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Background: Monitoring the vital signs of delirious patients in an intensive care unit (ICU) is challenging, as they might (un-)intentionally remove devices attached to their bodies. In mock-up scenarios, we systematically assessed whether a motion detector (MD) attached to the bed may help in identifying emergencies. Methods: We recruited 15 employees of the ICU and equipped an ICU bed with an MD (IRON Software GmbH, Grünwald, Germany). Participants were asked to replay 22 mock-up scenes of one-minute duration each: 12 scenes with movements and 10 without movements, of which 5 were emergency scenes ("lying dead-still, with no or very shallow breathing"). Blinded recordings were presented to an evaluation panel consisting of an experienced ICU nurse and a physician, who was asked to assess and rate the presence of motions. Results: Fifteen participants (nine women; 173 ± 7.0 cm; 78 ± 19 kg) joined the study. In total, 286 out of 330 scenes (86.7%) were rated correctly. Ratings were false negative (FN: "no movements detected, but recorded") in 7 out of 180 motion scenes (3.9%). Ratings were false positive (FP: "movements detected, but not recorded") in 37 out of 150 scenes (24.7%), more often in men than women (26 out of 60 vs. 11 out of 90, respectively; p < 0.001). Of note, in 16 of these 37 FP-rated scenes, a vibrating mobile phone was identified as a potential confounder. The emergency scenes were correctly rated in 64 of the 75 runs (85.3%); 10 of the 11 FP-rated scenes occurred in male subjects. Conclusions: The MD allowed for identifying motions of test subjects with high sensitivity (96%) and acceptable specificity (75%). Accuracy might increase further if activities are recorded continuously under real-world conditions. [ABSTRACT FROM AUTHOR]

Background: Monitoring the vital signs of delirious patients in an intensive care unit (ICU) is challenging, as they might (un-)intentionally remove devices attached to their bodies. In mock-up scenarios, we systematically assessed whether a motion detector (MD) attached to the bed may help in identifying emergencies. Methods: We recruited 15 employees of the ICU and equipped an ICU bed with an MD (IRON Software GmbH, Grünwald, Germany). Participants were asked to replay 22 mock-up scenes of one-minute duration each: 12 scenes with movements and 10 without movements, of which 5 were emergency scenes (“lying dead-still, with no or very shallow breathing”). Blinded recordings were presented to an evaluation panel consisting of an experienced ICU nurse and a physician, who was asked to assess and rate the presence of motions. Results: Fifteen participants (nine women; 173 ± 7.0 cm; 78 ± 19 kg) joined the study. In total, 286 out of 330 scenes (86.7%) were rated correctly. Ratings were false negative (FN: “no movements detected, but recorded”) in 7 out of 180 motion scenes (3.9%). Ratings were false positive (FP: “movements detected, but not recorded”) in 37 out of 150 scenes (24.7%), more often in men than women (26 out of 60 vs. 11 out of 90, respectively; p < 0.001). Of note, in 16 of these 37 FP-rated scenes, a vibrating mobile phone was identified as a potential confounder. The emergency scenes were correctly rated in 64 of the 75 runs (85.3%); 10 of the 11 FP-rated scenes occurred in male subjects. Conclusions: The MD allowed for identifying motions of test subjects with high sensitivity (96%) and acceptable specificity (75%). Accuracy might increase further if activities are recorded continuously under real-world conditions.

The optic lobe of the fly is one of the prominent model systems for the neural mechanism of the motion detection. How a fly who lives under various visual situations of the nature processes the information from at most a few thousands of ommatidia in their neural circuit for the detection of moving objects is not exactly clear though many computational models of the fly optic lobe as a moving objects detector were suggested. Here we attempted to elucidate the mechanisms of ON-edge motion detection by a simulation approach based on the TEM connectome of Drosophila. Our simulation model of the optic lobe with the NEURON simulator that covers the full scale of ommatidia, reproduced the characteristics of the receptor neurons, lamina monopolar neurons, and T4 cells in the lobula. The contribution of each neuron can be estimated by changing synaptic connection strengths in the simulation and measuring the response to the motion stimulus. Those show the paradelle pathway provide motion detection in the fly optic lobe has more robustness and is more sophisticated than a simple combination of HR and BL systems. [ABSTRACT FROM AUTHOR]

Background. Lighting control systems in urban environments aim to improve the energy efficiency of lighting systems. The introduction of such technologies will significantly reduce energy costs in the urban environment. The aim of the study is to find and develop an optimal solution for controlling the illumination level of urban lighting devices, depending on the traffic activity of vehicles and the population. Materials and methods. To study intelligent urban lighting control systems, methods of analysis and synthesis of similar systems, and methods of modeling and visualization of the developed solution were used. Results and conclusions. An intelligent urban lighting system capable of adjusting the light intensity depending on traffic activity in the monitoring area has been investigated. The proposed system is considered as a tool for solving energy conservation problems and the basis for designing a smart city.

Employing inexact arithmetic circuits in error-resilient applications results in reduction of hardware-level metrics such as power consumption, delay and occupied area. These criteria are very important in portable applications because they are battery limited. Full Adder cell is as a building block of many arithmetic circuits. Therefore, it can influence the performance of the entire digital system. This paper presents a novel low-power and high-speed design of one-bit inexact full adder cell based on 32-nm (CNFET) technology for error resilient applications. This design technique can be utilized in various applications particularly in image processing. The presented design employs capacitive threshold logic (CTL) approach which significantly reduces the number of transistors. The peak signal-to-noise ratio (PSNR) is considered to evaluate accuracy of circuits at application level. Then extensive simulations regarding various power supplies, temperatures and loads at transistor level are performed to measure power consumption and propagation delay criteria. Moreover, some new metrics are introduced to trade-off between application and hardware level parameters. Comprehensive simulations demonstrate the supremacy of the proposed cell than others. [ABSTRACT FROM AUTHOR]

The article presents the development of an intelligent control system for LED lighting, applicable to autonomous electric lighting installations, outdoor lighting fixtures on posts to illuminate highways, roads, streets and surrounding areas. The system combines all local lighting systems in which the motion sensor and the LED luminaire are integrated into one network. Turning on the LED luminaire at reduced power is carried out automatically when the level of external natural light is less than a certain threshold value. In the case of appearance of an object moving along the motion sensors of neighboring local lighting systems, the speed and direction of movement of the object are determined. In accordance to the speed and direction of the object movement the number of local lighting systems is determined whose LED lamps should be switched on at a higher power and the appearance of the object at the next design point is predicted. The increase in the power of LED lamps is carried out smoothly when the object is approaching the corresponding local lighting system. Due to the dynamic control of the power of the LED luminaires, as moving objects appear in the coverage area of the intelligent lighting system, significant energy savings are achieved. Traffic safety conditions are increased, as the number of LED lamps operating with increased power is determined by the speed of the object, and its possible braking distance will be significantly less than the illuminated section of the roadway. Smooth changes in the power of LED lamps reduce the pressure on the driver of the vehicle. The choice of the motion sensor based on the autodyne radio blocking, which detects moving objects in a given sector of the controlled space, regardless of the time of day and weather conditions, is grounded.

The radio signals range of selected wireless components of security systems is defined by the area within which components can communicate properly. In practice, the range of communication between components is often insufficiently taken into account, which results in the system malfunction. There are cases where the radio signal range of wireless components was inadequate due to use in an environment constructed from non-transmitting materials.The installation of wireless systems requires the implementation of a testing methodology of radio-communication range and its continuous improvement. Currently, the procedures within EN 50 131-5-3 and EN 300 220-1 standards can be used to test the wireless components, but they do not target the range between wireless components. Dependability and functionality are the main attributes of electrical security systems and need to be verified by testing the range of wireless components.

This paper deals with the design and implementation of Raspberry Pi Secure Home Automation for mobile applications using mobile technology, which ensure that we are safe in our home, and related monitoring activities. Our new integration of the camera and motion detector is the key to our proposed Home Security solution. Raspberry Pi operates and controls remote sensing, live video sharing and recording, and handles tasks for potential replication on home hardware, such as turning on/off a TV or a microwave. Initially, when the activity is detected and Raspberry Pi alerts householders for possible interference, the cameras will automatically start recording. Raspberry Pi has two primary interaction parts: web applications running on the portable device browser, and server scripts running on the Raspberry Pi hardware element in the cloud. Due to its friendliness and ease of use, we have decided to include domestic security and home safety in a single program. For example, when an attacker enters a room, the PRI sensors detect the activity and trigger the monitor, and the camera captures photos of an individual interacting with a live video feed. Additional backup and email services are also provided for the customer, which provides better recovery facility for the user. [ABSTRACT FROM AUTHOR]

This paper presents a water intake monitoring system for animal agriculture that tracks individual animal watering behavior, water quality, and water consumption. The system is deployed in an outdoor environment to reach remote areas. The proposed system integrates motion detectors, cameras, water level sensors, flow meters, Radio-Frequency Identification (RFID) systems, and water temperature sensors. The data collection and control are performed using Arduino microcontrollers with custom-designed circuit boards. The data associated with each drinking event are water consumption, water temperature, drinking duration, animal identification, and pictures. The data and pictures are automatically stored on Secure Digital (SD) cards. The prototypes are deployed in a remote grazing site located in Tucumcari, New Mexico, USA. The system can be used to perform water consumption and watering behavior studies of both domestic animals and wild animals. The current system automatically records the drinking behavior of 29 cows in a two-week duration in the remote ranch.

ABSTRACT: Wearable and antibacterial porous devices are promising new multifunctional materials with a wide range of applications in wound dressing and human motion monitoring systems. The deposition of carbon nanotubes and polypyrrole coating on conventional elastomers (polyurethane) is a single‐step procedure that results in a low‐cost, highly conductive, and flexible piezoresistive material with pressure sensitivity of 0.09 kPa−1, Gauge Factor of −10.3, high stability in response to different mechanical efforts and reversible netlike microcracks formation under moderate stretching deformation. The resulting porous material provides direct detection of simple movements from human joints (knee, finger, and elbow) and intrinsic antibacterial activity against Staphylococcus aureus, Klebsiella pneumoniae, and Escherichia coli. © 2018 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2018, 56, 1063–1072 [ABSTRACT FROM AUTHOR]

The radio signals range of selected wireless components of security systems is defined by the area within which components can communicate properly. In practice, the range of communication between components is often insufficiently taken into account, which results in the system malfunction. There are cases where the radio signal range of wireless components was inadequate due to use in an environment constructed from non-transmitting materials. The installation of wireless systems requires the implementation of a testing methodology of radio-communication range and its continuous improvement. Currently, the procedures within EN 50 131-5-3 and EN 300 220-1 standards can be used to test the wireless components, but they do not target the range between wireless components. Dependability and functionality are the main attributes of electrical security systems and need to be verified by testing the range of wireless components. [ABSTRACT FROM AUTHOR]

In this paper, three novel low-power and high-speed 1-bit inexact Full Adder cell designs are presented based on current mode logic in 32 nm carbon nanotube field effect transistor technology for the first time. The circuit-level figures of merits, i.e. power, delay and power-delay product as well as application-level metric such as error distance, are considered to assess the efficiency of the proposed cells over their counterparts. The effect of voltage scaling and temperature variation on the proposed cells is studied using HSPICE tool. Moreover, using MATLAB tool, the peak signal to noise ratio of the proposed cells is evaluated in an image-processing application referred to as motion detector. Simulation results confirm the efficiency of the proposed cells. [ABSTRACT FROM AUTHOR]

This study aimed to examine motion detector with pir sensor,a commonly used sensor which detects objects or living creatures by the heat they emit. This kind of sensors are important when we aim to save energy and in fact, they are good to use almost in both everyday life and high technology. This sensor is bought together with a circuit we've designed.

This paper presents a novel inexact full adder based on carbon nanotube field-effect transistors (CNTFET) for approximate computations, which has soared in popularity especially for image processing applications. The proposed design generates the output carry without error. Therefore, the propagation of incorrect value to higher bit positions is avoided. It has the least relative error distance (Relative ED) compared to other approximate full adders reported in the literature. Practical simulations by using MATLAB demonstrate higher peak signal to noise ratio (PSNR) and image quality for motion detector image processing application. HSPICE simulations also confirm the efficiency of the proposed design. Moreover, area occupation is investigated by using electric tool. Power consumption, delay, area and ED are important evaluating factors in this subject. Comparisons are made by a comprehensive parameter (PDAEDP), based on which the new design has 23.8%, 41.5%, 70.5%, 78% and 83.6% higher performance than TGA1, TGA2, AXA1, AXA2 and AXA3, respectively. [ABSTRACT FROM AUTHOR]