فهرست مطالب zhi zhou

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.

Wearable technology, wearables, fashion technology, smart wear, skin electronics, or fashion electronics are smart electronic devices. Wearable technology has various applications that grow as the field expands. It appears prominently in consumer electronics with the popularization of the smartwatch and activity tracker. A popular activity tracker called the fit bit is widely used in the fitness industry to track calories and health-related goals. A popular smartwatch in the market is the Apple Watch. Apart from commercial uses, wearable technology is incorporated into navigation systems, advanced textiles, and healthcare. As wearable technology is being proposed for critical applications, it must be vetted for its reliability and security properties. Applications based on Wireless Sensor Networks (WSN) for Internet of Things (IoTs) scenarios are rising. The multiple possibilities they offer have spread towards previously hard-to-imagine fields, like e-health or human physiological monitoring. An application has been developed for its usage in scenarios where data collection is applied to smart spaces, aiming at its usage in firefighting and sports. This application has been tested in a gymnasium with real, non-simulated nodes and devices. A graphic user interface has been implemented to suggest a series of exercises to improve a sportsman/woman s condition, depending on the context and their profile. This system can be adapted to a wide variety of e-health applications with minimum changes, and the user will interact using different devices, like smartphones, smartwatches, and/or tablets.

In India, agriculture plays an important role in providing various goods such as vegetables, fruits, grains, etc. Farmers have been producing crops in the fields day and night. For producing these products. Now days, the production of the crops in the yields are reducing year by year. This is mainly due to industrialization effects, and using of harmful pesticides and chemicals, lack of water and insufficient water system in the fields, etc. are several factors on the less production of the yields in agriculture. So, our plan is to implement the Wireless Sensor Networks (WSNs) technology which plays an important role in the Smart Agriculture. The main aim of the article is about importance of WSNs in agriculture. The end of the relinquishment of WSNs in PA is to measure the different environmental parameters similar as moisture, temperature, soil humidity, PH value of soil etc., for enhancing the volume and quality of crops. Further, the WSNs are also helped to reduce the consumptions of the natural coffee is used in husbandry. As we have already mentioned about the Smart Agriculture and WSN, in this article we have to know about how the WSN is used and related important role in Smart Agriculture and various technologies used,what are the difficulties and challenges has to face while using these technologies, various factors played on the Smart Agriculture has been discussed in future.

This study aimed to investigate the function of transient receptor potential vanilloid 1 (TRPV1) in regulating periodontal lesions. In addition, we explored the underlying mechanism of the phosphatidylinositol 3-kinase/protein kinase B (PI3K/AKT) pathway.

Lipopolysaccharide (LPS) stimulation of human periodontal ligament cells (HPDLCs) was used to construct a periodontitis cell model, and experimental periodontitis (EP) rats were established by ligation. The mechanism by which TRPV1 regulates periodontitis was further verified by injecting the TRPV1 agonist capsaicin (CPS) and antagonist capsazepine (CPZ) into the gingiva of rats; the alveolar bone losses in each group were measured by stereomicroscopy. Real-time quantitative polymerase chain reaction (qRT-PCR) and Western blotting (WB) were used to research the expression of TRPV1 and proinflammatory cytokines, and WB was performed to test the phosphorylation of PI3K and AKT.

In vitro experiments showed that LPS induced the upregulation of TRPV1 and proinflammatory cytokines and promoted the phosphorylation of PI3K and AKT proteins in HPDLCs, which was consistent with their expression in the rat periodontitis model. Moreover, in vivo studies indicated that CPZ had anti-inflammatory effects through the PI3K/AKT pathway and inhibited bone loss induced by periodontal ligation in rats, while CPS had the opposite effect.

TRPV1 was involved in the process of alveolar bone defects and the inflammatory response in rats with periodontitis induced by ligation. Its mechanism might be related to the phosphorylation of related proteins in the PI3K/AKT signaling pathway.

Developing the scale and increasing the data set, make the reliability and availability principal affairs to access process and data achievement. In addition, we face the challenges of handling big data in terms of storage and management. This paper provides the important issues related to the massive storage systems, distributed storage systems, and big data storage mechanisms. Then we present some analysis models utilizing in big data and describe structure of them in details.

Every year, millions of dollars are lost due to fraudulent credit card transactions. To help fraud investigators, more algorithms are turning to powerful machine learning methodologies. Designing fraud detection algorithms is particularly difficult because to the non-stationary distribution of data, excessively skewed class distributions, and continuous streams of transactions. At the same time, due to confidentiality considerations, public data is uncommon, leaving many questions unanswered about the best technique for dealing with them. We present some replies from the practitioners in this publication. Un balanced ness, non- stationarity and assessment. Our industrial partner provided us with an actual credit card dataset, which we used to do the analysis. In this project, we attempt to develop and evaluate a model for the imbalanced credit card fraud dataset.