The new communication network for an internet of everything based security/safety/general management/visitor's services for the Papal Basilica and Sacred Convent of Saint Francis in Assisi, Italy

© 2017 IEEE.The Papal Basilica and the Sacred Convent of St. Francis in Assisi, Italy together represent a unique and specific cultural heritage site where the mortal remains of St. Francis have been housed since 1230 AD. Millions of pilgrims and visitors from all over the world visit this site each year. In 2000 AD, together with other Franciscan sites in the surrounding area, it achieved UNESCO World Heritage status. Unique and complex cultural heritage sites, such as this, require a significant effort to ensure visitor security and safety. Along with such needs are cultural heritage preservation and protection as well as accessibility for visitors, with particular reference to visitors with disabilities, and for personnel normally present for site management, including the Friar's community. These aims can be achieved using integrated systems and innovative technologies, such as Internet of Everything (IoE) which can connect people, things (mobile terminals, smart sensors, devices, actuators; wearable devices; etc.), data/information/knowledge and particular processes. The purpose of this paper is to illustrate the methodology and show the results obtained from the study and the design of a new communication network for Internet of Everything based security/safety/general management and visitors' services of the Papal Basilica and Sacred Convent of Saint Francis in Assisi

Hodnocení jízdního pohodlí

Ride comfort is an important factor which focus on comfort of the driver and passengers. Measuring the comfort of the passenger depends on vibration and noise produced by various parts of the vehicle such as engine, tire contact with road pavement etc. The vibration produced by the road surface is measured using accelerometer sensor inside the smart phone and measured data is stored and processed to understand the comfort factor using Ride Comfort android application.Komfort neboli pohodlí jízdy je důležitým faktorem, který hodnotí pohodlí řidiče a cestujících. Měření komfortu cestujícího závisí na vibracích a hluku produkovaném různými částmi vozidla, jako je motor, kontakt pneumatik s vozovkou atd. Vibrace vytvářené vozovkou se měří pomocí akcelerometru uvnitř chytrého telefonu a naměřená data se ukládají a jsou dále zpracována pro hodnocení faktoru pohodlí jízdy pomocí aplikace Ride Comfort pro Android.352 - Katedra automatizační techniky a řízenívýborn

Environmental Remediation of Real Textile Dyeing Wastewater Under Visible Light and Inactivation of Pathogenic Bacteria Using ZnO/CuO Nano-Needles

Textile industries have an immense existence in a country\u27s economy. Large quantity of water is consumed by textile dyeing industries and produces volumes of wastewater. Treating these hazardous effluents to make them environmental friendly, using nanocatalysts is the best promising method. Metal oxide nanomaterials have emerged as an important tool for environmental remediation. Herein the hydrothermally synthesized ecofriendly and low-cost zinc oxide/copper oxide nanocomposites (ZnO/CuO NCs) with different proportions of binary oxides are evaluated for the applications of degrading organic pollutants and antibacterial activity. The influence of doping is also studied in structural, optical, morphological, photocatalytic, and antibacterial activities. The presence of CuO in NCs affirms the formation of ZnO/CuO NCs. Photodegradation of Congo Red (CR) and real textile dyeing wastewater (TDW) under visible light irradiation by 0.5 M ZnO:0.5 M CuO NCs reveal them to act as a perfect catalyst by tuning doping concentration of Cu in ZnO, with 1.9 × 10−3 and 5.4 × 10−3 M min−1 rate constant. Hybrid nanocomposite materials exhibit high antibacterial activity against Staphylococcus aureus and Escherichia coli with 5 and 6 mm inhibition zone. The experimental characteristics of NCs are explained by a combination of electronic band structure due to size effect and tuning metal oxide proportions in comparison to that of pure metal oxide

Detection of Interleukin-6 Protein Using Graphene Field-Effect Transistor

Universal platforms to analyze biomolecules using sensor devices can address critical diagnostic challenges. Sensor devices like electrical-based field-effect transistors play an essential role in sensing biomolecules by charge probing. Graphene-based devices are more suitable for these applications. It has been previously reported that Graphene Field-Effect Transistor (GFET) devices detect DNA hybridization, pH sensors, and protein molecules. Graphene became a promising material for electrical-based field-effect transistor devices in sensing biomarkers, including biomolecules and proteins. In the last decade, FET devices have detected biomolecules such as DNA molecules, pH, glucose, and protein. These studies have suggested that the reference electrode is placed externally and measures the transfer characteristics. However, the external probing method damages the samples, requiring safety measurements and a substantial amount of time. To control this problem, the graphene field-effect transistor (GFET) device is fabricated with an inbuilt gate that acts as a reference electrode to measure the biomolecules. Herein, the monolayer graphene is exfoliated, and the GFET is designed with an in-built gate to detect the Interleukin-6 (IL-6) protein. IL-6 is a multifunctional cytokine which plays a significant role in immune regulation and metabolism. Additionally, IL-6 subsidizes a variability of disease states, including many types of cancer development, and metastasis, progression, and increased levels of IL-6 are associated with a higher risk of cancer and can also serve as a prognostic marker for cancer. Here, the protein is desiccated on the GFET device and measured, and Dirac point shifting in the transfer characteristics systematically evaluates the device’s performance. Our work yielded a conductive and electrical response with the IL-6 protein. This graphene-based transducer with an inbuilt gate gives a promising platform to enable low-cost, compact, facile, real-time, and sensitive amperometric sensors to detect IL-6. Targeting this pathway may help develop treatments for several other symptoms, such as neuromyelitis optica, uveitis, and, more recently, COVID-19 pneumonia

Spectral investigations on the influence of silver nanoparticles on the fluorescence quenching of 1,4-dimethoxy-2,3-dibromomethylanthracene-9,10-dione

Silver nanoparticles (Ag NPs) of different sizes from 9 to 17 nm were synthesized by Creighton method and characterized using UV-vis spectroscopy and high resolution transmission electron microscopy (HRTEM). Fluorescence quenching of 1,4-dimethoxy-2,3-dibromomethylanthracene-9,10-dione (DMDBMAD) in methanol has been studied by fluorescence spectroscopy combined with UV-vis absorption spectroscopic techniques. It has been observed that the fluorescence intensity of DMDBMAD decrease with increase in the size of the Ag NPs. The quenching rate constant and association constant were determined using Stern-Volmer and Benesi-Hildebrand plots. The Stern-Volmer plot suggested that the quenching of DMDBMAD fluorescence by silver NPs was a dynamic process. The obtained value of the association constant infers that there is an association between DMDBMAD and the Ag NPs. Using Förster resonance energy transfer (FRET) theory, the distance between the donor (DMDBMAD) to acceptor (Ag NPs) and the critical energy transfer distance were obtained. Long range dipole-dipole interaction between the excited donor and ground state acceptor molecules is the dominant mechanism responsible for the energy transfer

Facile Synthesis of Hafnium Oxide Nanoparticle Decorated on Graphene Nanosheet and Its Photocatalytic Degradation of Organic Pollutants under UV-Light Irradiation

The HfO2 nanoparticles and the nanocomposites of HfO2-graphene (10, 30, and 50 wt%) were prepared via precipitation and simple mixing method. The XRD pattern confirmed the presence of monoclinic HfO2 and hexagonal graphene in the nanocomposite. Raman spectroscopy studies revealed the formation of HfO2-graphene nanocomposite. According to SEM and TEM images the HfO2, NPs are spherical, and their size is less than 10 nm, anchored on the surface of the graphene sheets. The EDX spectrum shows carbon, oxygen, and HfO2 and reveals the formation of the HfO2-graphene nanocomposite. The UV-vis absorption spectra show the optical properties of synthesized HfO2-graphene nanocomposite. The study examines the influence of different ratios of the addition of graphene on the photocatalytic activity of HfO2-graphene. It was found that the HfO2-graphene (50 wt%) 40 mg nanocomposite exhibits enhanced photocatalytic activity than the bare HfO2 towards the methylene blue photodegradation, an aromatic pollutant in water under UV light irradiation, which can be applied optimally for individually wastewater management system. The HfO2-graphene (50 wt%) photocatalyst degrades 81 ± 2% of tetracycline in 180 min, implying that tetracycline can be degraded more efficiently under UV light. The enhancement in photocatalytic activity under UV light illumination can be attributed to the effective separation of photogenerated electrons, inhibiting recombination in the HfO2-graphene composite

Impacts and Climate Change Adaptation of Agrometeorological Services among the Maize Farmers of West Tamil Nadu

Climate change is often linked with record-breaking heavy or poor rainfall events, unprecedented storms, extreme day and night time temperatures, etc. It may have a marked impact on climate-sensitive sectors and associated livelihoods. Block-level weather forecasting is a new-fangled dimension of agrometeorological services (AAS) in the country and is getting popularized as a climate-smart farming strategy. Studies on the economic impact of these microlevel advisories are uncommon. Agromet advisory services (AAS) play a critical role as an early warning service and preparedness among the maize farmers in the Parambikulam–Aliyar Basin, as this area still needs to widen and deepen its AWS network to reach the village level. In this article, the responses of the maize farmers of Parambikulam–Aliyar Basin on AAS were analyzed. AAS were provided to early and late Rabi farmers during the year 2020–2022. An automatic weather station was installed at the farmers’ field to understand the real-time weather. Forecast data from the India Meteorological Department (IMD) were used to provide agromet advisory services. Therefore, the present study deserves special focus. Social media and other ICT tools were used for AAS dissemination purposes. A crop simulation model (CSM), DSSAT4.7cereal maize, was used for assessing maize yield in the present scenario and under the elevated GHGs scenario under climate change. Our findings suggest that the AAS significantly supported the farmers in sustaining production. The AAS were helpful for the farmers during the dry spells in the late samba (2021–2022) to provide critical irrigation and during heavy rainfall events at the events of harvest during early and late Rabi (2021–22). Published research articles on the verification of weather forecasts from South India are scanty. This article also tries to understand the reliability of forecasts. Findings from the verification suggest that rainfall represented a fairly good forecast for the season, though erratic, with an accuracy score or HI score of 0.77 and an HK score of 0.60, and the probability of detection (PoD) of hits was found to be 0.91. Verification shows that the forecasted relative humidity observed showed a fairly good correlation, with an R2 value of 0.52. These findings suggest that enhancing model forecast accuracy can enhance the reliability and utility of AAS as a climate-smart adaptation option. This study recommends that AAS can act as a valuable input to alleviate the impacts of hydrometeorological disasters on maize crop production in the basin. There is a huge demand for quality weather forecasts with respect to accuracy, resolution, and lead time, which is increasing across the country. Externally funded research studies such as ours are an added advantage to bridge the gap in AAS dissemination to a great extent