Abstract: Provided is an electric throttle valve 10 including: a valve body 16 including an accommodating space 19 therein and having an opening 25 that faces the accommodating space 19; a cover 11 secured to the valve body and covering the opening 25; and an electric motor 12 and a sensor 60 installed in the accommodating space 19, the cover 11 including a connector 30 for connection of a wiring between the electric motor 12 or the sensor 60 and outside, the connector 30 being installed in a desired direction with respect to the cover 11 and secured to the cover 11.

Abstract: This application relates to apparatus and methods for identifying fraudulent transactions. In some examples, a computing device generates a decision matrix to identify fraudulent transactions. To generate the decision matrix, the computing device may determine scores for a plurality of transactions, and may determine transaction categories for each transaction based on the scores. The computing device may also determine a number of predictable features based on applying machine learning techniques to the transactions. A risk category is then determined for the number of predictable features. The computing device generates the decision matrix based on the transaction categories and the risk categories. In some examples, the computing device applies the generated decision matrix to an ongoing purchase transaction to determine if the ongoing purchase transaction is fraudulent.

Abstract: This application relates to apparatus and methods for identifying fraudulent transactions. In some examples, a computing device generates a decision matrix to identify fraudulent transactions. To generate the decision matrix, the computing device may determine scores for a plurality of transactions, and may determine transaction categories for each transaction based on the scores. The computing device may also determine a number of predictable features based on applying machine learning techniques to the transactions. A risk category is then determined for the number of predictable features. The computing device generates the decision matrix based on the transaction categories and the risk categories. In some examples, the computing device applies the generated decision matrix to an ongoing purchase transaction to determine if the ongoing purchase transaction is fraudulent.

Abstract: This application relates to apparatus and methods for identifying fraudulent transactions. In some examples, a computing device generates a decision matrix to identify fraudulent transactions. To generate the decision matrix, the computing device may determine scores for a plurality of transactions, and may determine transaction categories for each transaction based on the scores. The computing device may also determine a number of predictable features based on applying machine learning techniques to the transactions. A risk category is then determined for the number of predictable features. The computing device generates the decision matrix based on the transaction categories and the risk categories. In some examples, the computing device applies the generated decision matrix to an ongoing purchase transaction to determine if the ongoing purchase transaction is fraudulent.

Abstract: This application relates to apparatus and methods for identifying fraudulent transactions. In some examples, a computing device generates a decision matrix to identify fraudulent transactions. To generate the decision matrix, the computing device may determine scores for a plurality of transactions, and may determine transaction categories for each transaction based on the scores. The computing device may also determine a number of predictable features based on applying machine learning techniques to the transactions. A risk category is then determined for the number of predictable features. The computing device generates the decision matrix based on the transaction categories and the risk categories. In some examples, the computing device applies the generated decision matrix to an ongoing purchase transaction to determine if the ongoing purchase transaction is fraudulent.

Abstract: An apparatus, a method and a computer program product are disclosed. The apparatus includes a display that displays an image, a timing detection unit that detects an input operation timing, and an input area display unit that displays an input area oriented towards a preset direction. The method includes displaying an image, detecting a timing of an input operation, and displaying an input area oriented towards a preset direction. The computer program product includes a computer readable storage medium that stores code to perform displaying an image, detecting a timing of an input operation.

Abstract: An apparatus, a method and a computer program product are disclosed. The apparatus includes a display that displays an image, a timing detection unit that detects an input operation timing, and an input area display unit that displays an input area oriented towards a preset direction. The method includes displaying an image, detecting a timing of an input operation, and displaying an input area oriented towards a preset direction. The computer program product includes a computer readable storage medium that stores code to perform displaying an image, detecting a timing of an input operation.

Abstract: Electronic payment card money laundering detection includes receiving real-time payment card transaction data from ingress channels and an egress channels of at least one payment card system through a first API; generating transactional profiles for each of at least payment cards, the ingress channel, the egress channels, and funding sources of the payment cards; in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compares the transaction data to the transactional profiles to calculate a probabilistic money laundering score for the current transaction; evaluating the probabilistic money laundering score and current transaction data based on a set of rules to generate a suspicious activity report that recommends whether to approve or report the current transaction; and transmitting the suspicious activity report back to the payment card system and transmitting the suspicious activity report to an identified regulato

Abstract: Exemplary embodiments for detecting electronic payment card fraud include receiving real-time payment card transaction data from ingress channels and an egress channels of at least one payment card system through a first application programming interface (API); generating transactional profiles for each of at least payment cards, the ingress channel, the egress channels, and funding sources of the payment cards; in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compare the transaction data to the transactional profiles to calculate a probabilistic fraud score for the current transaction; evaluating the probabilistic fraud score and the current transaction data based on a set of rules to generate a recommendation to approve, decline or review the current transaction; and transmitting the recommendation back to the payment card system via a second API.

Abstract: A system for generating and deploying rules in a business rule management system (BRMS) is described. An example system includes a communications module and a translator. The communications module may be configured to receive an input. The input may specify a rule expressed in a custom syntax. The translator may be configured to translate the rule expressed in the custom syntax into a translated rule. The translated rule may be in a form of a source code suitable for being compiled into an executable module.

Abstract: Electronic payment card money laundering detection includes receiving real-time payment card transaction data from ingress channels and an egress channels of at least one payment card system through a first API; generating transactional profiles for each of at least payment cards, the ingress channel, the egress channels, and funding sources of the payment cards; in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compares the transaction data to the transactional profiles to calculate a probabilistic money laundering score for the current transaction; evaluating the probabilistic money laundering score and current transaction data based on a set of rules to generate a suspicious activity report that recommends whether to approve or report the current transaction; and transmitting the suspicious activity report back to the payment card system and transmitting the suspicious activity report to an identified regulato

Abstract: Exemplary embodiments for detecting electronic payment card fraud include receiving real-time payment card transaction data from ingress channels and an egress channels of at least one payment card system through a first application programming interface (API); generating transactional profiles for each of at least payment cards, the ingress channel, the egress channels, and funding sources of the payment cards; in response to receiving transaction data for a current payment card transaction, evaluating the transaction data using a predictive algorithm that compare the transaction data to the transactional profiles to calculate a probabilistic fraud score for the current transaction; evaluating the probabilistic fraud score and the current transaction data based on a set of rules to generate a recommendation to approve, decline or review the current transaction; and transmitting the recommendation back to the payment card system via a second API.

Abstract: A system for generating and deploying rules in a business rule management system (BRMS) is described. An example system includes a communications module and a translator. The communications module may be configured to receive an input. The input may specify a rule expressed in a custom syntax. The translator may be configured to translate the rule expressed in the custom syntax into a translated rule. The translated rule may be in a form of a source code suitable for being compiled into an executable module.

Abstract: An ablation catheter which has an electrode that can electrically cauterize a living body tissue at the tip side of a catheter, and this electrode is characterized in that the vibration and/or rotation of the electrode is controllable according to the temperature of the cauterization portion.

Abstract: According to the invention, case members each include a main surface and side surfaces provided at ends of the main surface. At a corner where a pair of side surfaces in at least one of the case members adjoin, an integral part having at least one pair of continuously integrated side surfaces is provided. Therefore, the corners of the case members can be prevented from bending or deforming, and the mechanical strength of the main surface can be improved. Therefore, the shock resistance can be improved, and the thickness of the case members can be reduced in order to reduce the size and weight of the device.

Abstract: In a xerographic copying apparatus of the invention, a control unit to control a stepping motor to cause rotation of an image supporting body to synchronize with running of a transfer medium performs acceleration and deceleration of a rotation speed of the image supporting body while the image supporting body is rotating in a reverse rotation direction, and accordingly, paper powder or foreign matter accumulated in a cleaning mechanism to clean a developer on the image supporting body can be collected, the occurrence of abnormal noise is prevented, and a definite amount of reverse rotation of the image supporting body can be realized while avoiding damage of the image supporting body due to a speed difference between the image supporting body and the transfer medium.

Abstract: The present invention includes a frame, an optical pick-up module fixed to the frame and a circuit board forming a control circuit fixed to the frame. The frame has fixing parts to other members.

Abstract: The present invention includes a frame, an optical pick-up module fixed to the frame and a circuit board forming a control circuit fixed to the frame. The frame has fixing parts to other members.

Abstract: There is provided an exhaust-heat using refrigerating system which can add the function of refrigerant heater, condenser or super-cooler by using exhaust heat. The system comprises a heat pump apparatus 1 equipped with a compressor 12, a first heat exchanger 14, a pressure-reducing device 15 and a second heat exchanger 21, and an absorption type refrigerating machine 5 equipped with a regenerator 51 using exhaust heat as a heat source, a condenser 53, an evaporator 54 and an absorber 55. A third heat exchanger 17 is connected to the first heat exchanger 14 in parallel, and the heat source of the third heat exchanger 17 is achieved from the evaporator 54 of the absorption type refrigerating machine.

Abstract: According to the invention, case members each include a main surface and side surfaces provided at ends of the main surface. At a corner where a pair of side surfaces in at least one of the case members adjoin, an integral part having at least one pair of continuously integrated side surfaces is provided. Therefore, the corners of the case members can be prevented from bending or deforming, and the mechanical strength of the main surface can be improved. Therefore, the shock resistance can be improved, and the thickness of the case members can be reduced in order to reduce the size and weight of the device.