Gotowe bibliografie tematyczne / Land surveillance

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Gotowa bibliografia na temat „Land surveillance”

Autor: Grafiati
Data publikacji: 3 czerwca 2025
Data aktualizacji: 22 czerwca 2025

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Artykuły w czasopismach na temat "Land surveillance"

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M.K, Rachana, Sindhu T.V, and Della Reasa Valiyaveetil. "Automatic Land surveillance System by Sketching Robot." International Journal of Electronics and Communication Engineering 3, no. 7 (2016): 20–25. http://dx.doi.org/10.14445/23488549/ijece-v3i7p105.

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Shepherd, Keith D., Gemma Shepherd, and Markus G. Walsh. "Land health surveillance and response: A framework for evidence-informed land management." Agricultural Systems 132 (January 2015): 93–106. http://dx.doi.org/10.1016/j.agsy.2014.09.002.

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Anggraini, Amallia. "Strategy For Preventing Forest and Land Fires in Belitung Regency." JESS (Journal of Education on Social Science) 1, no. 1 (2017): 18. http://dx.doi.org/10.24036/jess/vol1-iss1/7.

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The purpose of this study is to determine the behavior of society and other parties in managing forests and land as well as to formulate strategies to prevent forest and land fire in Belitung Islands Belitung province. This study uses a mixed method by combining descriptive method which is supported by AHP (Analytical Hierarchy Process). From the analysis that has been done, there are five policy priorities that can be applied as the policy strategies to prevent both forest and land fires in Belitung Regency, namely: 1) imposition of discipline the use of fire for land expansion, 2) Tightening surveillance, patrols and surveillance in vulnerable forest burning, 3) Socialization and elucidation to the society about the dangers of forest and land fires, 4) Develop training patterns of forest and land fire prevention, 5) Establish prone areas to fire.
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Shao, Zhenfeng, Congmin Li, Deren Li, Orhan Altan, Lei Zhang, and Lin Ding. "An Accurate Matching Method for Projecting Vector Data into Surveillance Video to Monitor and Protect Cultivated Land." ISPRS International Journal of Geo-Information 9, no. 7 (2020): 448. http://dx.doi.org/10.3390/ijgi9070448.

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The integration of intelligent video surveillance and GIS (geograhical information system) data provides a new opportunity for monitoring and protecting cultivated land. For a GIS-based video monitoring system, the prerequisite is to align the GIS data with video image. However, existing methods or systems have their own shortcomings when implemented in monitoring cultivated land. To address this problem, this paper aims to propose an accurate matching method for projecting vector data into surveillance video, considering the topographic characteristics of cultivated land in plain area. Once an adequate number of control points are identified from 2D (two-dimensional) GIS data and the selected reference video image, the alignment of 2D GIS data and PTZ (pan-tilt-zoom) video frames can be realized by automatic feature matching method. Based on the alignment results, we can easily identify the occurrence of farmland destruction by visually inspecting the image content covering the 2D vector area. Furthermore, a prototype of intelligent surveillance video system for cultivated land is constructed and several experiments are conducted to validate the proposed approach. Experimental results show that the proposed alignment methods can achieve a high accuracy and satisfy the requirements of cultivated land monitoring.
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Pang, Shaoning, Jing Zhao, Bruce Hartill, and Abdolhossein Sarrafzadeh. "Modelling land water composition scene for maritime traffic surveillance." International Journal of Applied Pattern Recognition 3, no. 4 (2016): 324. http://dx.doi.org/10.1504/ijapr.2016.082245.

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Zhao, Jing, Bruce Hartill, Abdolhossein Sarrafzadeh, and Shaoning Pang. "Modelling land water composition scene for maritime traffic surveillance." International Journal of Applied Pattern Recognition 3, no. 4 (2016): 324. http://dx.doi.org/10.1504/ijapr.2016.10002986.

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Ferguson, Brian. "Signal processing for acoustic surveillance of the land environment." Journal of the Acoustical Society of America 109, no. 5 (2001): 2298. http://dx.doi.org/10.1121/1.4744059.

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Masriyani, Masriyani. "Fungsi Badan Pertanahan Nasional Dalam Pengawasan Pejabat Pembuat Akta Tanah Di Kabupaten Tanjung Jabung Barat." Wajah Hukum 2, no. 1 (2018): 78. http://dx.doi.org/10.33087/wjh.v2i1.28.

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In the national land Agency Chief Regulation No.1 Year 2006 as modified by regulation the head of BPN number 23-year 2009 on implementation of the provisions of the Government Regulation Number 37 Year 1998, head of the Office of land do coaching and surveillance against a land deed official (PPAT). Starting on the dotted the legal basis and see the development as well as the needs of the ground then for the validity of the ownership of the land, should be are published through the certificate of property rights. For it is necessary supervision against the authorized officials as a PPAT in the deed of the land pembuatak. As for the problems in this research is how the functions of the national land Agency in the construction and supervision of land deed official Tanjung Jabung Barat region. The type of research that is in use is the empirical research. Data on use is the primary data and the data of skunder. Data collection was done through the research library and field research. The research describes the construction and supervision on Land against the head of the Office to do the task in Tanjung Jabung PPAT West, running as it should be in accordance with article 65 of the regulation of the Republic of Indonesia head of BPN No. 1 year 2006 regarding the implementation of the provisions of REGULATION No. 37 Year 1998 Of Regulations Office of the PPAT in coaching and supervision is quite optimal. It can be seen that for the year 2016 year 2017 until the violations perpetrated PPAT decreased. Surveillance against PPAT performed by the Head Office of land is to provide direction to all stakeholders associated with the PPAT's, conducting surveillance over the organisation of the profession of PPAT to keep running in accordance with the direction and the goal, run other actions deemed necessary to ensure the service of PPAT continue to run properly and to conduct surveillance against a PPAT and PPAT in order to run the code of ethics of the profession, the PPAT Tanjung Jabung West land in cooperation with the relevant parties especially the IPPAT code of ethics watchdogs and PPAT.
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P, Dr Srinivas Babu. "Implementation of Amphibious Robot for Wildlife Monitoring." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 2280–85. https://doi.org/10.22214/ijraset.2024.66202.

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This paper presents an amphibious robot designed for wildlife surveillance on land and environmental monitoring across both land and water. The system incorporates AI-driven technologies and integrated sensors for real-time data collection, including water quality parameters such as turbidity, TDS, and pH. Equipped with advanced surveillance capabilities and geofencing for boundary detection, the robot navigates autonomously in challenging terrains. Solar-powered operation ensures sustainability and cost efficiency. This innovative tool supports ecosystem health assessment and aids in environmental research and conservation efforts
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Adarsh, A., P. M. Pranav, C. R. Manjunath, and K. N. Soumya. "Fruit Farm Surveillance Using Drones." International Journal of Trend in Scientific Research and Development 2, no. 4 (2019): 351–57. https://doi.org/10.31142/ijtsrd12973.

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Monitoring all the farm activities manually takes a lot of time and is not efficient. In the recent days farmers spent a lot of time in providing quality results, but it is not 100 accurate. In other countries, the plantation area is much larger in size compared to India. In order to monitor, they've to hire more workers. Instead when the whole land is divided into parts, a drone can monitor each part by traversing from one end to the other. And the drone can be controlled by a single person sitting at any corner of the world. The drones have high resolution camera's fixed on it, which can scan the entire land for accurate results. These high resolution cameras can detect the percentage of fruitful plants and which aren't. Once this is detected, farmers can find alternate ways for the best results. Its hard to control the large plantation area manually, hence we use drones. To overcome this, drones can be used to find the percentage of fruitful infected plants using image processing. Its easier to find the percentile of plants which will provide fruits in the near future. This also helps to cover large areas, reduce manual work, and can be used to extract the required results. Drones can be used to avoid bird feasting in the plantation area. Adarsh A | Pranav P M | Manjunath C R | Soumya K N "Fruit Farm Surveillance Using Drones" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: https://www.ijtsrd.com/papers/ijtsrd12973.pdf
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Rozprawy doktorskie na temat "Land surveillance"

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Punpuing, Tith Lim Sureeporn. "Land and migration : a case study of Kanchanaburi DSS /." Abstract, 2003. http://mulinet3.li.mahidol.ac.th/thesis/2546/cd357/4538009.pdf.

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Nuebler, Noelle Katherine. "Empowerment of indigenous people in the regularization, surveillance, and protection of indigenous lands in the Brazilian Amazon." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0024882.

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Broch, Brantsæter Arne. "Evaluering av det norske BCG : vaksinasjonsprogrammet for ungdommer i et nordisk perspektiv." Thesis, Nordic School of Public Health NHV, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:norden:org:diva-3177.

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Mål: Å vurdere effekten av det norske BCG-vaksinasjonsprogrammet blant ungdommer ved(1) å vurdere om forskjeller i tuberkuloseepidemiologi i fire nordiske land er assosiert med forskjeller i bruk av BCG og (2) å estimere betydningen av BCG vaksinasjon blant ungdommer i Norge. Metode: Studieperioden var 1975-2005, med hovedvekt på 1996-2005. Artikler, overvåkingsrapporter, EuroTB-databasen og nasjonale tuberkuloseregistre var datakilder. Data fra EuroTB ble brukt til å beregne insidensrater for tilfeller rapportert som “born in country/national” i Norge, Sverige, Finland og Danmark. Data fra de norske og svenske tuberkuloseregistrene ble brukt til å beregne insidensrater for tilfeller som var født i de respektive land og som hadde foreldre som begge var født i et land med lav insidens av tuberkulose. Insidensrater for aldersgruppene 0-14 and 15-29 år ble sammenlignetHovedresultater: Fra 1975 til 2005 var det et fall i insidensrate i alle landene, mest uttalt i Finland. I 1996-2005 hadde Finland lavest insidensrate i aldergruppen 0-14 år, og Norge hadde lavest insidensrate i gruppen 15-29 år. Dette er forenlig med beskyttende effekt som følge av BCG-vaksinasjon av nyfødte i Finland og av 12-14-åringer i Norge. Vi estimerer at det norske BCG vaksinasjonsprogrammet blant ungdommer gir 61-64% beskyttelse i aldersgruppen 15-29 år. Om man forutsetter 50-80% beskyttelse, er det nødvendig med 14918 - 51409 vaksinasjoner for å forebygge ett tilfelle av tuberkulose. I 1996-2005 kan tidligere BCG-vaksinasjon blant ungdommer ha forebygget 1,2 – 3,9% av tilfeller av tuberkulose blant norskfødte, og 0,4 – 1,2% av totalt antall tilfeller. Konklusjoner: BCG-vaksinasjon av norske ungdommer med lav risiko for tuberkulose kan ha bidratt til redusert risiko for tuberkulose i en periode på 15 år etter vaksinering. Men et stort antall vaksinasjoner er nødvendig for å forebygge ett tilfelle.<br>Purpose: to assess the effectiveness of the Norwegian adolescent BCG vaccinationprogramme by (1)examining if differences in tuberculosis epidemiology in four Nordiccountries is associated with different use of BCG and (2) using evidence from this and paststudies on BCG efficacy to estimate the impact of vaccination in the present epidemiologicalsituation. Method: The study period was 1975-2005, with main focus on 1996-2005. Data sourceswere articles, surveillance reports, the EuroTB database, and national tuberculosis registers.EuroTB data were used to calculate incidence rates for cases reported as “born incountry/national” in Norway, Sweden, Finland and Denmark. Data from the Norwegian andSwedish tuberculosis registers were used to calculate incidence rates for cases that were born in the respective countries and that had parents who were both born in countries with low incidence of tuberculosis. Incidence rates in the age groups 0-14 and 15-29 years were compared. Main results: From 1975 to 2005 all countries experienced a reduction in incidence rates,most pronounced in Finland. During 1996-2005 Finland had the lowest incidence rate in the0-14 year age group, and Norway had the lowest incidence rate in the 15-29 year group. Thisis consistent with protection by BCG vaccination of newborns in Finland and of 12-14 yearolds in Norway. We estimated that the Norwegian adolescents BCG vaccination programme confers 61-64% protection in the age group 15-29 years. Assuming 50-80% protection, 14918 - 51 409 vaccinations are needed to prevent one case of tuberculosis. During 1996-2005,prior BCG vaccination of Norwegian teenagers may have prevented 1.2 - 3.9% of cases oftuberculosis among Norwegian-born and 0.4 - 1.2% of total cases. Conclusions: BCG vaccination of low-risk Norwegian adolescents may have contributed to reduced risk of tuberculosis for a period of 15 years after vaccination. However, a large number of vaccinations must be given in order to prevent one case of tuberculosis.<br><p>ISBN 978-91-85721-59-7</p>
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Rodrigues, Franco Coelho. "The tax territorial rural (ITR) how source of revenue municipal." Universidade Federal do CearÃ, 2012. http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=10178.

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nÃo hÃ<br>The Federal Government, giving efficacy to section III of  4 of art. 153 of the Federal Constitution enacted Law No. 11,250, of december 27, 2005, which provides that the Union, through an agreement, delegate responsibility for monitoring and collection for the Municipalities and the Federal District on the Rural Land Tax (ITR). By adhering to the agreement, the cities appropriated the entire revenue of ITR, paying, however, with the cost of administering them. Without membership, municipalities receive the transfer equivalent to 50% of the proceeds. This study aims to evaluate the potential of revenue collection ITR considering various scenarios of tax administration costs, serving as a resource for decision-making of the city manager about the adherence agreement with the Union For this, we used data agricultural census 2006 for 184 municipalities in the Cearà linear regression model of OLS. As a result, it was found that characteristics such as the Gini index, the total area of establishments (crop, pasture, woods and forests, agroforestry and so residual) value of goods and livestock area of influence on the collection of ITR. It is presented as a consequence, the potential revenue collection of the tax to municipalities on the basis of the Cearà cost scenarios considered.<br>O Governo Federal, dando eficÃcia ao inciso III do  4 do art. 153 da ConstituiÃÃo Federal, editou a Lei n 11.250, de 27 de dezembro de 2005, que prevà a possibilidade de a UniÃo, por meio de convÃnio, delegar competÃncia de fiscalizaÃÃo e arrecadaÃÃo para os MunicÃpios e o Distrito Federal, quanto ao Imposto Territorial Rural (ITR). Ao aderirem ao convÃnio, os municÃpios apropriam a totalidade da receita de ITR, arcando, porÃm, com os custos de administrÃ-los. Sem a adesÃo, os municÃpios recebem o repasse equivalente a 50% do arrecadado. Este trabalho tem como objetivo avaliar o potencial arrecadatÃrio do ITR, considerando diversos cenÃrios de custos de administraÃÃo do tributo, servindo como subsÃdio para a tomada de decisÃo do gestor municipal acerca da adesÃo ao convÃnio com a UniÃo. Para tanto, utilizou-se dados do Censo AgropecuÃrio 2006, para os 184 municÃpios Cearenses, em modelo de regressÃo linear de mÃnimos quadrados ordinÃrios. Como resultado, constatou-se que caracterÃsticas como o Ãndice de Gini, a Ãrea total dos estabelecimentos (lavoura, pastagem, matas e florestas, sistema agroflorestal e de forma residual), valor dos bens e Ãrea de produÃÃo animal exercem influÃncia sobre a arrecadaÃÃo do ITR. Apresenta-se, como consequÃncia, o potencial arrecadatÃrio do tributo para os municÃpios Cearenses em funÃÃo dos cenÃrios de custos considerados.
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Brochu, Elizabeth A. "Mosquito Abundance and West Nile Virus in Cuyahoga County, 2005 - 2016." The Ohio State University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=osu1515138053914272.

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Popattanachai, Naporn. "Regional cooperation addressing marine pollution from land-based activities : an interpretation of Article 207 of the Law of the Sea Convention focusing on monitoring, assessment, and surveillance of the pollution." Thesis, Nottingham Trent University, 2018. http://irep.ntu.ac.uk/id/eprint/33374/.

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Marine Pollution from Land-based Activities (MPLA) has long been recognised as being the biggest contributor to the deterioration of the marine environment. Despite the recognition, this source of pollution remains largely unregulated. The United Nations Convention on the Law of the Sea (LOSC) is the only international agreement that regulates MPLA at the global level. However, Article 207 of the LOSC requiring States to prevent, reduce, and control MPLA has been criticised for its lack of clarity and cannot guide States’ action to fulfil their obligation. This research picks up from this ambiguity and tries to clarify the substance of Article 207 of the LOSC. It specifically focuses on the regional aspect of this provision. The question of this research is 'how and to what extent should States act at the regional level to fulfil their obligation under Article 207 of the LOSC.' In so doing, it answers the question through the lens of treaty interpretation showing what the possible interpretations are and how States have interpreted Article 207 of the LOSC from their subsequent practice both at global and regional levels. To fulfil this obligation at the regional level, States have interpreted Article 207 of the LOSC as a single combined obligation treating the obligations to prevent, reduce, and control MPLA collectively. Besides, when applying at the regional level, the obligation to prevent, reduce, and control MPLA comprises four key components. In particular, at the regional level, monitoring, assessment, and surveillance of MPLA have been developed to varying degrees to be part of the regional aspect of this obligation. Monitoring and assessment of MPLA are essential and can be part of the obligation, whereas surveillance of MPLA remains to be further developed.
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Ndikumana, Emile. "Etude de la végétation à partir de nouveaux capteurs satellitaires radar." Electronic Thesis or Diss., Paris, AgroParisTech, 2018. http://www.theses.fr/2018AGPT0010.

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Dans cette thèse, nous nous intéressons à la manière dont les images SAR peuvent être utilisées pour étudier la végétation. La végétation est au coeur de la vie humaine en fournissant à la fois des ressources alimentaires, financières et en participant à la régulation du climat. Traditionnellement, la végétation est classée en trois catégories: les champs, les prairies irriguées et les forêts. Nous utiliserons ces trois catégories dans notre étude.Les travaux de cette thèse s’articulent autour de trois axes : (1) la cartographie de l’occupation du sol, (2) l’estimation des paramètres biophysiques du riz en Camargue à partir des images satellitaires Sentinel-1 (bande C) et enfin (3), la cartographie de la biomasse forestière à Madagascar à partir des données radar ALOS/PALSAR (bande L) combinées avec des données tree cover calculées à partir des donnéesoptiques Landsat.L’objectif de la première partie est de fournir une meilleure compréhension du potentiel des images radar Sentinel-1 (bande C) pour cartographier l’occupation du sol à l’aide des techniques d’apprentissage en profondeur. Nous avons obtenu de bons résultats avec la "F-Measure/Accuracy" supérieure à 86% et le meilleur coefficient Kappa de plus de 0,82. Nous avons constaté que les résultats des deux classificateurs basés sur les réseaux neuronaux récurrents profonds (RNN) dépassaient clairement les approches classiques de Machine Learning.Dans la seconde partie, l’objectif est d’étudier la capacité des images radar multitemporelles pour l’estimation de la hauteur du riz et de la biomasse sèche à l’aide des données Sentinel-1.Pour ce faire, nous avons utilisé les données de Sentinel-1 en appliquant des techniques classiques d’apprentissage de "Machine Learning" (MLR, SVR et RF) pour estimer la hauteur du riz et la biomasse sèche. L’erreur de l’estimation de la hauteur du riz est de 16% (7.9 cm), et celle la biomasse est de 18% (162 g¢m¡2) (les deux avec la méthode Random Forest). Ces résultats indiquent que les données radar Sentinel-1 pourraient être exploitées pour la récupération de la biomasse et pourraient être utilisées pour des tâches opérationnelles.Enfin, la réduction des émissions de carbone dues à la déforestation nécessite un aperçu de la façon dont la forêt de biomasse est mesurée et distribuée. Nous utilisons des observations du radar satellitaire ALOS/PALSAR (résolution de 25 m) et des données optiques du capteur Landsat (résolution de 30 m) pour estimer les stocks de biomasse forestière à Madagascar, pour les années 2007-2010. Le signal radar et la biomasse in situ étaient fortement corrélés (R² =0,71) et l’erreur quadratique moyenne était de 30% (pour la biomasse allant de 0 à 500 t/ha). Le signal radar (données SAR en bande L) combiné avec les données optiques semblent être une approche prometteuse pour cartographier la biomasse forestière (et donc du carbone) à de larges échelles géographiques<br>In this thesis, we focus on how SAR images can be used to study vegetation. Vegetation lies at the core of human lives by providing both food and economic resources as well as participating in regulating climate. Traditionally, vegetation is classified into three categories: fields, flooded pastures, and forests. We follow this classification in our study. To tackle the first two, we chose to explore rice (in Camargue, France) since rice fields are initially flooded pastures and turn to fields when more mature. We illustrate the last category with forests in Madagascar.The aim of the first part is to provide a better understanding of the capabilities of Sentinel-1 radar images for agricultural land cover mapping through the use of deep learning techniques. We revealed that even with classical machine learning approaches (K nearest neighbors, random forest and support vector machines), good performance classification could be achieved with F-measure/Accuracy greater than 86% and Kappa coefficient better than 0.82. We found that the results of the two deep recurrent neural network (RNN)-based classifiers clearly outperformed the classical approaches.In the second part, the objective is to study the capabilities of multitemporal radar images for rice height and dry biomass retrievals using Sentinel-1 data. To do this, we train Sentinel-1 data against ground measurements with classical machine learning techniques (Multiple Linear Regression (MLR), Support Vector Regression (SVR) and Random Forest (RF)) to estimate rice height and dry biomass. The study is carried out on the same multitemporal Sentinel-1 dataset in the first part. The error of rice height estimation was 16% (7.9 cm), whereas the biomass was 18% (162 g¢m¡2) (both with Random Forest method). Such results indicate that the highly qualified Sentinel-1 radar data could be well exploited for rice biomass and height retrieval and they could be used for operational tasks.Finally, reducing carbon emissions from deforestation and degradation (REDD) requires detailed insight into how the forest biomass is measured and distributed. Studies so far haveestimated forest biomass stocks using rough assumptions and unreliable data. We aim to improve on previous approaches by using radar satellite ALOS PALSAR (25-m resolution) and optical Landsat-derived tree cover (30-m resolution) observations to estimate forest biomass stocks in Madagascar, for the years 2007-2010. The radar signal and in situ biomass were highly correlated (R2 = 0.71) and the root mean square error was 30% (for biomass ranging from 0 to 500 t/ha). Combining radar signal with optical tree cover data appears to be a promising approach for using by L-band SAR to map forest biomass (and hence carbon) over broad geographical scales
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Tenhovaara, Taru. "Transferring Big Data to the United States in the Post Snowden Era : Can the Fundamental Rights of EU citizens laid down in Articles 7,8 and 47 of the Charter be guaranteed?" Thesis, Stockholms universitet, Juridiska institutionen, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-159827.

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Le, Borgne Yann-Aël. "Learning in wireless sensor networks for energy-efficient environmental monitoring." Doctoral thesis, Universite Libre de Bruxelles, 2009. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210334.

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Wireless sensor networks form an emerging class of computing devices capable of observing the world with an unprecedented resolution, and promise to provide a revolutionary instrument for environmental monitoring. Such a network is composed of a collection of battery-operated wireless sensors, or sensor nodes, each of which is equipped with sensing, processing and wireless communication capabilities. Thanks to advances in microelectronics and wireless technologies, wireless sensors are small in size, and can be deployed at low cost over different kinds of environments in order to monitor both over space and time the variations of physical quantities such as temperature, humidity, light, or sound. <p><p>In environmental monitoring studies, many applications are expected to run unattended for months or years. Sensor nodes are however constrained by limited resources, particularly in terms of energy. Since communication is one order of magnitude more energy-consuming than processing, the design of data collection schemes that limit the amount of transmitted data is therefore recognized as a central issue for wireless sensor networks.<p><p>An efficient way to address this challenge is to approximate, by means of mathematical models, the evolution of the measurements taken by sensors over space and/or time. Indeed, whenever a mathematical model may be used in place of the true measurements, significant gains in communications may be obtained by only transmitting the parameters of the model instead of the set of real measurements. Since in most cases there is little or no a priori information about the variations taken by sensor measurements, the models must be identified in an automated manner. This calls for the use of machine learning techniques, which allow to model the variations of future measurements on the basis of past measurements.<p><p>This thesis brings two main contributions to the use of learning techniques in a sensor network. First, we propose an approach which combines time series prediction and model selection for reducing the amount of communication. The rationale of this approach, called adaptive model selection, is to let the sensors determine in an automated manner a prediction model that does not only fits their measurements, but that also reduces the amount of transmitted data. <p><p>The second main contribution is the design of a distributed approach for modeling sensed data, based on the principal component analysis (PCA). The proposed method allows to transform along a routing tree the measurements taken in such a way that (i) most of the variability in the measurements is retained, and (ii) the network load sustained by sensor nodes is reduced and more evenly distributed, which in turn extends the overall network lifetime. The framework can be seen as a truly distributed approach for the principal component analysis, and finds applications not only for approximated data collection tasks, but also for event detection or recognition tasks. <p><p>/<p><p>Les réseaux de capteurs sans fil forment une nouvelle famille de systèmes informatiques permettant d'observer le monde avec une résolution sans précédent. En particulier, ces systèmes promettent de révolutionner le domaine de l'étude environnementale. Un tel réseau est composé d'un ensemble de capteurs sans fil, ou unités sensorielles, capables de collecter, traiter, et transmettre de l'information. Grâce aux avancées dans les domaines de la microélectronique et des technologies sans fil, ces systèmes sont à la fois peu volumineux et peu coûteux. Ceci permet leurs deploiements dans différents types d'environnements, afin d'observer l'évolution dans le temps et l'espace de quantités physiques telles que la température, l'humidité, la lumière ou le son.<p><p>Dans le domaine de l'étude environnementale, les systèmes de prise de mesures doivent souvent fonctionner de manière autonome pendant plusieurs mois ou plusieurs années. Les capteurs sans fil ont cependant des ressources limitées, particulièrement en terme d'énergie. Les communications radios étant d'un ordre de grandeur plus coûteuses en énergie que l'utilisation du processeur, la conception de méthodes de collecte de données limitant la transmission de données est devenue l'un des principaux défis soulevés par cette technologie. <p><p>Ce défi peut être abordé de manière efficace par l'utilisation de modèles mathématiques modélisant l'évolution spatiotemporelle des mesures prises par les capteurs. En effet, si un tel modèle peut être utilisé à la place des mesures, d'importants gains en communications peuvent être obtenus en utilisant les paramètres du modèle comme substitut des mesures. Cependant, dans la majorité des cas, peu ou aucune information sur la nature des mesures prises par les capteurs ne sont disponibles, et donc aucun modèle ne peut être a priori défini. Dans ces cas, les techniques issues du domaine de l'apprentissage machine sont particulièrement appropriées. Ces techniques ont pour but de créer ces modèles de façon autonome, en anticipant les mesures à venir sur la base des mesures passées. <p><p>Dans cette thèse, deux contributions sont principalement apportées permettant l'applica-tion de techniques d'apprentissage machine dans le domaine des réseaux de capteurs sans fil. Premièrement, nous proposons une approche qui combine la prédiction de série temporelle avec la sélection de modèles afin de réduire la communication. La logique de cette approche, appelée sélection de modèle adaptive, est de permettre aux unités sensorielles de determiner de manière autonome un modèle de prédiction qui anticipe correctement leurs mesures, tout en réduisant l'utilisation de leur radio.<p><p>Deuxièmement, nous avons conçu une méthode permettant de modéliser de façon distribuée les mesures collectées, qui se base sur l'analyse en composantes principales (ACP). La méthode permet de transformer les mesures le long d'un arbre de routage, de façon à ce que (i) la majeure partie des variations dans les mesures des capteurs soient conservées, et (ii) la charge réseau soit réduite et mieux distribuée, ce qui permet d'augmenter également la durée de vie du réseau. L'approche proposée permet de véritablement distribuer l'ACP, et peut être utilisée pour des applications impliquant la collecte de données, mais également pour la détection ou la classification d'événements. <p><br>Doctorat en Sciences<br>info:eu-repo/semantics/nonPublished
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Lee, Chung-Lin, and 李宗霖. "Effectiveness of Adopting Mixed Land‐Use Strategy on Theft Crime Rates based on Natural Surveillance Concept under Crime Prevention through Environmental Design - Case Study of Taipei Beitou District." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/56687520341519644953.

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碩士<br>中國文化大學<br>景觀學系<br>101<br>Since the Industrial Revolution, urbanization and population sprawl have moved residential areas toward suburban, resulting in higher crime rate at central business centers in the night. Situational Crime Prevention Theory including the strategy of Crime Prevention through Environmental Design was developed by experts and researchers in the U.S. to reduce crime rate, through increasing access control and providing natural surveillance by mixing various activities. However, this strategy has not been examined in Taiwan, where most urbanized areas are mixed residential area with commercial and retail. Therefore, this research aims at evaluating the effectiveness of natural surveillance under mixed land‐use for minimizing larceny occurrence. Evidence based on geographic hot‐spot and statistical analyses shows that 24 hour operation stores such as 7‐eleven, self‐service laundry, and police station are not associated with lower larceny rate, due to natural surveillance ineffective during night. However, the more the stores of dressing, sewing, pharmacy, jewelry, watch smith, motorcycle selling and repairing, and parking lots, the lower the larceny occurrence. It is possible associated with the effectiveness of natural surveillance based on routine operation hours preventing larceny from happening in the date. On the contrary, the more the clinics, beauty shops, real estates, and after school care centers, the higher the larceny occurrence. It is possible relating to indoor oriented activities irrelevant to outdoor natural surveillance.
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Książki na temat "Land surveillance"

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Schäfer, Olaf. Draft protocol on sensor verification: Proposal for a legal framework for the use of ground sensors to verify limits on military land and air vehicles. UVB Universitätsverlag Dr. N. Brockmeyer, 1993.

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E, Camann D., and Health Effects Research Laboratory (Research Triangle Park, N.C.), eds. The Lubbock land treatment system research and demonstration project: Volume IV, Lubbock infection surveillance study (LISS). U.S. Environmental Protection Agency, Health Effects Research Laboratory, 1986.

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Federal/Provincial/Territorial Advisory Committee on Canada's National Programme of Action for the Protection of the Marine Environment from Land-based Activities. Canada's National Programme of Action for the Protection of the Marine Environment from Land-based Activities (NPA). Send orders to Environmental Protection Publications, Environmental Technology Advancement Directorate, Environment Canada], 2000.

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Office, United States Government Accountability. Defense acquisitions: Greater synergies possible for DOD's intelligence, surveillance, and reconnaissance systems : report to the Subcommittee on Air and Land Forces, Committee on Armed Services, House of Representatives. U.S. Government Accountability Office, 2007.

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Federal/Provincial/Territorial Advisory Committee on Canada's National Programme of Action for the Protection of the Marine Environment from Land-based Activities. Implementing Canada's National Programme of Action for the Protection of the Marine Environment from Land-based Activities: National report to the 2001 Intergovernmental Review Meeting on Implementation of the Global Programme of Action. [Environment Canada], 2001.

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Hicks, James N. Gas deliverability and flow capacity of surveillance gas fields in Louisiana and Texas Federal Offshore Areas. Energy Information Administration, Office of Oil and Gas, 1986.

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Subcommittee, United States Congress House Committee on Armed Services Tactical Air and Land Forces. Hearing on National Defense Authorization Act for Fiscal Year 2007 and previously authorized programs before the Committee on Armed Services, House of Representatives, One Hundred Ninth Congress, second session: Tactical Air and Land Forces Subcommittee hearing on budget request : unmanned aerial vehicles and intelligence, surveillance, and reconnaissance capabilities, hearing held, April 6, 2006. U.S. G.P.O., 2007.

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Diffie, Whitfield. Privacy on the line: The politics of wiretapping and encryption. MIT Press, 2007.

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1957-, Renner Michael, Flavin Christopher, Starke Linda, and Worldwatch Institute, eds. Vital signs, 1997-1998: The environmental trends that are changing our future. Earthscan, 1997.

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Eva, Landau Susan, ed. Privacy on the line: The politics of wiretapping and encryption. MIT Press, 1998.

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Części książek na temat "Land surveillance"

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Vågen, Tor-Gunnar, Finn A. Davey, and Keith D. Shepherd. "Land Health Surveillance: Mapping Soil Carbon in Kenyan Rangelands." In Agroforestry - The Future of Global Land Use. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4676-3_22.

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Guest, Harriet. "Suspicious Minds: Spies and Surveillance in Charlotte Smith’s Novels of the 1790s." In Land, Nation and Culture, 1740–1840. Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230502048_9.

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Sprońska, Agnieszka, Jakub Główka, Mateusz Maciaś, and Tomasz Rokosz. "TALOS – Mobile Surveillance System for Land Borders and Large Areas." In Recent Advances in Automation, Robotics and Measuring Techniques. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05353-0_45.

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Gallo, Pierluigi, Uy Quoc Nguyen, Suporn Pongnumkul, and Giorgia Barone. "Blockchain for Smart Cities: Applications for IoT and Video Surveillance Systems." In Innovations in Land, Water and Energy for Vietnam’s Sustainable Development. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51260-6_16.

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Kolovos, Alexander. "Space-Based Capabilities for Internal Security Operations: A Critical Assessment of the Case of Land Border Surveillance." In Yearbook on Space Policy. Springer Vienna, 2013. http://dx.doi.org/10.1007/978-3-7091-1363-9_6.

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Butt, Amna. "Geospatial Surveillance of Vicissitudes Observed in the Land Surface Temperature of the Federal Capital of Pakistan Over Three Decades." In Climate Change Management. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-28728-2_11.

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Orsini, Giuseppe, and Giuseppe Piras. "Digital Construction and Management the Public’s Infrastructures." In The Urban Book Series. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29515-7_10.

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AbstractThe purpose of the present paper “Digital construction and management the public’s infrastructures” is to propose an interconnected development approach, in the management of public infrastructure asset, that through of digital modeling (BIM*) and interoperability provides tools to support decision-making processes. In detail, this work analyzes the innovative process of developing digital tools for the institutional tasks of supervision and support for the management of land transport infrastructure in the Italian national system. Therefore, trough of one assumed a georeferenced network of “digital twins” have been valued the scenarios obtainable whit the digitalization of the public works and of the territory’s surveys. The principles for managing information flows for Italian’s public transport infrastructures have been developed in accordance with national legislation and the reference UNI standards. The assumed flow is on the exchange of data between the managing subjects with the owners’ authorities and surveillance bodies, taking as pivot element the Index public work (IOP) code attributed to each public work. Finally, a conceptual model has been proposed for the energy analysis of the road section and the identification of the best areas to create the “green islands” to produce renewable energy, for the management of infrastructure and for the recharging of electric vehicles.
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Cortada, Laura. "Technologies for integrated nematode management in smallholder farming systems: no one-size-fits-all." In Integrated nematode management: state-of-the-art and visions for the future. CABI, 2021. http://dx.doi.org/10.1079/9781789247541.0063.

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Abstract In this chapter, the need to take a more critical look at the highly precarious and vulnerable situation of smallholder farming systems, the predominant type of the agricultural output worldwide, is emphasized. These farmers represent 98% of the farmers in the world that sustain the local production of staple crops such as rice, maize, cassava, groundnut and millet. Although there is some disparity in the figures, recent data estimates that there are between 380 and 500 million smallholder farming households globally. The productivity of the smallholders' farms depends on soil health and quality, agroecological conditions (irrigated versus rainfed), access to agricultural inputs and new technologies. These last two also critically influence smallholders' ability to manage pests and diseases, including plant parasitic nematodes (PPN). This chapter discusses the epidemiological perspective, diagnostics and surveillance, alternate host and in-field spread of PPN. Breeding programmes for PPN resistance, seed delivery system, importance of clean planting material, influence of land availability to smallholders' ability to practice fallow and rotation for nematode management are described. The use of trap crops, cover crops, nematicides and biological control agents for nematode suppression are also discussed. Future developments aimed at promoting the progress of smallholder farming systems are also mentioned.
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Min, Fanlei, Guan Wang, Liantao Wang, and Jing Liu. "Automatic Lane Recognition for Surveillance at Road Intersections." In Emerging Trends in Intelligent and Interactive Systems and Applications. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-63784-2_93.

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Venette, Robert C., Doria R. Gordon, Jennifer Juzwik, et al. "Early Intervention Strategies for Invasive Species Management: Connections Between Risk Assessment, Prevention Efforts, Eradication, and Other Rapid Responses." In Invasive Species in Forests and Rangelands of the United States. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45367-1_6.

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AbstractManaging invasive species becomes increasingly difficult and expensive as populations of new pathogens, plants, insects, and other animals (i.e., pests) spread and reach high densities. Research over the past decade confirms the value of early intervention strategies intended to (1) prevent invasive species from arriving within an endangered area or (2) detect and respond quickly to new species incursions (Baker et al. 2009; Ewel et al. 1999; Holden et al. 2016; Leung et al. 2014). The goal of such biosecurity approaches is to keep or return the density of invasive species to zero so that damages from those pests might be prevented or to confine populations to localized areas so that damage from those species might be limited (Magarey et al. 2009). Prediction, prevention, early detection, eradication, and other rapid responses, all components of proactive management, are less costly and more effective than reactive tactics (Epanchin-Niell and Liebhold 2015; Leung et al. 2002; Lodge et al. 2006; Rout et al. 2014) (Fig. 6.1). Prediction is achieved through risk assessment (a process to forecast the likelihood and consequence of an invasion) and pathway analysis (a process to evaluate the means by which invasive species might be brought into an area of concern). Prevention is achieved through a variety of measures including regulations and quarantine treatments. Indeed, pathway analyses and subsequent regulation of those pathways are considered “the frontline in the prevention of biological invasions” (Hulme 2009) and cost-effective approaches (Essl et al. 2015; Keller et al. 2007; Leung et al. 2002; Tidbury et al. 2016). Surveillance is fundamental to early detection, and if a target species is detected, the primary rapid responses are eradication, containment, or suppression (reviewed in Beric and MacIsaac 2015). Early intervention strategies often operate at spatial scales that are much greater than the scale at which most land managers operate. Success thus requires effective coordination among researchers, regulators, and managers at international, national, sub-national, and local levels.
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Streszczenia konferencji na temat "Land surveillance"

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Manoharan, L., Pallavi Singh, V. Vasanth Kumar, Rajat Kumar Dwibedi, Mohammed Adhil, and S. Santhosh Priyan. "Robotic Surveillance Monitoring for Land and Underwater Security." In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2024. http://dx.doi.org/10.1109/icesc60852.2024.10690073.

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N R, Pallavi, Akanksh G S, Akash K, Bharghavi S H, and Meghana R. "Robotic Military Surveillance using Metal Detector for Land Mine Bomb Detection." In 2024 Second International Conference on Advances in Information Technology (ICAIT). IEEE, 2024. http://dx.doi.org/10.1109/icait61638.2024.10690688.

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Uppalapati, Keshav Raju, and Gagninder Kaur. "Aerial Surveillance Land Classification using Global Sum Pooling in CNNs: A Study on EuroSAT Dataset." In 2024 IEEE 4th International Conference on ICT in Business Industry & Government (ICTBIG). IEEE, 2024. https://doi.org/10.1109/ictbig64922.2024.10911363.

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Wu, Jingyi, Jun Jing, Zeyong Zhao, et al. "RevPv8: Reverse Information for Road Space and Lane Line Segmentation in Highway Surveillance Scene." In ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2025. https://doi.org/10.1109/icassp49660.2025.10889465.

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Yu, Weilei, and Mayuko Nishio. "Recognition of Vehicle Statistics of Random Traffic Flow by Deep- Learning for Live-load Performance Evaluation of Existing Bridges." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.1710.

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&lt;p&gt;The stochastic nature of traffic flow poses great challenges and research opportunities for traffic engineering and infrastructure management. This study proposes a method that combines the YOLOv8 target detection model and the DeepSORT multi-target tracking algorithm to analyze stochastic traffic flow using high-resolution bridge video surveillance. The method accurately identifies and quantifies vehicle type, axle count, and traffic flow. A case study on an actual bridge demonstrates the applicability of the method in a multi-lane traffic environment. The analysis of 24- hour video data achieved over 93% vehicle identification accuracy, providing comprehensive insights into the characterization and distribution of vehicle traffic. These results provide a data base for traffic management and structural health monitoring of bridges.&lt;/p&gt;
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Ayhan, Samet, and Ian Wilson. "Most suitable airport to land API on the cloud." In 2018 Integrated Communications, Navigation, Surveillance Conference (ICNS). IEEE, 2018. http://dx.doi.org/10.1109/icnsurv.2018.8384879.

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Ayhan, Samet. "Most suitable airport to land API on the cloud." In 2018 Integrated Communications, Navigation, Surveillance Conference (ICNS). IEEE, 2018. http://dx.doi.org/10.1109/icnsurv.2018.8384969.

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Turbide, Simon, Linda Marchese, Marc Terroux, and Alain Bergeron. "Investigation of synthetic aperture ladar for land surveillance applications." In SPIE Security + Defence, edited by Gary W. Kamerman, Ove K. Steinvall, Gary J. Bishop, and John D. Gonglewski. SPIE, 2013. http://dx.doi.org/10.1117/12.2029829.

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Alagoz, Yusuf, Osman Karabayir та Ahmet Fatih Mustacoglu. "Target Classification Using YOLOv2 in Land-Based Marine Surveillance Radar". У 2020 28th Signal Processing and Communications Applications Conference (SIU). IEEE, 2020. http://dx.doi.org/10.1109/siu49456.2020.9302029.

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Shahnoor, Shaikh F., Kishanlal Suthar, Ravi Kumar, Manish Rathore, Rajashekhar C. Biradar, and Kartik Cholachgudda. "AI-driven Real-time System for Land Surveillance and Reconnaissance." In IC3-2022: 2022 Fourteenth International Conference on Contemporary Computing. ACM, 2022. http://dx.doi.org/10.1145/3549206.3549273.

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Raporty organizacyjne na temat "Land surveillance"

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Beedy, Tracy, Joyce Njoloma, Ermias Aynekulu, Richard Coe, Bertin Takoutsing, and Keith Shepherd. Land health surveillance for four sites in Malawi. World Agroforestry Centre, 2015. http://dx.doi.org/10.5716/wp14254.pdf.

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Takousting, Bertin A., Betemariam Ermias Aynekulu, Zac Tchoundjeu, Richard Coe, D. Nna, and Keith D. Shepherd. Land health surveillance for identifying land constraints and targeting agroforestry intervention in smallholder farming systems in Western Cameroon. World Agroforestry Centre (ICRAF), 2015. http://dx.doi.org/10.5716/wp14253.pdf.

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Leibman, Christopher P., Crystal G. Densmore, David V. Martinez, and David Dogruel. Gas analysis for LANL weapons surveillance. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1123787.

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Abes, Jeff. Surveillance Metrics at LANL: An Overview. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1154973.

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Kelly, Elizabeth J., Paul Herrick Smith, Douglas K. Veirs, et al. LANL SAVY-4000 Field Surveillance Plan. Office of Scientific and Technical Information (OSTI), 2013. http://dx.doi.org/10.2172/1060365.

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Jones, Lee, Jenny Powers, and Stephen Sweeney. Department of the Interior: History and status of bison health. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2280100.

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The North American plains bison once numbered in the tens of millions, but only around 1,000 individuals remained by the late 1800s. Through the actions of private individuals and organizations, the establishment of a few protected, federally managed, herds saved the subspecies from extinction and today the Department of the Interior (DOI) supports ap-proximately 11,000 plains bison in 19 herds across 12 states. DOI chartered the Bison Conservation Initiative in 2008, which established a framework for bison conservation and restoration on appropriate lands within the species’ histori-cal range. With the recent announcement of the 2020 DOI Bison Conservation Initiative, DOI outlined a diverse range of accomplishments made under the 2008 Initiative and re-affirmed the commitment to work with partners in support of managing bison as native wildlife. Both the 2008 and 2020 DOI Bison Conservation Initiatives endorse a holistic approach, addressing health and genetic considerations, and recommend managing DOI bison herds together as a metapopulation to conserve genetic diversity by restoring gene flow. Bison conservation and restoration efforts must consider the significance of disease in bison herds and apply a multi-jurisdictional, multi-stakeholder approach to the management of bison on large landscapes. Robust herd health surveillance programs, both in the donor and recipient herds, along with strong partnerships and communication, are needed to protect the century-long success of DOI bison conservation and stewardship. This report discusses overarching principles affecting bison health decisions in DOI herds and provides detailed baseline herd health history and management, providing a foundation upon which the 2020 Bison Conservation Initiative vision for DOI bison stewardship can be realized.
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