Abstract: An RF fingerprint signal processing device configured for executing a machine learning algorithm on a plurality of input signals. The RF fingerprint signal processing device includes a receiver-feature determination circuit and a classifying determination circuit. The receiver-feature determination circuit is configured to compute on the plurality of input signals in a neural network. The classifying determination circuit is coupled with the receiver-feature determination circuit, and the classifying determination circuit is configured to send feedback information of a receiver-feature component to the receiver-feature determination circuit. The receiver-feature determination circuit decreases the receiver-feature weight of the neural network. The receiver-feature weight is associated with the receiver-feature component, and the receiver-feature weight which is decreased is applied for computing an output value of the neural network.

Abstract: A floating point pre-alignment structure for computing-in-memory applications includes a time domain exponent computing block and an input mantissa pre-align block. The time domain exponent computing block is configured to compute a plurality of original input exponents and a plurality of original weight exponents to generate a plurality of flags. Each of the flags is determined by adding one of the original input exponents and one of the original weight exponents. The input mantissa pre-align block is configured to receive a plurality of original input mantissas and shift the original input mantissas according to the flags to generate a plurality of weighted input mantissas, and sparsity of the weighted input mantissas is greater than sparsity of the original input mantissas. Each of the flags has a negative correlation with a sum of the one of the original input exponents and the one of the original weight exponents.

Abstract: Semiconductor dies of a semiconductor die package are directly bonded, and a top metal region may be formed over the semiconductor dies. A plurality of conductive terminals may be formed over the top metal region. The conductive terminals are formed of copper (Cu) or another material that enables low-temperature deposition process techniques, such as electroplating, to be used to form the conductive terminal. In this way, the conductive terminals of the semiconductor die packages described herein may be formed at a relatively low temperature. This reduces the likelihood of thermal deformation of semiconductor dies in the semiconductor die packages. The reduced thermal deformation reduces the likelihood of warpage, breakage, and/or other types of damage to the semiconductor dies of the semiconductor die packages, which may increase performance and/or increase yield of semiconductor die packages.

Abstract: The present invention relates to a coral composite extract, a composition including the same and a method of producing the same. The coral composite extract includes at least two briarane-type diterpenoid compounds from corals of Briareum violaceum, B. excavatum and B. stechei, thereby being applied as an effective ingredient of a skin external use composition, a cosmetic composition and a medicinal composition.

Abstract: An information security early warning device is provided, which includes a data capturing circuit, a memory and a processor. The processor is used for running a virtual user equipment, a virtual base station and a virtual core network, and performing the following operations: when the first data flow is detected as non-malicious and abnormal, simulating transmission of the first data flow from the virtual base station to the virtual core network, and determining whether a connection can be established; when the connection can be established, updating a setting of the anomaly detection by using the first data flow; when the connection cannot be established, selecting an error log including a first malicious procedure code from multiple detection logs generated by the virtual core network; and updating the malicious feature database by using the first malicious procedure code and the first data flow.

Abstract: An image sensor structure includes a semiconductor substrate, a plurality of image sensing elements, a reflective element, and a high-k dielectric structure. The image sensing elements are in the semiconductor substrate. The reflective element is in the semiconductor substrate and between the image sensing elements. The high-k dielectric structure is between the reflective element and the image sensing elements.

Abstract: A wrench includes a ratchet unit located in the head and includes a mount hole. A collar is connected to the head and includes a slot and an aperture. A C-shaped engaging member includes a first end thereof inserted into the aperture. A second end of the engaging member protrudes beyond the collar. The engaging member includes a second section which is a curved section and resiliently protruded into the slot. A rotary member is mounted to outer periphery of the collar and includes a notch defined in the underside thereof. The second end of the engaging member is located in the notch and covered by the rotary member. When the rotary member is rotated, the engaging member is deformed to insert or remove the second section relative to the mount hole via the slot to position a socket in the head of the wrench.

Abstract: An RF fingerprint signal processing device configured for executing a machine learning algorithm on a plurality of input signals. The RF fingerprint signal processing device includes a receiver-feature determination circuit and a classifying determination circuit. The receiver-feature determination circuit is configured to compute on the plurality of input signals in a neural network. The classifying determination circuit is coupled with the receiver-feature determination circuit, and the classifying determination circuit is configured to send feedback information of a receiver-feature component to the receiver-feature determination circuit. The receiver-feature determination circuit decreases the receiver-feature weight of the neural network. The receiver-feature weight is associated with the receiver-feature component, and the receiver-feature weight which is decreased is applied for computing an output value of the neural network.

Abstract: A wrench includes a ratchet unit located in the head and includes a mount hole. A collar is connected to the head and located corresponding to the mount hole. The collar includes a slot and an aperture. A C-shaped engaging member includes a first end thereof inserted into the aperture. A second end of the engaging member protrudes beyond the collar. The engaging member includes a curved section which is resiliently inserted into the slot. A rotary member is mounted to outer periphery of the collar and includes a notch defined in the underside thereof. The second end of the engaging member is located in the notch and covered by the rotary member. When the rotary member is rotated, the engaging member is deformed to insert or remove the curved section relative to the mount hole via the slot to position a socket in the head of the wrench.