No abstract

Ant algorithm is a meta-heuristic approach successfully applied to solve hard combinatorial optimization problems. It is also feasible for clustering analysis in data mining. Many researches use ant algorithms for clustering analysis and the result is better than other heuristic methods. In order to improve the performance of the algorithm, the artificial immune system is utilized to strengthen the ant algorithm for clustering analysis. In this paper, we proposes a new algorithm for clustering problem, the immunity-based Ant Clustering Algorithm (IACA). IACA using the artificial immune system and ant algorithm is an auto-clustering method which can decide the number of the clusters and its centroids. In this research, the proposed algorithm and these two clustering methods will be verified by 243 data sets are generated by Monte Carlo method to evaluate the performance of our proposed method and other methods.

In this paper, we present a novel Mura compensation technology by using machine learning method to dramatically reduce the DeMura processing time. Using this technology, we had successfully achieved 40% above reduction of DeMura processing time with 3.5” OLED VR display and it still can provide the same DeMura performance.

A new Multidimensional Trellii-Coded Modulation for PSK system is proposed in which .the designs of trellis encoder and the multi-D signal,set partitioning are tied together by introducing additiond redundancy. It reduces the cornplexity by eliminating the necessity of the multidimensional signal set mapper used in most multi-D TCM systems and it works for both odd and even number of inputs. The flexibility is thus increased. Its performance is compatible to those obtained in the literature.

An alternative design for constructing multilevel space-time codes is proposed. For a given space-time block code, we combine several component codes in conjunction with set partitioning of the expanded signal constellation according to the coding gain distance criterion.The error performance of an example code is compared with a traditional multilevel space-time code in computer simulation.