Abstract: An intelligent input method and intelligent input system are disclosed. The intelligent input system includes an electronic device and an input device. The intelligent input method comprises the following steps. Firstly, a touch input is received through an input interface of an input device. Then, plural control areas on the input interface are defined according to a touch position of the touch input on the input interface. The plural control areas are respectively correlated with plural input functions of the input device. The intelligent input method allows the user to input or select a target object or browse a web page or operate any graphical user interface containing randomly-distributed objects in an electronic device such as an intelligent TV or a digital multimedia player. Consequently, the target object can be selected and inputted in an intelligent, quick and intuitive manner.

Abstract: A tactile positioning device includes a film attached to a touch surface of a portable electronic device. The film includes at least a first tactile unit used as a positioning reference point of a key on the touch surface, and at least a second tactile unit being a linear tactile unit for defining an operating route or an operating range. The tactile feedbacks provided by the first tactile unit and the second tactile unit enable a user to sense a position of the key which is positioned by the first tactile unit and the operating route or the operating range defined by the second tactile unit, so as to operate the portable electronic device without having to look at the touch surface.

Abstract: A machine-implemented file sharing method for a network storage system is provided. The network storage system at least includes a first storage device, a second storage device and a network cloud. The first storage device and second storage device are in communication with the network cloud. The machine-implemented file sharing method includes the following steps. Firstly, a state of a target file of the second storage device to be retrieved by a user of the first storage device is marked as a freeze state. If it is determined the user of the second storage device is to modify the target file, a file access expediting operation on the target file is performed and a file access notice signal is issued to the user of the first storage device to expedite the retrieval of the target file.

Abstract: The invention provides a flake and method for reducing waste heat using water produced when an air conditioner operates and thereby heat exchange efficiency can increase. Accordingly, an energy-saving effect can be achieved. The flake is placed at an inner bottom side of the air conditioner and between a condenser fan and a condenser coil. When the condenser fan operates, wind power created by the condenser fan has a portion blowing toward the flake, and then blowing toward underlying water, produced when the air conditioner operates, along the flake such that the water can move to the condenser coil and cool the condenser coil. Thereby, the temperature of discharged waste heat can be reduced. When the condenser coil cools, heat exchange efficiency increases. Accordingly, an indoor cooling effect can be improved and an energy-saving effect can be achieved.

Abstract: A defragmentation method includes the steps of: a) configuring a processor to determine a type of a target machine-readable storage device coupled electrically to the processor; b) configuring the processor to select, from among a plurality of pre-established defragmentation algorithms respectively for performing defragmentation on different types of machine-readable storage devices, a defragmentation algorithm that corresponds to the type of the target machine-readable storage device as determined in step a); and c) configuring the processor to perform defragmentation on the target machine-readable storage device according to the defragmentation algorithm as selected in step b).

Abstract: A method for image processing with encoding selection is provided. In accordance with the color pixel, the maximum pixel value, and the minimum pixel value, the corresponding encoding method is selected and encoding is performed for producing encoding data corresponding to the color pixel. The present invention further comprises a color-difference operational for selecting a plurality of color pixels as a basic pixel, a first color pixel, and a second color pixel. When encoding the basic pixel, a first color difference, and a second color difference, respectively, first encoding data corresponding to the basic pixel, second encoding data corresponding to the first color difference, and third encoding data corresponding to the second color difference are produced, respectively.

Abstract: A defragmentation method includes the steps of: a) configuring a processor to determine a type of a target machine-readable storage device coupled electrically to the processor; b) configuring the processor to select, from among a plurality of pre-established defragmentation algorithms respectively for performing defragmentation on different types of machine-readable storage devices, a defragmentation algorithm that corresponds to the type of the target machine-readable storage device as determined in step a); and c) configuring the processor to perform defragmentation on the target machine-readable storage device according to the defragmentation algorithm as selected in step b).

Abstract: An electrical-device-implemented image coding method includes: a raw block is obtained from an image. There are a max pixel value and a min pixel value among the raw pixel values of the image. A first difference sum, which is sum of differences between the raw pixel values and the max pixel value respectively, are calculated. A second difference sum, which is sum of differences between the raw pixel values and the min pixel value respectively, are calculated. If the first difference sum is not smaller than the second difference sum, each of the residue values is calculated by subtracting the min pixel value from the corresponding raw pixel value. Otherwise, each of the residue values is calculated by subtracting the corresponding raw pixel value from the max pixel value. Each of the residue values is encoded into a compressed codeword. A bit stream is generated according to the compressed codewords.

Abstract: A machine-implemented method, which is for categorizing a plurality of to-be-categorized storage units of a storage medium, includes: a) using a processor to write categorizing data for filling each of the to-be-categorized storage units of the storage medium; b) using a processor to determine a data access time of each of at least some of the to-be-categorized storage units by reading the categorizing data therein and to record the data access times of said at least some of the to-be-categorized storage units; and c) using a processor to categorize the to-be-categorized storage units into a plurality of groups that respectively correspond to a plurality of data access speed categories with reference to the recorded data access times.

Abstract: A defragmentation method includes the steps of: a) configuring a processor to determine a type of a target machine-readable storage device coupled electrically to the processor; b) configuring the processor to select, from among a plurality of pre-established defragmentation algorithms respectively for performing defragmentation on different types of machine-readable storage devices, a defragmentation algorithm that corresponds to the type of the target machine-readable storage device as determined in step a); and c) configuring the processor to perform defragmentation on the target machine-readable storage device according to the defragmentation algorithm as selected in step b).

Abstract: The present invention provides an apparatus and a method for image processing. The apparatus for image processing comprises an encoding circuit, which can select two reference pixels according to two reference pixels and produce a maximum pixel value and a minimum pixel value according the two reference pixels. The present invention further comprises a color-difference operational unit for selecting a plurality of color pixels as a basic pixel, a first color pixel, and a second color pixel. When encoding the basic pixel, a first color difference, and a second color difference, respectively, first encoding data corresponding to the basic pixel, second encoding data corresponding to the first color difference, and third encoding data corresponding to the second color difference are produced, respectively.

Abstract: An electrical-device-implemented image coding method includes: a raw block is obtained from an image. There are a max pixel value and a min pixel value among the raw pixel values of the image. A first difference sum, which is sum of differences between the raw pixel values and the max pixel value respectively, are calculated. A second difference sum, which is sum of differences between the raw pixel values and the min pixel value respectively, are calculated. If the first difference sum is not smaller than the second difference sum, each of the residue values is calculated by subtracting the min pixel value from the corresponding raw pixel value. Otherwise, each of the residue values is calculated by subtracting the corresponding raw pixel value from the max pixel value. Each of the residue values is encoded into a compressed codeword. A bit stream is generated according to the compressed codewords.

Abstract: In a fast integer DCT method on multi-core processor, the instructions executed by a DSP are allocated with regular and symmetrical data flows for improving the hardware utilization of each task engine of a digital signal processor. Thus, common terms exhibit symmetrical arithmetical instructions. The symmetrical arithmetical instructions are properly arranged for task engines in parallel processing. The loading of the digital signal processor can be effectively reduced in performing the integer discrete cosine transformation to accordingly generate the result quickly.

Abstract: A method for image processing with encoding selection is provided. In accordance with the color pixel, the maximum pixel value, and the minimum pixel value, the corresponding encoding method is selected and encoding is performed for producing encoding data corresponding to the color pixel. The present invention further comprises a color-difference operation for selecting a plurality of color pixels as a basic pixel, a first color pixel, and a second color pixel. When encoding the basic pixel, a first color difference, and a second color difference, respectively, first encoding data corresponding to the basic pixel, second encoding data corresponding to the first color difference, and third encoding data corresponding to the second color difference are produced, respectively.

Abstract: The present invention provides an apparatus and a method for image processing. The apparatus for image processing comprises an encoding circuit, which can select two reference pixels according to two reference pixels and produce a maximum pixel value and a minimum pixel value according the two reference pixels. The present invention further comprises a color-difference operational unit for selecting a plurality of color pixels as a basic pixel, a first color pixel, and a second color pixel. When encoding the basic pixel, a first color difference, and a second color difference, respectively, first encoding data corresponding to the basic pixel, second encoding data corresponding to the first color difference, and third encoding data corresponding to the second color difference are produced, respectively.

Abstract: A defragmentation method includes the steps of: a) configuring a processor to determine a type of a target machine-readable storage device coupled electrically to the processor; b) configuring the processor to select, from among a plurality of pre-established defragmentation algorithms respectively for performing defragmentation on different types of machine-readable storage devices, a defragmentation algorithm that corresponds to the type of the target machine-readable storage device as determined in step a); and c) configuring the processor to perform defragmentation on the target machine-readable storage device according to the defragmentation algorithm as selected in step b).

Abstract: A machine-implemented method, which is for categorizing a plurality of to-be-categorized storage units of a storage medium, includes: a) using a processor to write categorizing data for filling each of the to-be-categorized storage units of the storage medium; b) using a processor to determine a data access time of each of at least some of the to-be-categorized storage units by reading the categorizing data therein and to record the data access times of said at least some of the to-be-categorized storage units; and c) using a processor to categorize the to-be-categorized storage units into a plurality of groups that respectively correspond to a plurality of data access speed categories with reference to the recorded data access times.