Sungkyunkwan University

Skaichips Co., Ltd.

Skaichipsco., Ltd.

Jong Wan Jo

Kang Yoon Lee

Young Gun Pu

Dong Soo Park

Jae Bin Kim

Kyung Duk Choi

Yun Gwan Kim

Joon Hong Park

Byeong Gi Jang

Dong Gyun Kim

Min Young Kim

Yeon Jae Jung

Hyung Ki Huh

Joon Mo Yoo

Sung June Byun

Dong Gyu Kim

Imran Ali

Reza Eftekhari Rad

Qurat Ul Ain

Seok Kee Kim

Sung Jun Byun

Dae Young Choi

Provided is a power supply apparatus for self-powered device including a power module configured to supply first driving power, a sensor module configured to be operated by the first driving power, and an energy harvesting module configured to select energy power with a higher signal intensity from among energy power from energy sources and harvest energy using the selected energy power as second driving power.

Power supply apparatus for self-powered device and operation method thereof

Disclosed are an artificial intelligence algorithm-based wireless power transmitter, wireless power receiver, and wireless power charging system that are capable of high-speed response to environmental changes and that can optimize the power efficiency of a wireless power receiver, estimate a dynamic location from a signal received from the wireless power receiver using artificial intelligence technology, and dynamically transmit wireless power to a prioritized wireless power receiver according to a power state.

Artificial intelligence algorithm-based wireless charging system capable of high-speed response to environmental changes

Provided are a scalable analog passive intermodulation (PIM) module, a method of controlling analog PIM, a signal processing circuit, and a sensor device. The scalable analog PIM module includes a first plural number of digital-to-analog converters (DACs), a first plural number of static random access memory (SRAM) calculators connected to the first plural number of DACs, at least one analog-to-digital converter (ADC) connected to the first plural number of SRAM calculators and configured to convert an analog convolution result signal into digital convolution data, and an analog PIM controller configured to output an enable control signal for enabling a second number, which is equal to or less than first plural number, of SRAM calculators among the first plural number of SRAM calculators to the first plural number of SRAM calculators on the basis of the convolution data output from the ADC.

Scalable analog PIM module, method of controlling analog PIM, signal processing circuit, and sensor device

The present invention relates to an integrated circuit for processing biosignals, a biosignal processing apparatus, and a biosignal processing system, and the integrated circuit includes: a digital conversion unit for converting an analog biosignal input through a biosignal input terminal into digital biodata; and an AI block for processing a plurality of biodatas converted through the digital conversion unit according to an artificial intelligence processing flow, and outputting a result data according to processing of the plurality of biodatas.

Biosignal processing apparatus based on intelligent control

A power management apparatus, includes an artificial intelligence (AI) controller configured to monitor a user pattern, based on frequency band selection information of all users using a base station, to predict the user pattern, and a DC-DC converter configured to output a supply voltage based on the predicted user pattern.

Power management apparatus based on user pattern and method

As inputs of a controller of a direct current (DC)-DC converter are sampled for a predetermined time and thus two-dimensional state information in which one axis is an input physical quantity and the other axis is a time is generated, the two-dimensional state information is processed by a convolutional neural network to determine and output one of a plurality of control signals. An artificial intelligence control part may operate in accordance with a plurality of operation conditions or dynamically determined operation conditions by applying different artificial intelligence engines according to operation modes.

DC-DC converter with intelligent controller

Provided is a maximum power point tracking (MPPT) apparatus for an energy harvesting system and an MPPT control method. A count value of the time for an output voltage of a direct current (DC)-DC converter to reach a high reference voltage is used to change and output a control parameter of the DC-DC converter for maximum power.

Maximum power point tracking apparatus for energy harvesting system and maximum power point tracking control method

A current sensor automatically adjusting an offset voltage, includes an input corrector, upon receiving a first voltage, a second voltage, and a control signal, configured to correct either one or both of the first voltage and the second voltage to reduce an absolute value of a difference between the first voltage and the second voltage based on the control signal, and output a correction result; an input amplifier configured to amplify a voltage output from the input corrector; an output amplifier configured to generate an output voltage when a voltage amplified by the input amplifier is input; a controller including a switch connected to one of voltages amplified by the input amplifier to be grounded when a difference between the first voltage and the second voltage is larger than a first threshold value; and a correction circuit controller configured to generate the control signal to input to the input corrector.

Current sensor capable of automatic adjustment of offset voltage

Disclosed is a power supply apparatus including a DC-DC converter implemented as one integrated circuit. A duty of a switching pulse of a DC-DC conversion unit is controlled according to a phase difference between a feedback clock signal and a reference clock signal having a frequency proportional to an output voltage of the DC-DC conversion unit. The duty of the switching pulse may be controlled from an output of a charge pump to be charged and discharged according to the phase difference signal between the feedback clock signal and the reference clock signal.

Power supply apparatus with dynamic scaling feature of switching frequency

The present invention provides a technique for a power supply, and particularly, a buck-boost DC-DC converter which is advantageous for energy harvesting from a low voltage. An LC resonant unit generates a pair of clock type signals having phases opposite to each other from an input signal. These signals are supplied to the clock input terminals of the Dickson charge pumps connected in series and converted into power signals having an amplified voltage so as to match the rated input specification of the buck-boost DC-DC converter of a post-stage.

Buck-boost DC-DC converter

A technology related to an electronic circuit, specifically, a phase locked loop or a frequency synthesizing apparatus, is disclosed. The frequency synthesizing apparatus includes an injection locked frequency divider and a replica frequency divider having the same circuit configuration as the injection locked frequency divider. A control value required for self-oscillating at a target frequency using the replica frequency divider is determined. When the injection locked frequency divider fails injection locking on a first attempt, the injection locking may be attempted using the determined control value. On the first attempt, the control value of the injection locked frequency divider may be determined and stored in advance according to a temperature and a supply voltage.

Growing community of inventors

Suwon-si, South Korea

Jong Wan Jo