Advanced Materials Research
Vols. 179-180
Vols. 179-180
Advanced Materials Research
Vol. 178
Vol. 178
Advanced Materials Research
Vol. 177
Vol. 177
Advanced Materials Research
Vols. 175-176
Vols. 175-176
Advanced Materials Research
Vol. 174
Vol. 174
Advanced Materials Research
Vol. 173
Vol. 173
Advanced Materials Research
Vols. 171-172
Vols. 171-172
Advanced Materials Research
Vols. 168-170
Vols. 168-170
Advanced Materials Research
Vols. 163-167
Vols. 163-167
Advanced Materials Research
Vols. 160-162
Vols. 160-162
Advanced Materials Research
Vol. 159
Vol. 159
Advanced Materials Research
Vol. 158
Vol. 158
Advanced Materials Research
Vols. 156-157
Vols. 156-157
Advanced Materials Research Vols. 171-172
Paper Title Page
Abstract: As a new emerging web, semantic web, has recently drawn considerable attention from both academic and industry field. Nowadays, RDF, RDF Schema, OWL etc. have become commonly used languages in the Semantic Web. This paper describes the ontology language and description logic, shows the relationship of them, and finally presents a reasoning path for transitive closure in an ontology document.
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Abstract: In this paper,we presents two methods to forecast secular trend and seasonal variation time series problems respectively. The revised fuzzy time series method uses Song and Chrisom’s first-order time-invariant model to predict such linguistic historical data problems. This method obtains a better average error than the error in Song and Chrisom’s method. The method using fuzzy regression theory solves the shortcoming that fuzzy time series method could not work in dealing with seasonal variation time series problems.
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Abstract: The helath condition of rotor has been greatly concerned in rotating machinery. But for the lack of information, it is very difficult to judge the actual conditon. Based on the fuzzy and grey characteristics between faults and symptoms, a new method integrated with fuzzy clustering and grey relation analysis was put forward to identify the condition of rotor system. Firstly, eight features, such as average value, peak-peak value, variance value, virtual value and etc., were extracted from the vibration signal of rotor system. Then, fuzzy C-means algorithm was used to cluster forty samples into 4 clusters, meanwhile, the clustering center was acquired and regarded as standard pattern matrix. Finally, the grey relation degree was calculated between pattern to be inspected and the standard pattern matrix. Using this method, the unbalanced conditions of rotor system was precisely identified, which shows that the integrated method is valid and practicable.
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Abstract: The effect of heat recovery ventilation on indoor temperature, carbon emissions and energy efficiency of variable refrigerant volume (VRV) system in a hotel building were investigated. The distribution of temperature in different zones of the building was tested, and energy consumption of this VRV system was analyzed. The results show that the VRV air conditioning system can meet the heating and cooling request of many rooms while at the same time maintain high energy efficiency. This system reduces thermal pollution for the outdoor environment greatly. It is one kind of highly effective energy conversion and utilization system.
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Abstract: At present, some scholars have provided the attribution reduction algorithms of incomplete decision table. The time complexity of many algorithms are .To cut down the time complexity of the algorithms for computing attribution reduction , the definition of discernibility matrix based on positive region and the corresponding definition of the attribution reduction are provided. At the same time, it is proved that the attribution reduction is equivalent to the attribution reduction based on the positive region. The discernibility matrix is simplified for not comparing the objects between .On this condition, a efficient algorithm for computing attribution reduction is designed with the simplified discernibility matrix, whose time complexity is .At last, an emulate example is used to illustrate the efficiency of the new algorithm.
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Abstract: Large-scale public buildings have high energy density, which take big part of the gross energy consumption in buildings in China. It is still in attempting stage about the strategy of energy conservation in air conditioning systems. The objective of this study is to investigate that how to appropriately divide central air conditioning system zoning by using simulation software to calculate the basis dynamic temperature and load in typical large-scale public buildings. Effects of weather conditions, building envelope conditions and building structure on large-scale public building energy consumption were analyzed in this simulation. The results show that the building load is the fundamental factor involved in air conditioning system zoning. Surplus heat recovery in inner zone is also recommended to maintain inner zone comfort and energy conservation. This work provides the theoretical and technological basis for study on central air conditioning system zoning and thermal comfort for large-scale public building.
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Abstract: Heat transfer model of buried pipe heat exchanger is established first, and solved by the ANSYS finite element simulation software. Model is verified by experiment, average error is 6.4%. On the above basis, return water temperature of buried pipe and soil temperature are analyzed during whole operation. Through whole cooling season, outlet water temperature of buried pipe increased by 6.7°C, up to 21.2°C. After 45 days on transition season, temperature reduced 3.2°C, up to 18°C. Within one year, temperature difference is above 1.1°C before-and-after heating and cooling operation. It reveals that soil temperature cannot fully recover only by natural heat conduction and soil heat storage appears, which should be paid more attention in the project.
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Abstract: This paper studies multi-vehicle and multi-cargo loading problem under the limited loading capacity. Hybrid genetic simulated annealing algorithm is used to get the optimization solution. Firstly, adopt hybrid coding so as to make the problem more succinctly. On the basis of cubage-weight balance algorithm, construct initial solution to improve the feasibility. Adopt the improved non-uniform mutation so as to enhance local search ability of chromosomes. Secondly, through utilizing Boltzmann mechanism of simulated annealing algorithm, control crossover and mutation operation of genetic algorithm, search efficiency so as to improve the solution quality of algorithm. Finally, the example can be shown that the above model and algorithm is effective and can provide for large-scale ideas to solve practical problems.
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Abstract: The dipole spacing can directly affects the detecting sensitivity and accuracy in the landfill leakage detection by the high voltage direct current method. Based on the high voltage DC detecting model, the impact of dipole spacing on locating leaks is analyzed taking a single leak and multiple leaks as example. The results show that the greater the dipole spacing is, the higher the detecting sensitivity is; the smaller the dipole spacing is, the higher the detecting accuracy is. For multiple leaks, only one leak can be located when the dipole spacing is greater than the distance between the two leaks. In order to detect all leaks correctly, the dipole spacing should be smaller than the distance between the two leaks.
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Abstract: The soccer robot assembly system belongs to the intelligence robot assembly system, this article take the YSU soccer robot assembly system as a platform, proposed based on the dynamic grid and the color indexed list union multi-objective reconnaissance method, improved in the original system in the multi-objective search process target acquisition slow and easy to lose the goal the situation.
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