This paper present the data for monitoring forest conditions and forest resource management by a local community adjacent to the Doi Laung Wildlife Sanctuary, Huaimai Sub-district, Song District, Phrae Province, Thailand. This study uses quantitative forest surveys, interviews, discussions, and descriptions of the historical context of public participation in forest management including a detailed assessment of field conditions. The findings of a forest resources inventory show that (1) from the three sampled areas, Doi Laung Wildlife Sanctuary has highest richness, followed by village #16 and #14, and (2) Huaikhon #16 implied the process of framework to maintain a healthy condition and response to community needs with collective management. The conceptual model assessment that links key group indicators and drivers is presented based on previously developed assessment models. The framework focuses on the best way to provide forest management, forest fire prevention, and firefighting as well as monitoring of Check-dam construction and other activities that support the recovery of the forest community. This paper demonstrates the general of an environmental assessment framework to applying organize environmental information to facilitate policy decision making for the sustainable development.
The main optimized objects in underground mines include: stope layout, access layout and production scheduling. It is common to optimize each component sequentially, where optimal results from one phase are regarded as the input data for the next phase. Numerous methods have been developed and implemented to achieve the optimal solution for each component. In fact, the interaction between different phases is ignored in the tradition optimization models which only get the suboptimal solution compared to the integrated optimization model. This paper proposes a simultaneous integrated optimization model to optimize the three components at the same time. The model not only optimizes the mining layout to maximize the Net Present Value (NPV), but also considers the extension sequence of stope extraction and access excavation. The production capacity and ore quality requirement are also taken into account to keep the mining process stable in all mine life. The model is validated to a gold deposit in China. A two-dimensional block model is built to do the resource estimation due to the clear boundary of the hanging wall and footwall. The thickness and accumulation of each block is estimated by Ordinary Kriging (OK). In addition, the conditional simulation method is utilized to generate a series of orebodies with equal possibility. The optimal solution of optimization model is carried out on each simulated orebody to evaluate the influence of geological uncertainty on the optimal mining design and production scheduling. The risk of grade uncertainty is quantified by the possibility of obtaining the expected NPV. The results indicate that the optimization model has the ability to produce an optimal solution that has a good performance under the uncertainty of grade variability.
The advance of MEMS-based inertial sensors successfully expands their applications to small unmanned
aerial vehicles (UAV), thus resulting in the challenge of reliable and accurate in-flight alignment for airborne
MEMS-based inertial navigation system (INS). In order to strengthen the rapid response capability
for UAVs, this paper proposes a robust in-flight alignment scheme for airborne MEMS-INS aided by global
navigation satellite system (GNSS). Aggravated by noisy MEMS sensors and complicated flight dynamics,
a rotation-vector-based attitude determination method is devised to tackle the in-flight coarse alignment
problem, and the technique of innovation-based robust Kalman filtering is used to handle the adverse impacts
of measurement outliers in GNSS solutions. The results of flight test have indicated that the proposed
alignment approach can accomplish accurate and reliable in-flight alignment in cases of measurement outliers,
which has a significant performance improvement compared with its traditional counterparts.
Sample-time errors can greatly degrade the dynamic range of a time-interleaved sampling system. In this paper, a novel correction technique employing a cubic spline interpolation is proposed for inter-channel sample-time error compensation. The cubic spline interpolation compensation filter is developed in the form of a finite-impulse response (FIR) filter structure. The correction method of the interpolation compensation filter coefficients is deduced. A 4GS/s two-channel, time-interleaved ADC prototype system has been implemented to evaluate the performance of the technique. The experimental results showed that the correction technique is effective to attenuate the spurious spurs and improve the dynamic performance of the system.