Abstract: An example operation may include one or more of identifying pending blockchain transactions in a transaction queue, determining states of the pending blockchain transactions, determining whether the pending blockchain transactions in the transaction queue are valid based on the determined states, retrieving a list of potential blockchain transaction conflicts associated with the pending blockchain transactions, and determining whether any conflicts exist for one or more of the pending blockchain transactions based on the list of blockchain transaction conflicts.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties. One example may comprise one or more of creating one or more control commands configured to control one or more smart devices, signing the one or more control commands via a key maintained by an entity creating the control commands, broadcasting the one or more control commands to the one or more smart devices, and storing the one or more control commands in a blockchain.

Abstract: Machine logic (for example, software) for protecting sensitive and confidential user data and sending the protected user data to an authorized third party for predictive analytics purposes. The machine logic rules perform linear transformation operations on the sensitive and confidential user data in order to obscure the underlying data before it is sent to an authorized third party for performing predictive analysis of the underlying data. After performing predictive analysis on the obscured data by the authorized third party, the owner of the sensitive and confidential data takes a consequential action (that is, the owner of the data makes a business-related decision) based on the prediction.

Abstract: A historical scenario and historical decisions made in the historical scenario are received. The historical decisions represent a set of decision variables of an objective function. A random set of decision variables having different values than the set of decision variables are generated. To determine a weight setting associated with multiple objectives of the objective function, a number of inequalities are built and solved with an assumption that, for an optimization that minimizes the objective function, the objective function having the set of random decision variables has a larger value than the objective function having the set of decision variables. The receiving, the generating and the building steps may be repeated to determine multiple sets of weight settings. The multiple sets of weight settings are searched to select a target weight setting for each of the multiple objectives. The target weight setting may be automatically and continuously learned.

Abstract: A computer-implemented data transmission method and system are provided. A first transformed password (PWD) is acquired from the first node, wherein the first transformed PWD is derived from an original PWD. An encrypted message is acquired from the first node, the encrypted message being encrypted with a public key of the first node. A private key of the first node is recovered according to the first transformed PWD, the private key having been encrypted with the first transformed PWD and stored in the second node in advance. The encrypted message is decrypted with the recovered private key to obtain a decrypted message for processing.

Abstract: An example operation may include one or more of identifying pending blockchain transactions in a transaction queue, determining states of the pending blockchain transactions, determining whether the pending blockchain transactions in the transaction queue are valid based on the determined states, retrieving a list of potential blockchain transaction conflicts associated with the pending blockchain transactions, and determining whether any conflicts exist for one or more of the pending blockchain transactions based on the list of blockchain transaction conflicts.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties. One example may comprise one or more of creating one or more control commands configured to control one or more smart devices, signing the one or more control commands via a key maintained by an entity creating the control commands, broadcasting the one or more control commands to the one or more smart devices, and storing the one or more control commands in a blockchain.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties. One example may comprise one or more of creating one or more control commands configured to control one or more smart devices, signing the one or more control commands via a key maintained by an entity creating the control commands, broadcasting the one or more control commands to the one or more smart devices, and storing the one or more control commands in a blockchain.

Abstract: A mechanism is provided for matching an address to an optimal station for package delivery. Responsive to the at least one keyword k appearing in a substring of an address addr associated with a package to be delivered appearing in a keyword to station probability matrix associated with a city and/or district associated with the address addr associated with the package, for a set of keywords k in the substring of the address addr and station s of the city and/or district, a determination is made of a priority value function v that represents the priority of the combination of keyword k and station s. A critical keyword k* and optimal station s* is identified and the optimal station s* with a maximum determined value for delivery of the package is reported.

Abstract: Machine logic (for example, software) for protecting sensitive and confidential user data and sending the protected user data to an authorized third party for predictive analytics purposes. The machine logic rules perform linear transformation operations on the sensitive and confidential user data in order to obscure the underlying data before it is sent to an authorized third party for performing predictive analysis of the underlying data. After performing predictive analysis on the obscured data by the authorized third party, the owner of the sensitive and confidential data takes a consequential action (that is, the owner of the data makes a business-related decision) based on the prediction.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties. One example may comprise one or more of creating one or more control commands configured to control one or more smart devices, signing the one or more control commands via a key maintained by an entity creating the control commands, broadcasting the one or more control commands to the one or more smart devices, and storing the one or more control commands in a blockchain.

Abstract: A computer-implemented data transmission method and system are provided. A first transformed password (PWD) is acquired from the first node, wherein the first transformed PWD is derived from an original PWD. An encrypted message is acquired from the first node, the encrypted message being encrypted with a public key of the first node. A private key of the first node is recovered according to the first transformed PWD, the private key having been encrypted with the first transformed PWD and stored in the second node in advance. The encrypted message is decrypted with the recovered private key to obtain a decrypted message for processing.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties. One example may comprise one or more of creating one or more control commands configured to control one or more smart devices, signing the one or more control commands via a key maintained by an entity creating the control commands, broadcasting the one or more control commands to the one or more smart devices, and storing the one or more control commands in a blockchain.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties for ledger verification and information retrieval. One example may include one or more of identifying a potential transaction during a transaction commitment procedure, retrieving committed transactions associated with an account, determining a priority associated with the potential transaction, determining a priority of data associated with the committed transactions, comparing the priority associated with the potential transaction with the priority of data associated with the committed transactions, and determining whether to commit the potential transaction in a blockchain or reject the potential transaction.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties.

Abstract: A historical scenario and historical decisions made in the historical scenario are received. The historical decisions represent a set of decision variables of an objective function. A random set of decision variables having different values than the set of decision variables are generated. To determine a weight setting associated with multiple objectives of the objective function, a number of inequalities are built and solved with an assumption that, for an optimization that minimizes the objective function, the objective function having the set of random decision variables has a larger value than the objective function having the set of decision variables. The receiving, the generating and the building steps may be repeated to determine multiple sets of weight settings. The multiple sets of weight settings are searched to select a target weight setting for each of the multiple objectives. The target weight setting may be automatically and continuously learned.

Abstract: A mechanism is provided for matching an address to an optimal station for package delivery. Responsive to the at least one keyword k appearing in a substring of an address addr associated with a package to be delivered appearing in a keyword to station probability matrix associated with a city and/or district associated with the address addr associated with the package, for a set of keywords k in the substring of the address addr and stations of the city and/or district, a determination is made of a priority value function v that represents the priority of the combination of keyword k and station s. A critical keyword k* and optimal station s* is identified and the optimal station s* with a maximum determined value for delivery of the package is reported.

Abstract: A light leakage testing method for a display device involves obtaining a brightness value of each pixel of a display device to be tested, and then dividing the display device into a plurality of testing points, each testing point comprising a plurality of adjacent pixels defining the testing points located on a centre of the display device as a reference area and the testing points surrounding the reference area as a plurality of testing areas.

Abstract: To interface a video/graphic controller, which produces conventional, ana video output signals, suitable mostly for CRT type displays, to a matrix display, one of the video output signals, for example the horizontal sync signal, is encoded with the clock frequency and phase information used in generating the original video output signals. The encoded information is decoded at the display end, by extracting from it the clock information and synthesizing a clock signal which has the identical frequency and phase as the original clock used at the video/graphic controller. The replicated clock signal is used as a clock input to the matrix display, to assure that the video output signals are displayed at the correct pixel locations of the matrix display, preventing picture jitter and/or loss of video/graphics data.