Abstract: Methods and systems for managing and/or processing a blockchain to maintain data security for confidential and/or personal data are provided. According to certain aspects, the disclosed data security techniques may enable access sharing functionality utilizing the blockchain. For example, access sharing may be utilized to file documents, share policy information, and/or comply with an audit. The data security techniques disclosed herein also enable the use of smart contracts to transfer funds associated with payment obligations and/or other forms of blockchain based payments, comply with anti-money laundering requirements, report industry data, validate interest payments and/or maintain agent sales data. Data security may be achieved through the use of public key/private key encryption techniques.

Abstract: Methods and systems for managing and/or processing a blockchain to maintain data security for confidential and/or personal data are provided. According to certain aspects, the disclosed data security techniques may enable access sharing functionality utilizing the blockchain. For example, access sharing may be utilized to share policy information. The policy information may be associated with a smart contract. Accordingly, the policy information may be encrypted using a public key for the smart contract and compiled into a block of the blockchain. In response to a request to provide access to the information to a particular node, the private key for the smart contract may be encrypted using the public key for the particular node and compiled into a block of the blockchain.

Abstract: Methods and systems for processing a blockchain comprising a plurality of immutable sales records corresponding to sales made by agents of an entity are provided. According to certain aspects, a transaction request indicating a sale made by an agent of the entity may be received at a first node. A block including a sales record indicating the sale made by the agent may be added to a blockchain and transmitted to another node for validation. The first node may add the block to a copy of the blockchain, where the block may be identified by a hash value that references a previous block in the blockchain that includes at least one additional sales record.

Abstract: Methods and systems for managing and/or processing a blockchain to maintain data security for confidential and/or personal data are provided. According to certain aspects, the disclosed data security techniques may enable access sharing functionality utilizing the blockchain. For example, access sharing may be utilized to file documents, share policy information, and/or comply with an audit. The data security techniques disclosed herein also enable the use of smart contracts to transfer funds associated with payment obligations and/or other forms of blockchain based payments, comply with anti-money laundering requirements, report industry data, validate interest payments and/or maintain agent sales data. Data security may be achieved through the use of public key/private key encryption techniques.

Abstract: Systems, apparatuses, methods, and computer program products for inspection of objects or items in a conveyance system. Presence (or absence) of an object/item or objects/items is detected sensed and also one or more characteristics of the object/item can be determined based image detection of characteristics of one or more laser lines projected on a conveyance surface of the conveyance system.

Abstract: Systems, apparatuses, methods, and computer program products for inspection of objects or items in a conveyance system. Presence (or absence) of an object/item or objects/items is detected sensed and also one or more characteristics of the object/item can be determined based image detection of characteristics of one or more laser lines projected on a conveyance surface of the conveyance system.

Abstract: A method of determining a mean for a data set of data element values. A form of a probability density function statistical distribution is selected for each data element of the data set, based on the value of that data element. Then a mean of the probability density function of each data element is estimated, by, e.g., a digital or analog processing technique. The estimated mean of each data element's probability density function is then designated as the mean for that data element. In a method of normalizing a data set of data element values based on estimated probability density function means of the data set, each data element value in the data set is processed based on the estimated mean of the probability density function of that data element to normalize each data element value, producing a normalized data set.