Samsung Electronics Co., Ltd.

Yongjun Park

Jin Woo Kim

Jungmin Park

Dongil Son

Hyunsoo Kim

Jaehyuk Choi

Joon Young Heo

Jaehwan Lee

Scott Mahlke

Seunggoo Kang

Kyuyoung Kim

Hyunchul Park

Gihoon Lee

Jaehyun Bae

Byounggeun Choi

Heejun Shim

Byoungryoul Song

Taelee Lee

Sukjin Kim

Yungyu Bae

Hyundon Yoon

Bokkeun Kim

Hoonsang Yoo

Gyeongsik Kim

Jongsun Oh

Manseob Kim

Gunjong Bong

Hyeongyo Jeong

Heonhyung Lee

An electronic device for a session management function (SMF) may comprise memory storing instructions and at least one processor. The instructions may cause the electronic device to: obtain a first load value for a second time interval before selecting a serving user plane function (UPF), estimated based on an artificial intelligence model (AI model) using first load information of each of UPFs measured within a first time interval before the second time interval, obtain a second load value for the second time interval, calculated by using second load information of each of the UPFs measured within the second time interval, determine a difference between the first load value and the second load value, and determine, using the difference, whether to use a predicted load value of each of the UPFs obtained based on the AI model to select the serving UPF from among the UPFs.

Apparatus and method for selecting entity based on data

An electronic apparatus includes a memory, a communication interface, and a processor configured to receive, from an external device through the communication interface, information corresponding to a user voice input obtained by the external device, perform a function corresponding to a trigger recognition on the user voice input based on trigger information corresponding to a trigger stored in the memory, and based on the user voice input not including the trigger corresponding to the trigger information based on the trigger recognition, perform a function corresponding to a voice recognition on the user voice input based on the information corresponding to the user voice input obtained by the external device, wherein the information corresponding to the user voice input obtained by the external device includes similarity information between the user voice input obtained by the external device and the trigger information.

Electronic apparatus and controlling method thereof

Disclosed in various embodiments of the present invention are an electronic device for controlling a clock frequency and an operating method therefor. The electronic device comprises a communication module and a processor, wherein the processor can be configured to check, by using the communication module, a state of a downlink channel of a carrier to be transmitted, determine, on the basis of the channel state, a reference frequency band for a signal to be transmitted through the communication module, determine, as a first clock frequency, a clock frequency for at least one constituent element included in the electronic device if the reference frequency band is a first reference frequency band, and determine, as a second clock frequency, a clock frequency for at least one constituent element included in the electronic device if the reference frequency band is a second reference frequency band. Other embodiments are also possible.

Electronic device for controlling clock frequency and operating method therefor

An electronic apparatus includes a memory configured to store a preset password, and a processor configured to provide information with respect to a password modification method and to perform an authentication process for an input password using the preset password and the password modification method.

Electronic apparatus, method for controlling thereof and computer readable recording medium

A portable communication device is provided. The communication device includes a first communication circuitry configured to perform communication using a first frequency band, a second communication circuitry configured to perform communication using a second frequency band, and at least one processor configured to receive a reference signal transmitted from a first external electronic device using the first communication circuitry, and when a received power corresponding to the reference signal belongs to a specified first range, communicate with at least one external electronic device through multiple cellular connections by transmitting a first signal of the first frequency band to the first external electronic device through a first cellular connection established using the first communication circuitry and substantially concurrently transmitting a second signal of the second frequency band to a second external electronic device through a second cellular connection established using the second communication circuitry.

Apparatus and method for selecting uplink based on communication state

Disclosed are an electronic device and method for detecting the proximity of an object. In an embodiment, the electronic device includes a communication module, a sound emitter, a sound receiver, and a processor. The processor receives at least one part of a voice signal from a calling party through the communication module, and determines whether there is a voice idle time in the at least one part of the voice signal. When the voice idle time is present in the at least one part of the voice signal, the processor outputs a sound wave in an inaudible frequency band through the sound emitter during the voice idle time. Then the processor receives, through the sound receiver, sound wave in the inaudible frequency band reflected from an object. Next, the processor may detect whether the object is proximate to the electronic device using the reflected sound wave in the inaudible frequency band.

Method for detecting proximity of object and electronic device using the same

Disclosed is configuration memory access technology in a processor with a reconfigurable architecture. The processor with the reconfigurable architecture includes an array of processing elements (PEs), a configuration memory and a token network. The configuration memory stores configuration data associated with controlling data flow of the respective PEs. The token network reads the configuration data from the configuration memory, estimates data flow of the PEs from the read configuration data, reads required configuration data from the configuration memory based on the estimated data flow, and supplies the required configuration data to corresponding PEs. By reducing configuration memory access frequency through a token network, power consumption may be reduced.

Processor with reconfigurable architecture including a token network simulating processing of processing elements

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Suwon-si, South Korea

Yongjun Park