International Business Machines Corporation

The Furukawa Electric Co., Ltd.

Ryo Kawahara

Takayuki Osogami

Kohichi Kamijoh

Masaru Fukushima

Shunichi Matsushita

Nobuyuki Kagi

Kensaku Sekiya

Hiroaki Nakamura

Hiroshi Ishikawa

Takaaki Tateishi

Hiroshi Horii

Kiyokuni Kawachiya

Shi Lei Zhang

Li Zhang

Masaki Ono

Shunichi Amano

Kengo Watanabe

Shinichi Hirose

Keith C Houck

Yoshiki Nomura

Kyosuke Yamauchi

Toyotaro Suzumura

A suspicious pattern can be detected within a transaction network of nodes. Nodes of the network are walked by determining if any adjacent node to a current node is within the suspicious pattern. If an adjacent node is within the suspicious pattern, that node is walked to. Based on the walk, a node sequence can be generated.

Generating sequences of network nodes

An optical fiber connection state determination system determines a state of connection between a first optical fiber configured to propagate a test light input from a light source and a second optical fiber in a connector configured to detachably connect an output side from which the test light is output in the first optical fiber and an input side of the second optical fiber to which the test light propagated by the first optical fiber and output from the first optical fiber is input, and includes: a measurement unit configured to measure an intensity of a reflected light reflected and propagating thorough the first optical fiber in the test light; and a determination unit configured to determine the state of connection between the first optical fiber and the second optical fiber in the connector based on the intensity measured by the measurement unit.

Optical fiber connection state determination system and optical fiber connection state determination method

An example operation may include one or more of receiving a request to verify a data store which stores key-value pairs, mapping values of key-value pairs of the data store to nodes of a hash tree structure based on a key-bucket map in which correlated key-value pairs are mapped to a same bucket or adjacent buckets within the hash tree structure, generating a root hash of the hash tree structure based on the values of the key-value pairs mapped to the nodes of the hash tree structure, and storing the generated root hash with a storage.

Correlation-based hash tree verification

An example operation may include one or more of recording, by a snapshot node, a plurality of snapshots of a key-value storage based on a plurality of delta offsets from an initial snapshot of the key-value storage, receiving, by the snapshot node, an audit request from an audit node that contains an audit time, generating, by the snapshot node, a current snapshot based on an aggregation of the snapshots from the plurality of the snapshots up to a time of a transaction closest to the audit time, and executing, by the snapshot node, a chaincode based on a delta offset of the current snapshot from the time of the transaction to the audit time to restore a snapshot at the audit time.

Snapshot restoration

A method is presented for predicting values of multiple input items. The method includes allowing a user to select a first set of variables and input first values therein and predicting second values for a second set of variables, the second values predicted in real-time as the first values are being inputted by the user. A tree-based prediction model is used to predict the second values. The tree-based prediction model is a regression tree or a decision tree.

Predicting variables where a portion are input by a user and a portion are predicted by a system

An example operation may include one or more of receiving an input comprising an endorsement policy, a structure of a blockchain network, and requirements for degrees of faults to be tolerated, transforming the received input into intermediate data including identifiers of variables which represents fault states of the nodes of the blockchain network, and constraints on the fault states of the nodes by the endorsement policy and the requirements for degrees of faults to be tolerated, negating a subset of the constraints in the intermediate data, determining whether a blockchain which follows the endorsement policy and the requirements for the degrees of faults has blockchain-intrinsic properties based on all the possible fault states, and displaying results of the determination via a display screen.

Blockchain endorsement verification

A pulsed laser device includes a laser light source, an electro-optic modulator, a laser light source driver, an electro-optic modulator driver, and a controller to control the laser light source driver and the electro-optic modulator driver. The laser light source outputs pulsed laser light pulse-modulated by the laser light source driver. The electro-optic modulator outputs pulsed laser light obtained by causing the electro-optic modulator driver to pulse-modulate the pulsed laser light from the laser light source. The control unit controls the laser light source driver and the electro-optic modulator driver such that the electro-optic modulator turns on at least while the laser light source is on and the electro-optic modulator turns on at least once while the laser light source is off, thereby increasing a duty ratio of the pulse modulation for the electro-optic modulator relative to a duty ratio of the pulse modulation for the laser light source.

Pulsed laser device, processing device, and method of controlling pulsed laser device

There is provided a generating apparatus that generates an estimation model for estimating an attribute of an unknown target, the generating apparatus including a training-data acquiring unit acquiring training data including an attribute of a known target, attributes of other targets related to the known target, and a plurality of sets of types of relations between the known target and the other targets and a training processing unit training, using the training data, on the basis of the attribute of the known target and a type of a relation between the known target and the unknown target related to the known target, an estimation model for estimating the attribute of the unknown target, a generating method using the generating apparatus, and a program used in the generating apparatus.

Estimation model for estimating an attribute of an unknown customer

A computer-implemented method for updating a database in a blockchain system to add a block to a blockchain may include: adding an update query to the database as a data item upon receiving the update query to update the database; calculating a hash value based on data items stored in the database, the stored data items including the added data item of the update query; and adding a new block to the blockchain using the hash value.

Deferred update of database hashcode in blockchain

The present invention is achieved as software which operates on a computer system and which performs calculation by receiving various data as inputs, and which outputs values. The present invention is applicable to a coarse-grained system architecture model including the foregoing event-driven simulation and receives, as inputs, execution time T and the number of memory accesses, N, in the simulation step of the model. Thus, various estimates at the occurrence of memory access conflict are obtained at a simulation speed sufficient for evaluating the effect of the memory access conflict and comparing it with many alternative architectures without information on the correct timing of memory accesses in consideration of memory synchronous accesses and arbitration. The results of this simulation are estimated simulation-step execution time T' under memory access conflict and memory-bandwidth utilization factors {U&#x2032;} in individual simulation steps under memory access conflict.

Method and program for estimating operation of program

A technique for enhancing the execution efficiency of simulation of a hybrid system. A continuous system simulator receives a request for evaluation of an event generating conditional expression for an event to be processed by a discrete system simulator, from the discrete system simulator. The event generating conditional expression is evaluated by referring to the value of a first variable describing a continuous system. Until evaluation of the event generating conditional expression indicates true, the continuous system simulator repeats simulation of advancing the current time by a step time interval and evaluation of the event generating conditional expression. When evaluation of the event generating conditional expression indicates true, the continuous system simulator sends current time data and the value of a second variable describing the continuous system which is referred to by the discrete simulator, to the discrete simulator.

Hybrid system simulation method and simulation program product

A proportional constant adjusting circuit is arranged in the AGC circuit of the optical amplifying apparatus, and the proportional constant of the proportional circuit is continuously adjusted in correspondence to the optical input power monitored by the PD and the logarithmic transformation circuit. The AGC circuit controls the pump LD based on the monitored optical input/output power so as to control the gain of the optical amplifier to be a requested value.

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Tokyo, Japan

Ryo Kawahara