Search results

Table 2 and Table 3 list the streams and their input data as well as the unit operation models and their input data, respectively.
The input data was assumed based on the technology available for 500 ton per day incineration power plant.
Streams and their input data Stream Function Input data MSW Fresh MSW - 20,833 kg/h, 25°C and 1 bar - Average value of proximate and ultimate analysis AIR Combustion air - 180°C and 1 bar - Mass flow rate is calculated by defining the combustion temperature to be 850°C (T-SPEC) FW Feedwater to HRSG - 85°C and 1 bar Table 3.
Base on general data, the generator efficiency for converting mechanical work to electrical power is ranged from 0.90 to 0.99 [10].
It should be noted that the NOx is lower than emission standard, therefore NOx reduction strategy such as SCR or SNCR is not required.

Introduction Hemorrhagic shock (HS), defined as a reduction in the perfusion of vital organs, remains the dominant cause of death after trauma injury [1].
The sensor part collects the heart rate (HR), systolic BP (SBP) and buccal PCO2 of the patients in real time and transmits data to the control part.
The control part receives the data and calculates the appropriate rate of fluid resuscitation.
Flow chart diagram of the system The detailed procedure is as follows: (1) signal processing: the data form the sensor part is first pre-processed which includes removing/deleting missing values, sampling data, checking/removing outliers, calculating descriptive statistics and smoothing/filtering data to provide the cleaned data for the diagnosis process; (2) input saturate processing: the input data is further set as ‘Normal’, ‘Mild’, ‘Moderate’ and ‘Severe’ based on a fuzzy model [9]; (3) fuzzy control decision: a set of rules, which are derived from all possible levels of hemorrhage and clinical experience of treatment, are designed to analyze the data mentioned above and provide treatment advice in real time according to the patient’s status; (4) output saturate processing: the treatment advice is finally defuzzied to ‘No’, ‘Low’, ‘Middle’ and ‘Fast’ which helps the on-scene rescuers adjust the rate of the pump for optimal fluid resuscitation.
Arefianc, Estimating the depth of anesthesia using fuzzy soft computation applied to EEG features, Intelligent Data Analysis, (2008) 393-407 [10] William T.

Table 1 Car Data Car Price in US$ Re-sale Value in US$ Mileage in km/lit.
The collected input data are shown in Table 3.
Table 3 Input data Supplier Total Shipment Received % of Acceptance % on Schedule Cost Reduction Suggestions Price/ Unit A 100 90 80 1 40 B 60 80 90 1 50 C 50 70 100 3 60 AHP: Pairwise comparisons are made between suppliers and also between criteria.
FL provides a method to make definite decisions based on imprecise and ambiguous input data.
Decision making process in the tourism sector such as choosing the location from several alternatives of a hotel using past data and applying one or more ANNs to forecast probable future socio-economic data to arrive at the best alternative or choosing the most convenient marketing plan by creating a projection of the future socio-economic data.

Both of these functions rationalized values for calculating input data outputs.
The main idea behind using neural networks to model a correlation is the ability to learn from past data and generalize when responding to new data.
The following are the steps of the neural network modeling: 2.2.1 Collection of Data The first step in neural network modeling is collection of data.
The data are necessary to train the network and estimate its ability to generalize.
The data points obtained in this case are listed in Table 2.

Data was collected with 256 data points per line.
Data represents the mean percentage of HES cell colonies from eight plates that stained positive throughout for high alkaline phosphatase activity +/-SEM (note: data for "textured" substrate refers to a mean percentage of cells staining positive for AP on all six patterned surfaces).
Data represents the mean percentage of HES cell colonies from nine plates that stained positive throughout for high alkaline phosphatase activity +/-SEM (note: data for "textured" substrate refers to a mean percentage of cells staining positive for AP on all three patterned surfaces).
Discussion These data show that topographical features of the nanoscale level impact HES cells profoundly.
Our data suggest that surface topography represents a fundamental and important parameter that can be exploited in the culture of human embryonic stem cells.

Remember the data for nickel diffusion in silver measured by Bernardini group.
Bokstein: All these data are tracer data?
You obtained extraordinary data on iron grain boundary diffusion in copper.
Divinski: There are some data from Cermak group.
Really, the most of the simulations data are for very special grain boundaries, for very obvious reasons.

Reduction in Fe3O4 and Fe2O3 is accordingly observed.
Apparently from data in Fig.2, the fine-grained structure is formed mainly in the processes, which have been carried out in zero electrical fields.
It corresponds to data in Fig.3 where the coercive force value is large in the absence of the field, and noticeably decreases with field strength.
XRD data showed clear differences between the metallic and non-metallic parts.
Furthermore, we can infer from the X-ray data that the reaction proceeds via intermediate phases.

The most promising way of verifying these experimental research data is computer simulation of structures, also during a fire.
Despite these advancements, there remains a gap in integrating physical damage data with predictive modeling for war-damaged buildings.
The proposed methodology integrates numerical modeling, field observation data, and structural analysis tools to provide a practical framework for post-blast assessment and reconstruction planning.
Methods of Inspection: – Familiarization with the object, available project and technical documentation; – Analysis of initial data; – Conducting visual and instrumental inspections of the building's structural elements, engineering systems, and the object as a whole; – Clarification of operating conditions; – Identification and documentation of existing damage based on the conducted inspection; – Analysis of inspection results and preparation of conclusions with classification of the building according to the specified groups, as well as providing final recommendations for priority and emergency measures.
Experimental and instrumental surveys of the damaged building confirmed the reduction in concrete strength, the disruption of the structure of frame elements, and the need for major repairs or strengthening of several structural components.

The minimum cut-sets leading to series-parallel reduction of such systems were constituted into criteria and their reliability maximised while minimising cost of improving the system’s reliability.
In general, MCSs are not pair-wise mutually exclusive, therefore for some ; which suggests that component mixing is a likely feature of this type of series-parallel reduction and distinguishes it from the standard series-parallel system.
The minimum reliability value of a component may be taken as the current reliability value of the component which can be obtained from the component’s failure data and its corresponding statistical distribution.
Coit, Data Clustering of Solutions for Multiple Objective System Reliability Optimization problems, Quality Technology and Qualitative Management Journal, Vol. 4 No.2 (2007) pp 35-54 [12] D.

GPS was used for collecting driving data of location, distance, vehicle speed and acceleration.
Driving data and emission data were aligned firstly before data analysis.
The data belong to each road type was selected and separated based on GPS data.
Combining particle emission, exhaust flow data and driving data, the results of particle number and mass emission ratio were calculated.
Results and Discussion Driving Data in Road Types.