Relevant bibliographies by topics / Monitoring Smart Environment

Academic literature on the topic 'Monitoring Smart Environment'

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Published: 14 March 2023

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Journal articles on the topic "Monitoring Smart Environment"

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Et.al, P. Devi. "Remote Monitoring And Localization: Tools For Smart Parking." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (April 11, 2021): 3985–90. http://dx.doi.org/10.17762/turcomat.v12i3.1688.

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The increase in usage of IoT environment is beyond the limits, which use Wireless (WSN).These networks can be used in many environments like logistics, supply chain management,health management,e-governance, smart parking, smart city, and smart appliances. WSN is a collection of sensors spread across them to base station/sink. Remote sensing sensors do sensing of an object remotely and detectthe static or dynamic information.In this paper, discussion is made on how to monitor and track the person’scar within a shopping mall. Remote monitoring and local optimization techniques are used in smart parking architecture, which suits for smart parking environment. Further, description of some of the monitoring and tracking techniques which was used earlier also been discussed with different types of protocols used for this appropriate environment. These systems can be implemented for effective smart parking.
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Finogeev, Alexey, Аnton Finogeev, Ludmila Fionova, Artur Lyapin, and Kirill A. Lychagin. "Intelligent monitoring system for smart road environment." Journal of Industrial Information Integration 15 (September 2019): 15–20. http://dx.doi.org/10.1016/j.jii.2019.05.003.

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S, Anasica. "Research on Smart Environment Monitoring Systems based on Secure Internet of Things (IoT)." International Journal on Future Revolution in Computer Science & Communication Engineering 8, no. 1 (March 31, 2022): 48–55. http://dx.doi.org/10.17762/ijfrcsce.v8i1.2090.

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Significant environmental threats include poor air quality, water contamination, and radiation pollution. A healthy society must be maintained for the planet to experience sustained growth. Environmental monitoring has transformed into smart environment monitoring (SEM) systems in recent years due to the growth of an internet of things (IoT). The Internet of Things (IoT) concept has developed into technology for creating smart environments and also has its disadvantage. To collect, evaluate, and recommend specific actions in smart environments for various purposes, a secure IoT-based platform is proposed. The proposed method follows the flow outlined here: data collection, normalization technique is used for data preprocessing, Linear Discriminant Analysis (LDA) is used for feature extraction, then data stored in IoT, Advanced Twofish encryption algorithm is proposed for securing the data, then user decryption, and finally performance is analyzed for smart environment monitoring using secure IoT. The proposed work aims to complete a critical evaluation of significant contributions to SEM that focus on the monitoring of water quality, air quality, radiation contamination, and agricultural systems. Secure IoT is based on the optimal integration and use of data gathered from several sources. This algorithm provides smart environment monitoring and also exhibits optimal integration.
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Firdhous, Mohamed Fazil Mohamed, and B. H. Sudantha. "{Cloud, IoT}-powered smart weather station for microclimate monitoring." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 1 (January 1, 2020): 508. http://dx.doi.org/10.11591/ijeecs.v17.i1.pp508-515.

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<p>Microclimate monitoring is important in many practical situations involving agriculture, archaeology and other environments. Microclimate is defined as the environmental conditions that differs from that of surrounding areas. In certain situations, these different conditions are artificially generated for creating a conducive environment for achieving better results. Environments such as greenhouses and climate controlled beehives require to maintain their environments within close variations for optimum results. Similarly archaeological sites including show caves, frescos and parks get disturbed easily by the changes in their immediate environments. Hence monitoring and managing these environments is a must for the proper maintenance of them. In this paper, the authors present an IoT enabled microclimate monitoring weather station that can be installed anywhere and monitor the required parameters from remotely. The modular design enables the station to be easily modified to suit any environment. The weather station collects and transmit data at fixed intervals to the cloud powered processing system over the mobile communication network . The sensors have been calibrated using the standard calibration methods using conventional devices as references. The results obtained from the prototype shows that the weather station works satisfactorily reading the real environment conditions.</p>
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Yadav, Sanchit, and Kamlesh Kumar Singh. "Smart Environmental Health Monitoring System." Journal of Informatics Electrical and Electronics Engineering (JIEEE) 2, no. 1 (April 5, 2021): 1–5. http://dx.doi.org/10.54060/jieee/002.01.003.

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Pollution is a growing issue these days. It is necessary to analyze environment & keep it in check for a for best future as well as healthy living for all. Here we propose an Envi-ronment Monitoring System that permit us to watch & check live environment in espe-cially areas through Internet of Things (IOT). IoT supported a real time environmental monitoring system. It plays a crucial role in today’s world through a huge and pro-tract-ed system of sensor networks concerned to the environment & its parameters. This technique deals with monitoring important environmental conditions like temperature, humidity & CO level using the sensor & then this data is shipped to the web page. This information is often access from anyplace over the internet & then the sensor in-formation is presented as graphical statistics during mobile application. This paper explains & present the implementation & outcome of this environmental system uses the sensors for temperature, humidity, air quality & different environmental parameters of the surrounding space. This data is often used to take remote actions to regulate the conditions. Information is pushed to the distributed storage & android app get to the cloud & present the effect to the end users. The system employs a Node MCU, DHT-11 sensor, MQl35 sensor, which transmits data to WEBPAGE. An Android application is made which accesses the cloud data and displays results to the end users. The sensors interact with microcontroller which processes this information & transmit it over internet. This system is best method for any use in monitoring the environment and handling it because everything is controlled automatically through all the time of the process. The results say everything about the application of this system across different field where it was controlled precisely and effectively which further explains that this system easily makes our work easier because of this automatic monitoring system worries about other unexpected climate issues for world.
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., Satvir Singh. "REVIEW OF SMART SENSOR NETWORKS FOR ENVIRONMENT MONITORING." International Journal of Research in Engineering and Technology 04, no. 04 (April 25, 2015): 766–69. http://dx.doi.org/10.15623/ijret.2015.0404133.

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Hu, Chunzheng, Fushuai Miao, Zeyu Ding, and Wei Gong. "Smart Home Environment Monitoring System Based on Microcontroller." Journal of Physics: Conference Series 2405, no. 1 (December 1, 2022): 012019. http://dx.doi.org/10.1088/1742-6596/2405/1/012019.

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Abstract More than 90% of a person’s lifetime is spent indoors in a variety of activities, thus the parameters of the home environment affect human physical and mental health. With the development of Internet of things technology, people put forward new and higher requirements for the smart home. Based on the microcontroller, in this paper, we use multiple sensor systems to monitor various indoor environmental parameters, that is, to collect and display the environmental temperature, humidity, light intensity, CO concentration, and smoke concentration accurately and in real time. In the process of monitoring, the limits of various environmental parameters can be set artificially. Different types of alarms will be activated when one or several parameters are detected to exceed the limits. The microcontroller transmits the monitoring data to mobile terminals such as smartphones and others through Bluetooth modules, and the display interface is clear and intuitive. After testing, the system has the advantages of accurate measurement results, stable performance, and simple operation, which has a certain promotion and use value in smart home environment monitoring.
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Premkumar, R., Jayanarayani K, Lavanya J, Nirubaa A.G, and Thirupurasundari K. "Smart Dumpster Monitoring System." International Journal of Engineering & Technology 7, no. 3.34 (September 1, 2018): 172. http://dx.doi.org/10.14419/ijet.v7i3.34.18940.

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The project is about smart way of collecting and disposing garbage. A system is designed by automatic opening and closing of the lid when the sensor senses the hand motion. The level of the wastes is measured using sonar sensor and the smell from the waste is detected using gas sensor. In order to avoid the smell, sprayer is placed inside the dustbin which is activated when the signal is sent. There is a motor attached to the lid is used to compress the garbage for further dumping. Once the bin is fully filled the lid is closed automatically and a message is send through GSM. The status of the bin will be displayed as a message outside the bin using LCD display. The problem of overflowing of garbage and the smell will be avoided leading to a good hygienic environment.
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Zaharia, Mihai Horia. "A SMART ENVIRONMENT INFRASTRUCTURE." Environmental Engineering and Management Journal 15, no. 10 (2016): 2285–300. http://dx.doi.org/10.30638/eemj.2016.250.

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Pino, Esteban, Dorothy Curtis, Thomas Stair, and Lucila Ohno-Machado. "SMART." International Journal of Healthcare Delivery Reform Initiatives 1, no. 4 (October 2009): 1–16. http://dx.doi.org/10.4018/jhdri.2009100101.

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Patient monitoring is important in many contexts: at mass-casualty disaster sites, in improvised emergency wards, and in emergency room waiting areas. Given the positive history of use of monitoring systems in the hospital during surgery, in the recovery room, or in an intensive care unit, the authors sought to use recent technological advances to enable patient monitoring in more diverse circumstances: at home, while traveling, and in some less well-monitored areas of a hospital. This paper presents the authors’ experiences designing, implementing and deploying a wireless disaster management system prototype in a real hospital environment. In addition to a review of related systems, the sensors, algorithms and infrastructure used in our implementation are presented. Finally, general guidelines for ubiquitous methodologies and tools are shared based on the lessons learned from the actual implementation.
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Dissertations / Theses on the topic "Monitoring Smart Environment"

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Peng, Yang. "Smart sensing design for environment monitoring sensor networks." Online access for everyone, 2008. http://www.dissertations.wsu.edu/Thesis/Summer2008/y_peng_072208.pdf.

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Persson, Martin. "A Framework for Monitoring Data from a Smart Home Environment." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-79884.

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This master thesis presents the design and implementation of a framework for monitoringdata related to activities of daily living (ADL) in a smart home environment, conducted for theHuman Health and Activity Laboratory (H2Al) at Luleå University of Technology. The generalaim of such environments is to increase the quality of life by enabling elderly to live longer athome while reducing the consumption of resources necessary. The complexity of collection,filtering and storing of data in smart home environments is however inherent due to oftenmany interworking sensor-systems, which allmay have different APIs and communicationpathways. This means that knowing whether ‘all systems are go’ when for example doing astudy is not easy, especially for persons not trained in data science.This work therefore aim to design and implement a framework for datamonitoring thattargets smart home environments in which activities of daily living are important for analysisof health-related conditions and for the personalised tailoring of interventions. The frameworkprimarily collects data from four selected systems, that for example track the position andmovements of a person. The data is stored in a database and visualised on a website toallow for monitoring of individual sensor data being collected. The framework was validatedtogether with a occupational therapist through a proof-of-concept trial in the Human Healthand Activity Laboratory, for which healthy subjects conducted a typical test (making a salad)used when assessing human performance.In conclusion, the developed framework works as expected, collecting data frommanysensor systems and storing the data in a common format, while the visualisation on a websiteis perceived as giving an easy overview of monitored data. Additional data can easily be addedto the framework and other processes beyond monitoring can be linked to the data, suchas further data refinement and algorithms for activity recognition (possibly using machinelearning techniques). Future work include to better distinguish data from multiple occupants,develop themanagement of synchronous and asynchronous data, and refine the web interfacefor additional simplicity
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Giarola, Enrico. "Distributed Monitoring for User Localization and Profiling in Smart Environment." Doctoral thesis, Università degli studi di Trento, 2018. https://hdl.handle.net/11572/368899.

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The study of the next-generation distributed systems for distributed monitoring and user localization in smart environment is treated in this thesis. In the last years, a growing amount of attention has been focused on the adoption of Wireless Sersor Networks (WSN) as a scalable and flexible backbone to implement innovative services in smart environments, like smart building and smart cities. In this framework, this thesis will describe heterogeneous solutions to improve the supervision, control, monitoring, and management of public and private spaces. All these systems exploit the wireless communication and sensing in combination with smart methodologies to provide advanced services to the end user in many application fields, from environmental monitoring to energy management in smart districts or private and public buildings, up to road security and indoor occupancy for management and security reason. The data acquired by the WSN technology are used as input of customized strategies and algorithms developed for the real-time processing, fast analysis and result visualization.
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Giarola, Enrico. "Distributed Monitoring for User Localization and Profiling in Smart Environment." Doctoral thesis, University of Trento, 2018. http://eprints-phd.biblio.unitn.it/2776/1/Ph.D.Thesis.GIAROLA-February.2018.pdf.

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The study of the next-generation distributed systems for distributed monitoring and user localization in smart environment is treated in this thesis. In the last years, a growing amount of attention has been focused on the adoption of Wireless Sersor Networks (WSN) as a scalable and flexible backbone to implement innovative services in smart environments, like smart building and smart cities. In this framework, this thesis will describe heterogeneous solutions to improve the supervision, control, monitoring, and management of public and private spaces. All these systems exploit the wireless communication and sensing in combination with smart methodologies to provide advanced services to the end user in many application fields, from environmental monitoring to energy management in smart districts or private and public buildings, up to road security and indoor occupancy for management and security reason. The data acquired by the WSN technology are used as input of customized strategies and algorithms developed for the real-time processing, fast analysis and result visualization.
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Bremstedt, Pedersen Ivan, and Alfred Andersson. "More than downloading : Visualization of data produced by sensors in a home environment." Thesis, KTH, Kommunikationssystem, CoS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-97937.

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A home automation system usually contains a set of tools that users use to control devices in their homes, often remotely. These devices often include but are not limited to light switches, thermostats, thermometers, window blinds, and climate controls. The potential for these kinds of systems is huge because of the sheer number of devices that could be controlled and managed with minimal and inexpensive extra hardware. Many of the appliances in a normal home could benefit from being connected to a system that allows the owner to manage and control the devices in their home. Thus the number of potential devices is orders of magnitude larger than the number of homes connected to the system. There are several systems on the market that provide systems to monitor and control a home environment, however these systems only support specific in system devices. This uncovers a problem where a homeowner only has the opportunity to use specific products that fit into these systems. By introducing an open platform for the public that are not bound to any system we can allow more devices to be integrated in the home and contribute to further development of smarter homes. The goal with this project was to provide a scalable open platform with the possibility of asynchronous updating. This has been done by implementing multiple logical parts to both provide a web interface for the user and to allow us to handle communication and storage of data. All these parts are linked together to form a system of servers that handles all background operations. This thesis discusses and presents implementations of all of these servers, how they are implemented, communicate with each other, provide secure connections and how they can scale with increasing usage. In this process we also discuss and present techniques that were used, how to use them and their benefits, to help us reach our goal.
”Home automation” syftar till ett system som låter användaren kontrollera och styra olika apparater i hemmet, ofta sker detta utifrån. Dessa apparater inkluderar, men är inte begränsade till ljusbrytare, termostater, termometrar, persienner eller klimatanläggningar. Potentialen för ett sådant system är enormt då antalet apparater som skulle kunna övervakas med endast minimal och billig extra hårdvara är stort. Många av dessa apparater kan dra nytta av att vara ansluten till ett system som gör det möjligt för ägaren att hantera och styra enheter i deras hem. Antalet apparater är därför mångdubbelt fler än antalet hem som är kopplade till systemet. Det finns flera system på marknaden som ger användaren ett sätt att övervaka och styra en hemmiljö, men dessa system är ofta låsta och stödjer bara specifika enheter. Genom att införa en öppen plattform för allmänheten som inte är bunden till något system, kan vi tillåta att fler enheter kan integreras i hemmet och bidra till ytterligare utveckling av smartare hem. Målet med detta projekt var att skapa en skalbar öppen plattform med möjlighet till asynkron uppdatering. Detta har gjorts genom att implementera flera logiska delar för att förse användaren med ett webbgränssnitt och för att tillåta oss hantera kommunikation och lagring av data. Alla dessa delar är sammanlänkade för att bilda ett system av servrar som hanterar alla bakgrundsprocesser. Denna avhandling diskuterar och presenterar implementeringar av alla dessa servrar, hur de genomförs, kommunicera med varandra, ger säkra anslutningar och hur de kan skala med ökad användning. I denna process diskuterar och presenterar vi de tekniker som använts, hur man använder dem och deras fördelar.
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RAZZAK, FAISAL. "The Role of Semantic Web Technologies in Smart Environments." Doctoral thesis, Politecnico di Torino, 2013. http://hdl.handle.net/11583/2506366.

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Today semantic web technologies and Linked Data principles are providing formalism, standards, shared data semantics and data integration for unstructured data over the web. The result is a transformation from theWeb of Interaction to theWeb of Data and actionable information. On the crossroad lies our daily lives, containing plethora of unstructured data which is originating from low cost sensors and appliances to every computational element used in our modern lives, including computers, interactive watches, mobile phones, GPS devices etc. These facts accentuate an opportunity for system designers to combine these islands of data into a large actionable information space which can be utilized by automated and intelligent agents. As a result, this phenomenon is likely to institute a space that is smart enough to provide humans with comfort of living and to build an efficient society. Thus, in this context, the focus of my research has been to propose solutions to the problems in the domains of smart environment and energy management, under the umbrella of ambient intelligence. The potential role of semantic web technologies in these proposed solutions has been analysed and architectures for these solutions were designed, implemented and tested.
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Pinarer, Ozgun. "Sustainable Declarative Monitoring Architecture : Energy optimization of interactions between application service oriented queries and wireless sensor devices : Application to Smart Buildings." Thesis, Lyon, 2017. http://www.theses.fr/2017LYSEI126/document.

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La dernière décennie a montré un intérêt croissant pour les bâtiments intelligents. Les bâtiments traditionnels sont les principaux consommateurs d’une partie importante des ressources énergétiques, d'où le besoin de bâtiments intelligents a alors émergé. Ces nouveaux bâtiments doivent être conçus selon des normes de construction durables pour consommer moins. Ces bâtiments intelligents sont devenus l’un des principaux domaines d’application des environnements pervasifs. En effet, une infrastructure basique de construction de bâtiment intelligent se compose notamment d’un ensemble de capteurs sans fil. Les capteurs basiques permettent l’acquisition, la transmission et la réception de données. La consommation d’énergie élevée de l’ensemble de ces appareils est un des problèmes les plus difficiles et fait donc l’objet d’études dans ce domaine de la recherche. Les capteurs sont autonomes en termes d’énergie. Etant donné que la consommation d’énergie a un fort impact sur la durée de vie du service, il existe plusieurs approches dans la littérature. Cependant, les approches existantes sont souvent adaptées à une seule application de surveillance et reposent sur des configurations statiques pour les capteurs. Dans cette thèse, nous contribuons à la définition d’une architecture de surveillance déclaratif durable par l’optimisation énergétique des interactions entre requêtes applicative orientées service et réseau de capteurs sans fil. Nous avons choisi le bâtiment intelligent comme cas d’application et nous étudions donc un système de surveillance d’un bâtiment intelligent. Du point de vue logiciel, un système de surveillance peut être défini comme un ensemble d’applications qui exploitent les mesures des capteurs en temps réel. Ces applications sont exprimées dans un langage déclaratif sous la forme de requêtes continues sur les flux de données des capteurs. Par conséquent, un système de multi-applications nécessite la gestion de plusieurs demandes de flux de données suivant différentes fréquences d’acq/tx de données pour le même capteur sans fil, avec des exigences dynamiques requises par les applications. Comme une configuration statique ne peut pas optimiser la consommation d’énergie du système, nous proposons une approche intitulée Smart-Service Stream-oriented Sensor Management (3SoSM) afin d’optimiser les interactions entre les exigences des applications et l’environnement des capteurs sans fil, en temps réel. 3SoSM offre une configuration dynamique des capteurs pour réduire la consommation d’énergie tout en satisfaisant les exigences des applications en temps réel. Nous avons conduit un ensemble d’expérimentations effectuées avec un simulateur de réseau de capteurs sans fil qui ont permis de valider notre approche quant à l’optimisation de la consommation d’énergie des capteurs, et donc l’augmentation de la durée de vie de ces capteurs, en réduisant notamment les communications non nécessaires
Recent researches and analysis reports declare that high energy consumption of buildings is major problem in developed countries. As a result, they show concretely that building energy management systems (BEMS) and deployed wireless sensor network environments are important for energy efficiency of building operations. In the literature, existing smart building management systems focus on energy consumption of the building, hardware deployed inside/outside of the building and network communication issues. They adopt static configurations for wireless sensor devices and proposed models are fitted to a single application. In this study, we propose a sustainable declarative monitoring architecture that focus on the energy optimisation of interactions between application service oriented queries and wireless sensor devices. We consider the monitoring system as a set of applications that exploit sensor measures in real time such as HVAC automation and control systems, real time supervision, security. These applications can be configured dynamically by the users or by the supervisor. In our approach, we take a data point of view: applications are declaratively expressed as a set of continuous queries on the sensor data stream. To achieve our objective of energy aware optimization of the monitoring architecture, we formalize sensor device configuration and fit data acquisition and data transmission to actual applications requirements. We present a complete monitoring architecture and an algorithm that handles dynamic sensor configuration. We introduce a platform that covers physical and also simulated wireless sensor devices
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ILIE, Ana Maria Carmen. "Smart Sensor Technology for Environmental Monitoring Applications." Doctoral thesis, Università degli studi di Ferrara, 2018. http://hdl.handle.net/11392/2487882.

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Research Project focused on developing innovative devices using the low-cost sensors to obtain the concentrations of greenhouse gases (GHGs) such as carbon dioxide (CO2) and methane (CH4) as well as obtain a good water quality as a 2nd treatment in the Wastewater Treatment Plant. In addition to sensor calibration, the multi-parameter monitor prototype were tested in several contexts: a) Laboratory scale with natural soil columns, to figure out the sensor response under controlled conditions, calibration and validation; b) Field scale in many geological contexts, for Air-Soil quality (methane and carbon dioxide measurements): Natural Gas Storage Site in Minerbio, Italy; Drilling and Hydraulic Fracturing activities in Greeley, CO, USA; for Water Quality: Wastewater Treatment Plant in Algarve, Portugal. The monitoring system provided a huge set of data for which can be used statistical analysis, management and processing (Big DATA). The source identification of greenhouse gas emissions is identified in several IPCC reports that climate change is the major emergency for the socio / economic / environmental equilibrium of Earth planet. No outliers were identified as methane gas concentrations at Minerbio gas storage site, Italy and at Hydraulic activities in Greeley, Colorado. The soil column experiments for infiltration basins in the Wastewater treatment plant in Algarve, Portugal, gave us good results, the water quality was improved after the 2nd treatment. The low-cost sensors (gas – water) gave as a good calibration and validation with r2 coefficient of correlation of 0.70 – 0.96.
Il progetto di ricerca si è concentrato sullo sviluppo di dispositivi innovativi utilizzando i sensori a basso costo per ottenere le concentrazioni di gas (GHG) quali anidride carbonica (CO2) e metano (CH4) e ottenere una buona qualità dell'acqua come secondo trattamento nelle acque reflue nell’impianto di trattamento. Oltre alla calibrazione del sensore, il prototipo di monitoraggio multiparametro è stato testato in diversi contesti: a) Nel laboratorio con colonne di terreno naturali, suoli, per determinare la risposta del sensore in condizioni controllate, calibrazione e validazione; b) Scala di campo in molti contesti geologici, per la qualità Aria-suolo (misure di metano e anidride carbonica, radon) nel sito di stoccaggio di gas naturale a Minerbio, Italia; Attività di perforazione e fratturazione idraulica in Greeley, Colorado, USA; per la qualità dell'acqua: impianto di trattamento delle acque reflue in Algarve, Portogallo. Il sistema di monitoraggio ha fornito un enorme set di dati per i quali è stato possibile utilizzare analisi statistiche, gestione ed elaborazione (Big DATA). L'identificazione della fonte delle emissioni di gas è stata identificata in diversi rapporti dell'IPCC secondo cui i cambiamenti climatici rappresentano l'emergenza principale per l'equilibrio socio / economico / ambientale del pianeta Terra. Non sono stati identificati valori anomali come concentrazioni di gas metano nel sito di stoccaggio di Minerbio (Italia) e nelle attività di perforazione in Greeley, Colorado, USA. Gli esperimenti con la colonna di terreno per i bacini di infiltrazione nell'impianto di trattamento delle acque reflue in Algarve, in Portogallo, ci hanno dato buoni risultati, la qualità dell'acqua è stata migliorata dopo il 2 ° trattamento. I sensori a basso costo (gas - acqua) per la qualita’ dell’aria e del suolo, hanno fornito una buona calibrazione e validazione con coefficiente di correlazione r2 di 0,70 - 0,96.
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Ahmed, Faizan. "Global IoT Coverage Through Aerial And Satellite Network." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281245.

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Internet of Things (IoT) and Machine Type Communication (MTC) have got more momentum in the last few years but still, need to be penetrated with their full swing in our daily life. This can be possible with general framework that provides global network coverage. Non-terrestrial networks comprised of satellites and aerial platforms are expected to provide next-generation communication services in underserved and un-served areas by ensuring the quality of service that cannot be covered by existing terrestrial networks owing to economical and geographical limitations. The aim of this thesis is to formulate a set of massive and critical MTC use cases such as global environment monitoring, tracking of shipping containers and smart agriculture, and assess their comprehensive requirements like data size, sensor node density and uplink capacity and discuss possible network architectures and deployments focusing on satellite or aerial networks. A rigorous discussion on different network architectures to address the requirements have been presented, that involve (1) Low Earth Orbit (LEO) satellite based network, (2) High Altitude Platform (HAP) based network, and (3) HAP and UAV based network. The proposed network architectures have been simulated and analyzed using MATLAB tools for respective use cases in terms of required number of satellites or aerial platforms. The criteria for selection of network architectures for the use cases are based on the minimum number of satellites or aerial platforms. The results show that LEO constellation consisting of 260 satellites are feasible concerning deployment and management for global environment monitoring network. Similarly, 1440 LEO satellites provide global coverage for tracking of shipping containers. Smart agriculture use case requires high throughput, and hence HAP and UAV integrated network architecture is more realistic for a fully autonomous system as compared to other network architectures. Cooperative control and management of set of agricultural machines can be performed at the UAV. Simulation results show that single UAV can be capable of commanding and controlling the agricultural smart machines in one square kilometer crop field and can send the summary of events to the central station via a HAP.
Internet of Things (IoT) och maskintypkommunikation (MTC) har fått mer fart under de senaste åren men måste fortfarande penetreras med sin fulla sväng i vårt dagliga liv. Detta kan vara möjligt med allmän ramverk som ger global nätverkstäckning. Icke- markbundna nät bestående av satelliter och flygplattformar förväntas tillhandahålla nästa generations kommunikationstjänster i undervärdiga och obetjänade områden genom att säkerställa kvaliteten påtjänster som inte kan täckas av befintliga marknät pågrund av ekonomiska och geografiska begränsningar. Syftet med den här avhandlingen är att formulera en uppsättning massiva och kritiska MTC-användningsfall som global miljöövervakning, spårning av fraktcontainrar och smart jordbruk, och utvärdera deras omfattande krav som datastorlek, sensornoddensitet och upplänkkapacitet och diskutera möjliga nätverk arkitekturer och distributioner med fokus påsatellit- eller flygnät. En rigorös diskussion om olika nätverksarkitekturer för att möta kraven har presenterats, som involverar (1) Low Earth Orbit (LEO) satellitbaserat nätverk, (2) High Altitude Platform (HAP) baserat nätverk, och (3) HAP och UAV baserat nätverk. De föreslagna nätverksarkitekturerna har simulerats och analyserats med MATLAB-verktyg för respek- tive användningsfall i termer av det nödvändiga antalet satelliter eller flygplattformar. Kriterierna för val av nätverksarkitekturer för användningsfallen är baserade pådet minsta antalet satelliter eller flygplattformar. Resultaten visar att LEO-konstellationen bestående av 260 satelliter är möjlig när det gäller distribution och hantering för globalt miljöövervakningsnätverk. Påliknande sätt ger 1440 LEO-satelliter global täckning för spårning av fraktcontainrar. Småjordbruksanvändningsfall kräver hög kapacitet, och följaktligen är HAP och UAV integrerad nätverksarkitektur mer realistisk för ett helt autonomt system jämfört med andra nätverksarkitekturer. Kooperativ kontroll och hantering av jordbruksmaskiner kan utföras vid UAV. Simuleringsresultat visar att en enda UAV kan vara kapabel att kommandera och kontrollera jordbrukssmarta maskiner i ett kvadratkilometer grödningsfält och kan skicka sammanfattningen av händelser till centralstationen via HAP.
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Eichinski, Philip. "Smart sampling of environmental audio recordings for biodiversity monitoring." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/123022/1/Philip_Eichinski_Thesis.pdf.

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This thesis contributes to the field of acoustic environmental monitoring by developing novel semiautomated methods of processing long audio recordings to conduct species richness surveys efficiently. These methods allow a machine to select rich subset of the recordings though estimations of acoustic variety, which can then be presented to the human listener for species identifications. This work represents a step towards more effective biodiversity monitoring of vocal species that can be performed at a larger scale than is possible with traditional methods.
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Books on the topic "Monitoring Smart Environment"

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Kyung, Chong-Min, ed. Smart Sensors for Health and Environment Monitoring. Dordrecht: Springer Netherlands, 2015. http://dx.doi.org/10.1007/978-94-017-9981-2.

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Kenol, Jules, and NASA Glenn Research Center, eds. An intelligent system for monitoring the microgravity environment quality on-board the International Space Station. [Cleveland, Ohio]: National Aeronautics and Space Administration, Glenn Research Center, 2002.

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Björn, Gottfried, and Aghajan Hamid K, eds. Behaviour monitoring and interpretation - BMI: Smart environments. Amsterdam: IOS Press, 2009.

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Björn, Gottfried, and Aghajan Hamid K, eds. Behaviour monitoring and interpretation - BMI: Smart environments. Amsterdam: IOS Press, 2009.

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Mukhopadhyay, Subhas C., ed. Smart Sensing Technology for Agriculture and Environmental Monitoring. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27638-5.

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Mukhopadhyay, Subhas C. Smart Sensing Technology for Agriculture and Environmental Monitoring. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Israel, Gannot, Tanev S, and SpringerLink (Online service), eds. Optical Waveguide Sensing and Imaging. Dordrecht: Springer Science+Business Media, B.V, 2008.

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Butkeviciene, Egle. Citizen Science and Social Innovation: Mutual Relations, Barriers, Needs, and Development Factors. Lausanne: Frontiers Media, 2022.

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Kyung, Chong-Min. Smart Sensors for Health and Environment Monitoring. Springer, 2016.

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Kyung, Chong-Min. Smart Sensors for Health and Environment Monitoring. Springer, 2015.

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Book chapters on the topic "Monitoring Smart Environment"

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Masucci, Dario, Chiara Foglietta, Cosimo Palazzo, and Stefano Panzieri. "Smart Environment Monitoring Testbed." In Advances in Intelligent Systems and Computing, 787–98. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1165-9_72.

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Smith, Jeremy Dylan, and Vinod K. Lohani. "Development of a Virtual Environment for Environmental Monitoring Education." In Smart Industry & Smart Education, 443–50. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-95678-7_49.

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El Outmani, Ayyoub, El Miloud Jaara, and Mostafa Azizi. "Monitoring Energy Consumption of Android Apps with AppsDrain." In Artificial Intelligence and Smart Environment, 635–41. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26254-8_92.

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Almeida, Carlos, João C. Martins, João Miguel Santos, and José Jasnau Caeiro. "Smart Lysimeter with Crop and Environment Monitoring." In Internet of Things. Technology and Applications, 48–63. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96466-5_4.

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Zhu, Qingyuan. "Integrated Environment Monitoring and Data Management in Agriculture." In Encyclopedia of Smart Agriculture Technologies, 1–12. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-030-89123-7_253-1.

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Boudlal, Hicham, Mohammed Serrhini, and Ahmed Tahiri. "An Intelligent Monitoring Approach Based on WiFi Sensing for Smart Hospital." In Artificial Intelligence and Smart Environment, 212–23. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-26254-8_30.

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Al Hemairy, M., M. Serhani, S. Amin, and M. Alahmad. "A Comprehensive Framework for Elderly Healthcare Monitoring in Smart Environment." In Technology for Smart Futures, 113–40. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60137-3_6.

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Pahal, Nisha, Deepti Goel, and Santanu Chaudhury. "Environment Monitoring System for Smart Cities Using Ontology." In Innovations in Smart Cities Applications Edition 2, 44–56. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11196-0_5.

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Mahima, V., G. R. Kanagachidambaresan, M. Balaji, and Jagannath Das. "Reliability Study of Sensor Node Monitoring Unattended Environment." In Smart Innovations in Communication and Computational Sciences, 179–87. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2414-7_18.

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Adewole, Adeyemi Charles, and Raynitchka Tzoneva. "Advances in Wide Area Monitoring, Protection and Control." In Power System Protection in Smart Grid Environment, 553–91. Boca Raton : Taylor & Francis, a CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa, plc, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9780429401756-17.

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Conference papers on the topic "Monitoring Smart Environment"

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Hammami, Amir. "Smart Environment Data Monitoring." In 2019 International Conference on Computer and Information Sciences (ICCIS). IEEE, 2019. http://dx.doi.org/10.1109/iccisci.2019.8716469.

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Fraiwan, Luay, and Abdulrahman Mahmoud Rajab. "Smart Indoor Environment Monitoring System." In 2020 IEEE 5th Middle East and Africa Conference on Biomedical Engineering (MECBME). IEEE, 2020. http://dx.doi.org/10.1109/mecbme47393.2020.9265124.

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Miletiev, Rosen, Ilian Damyanov, Emil Iontchev, and Rumen Yordanov. "Smart in-vehicle environment monitoring system." In 2020 XXIX International Scientific Conference Electronics (ET). IEEE, 2020. http://dx.doi.org/10.1109/et50336.2020.9238166.

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Avenash, R., Kevin Sanghoi, G. Sai Yoshitha, and V. K. Mittal. "Multimodal Smart Amphibot for environment monitoring." In 2016 IEEE Annual India Conference (INDICON). IEEE, 2016. http://dx.doi.org/10.1109/indicon.2016.7839136.

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BĂLĂCEANU, Cristina, George SUCIU, Romulus CHEVEREȘAN, Marius DOBREA, and Andreea IOSIF. "Monitoring Solutions For Smart Agriculture." In Air and Water Components of the Environment 2019 Conference. Casa Cărţii de Ştiinţă, 2019. http://dx.doi.org/10.24193/awc2019_17.

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Jiang, Biao, and Christian F. Huacon. "Cloud-based smart device for environment monitoring." In 2017 IEEE Conference on Technologies for Sustainability (SusTech). IEEE, 2017. http://dx.doi.org/10.1109/sustech.2017.8333472.

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Yao, Hong, Guang Yang, Changkai Zhang, Chengyu Hu, and Qingzhong Liang. "DDNM: Monitoring Environment Noise Using Smart Phones." In 2013 IEEE 7th International Symposium on Embedded Multicore Socs (MCSoC). IEEE, 2013. http://dx.doi.org/10.1109/mcsoc.2013.19.

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Ishibashi, Koichiro, Duangchak Manyvone, Miho Itoh, Van-Lan Dao, and Van-Phuc Hoang. "Beat Sensors for Smart Environment Monitoring Systems." In 2019 3rd International Conference on Recent Advances in Signal Processing, Telecommunications & Computing (SigTelCom). IEEE, 2019. http://dx.doi.org/10.1109/sigtelcom.2019.8696220.

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Gavrila, Cristinel, Vlad Popescu, Roberto Girau, Mariella Sole, Mauro Fadda, Matteo Anedda, and Daniele Giusto. "Health Monitoring in a Smart Home Environment." In 2022 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2022. http://dx.doi.org/10.1109/icce53296.2022.9730396.

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Levin, Anna, Konstantin Dorfman, Dean Lorenz, Sylvain Afchain, and Philippe Massonet. "Network Monitoring in Federated Cloud Environment." In 2017 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2017. http://dx.doi.org/10.1109/smartcomp.2017.7947026.

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Reports on the topic "Monitoring Smart Environment"

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Balyk, Nadiia, Svitlana Leshchuk, and Dariia Yatsenyak. Developing a Mini Smart House model. [б. в.], February 2020. http://dx.doi.org/10.31812/123456789/3741.

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The work is devoted to designing a smart home educational model. The authors analyzed the literature in the field of the Internet of Things and identified the basic requirements for the training model. It contains the following levels: command, communication, management. The authors identify the main subsystems of the training model: communication, signaling, control of lighting, temperature, filling of the garbage container, monitoring of sensor data. The proposed smart home educational model takes into account the economic indicators of resource utilization, which gives the opportunity to save on payment for their consumption. The hardware components for the implementation of the Mini Smart House were selected in the article. It uses a variety of technologies to conveniently manage it and use renewable energy to power it. The model was produced independently by students involved in the STEM project. Research includes sketching, making construction parts, sensor assembly and Arduino boards, programming in the Arduino IDE environment, testing the functioning of the system. Research includes sketching, making some parts, assembly sensor and Arduino boards, programming in the Arduino IDE environment, testing the functioning of the system. Approbation Mini Smart House researches were conducted within activity the STEM-center of Physics and Mathematics Faculty of Ternopil Volodymyr Hnatiuk National Pedagogical University, in particular during the educational process and during numerous trainings and seminars for pupils and teachers of computer science.
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Fowler, Camilla. Automation in transport - Leading the UK to a driverless future. TRL, July 2021. http://dx.doi.org/10.58446/tawj9464.

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The gap between technology development and automated vehicle deployment has been underestimated and the challenges involved with delivering autonomy have been far greater and more complex than first envisaged. TRL believe that in order for the UK to achieve its potential for automation in transport, the following activities are key in overcoming these challenges: Develop a UK regulatory approval system that enables the safe and secure deployment of automated vehicles in the future. A flexible and responsive regulatory system is needed that can enable innovation by streamlining entry into emerging markets and lessen the initial regulatory burden on developers and manufacturers. Provide a simple, consistent but robust approach to assuring safety during trials and testing to enable and facilitate trials across all UK locations and environments. The approach to safety assurance varies between stakeholders and this inconsistency can provide a barrier to testing in multiple locations or avoiding areas with more stringent requirements. TRL is developing a software tool that could be used to guide and support stakeholders when engaging with trialling organisations. Develop and implement a UK safety monitoring and investigation unit to monitor safety, analyse data, investigate incidents and provide timely feedback and recommended actions. TRL can identify road user behaviours that are likely to lead to a collision. These behaviours could be monitored using in-vehicle data and supplemented with environmental and location data from intelligent infrastructure. This proactive approach would drive safety improvements, promote continuous improvement, accelerate innovation and development and make Vision Zero a more realistic and achievable target. Enable more advanced trials to be undertaken in the UK where the boundaries of the technology are extended and solutions to the identified challenges are explored without compromising safety. London’s Smart Mobility Living Lab (SMLL) provides a unique real-world test facility to conduct advanced tests and validate vehicle behaviour performance. Through testing in a real-world environment and monitoring performance using cooperative infrastructure, we can accelerate learning and technology progression. Accelerate the adoption and safe implementation of automated vehicles for off- highway activities and minimise worker exposure to high risk environments and working practices within the UK and globally. As part of an Innovate funded project on Automated Off-highway Vehicles, TRL has developed and published a draft Code of Practice providing guidance to operators of automated vehicles in all sectors of the off-highway industry.
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Jens, Greinert. Mine Monitoring in the German Baltic Sea 2021; Dumped munition monitoring - AL567, 17th – 31st October 2021, Kiel (Germany) – Kiel (Germany), „MineMoni‐III 2021“ - Alkor-Berichte AL567. GEOMAR Helmholtz Centre for Ocean Research Kiel, 2023. http://dx.doi.org/10.3289/cr_al567.

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ALKOR cruise AL567 took place as part of the EMFF (European Maritime and Fisheries Fund)‐funded project BASTA (Boost Applied munition detection through Smart data 3etection3n and AI workflows; https://www.basta‐munition.eu) and ExPloTect (Ex‐situ, near‐real‐time 3etection compound 3etection in seawater) (also EMFF‐funded). It was the continuation of the munition monitoring started within the BMBF‐funded project UDEMM (Environmental Monitoring for the Delaboration of Munition in the Sea; https://udemm.geomar.de/).
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Balali, Vahid, Arash Tavakoli, and Arsalan Heydarian. A Multimodal Approach for Monitoring Driving Behavior and Emotions. Mineta Transportation Institute, July 2020. http://dx.doi.org/10.31979/mti.2020.1928.

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Studies have indicated that emotions can significantly be influenced by environmental factors; these factors can also significantly influence drivers’ emotional state and, accordingly, their driving behavior. Furthermore, as the demand for autonomous vehicles is expected to significantly increase within the next decade, a proper understanding of drivers’/passengers’ emotions, behavior, and preferences will be needed in order to create an acceptable level of trust with humans. This paper proposes a novel semi-automated approach for understanding the effect of environmental factors on drivers’ emotions and behavioral changes through a naturalistic driving study. This setup includes a frontal road and facial camera, a smart watch for tracking physiological measurements, and a Controller Area Network (CAN) serial data logger. The results suggest that the driver’s affect is highly influenced by the type of road and the weather conditions, which have the potential to change driving behaviors. For instance, when the research defines emotional metrics as valence and engagement, results reveal there exist significant differences between human emotion in different weather conditions and road types. Participants’ engagement was higher in rainy and clear weather compared to cloudy weather. More-over, engagement was higher on city streets and highways compared to one-lane roads and two-lane highways.
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Short, Samuel, Bernhard Strauss, and Pantea Lotfian. Emerging technologies that will impact on the UK Food System. Food Standards Agency, June 2021. http://dx.doi.org/10.46756/sci.fsa.srf852.

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Rapid technological innovation is reshaping the UK food system in many ways. FSA needs to stay abreast of these changes and develop regulatory responses to ensure novel technologies do not compromise food safety and public health. This report presents a rapid evidence assessment of the emerging technologies considered most likely to have a material impact on the UK food system and food safety over the coming decade. Six technology fields were identified and their implications for industry, consumers, food safety and the regulatory framework explored. These fields are: Food Production and Processing (indoor farming, 3D food printing, food side and byproduct use, novel non-thermal processing, and novel pesticides); Novel Sources of Protein, such as insects (for human consumption, and animal feedstock); Synthetic Biology (including lab-grown meat and proteins); Genomics Applications along the value chain (for food safety applications, and personal “nutrigenomics”); Novel Packaging (active, smart, biodegradable, edible, and reusable solutions); and, Digital Technologies in the food sector (supporting analysis, decision making and traceability). The report identifies priority areas for regulatory engagement, and three major areas of emerging technology that are likely to have broad impact across the entire food industry. These areas are synthetic biology, novel food packaging technologies, and digital technologies. FSA will need to take a proactive approach to regulation, based on frequent monitoring and rapid feedback, to manage the challenges these technologies present, and balance increasing technological push and commercial pressures with broader human health and sustainability requirements. It is recommended FSA consider expanding in-house expertise and long-term ties with experts in relevant fields to support policymaking. Recognising the convergence of increasingly sophisticated science and technology applications, alongside wider systemic risks to the environment, human health and society, it is recommended that FSA adopt a complex systems perspective to future food safety regulation, including its wider impact on public health. Finally, the increasing pace of technological
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Greinert, Jens. Mine Monitoring in the German Baltic Sea 2020; Dumped munition monitoring AL548, 03rd – 16th November 2020, Kiel (Germany) – Kiel (Germany) „MineMoni-II 2020“. GEOMAR Helmholtz Centre for Ocean Research Kiel, 2021. http://dx.doi.org/10.3289/cr_al548.

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ALKOR cruise AL548 took place as part of the EMFF (European Maritime and Fisheries Fund)-funded project BASTA (Boost Applied munition detection through Smart data inTegration and AI workflows; https://www.basta-munition.eu) and as continuation of the munition monitoring started within the BMBF-funded project UDEMM (Environmental Monitoring for the Delaboration of Munition in the Sea; https://udemm.geomar.de/). In October 2018, a first cruise (POS530 MineMoni2018) was conducted, to gather data for a broad baseline study in the German Baltic Sea. Results show a moderate contamination level on regional and coastal scale, but indicate higher levels for specific local areas. Within UDEMM, expertise was developed to detect, exactly locate and monitor munition (e.g. torpedoes, sea mines, ground mines) on the seafloor using optical and hydroacoustic means. In addition, chemical analyses of dissolved contaminants in the water and sediments was performed. Data acquired during this cruise are used in BASTA, which aims for enhanced munition detection via AUV-based artificial intelligence applied on multi-sensor datasets. At the same time, the project ExPloTect (Ex-situ, near-real-time exPlosive compound deTection in seawater) (also EMFF-funded) addresses the need for an innovative approach to detect explosive compounds in seawater. A prototype system was used and successfully tested for the first time during this cruise. The main focus was placed onto the two already known dumpsites Kolberger Heide and Lübeck Bight. Additionally, new areas Falshöft (Schleswig-Holstein) and Cadet Channel, Trollegrund and Großklützhöved (Mecklenburg-Vorpommern) were explored. In each area high-resolution multibeam mapping was performed and contact lists, indicating potential munition objects were produced on board. AUV surveys were conducted to ground-truth possible contacts via detailed photograph and magnetometer mapping. This was complemented with towed video (TV)-CTD profiles. The transits to and between those sites were planned along former constraint routes during WWII. These routes were main targets of the British Air Force and mines and bombs can be expected along these ways. During transits water samples were taken with on a CTD- (conductivity, temperature, depth) rosette-mounted Niskin bottles in regular distances, in order to obtain a comprehensive understanding munition compounds (inter alia trinitrotoluene (TNT)) measurements across the German Baltic Sea.
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Aryal, Jeetendra Prakash. Contribution of Agriculture to Climate Change and Low-Emission Agricultural Development in Asia and the Pacific. Asian Development Bank Institute, October 2022. http://dx.doi.org/10.56506/vaoy9373.

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The agriculture sector in Asia and the Pacific region contributes massively to climate change, as the region has the largest share of greenhouse gas (GHG) emissions from agriculture. The region is the largest producer of rice, a major source of methane emissions. Further, to achieve food security for the increasing population, there has been a massive increase in the use of synthetic fertilizer and energy in agricultural production in the region over the last few decades. This has led to an enormous rise in nitrous oxide (N2O; mostly from fertilizer-N use) and carbon dioxide (mostly from energy use for irrigation) emissions from agriculture. Besides this, a substantial increase in livestock production for meat and dairy products has increased methane emissions, along with other environmental problems. In this context, this study conducts a systematic review of strategies that can reduce emissions from the agriculture sector using a multidimensional approach, looking at supply-side, demand-side, and cross-cutting measures. The review found that though there are huge potentials to reduce GHG emissions from agriculture, significant challenges exist in monitoring and verification of GHG emissions from supply-side measures, shifting to sustainable consumption behavior with regard to food consumption and use, and the design and implementation of regulatory and incentive mechanisms. On the supply side, policies should focus on the upscaling of climate-smart agriculture primarily through expanding knowledge and improving input use efficiency in agriculture, while on the demand side, there is a need to launch a drive to reduce food loss and waste and also to move towards sustainable consumption. Therefore, appropriate integration of policies at multiple levels, as well as application of multiple measures simultaneously, can increase mitigation potential as desired by the Paris Agreement and also help to achieve several of the United Nations’ SDGs.
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Aryal, Jeetendra P. Contribution of Agriculture to Climate Change and Low-Emission Agricultural Development in Asia and the Pacific. Asian Development Bank Institute, October 2022. http://dx.doi.org/10.56506/wdbc4659.

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The agriculture sector in the Asia and Pacific region contributes massively to climate change, as the region has the largest share of greenhouse gas (GHG) emissions from agriculture. The region is the largest producer of rice, a major source of methane emissions. Further, to achieve food security for the increasing population, there has been a massive increase in the use of synthetic fertilizer and energy in agricultural production in the region over the last few decades. This has led to an enormous rise in nitrous oxide (N2O) (mostly from fertilizer-N use) and carbon dioxide (mostly from energy use for irrigation) emissions from agriculture. Besides this, a substantial increase in livestock production for meat and dairy products has increased methane emissions, along with other environmental problems. In this context, we conduct a systematic review of strategies that can reduce emissions from the agriculture sector using a multidimensional approach, looking at supply-side, demand-side, and cross-cutting measures. The review found that though there is a huge potential to reduce GHG emissions from agriculture, significant challenges exist in monitoring and verification of GHG emissions from supply-side measures, shifting to sustainable consumption behavior with regard to food consumption and use, and the design and implementation of regulatory and incentive mechanisms. On the supply side, policies should focus on the upscaling of climate-smart agriculture primarily through expanding knowledge and improving input use efficiency in agriculture, while on the demand side, there is a need to launch a drive to reduce food loss and waste and also to move toward sustainable consumption. Therefore, appropriate integration of policies at multiple levels, as well as application of multiple measures simultaneously, can increase mitigation potential as desired by the Paris Agreement and also help to achieve several of the United Nations’ Sustainable Development Goals.
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