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The subject of algorithms is a core component of Computer Science for undergraduate students. Many of innovative teaching methods have been proposed in the literature and practiced in classrooms aiming to help students learn the subject effectively. This paper reports on our experience in teaching advanced data structures and classic computer science algorithms for year 2 students. For three consecutive...
A Photo acoustic image reconstruction method based on genetic algorithm is first proposed for the circular scanning configuration of photo acoustic tomography when the scanning step is large and the number of detecting position is small. This method can also be used for circular sparse-array detection. It combines the properties of global search and potential parallelism of the genetic algorithm,...
True motion estimation is a well-known technique to find the true object motion trajectory in a video, and it has a lot of applications in computer vision and display systems. However, if the target frame size becomes large, many new design challenges are introduced, such as huge computation, large bandwidth and large on-chip SRAM size requirements. Within the consideration of both algorithm and architecture,...
This paper presents a novice method for human and car identification in H.264/AVC compressed video domain. By analyzing the shape and motion vector homogeneity of the segmented objects, we can identify car and human. Our system consists of three main processes: (1) Moving object segmentation based on clustering MVs and Markov Random Field (MRF) iteration, (2) Feature Extraction based on motion analysis...
There are so many redundant and disordered information in fault diagnosis, which influence the efficiency and real-time seriously. Rough set has much more superiority of processing incomplete and incorrect information, which could resolve this problem. The paper introduces the decision table and Discernibility Matrix and then analyses the attributive reduction algorithm of decision table based on...
Wavelet Analysis method is considered as one of the most efficient methods for detecting DDoS attacks. However, during the peak data communication hours with a large amount of data transactions, this method is required to collect too many samples that will greatly increase the computational complexity. Therefore, the real-time response time as well as the accuracy of attack detection becomes very...
Implementation of iterative QR decomposition (QRD) architecture based on the modified Gram-Schmidt (MGS) algorithm is proposed in this paper. In order to achieve computational efficiency with robust numerical stability, a triangular systolic array (TSA) for QRD of large size matrices is presented. Therefore, the TSA architecture can be modified into iterative architecture for reducing hardware cost...
A generic method for multi-objective optimization for bad data identification is presented based on multi-objective vector evaluated particle swarm optimization (VEPSO) algorithm. This multi-objective VEPSO is made adaptive in nature by allowing its vital parameters to change with iterations. This adaptability helps the algorithms to explore the search space more efficiently. After the bad data are...
In this paper, we construct the cyclic block-type low-density parity-check (CB-LDPC) codes for low complexity hardware implementation. The CB-LDPC code, which is a special class of quasi-cyclic LDPC (QC-LDPC), has an efficient encoding algorithm due to the simple structure of their parity-check matrices. A distribution of irregular parity-check matrix for the CB-LDPC is developed so that we can obtain...
This paper is concerned with the analysis and synthesis problems for linear parameter-varying (LPV) systems. An LPV system resembles a linear system that generally depends on scheduling parameters in a nonlinear fashion. Without any structural assumption on the model, Lyapunov function based analysis and synthesis approaches involve solving infinite number of linear matrix inequalities. Motivated...
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