Journal of the Harbin Institute of Technology
Harbin Institute of Technology
About: Journal of the Harbin Institute of Technology is an academic journal. The journal publishes majorly in the area(s): Fuzzy logic & Control theory. It has an ISSN identifier of 0367-6234. Over the lifetime, 2296 publications have been published receiving 6091 citations.
Papers published on a yearly basis
TL;DR: In this article, the authors present a review of the applicability of partial nitrification of ammonium to nitrite in wastewater treatment, its consequences for application, the current status regarding application, and its future developments.
Abstract: The efficiency of wastewater treatment practices can be significantly improved through the introduction of new microbial treatment technologies. In order to meet increasing stringent discharge standards, new applications and control strategies for the sustainable removal of ammonium from wastewater have to be implemented. Partial nitrification to nitrite was reported to be technically feasible and economically favorable, especially when the wastewater with high ammonium concentrations or low C/N ratios was treated. For successful implementation of the technology, the critical point is how to maintain the partial nitrification of ammonium to nitrite. Nitritation can be obtained by selectively inhibiting the nitrite oxidizing bacteria through appropriate regulation of the system's DO concentration, microbial SRT, pH, temperature, substrate load, operational and aeration pattern, inhibitor and so on. This review addresses the microbiology, its consequences for application, the current status regarding application, and its future developments.
TL;DR: In this paper, a novel active probing methodology COPPOPP (chirp of packet paris) is presented combining self-induced congested principle with packet pair technique for estimating the available bandwidth along a network path.
Abstract: For estimating the available bandwidth along a network path,a novel active probing methodology COPP(chirp of packet paris)is presented combining self-induced congested principle with packet pair technique.After a sequence of packet pairs with gradually reduced intra-pair spacing was transmitted,COPP process would discover all turning bandwidth.Then every bandwidth was bound with a distinct weight according of the degree of interference of the underlying turning point and its neighbors to yield the final estimate by weighted adding up all turning bandwidth.Based on analysis of inter-packet spacing and one-way delay of single packet in a packet pair,the decision rules for determining whether a packet pair is turning point were shown.We also described the weighting process to obtain different weights for different kinds of turning point and discussed the effect of different thresholds on estimation.Simulation results in several cross traffic conditions indicate that COPP provides accurate estimation with relatively fewer overhead compared to other estimating tools.
TL;DR: An improved method was proposed, in which potential field intensity was used instead of force vector to plan the path for the mobile robot, and the destination unreachable problem caused by the closely distance between destination and obstacles was solved.
Abstract: To overcome the shortcomings of the traditional artificial potential field method in mobile robot path planning,an improved method was proposed,in which potential field intensity was used instead of force vector to plan the path for the mobile robot. By addition of coefficient item to repulsion potential field of obstacles, the destination unreachable problem caused by the closely distance between destination and obstacles was solved. Considering the speed-effect of mobile obstacles and mobile robot,the velocity information was introduced into potential field function and an"added potential field"was also introduced to guide the robot to be out of local minimum points. Based on the new method,all the potential field intensity was added by algebraic sum style,then the genetic trust region algorithm was used to search the minimum sum point of potential field intensity within the movement scope which the robot can arrive at during a sampling period,and the global optimization path was composed of all the minimum points. Experiment results show that better path planning for mobile robot in dynamic environment can be achieved by this new method.
TL;DR: A new method to fuse multi sensor information based on the different function field of the sensor is presented, which can solve the problem that one sensor can not solve.
Abstract: Presents a new method to fuse multi sensor information. In some cases, we can not get the accurate result from one sensor. However, we can show all the information of the object in the round by adding another assistant sensor. Using a fuzzy measure method, we can reduce the dependence on the level of information. Based on the different function field of the sensor, we fuse two signals by Knowledge Source Corroboration and Belief Enhancement/Withdraw. The result of the emulation shows that this method can solve the problem that one sensor can not solve.
TL;DR: In this paper, an improved potential field function method was proposed to solve the local minimum problem, where repulsive force and attractive force on are the same straight-line, extra control force depending on obstacle is applied on mobile robot which can make it out of local minimum.
Abstract: The artificial potential field method is a simple and efficient method used in robot path programming.The improved potential field function method couldn′t solve the local minimum problem.An adding extra control force method is proposed.In this method when repulsive force and attractive force on are the same straight-line,extra control force depending on obstacle is applied on mobile robot which can make it out of local minimum.The simulation result proves the efficient of this method.
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