Analyzing spatiotemporal changes in land use and land cover could provide basic information for appropriate decision-making and thereby plays an essential role in promoting the sustainable use of land resources, especially in ecologically fragile regions. In this paper, a case study was taken in...

Decadal to centennial land use and land cover change has been consistently singled out as a key element and an important driver of global environmental change, playing an essential role in balancing energy use. Understanding long-term human-environment interactions requires historical...

In this article, a novel family of iterated function system (IFS) was introduced to outline a 2D graphical representation of protein sequences, which incorporates with various physicochemical properties of amino acids. Then a mathematical description was suggested to quantificationally compare...

The innovative motor uses seawater pressure energy, a green and renewable energy, to drive the underwater equipment. In this paper, the motor is employed in a seafloor sediment corer and drives the corer to operate as a pile-driver. The structure and working principles of the motor are briefly...

A great number of models have been proposed to investigate the deterioration inventory. However, most of models assume that a fixed physical quantity of items deteriorates over time, the quality of items does not decay before their expiration dates. In practice, the quality and physical quantity...

China faced the greatest challenge in balancing its economic growth, energy and resource security as well as environmental pollution. The energy-intensive industries, which used to be the major force driving China׳s economic growth, had seriously exhausted the countries׳ natural resources and...

This paper employs the quadratic directional output distance function to derive shadow prices of China’s aggregate carbon emissions at the province level between 1997 and 2010. The empirical results indicate that the national weighted average shadow price presents an “N-shape” curve across...

This paper examines the driving forces for reducing China’s CO2 emission intensity between 1998 and 2008, utilizing the logarithmic mean divisia index (LMDI) technique. By first grouping the CO2 emissions into two categories, those arising from activities related to the electric power industry...

Annual load forecasting is very important for the electric power industry. As influenced by various factors, an annual load curve shows a non-linear characteristic, which demonstrates that the annual load forecasting is a non-linear problem. Support vector regression (SVR) is proven to be useful...