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EN
As the competition among international container terminals has become increasingly fierce, every port is striving to maintain the competitive edge and provide satisfactory services to port users. By virtue of information technology enhancement, many efforts to raise port competitiveness through an advanced operation system are actively being made, and judging from the viewpoint of investment effect, these efforts are more preferable than infrastructure expansion and additional equipment acquisition. Based on simulation, this study has tried to prove that RFID-based real-time location system (RTLS) data collection and dynamic operation of transfer equipment brings a positive effect on the productivity improvement and resource utilization enhancement. Moreover, this study on the demand for the real-time data for container terminal operation have been made, and operation processes have been redesigned along with the collection of related data, and based on them, simulations have been conducted. As a result of them, much higher productivity improvement could be expected
EN
As the competition among international container terminals has become increasingly fierce, every port is striving to maintain the competitive edge and provide satisfactory services to port users. By virtue of information technology enhancement, many efforts to raise port competitiveness through an advanced operation system are actively being made, and judging from the viewpoint of investment effect, these efforts are more preferable than infrastructure expansion and additional equipment acquisition. Based on simulation, this study has tried to prove that RFID-based real-time location system (RTLS) data collection and dynamic operation of transfer equipment brings a positive effect on the productivity improvement and resource utilization enhancement. Moreover, this study on the demand for the real-time data for container terminal operation have been made, and operation processes have been redesigned along with the collection of related data, and based on them, simulations have been conducted. As a result of them, much higher productivity improvement could be expected.
EN
It is extremely important to predict the logistics requirements in a scientific and rational way. However, in recent years, the improvement effect on the prediction method is not very significant and the traditional statistical prediction method has the defects of low precision and poor interpretation of the prediction model, which cannot only guarantee the generalization ability of the prediction model theoretically, but also cannot explain the models effectively. Therefore, in combination with the theories of the spatial economics, industrial economics, and neo-classical economics, taking city of Zhuanghe as the research object, the study identifies the leading industry that can produce a large number of cargoes, and further predicts the static logistics generation of the Zhuanghe and hinterlands. By integrating various factors that can affect the regional logistics requirements, this study established a logistics requirements potential model from the aspect of spatial economic principles, and expanded the way of logistics requirements prediction from the single statistical principles to an new area of special and regional economics
4
Content available Spatial economics model predicting transport volume
100%
EN
It is extremely important to predict the logistics requirements in a scientific and rational way. However, in recent years, the improvement effect on the prediction method is not very significant and the traditional statistical prediction method has the defects of low precision and poor interpretation of the prediction model, which cannot only guarantee the generalization ability of the prediction model theoretically, but also cannot explain the models effectively. Therefore, in combination with the theories of the spatial economics, industrial economics, and neo-classical economics, taking city of Zhuanghe as the research object, the study identifies the leading industry that can produce a large number of cargoes, and further predicts the static logistics generation of the Zhuanghe and hinterlands. By integrating various factors that can affect the regional logistics requirements, this study established a logistics requirements potential model from the aspect of spatial economic principles, and expanded the way of logistics requirements prediction from the single statistical principles to an new area of special and regional economics.
EN
The regional distributed energy system is a comprehensive energy utilization system distributed on the user side, which has the characteristics of low carbon, flexibility, complementation, interconnection and so on. It is an important trend of energy system development in China in the future. Firstly, a multi-agent based information physical fusion model for regional distributed energy systems is proposed in this paper. The optimization model of the regional distributed energy system based on decision and capacity optimization is constructed at the macro and micro levels. At the same time, the regional distributed energy system is regarded as a local area “energy Internet” network. Based on graph theory and the layout optimization of an energy station, load center, energy storage center and transmission network, we constructed the “station network” layout optimization model and designed an optimization algorithm that can realize the global layout optimization of energy station, load center, energy storage center and transmission network. Finally, taking an ecological town in central China as an example, we verify the feasibility and validity of the model and method.
EN
Plant growth depends on soil and water environment of root and atmospheric environment of canopy. With the synergistic effect of environmental factors, it can affect the process of plant energy transportation, material interchange, and physiological accommodation. Aiming at two different micro-environments under flooding and drought condition in paddy field, this article conducted research on the net photosynthetic rate (Pn) change law under water level regulation, and the relationship between Pn and soil and water environment and atmospheric environmental factors. Results showed that Pn descended in all growth stages under flooding or drought treatment. The descending range for lower leakage amount (2 mm/d) was slightly higher than that for higher leakage amount (4 mm/d), and it was slightly higher for heavy drought (-600 mm) with the comparison to light drought (-400 mm). Pn exhibited an impact of quadric relationship on photosynthetic active radiation (PAR) and CO₂ concentration (Ci) – both in the morning and in the afternoon, while it exhibited an impact of quadric relationship on air temperature (Ta) in the morning, and a linear relationship in the afternoon. It showed no obvious relationship on relative humidity (RH) and vapor pressure deficit (VPD). With the comparison of two photosynthetic light response models under water-level regulation, it illustrated the flooding and drought conditions that resulted in Pn decreasing according to the light suppression effect, while it showed the physiological compensation effect after rewatering. Additionally, the new photosyntheticlight response model fit better on the photosynthetic-light response curve than the non-rectangular hyperbolic model.
EN
In this study, a total of 176 tree cores from Schrenk spruce (Picea schrenkiana) were used to establish a tree-ring chronology and a 167-year July–October normalized differential vegetation index (NDVI) for the Alatau Mountains in Central Asia was reconstructed using this newly developed chronology. The tree-ring based NDVI reconstruction tracks the observed data well (r=0.577, p<0.01, n=25) and precisely captures the drought events recorded in historical documents that occurred over a large area in 1917 and 1938. After applying a 21-year moving average, three dense (1860–1870, 1891–1907, and 1950–1974) and three sparse (1871–1890, 1908–1949, and 1975–2006) vegetation coverage periods were found in this reconstruction. Spatial correlation proves that the reconstructed NDVI series contains climatic signals representative for a large area including southern Kazakhstan. Although a comparison between this reconstruction and four climatic reconstructions for southeastern Kazakhstan, Nilka (in the Ili region), the Issyk Lake, and the Aksu region reveals similar variations, the coherence between these reconstructions become weak with the increase in spatial distance from north to south. In addition to the local representation, it was also demonstrated that the newly developed NDVI index can indicate the large-scale circulations over Eurasia, with the higher NDVI associated with stronger westerly winds from the Atlantic to the Alatau Mountains, and the lower NDVI associated with the weaker winds.
EN
As a renewable energy source, microalgae have wide interest as a potential tool to produce biofuel and bioproducts. Prevailing in the local habitat, indigenous microalgae are more successful for wastewater treatment processes. Integrated microalgae-based biofuel and bioproduct production with wastewater treatment is a successful practice of modern research. This report describes the isolation and identification of 61 microalgal strains from lakes, springs, ponds, creeks, and rivers of the gigantic area of Malakand, Pakistan. Our study involves the seasonal existence of Chlorophyta in the area, with most dominant flora identified in the summer season followed by spring, autumn, and winter seasons, respectively. The highest ratio of microalgae was found in stagnant waters followed by slow-running water and running water, respectively. However, algal species were reported from all water bodies throughout the year. Commercially important genera like Chlorella, Scenedesmus, and Chlamydomonas were also reported, attracting the research area for further analysis regarding biofuel, bioproduct production, and simultaneous wastewater treatment.
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