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1.发明申请公开(公告)号：US20160196175A1
公开(公告)日：2016-07-07
申请号：US14916007
申请日：2014-03-11
Applicant: NEC CORPORATION
Inventor： Shinji KASAHARA , Katsuhiro OCHIAI
IPC: G06F11/07
CPC classification number: G06F11/079 , G06F11/0706 , G06F11/0751 , G06F11/076
Abstract: An information processing system, an information processing method, and a program capable of satisfactory data analysis are provided. The information processing system includes a frequency conversion unit 205 which converts a plurality of pieces of time-series data obtained through detection carried out by a plurality of sensing units 201 into pieces of frequency data 208, respectively, a model construction unit 211 which generates a correlation model 213 using pieces of the frequency data 208 for at least two sensing units 201 from among the plurality of sensing units 201 and calculates a correlation strength 214 of the correlation model 213, and an error detection unit which determines whether an error has occurred based on the correlation strength 214.
Abstract translation: 提供了一种信息处理系统，信息处理方法和能够令人满意的数据分析的程序。 信息处理系统包括：频率转换单元205，其将通过多个感测单元201执行的检测获得的多个时间序列数据分别转换为频率数据208;模型构建单元211，其生成 相关模型213使用多个感测单元201中的至少两个感测单元201的频率数据208的片段，并且计算相关模型213的相关强度214，以及基于错误检测单元来确定是否发生错误 关于相关强度214。
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Patent Agency Ranking
公开(公告)号：US20200042574A1
公开(公告)日：2020-02-06
申请号：US16498163
申请日：2018-03-19
Applicant: NEC CORPORATION
Inventor： Sho ASANO , Shinji KASAHARA
Abstract: A vegetation effect calculation device includes a memory configured to store instruction and at least one processor configured to execute the instructions to acquire a vegetation parameter being information indicating a characteristic of vegetation flourishing on a slope; and calculate vegetation adhesion per unit area and a total tree weight per unit area, based on the vegetation parameter, a first regression equation being a regression equation between a root diameter and an uprooting resistance, a second regression equation being a regression equation between a breast high diameter and a total tree weight, and a relationship between the uprooting resistance and vegetation adhesion.
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公开(公告)号：US20210181377A1
公开(公告)日：2021-06-17
申请号：US16078969
申请日：2017-02-14
Applicant: NEC CORPORATION
Inventor： Shinji KASAHARA , Yasuhiro SUGISAKI
Abstract: The present invention evaluates, with high precision, the risk of a landslide disaster. An information processing device 100 is provided with: an estimation unit 110 that estimates a parameter indicating a moisture state of soil of a prescribed site, on the basis of a first piece of data indicating the topography, vegetation or geological features of the site and second piece of data indicating the precipitation amount of the site; a correction formula calculation unit 120 that calculates a correction formula, in regards to a first site that is the site at which a sensor for measuring the parameter is installed, using a parameter measured by the sensor and a first parameter which is the parameter estimated for the first site; and a correction unit 130 that uses the calculated correction formula to correct a second parameter, which is the parameter estimated for a second site, which is a site at which the sensor that measures the parameter is not installed.
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公开(公告)号：US20180306677A1
公开(公告)日：2018-10-25
申请号：US15767886
申请日：2016-10-07
Applicant: NEC CORPORATION
Inventor： Ryota MASE , Shinji KASAHARA , Katsuhiro OCHIAI
CPC classification number: G01M99/005 , G01B21/32 , G01H1/00 , G01M5/0008 , G01M5/0033 , G01M7/02 , G01M13/00
Abstract: A structure abnormality detection device that detects an abnormality of a structure includes means for storing a model that predicts, from a first inspection value acquired at a first inspection position, a second inspection value acquired at a second inspection position that is a position where a vibration intensity in vibration of a predetermined vibration mode at a natural frequency of the structure is substantially the same as at the first inspection position; and means for detecting an abnormality of the structure by evaluating fidelity of the first inspection value and the second inspection value acquired at a particular time to the model.
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公开(公告)号：US20200029512A1
公开(公告)日：2020-01-30
申请号：US16498170
申请日：2018-03-19
Applicant: NEC CORPORATION
Inventor： Sho ASANO , Shinji KASAHARA
Abstract: A vegetation effect calculation device includes: a memory configured to store instructions; and at least one processor configured to execute the instructions to: acquire a moisture content of a slope, a relational expression between the moisture content and an adhesion of soil in the slope, and a vegetation adhesion that is an adhesion of vegetation abundantly growing in the slope; calculate a correction value, using the acquired moisture content of the slope, and the acquired relational expression between the moisture content and the adhesion of the soil; and calculate a corrected vegetation adhesion, using the acquired vegetation adhesion, and the calculated correction value.
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公开(公告)号：US20170268874A1
公开(公告)日：2017-09-21
申请号：US15505275
申请日：2015-05-20
Applicant: NEC CORPORATION
Inventor： Shinji KASAHARA
CPC classification number: G01C9/02 , E02D17/20 , G01G17/00 , G01H17/00 , G01L19/00 , G01N33/246 , G08B21/10
Abstract: A slope monitoring system includes an analysis formula variable measuring means 81 which measures values of respective analysis formula variables that are obtained when a state of a test layer has been changed from a test environment in which there exist at least an arbitrary test layer or a test layer identical to a material layer forming a monitoring target slope, and a value of a predetermined first observable amount, and an analysis formula variable modeling means 831 which constructs, based on various values obtained from the test environment, for each of the analysis formula variables, a model defined a relationship of them with a second observable amount that is a predetermined observable amount being the same as the first observable amount, or having a known relationship with the first observable amount, or a predetermined third variable that can be calculated from the second observable amount.
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