average data based on multi-parallel tests was used to reduce the error.
According to the thermodynamic datas, Fe is more prone to be oxidized than Sn and Pb.
The data according to EDS analysis showed the amount of surface phosphorous is more than 2000 times as the adding content.
Kim: Solderability Assessment via Sequential Electrochemical Reduction Analysis.
Chapter 10 .(2001), p. 154 [10] Y.Dalun, Thermodynamic Data Handbook of Practical inorganic.
According to the thermodynamic datas, Fe is more prone to be oxidized than Sn and Pb.
The data according to EDS analysis showed the amount of surface phosphorous is more than 2000 times as the adding content.
Kim: Solderability Assessment via Sequential Electrochemical Reduction Analysis.
Chapter 10 .(2001), p. 154 [10] Y.Dalun, Thermodynamic Data Handbook of Practical inorganic.
Online since: June 2013
Authors: Luís Gustavo dos Santos
Although other cost drivers such as aircraft ownership and fuel represent a much larger portion of DOC (refer to figure 1), reduction of maintenance costs are always a fundamental part of any airline plan to increase competitiveness and profitability.
An original equipment manufacturer (OEM) such EMBRAER is continuously looking for opportunities to respond to this need of maintenance cost reduction by its customers.
Regarding the benefits of introducing SHM in commercial aviation, Renee et al. [2] provided cost benefits analysis for 3 different structures (trailing edge, vertical stabilizer and engine mount), as well as indicated the benefits from a non-economic perspective, showing that a significant reduction in the life cycle cost could result in an realistic return on investment.
Nevertheless, EMBRAER understands that built-in tests (BIT) must be implemented as part of any ground support equipment (GSE) that will interrogate the S-SHM sensors installed in the aircraft, in order to evaluate if the data collection and analysis that will be performed as an inspection tasks are valid.
Airplane maintenance manual, introducing information that includes an explanation of the airplane's features and data to the extent necessary for maintenance or preventive maintenance.
An original equipment manufacturer (OEM) such EMBRAER is continuously looking for opportunities to respond to this need of maintenance cost reduction by its customers.
Regarding the benefits of introducing SHM in commercial aviation, Renee et al. [2] provided cost benefits analysis for 3 different structures (trailing edge, vertical stabilizer and engine mount), as well as indicated the benefits from a non-economic perspective, showing that a significant reduction in the life cycle cost could result in an realistic return on investment.
Nevertheless, EMBRAER understands that built-in tests (BIT) must be implemented as part of any ground support equipment (GSE) that will interrogate the S-SHM sensors installed in the aircraft, in order to evaluate if the data collection and analysis that will be performed as an inspection tasks are valid.
Airplane maintenance manual, introducing information that includes an explanation of the airplane's features and data to the extent necessary for maintenance or preventive maintenance.