Taiwan Semiconductor Manufacturing Comp. Ltd.

Acer Inc.

Wistron Corporation

National Yang Ming Chiao Tung University

Acer Medical Inc.

Taipei Veterans General Hospital

Acer Cyber Security Incorporated

Asia Vital Components Co., Ltd.

National Chung Shan Institute of Science and Technology

National Health Research Institutes

Chang Gung Memorial Hospital, Keelung

Tsung-Hsien Tsai

Chih-Hsien Chang

Ruey-Bin Sheen

Cheng-Hsiang Hsieh

Chun-Hsien Li

Min-Shueh Yuan

Ya-Tin Chang

Jun-Hong Chen

Chien-Hung Zordius Chen

Ming Hsien Tsai

Hung-Li Chen

Liang-Kung Chen

Wen-Chin Wu

Mao-Hsuan Chou

Ming-Hua Hung

Hao-Min Cheng

Li-Ning Peng

Wei-Ting Wang

Chien-Hung Li

Pei-Chen Chin

Chiung-Ying Huang

Yin-Hsong Hsu

Shiuan-De Chen

Ming-Kung Sun

Yueh-Yarng Tsai

Pin-Cyuan Lin

Zong-Cyuan Jhang

Ting-Fen Tsai

Chun-Peng Hsu

Yun-Hsuan Chan

Sheng-Wei Chu

Jason Hsu

Te-Chung Huang

Yin-Hao Lee

Feng Wei Kuo

Chia-Chun Liao

Yi-Sheng Kao

Tsung-Yang Hung

Pei-Jung Chen

Jia-Liang Chen

Kuo-Chun Hsieh

Chi-Hung Lin

Tsung-Han Yang

Jyun-Shuo Liang

Andy Ho

Szu-Chieh Wang

Yi-Hsiuan Yu

Ming-Hsiung Wei

Chen-Huan Chen

Matt Li

Chia-Shang Yuan

Jun-Mein Wu

Chen-Hsiang Hsieh

Bao-Yann Lin

Chi-Hsiao Yeh

Ruey-Bin Shen

Ping-Szu Tsai

Zong-Han Tsai

Chien-Yi Tung

Wei-Ju Lin

Shih-Tsung Huang

Fei-Yuan Hsiao

An automatic gain adjustor for a hybrid oscillator can be employed to overcome the frequency limitations of hybrid phase lock loops (PLLs). For example, an automatic gain adjustor for a hybrid oscillator can include a hybrid oscillator that is configured to receive a coarse tuning signal and a gain adjustment signal and generate an output signal with any frequency within the specified frequency range of the hybrid PLL. The automatic gain adjustor for a hybrid PLL may further include a fine tuning array that receives one or more fine tuning selection signals and generates a gain adjustment signal that is received by the hybrid oscillator. The fine tuning array generates a gain adjustment signal to adjust the gain of the hybrid oscillator according to an operating frequency range of the hybrid oscillator.

Automatic hybrid oscillator gain adjustor circuit

A tuning array selection circuit, together with a decoder and a voltage controlled oscillator (VCO), can be employed to overcome some disadvantages of previous methods of phase locked loops. For example, a VCO can include a coarse tuning array and a fine tuning array. A coarse tuning array can be used to tune a VCO to generate a signal within a wide frequency range. A fine tuning array can be used to tune a VCO to generate a signal within a narrow frequency range. In one embodiment, the narrow frequency range is within the wide frequency range. The tuning array selection circuit can coordinate selection of appropriate fine tuning devices and narrow tuning devices to reduce transition jitter and the risk of fail locking of phase locked loops.

Coarse-mover with sequential finer tuning step

A circuit and a method for adjusting a periodic input signal are provided. The circuit includes a duty cycle calibration (DCC) device, a phase adjusting device, and a duty cycle measurement (DCM) device. The DCC device is configured to generate a first signal and a second signal in response to the periodic input signal. The first signal and the second signal have different phases. The phase adjusting device is configured to receive the first signal and the second signal to generate a third signal by combining the first signal and the second signal based on a selection signal. The DCM device is configured to measure and adjust a duty cycle of the third signal so that the selection signal is adjusted to generate a periodic output signal. A frequency of the periodic output signal is twice that of the periodic input signal.

Circuit and method for duty cycle adjustment

Systems and methods are provided for a phase locked loop. A phase/frequency detector is configured to receive a reference signal and a feedback signal. A charge pump is configured to receive outputs from the phase/frequency detector and to generate pulses. An oscillator is configured to generate an output waveform based on the charge pump pulses. A realignment path is configured to generate a clock realignment signal that is provided to the oscillator based on the outputs from the phase/frequency detector.

Systems and methods for phase locked loop realignment with skew cancellation

Systems, devices, and methods are described herein for aligning a phase of a ring oscillator and removing jitter. An oscillator includes a resistor bank array, an operational amplifier, a first and second transistor, and a realignment circuit. The resistor bank array has a plurality of resistors configured to generate a first signal. The operational amplifier is coupled to a PLL circuit and is configured to compare a voltage of the PLL circuit with a voltage of the resistor bank array. The first transistor is coupled between the operational amplifier and a ring oscillator. The first transistor is configured to generate a second signal to control a frequency of the ring oscillator during a realignment state. The realignment circuit is coupled to the first transistor and the ring oscillator. The realignment circuit is configured to generate a realignment signal to align the ring oscillator with a first clock signal.

Programmable regulator voltage controlled ring oscillator

An electronic device and a method for predicting a blockage of a coronary artery are provided. The method includes: obtaining multiple pieces of electrocardiogram (ECG) data respectively corresponding to a coronary artery set; generating multiple first probabilities corresponding to the multiple pieces of electrocardiogram data respectively according to the multiple pieces of electrocardiogram data and a first phase model, generating a first determined result according to the multiple first probabilities, and selecting a first data subset corresponding to a first probability subset from the multiple pieces of electrocardiogram data in response to each one in the first data subset of the multiple first probabilities being greater than a first threshold; generating multiple second probabilities corresponding to the first data subset according to the first data subset and a second phase model, and generating a second determined result according to the multiple second probabilities.

Electronic device and method for predicting blockage of coronary artery

An electrical system is provided. The electrical system comprises a first phase lock circuit embedded within a first chip for receiving a first periodic signal having a first frequency. The electrical system comprises a first buffering circuit embedded within the first chip for receiving a second periodic signal having the first frequency, wherein the first buffering circuit is configured to provide a third periodic signal having the first frequency to an output terminal of the first chip.

System for signal propagation and method of operating the same

Systems, methods, and circuits for determining a duty cycle of a periodic input signal are provided. A delay element is configured to delay the periodic input signal based on a digital control word. A digital circuit is configured to generate a first digital control word used to delay the periodic input signal a first amount of time corresponding to a period of the periodic input signal, generate a second digital control word used to delay the periodic input signal a second amount of time corresponding to a portion of the periodic input signal having a logic-level high value, and generate a third digital control word used to delay the periodic input signal a third amount of time corresponding to a portion of the periodic input signal having a logic-level low value. A controller is configured to determine the duty cycle based on the first, second, and third digital control words.

Systems and methods for duty cycle measurement

Digital delay lock circuits and methods for operating digital delay lock circuits are provided. A phase detector is configured to receive first and second clock signals and generate a digital signal indicating a relationship between a phase of the first clock signal and a phase of the second clock signal. A phase accumulator circuit is configured to receive the digital signal and generate a phase signal based on values of the digital signal over multiple clock cycles. A decoder is configured to receive the phase signal and generate a digital control word based on the phase signal. A delay element is configured to receive the digital control word. The delay element is further configured to change the relationship between the phase of the first clock signal and the phase of the second clock signal by modifying the phase of the second clock signal according to the digital control word.

Delay lock loop circuits and methods for operating same

A training data processing method and an electronic device are provided. The method includes: obtaining medical history data including at least one first disease suffered by a user; setting a plurality of disease types according to a target disease; setting a time interval; obtaining at least one second disease in the time interval from the medical history data; performing a pre-processing operation on the second disease according to the disease types to obtain processed data; and inputting the processed data to a neural network to train the neural network.

Training data processing method and electronic device

A method and a system for mental index prediction are provided. The method includes the following steps. A plurality of images of a subject person are obtained. A plurality of emotion tags of the subject person in the images are analyzed. A plurality of integrated emotion tags in a plurality of predetermined time periods are calculated according to the emotion tags respectively corresponding to the images. A plurality of preferred features are determined according to the integrated emotion tags. A mental index prediction model is established according to the preferred features to predict a mental index according to the emotional index prediction model.

Method and system for mental index prediction

A feature identifying method and an electronic device are provided. The method includes: obtaining a plurality of physiological information obtained by measuring a subject at a plurality of time points in one day; converting the plurality of physiological information into a plurality of correlation features respectively; establishing a plurality of first risk prediction models according to the plurality of correlation features, and identifying at least one first correlation feature from the plurality of correlation features according to the plurality of first risk prediction models; establishing a plurality of second risk prediction models according to the at least one first correlation feature, and identifying, according to the plurality of second risk prediction models, at least one second correlation feature capable of predicting a specific disease from the at least one first correlation feature; and outputting the at least one second correlation feature.

Feature identifying method and electronic device

The disclosure provides a disease classification method and a disease classification device. The disease classification method includes: inputting samples into a first stage model and obtaining a first stage determination result; inputting first samples determined positive by the first stage model into a second stage high specificity model to obtain second samples determined to be positive and third samples determined to be negative and rule in the second samples; inputting fourth samples determined negative by the first stage model into a second stage high sensitivity model to obtain fifth samples determined to be positive and sixth samples determined to be negative and rule out the sixth samples; obtaining a second stage determination result of the second and sixth samples; and inputting the third and fifth samples not ruled in or ruled out into a third stage model and obtaining a third stage determination result of the third and fifth samples.

Disease classification method and disease classification device

Growing community of inventors

Zhongli, Taiwan

Tsung-Hsien Tsai