15138853
A Cluster Warhead Projection-Time Self-Adaptive Algorithm and Simulation
This paper proposes a self-adaptive algorithm for the projection-time of the cluster warhead, which is applicable to the realization of the engineering project with low cost. On the basis of keeping the simplified correction strategy that keeps the constant distance of the projection points and through detecting the deviation of the actual trajectory data at a specific time with respect to the pre-determined trajectory data, this algorithm adopts the simple functional relationship to calculate the correction of the projection time. It adopts Monte Carlo computer simulation method to verify. The circular probable error of the projection point, caused by this algorithm, at the horizontal distance is 8.2 meters. The working content and the flow procedures for the setter and the fuze projection-time self-adaptive controller, which adopts this algorithm, are finally concluded. While being free from influencing the precision, this algorithm can effectively simplify the design of the projection-time self-adaptive projection controller, can reduce the volume and the circuit power consumption, and is applicable to be used on the fuze.
15141835
Design of Range Correction Fuze Trajectory Calculation and Control Device
For a range correction fuze of a rocket range-extended projectile, a DSP-based trajectory calculation and correction controller that is cooperated with MCU is designed to examine the axial acceleration during the flying of a projectile, and to perform the trajectory calculation and the start-up time calculation of a correction mechanism, and to control the action of a resistance-correction mechanism. When designing the hardware and the software, the tasks for DSP and MCU are reasonably assigned. The DSP mainly completes the collection of the acceleration data, the trajectory calculation and the start-up time calculation of the resistance-correction mechanism, while MCU mainly completes the time counting and controls the startup of the resistance-correction mechanism according to the time calculated by DSP. This device also can store the flying acceleration measurement data of the projectile, the trajectory calculation results, etc., which can be adopted as the basic data for analyzing the working correctness of the range correction fuse at the research stage. It is proved in the range test that this device can resist the high-impact overloading during the emission, and can normally complete the tasks such as the trajectory calculation and the resistance-correction mechanism startup control during the flying of the projectile.
36534120
Combining rough sets and data-driven fuzzy learning for generation of classification rules
16916124
Improving throughput by tuning carrier sensing in 802.11 wireless networks
In this paper, we study the impacts of physical carrier sensing and channel rate on the throughput of 802.11 wireless networks with chain topology. Firstly, we show that by adopting different carrier sensing thresholds for the RTS and CTS transmissions, the blocking problem caused by exposed terminals can be greatly alleviated. In 802.11 wireless networks with this modification, the spatial reuse ratio under certain channel rates can be increased to 13, which is the highest value to our best knowledge. Secondly, in multi-rate networks, we demonstrate that 13 is still the best value of spatial reuse ratio in terms of maximizing the achievable data rate under certain conditions. Thirdly, this paper proposes a new method to address the intra-flow contention by decreasing the carrier sensing threshold of the source node. This method requires less response time than that of the traditional method which adjusts the backoff window size. Finally, extensive simulations are implemented in NS2 and the results show that our scheme significantly improves the throughput of 802.11 wireless networks with chain topology.
6497796
FuREAP: a Fuzzy-Rough Estimator of Algae Populations
Abstract Concern for environmental issues has increased in recent years. Waste production influences humanity's future. The alga, an ubiquitous single-celled plant, can thrive on industrial waste, to the detriment of water clarity and human activities. To avoid this, biologists need to isolate the chemical parameters of these rapid population fluctuations. This paper proposes a Fuzzy–Rough Estimator of Algae Populations (FuREAP), a hybrid system involving Fuzzy Set and Rough Set theories that estimates the size of algae populations given certain water characteristics. Through dimensionality reduction, FuREAP significantly reduces computer time and space requirements. Also, it decreases the cost of obtaining measurements and increases runtime efficiency, making the system more viable economically. By retaining only information required for the estimation task, FuREAP offers higher accuracy than conventional rule induction systems. Finally, FuREAP does not alter the domain semantics, making the distilled knowledge human-readable. The paper addresses the problem domain, architecture and modus operandi of FuREAP, and provides and discusses detailed experimental results.
57130682
Combining Dimensional Analysis and Heuristics for Causal Ordering--In Memory of Dr Rob Milne --
This paper is a refined version of the work that the authors presented at the 13th International Workshop on Qualitative Reasoning, jointly with the late Dr Rob Milne. It is dedicated to Rob in recognition of his significant contribution and support for the research described herein. 
 
The paper presents a novel approach for generating causal dependencies between system variables, from an acausal description of the system behaviour, and for identifying the end causal impact, in terms of whether a change in the value of an influencing variable will lead to an increase or a decrease in the value of the influenced variables. This work is based on the use of the conventional method for dimensional analysis developed in classical physics, in conjunction with the exploitation of general heuristics. The utility of the work is demonstrated with its application to providing causal explanation for a benchmark problem that involves a dynamic feedback loop. The results reflect well the common-sense understanding of the causality in such a system that is otherwise difficult to capture using conventional causal ordering methods.
45281264
Optimum Power Assignment for Maximum Throughput in CDMA Personal Communication Systems with Integrated Voice/Data Traffic
A CDMA personal communication system with integrated voice/data traffic is considered, in which the link error performance is controlled according to the voice error rate requirement, and the acceptable data traffic error rate is ensured by ARQ. Optimum power assignment (or allocation) between voice and data users is investigated to maximize the total system throughput. A graphical method (the tangent method) is described to obtain this optimum power allocation. The maximum throughput is expressed as a function of other system parameters. The tangent method is further used to measure the impact of transmission quality on the maximum data throughput. Numerical results and a design example are given for a power controlled wideband IS-95 type wireless personal communication system.