iman atighi

Ground vibration is one of the detrimental effects associated with blasting that can damage the surrounding environment and nearby structures. In the Gol-Gohar mine in Sirjan, due to the surface expansion, the distance between the structures and the blasting blocks has decreased, leading to vibrations reaching the processing plant complex. These vibrations, by triggering sensors installed on the mills, cause power outages in the circuit, thereby increasing production costs. One solution to mitigate the waves reaching the processing plant complex is to excavate trenches along the wave path. These trenches, by creating conditions like a free surface and reflecting the waves, reduce the transferred wave energy and can prevent unnecessary shutdowns of the concentration circuit due to increased vibration amplitudes. In this study, using the discrete element software UDEC, the results of a field blasting operation were first validated, and based on the validated model, the impact of trench excavation on the propagation of blast waves was analyzed. Ultimately, the optimal dimensions of the trench, which maximizes energy absorption, were determined. According to the numerical analysis results, the excavated trench on each side of the structure should be more than 2m longer and excavated at distances greater than 3m from the structure. Meanwhile, the thickness (width of the trench) had no significant effect on wave attenuation. This trench can reflect approximately 60% of the blast waves.

Forest fires represent a significant threat to natural ecosystems and human lives, necessitating early detection and rapid response for effective mitigation. In recent years, the Internet of Things (IoT) has emerged as a promising technology for forest fire detection. IoT-based solutions leverage Wireless Sensor Networks (WSNs), which consist of sensor nodes equipped with various sensors, data processing capabilities, and wireless communication, all powered by batteries. Energy efficiency is a critical consideration for WSNs, as they lack the luxury of periodic recharging. This paper explores the utilization of IoT-enabled WSNs in forest fire detection, with a specific focus on the sensor nodes' ability to monitor environmental parameters such as temperature, pressure, and humidity, as well as chemical indicators including Carbon Monoxide, Carbon Dioxide, and Nitrogen Dioxide. The self-healing and self-organizing characteristics of IoT sensor networks enhance their reliability and robustness in remote forested areas. ZigBee, based on IEEE 802.15.4, is a wireless technology that has gained prominence due to its low-cost, battery-powered applications and suitability for low data rates and short-range communications. This paper highlights the advancements, challenges, and potential applications of IoT-enabled WSNs for forest fire detection, underscoring the expanding possibilities enabled by the rapid development of the IoT. It emphasizes the growing research interest in IoT sensor networks and their potential deployment in various domains. The insights provided aim to contribute to ongoing efforts in developing efficient forest fire detection systems, ultimately enhancing the safety and preservation of our natural environment.

The current landscape of Cloud Computing predominantly relies on closed data centers, housing a multitude of dedicated servers that cater to cloud services. However, an immense number of underutilized Personal Computers (PCs) are owned by individuals and organizations globally. These dormant resources can be harnessed to form an alternative cloud infrastructure, offering a wide array of cloud services, particularly focusing on infrastructure as a service. This innovative strategy, the "no data center" approach, complements the conventional data center-centric cloud provisioning model. In a research paper, the authors introduce their opportunistic Cloud Computing framework called cuCloud, which effectively utilizes the idle resources of underutilized PCs within a given organization or community. The success of their system serves as tangible evidence that the "no data center" concept is indeed feasible. Beyond conceptualization and philosophy, the authors' experimental findings strongly validate their approach.