Search results

Experimental Data Analysis outputs of different materials acoustic emission behaviors are shown in works [6].
Spectrograms obtained were joined into data blocks by time tag.
For the data processing NI-6014 DAQ input/output card and NI BNC-2110 impedance matcher device were used.
Data transfer and power supply are conducted by coaxial cable up to 15 meters long.
Data processing The program part which ties together user interface and data processing procedures is represented by block diagram written in NI LabView language.

In this research we use optical non-contact measuring systems ATOS manufactured by GOM corporation to acquire data points.
Currently, all of RE software are able to handle these scattered points, such as fine reduction, data segment, extract FP etc.
Firstly, point cloud data of a part is captured by using data acquisition devices.
A new segmentation method for point cloud data.
A new segmentation method for point cloud data.

Metal nanoparticles size and shape dependent properties are of interest due to the broad applications of nanoparticles such as catalyst, optical sensors, in data storage and antimicrobial applications [3].
The appearance of surface plasmon resonance (SPR) peak with a maximum at 430 nm provides a convenient spectroscopic signature for the formation of silver nanoparticles indicating a reduction of silver ions and formation of stable nanoparticles [29].
Silver Nitrate to Plant Extract Volume Ratio Nanoparticle production The plant extract contains bio-molecules responsible for the reduction of metal ions to their respective atoms and stabilization of nanoparticles formed [35].
Fourier Transform Infra-Red Spectroscopy Analysis The FT-IR spectra of Eucalyptus corymbia leaf extract and synthesized nanoparticles were done to identify the possible biomolecules responsible for the reduction of the Ag+ ions and capping of the bio-reduced Ag-NPs.
FT-IR spectra of the plant extract reveal that functional groups OH and –C=C– were responsible for reduction and stabilization of the nanoparticles.

The measures include the role of management leadership and quality policy, role of quality department, training, product/ service design, supplier quality management, process management, quality data and reporting, and employee relations.
It is a powerful method for simultaneously pursuing quality, cost reduction, delivery times, and flexibility.
Table 2: Several Versions of the Integrated Models and the Suggested Integrated Model Practice and performance The first model [25] The second model [26] The third model [27] The Suggested Integrated Model Common Infrastructure Practices · Management commitment · Customer relationship · Supp. relationship · Workforce management · Work attitudes · Quality mgmt · Workforce management · Manufacturing strategy · Organisational characteristics · Product design · Information feedback · Plant environment · Management support · Supplier relationship · Workforce mgmt · Problem solving · Employee involvement & empowerment · Supplier relationship · Workplace management · Other continuous improvement tools TQM practices · Product design process · Process flow management · SPC & feedback · Statistical process control · Product design · Customer focus · Product design · Customer focus · Process management JIT practices · Set-up time reduction · Schedule flexibility · Maintenance
· Eqpmt. layout · Kanban · JIT supplier relationship · Kanban · Lot size reduction · JIT scheduling · Set-up time reduction · Set-up time reduction · Focused factory · Group technology · Pull production system · Uniform workload · JIT scheduling · Kanban TPM practices · Equipment management & improvement by teams · Preventive maintenance · Autonomous maintenance · Maintenance prevention · Maintenance management system Manufacturing performance · Perceived quality market outcome · Percent passed final inspection with no rework · Inventory turnover · On-time delivery · Lead time · Cycle time · Cycle time · Quality performance · JIT performance · In process defects · Returns of products · Manufacturing costs · Maintenance costs · Inventory turnover · On-time delivery · Lead time · Cycle time · Space efficiency · Equip. availability · Equip. performance efficiency · Labour productivity · Employee morale and motivation · Accident frequency · Capital
JIT practices interact with infrastructure practices and TQM practices by exposing opportunities for process improvement and reducing the potential for spoilage through the reduction of inventories [27].

Additional points are given for the choice of development in sustainable areas, the availability of transport, reducing the built-up area (for new facilities), the regulation of rainwater flows and reducing paved areas of building, as well as reducing light load on the built-up area and their impact on adjacent areas 2) Water resources – that category includes efficient watering green spaces, innovative wastewater treatment and reduction of water consumption in the operation of the building. 3) Energy and atmosphere of building – prerequisites include fundamental komissing, reducing hydrogen chloride refrigerants in refrigeration and meet the minimum requirements of the standard ASHRAE 90.1-2004 energy saving 4) Materials and resources – Prerequisites include storage, as well as the collection and transportation of raw materials for recycling.
Green building, which was certified by LEED [38] It is planning, that the Active House – the first building that will be certificated by the Green Standard, Reduction in energy consumption is 71.3 % with respect to the normalized parameters.
Based on the data, in areas open certain windows that are integrated into a single management system of the house
Benefits of green building Based on the many marketing research [33], despite the considerable cost and the large investment costs, the following advantages of "green" building: Benefits for user: · Reductions of current payments for lighting and heating · Comfortable environment for the residents, as a reason improve productivity · Creating a more comfortable environment for indoor air quality, as well as thermal and acoustic characteristics; · Reduction of pollution entering the water, soil and air, and as a result, reduce pressures on urban infrastructure Benefits for operators and owners: · reduction in the consumption of electricity (25 %), heat, water (30 %), and, consequently, a decrease in costs for these items; · Reduce maintenance costs by optimizing the object of all internal systems; in the case of a lease – a higher occupancy of buildings and fewer failures due to uncomfortable conditions; · an additional competitive advantage in the marketplace through a recognized
certification results, allowing to publicly declare itself as a "green" company Benefits for developers, engineer and builders: · more competitive project or solution as an environmentally clean and consistent with the principles of sustainable development of the environment; · ensuring that the construction of the object with the modern innovative solutions and technologies that minimize pressure on the environment and people; Benefits for ecology and environmental: · A significant reduction in greenhouse gas emissions, waste and polluted waters; · Expansion and protection of natural habitats and biological diversity; · Conservation of natural resources.

Secondly, test the prediction accuracy, and on this basis, obtained residuals data by fitting the raw data, put it in data as BP neural network model to calculate the it, correct the residual series according to the results of output, then integrate the basic date come from GM (1,1) prediction model based on dynamic time-varying factors and the residual sequence revised BP neural network model , and finally get prediction results.
If there are negative in the original time series data, then add all the data with the absolute value of the minimum negative.
If the original time series data contain zero values, then add all the data to eliminate the zero value in sequence.
(7) (8) is the difference of between the original data and model simulation.
[3] Wang Lijuan: Grey System Based Data Mining Technique and Its Application.

By the good data interface among Pro/E, CAXA and ANSYS, the two and three dimensional geometric models were established.
Fig.2 The graph of the second planetary transmission During the transmission, planetary gears rotate not only around their own axis but also around the axis of the sun gear, so, it is very hard to calculate the system reduction ratio directly.
By the good data interface between CAXA and ANSYS, the two-dimensional geometric model which saved as IGES format by CAXA is imported into ANSYS.
The three-dimensional model of the planetary gear created by Pro/E is imported to ANSYS by the good data interface between them.

Analysis was carried out by aiming at the modular classification, interactive structure and data interface in the framework design for the information data.
According to the data analysis of the investigation results, although the public, especially the youngsters, know little about the traditional culture, they expect to learn about it.
In the data station module, 7 secondary modules including ‘history and humanity’, 27 third-level modules and 68 fourth-level modules were designed.
The design of information data interface module is also quite significant in the overall planning of system framework.
Conclusion analysis and improvement thought Conclusion By directing at a protection system mode for traditional culture based on virtual and augmented reality technology, during the link of framework design for system platform structure, analysis was made for modular classification of information data, arrangement of interactive structure, and interface module of information data.

Image fusion is an intensively used method in applications which require reduction the quantity of information and increase the quality of generated images.
Fusion process tries to select relevant data to be used in a specific application, usually from a large amount of data generated by a series of sensors.

ATOS as optical based 3D scanning-measuring systems are designed to acquire scan data of three-dimensional objects and in that way to obtain the goal.
The data gathering for determined area takes some seconds and leads to one million data points, defining the value of the measured area precisely and accurately.
Result of measuring-digitizinf presented in Fig. 2 (b) contains 18 millions of 3D measuring points, i.e. over 450MB data.
Data for CMM are: longitudinal precision 1 nm, transversal precision 300 nm, measuring distance 5.2 cm and maximal angle 12°.
CMM by means of special software combine data generated by longitudinal movement of the stylus with data collected from the linear scale and reading head in the transversal traverse unit.