Abstract: A method for evaluating data to be used to train an object recognition model is to be implemented by a computing device. The computing device stores a plurality of training datasets respectively related to a plurality of images, and each training dataset includes a plurality of entries of training data. The method includes steps of: obtaining, for each image, at least one target area and at least one target property that are related to the image based on the entries of training data; creating, for each image, a training material that includes the image, and the at least one target area and the at least one target property both related to the image; and obtaining at least three object recognition models based on the training materials that are created respectively for the images using at least one machine learning algorithm.

Abstract: A method for updating a public key is provided. The method includes: acquiring, by a transmitting-end device, a first hash value calculated based on a first current public key; generating a first update public key and a first update private key; generating an update string such that a hash value of a hash function calculated based at least on the first update public key and the update string is equal to the first hash value; calculating, by a receiving-end device, a second hash value based at least on the first update public key and the update string according to the hash function; and verifying the first update public key by comparing the first hash value and the second hash value.

Abstract: A method for updating a public key is provided. The method includes: acquiring, by a transmitting-end device, a first hash value calculated based on a first current public key; generating a first update public key and a first update private key; generating an update string such that a hash value of a hash function calculated based at least on the first update public key and the update string is equal to the first hash value; calculating, by a receiving-end device, a second hash value based at least on the first update public key and the update string according to the hash function; and verifying the first update public key by comparing the first hash value and the second hash value.

Abstract: A touching display panel and a display device using the same are provided. The touching display panel includes a liquid crystal layer, a first substrate having a hard surface structure, a second substrate, a touch sensor layer, a thin-film transistor layer, and a color filter layer. The first and second substrates are respectively disposed at two sides of the liquid crystal layer. The touch sensor layer is disposed between the first substrate and the liquid crystal layer, and is formed on the first substrate. The thin-film transistor layer and the color filter layer are both disposed between the first substrate and the second substrate. At least one of the thin-film transistor layer and the color filter layer is formed on the first substrate.

Abstract: An authentication method of a server device and at least one client device with limited computational capability includes randomly generating an initial codeword using the client device. The initial codeword is generated from a linear combination of at least one base. The base is assigned to the client device and selected from a generator matrix that is stored in the server device and that corresponds to a linear code. The authentication method further includes generating an adapted codeword from the initial codeword using the client device. The authentication method also includes transmitting a transmission group to the server device using the client device. The transmission group includes an authentication data that includes the adapted codeword. In addition, the authentication method includes authenticating the client device using the server device and the transmission group received by the server device.