Abstract: An ultra-wideband electromagnetic band gap (EBG) structure includes multiple EBG units in an array. Each EBG unit includes a power plane, a dielectric substrate and a ground plane from top to bottom. The power plane includes a patch, a coupled complementary split ring resonator (C-CSRR) and a plurality of semi-improved Z-bridge structures. Each edge of the patch is provided with a semi-improved Z-bridge structure. The C-CSRR is provided within a ring formed by the semi-improved Z-bridge structures. The Z-bridge structure includes a first horizontal branch, a first vertical branch, a second horizontal branch and a second vertical branch connected in sequence. The second vertical branch is connected to the patch. First horizontal branches of adjacent EBG units are connected to each other. A circuit board including the aforementioned EBG structure is also provided.

Abstract: Provided is a method for treating an oil gas, which can realize high-efficiency separation for and recovery of gasoline components, C2, C3, and C4 components. The method first conducts separation of light hydrocarbon components from gasoline components, and then performs subsequent treatment on a stream rich in the light hydrocarbon components, during which it is no longer necessary to use gasoline to circularly absorb liquefied gas components, which significantly reduces the amount of gasoline to be circulated and reduces energy consumption throughout the separation process. Besides, in this method, impurities, such as H2S and mercaptans, in the stream rich in the light hydrocarbon components are removed first before the separation for the components. This ensures that impurities will not be carried to a downstream light hydrocarbon recovery section, thus avoiding corrosion issues caused by hydrogen sulfide in the light hydrocarbon recovery section.

Abstract: A pervaporation cell is described which may be used for the removal of water from a mixture containing an ionic liquid and water and optionally a solvent, incorporating an ionomeric membrane. A method of pervaporation using the pervaporation cell is also described.

Abstract: A conversation scenario editor generates/edits a conversation scenario for an automatic conversation system. The system includes a conversation device and a conversation server. The conversation device generates an input sentence through speech recognition of an utterance by a user. The conversation server determines the reply sentence based on the conversation scenario when a reply sentence to the input sentence is requested from the conversation device. The editor includes a language model generator for generating a language model to be used for the speech recognition based on the conversation scenario. According to the editor, a non-expert can generate the language model to provide an adequate conversation based on the speech recognition.

Abstract: An automatic answering device and an automatic answering method for automatically answering to a user utterance are configured: to prepare a conversation scenario that is a set of input sentences and replay sentences, the input sentences each corresponding to a user utterance assumed to be uttered by a user, the reply sentences each being an automatic reply to the inputted sentence; to accept a user utterance; to determine the reply sentence to the accepted user utterance on the basis of the conversation scenario; and to present the determined reply sentence to the user. Data of the conversation scenario have a data structure that enables the inputted sentences and the reply sentences to be expressed in a state transition diagram in which each of the inputted sentences is defined as a morphism and the reply sentence corresponding to the inputted sentence is defined as an object.

Abstract: The present invention includes a morpheme extracting unit 420 configured to extract, based on a character string corresponding to input information, at least one morpheme constituting a minimum unit of the character string, as first morpheme information, a topic search unit 340 configured to compare the first morpheme information extracted at the morpheme extracting unit 420 with topic titles, and to search a topic title corresponding to the first morpheme information from among the topic titles, and a reply retrieval unit 350 configured to retrieve, based on the topic title searched at a topic identification information search unit 320, a reply sentence associated with the topic title.

Abstract: A conversation controller outputs a reply sentence according to a user utterance. The conversation controller comprises a conversation database and a conversation control unit. The conversation database stores a plurality of plans. Each plan has a reply sentence and one or more pieces of next plan designation information for designating a next candidate reply sentence to be output following the reply sentence. The conversation control unit selects one of the plans stored in the conversation database according to a user utterance and outputs a reply sentence which the selected plan has. Then, the conversation control unit selects one piece of the next plan designation information which the plan has according to a next user utterance and outputs a next candidate reply sentence on the basis of the selected piece of the next plan designation information. Some plans have a series of questions as the reply sentences.

Abstract: A conversation controller outputs a reply sentence according to a user utterance. The conversation controller comprises a conversation database and a conversation control unit. The conversation database stores a plurality of plans. Each plan has a reply sentence and one or more pieces of next plan designation information for designating a next candidate reply sentence to be output following the reply sentence. The conversation control unit selects one of the plans stored in the conversation database according to a user utterance and outputs a reply sentence which the selected plan has. Then, the conversation control unit selects one piece of the next plan designation information which the plan has according to a next user utterance and outputs a next candidate reply sentence on the basis of the selected piece of the next plan designation information. Some plans have a plurality of reply sentences into which one explanatory sentence is divided.

Abstract: A conversation controller outputs a reply sentence according to a user utterance. The conversation controller comprises a conversation database and a conversation control unit. The conversation database stores a plurality of plans. Each plan has a reply sentence and one or more pieces of next plan designation information for designating a next candidate reply sentence to be output following the reply sentence. The conversation control unit selects one of the plans stored in the conversation database according to a user utterance and outputs a reply sentence which the selected plan has. Then, the conversation control unit selects one piece of the next plan designation information which the plan has according to a next user utterance and outputs a next candidate reply sentence on the basis of the selected piece of the next plan designation information. Some plans have a plurality of reply sentences into which one explanatory sentence is divided.

Abstract: To return a predetermined answer in a predetermined order, even in the event that user utterance contents differ from an original objective.

Abstract: The present invention is a conversation control apparatus for carrying out conversation control based on both speech content and conversation state and information acquired from outside, and carrying out natural responses. This apparatus comprises a conversation database storing a plurality of items of conversation topic specifying information, a conversation control unit for selecting a reply sentence using conversation topic specifying information determined using the conversation history and conversation information, and an environment recognition unit for acquiring environment recognition information, wherein the environment recognition unit generates event information based on acquired environment recognition information, and the conversation control unit selects a reply sentence based on the event information.

Abstract: A conversation scenario editor generates/edits a conversation scenario for an automatic conversation system. The system includes a conversation device and a conversation server. The conversation device generates an input sentence through speech recognition of an utterance by a user. The conversation server determines the reply sentence based on the conversation scenario when a reply sentence to the input sentence is requested from the conversation device. The editor includes a language model generator for generating a language model to be used for the speech recognition based on the conversation scenario. According to the editor, a non-expert can generate the language model to provide an adequate conversation based on the speech recognition.

Abstract: An automatic answering device and an automatic answering method for automatically answering to a user utterance are configured: to prepare a conversation scenario that is a set of input sentences and replay sentences, the input sentences each corresponding to a user utterance assumed to be uttered by a user, the reply sentences each being an automatic reply to the inputted sentence; to accept a user utterance; to determine the reply sentence to the accepted user utterance on the basis of the conversation scenario; and to present the determined reply sentence to the user. Data of the conversation scenario have a data structure that enables the inputted sentences and the reply sentences to be expressed in a state transition diagram in which each of the inputted sentences is defined as a morphism and the reply sentence corresponding to the inputted sentence is defined as an object.

Abstract: The use of extract form Wangla (coeloglossum viride (L) Hartm. Var. Bracteatum (Willd.) Richter), succinate derivative esters, and a derivative and pharmaceutical acceptable salts thereof, for the manufacture of a pharmaceutical preparation for the treatment of dementia, particularly for the treatment of Alzheimer' disease and Vascular dementia. Through Animal experiment, it has been demonstrated that, succinate derivative esters can improve learning and memory ability in dementia rats induced by scopolamine and cyclohexenyl imine; improve learning and memory ability in dementia rats induced by ?-amyloid; improve learning and memory ability in dementia rats induced by permanent ligation of bilateral carotid; and improve memory ability of normal animals. It has the advantage of high activity, low toxicity and no inhibition to cholinesterase.

Abstract: An automatic conversation apparatus includes a speech recognizing unit receiving a speech signal and outputting characters/character string corresponding to the speech signal as a recognition result; a speech recognition dictionary storing unit storing a language model for determining candidates corresponding to the speech signal; a conversation database storing plural pieces of topic specifying information; a sentence analyzing unit analyzing the characters/character string outputted from the speech recognizing unit; and a conversation control unit storing a conversation history and acquiring an answer sentence based on an analysis result of the sentence analyzing unit.

Abstract: A conversation controller outputs a reply sentence according to a user utterance. The conversation controller comprises a conversation database and a conversation control unit. The conversation database stores a plurality of plans. Each plan has a reply sentence and one or more pieces of next plan designation information for designating a next candidate reply sentence to be output following the reply sentence. The conversation control unit selects one of the plans stored in the conversation database according to a user utterance and outputs a reply sentence which the selected plan has. Then, the conversation control unit selects one piece of the next plan designation information which the plan has according to a next user utterance and outputs a next candidate reply sentence on the basis of the selected piece of the next plan designation information. Some plans have a plurality of reply sentences into which one explanatory sentence is divided.

Abstract: To maintain an establishment of a conversation according to a user utterance condition, even in respect to an “answer impossible” user utterance.

Abstract: To return a predetermined answer in a predetermined order, even in the event that user utterance contents differ from an original objective.

Abstract: A conversation controller outputs a reply sentence according to a user utterance. The conversation controller comprises a conversation database and a conversation control unit. The conversation database stores a plurality of plans. Each plan has a reply sentence and one or more pieces of next plan designation information for designating a next candidate reply sentence to be output following the reply sentence. The conversation control unit selects one of the plans stored in the conversation database according to a user utterance and outputs a reply sentence which the selected plan has. Then, the conversation control unit selects one piece of the next plan designation information which the plan has according to a next user utterance and outputs a next candidate reply sentence on the basis of the selected piece of the next plan designation information. Some plans have a series of questions as the reply sentences.

Abstract: A conversation controller outputs a reply sentence according to a user utterance. The conversation controller comprises a conversation database and a conversation control unit. The conversation database stores a plurality of plans. Each plan has a reply sentence and one or more pieces of next plan designation information for designating a next candidate reply sentence to be output following the reply sentence. The conversation control unit selects one of the plans stored in the conversation database according to a user utterance and outputs a reply sentence which the selected plan has. Then, the conversation control unit selects one piece of the next plan designation information which the plan has according to a next user utterance and outputs a next candidate reply sentence on the basis of the selected piece of the next plan designation information. Some plans have a plurality of reply sentences into which one explanatory sentence is divided.