Abstract: A method for managing green power determines if how many physical machines should run or be shut off with the gross occupied resource weight ratio of the virtual machine cluster. The standby physical machine in the non-running physical machines is elected and woke up to join as one of the running physical machines; one of the running physical machines is elected as a migration physical machine with the virtual machines therein being moved to other running physical machines, and then shut off. The resource allocation process is conducted to distribute loads of the running physical machines such that the total numbers of the running physical machines are capable of being dispatched flexibly to achieve the object of green power management.

Abstract: A vertically oriented nanometer-wires structure is disclosed. The vertically oriented nanometer-wires structure includes a non-crystalline base and many straight nanometer-wires. The straight nanometer-wires are uniformly distributed on the non-crystalline base, and the angle between each of the straight nanometer-wire and the non-crystalline base is 80-90 degrees. The straight nanometer-wires structure can be widely applied in semiconductor, optoelectronic, biological and energy field. What is worth to be noticed is that the non-crystalline base can be glass, ceramics, synthetic, resin, rubber or even metal foil, and the straight nanometer-wires and the non-crystalline base are still orthogonal to each other.

Abstract: A power-saving controlling method includes steps as follows. An electrical information is captured from an electrical equipment by an intelligent socket device. The electrical information is calculated and a rule table is generated. An automatic controlling signal is generated according to the rule table. The intelligent socket device is switched off or switched on according to the automatic controlling signal.

Abstract: A method of dynamic resource allocation for a virtual machine cluster is to calculate the resource usage weight of the respective virtual machine, the resource usage weight of the respective physical machine, and the average resource usage weight of the physical machines, to pick the physical machine with the greatest resource usage weight as the migration source machine, to pick the physical machine with the least resource usage weight as the migration object machine, and to move the virtual machine in the migration source machine with the resource usage weight thereof being closest to the migration difference value to the migration object machine to achieve the effect of load balancing.

Abstract: A method for managing green power determines if how many physical machines should run or be shut off with the gross occupied resource weight ratio of the virtual machine cluster. The standby physical machine in the non-running physical machines is elected and woke up to join as one of the running physical machines; one of the running physical machines is elected as a migration physical machine with the virtual machines therein being moved to other running physical machines, and then shut off. The resource allocation process is conducted to distribute loads of the running physical machines such that the total numbers of the running physical machines are capable of being dispatched flexibly to achieve the object of green power management.

Abstract: This present invention discloses a method for preparing a lipolysis-stimulating soy protein hydrolysate, proceeding a hydrolysis reaction, which is a predetermined concentration of soy protein mediated by Flavourzyme in a predetermined hydrolysis conditions, wherein Flavourzyme versus the soy protein is 1:100, and the optimal hydrolysis conditions including reaction pH value 7˜7.5, reaction temperature 40˜50° C. and hydrolysis time 100˜150 minutes. This invention further discloses nine recombinations of isolated peptide sequences from the soy protein hydrolysate including Val-His-Val-Val, Leu-Leu-Leu, Leu-Leu-Ile, Leu-Ile-Leu, Leu-Ile-Ile, Ile-Leu-Leu, Ile-Leu-Ile, Ile-Ile-Leu and Ile-Ile-Ile.

Abstract: An anticipative recursively-adjusting co-allocation mechanism (ARAM) includes the steps of: measuring a transmission bandwidth of a candidate server by a bandwidth measurement module; referring to the transmission bandwidth to calculate a recursive parameter value, and calculating a desired allocating file size of present round according to the recursive parameter value and an unassigned file size; allocating the desired allocating file size to the candidate server according to the transmission bandwidth and a transmission completion percentage of the candidate server at a previous round; performing the transmission and calculating the transmission completion percentage of each candidate server; examining the transmission completion percentage of the candidate sever; and examining whether or not an allocation of files is completed if any candidate server has completed a transmission, and looping to the next round if the file allocation has not been completed so as to enhance the data transmission performance