Kitakyushu, Japan
Kitakyushu, Japan

Kyushu Institute of Technology is one of the 87 national universities in Japan. Located in Fukuoka Prefecture on the island of Kyushu, it is dedicated to education and research in the fields of science and technology. It is often abbreviated to KIT and sometimes to Kyutech.The founder was Matsumoto Kenjiro, second son of Yasukawa Keiichiro, and the links with the Yaskawa Electric Corporation remain strong to this day. The centenary of the opening of the Tobata campus is being celebrated in 2009, with Founder's Day on May 28, 2009.The most famous alumnus is "Mr. Tornado", the severe storms researcher Tetsuya "Ted" Fujita. He graduated in 1943 and was an associate professor until 1953 when he was invited to the University of Chicago. Wikipedia.


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Patent
Kyushu Institute of Technology | Date: 2015-03-17

A sound wave sensor, capable of reliably detecting presence or absence of a banknote very easily with use of sound waves, is provided. The sound wave sensor includes a sounding body 2 that outputs a sound wave signal of a predetermined frequency, an echo body 3 opposed to the sounding body 2 in a direction in which the sounding body 2 outputs the sound wave signal, the echo body 3 being provided at a position where the sound wave signal resonates at the predetermined frequency; a slit 5 through which a sheet-like banknote 4 passes, the slit 5 being provided between the sounding body 2 and the echo body 3; and a resonance determination unit 6 that determines a resonant state of the frequency output from the sounding body 2. The resonance determination unit 6 determines a resonant state by detecting variation in power consumption of the sounding body 2.


Patent
Fuji Jukogyo Kabushiki Kaisha and Kyushu Institute of Technology | Date: 2016-08-24

According to one implementation, an explosive spark estimation system includes an explosive spark estimation system includes a measuring system and a processing system. The measuring system is adapted to measure intensity of light, included in a spark occurred from an object to be tested. The light is within at least one specific wavelength band. The processing system is adapted to determine whether the spark is explosiveness based on the intensity of the light. Further, according to one implementation, an explosive spark estimation method includes: measuring intensity of light, included in a spark occurred from an object to be tested, within at least one specific wavelength band; and determining whether the spark is explosive, based on the intensity of the light.


Patent
MegaChips Corporation and Kyushu Institute of Technology | Date: 2016-11-18

Provided is a state estimation apparatus that enables more accurate and robust detection and tracking of an object by obtaining a plurality of sets of observation data for a tracking target object and estimating the internal state of the object using a plurality of likelihoods calculated from the obtained sets of observation data. The state estimation apparatus obtains first observation data and second observation data, each of which is composed of a plurality of pieces of observation data, and obtains possibility measurement data and necessity measurement data from the obtained plurality of pieces of observation data. In the state estimation apparatus, a likelihood obtaining unit obtains a first likelihood wp and a second likelihood wn from the possibility measurement data and the necessity measurement data. Using the obtained first likelihood wp and second likelihood wn enables the internal state of the object to be estimated.


Patent
MegaChips Corporation and Kyushu Institute of Technology | Date: 2017-03-01

Provided is a state estimation apparatus that enables more accurate and robust detection and tracking of an object by obtaining a plurality of sets of observation data for a tracking target object and estimating the internal state of the object using a plurality of likelihoods calculated from the obtained sets of observation data. The state estimation apparatus (1000) obtains first observation data and second observation data, each of which is composed of a plurality of pieces of observation data, and obtains possibility measurement data and necessity measurement data from the obtained plurality of pieces of observation data. In the state estimation apparatus (1000), a likelihood obtaining unit (5) obtains a first likelihood wp and a second likelihood wn from the possibility measurement data and the necessity measurement data. Using the obtained first likelihood wp and second likelihood wn enables the internal state of the object to be estimated, Thus, the state estimation apparatus (1000) enables a detection process and a tracking process to be performed for various objects more accurately and robustly.


Patent
Fuji Jukogyo Kabushiki Kaisha and Kyushu Institute of Technology | Date: 2017-03-22

According to one embodiment, an explosive spark estimation system (1) includes a measuring system (3) and a processing system (4). The measuring system (3) is adapted to measure intensity of light, included in a spark (S) occurred from an object (O) to be tested. The light is within at least one specific wavelength band. The processing system (4) is adapted to determine whether the spark (S) is explosiveness based on the intensity of the light. Further, according to one embodiment, an explosive spark estimation method includes: measuring intensity of light, included in a spark (S) occurred from an object (O) to be tested, within at least one specific wavelength band; and determining whether the spark (S) is explosive, based on the intensity of the light.


Patent
Lintec Corporation and Kyushu Institute of Technology | Date: 2016-01-06

The invention provides a thermoelectric conversion material having a low thermal conductivity and an improved figure of merit and a production method for the material, and also provides a thermoelectric conversion module. The thermoelectric conversion material has, on a porous substrate having microscopic pores, a thermoelectric semiconductor layer formed of a thermoelectric semiconductor material, wherein the porous substrate has a polymer layer (B) on a plastic film (A) and the microscopic pores are formed in the polymer layer (B) and in a part of the plastic film (A). The production method for the thermoelectric conversion material comprises a substrate formation step of forming a porous substrate including a step 1, a step 2 and a step 3, and comprises a film formation step of forming a thermoelectric semiconductor layer through film formation of a thermoelectric semiconductor material on the porous substrate. The thermoelectric conversion module uses the thermoelectric conversion material.


Patent
MegaChips Corporation and Kyushu Institute of Technology | Date: 2016-03-22

The position of a moving object is estimated with high accuracy based on landmark information, and highly accurate state estimation is performed appropriately at high speed. A landmark detection unit obtains a distance between the moving object and each of two or more landmarks as landmark distance information based on observation data obtained by an observation obtaining unit. A candidate area obtaining unit determines a candidate area for a position of the moving object based on the landmark distance information obtained by the landmark detection unit, and obtains candidate area information indicating the determined candidate area. A state estimation unit estimates an internal state of the moving object based on the observation data, the landmark distance information, and the candidate area information to obtain moving object internal state estimation data, and estimates the environmental map based on the candidate area information and the landmark distance information to obtain environmental map data.


Patent
MegaChips Corporation and Kyushu Institute of Technology | Date: 2016-03-22

A moving object controller efficiently generates an environmental map and performs highly accurate state estimation in a short time to appropriately control a moving object. An observation obtaining unit obtains observation data from an observable event. A landmark prediction unit generates a landmark prediction signal including predictive information about a landmark at a current time. A landmark detection unit detects information about the landmark at the current time, and generates a landmark detection signal indicating the detection result. A state estimation unit estimates an internal state of the moving object to obtain data indicating an estimated internal state of the moving object at the current time, and estimates the environmental map based on the landmark detection signal to obtain data indicating an estimated environmental map at the current time.


Patent
MegaChips Corporation and Kyushu Institute of Technology | Date: 2016-01-20

The purpose of the present invention is to provide a state estimation apparatus that appropriately estimates the internal state of an observation target by determining likelihoods from a plurality of observations. An observation obtaining unit (1) of the state estimation system (1000) obtains, at given time intervals, a plurality of observation data obtained from an observable event. The observation selecting unit (2) selects a piece of observation data from the plurality of pieces of observation data obtained by the observation obtaining unit (1) based on a posterior probability distribution data obtained at a preceding time t-1. The likelihood obtaining unit (3) obtains likelihood data based on the observation data selected by the observation selecting unit (2) and predicted probability distribution data obtained through prediction processing using the posterior probability distribution data. The posterior probability distribution estimation unit (4) estimates posterior probability distribution data representing a state of the observable event based on the predicted probability distribution data obtained by the likelihood obtaining unit (3) and the likelihood data. The prior probability distribution output unit (5) outputs prior probability distribution data based on the posterior probability distribution data estimated by the posterior probability distribution estimation unit (4) as prior probability distribution data at a next time t+1.


Patent
MegaChips Corporation and Kyushu Institute of Technology | Date: 2016-06-15

A state estimation apparatus obtains observation data sets for a tracking target object, and estimates an internal state of the object using likelihoods obtained from the observation data sets and the reliability of each observation data set. A first observation obtaining unit obtains first observation data. A second observation obtaining unit obtains second observation data. A first likelihood obtaining unit obtains a first likelihood based on the first observation data. A second likelihood obtaining unit obtains a second likelihood based on the second observation data. A likelihood combining unit obtains a combined likelihood based on the first and second likelihoods, first reliability data indicating the reliability of the first observation data, and second reliability data indicating the reliability of the second observation data. A posterior probability distribution obtaining unit obtains posterior probability distribution data indicating a probability distribution of the internal state of the observation target at current time t from the combined likelihood and predictive probability distribution data.

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