Efficiently managing rush hours and minimizing waiting times in corporate cafeterias is crucial for enhancing employee satisfaction and productivity. "GO no queue rushestimator," aimed at predicting and mitigating rush-hour queues in corporate cafeterias, thereby optimizing the overall dining experience. The proposed rush-estimator leverages advanced data analytics and real-time monitoring techniques to anticipate peak dining periods accurately. Such as employee arrival patterns, transaction times, and menu popularity, the system forecasts potential rush hours and predicts the expected length of queues during these periods. This predictive capability empowers cafeteria managers to proactively allocate resources, streamline operations, and offer innovative solutions to reduce waiting times. The GO no queue rush-estimator goes beyond mere prediction by incorporating a queue management component. When the rush-hour prediction exceeds a predefined threshold, the system triggers proactive measures to ensure a smooth flow of employees through the cafeteria. These measures may include pre-ordering options, personalized meal recommendations, intelligent queue routing, or staggered break times to distribute demand more evenly. To assess the effectiveness of the rush-estimator, a pilot implementation was conducted in a corporate setting. The results demonstrated significant reductions in average queue lengths and waiting times during predicted rush hours, leading to a more seamless and enjoyable dining experience for employees Moreover, feedback from employees indicated a higher satisfaction level and improved perception of cafeteria services. The GO no queue rush-estimator offers a practical and scalable solution for corporate cafeterias to optimize resource allocation, reduce waiting times, and enhance overall employee satisfaction.
Resilience to electromagnetic jamming and its avo idance are difficult problems. It is often both har d to distinguish malicious jamming from congestion in th e broadcast regime and a challenge to conceal the a ctivity patterns of the legitimate communication protocol f rom the jammer. In the context of energy-constraine d wireless sensor networks, nodes are scheduled to maximize the common sleep duration and coordinate communication to extend their battery life. This results in well-def ined communication patterns with possibly predictab le intervals of activity that are easily detected and jammed by a s tatistical jammer. We present an anti-jamming proto col for sensor networks which eliminates spatio-temporal patterns of communication while maintaining coordinated and contention-free communication across the network. Our protocol, WisperNet, is time-synchronized and us es coordinated temporal randomization for slot schedul es and slot durations at the link layer and adapts routes to avoid jammers in the network layer. Through analysis, sim ulation and experimentation we demonstrate that WisperNet reduces the efficiency of any statistical jammer to that of a random jammer, which has the lowest cens orship-to-link utilization ratio. WisperNet has been implemented o n the FireFly senor network platform.
In wireless sensor networks, the number of sensor nodes has direct relation to the cost of total wireless sensor networks, and at the same time, the problem is closely connected to wireless sensor networks' performance, such as robust, fault-tolerance, and furthermore, it is considered at first as wireless sensor networks are designed. Therefore, the research on the number of sensor nodes has significant meanings of theory and practice to design of wireless sensor networks. By computation and analysis, the sensor deployments in the form of equilateral triangle, as a rule, are better than those in the form of square, and the efficient coverage area ratios decrease with increasing number of sensor nodes. Sometime information is incompletely monitored or undetected. This is coverage and connectivity problems. The coverage problem is also one of basic problem in wireless sensor networks. The paper analyzes several sensor deployments and computes their efficient coverage areas and their efficient coverage area ratios. In addition, the relation between the number of sensors and efficient coverage area ratio is discussed.
A system that transmits the information in public places like railway stations through a wireless medium using high frequency signals. A proposed system evolves an information signal is broadcast by the transmitter device with the help of high frequency signals and antennas at certain frequency. The signal covers a region that depends upon the station’s area availability and it can be varied according to the need of the range of railway junctions.
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