Abstract: A maritime radar system is provided, comprising a transmitter, a receiver, and one or more processors arranged to provide range and azimuth discrimination of a detection area by performing a delay/Doppler analysis of the echo of a single beam transmitted by the transmitter and received by the receiver.

Abstract: Systems and methods are provided for receiving input data to be processed by an encrypted neural network (NN) model, and encrypting the input data using a fully homomorphic encryption (FHE) public key associated with the encrypted NN model to generate encrypted input data. The systems and methods further provided for processing the encrypted input data to generate an encrypted inference output, using the encrypted NN model by, for each layer of a plurality of layers of the encrypted NN model, computing an encrypted weighted sum using encrypted parameters and a previous encrypted layer, the encrypted parameters comprising at least an encrypted weight and an encrypted bias, approximating an activation function for the level into a polynomial, and computing the approximated activation function on the encrypted weighted sum to generate an encrypted layer. The generated encrypted inference output is sent to a server system for decryption.

Abstract: A maritime radar system is provided, comprising a transmitter, a receiver, and one or more processors arranged to provide range and azimuth discrimination of a detection area by performing a delay/Doppler analysis of the echo of a single beam transmitted by the transmitter and received by the receiver.

Abstract: A nuclear power plant having a protective superstructure including a first end region configured to cover a nuclear reactor in a containment structure, a second end region opposite the first end region and configured to cover a cooling water pump house, and a central region between the first and second end regions and configured to cover a turbine hall. The superstructure has an oval-shaped plan profile, the oval having a greater degree of curvature at the first end region than at the second end region.

Abstract: A nuclear power plant having a protective superstructure including a first end region configured to cover a nuclear reactor in a containment structure, a second end region opposite the first end region and configured to cover a cooling water pump house, and a central region between the first and second end regions and configured to cover a turbine hall. The superstructure has an oval-shaped plan profile, the oval having a greater degree of curvature at the first end region than at the second end region.

Abstract: Systems and methods are provided for receiving input data to be processed by an encrypted neural network (NN) model, and encrypting the input data using a fully homomorphic encryption (FHE) public key associated with the encrypted NN model to generate encrypted input data. The systems and methods further provided for processing the encrypted input data to generate an encrypted inference output, using the encrypted NN model by, for each layer of a plurality of layers of the encrypted NN model, computing an encrypted weighted sum using encrypted parameters and a previous encrypted layer, the encrypted parameters comprising at least an encrypted weight and an encrypted bias, approximating an activation function for the level into a polynomial, and computing the approximated activation function on the encrypted weighted sum to generate an encrypted layer. The generated encrypted inference output is sent to a server system for decryption.

Abstract: Disclosed herein are system, method, and computer program product embodiments for mitigating offline decryption attacks of ciphertext. An embodiment operates by inputting plaintext into an encryptor, writing ciphertext output from the encryptor into memory, inputting the ciphertext from memory into a noise generator, outputting ciphertext from memory to an output device in response to receiving a first timing signal from a timer, and outputting noise data generated by the noise generator to the output device in response to receiving a second timing signal from the timer. The output device may be a node in a distributed ledger, in some embodiments. The distributed ledger may include a blockchain, for example. Using techniques disclosed herein, encryption may be strengthened to thwart attempts by untrusted third-party attackers to crack encryption, e.g.

Abstract: Lift-assist systems for adjustable objects are provided, which could include at least one of an enclosed spring and a substantially flat, elongated torsion spring. Suitable substantially flat springs could be configured to twist and untwist up to between 45-135 degrees when the seat or other object is adjusted between stowed and use configurations. In some preferred aspects, the spring could be made from a tempered steel material.

Abstract: A constant velocity joint boot assembly includes a boot that may be positioned around a constant velocity joint on a vehicle. The boot has a longitudinal cut. Thus, the boot may be selectively placed around the constant velocity joint when the constant velocity joint is mounted to the vehicle. A zipper is coupled to the boot. The zipper closes the boot around the constant velocity joint. The zipper extends beyond the first end of the boot and the second end of the boot to define a pair of free ends of the zipper. Each of the free ends of the zipper is rolled up when the zipper is closed. Thus, the zipper may resist being contaminated thereby enhancing functionally of the zipper over time.

Abstract: Embodiments are configured for automating security design in IoT systems. The achievable security level for any given IoT system may be assessed based on the capabilities of each of the entities involved in its data path to generate a set of security policies for the IoT system. The capabilities of each entity involved in the IoT data path can be evaluated together with the capabilities of the communication links between entities. Based on these capabilities and user security preferences, the security policies can be generated to achieve a target level security. Based on this approach, security designs of IoT architectures can be developed through automated information collection.