A security device for an item of merchandise is provided. The security device includes a non-programmable locking mechanism comprising a mechanical lock and a programmable locking mechanism comprising a monitoring circuit operatively coupled to an alarm. The security device is configured to secure an item of merchandise from theft or removal when the mechanical lock is locked and to be separated from the item of merchandise when the mechanical lock is unlocked. The alarm is configured to provide an alarm signal if the security device is separated from the item of merchandise while the monitoring circuit is armed.

A sensor system for monitoring an object, including at least one first part and one second part, of which one is a sensor module having at least one sensor, and at least one fastener to fasten the first part to the object to be monitored, wherein the first part and the second part are designed to establish a releasable connection between the second part and the first part and wherein one of the parts is equipped with a signaling device, which is designed to detect a release of the connection between the second part and the first part and to produce a signal triggered thereby, wherein the fastening of the first part to the object cannot be released nondestructively in a state in which the connection between the second part and the first part exists.

Provided are embodiments for a system for validating a smoke detection layout, where the system includes a memory and a processor. The processor is configured to receive one or more inputs, model transport and dispersion of smoke to a smoke detector of an environment based on the one or more inputs, wherein the model is based on computational fluid dynamics (CFD) function, and select a subset of input parameters from the one or more inputs to test. The processor is also configured to test the smoke detection system layout using the selected subset of input parameters, determine an alarm time probability using uncertainty quantifications for the selected subset of input parameters, and provide the alarm time probability and confidence level for the selected subset parameters. Also provided are embodiments for a method to validate a smoke detection system layout.

A method of locating a short circuit in a system including a set of components electrically connected in a loop, such as a fire protection system. It is iteratively determined in which location of a set of possible locations a short circuit is located. Each iteration involves determining in which of two subsets of a set of remaining locations the short circuit is located, and eliminating from the set of remaining locations the subset in which the short circuit is determined not to be located.

A control panel is used to monitor events within a security system or other automation system. In the event an intruder enters a physical location, the intruder may attempt to damage the control panel to disrupt its operation. One or more sensors of the control panel may detect disruption in the operation of the control panel. Example sensors may detect an impact force, sudden acceleration, removal from a mounted location, or disruption of communication with an input/output element, such as a display device. When an event is detected at the control panel itself, the control panel can send a signal to a remote service provider, and the remote service provider can follow-up with the customer. The control panel and/or remote service provider may also determine when the control panel loses partial or complete power loss to identify the disruption as a potential crash-and-smash entry.

The system and method provide for the monitoring and trending the rate at which fire detection devices get dirty. This information is used to determine which devices are clogged or getting clogged and to establish that the chambers are open to air flow because they are accumulating dirt over time. Air flow through the detection chamber is proven using this analysis. Further self-testing is also employed for the fire detection devices by including modules that simulate the smoke interference with the light. This can be accomplished in two ways. In one example, light from the chamber light source can be reflected toward the scattered light photodetector to simulate alarm conditions. In another example, an additional chamber light source can be added to the detection chamber that can generate light to simulate alarm conditions.

The lighting coordinator of an information handling system may associate quantitative values of a state parameter that describes a state of operation of a component of the information handling system with lighting effects. The lighting effect associated with a quantitative value may be indicative of a range of the quantitative value. The lighting coordinator may receive a signal indicative of a quantitative value of the state parameter and may transmit control signals to generate the lighting effect associated with the quantitative value of the state parameter. The lighting coordinator may receive user input to configure the association of quantitative values of the state parameter with the lighting effects. The lighting coordinator may also represent an attribute of a character or other aspect of a video game by another lighting effect. The components may include a CPU and GPU.

The optical fiber sensing method according to the present disclosure includes: sensing optical fibers being redundantly laid (10A1, 10A2); an execution unit (22) that executes sensing with the sensing optical fibers (10A1, 10A2); a detection unit (23) that detects occurrence of a fault in the sensing optical fiber (10A1) of an active system among the sensing optical fibers (10A1, 10A2); and a switching unit (21) that performs switching in such a way that the execution unit (22) executes sensing with the sensing optical fiber (10A2) of a standby system among the sensing optical fibers (10A1, 10A2) when the detection unit (23) detects occurrence of a fault.

Disclosed is a multitarget constant false alarm rate detection method based on the signal proxy, which belongs to the technical field of radar constant false alarm rate detection. The method realizes target detection by utilizing the correlation between linear measurements of the radar intermediate frequency signal and the sensing matrix. To achieve a desired false alarm rate, the method determines the threshold by estimating the distributed parameters of the reduced sample set obtained by removing the detected targets from the original sample set. The method provided by the present disclosure can adapt to the sparsity of the signals, realize target detection without relying on the pre-estimated environmental background level, and effectively mitigate the multitarget shadowing effect.

Disclosed is a multitarget constant false alarm rate detection method based on the signal proxy, which belongs to the technical field of radar constant false alarm rate detection. The method realizes target detection by utilizing the correlation between linear measurements of the radar intermediate frequency signal and the sensing matrix. To achieve a desired false alarm rate, the method determines the threshold by estimating the distributed parameters of the reduced sample set obtained by removing the detected targets from the original sample set. The method provided by the present disclosure can adapt to the sparsity of the signals, realize target detection without relying on the pre-estimated environmental background level, and effectively mitigate the multitarget shadowing effect.