Abstract: A polishing pad having a detection window and a method of manufacturing the polishing pad are provided. A dummy detection window is pre-disposed in a mold. A polishing layer precursor is filled into the mold, and then a solidifying process is performed to form a polishing layer, wherein the polishing layer and the dummy detection window are separable completely. The polishing layer and the dummy detection window are separated from each other so as to form a detection opening in the polishing layer. The detection opening can alternatively be formed in a mold having a protrusion structure to replace the dummy detection window. A detection window precursor is filled into the detection opening, and then a solidifying process is performed to form a detection window.

Abstract: A polishing pad having a detection window and a method of manufacturing the polishing pad are provided. A dummy detection window is pre-disposed in a mold. A polishing layer precursor is filled into the mold, and then a solidifying process is performed to form a polishing layer, wherein the polishing layer and the dummy detection window are separable completely. The polishing layer and the dummy detection window are separated from each other so as to form a detection opening in the polishing layer. The detection opening can alternatively be formed in a mold having a protrusion structure to replace the dummy detection window. A detection window precursor is filled into the detection opening, and then a solidifying process is performed to form a detection window.

Abstract: A polishing pad having a detection window and a method of manufacturing the polishing pad are provided. A dummy detection window is pre-disposed in a mold. A polishing layer precursor is filled into the mold, and then a solidifying process is performed to form a polishing layer, wherein the polishing layer and the dummy detection window are separable completely. The polishing layer and the dummy detection window are separated from each other so as to form a detection opening in the polishing layer. The detection opening can alternatively be formed in a mold having a protrusion structure to replace the dummy detection window. A detection window precursor is filled into the detection opening, and then a solidifying process is performed to form a detection window.

Abstract: A method of fabricating a polishing pad for polishing an article is described. The method includes providing a semi-finished polishing pad and then forming a moving track on the surface of the semi-finished polishing pad. The moving track substantially coincides with a polishing track of the article on the polishing pad.

Abstract: The invention can recognize all languages and input words. It needs m unknown voices to represent m categories of known words with similar pronunciations. Words can be pronounced in any languages, dialects or accents. Each will be classified into one of m categories represented by its most similar unknown voice. When user pronounces a word, the invention finds its F most similar unknown voices. All words in F categories represented by F unknown voices will be arranged according to their pronunciation similarity and alphabetic letters. The pronounced word should be among the top words. Since we only find the F most similar unknown voices from m (=500) unknown voices and since the same word can be classified into several categories, our recognition method is stable for all users and can fast and accurately recognize all languages (English, Chinese and etc.) and input much more words without using samples.

Abstract: A speech recognition method on all sentences in all languages is provided. A sentence can be a word, name or sentence. All sentences are represented by E×P=12×12 matrices of linear predict coding cepstra (LPCC) 1000 different voices are transformed into 1000 matrices of LPCC to represent 1000 databases. E×P matrices of known sentences after deletion of time intervals between two words are put into their closest databases. To classify an unknown sentence, use the distance to find its F closest databases and then from known sentences in its F databases, find a known sentence to be the unknown one. The invention needs no samples and can find a sentence in one second using Visual Basic. Any person without training can immediately and freely communicate with computer in any language. It can recognize up to 7200 English words, 500 sentences of any language and 500 Chinese words.

Abstract: The present invention can recognize both English and Chinese at the same time. The most important skill is that the features of all English words (without samples) are entirely extracted from the features of Chinese syllables. The invention normalizes the signal waveforms of variable lengths for English words (Chinese syllables) such that the same words (syllables) can have the same features at the same time position. Hence the Bayesian classifier can recognize both the fast and slow utterance of sentences. The invention can improve the feature such that the speech recognition of the unknown English (Chinese) is guaranteed to be correct. Furthermore, since the invention can create the features of English words from the features of Chinese syllables, it can also create the features of other languages from the features of Chinese syllables and hence it can also recognize other languages, such as German, French, Japanese, Korean, Russian, etc.

Abstract: The invention can recognize any several languages at the same time without using samples. The important skill is that features of known words in any language are extracted from unknown words or continuous voices. These unknown words represented by matrices are spread in the 144-dimensional space. The feature of a known word of any language represented by a matrix is simulated by the surrounding unknown words. The invention includes 12 elastic frames of equal length without filter and without overlap to normalize the signal waveform of variable length for a word, which has one to several syllables, into a 12×12 matrix as a feature of the word. The invention can improve the feature such that the speech recognition of an unknown sentence is correct. The invention can correctly recognize any languages without samples, such as English, Chinese, German, French, Japanese, Korean, Russian, Cantonese, Taiwanese, etc.

Abstract: A polishing pad having a detection window and a method of manufacturing the polishing pad are provided. A dummy detection window is pre-disposed in a mold. A polishing layer precursor is filled into the mold, and then a solidifying process is performed to form a polishing layer, wherein the polishing layer and the dummy detection window are separable completely. The polishing layer and the dummy detection window are separated from each other so as to form a detection opening in the polishing layer. The detection opening can alternatively be formed in a mold having a protrusion structure to replace the dummy detection window. A detection window precursor is filled into the detection opening, and then a solidifying process is performed to form a detection window.

Abstract: The invention can recognize all languages and input words. It needs m unknown voices to represent m categories of known words with similar pronunciations. Words can be pronounced in any languages, dialects or accents. Each will be classified into one of m categories represented by its most similar unknown voice. When user pronounces a word, the invention finds its F most similar unknown voices. All words in F categories represented by F unknown voices will be arranged according to their pronunciation similarity and alphabetic letters. The pronounced word should be among the top words. Since we only find the F most similar unknown voices from m (=500) unknown voices and since the same word can be classified into several categories, our recognition method is stable for all users and can fast and accurately recognize all languages (English, Chinese and etc.) and input much more words without using samples.

Abstract: The invention can recognize any several languages at the same time without using samples. The important skill is that features of known words in any language are extracted from unknown words or continuous voices. These unknown words represented by matrices are spread in the 144-dimensional space. The feature of a known word of any language represented by a matrix is simulated by the surrounding unknown words. The invention includes 12 elastic frames of equal length without filter and without overlap to normalize the signal waveform of variable length for a word, which has one to several syllables, into a 12×12 matrix as a feature of the word. The invention can improve the feature such that the speech recognition of an unknown sentence is correct. The invention can correctly recognize any languages without samples, such as English, Chinese, German, French, Japanese, Korean, Russian, Cantonese, Taiwanese, etc.

Abstract: The present invention can recognize both English and Chinese at the same time. The most important skill is that the features of all English words (without samples) are entirely extracted from the features of Chinese syllables. The invention normalizes the signal waveforms of variable lengths for English words (Chinese syllables) such that the same words (syllables) can have the same features at the same time position. Hence the Bayesian classifier can recognize both the fast and slow utterance of sentences. The invention can improve the feature such that the speech recognition of the unknown English (Chinese) is guaranteed to be correct. Furthermore, since the invention can create the features of English words from the features of Chinese syllables, it can also create the features of other languages from the features of Chinese syllables and hence it can also recognize other languages, such as German, French, Japanese, Korean, Russian, etc.

Abstract: A method of fabricating a polishing pad for polishing an article is described. The method includes providing a semi-finished polishing pad and then forming a moving track on the surface of the semi-finished polishing pad. The moving track substantially coincides with a polishing track of the article on the polishing pad.

Abstract: A diffuser plate with higher light diffusion efficiency and brightness applied to backlight module of Liquid Crystal Display TV (LCD TV) for providing uniform light is disclosed. An optical lens with a diffusion layer is disposed on one side of the substrate. The diffusion layer is arranged above the optical lens for enhancing diffusion effect. The other side of the diffuser plate can be a plane or having a lens structure. By Lenticular lens, the homogeneity of emitted light is improved so as to reduce the amount of diffusion particles being added into the diffusion plate Therefore, the light transmission is increased and the brightness is enhanced. Meanwhile, ability of shielding lamps is considered and Moiré effect is eliminated. Moreover, the diffusion layer is co-extruded on surface of the Lenticular lens together with the substrate so that the device is easy to be produced.