On Max-SINR Receiver for Hexagonal Multicarrier Transmission Over Doubly Dispersive Channel

In this paper, a novel receiver for Hexagonal Multicarrier Transmission (HMT) system based on the maximizing Signal-to-Interference-plus-Noise Ratio (Max-SINR) criterion is proposed. Theoretical analysis shows that the prototype pulse of the proposed Max-SINR receiver should adapt to the root mean square (RMS) delay spread of the doubly dispersive (DD) channel with exponential power delay profile and U-shape Doppler spectrum. Simulation results show that the proposed Max-SINR receiver outperforms traditional projection scheme and obtains an approximation to the theoretical upper bound SINR performance within the full range of channel spread factor. Meanwhile, the SINR performance of the proposed prototype pulse is robust to the estimation error between the estimated value and the real value of time delay spread.Comment: 6 pages. The paper has been published in Proc. IEEE GLOBECOM 2012. Copyright transferred to IEEE. arXiv admin note: text overlap with arXiv:1212.579

Sustainable Patterson

The Patterson School Foundation is a nonprofit organization located in Happy Valley, North Carolina. Originally, the Patterson School Foundation operated as a teaching school and farm However, they were forced to discontinue their educational mission in 2009 due to economic difficulties. The Patterson School has partnered with the Nicholas School of the Environment to gain insight regarding development opportunities for their property. Specifically, the Patterson School Foundation has requested an analysis of their property that would investigate the land’s potential for economic and sustainable development. Potential projects must be economical in order to avoid selling parts of their property as debt service. The request for sustainability stems from the Patterson School’s commitment to environmental stewardship. Our team sought to find recommendations that would utilize the preexisting resources at the Patterson School. The foundation has large amounts of land available for development and multiple existing buildings that are currently underutilized. Solutions that could more effectively utilize these resources include renewable energy development and transformation of the school into a sustainability destination. Due to the large amount of land resources available, our team was immediately attracted to renewable energies as a development strategy. However, our research uncovered many possible complications for these projects. First, large-scale solar is not an ideal project for the Patterson School. Large-scale solar energy development would require a large section of land to be dedicated to renewable energy development for multiple decades. The Patterson School is currently not comfortable setting aside large tracts of land for such a long period of time. Similarly, large-scale wind is also not feasible for the Patterson School. The North Carolina Mountain Ridge Protection Act prevents the development of wind turbines larger than 100 feet in height from being developed on mountain ridges. This greatly limits wind power development on mountain ridges, where wind speeds are highest. However, to keep with the sustainability requirement of our task we decided to further investigate small-scale wind and solar development at the Patterson School. We created wind and solar models to provide insight for their decision-making process. Data for the wind model was gathered from the Hickory Regional Airport, which served as a proxy location for the Patterson School. Three years of wind data was analyzed and the observed distribution was used to construct a wind power model. The solar analysis was conducted primarily by using PVWatts, a tool created by the National Renewable Energy Laboratory. The analyses of small-scale wind and solar were revealed to be uneconomic options in isolation. Both the wind turbine and solar arrays had a negative net present value. However, we recommend that the Patterson School Foundation construct a small 1 kilowatt wind turbine and a small 15 kilowatt solar array on their property. These renewable energy plays will be used to increase the overall sustainability of the Patterson School. Additionally, they can be leveraged to bring in revenue streams through the introduction of sustainability classes. Since the sustainable energy projects have negative net present values, other revenue streams needed to be pursued. We examined the possibility of introducing small-scale educational classes at the Patterson School. We chose to examine small-scale educational courses for two reasons. First, the Patterson School has the strong educational background to facilitate this type of project. Additionally, our research suggests that there is a strong demand for small scale courses focusing on sustainability. Our team chose to investigate the logistics of offering classes on permaculture and renewable energy. Permaculture was chosen because the Patterson School has expressed interest in this topic, and because their abundant land resources are ideal for demonstration purposes. Renewable energy was chosen as a course topic because we see a strong demand for these types of courses, and because it can leverage the recommended renewable energy installations. To determine the overall economic benefit of the recommended projects a financial model was created. This model considered all expected costs and revenue streams incurred by the renewable energy projects and small-scale educational classes. The model assumes the fixed costs of the projects would be incurred at year zero. Classes are assumed to begin with an enrollment of 10 students per class and grow at a rate of 20 percent each year, until a predetermined class capacity is reached. The variable cost of the course is calculated to grow alongside the class as capacity increases. Under these assumptions the simple payback period of the portfolio was found to be three years when no discount rate was applied. When discounted at a rate of six percent the simple payback period increased to three and half years. After this point in time revenues will grow until the eighth year. After the eighth year, the revenue stream is expected to be steady and generate 52,038 dollars each year. Due to the strong economic performance of the portfolio we recommend that the Patterson School install small-scale renewable energy systems on their property. Additionally, we recommend that the Patterson School introduce small-scale educational courses, starting with classes on permaculture and renewable energy. Our analysis suggests that if the Patterson School Foundation follows these recommendations they will see an increase in the overall sustainability of their organization. Additionally, the portfolio of projects will pay for itself in under four years. This report will examine each project in detail. The proposed plan for the Patterson School takes into consideration the strengths, weaknesses, opportunities, and risks associated with each recommendation

Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region

Sequential change point detection for multivariate autocorrelated data is a very common problem in practice. However, when the sensing resources are limited, only a subset of variables from the multivariate system can be observed at each sensing time point. This raises the problem of partially observable multi-sensor sequential change point detection. For it, we propose a detection scheme called adaptive upper confidence region with state space model (AUCRSS). It models multivariate time series via a state space model (SSM), and uses an adaptive sampling policy for efficient change point detection and localization. A partially-observable Kalman filter algorithm is developed for online inference of SSM, and accordingly, a change point detection scheme based on a generalized likelihood ratio test is developed. How its detection power relates to the adaptive sampling strategy is analyzed. Meanwhile, by treating the detection power as a reward, its connection with the online combinatorial multi-armed bandit (CMAB) problem is formulated and an adaptive upper confidence region algorithm is proposed for adaptive sampling policy design. Theoretical analysis of the asymptotic average detection delay is performed, and thorough numerical studies with synthetic data and real-world data are conducted to demonstrate the effectiveness of our method

Research on wear prediction of piston/cylinder pair in axial piston pumps

The piston/cylinder pair is the critical lubricating interface of axial piston pumps. It suffers from excessive wear, especially under high output pressure. The performance degradation of the piston/cylinder pair is significant to be clarified. In this paper, a wear prediction method of the piston/cylinder pair is established by coupling the load-bearing and lubrication parameters calculation model and the wear calculation model. The models are validated through experiments. The experimental and simulated results show that the wear of two ends of the cylinder bore is severe in the specific ranges of circumferential angle. The time-varying wear process of the piston/cylinder pair can be obtained by using this method; therefore, the maintenance time can be predicted