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公开(公告)号:US20200326852A1
公开(公告)日:2020-10-15
申请号:US16674919
申请日:2019-11-05
Inventor: Se-Bum Paik , Hyeonsu Lee , Youngjin Park
Abstract: Provided are a storage device using a neural network and an operating method of the storage device for automatic redistribution of information and variable storage capacity based on accuracy-storage capacity tradeoff that may learn input information using the neural network and may store the learned information. The neural network may include a plurality of input neurons and a plurality of output neurons; at least one stable synapse configured to connect at least one of the input neurons and at least one of the output neurons, respectively; and at least one flexible synapse configured to connect at least one remaining of the input neurons and at least one remaining of the output neurons, respectively.
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2.
公开(公告)号:US11068774B2
公开(公告)日:2021-07-20
申请号:US15720772
申请日:2017-09-29
Inventor: Se-Bum Paik , Youngjin Park
Abstract: Provided is a spiking neural network system for dynamical control of flexible, stable, and hybrid memory storage. An information storage method may include converting input information to a temporal pattern in a form of a spike; and storing the information that is converted to the temporal pattern in a spiking neural network. The storing may comprise storing information by applying, to the spiking neural network, a spike-timing-dependent plasticity (STDP) learning rate that is an unsupervised learning rule.
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3.
公开(公告)号:US09238418B2
公开(公告)日:2016-01-19
申请号:US14054607
申请日:2013-10-15
Inventor: Seongpil Ryu , Sang Uk Kwon , Kyuil Lee , Seo Ho Choi , Jihun Han , Youngjin Park
CPC classification number: B60L11/1881 , B60L3/12 , B60L11/1861 , B60L11/1887 , B60L2240/622 , B60L2250/12 , B60L2260/52 , B60L2260/54 , H01M8/00 , H01M8/04694 , H01M10/44 , H01M10/48 , H01M2220/20 , H01M2250/20 , Y02T10/7005 , Y02T10/7044 , Y02T10/705 , Y02T10/7291 , Y02T90/16 , Y02T90/162 , Y02T90/32 , Y02T90/34
Abstract: A method of controlling power of the fuel cell vehicle includes dividing an expected driving path of the fuel cell vehicle into a plurality of sections and setting the plurality of sections according to a gradient, and comparing whether a predicted battery state of charge variation is within a battery charging/discharging allowance range for each of the plurality of divided sections The method further includes comparing predicted power with a predetermined maximum allowance power for each of the plurality of divided sections, and setting the plurality of divided sections as a battery charging/discharging prohibition section and a battery charging/discharging allowance section in advance according to a result of the comparison of the predicted battery state of charge variation and the predicted power.
Abstract translation: 控制燃料电池车辆的动力的方法包括将燃料电池车辆的预期行驶路径划分成多个部分,并根据梯度设定多个部分,并且比较预测的电池电量状态变化是否在 多个分割部分中的每一个的电池充电/放电允许范围该方法还包括将预测功率与多个分割部分中的每一个的预定最大容限功率进行比较,并将多个分割部分设置为电池充电/放电禁止 根据预测的电池电量状态变化与预测功率的比较结果,预先提供电池充电/放电容许部分。
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公开(公告)号:US10357182B2
公开(公告)日:2019-07-23
申请号:US15514621
申请日:2015-09-22
Inventor: Gun-woo Lee , Nokhaeng Lee , Sang-chul Ko , Youngjin Park
IPC: A61B5/055 , G01R33/385 , G01R33/54 , A61B5/00
Abstract: A device according to one disclosed embodiment comprises: a control part which determines at least one target frequency of an MRI noise signal generated in an MRI device and generates a control signal for the determined target frequency; and an output part which outputs the control signal, wherein the target frequency is the frequency of the MRI noise signal to be controlled and the control signal is a signal in which at least one of the size and the phase of the MRI noise signal is changed.
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公开(公告)号:US11467728B2
公开(公告)日:2022-10-11
申请号:US16674919
申请日:2019-11-05
Inventor: Se-Bum Paik , Hyeonsu Lee , Youngjin Park
Abstract: Provided are a storage device using a neural network and an operating method of the storage device for automatic redistribution of information and variable storage capacity based on accuracy-storage capacity tradeoff that may learn input information using the neural network and may store the learned information. The neural network may include a plurality of input neurons and a plurality of output neurons; at least one stable synapse configured to connect at least one of the input neurons and at least one of the output neurons, respectively; and at least one flexible synapse configured to connect at least one remaining of the input neurons and at least one remaining of the output neurons, respectively.
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公开(公告)号:US11455980B2
公开(公告)日:2022-09-27
申请号:US16704237
申请日:2019-12-05
Applicant: HYUNDAI MOTOR COMPANY , KIA MOTORS CORPORATION , Korea Advanced Institute of Science and Technology
Inventor: Jung Keun You , MunHwan Cho , Joongkwan Kim , Myoungok Lee , Kaangdok Yee , Youngjin Park , Yeongseok Kim
Abstract: A vehicle and a controlling method thereof are disclosed. The vehicle includes a first seat in which a talker is seated; a second seat in which a passenger is seated; a plurality of speakers provided in the first seat and the second seat; a microphone for receiving the voice of the passenger or the voice of the talker; and a controller configured to control the speaker to output a masking sound tuned based on the voice of the talker or the voice of the passenger.
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