Abstract: A sonic generator for use with timing and data collection systems is a button activated device operated by a referee during a live sporting event. It can be hand-held or integrated with a referee's belt pack and replaces a conventional exhalation-powered whistle. It can be configured to record and replay a custom sonic signal, a sonic signal selected from a database of pre-recorded sounds, or a standard sonic signal such as a generic whistle sound. Each sonic generator generates a unique sonic signal which is compared to digitally stored sonic fingerprints at a given sporting event to identify a match, and starts or stops the game clock in response to that match. This prevents inadvertent game clock starts and stops resulting from ambient noise. The sonic generator can be configured as a two-way voice communication system to allow referees to communicate with other game officials.

Abstract: Forming features in the surface of a bicycle component involves depositing a substance onto a substrate in a geometric pattern to form a transfer medium. Forming features may also involve positioning the transfer medium relative to an unformed bicycle component, and forming a negative of the geometric pattern in the bicycle component through the application of heat and/or pressure to the transfer medium and the unformed bicycle component. The transfer medium may be configured for use in the molding of carbon fiber reinforced plastic (“CFRP”) bicycle components and may include a substrate formed of a flexible material, and a geometric pattern formed of a hard material, the hard material different than the flexible material.

Abstract: Methods, systems, and devices supporting active fingerprinting for transport layer security (TLS) servers are described. In some systems, a client device may transmit a same set of client hello messages to each TLS server. The client device may receive a set of server hello messages in response to the standard set of client hello messages based on the contents of each client hello message. For example, a server hello message may indicate a selected cipher suite, TLS protocol version, and set of extensions in response to the specific information included in a client hello message. The client device may generate a hash value (e.g., a fuzzy hash) based on the set of server hello messages received from a TLS server. By comparing the hash values generated for different TLS servers, the client device may determine whether the TLS configurations for the different TLS servers are the same or different.

Abstract: Curable compounds, hydrogels, build materials, and methods of 3D printing are described herein. In some embodiments, a build material for 3D printing described herein comprises one or more compounds having the structure(s) of Formula (I) and/or Formula (II) herein. Such a build material may also comprise an additional acrylate component and water.

Abstract: In one aspect, build materials for use with a three-dimensional (3D) printing system are described herein. In some embodiments, a build material described herein comprises an acrylate component, a photoinitiator component, a non-curable absorber component, and water. The photoinitiator component of the build material is operable to initiate curing of the acrylate component and/or other curable materials that may optionally be present when the photoinitiator is exposed to incident curing radiation having a Gaussian distribution of wavelengths and a peak wavelength ?. The build material has a penetration depth (Dp) and a critical energy (Ec) at the wavelength ?. In some embodiments, the Dp is greater than 200 ?m and less than 300 ?m, and the Ec is 3-12 mJ/cm2. In other embodiments, the Dp is greater than 10 ?m and less than 50 ?m, and the Ec is 5-40 mJ/cm2.

Abstract: The present disclosure provides an engineered microorganism capable of producing malonic acid, malonate, esters of malonic acid, or mixtures thereof. The engineered microorganism includes a malonate-semialdehyde dehydrogenase that is heterologous to a native form of the engineered microorganism and comprises at least 90% sequence identity to any one of SEQ ID Nos: 7, 9, 11, 13, 15, 17, 19, 21, 23, 27, 29, and 31, wherein the engineered microorganism is capable of producing about 9 g/L to about 250 g/L of malonic acid, malonate, esters of malonic acid, or mixtures thereof.

Abstract: Techniques for data pattern analysis using deterministic finite automaton are described herein. In one embodiment, a number of transitions from a current node to one or more subsequent nodes representing one or more sequences of data patterns is determined, where each of the current node and subsequent nodes is associated with a deterministic finite automaton (DFA) state. A data structure is dynamically allocated for each of the subsequent nodes for storing information associated with each of the subsequent nodes, where data structures for the subsequent nodes are allocated in an array maintained by a data structure corresponding to the current node if the number of transitions is greater than a predetermined threshold. Other methods and apparatuses are also described.

Abstract: Autonomous mobile robots include transfer systems that may receive multiple items for delivery to one or more destinations. The transfer systems may be specifically configured to detect and identify items that are placed on loading surfaces, and to independently discharge specific items at selected destinations or to selected recipients. The transfer systems feature loading surfaces that may be defined by a plurality of independently operable conveyors to receive or discharge items, by independently operable floors that allow items to pass therethrough, or by independently operable diverters for detecting and expelling items therefrom. The transfer systems may receive items from, or discharge items to, one or more humans, other robots, or other systems such as conveyors, chutes, robotic arms or other mechanical implements or effectors, and be aligned at any angle or provided at any height, as desired.

Abstract: Methods, systems, and devices supporting active fingerprinting for transport layer security (TLS) servers are described. In some systems, a client device may transmit a same set of client hello messages to each TLS server. The client device may receive a set of server hello messages in response to the standard set of client hello messages based on the contents of each client hello message. For example, a server hello message may indicate a selected cipher suite, TLS protocol version, and set of extensions in response to the specific information included in a client hello message. The client device may generate a hash value (e.g., a fuzzy hash) based on the set of server hello messages received from a TLS server. By comparing the hash values generated for different TLS servers, the client device may determine whether the TLS configurations for the different TLS servers are the same or different.

Abstract: Techniques for data pattern analysis using deterministic finite automaton are described herein. In one embodiment, a number of transitions from a current node to one or more subsequent nodes representing one or more sequences of data patterns is determined, where each of the current node and subsequent nodes is associated with a deterministic finite automaton (DFA) state. A data structure is dynamically allocated for each of the subsequent nodes for storing information associated with each of the subsequent nodes, where data structures for the subsequent nodes are allocated in an array maintained by a data structure corresponding to the current node if the number of transitions is greater than a predetermined threshold. Other methods and apparatuses are also described.

Abstract: Methods, systems, and devices supporting active fingerprinting for transport layer security (TLS) servers are described. In some systems, a client device may transmit a same set of client hello messages to each TLS server. The client device may receive a set of server hello messages in response to the standard set of client hello messages based on the contents of each client hello message. For example, a server hello message may indicate a selected cipher suite, TLS protocol version, and set of extensions in response to the specific information included in a client hello message. The client device may generate a hash value (e.g., a fuzzy hash) based on the set of server hello messages received from a TLS server. By comparing the hash values generated for different TLS servers, the client device may determine whether the TLS configurations for the different TLS servers are the same or different.

Abstract: The present disclosure is directed to a network of autonomous vehicles, such as autonomous ground vehicles (“AGVs”) that deliver items to and/or from a destination location and/or perform a service. For example, a community (e.g., neighborhood, apartment complex) may include a plurality of autonomous vehicles that deliver payloads to different locations (e.g., homes, apartments) within the community for use or consumption. Some of the payloads are community items (e.g., microwave, stove top, cooking utensils) that are shared by members of the community and transferred between locations within the community by autonomous vehicles.

Abstract: Methods, systems, and devices supporting active fingerprinting for transport layer security (TLS) servers are described. In some systems, a client device may transmit a same set of client hello messages to each TLS server. The client device may receive a set of server hello messages in response to the standard set of client hello messages based on the contents of each client hello message. For example, a server hello message may indicate a selected cipher suite, TLS protocol version, and set of extensions in response to the specific information included in a client hello message. The client device may generate a hash value (e.g., a fuzzy hash) based on the set of server hello messages received from a TLS server. By comparing the hash values generated for different TLS servers, the client device may determine whether the TLS configurations for the different TLS servers are the same or different.

Abstract: An intermediary device may be configured to allow an authorized visitor to access a secure facility (such as a home) on behalf of an owner. The intermediary device may generate an authenticator and provide the authenticator to a service provider, who may then present the authenticator to the intermediary device upon arriving at the facility. The intermediary device may unlock or open, or lock and close, any doors within the facility as necessary in order to grant access to a specific portion of the facility and restrict access to other portions of the facility. The intermediary device may also capture, or cause the capture of, images or other data regarding actions taken by the service provider, and establish a communications channel with the owner for the exchange of information or data regarding such actions, or any events or conditions of the facility.

Abstract: Autonomous vehicles may be deployed to areas where an item is in demand, and configured to fulfill orders for the item received from the areas. The autonomous vehicles are loaded with the item and dispatched to the area under their own power or in a carrier. When an order for the item is received, an autonomous vehicle delivers the item to a location in the area. Autonomous vehicles may also be equipped with a 3D printer or other equipment and loaded with materials for manufacturing the item. When an order for the item is received, the autonomous vehicle manufactures the item from such materials, and delivers the item. Autonomous vehicles may be configured for collaboration, such as to deliver or manufacture items in multiple stages and to transfer the items between vehicles. Autonomous vehicles may also be configured to automatically access locations in the area, e.g., using wireless access codes.

Abstract: Features are disclosed for an overpackage that can contain an object and provide for automated identification and handling of the object by a robotic retrieval system. The automated identification and handling are enabled through self-identifying marks on the overpackage that indicate the identity of the overpackage as well as the relative location of the mark on the overpackage. Using the location information, a robot or other autonomous actor of the robotic retrieval system can identify a path to a pick point and detect whether the proper pick point is engaged through additional identifiers on the overpackage or a pick point.

Abstract: A method of providing a quantitative volumetric assessment of organ health or a quantitative map of an organ. The method comprises obtaining a volumetric map of organ health comprising information defining a state of tissue health across at least part of an organ, receiving an input defining at least one organ section, determining an assessment organ volume based at least partly on the at least one defined organ section, calculating an organ-viability measure for the assessment organ volume based at least partly on information within the volumetric map defining the state of tissue health across the organ volume, and outputting an indication of the organ-viability measure.

Abstract: The disclosure describes techniques for forming nanoparticles including Fe16N2 phase. In some examples, the nanoparticles may be formed by first forming nanoparticles including iron, nitrogen, and at least one of carbon or boron. The carbon or boron may be incorporated into the nanoparticles such that the iron, nitrogen, and at least one of carbon or boron are mixed. Alternatively, the at least one of carbon or boron may be coated on a surface of a nanoparticle including iron and nitrogen. The nano particle including iron, nitrogen, and at least one of carbon or boron then may be annealed to form at least one phase domain including at least one of Fe16N2, Fe16(NB)2, Fe16(NC)2, or Fe16(NCB)2.

Abstract: Embodiments of the present invention provide a computer-implemented method of determining displacement information, comprising receiving (520) image data (485) comprising first pixel data (610) corresponding to movement of a scanning apparatus (130), with respect to at least one object, in a first direction and a second pixel data (620) corresponding to movement of the scanning apparatus (130) in a second direction, and determining (520) displacement information indicative of a displacement of at least a portion of the second pixel data (620) with respect to the first pixel data (610) by minimising a cost function indicative of a similarity between the first and second pixel data.

Abstract: Autonomous ground vehicles (“AGVs”) receive items from transportation vehicles (e.g., delivery trucks) for delivery to specified locations (e.g., user residences, etc.). The AGVs may travel along travel paths to and from the delivery locations to deliver the items, and may be equipped with access mechanisms (e.g., which transmit remote control signals) to open and close access barriers (e.g., garage doors, etc.) that are encountered along the travel paths. Transportation vehicles may transport items from materials handling facilities, and the AGVs may travel to meeting locations to meet the transportation vehicles to receive the items for delivery.