Abstract: A 3D display system and a 3D display method are provided. The 3D display system includes a 3D display, a memory, and a processor. The processor is coupled to the 3D display and the memory and is configured to execute the following steps. As a first type application program is executed, an image content of the first type application program is captured, and a stereo format image is generated according to the image content of the first type application program. The stereo format image is delivered to a runtime complying with a specific development standard through an application program interface complying with the specific development standard. A display frame processing associated with the 3D display is performed on the stereo format image through the runtime, and a 3D display image content generated by the display frame processing is provided to the 3D display for displaying.

Abstract: A smart interpreter engine is provided. The smart interpreter engine includes a speech to text converter, a natural language processing module and a translator. The speech to text converter is utilized for converting speech data corresponding to a first language into text data corresponding to the first language. The natural language processing module is utilized for converting the text data corresponding to the first language into glossary text data corresponding to the first language according to a game software. The translator is utilized for converting the glossary text data corresponding to the first language into text data corresponding to a second language.

Abstract: An electronic device and a method for detecting abnormal device operation are provided. The method includes: obtaining multiple action events of a movable input device, and each action event including a relative coordinate and a time stamp of the movable input device; generating multiple absolute coordinates based on the relative coordinate of each action event; estimating multiple speed vectors based on the absolute coordinates and the time stamp of each action event; estimating multiple acceleration vectors based on the speed vectors and the time stamp of each action event; and estimating a probability of abnormal operation based on the speed vectors and the acceleration vectors.

Abstract: In some examples, a device can include an antenna to emit waves in a radiation pattern having a first beamwidth, a directional radiation control device located in a path of the waves, where the directional radiation control device is to receive the waves from the antenna and is shaped to cause the waves to be directed in a different radiation pattern having a second beamwidth that is larger than the first beamwidth.

Abstract: A semiconductor device includes a plurality of channel layers vertically separated from one another. The semiconductor device also includes an active gate structure comprising a lower portion and an upper portion. The lower portion wraps around each of the plurality of channel layers. The semiconductor device further includes a gate spacer extending along a sidewall of the upper portion of the active gate structure. The gate spacer has a bottom surface. Moreover, a dummy gate dielectric layer is disposed between the gate spacer and a topmost channel layer of plurality of channel layers. The dummy gate dielectric layer is in contact with a top surface of the topmost channel layer, the bottom surface of the gate spacer, and the sidewall of the gate structure.

Abstract: According to one example, a semiconductor device includes a substrate and a fin stack that includes a plurality of nanostructures, a gate device surrounding each of the nanostructures, and inner spacers along the gate device and between the nanostructures. A width of the inner spacers differs between different layers of the fin stack.

Abstract: A method includes forming a test pattern and a reference pattern in an absorption layer of a photomask structure. The test pattern has a first trench and a second trench, the reference pattern has a third trench and a fourth trench, the test pattern and the reference pattern have substantially the same dimension in a top view, and the second trench is deeper than the first trench, the third trench, and the fourth trench. The method further includes emitting a light beam to the test pattern to obtain a first interference pattern reflected from the test pattern, emitting the light beam to the reference pattern to obtain a second interference pattern reflected from the reference pattern; and comparing the first interference pattern with the second interference pattern to obtain a measured complex refractive index of the absorption layer.

Abstract: A stacked integrated circuit (IC) device and a method are disclosed. The stacked IC device includes a first semiconductor element. The first substrate includes a dielectric block in the first substrate; and a plurality of first conductive features formed in first inter-metal dielectric layers over the first substrate. The stacked IC device also includes a second semiconductor element bonded on the first semiconductor element. The second semiconductor element includes a second substrate and a plurality of second conductive features formed in second inter-metal dielectric layers over the second substrate. The stacked IC device also includes a conductive deep-interconnection-plug coupled between the first conductive features and the second conductive features. The conductive deep-interconnection-plug is isolated by dielectric block, the first inter-metal-dielectric layers and the second inter-metal-dielectric layers.

Abstract: A system and method for maximizing bandwidth in an uplink for a 5G communication system is disclosed. Multiple end devices generate image streams. A gateway is coupled to the end devices. The gateway includes a gateway monitor agent collecting utilization rate data of the gateway and an image inspector collecting inspection data from the received image streams. An edge server is coupled to the gateway. The edge server includes an edge server monitor agent collecting utilization rate data of the edge server. An analytics manager is coupled to the gateway and the edge server. The analytics manager is configured to determine an allocation strategy based on the collected utilization rate data from the gateway and the edge server.

Abstract: An electronic system is provided. The electronic system includes a host and a display. The host includes an audio processing module, and a smart interpreter engine. The audio processing module is utilized for acquiring audio data corresponding to a first language from audio streams processed by an application program executed on the host. The application program executed on the host includes a specific game software. The smart interpreter engine is utilized for receiving the audio data corresponding to the first language from the audio processing module and converting the audio data corresponding to the first language into text data corresponding to a second language according to the game software executed on the host The display is utilized for receiving the text data corresponding to the second language from the smart interpreter engine and displaying the text data corresponding to the second language.

Abstract: An electronic device and a method for detecting abnormal device operation are provided. The method includes: obtaining multiple action events of a movable input device, and each action event including a relative coordinate and a time stamp of the movable input device; generating multiple absolute coordinates based on the relative coordinate of each action event; estimating multiple speed vectors based on the absolute coordinates and the time stamp of each action event; estimating multiple acceleration vectors based on the speed vectors and the time stamp of each action event; and estimating a probability of abnormal operation based on the speed vectors and the acceleration vectors.

Abstract: An electronic device and a method for detecting abnormal device operation are provided. The method includes: obtaining multiple action events of a movable input device, and each action event including a relative coordinate and a time stamp of the movable input device; generating multiple absolute coordinates based on the relative coordinate of each action event; estimating multiple speed vectors based on the absolute coordinates and the time stamp of each action event; estimating multiple acceleration vectors based on the speed vectors and the time stamp of each action event; and estimating a probability of abnormal operation based on the speed vectors and the acceleration vectors.

Abstract: A multimedia processing circuit is provided. The multimedia processing circuit includes a smart interpreter engine and an audio engine. The smart interpreter engine includes a speech to text converter, a natural language processing module and a translator. The speech to text converter is utilized for converting speech data into text data corresponding to the first language. The natural language processing module is utilized for converting the text data corresponding to the first language into glossary text data corresponding to the first language according to an application program being executed in a host. The application program comprises a specific game software. The translator is utilized for converting the glossary text data corresponding to the first language into text data corresponding to a second language. The audio engine is utilized for converting the speech data corresponding to the first language into an analog speech signal corresponding to the first language.

Abstract: A smart interpreter engine is provided. The smart interpreter engine includes a speech to text converter, a natural language processing module and a translator. The speech to text converter is utilized for converting speech data corresponding to a first language into text data corresponding to the first language. The natural language processing module is utilized for converting the text data corresponding to the first language into glossary text data corresponding to the first language according to a game software. The translator is utilized for converting the glossary text data corresponding to the first language into text data corresponding to a second language.

Abstract: An electronic device and a method for detecting abnormal device operation are provided. The method includes: obtaining multiple action events of a movable input device, and each action event including a relative coordinate and a time stamp of the movable input device; generating multiple absolute coordinates based on the relative coordinate of each action event; estimating multiple speed vectors based on the absolute coordinates and the time stamp of each action event; estimating multiple acceleration vectors based on the speed vectors and the time stamp of each action event; and estimating a probability of abnormal operation based on the speed vectors and the acceleration vectors.

Abstract: An electronic system is provided. The electronic system includes a host and a display. The host includes an audio processing module, and a smart interpreter engine. The audio processing module is utilized for acquiring audio data corresponding to a first language from audio streams processed by an application program executed on the host. The application program executed on the host includes a specific game software. The smart interpreter engine is utilized for receiving the audio data corresponding to the first language from the audio processing module and converting the audio data corresponding to the first language into text data corresponding to a second language according to the game software executed on the host The display is utilized for receiving the text data corresponding to the second language from the smart interpreter engine and displaying the text data corresponding to the second language.

Abstract: An electronic system is provided. The electronic system includes a host, an audio output device and a display. The host includes an audio processing module, a relay processing module, a smart interpreter engine and a driver. The audio processing module is utilized for acquiring audio data corresponding to a first language from audio streams processed by an application program executed on the host. The smart interpreter engine is utilized for converting the audio data corresponding to the first language into text data corresponding to a second language. The relay processing module is utilized for transmitting the text data corresponding to the second language to the display for displaying. The driver is utilized for converting the data corresponding to the first language into an analog audio signal corresponding to the first language and transmitting the analog audio signal corresponding to the first language to the audio output device for playback.

Abstract: A multimedia processing circuit is provided. The multimedia processing circuit includes a smart interpreter engine and an audio engine. The smart interpreter engine includes a speech to text converter, a natural language processing module and a translator. The speech to text converter is utilized for converting speech data into text data corresponding to the first language. The natural language processing module is utilized for converting the text data corresponding to the first language into glossary text data corresponding to the first language according to an application program being executed in a host. The application program comprises a specific game software. The translator is utilized for converting the glossary text data corresponding to the first language into text data corresponding to a second language. The audio engine is utilized for converting the speech data corresponding to the first language into an analog speech signal corresponding to the first language.

Abstract: A multimedia processing circuit is provided. The multimedia processing circuit includes a smart interpreter engine and an audio engine. The smart interpreter engine includes a noise suppression module, a vocal identification module and a speech to text converter. The noise suppression module is utilized for performing a noise suppression process on speech data corresponding to a first language. The vocal identification module is utilized for performing a vocal identification process on the noise-suppressed speech data corresponding to the first language to generate vocal identification data corresponding to the first language. The speech to text converter is utilized for converting the vocal identification data corresponding to the first language into text data corresponding to the first language.

Abstract: A multimedia processing circuit is provided. The multimedia processing circuit includes a smart interpreter engine and an audio engine. The smart interpreter engine includes a noise suppression module, a vocal identification module and a speech to text converter. The noise suppression module is utilized for performing a noise suppression process on speech data corresponding to a first language. The vocal identification module is utilized for performing a vocal identification process on the noise-suppressed speech data corresponding to the first language to generate vocal identification data corresponding to the first language. The speech to text converter is utilized for converting the vocal identification data corresponding to the first language into text data corresponding to the first language.