Nec Corporation

Honda Motor Co., Ltd.

Nippon Telegraph and Telephone Corporation

Konica Minolta, Inc.

Konica Minolta Business Technologies, Inc.

Nec C Orporation

Nikon Corporation

Nippon Electric Co., Ltd.

Tohoku University

Pioneer Electronic Corporation

Komatsu Corporation

Subaru Corporation

Nifco Inc.

Bell Communications Research, Inc.

Hitachi Industrial Equipment Systems Co., Ltd.

Satoshi Hasegawa

Toru Yamada

Masahiro Serizawa

Akira Kamei

Masashi Shimoma

Kyoji Hirata

Yumiko Okuyama

Fumiaki Yamaguchi

Hotaka Sugano

Katsuyasu Yamane

Seonghun Lee

Rina Okada

Shigeto Akahori

Yoko Yamaji

Masazumi Ito

Yusuke Takahashi

Koki Hamada

Hiroyuki Yamagishi

Koji Chida

Hitoshi Saito

Shinyu Hirayama

Shogo Masaki

Zen Ishikura

Susumu Kakuta

Seiji Takahashi

Takayuki Miura

Masao Nagasaki

Kazuharu Misawa

Masashi Hashimoto

Hiroshi Yoshioka

Junpei Noguchi

Yoshihiro Nakagawa

Noriyasu Kotani

Masakazu Sekiguchi

Masahiro Kamiya

Manabu Kato

Mamoru Okano

Gaku Shimamoto

Takahiro Arima

Kazuhito Takai

Masaaki Kishimoto

Naoto Yamamoto

Botaro Hirosaki

Mitsuru Fukumoto

Kunio Furukawa

Akira Hiroshige

Shigeki Nozawa

Nobuo Kambara

Hisahiro Kato

Tsuneaki Takagishi

Yoshiki Nakazawa

Kenichi Yanagisawa

Nobuyoshi Muromoto

Atsushi Taneda

Mai Yokoi

Koichiro Sato

Daigo Mukasa

Naoki Hayashi

Satoshi Tanaka

Koya Shimada

Hiroshi Kamehara

Yu Murakoshi

Tomoko Tamai

Yusuke Okabe

Shohei Yoshida

Hisashi Tai

Ken Harada

Syoichiro Nakai

Hideki Sakauchi

Keiichiro Ito

Hiroshi Sekiguchi

Shinya Maita

Masakazu Hira

Toyoichi Ono

Kazuhiro Kawamoto

Terutada Akiyama

Taichi Goto

Sachio Suzuki

Kouya Shimada

Naoya Takeda

Chiang H Yang

Michihito Asakura

Yasuyo Nishimura

Miho Asano

Keiji Onodera

Kouki Tsukui

Keirai Jyou

Daisuke Kanou

Shoki Yamaguchi

Yasushi Maeda

Machie Saitou

Hiroshi Inui

Youichirou Kurihara

Masahiro Higashi

There is provided a radiographic image processing apparatus including: an acquirer that acquires a dynamic image including a plurality of frame images captured by a radiographic imaging apparatus; a hardware processor that determines whether or not there is an abnormality in the dynamic image by using some of the frame images of the acquired dynamic image; and a notifier that notifies of a result of the determination by the hardware processor.

Radiographic image processing apparatus and computer-readable medium

A round radiography system performing round radiography using a radiographic imaging apparatus includes: a hardware processor that obtains examination information on an examination performing round radiography, and generates additional information for supporting the round radiography in the examination; and a display that displays the obtained examination information, and the generated additional information. The additional information is at least any of a size of the radiographic imaging apparatus, information about appropriateness of a radiographic image, radiographic difficulty, information about trimming of the radiographic image, information on a radiographer, and information about change from a predetermined radiographic condition, in past radiography of a subject of the examination or a subject having a physical size similar to that of the subject.

Round radiography system, console for round radiography, and recording medium

A data replacement apparatus that can perform microaggregation of large-scale data at high speed using only a primary storage device of a small capacity. The data replacement apparatus includes an attribute value set retrieval unit that retrieves a grouped attribute value set into a primary storage device when a size of the grouped attribute value set is equal to or smaller than a predefined size and retrieves the grouped attribute value set into a secondary storage device when the size of the grouped attribute value set is larger than the predefined size. Further, there is a median computation unit that computes a median of the grouped attribute value set at the primary storage device or at the secondary storage device and a division determination unit that sets respective ones of the two attribute value sets formed by the division as new groups.

Data replacement apparatus, data replacement method, and program

The risk evaluation apparatus evaluates the risk of a machine learning model. The risk evaluation apparatus includes a recording unit, a loss function regression model acquirer, an attack noise addition unit, an error acquisition unit, and an evaluation unit. The recording unit records a set of predetermined loss functions and a set of pairs of data and labels predetermined. The loss function regression model acquirer determines a regression model of the loss function in the vicinity of data by nonparametric regression. The attack noise addition unit creates attack data that is an Adversarial Example using the regression model. The error acquisition unit determines the error between the output of the machine learning model when the data is input and the output of the machine learning model when the attack data is input. The evaluation unit evaluates the risk based on a set of errors.

Risk evaluation apparatus, risk evaluation method, and non-transitory computer-readable recording medium

A synthetic data generation apparatus codes a value of each of category attributes contained in original data into a value of a numerical attribute in accordance with a coding rule; generates first synthetic data from the original data after coding using a synthetic data generation method for numerical attributes; if the value of the numerical attribute which is contained in the first synthetic data and corresponds to the value of one of the category attributes exceeds a range of values that can be assumed by the value of that numerical attribute, converts the value of that numerical attribute to a value included in the range of values that can be assumed by the value of that numerical attribute; and decodes the value of the numerical attribute which is contained in the first synthetic data after conversion and corresponds to the value of one of the category attributes to the value of that category attribute in accordance with the coding rule to obtain synthetic data.

Synthetic data generation apparatus, method for the same, and program

Provided is a retention-replacement probability generation device that is capable of generating retention-replacement probability that realizes retention-replacement perturbation of a suitable level. Included are: a global optimal solution determining unit that, outputs a global optimal solution in a case where a global optimal solution exists that is a replacement probability of the attribute values in which the transition matrix P and histogram vector expression v of the attribute values yield ∥Pv−v∥=0; a region generating unit that, in a case where the global optimal solution does not exist, generates a region that is defined by an inequality equivalent to conditions for both replacement probabilities corresponding to i'th and j'th attribute values satisfying ε-differential privacy, and an inequality equivalent to conditions for the replacement probability of one and the retention probability of the other corresponding to the i'th and the j'th attribute values satisfying ε-differential privacy.

Retention-replacement probability generation device, retention-replacement perturbation device, retention-replacement probability generation method, retention-replacement perturbation method, and program

A vehicle control device including: a first terminal position recognition unit that recognizes a first position of a user terminal with respect to a vehicle by activating a first prescribed number of a plurality of second communication antennas and by performing second wireless communication between the vehicle and the user terminal; and a terminal distance recognition unit that: recognizes a distance between the vehicle and the user terminal by activating a second prescribed number, which is less than the first prescribed number, of the second communication antennas based on the first position and by performing the second wireless communication between the vehicle and the user terminal; and, thereafter, repeatedly executes terminal distance recognition processing for recognizing the distance between the vehicle and the user terminal by changing the number of the second communication antennas to be activated in accordance with the distance between the vehicle and the user terminal.

Vehicle control device and vehicle control method

A technique of calculating evaluation values regarding anonymity for a table obtained by anonymizing an arbitrary table is provided. An anonymity evaluation apparatus includes an evaluation target table generation part configured to generate a first evaluation target table of p×L including L records which are sets of values of p master attributes different from each other from a table to be anonymized of M×N and generate a second evaluation target table of p×L by anonymizing the p master attributes in the first evaluation target table from an anonymized table of M×N by anonymizing the p master attributes in the table to be anonymized, where M is the number of attributes, N is the number of records, p is the number of master attributes, and L is the number of sets of values of p master attributes which are different from each other.

Anonymity evaluation apparatus, anonymity evaluation method, and program

An identification-estimation risk assessment apparatus includes a first calculation unit for calculating a first value ΣPr[Δ(t)=t'oγ], which is a sum related to all shuffles of a probability Pr[Δ(t)=t′oγ] that a table Δ(t) obtained by anonymizing the original table t through randomization Δ coincides with a table t′oγ represented as a composite of a shuffle γ and the anonymized table t′; a second calculation unit for calculating a second value ΣPr[Δ(t)=t′oγ], which is a sum related to a shuffle that satisfies γ(r)=r′ of the probability Pr[Δ(t)=t′oγ]; and a third calculation unit for calculating a third value ΣPr[Δ(t)=t′oγ]/ΣPr[Δ(t)=t′oγ] as a risk assessment value of a risk that a record number r is identified and estimated as corresponding to a record number r′, based on the first value and the second value.

Identification estimate risk evaluation apparatus, identification estimate risk evaluation method, and program

An in-vehicle camera fixing structure includes a casing that supports an in-vehicle camera, and a bracket that holds the casing below. The casing includes a fulcrum rod protruding forward, and a left shaft and a right shaft supported above the casing and extending in a lateral direction. The bracket includes a fulcrum support structure that swingably supports the fulcrum rod, left and right temporary shaft placement pieces, and left and right shaft fixing structures that fix the left shaft and the right shaft in front of the left and right temporary shaft placement pieces, respectively. When the casing is directed forward and the casing is attached to the bracket, the left and right temporary shaft placement pieces guide the left shaft and the right shaft forward, and guide the left shaft and the right shaft toward the bracket.

In-vehicle camera fixing structure and casing attaching method

A technique of performing anonymization without impairing usefulness of data. An anonymization apparatus includes an overlapping exclusion part configured to generate a partial table of M×L including L records of a table to be anonymized which have sets of values of p master attributes different from each other, from the table to be anonymized of M×N, where M is the number of attributes, N is the number of records, p is the number of master attributes, and L is the number of sets of values of p master attributes which are different from each other, an anonymization part configured to generate an anonymized partial table of M×L from the partial table by anonymizing the p master attributes in the partial table, and an overlapping restoration part configured to generate an anonymized table of M×N.

Anonymization apparatus, anonymization method, and program

To reduce the feel of incongruity in a model, provided is a detection device comprising: a texture detector that detects texture information of a target object from a first position; a position detector that detects depth information to each point in the target object from a second position different from the first position; a region detector that detects a data deficient region in which the depth information has been acquired but the texture information has not been acquired, on the basis of a detection result of the texture detector and a detection result of the position detector; and an adder that adds specific texture information to the data deficient region.

Detecting device, information processing device, detecting method, and information processing program

A technology that generates a set of generalization hierarchies that reduces information loss when generalizing any kind of data that does not necessarily have a numerical meaning. Included is a second generation part that generates a second generalization hierarchy set that satisfies a predetermined property with respect to a generalization target data set and a generalization hierarchy set (in which the generalization hierarchy set contains a generalization hierarchy including any of the generalization target data included in the generalization target data set as at least one element), and provided that M is the maximum value of the length of the generalization hierarchies included in the generalization hierarchy set, D is a predetermined integer equal to or greater than 1 and less than or equal to M, and D′ is a predetermined integer equal to or greater than D and less than or equal to M.

Generalization hierarchy set generation apparatus, generalization hierarchy set generation method, and program

A data generalization apparatus that can perform generalization processing on large-scale data at high speed using only a primary storage device of a small capacity. Included is a rearrangement unit that rearranges the attribute values in a secondary storage device in accordance with an order of arrangement of the attribute values in a generalization hierarchy in the secondary storage device, an attribute value retrieval unit that retrieves some of the rearranged attribute values from the secondary storage device into a primary storage device, and a generalization hierarchy retrieval unit that retrieves a portion of the generalization hierarchy from the secondary storage device into the primary storage device. Further, there is a generalization processing unit that executes generalization processing based on the attribute values retrieved into the primary storage device and the generalization hierarchy retrieved into the primary storage device, and a re-rearrangement unit.

Data generalization apparatus, data generalization method, and program

The vehicle control system comprises: a first ECU comprising a processor for receiving first information that indicates whether a vehicle is moving and, based on the first information, generating a first control signal to control locking of a steering; and a second ECU comprising a processor for receiving second information that indicates whether the vehicle is moving and, based on the second information, generating a second control signal to control the locking of the steering, wherein the second ECU outputs a signal to lock the steering based on the first control signal and the second control signal.

Vehicle control system, vehicle, and vehicle control method

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Tokyo, Japan

Satoshi Hasegawa