Window Memoization is a performance improvement technique for image processing algorithms. It is based on removing computational redundancy in an algorithm applied to a single image, which is inherited from data redundancy in the image. The technique employs a fuzzy reuse mechanism to eliminate unnecessary computations. This paper extends the window memoization technique such that in addition t...

Sliding-window aggregation is a widely-used approach for extracting insights from the most recent portion of a data stream. Most aggregation operations of interest can be cast as binary operators that are associative, but not necessarily commutative nor invertible. However, non-invertible operators are nontrivial to support efficiently. The best existing algorithms for this setting require Oplo...

In this paper presents a new algorithm fuzzy based median filter (FBMF) to remove low and high density salt and pepper noise in gray scale Images. Proposed algorithm replaces the noisy pixel by median value when 0’s, 255’s and other pixel values are present in the selected window and when all pixel values are either 0’s or 255’s, or combination of these, then the noise pixel is replaced by fuzz...

In data networking and queuing theory, network congestion occurs when a link or node is carrying so much data that its quality of service deteriorates. Typical effects include queuing delay, packet loss or the blocking of new connections. A consequence of these latter two is that incremental increases in offered load lead either only to small increases in network throughput, or to an actual red...

In accordance with the requirements for home security and safe guard, a new type of intelligent monitoring system is researched and developed. The system is established with CAN bus and wireless as the foundation. Multi-sensor technology is used to improve the alarm algorithm of the system, a new fuzzy neural network is put forward as the classifier. There are four layers in the network, and th...

In order to provide more precise decision-makings for agricultural producers, an intelligent forecasting system is proposed for agricultural applications in this paper, which processes data stream collected from agricultural environment applying WSN (Wireless Sensor Network) technology. Sensor data stream is different from other traditional stream, the former is characterized by real-time, sequ...

In view of the conservatism of the conventional linear matrix inequality (LMI) based fault detection observer design for Takagi-Sugeno fuzzy nonlinear systems with more If-Then rules, an improved fuzzy observer design is presented. The identical transformation of matrix inequalities is employed to reduce the conservatism and the number of LMI constraints, which can accommodate to the models wit...