Abstract: A hand tool with angle adjusting mechanism includes a handle, a driving head, an engaging assembly and a button. The handle has a receiving groove, a transverse hole and a longitudinal hole. The driving head has a connecting portion disposed in the receiving groove. The engaging assembly has an engaging member and a spring. The engaging member has an engaging tooth at a top thereof for engagement with the driving head, and has an arc-shape pushing groove in a lateral side with an arc-shape wall inside thereof. The button is movably disposed in the transverse hole of the handle, and has an abutting portion slidably inserted in the arc-shape pushing groove, the abutting portion of the button has an arc-shape plane abutting against the arc-shape wall such that horizontal movement of the button drives the engaging member to move longitudinally along the longitudinal hole of the handle.

Abstract: A novel nonlinear method for area-wide near surface air temperature precision retrieval is described. The steps include: First, construct the 1st sub-model modelVEC1 to the f-th sub-model modelVECf. Establish and normalize raw data vectors of each gridded pixel sBlkVEC in the targeted area. Calculate the retrieved full maps (surfTf) of near surface air temperatures using each sub-model. Then, identify abnormal samples and define their near-range regions in surfTf Apply a selective arithmetic mean (SAM) approach to achieve precision temperature map surfT. And finally apply further modification to the pixels of surfT where pixlf?badsurfT?f is true to all f=1, 2, 3, . . . . Using the super nonlinear algorithm, this invention provides a solution of retrieving near surface air temperature based on combinations of various factors (information fusion) to achieve satisfied prediction errors, which are independent of cloud levels and topographic characteristics.

Abstract: A novel nonlinear method for area-wide near surface air temperature precision retrieval is described. The steps include: First, construct the 1st sub-model modelVEC1 to the f-th sub-model modelVECf. Establish and normalize raw data vectors of each gridded pixel sBlkVEC in the targeted area. Calculate the retrieved full maps (surfTf) of near surface air temperatures using each sub-model. Then, identify abnormal samples and define their near-range regions in surfTf Apply a selective arithmetic mean (SAM) approach to achieve precision temperature map surfT. And finally apply further modification to the pixels of surfT where pixlf?badsurfT?f is true to all f=1, 2, 3, . . . . Using the super nonlinear algorithm, this invention provides a solution of retrieving near surface air temperature based on combinations of various factors (information fusion) to achieve satisfied prediction errors, which are independent of cloud levels and topographic characteristics.

Abstract: A method of temperature control is applied to a cabinet in which a fan is disposed and the fan runs based on an input signal. The method includes obtaining a temperature signal corresponding to the cabinet, calculating a deviation signal between the input signal and the temperature signal, executing fuzzy learning to obtain a first proportional parameter, a first integral parameter and a first derivative parameter based on the deviation signal, generating a driver signal to execute a proportional-integral-derivative (PID) control based on the first proportional parameter, the first integral parameter and the first derivative parameter, wherein the driver signal is for driving the fan to adjust a temperature of the cabinet.

Abstract: A method of temperature control is applied to a cabinet in which a fan is disposed and the fan runs based on an input signal. The method includes obtaining a temperature signal corresponding to the cabinet, calculating a deviation signal between the input signal and the temperature signal, executing fuzzy learning to obtain a first proportional parameter, a first integral parameter and a first derivative parameter based on the deviation signal, generating a driver signal to execute a proportional-integral-derivative (PID) control based on the first proportional parameter, the first integral parameter and the first derivative parameter, wherein the driver signal is for driving the fan to adjust a temperature of the cabinet.