CAJ | 학술논문

在自适应维分编码原理的基础上，证明了维分编码维重Q=4是最优的。标签越多，维分编码的维数就越多。为此文中给出了标签数量估计和维数估计方法，同时还给出了自适应维分编码降维后标签的降维编码算法以及自适应维分编码的解码算法，为自适应维分编码原理的完善做了正确和必要的研究，因此，完善的自适应维分编码算法无论标签数目较多和标签数目较少时，都能大大提高阅读器搜索标签的效率。
재자괄응유분편마원리적기출상，증명료유분편마유중Q=4시최우적。표첨월다，유분편마적유수취월다。위차문중급출료표첨수량고계화유수고계방법，동시환급출료자괄응유분편마강유후표첨적강유편마산법이급자괄응유분편마적해마산법，위자괄응유분편마원리적완선주료정학화필요적연구，인차，완선적자괄응유분편마산법무론표첨수목교다화표첨수목교소시，도능대대제고열독기수색표첨적효솔。
When the dimension-weight(Q) equals the 4,Multi-Dimension Division Code algorithm is optimal.In this paper,we give the proof according to the principle of the Adaptive Multi-Dimension Division Code.The more the tags,the more the dimensions of the Multi-Dimension Division Code,and so we give the methods for tags estimation and dimensions estimation.Moreover,the algorithm for tags encoding after dimension-reduction is given,and the algorithm for tags decoding is given too.The Adaptive Multi-Dimension Division Code algorithm can significantly improve the efficiency of searching for tags whether in many collisions or few collisions.