Abstract: The present disclosure provides a method, computer system and computer program product facilitating generation of a conversation content. A computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processors, history conversation data of an user; determining, by the device, a professional level of the user based on the history conversation data; and generating, by the device, a conversation content for the user based on the professional level of the user.

Abstract: The present invention comprises a thermally-conductive and electrically-conductive substrate, a bonding layer, a galvanic isolation layer, a P-type electrode, a P-type Bragg reflection layer, a diode light-emitting layer, an N-type Bragg band-pass reflection layer and an N-type electrode stacked in sequence. The galvanic isolation layer comprises a cylindrical opening for accommodating the diode light-emitting layer. The N-type electrode comprises a light-output opening facing the cylindrical opening and completely covering the cylindrical opening. When current input by the N-type electrode passes through the N-type Bragg band-pass reflection layer, it is concentrated under constraint of the galvanic isolation layer and passes through the diode light-emitting layer via the cylindrical opening according to correspondence in position and size of the cylindrical opening and the light-output opening.

Abstract: An electrical connector includes a first conductive terminal, a second conductive terminal, an insulated body integrally molded on the first conductive terminal and the second conductive terminal, and a metallic shell on the insulated body. The insulated body includes a first tongue portion and a second tongue portion aligned side by side. The first conductive terminal is provided with a first contact portion. The second conductive terminal is provided with a second contact portion. The metallic shell includes a first cylinder portion provided with a first space and a second cylinder portion provided with a second space. The first cylinder portion surrounding the first tongue portion and the second cylinder portion surrounding the second tongue portion share a dividing portion for separating the first space from the second space, so that the two electrical connection ports of the electrical connector are independent and avoid mutual influence between the two electrical connection ports.

Abstract: A technique for preventing malicious observance of private information includes presenting, via a graphical user interface, a visible input cue for user input. The visible input cues is associated with an expected input value that differs from the visible input cue. The technique further includes determining a correspondence between the visible input cue and the expected input value before the visible input cue is selected. The correspondence indicates how the visible input cues differs from the expected input value. The technique further includes generating an invisible output that indicates the correspondence between the visible input cue and the expected input value and detecting a selection of the visible input cue via the graphical user interface. The technique further includes using, as the user input, the expected input value instead of the visible input cue in response to the selection of the visible input cue.

Abstract: Systems and method for automated contextual dialog generation for cognitive conversations include embedding a natural language sentence input by a user into a corresponding sentence vector using a sentence embedder. A context array is generated using a contextual sentence embedder to embed the sentence vector and previous sentence vectors of a conversation history into a context array. Response words are predicted from the sentence vector by performing sequence-to-sequence dialog prediction with a dialog prediction network. Context of the input sentence is quantified by extracting context features from the context array using a situation quantification network. A response dialog is generated in natural language to display to a user, the response dialog responding to the input sentence with a response generator by determining a dialog state including the response words and the quantified context and optimizing the response dialog with reinforcement learning corresponding to the dialog state.

Abstract: A connector includes first contacts, second contacts, a middle plate, a first electromagnetic compatibility (EMC) pad, a second EMC pad, an insulating body, and a spacer. The middle plate is clamped between the first contacts and the second contacts. The first EMC pad is located above the first contacts. The second EMC pad is located below the second contacts. The first EMC pad and the second EMC pad are connected to the middle plate respectively. The insulating body is partially embedded with the first contacts, the second contacts, the middle plate, the first EMC pad, and the second EMC pad. The spacer is formed between the first contacts and the second contacts, and is partially embedded with the first contacts and the second contacts. A manufacturing method where the connector is assembled as a semi-finished product in advance is further provided to reduce the production cost.

Abstract: A connector includes an insulated member, a plurality of first conductive terminals, a plurality of second conductive terminals, a shielding shell, and a metal housing. The first conductive terminals are disposed on an upper surface of the insulated member and extending rearward. The second conductive terminals are disposed on a lower surface of the insulated member, extending rearward, and located below the first conductive terminals. The shielding shell is fitted over the insulated member, and the shielding shell has a plug end and a mounting end. The metal housing has a plurality of grounding structures, the metal housing is fitted over the mounting end of the shielding shell, and the grounding structures are completely located below the second conductive terminals.

Abstract: A metallic terminal includes a terminal body, a first plating layer, a second plating layer, and a third plating layer. The first plating layer is on the terminal body, and the thickness of the first plating layer at the bent portion of the terminal body is 0.3 to 1.75 micrometers, and the thickness of rest portions of the first plating layer is 2 to 10 micrometers. The second plating layer is on the first plating layer and corresponds to the contact portion of the terminal body, and the thickness of the second plating layer is 0.5 to 2 micrometers. The third plating layer is on the first plating layer and corresponds to the soldering portion of the terminal body, and the thickness of the third plating layer is 0.01 to 0.1 micrometers. A manufacturing method of metallic terminal is also provided.

Abstract: A computing device is provided, including a display configured to display a graphical user interface (GUI). The GUI may include a table including a plurality of fields arranged in a plurality of primary rows. The GUI may further include a secondary row display selector associated with a primary row. The computing device may further include a user input device. The computing device may further include a processor configured to receive, from the user input device, a first user input selecting the secondary row display selector. In response to the first user input, the processor may output one or more secondary rows associated with the primary row for display in the GUI. The one or more secondary rows may be displayed in the table adjacent to the primary row. The plurality of primary rows and the one or more secondary rows may be displayed in a visually distinguishable manner.

Abstract: A display module includes a backplane, a front frame, a diffusion plate, and a display panel. The display panel is fixedly coupled to the front frame. The backplane includes a base plate and a side plate. The side plate is fixedly coupled to the base plate. The base plate is spaced apart from and opposite to the display panel. At least one backlight is disposed on a side of the base plate facing the display panel. The side plate extends from an end of the base plate to the front frame and cooperatively defines a receiving space with the front frame. The diffusion plate is disposed between the backplane and the display panel and is fixedly mounted within the receiving space.

Abstract: A cross-scale wide-spectrum particle size plugging formula granularity analysis method includes: performing a size classification on a plugging material of a plugging formula; obtaining a particle size distribution of the plugging material by performing procession on each particle plugging material via a laser granularity analysis method and an imaging granularity analysis method, according to difference sizes thereof; obtaining the particle size distribution of the plugging formula by a weighted summation way, according to a granularity interval and an addition of each particle plugging material.

Abstract: A method of replacing an original server 202 in a network by a new server 204, each of the original server and the new server including at least a baseboard management controller (BMC) 206, 218, is disclosed as including generating a set of data including at least one configuration data relating to a hardware of the original server, the BMC of the original server configuring at least one hardware of the original server according to the set of data, and booting the new server and configuring at least one hardware of the new server according to the set of data.

Abstract: A computer-implemented method is provided for processing a set D of conversation logs. The method includes learning, by a processor device, a set R of entity relation mining rules from a set K of known entity utterances uttered by known entities. The method further includes automatically recommending, by the processor device, extended utterances of the known entities from unrecognized ones of the known entities based on the set R.

Abstract: Systems and methods for prioritizing interview questions, including predicting answers to questions in a candidate question set using a neural network model, and generating a ranking for each of the questions in the candidate question set by determining answer confidence, completeness, and ambiguity for each of the answers, and incorporating user preferences using a personalized preference matrix.

Abstract: A method stored in a computer readable medium, including identifying a predetermined object having viewable information from a plurality of frames, identifying a movement of the predetermined object from a video stream of the plurality of frames, identifying a current state of the predetermined object based on a movement of another object or region from the plurality of frames having an occlusion region of a current frame, determining an information change of the viewable information in the plurality of frames, marking a frame with maximum information of the viewable information in the predetermined object as a key frame; and serializing the key frame according to time stamps.

Abstract: A system for automating a process using robotic process automation code includes a memory device for storing program code, and at least one processor device operatively coupled to the memory device. The at least one processor device is configured to execute program code stored on the memory device to process, based on a contextual dictionary, a process description document associated with a process to be automated by a robotic process automation system, automatically generate robotic process automation code based on the processing, and execute the robotic process automation code for automating the process.

Abstract: Systems and method for automated contextual dialog generation for cognitive conversations include embedding a natural language sentence input by a user into a corresponding sentence vector using a sentence embedder. A context array is generated using a contextual sentence embedder to embed the sentence vector and previous sentence vectors of a conversation history into a context array. Response words are predicted from the sentence vector by performing sequence-to-sequence dialog prediction with a dialog prediction network. Context of the input sentence is quantified by extracting context features from the context array using a situation quantification network. A response dialog is generated in natural language to display to a user, the response dialog responding to the input sentence with a response generator by determining a dialog state including the response words and the quantified context and optimizing the response dialog with reinforcement learning corresponding to the dialog state.

Abstract: Embodiments of the present invention relate to computer-implemented methods, systems, and computer program products for managing a conversational system. In one embodiment, a computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processors, a first message sequence comprising messages involved in a conversation between a user and a conversation server; obtaining, by the device, a conversation graph indicating an association relationship between messages involved in a conversation; and in response to determining that the first message sequence is not matched in the conversation graph, updating, by the device, the conversation graph with a second message sequence, the second message sequence being generated based on a knowledge library including expert knowledge that is associated with a topic of the conversation.

Abstract: A computer-implemented method, computer program product, and computer processing system are provided for generating inferences from a forest of predefined problem determination trees using a processor-based conversation platform. The method includes selecting a tree from among the forest of predefined problem determination trees, responsive to user utterances uttered during an inference generating session. The method further includes navigating the tree to allocate a relevant tree node to generate a problem diagnosis question or a problem resolution action by understanding the user utterances among common interaction patterns in problem diagnosis and problem resolution dialogs. The method also includes providing speech for uttering the problem diagnosis question or the problem resolution action to a user.