Bibliografías temáticas / Geographical authentication

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Literatura académica sobre el tema "Geographical authentication"

Autor: Grafiati

Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Geographical authentication"

Katerinopoulou, Katerina, Achilleas Kontogeorgos, Constantinos E. Salmas, Angelos Patakas y Athanasios Ladavos. "Geographical Origin Authentication of Agri-Food Products: A Review". Foods 9, n.º 4 (13 de abril de 2020): 489. http://dx.doi.org/10.3390/foods9040489.

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This study is a systematic literature review of geographical origin authentication by elemental analytical techniques. Authentication and certification of geographic origin of agri-food products is a useful tool toward the protection of the quality for products. The aim of this work was to map the current state of research in the area of agricultural products and food, identifying emerging fields to the geographical origin of products. The article is divided in three parts. The first part of the article deals with the analytical techniques applied in the food authentication. Special mention is made to elemental analysis and multiple isotope ratio. The second section focuses on statistically published data concerning published research for geographical origin authentication for the period 2015–2019. Specific results are presented inter alia: number of articles according to the type of product, articles according to the type of the analytical techniques, and others. The third part contains characteristic results from articles that were published in the period 2015–2019, on certification of geographical origin on specific agricultural products.

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Cardin, Marco, Barbara Cardazzo, Jérôme Mounier, Enrico Novelli, Monika Coton y Emmanuel Coton. "Authenticity and Typicity of Traditional Cheeses: A Review on Geographical Origin Authentication Methods". Foods 11, n.º 21 (26 de octubre de 2022): 3379. http://dx.doi.org/10.3390/foods11213379.

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Food fraud, corresponding to any intentional action to deceive purchasers and gain an undue economical advantage, is estimated to result in a 10 to 65 billion US dollars/year economical cost worldwide. Dairy products, such as cheese, in particular cheeses with protected land- and tradition-related labels, have been listed as among the most impacted as consumers are ready to pay a premium price for traditional and typical products. In this context, efficient food authentication methods are needed to counteract current and emerging frauds. This review reports the available authentication methods, either chemical, physical, or DNA-based methods, currently used for origin authentication, highlighting their principle, reported application to cheese geographical origin authentication, performance, and respective advantages and limits. Isotope and elemental fingerprinting showed consistent accuracy in origin authentication. Other chemical and physical methods, such as near-infrared spectroscopy and nuclear magnetic resonance, require more studies and larger sampling to assess their discriminative power. Emerging DNA-based methods, such as metabarcoding, showed good potential for origin authentication. However, metagenomics, providing a more in-depth view of the cheese microbiota (up to the strain level), but also the combination of methods relying on different targets, can be of interest for this field.

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Fechner, Diana C., Melisa J. Hidalgo, Juan D. Ruiz Díaz, Raúl A. Gil y Roberto G. Pellerano. "Geographical origin authentication of honey produced in Argentina". Food Bioscience 33 (febrero de 2020): 100483. http://dx.doi.org/10.1016/j.fbio.2019.100483.

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Uttl, Leos, Kamila Hurkova, Vladimir Kocourek, Jana Pulkrabova, Monika Tomaniova y Jana Hajslova. "Metabolomics-based authentication of wines according to grape variety". Czech Journal of Food Sciences 37, No. 4 (23 de agosto de 2019): 239–45. http://dx.doi.org/10.17221/82/2019-cjfs.

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In 2008, the European Commission highlighted the risk of wine mislabelling regarding the geographical origin and varietal identification. While analytical methods for the identification of wine by geographical origin exist, a reliable strategy for authentication of wine variety is still missing. Here, we investigate the suitability of the metabolomic fingerprinting of ethyl acetate wine extracts, using ultra-high-performance liquid chromatography coupled to high-resolution tandem mass spectrometry. In total, 43 white wine samples (three varieties) were analysed within our study. The generated data were processed by principal component analysis and then by partial least squares discriminant analysis. The resulting statistical models were validated and assessed according to their R2 (cum) and Q2 (cum) parameters. The most promising models were based on positive ionisation data, enabling successful classification of 92% of wine samples.

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Won, Eun-Ji, Seung Hee Kim, Young-Shin Go, K. Suresh Kumar, Min-Seob Kim, Suk-Hee Yoon, Germain Bayon, Jung-Hyun Kim y Kyung-Hoon Shin. "A Multi-Elements Isotope Approach to Assess the Geographic Provenance of Manila Clams (Ruditapes philippinarum) via Recombining Appropriate Elements". Foods 10, n.º 3 (18 de marzo de 2021): 646. http://dx.doi.org/10.3390/foods10030646.

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The increasing global consumption of seafood has led to increased trade among nations, accompanied by mislabeling and fraudulent practices that have rendered authentication crucial. The multi-isotope ratio analysis is considered as applicable tool for evaluating geographical authentications but requires information and experience to select target elements such as isotopes, through a distinction method based on differences in habitat and physiology due to origin. The present study examined recombination conditions of multi-elements that facilitated geographically distinct classifications of the clams to sort out appropriate elements. Briefly, linear discriminant analysis (LDA) analysis was performed according to several combinations of five stable isotopes (carbon (δ13C), nitrogen (δ15N), oxygen (δ18O), hydrogen (δD), and sulfur (δ34S)) and two radiogenic elements (strontium (87Sr/86Sr) and neodymium (143Nd/144Nd)), and the geographical classification results of the Manila clam Ruditapes philippinarum from Democratic People’s Republic of Korea (DPR Korea), Korea and China were compared. In conclusion, linear discriminant analysis (LDA) with at least four elements (C, N, O, and S) including S revealed a remarkable cluster distribution of the clams. These findings expanded the application of systematic multi-elements analyses, including stable and radiogenic isotopes, to trace the origins of R. philippinarum collected from the Korea, China, and DPR Korea.

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Sentellas, Sonia y Javier Saurina. "Authentication of Cocoa Products Based on Profiling and Fingerprinting Approaches: Assessment of Geographical, Varietal, Agricultural and Processing Features". Foods 12, n.º 16 (20 de agosto de 2023): 3120. http://dx.doi.org/10.3390/foods12163120.

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Cocoa and its derivative products, especially chocolate, are highly appreciated by consumers for their exceptional organoleptic qualities, thus being often considered delicacies. They are also regarded as superfoods due to their nutritional and health properties. Cocoa is susceptible to adulteration to obtain illicit economic benefits, so strategies capable of authenticating its attributes are needed. Features such as cocoa variety, origin, fair trade, and organic production are increasingly important in our society, so they need to be guaranteed. Most of the methods dealing with food authentication rely on profiling and fingerprinting approaches. The compositional profiles of natural components –such as polyphenols, biogenic amines, amino acids, volatile organic compounds, and fatty acids– are the source of information to address these issues. As for fingerprinting, analytical techniques, such as chromatography, infrared, Raman, and mass spectrometry, generate rich fingerprints containing dozens of features to be used for discrimination purposes. In the two cases, the data generated are complex, so chemometric methods are usually applied to extract the underlying information. In this review, we present the state of the art of cocoa and chocolate authentication, highlighting the pros and cons of the different approaches. Besides, the relevance of the proposed methods in quality control and the novel trends for sample analysis are also discussed.

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González-Domínguez, Raúl. "Food Authentication: Techniques, Trends and Emerging Approaches". Foods 9, n.º 3 (17 de marzo de 2020): 346. http://dx.doi.org/10.3390/foods9030346.

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Multiple factors can directly influence the chemical composition of foods and, consequently, their organoleptic, nutritional and bioactive properties, including the geographical origin, the variety or breed, as well as the conditions of cultivation, breeding and/or feeding, among others [...]

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Panero, Francisco S., Pedro S. Panero, João S. Panero, Fernando S. E. D. V. Faria y Anselmo F. R. Rodriguez. "Rapid and Green Method Forensic Authentication of Rice Using Near-Infrared Spectroscopy (NIRS)". Journal of Agricultural Science 12, n.º 7 (15 de junio de 2020): 105. http://dx.doi.org/10.5539/jas.v12n7p105.

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Rice is one of the most consumed cereals in the world. Currently, techniques for the authentication and geographical origin of rice is known not to be objective because to depend on the naked eye of a well-trained inspector. DNA fingerprint methods have been shown to be inappropriate for on-site application because the method needs a lot of labor and skilled expertise. Rice consumers want to confirm cultivation origin because they believe price or eating score has a high correlation according to them. Considering rice as a raw material of economic and social value and the recent use of NIR spectroscopy coupled with chemometric methods to authentication and discrimination of geographical origin as an alternative to classical methods in the search for a methodology in line with Green Chemistry, this work investigates the potential of NIR spectroscopy combined with multivariate analysis: PCA (Principal Component Analysis) and HCA (Hierarchical Cluster Analysis) for rapid and non-destructive forensic authentication of rice grains from Brazil and Venezuela. This study investigated the potential of near-infrared spectroscopy, combined with PCA and HCA chemometric technique to the authenticity of rice. It was verified that is feasible and advantageous to implement authenticity detection of different brands, typology and geographical discrimination (Brazil and Venezuela) rice.

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Zhang, Senshen, Yimin Wei, Shuai Wei, Hongyan Liu y Boli Guo. "Authentication of Zhongning wolfberry with geographical indication by mineral profile". International Journal of Food Science & Technology 52, n.º 2 (16 de noviembre de 2016): 457–63. http://dx.doi.org/10.1111/ijfs.13301.

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Punitha, A. y J. Martin Leo Manickam. "Privacy preservation and authentication on secure geographical routing in VANET". Journal of Experimental & Theoretical Artificial Intelligence 29, n.º 3 (29 de agosto de 2016): 617–28. http://dx.doi.org/10.1080/0952813x.2016.1212103.

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Tesis sobre el tema "Geographical authentication"

Martins, Patrícia Alexandra Pardal. "Determinação da razão isotópica 87Sr/86Sr por ICP-MS no sistema solo-vinho". Master's thesis, ISA/UTL, 2012. http://hdl.handle.net/10400.5/5312.

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Mestrado em Engenharia Alimentar - Instituto Superior de Agronomia
One of the most challenging matters regarding wine authenticity is the control of geographical provenance. The strontium isotope ratio 87Sr/86Sr has been suggested to be a promising fingerprint for wine provenance identification. It is based on the assumption that there is a correlation between the ratio 87Sr/86Sr of the wine and that of the soil in which the vine as grown. The aim of this study was to assess the 87Sr/86Sr ratios of vineyard soils from Portuguese DO and evaluate its suitability as a tool for provenance authentication It was optimized an analytical protocol for the determination of the isotopic ratio 87Sr/86Sr in soil-wine system by Q-ICP-MS .Due to isobaric overlap of 87Sr and 87Rb, Sr and Rb have to be separated prior Q-ICP-MS analysis. For an efficient removal of Rb a ion-exchangechromatography procedure using chelating properties of EDTA was optimized. ICP-MS instrumental parameters were optimized in order to obtain the best precision for the 86Sr/87Sr (0.1- 0.2% RSD). The 86Sr/87Sr ratios of soils from vineyards located in three Portuguese DO (Dão, Óbidos and Palmela), were determined. Significant differences were found between soils of different DO regions. The soil from Dão DO, developed on granites, showed statistically higher 87Sr/86Sr than other soils tested, developed on sedimentary formations

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Monteiro, Pablo Inocêncio. "Autenticação de cafés brasileiros baseada em análise metabolômica e quimiometria". Universidade Estadual de Ponta Grossa, 2018. http://tede2.uepg.br/jspui/handle/prefix/2755.

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O café é uma das commodities mais importantes no mundo, sendo o Brasil o maior produtor e exportador do grão (Coffea arabica e Coffea canephora). Os cafés brasileiros são reconhecidos por sua alta qualidade sensorial e pelas propriedades estimulantes. A composição química do café é influenciada por vários fatores, como a altitude em que a planta é cultivada, tipos de secagem do grão, grau de torra a que os grãos são expostos, o sistema de cultivo empregado (orgânico ou convencional), entre outros. O mercado cafeeiro valoriza produtos com sistema de cultivo e local de produção autenticados. Desta forma, o objetivo geral do trabalho foi avaliar o efeito do sistema de cultivo, origem geográfica e origem botânicas de cafés brasileiros na composição fenólica, características físico-químicas e propriedade antioxidante dos grãos. Foram utilizados um total de 45 cafés brasileiros provenientes de Minas Gerais (MG; n = 13), São Paulo (SP; n = 11), Paraná (PR; n = 8), Espírito Santo (ES; n = 3), Bahia (BA; n = 2), e blends: PR/MG/SP (n = 1), MG/SP (n = 6), PR/ES/Roraima (RO) (n = 1). Para avaliar os efeitos dos sistemas de cultivo, foram utilizados n = 19 orgânicos (ORG) e n = 26 convencionais (CONV), sendo que cafés de Coffea arabica n = 41 e blends n = 4 foram estudados em relação à origem botânica. Os resultados da estatística inferencial mostraram que a capacidade de quelar Fe2+ , teor de ácido cafeico, e pH foram diferentes entre as regiões produtoras, sendo que a análise por componentes principais (PCA) não mostrou separação nítida dos cafés de origens geográficas distintas. A análise discriminante por mínimos quadrados parciais (PLSDA) classificou corretamente apenas as amostras do Paraná e blends. O sistema de cultivo (ORG e CONV) influenciou significativamente (p<0,05) a composição fenólica e atividade antioxidante dos cafés, de modo que as amostras ORG apresentaram menores teores de quercetina-3-rutinosídeo, atividade antioxidante medida pelos métodos FRAP e quelar Fe2+, e menores teores de fenólicos totais. A PCA separou os dois grupos efetivamente, ao passo que o modelo de PLS-DA classificou os sistemas de cultivo com eficácia acima de 90%. Em relação à origem botânica, apenas o teor de cafeína mostrou-se diferente entre C. arabica e blends, o que tornou a perfeita classificação da origem botânica das amostras de café possível por PLS-DA. Conclui-se que a utilização de metabolômica referente aos constituintes químicos, atividade antioxidante e propriedades físico-químicas podem ser usadas como marcadores para avaliação da origem botânica, geográfica e do sistema de cultivo de cafés brasileiros. Esses dados são de interesse das indústrias e de órgãos governamentais vistos que autenticação de alimentos é de extrema importância para se ter um produto livre de fraudes, comercialmente competitivo e seguro ao consumo.
Coffee is one of the most important commodities in the world, Brazil being the largest producer and exporter of the grain (Coffea arabica and Coffea canephora). Brazilian coffees are recognized for their high sensory quality and stimulating power. The chemical composition of the coffee is influenced by several factors, such as the altitude at which the plant is grown, types of drying of the grain, degree of roasting in which the grains are exposed, the cultivation system used (organic or conventional), among others. The coffee market values products with certified cultivation system and place of production. In this way, the general objective of the work was to evaluate the effect of the system of cultivation, geographic origin, and botanical origin of Brazilian coffees in the phenolic composition, physical-chemical characteristics, and antioxidant properties. A total of 45 Brazilian coffees from Minas Gerais (MG, n = 13), São Paulo (SP; n = 11), Paraná (PR; n = 8), Espírito Santo (N = 2), and blends: PR/MG/SP (n = 1), MG/SP (n = 6), PR/ES / Roraima (RO) (n = 1). In order to evaluate the effects of the cultivation systems, n = 19 organic (ORG) and n = 26 conventional (CONV) were used. Coffea arabica coffees n = 41 and blends n = 4 were studied in relation to the botanical origin. The results of the inferential statistics showed that the ability to chelate Fe2+ , caffeic acid content, and pH were different among the producing regions, and the principal component analysis (PCA) did not show a clear separation of the coffees from different geographic origins. Partial least squares discriminant analysis (PLS-DA) classified only the Paraná and blends samples. The cultivation system (ORG and CONV) influenced significantly (p<0.05) the antioxidant activity and phenolic composition of the coffee, so that ORG samples showed lower levels of quercetin-3- rutinoside, antioxidant activity measured by FRAP and chelation of Fe2+, and lower total phenolic contents. PCA separated the two groups effectively, while the PLS-DA model ranked cultivation systems effectively above 90%. In relation to the botanical origin, only the caffeine content was different between C. arabica and blends, which made the botanical origin classification of the coffee samples possible (100% efficacy) by PLS-DA. It is concluded that the use of metabolomics in relation to chemical constituents, antioxidant activity and physico-chemical properties can be used as markers for the evaluation of the botanical, geographical origins and the cultivation system of Brazilian coffee. These data are of interest to industries and government agencies that food authentication is of the utmost importance in order to have a fraudfree, commercially competitive and consumer-safe product.

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Nasr, Emna. "Signatures inorganiques et isotopiques combinées pour la discrimination de l'origine géographique de l'huile d'olive". Electronic Thesis or Diss., Pau, 2022. http://www.theses.fr/2022PAUU3004.

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La mondialisation de l'industrie alimentaire a suscité l'intérêt des consommateurs pour l'origine géographique et la qualité des produits alimentaires. L'augmentation de la production et de la consommation mondiale de denrées alimentaires a toutefois entraîné la propagation de pratiques frauduleuses. Celles-ci menacent à la fois la santé des consommateurs et l'équilibre économique de l'industrie alimentaire, qui subit chaque année d'énormes pertes financières. L'huile d'olive est l'un des produits alimentaires les plus fraudés. En conséquence, un large éventail de stratégies analytiques a été proposé pour l'authentification géographique de l'huile d'olive. Les approches les plus fiables qui ont démontré des résultats prometteurs pour la traçabilité géographique des produits alimentaires étaient basées sur l'empreinte multi-élémentaire et isotopique. Néanmoins, éléments traces, initialement présents à des concentrations faibles à très faibles dans l'huile d'olive, sont dissous dans une matrice lipidique complexe et donc l'introduction des échantillons dans les instruments basés sur le plasma et les mesures précises des composants chimiques sont difficiles. Cette étude présente une approche analytique fiable basée sur une information géographique tridimensionnelle : (1) la composition minérale du sol à travers l'analyse des éléments traces; (2) le contexte géologique par l'analyse de la composition isotopique du Sr; et (3) le contexte pédo-climatique à travers la détermination des isotopes stables du carbone dans les huiles d'olive. Tout d'abord, les éléments traces ont été quantifiés dans des huiles d'olive de Tunisie, d'Espagne et de France avec une grande précision et exactitude par ICP-MS quadripolaire suivant une procédure analytique optimisée. Les concentrations élémentaires combinées à la chimiométrie ont permis de classer les huiles d'olive en fonction de leur provenance géographique. Par la suite, une méthode innovante a été développée et appliquée avec succès pour l'extraction quantitative du Sr à partir de l'huile d'olive et la mesure précise du rapport isotopique 87Sr/86Sr par MC-ICP-MS. La conservation des rapports isotopiques 87Sr/86Sr pendant le transfert du Sr du sol à la plante et pendant l'extraction de l'huile d'olive a été démontrée. Les résultats ont été corrélés avec les caractéristiques géologiques des roches mères et ont ainsi mis en évidence que la composition isotopique Sr de l'huile d'olive peut être utilisée comme un outil fiable pour identifier la provenance géographique de l'huile d'olive. Dans la dernière partie du manuscrit, les isotopes stables du carbone ont été déterminés dans les huiles d'olive par IRMS et ont permis de retracer les processus physiologiques de l'olivier en fonction des caractéristiques environnementales spécifiques. Chacune des trois approches mono-paramètre étudiées a fourni des informations géographiques fiables mais limitées. C'est pourquoi elles ont été combinées avec la chimiométrie afin d'établir un outil d'authentification géographique avancé capable de faire face aux pratiques frauduleuses les plus sophistiquées
The globalization of the food industry has raised consumer interest in the geographical origin and the quality of food products. The global increase in food production and consumption, however, has led to fraudulent practices spreading. It threatens both the health of consumers and the economic balance of the food industry, which suffers huge financial loss every year. Olive oil is one of the most adulterated food products. As a result, a large array of analytical strategies was proposed for the geographical authentication of olive oil. The most reliable approaches that have demonstrated promising results for the geographical traceability of food products were based on the multi-elemental and isotopic fingerprinting. Nevertheless, trace elements, initially found at low to critically low concentrations in olive oil, are dissolved in a complex lipid matrix and thus the samples introduction in plasma-based instruments and the precise measurements of chemical components are challenging. This study presents a reliable analytical approach based on a three dimensional geographic information: (1) the mineral composition of the soil through the analysis of trace elements; (2) the geological background through the analysis of Sr isotopic composition; and (3) the pedo-climatic context through the determination of stable isotopes of carbon in olive oils. First, the trace elements were quantified in olive oils from Tunisia, Spain and France with high precision and accuracy by quadrupole ICP-MS following an optimized analytical procedure. The elemental concentrations combined with chemometrics allowed to classify olive oils according to their geographical provenance. Subsequently, an innovative method was developed and successfully applied for the quantitative extraction of Sr from olive oil matrix and accurate measurement of 87Sr/86Sr isotopic ratio by MC-ICP-MS. The conservation of 87Sr/86Sr isotopic ratios during the transfer of Sr from the soil to the plant and during olive oil extraction was demonstrated. The results were correlated with the geological characteristics of the bedrocks and thus highlighted that Sr isotopic composition of olive oil can be used as a reliable tool for fingerprinting olive oil geographic provenance. In last part of the manuscript, the stable isotopes of carbon were determined in olive oils by IRMS and allowed to trace the physiological processes of the olive tree to specific environmental characteristics. Each of the three studied single-parameter approaches provided reliable but limited geographic information. Therefore, they were combined together with chemometrics in order to establish an advanced geographical authentication tool able to overcome the most sophisticated fraudulent practices

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Alkhaldi, Rawan. "Spatial data transmission security authentication of spatial data using a new temporal taxonomy /". abstract and full text PDF (free order & download UNR users only), 2005. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1433280.

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Kim, Tiffany Hyun-Jin. "All Trust Is Local: Empowering Users’ Authentication Decisions on the Internet". Research Showcase @ CMU, 2012. http://repository.cmu.edu/dissertations/132.

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Pathak, Vivek. "Robust decentralized authentication for public keys and geographic location". 2009. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.000051060.

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Capítulos de libros sobre el tema "Geographical authentication"

Meng, Weizhi y Zhe Liu. "TMGMap: Designing Touch Movement-Based Geographical Password Authentication on Smartphones". En Information Security Practice and Experience, 373–90. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99807-7_23.

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Charvát, Karel y Michal Kepka. "Crowdsourced Data". En Big Data in Bioeconomy, 63–67. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71069-9_5.

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AbstractCrowdsourcing together with Volunteered Geographic Information (VGI) are currently part of a broader concept – Citizens Science. The methods provide information on existing geospatial data or is a part of data collection from geolocated devices. They enable opening parts of scientific work to the general public. DataBio Crowdsourcing Solution is a combination of the SensLog server platform and HSLayers web and mobile applications. SensLog is a server system for managing sensor data, volunteered geographic information and other geospatial data. Web and mobile applications are used to collect and visualize SensLog data. SensLog data model builds on the Observations & Measurements conceptual model from ISO 19156 and includes additional sections, e.g., for user authentication or volunteered geographic information (VGI) collection. It uses PostgreSQL database with PostGIS for data storage and several API endpoints.

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Christoph, N., A. Rossmann, C. Schlicht y S. Voerkelius. "Wine Authentication Using Stable Isotope Ratio Analysis: Significance of Geographic Origin, Climate, and Viticultural Parameters". En ACS Symposium Series, 166–79. Washington, DC: American Chemical Society, 2006. http://dx.doi.org/10.1021/bk-2007-0952.ch011.

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Fagence, Michael. "Using geographical and semiotic means to establish fixed points of a never-ending story: searching for parameters of authenticity in a case study of Australian history". En Authenticity and Authentication of Heritage, 90–102. Routledge, 2021. http://dx.doi.org/10.4324/9781003130253-8.

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Pazos, Andrés, José Poveda y Michael Gould. "A Package-Based Architecture for Customized GIS". En Geographic Information Systems, 493–500. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch030.

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In this chapter we present a package-based component architecture for the specific deployment and maintenance of public sector applications, specifically corporate Geographical Information Systems (GIS). The three-tier architecture defines a group of server-side packages, a kernel and external packages, that are dynamically requested and assembled at execution time according to the needs of individual users to produce on demand customized GIS applications. An intermediate middleware layer handles user authentication and version control. In order to demonstrate the proposed architecture, a practical prototype has been implemented using Java WebStart. This prototype demonstrates the creation of several GIS client applications, with increasing levels of functionality, and based on free software packages.

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Chauhan, Rahul y Jyoti Rawat. "Emotion-Infused Multimodal Biometric Fusion for Elevating User Authentication and Interaction". En Applications of Parallel Data Processing for Biomedical Imaging, 195–222. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-2426-4.ch010.

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This study combines many biometric techniques with emotions and provides a viable method for user engagement and authentication. The study uses recurrent neural networks, which contain LSTM (Long-Short-Term Memory) cells, while convolutional neural networks (CNN) are used for feature extraction. This work provides a standard extraction strategy that combines multiple biometric data sources, such as voice, fingerprints, irises, and faces. This allows the system to more easily\understand the user's emotional state temporal and geographical dimensions. After emotional expressions have changed over time, Using LSTM-based RNNs further improves the system. The overall accuracy and reliability of the emotion recognition model is improved because each biometric form has separate branches. Development of flexible models for advanced fusion techniques, their practical use, consideration of privacy concerns and continuous learning are possible directions for further development of this field. Overall, our work paves the way for safe, understandable, and compassionate technology by making significant advances\in user identification and engagement. The future offers many interesting features for biometric technology as well. Keywords: long-short-term memory (LSTM) cells, user authentication, interaction, biometric fusion with emotions, recurrent neural networks, convolutional neural networks, and multimodal biometric fusion.

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Harinakshi, C., A. Masooda y G. Suchetha. "Cloud Infrastructure for Robotics". En Advances in Computational Intelligence and Robotics, 20–37. IGI Global, 2024. http://dx.doi.org/10.4018/979-8-3693-1914-7.ch002.

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The integration of cloud infrastructure with robotics transforms the field by providing a cost-effective platform for developing, testing, and deploying robotic applications. Cloud's on-demand computing resources accelerate innovation, allowing developers to experiment with new algorithms efficiently. This global collaboration enables remote control and testing of robots worldwide, overcoming geographical constraints. Cloud infrastructure enhances deployment by offloading intensive tasks, reducing hardware requirements, and promoting cost-effectiveness. Centralized fleet management streamlines operations, ensuring uniform updates and security patches for system stability. Robust security measures, including encryption and authentication, address privacy concerns. Cloud robotics implement edge computing for local data processing, minimizing the risk of breaches. Scalability accommodates growing demands, enabling businesses to adapt without significant investments.

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Marini, Federico, Remo Bucci, Antonio L. Magrì y Andrea D. Magrì. "An Overview of the Chemometric Methods for the Authentication of the Geographical and Varietal Origin of Olive Oils". En Olives and Olive Oil in Health and Disease Prevention, 569–79. Elsevier, 2010. http://dx.doi.org/10.1016/b978-0-12-374420-3.00062-0.

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Chen, Lei, Cihan Varol, Qingzhong Liu y Bing Zhou. "Security in Wireless Metropolitan Area Networks". En Security, Privacy, Trust, and Resource Management in Mobile and Wireless Communications, 11–27. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4691-9.ch002.

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Thanks to the much larger geographical coverage and pleasing bandwidth of data transmissions, Wireless Metropolitan Area Networks (WMANs) have become widely accepted in many countries for everyday communications. Two of the main wireless technologies used in WMANs, the Worldwide Interoperability for Microwave Access (WiMAX, also known as Wireless Local Loop or WLL) and Long Term Evolution (LTE), have generated billions of dollars in the ever-growing wireless communication market. While the IEEE 802.16 standards for WiMAX and the 3GPP standards LTE are updated and improved almost annually, it is inevitable that current standards still contain a number of security vulnerabilities, potentially leading to various security attacks. To address the security concerns in these two WMANs technologies, this chapter presents the technical details of security aspects of WiMAX and LTE. More specifically, the key generation, authentication, data, and key confidentiality and integrity of both technologies are deliberated. The chapter ends with a discussion of the security vulnerabilities, threats, and countermeasures of WiMAX and LTE.

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Thomopoulos, Stelios C. A. y Nikolaos Argyreas. "Biometric Authentication in Broadband Networks for Location-Based Services". En Geographic Information Systems, 726–35. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2038-4.ch044.

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Broadband communication networks have begun to spread rapidly over fixed networks, with wireless networks following at close distance. The excess capacity allows the offering of broadband services at competitive rates. Location-based services (LBS) over wireless broadband networks are becoming mainstream in an emerging ambient intelligence society. For LBS over broadband and, in particular, peer-to-peer networks, such as ad hoc networks, unambiguous user authentication is of paramount importance to user trust and safety, thus ultimately to the success of such service. Biometric authentication is an approach to providing irrefutable identity verification of a user, thus providing the highest level of security. This chapter addresses some of the issues associated with the use of biometric ID for user and apparatus authentication over broadband wireless networks (e.g., GPRS, UMTS, WiFi, LANs) and narrow band local networks (e.g., bluetooth, Zigbee, PANs, BANs).

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Actas de conferencias sobre el tema "Geographical authentication"

Addas, Alaadin, Amirali Salehi-Abari y Julie Thorpe. "Geographical Security Questions for Fallback Authentication". En 2019 17th International Conference on Privacy, Security and Trust (PST). IEEE, 2019. http://dx.doi.org/10.1109/pst47121.2019.8949063.

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Ren, Na, Qi-sheng Wang y Chang-qing Zhu. "Selective authentication algorithm based on semi-fragile watermarking for vector geographical data". En 2014 22nd International Conference on Geoinformatics. IEEE, 2014. http://dx.doi.org/10.1109/geoinformatics.2014.6950830.

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Hammel Sobreira, Camila, Marcus V. Da Silva Ferreira y Mohammed Kamruzzaman. "Authentication of premium tea based on geographical origin using NIR spectroscopy and multivariate analysis". En 2023 Omaha, Nebraska July 9-12, 2023. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2023. http://dx.doi.org/10.13031/aim.202300636.

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Brelis, Lucía Elisabet, Carolina Elizabeth Genevois, Daniel Primost y Verónica María Busch. "Geographical Differentiation of Honeys from Entre Ríos (Argentina) through Physicochemical Analysis: A Scientific Approach for the Characterization and Authentication of Regional Honeys". En Foods 2023. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/foods2023-15075.

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Mercer, Zehnder J. A., Hong Siang Chua, Peter Mahon, Siaw San Hwang y Sing Muk Ng. "Authentication of geographical growth origin of black pepper (piper nigrum l.) based on volatile organic compounds profile: A case study for Malaysia and India black peppers". En 2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN). IEEE, 2019. http://dx.doi.org/10.1109/isoen.2019.8823265.

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Abramov, A. G., A. V. Evseev y A. A. Gonchar. "National Research Computer Network: infrastructure and service basis for a Common digital space of scientific knowledge". En Всероссийская научная конференция "Единое цифровое пространство научных знаний: проблемы и решения". Москва, Берлин: Директмедиа Паблишинг, 2021. http://dx.doi.org/10.51218/978-5-4499-1905-2-2021-320-333.

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The paper provides general information on the architecture of the new generation National Research Computer Network (NIKS), operated and developed by JSCC RAS on the assignment of the Ministry of Science and Higher Education of the Russian Federation as an administrator and operator since 2019. The key functions and directions of functioning of NIKS today and in the short term development, some urgent tasks of the sphere of science and education of the country, requiring the engaging of the existing infrastructure and service capabilities of the network, as well as its progressive comprehensive modernization. Information is provided on the current state of NIKS with the geographical and target user coverage within the country, the groundwork formed and the potential expansion of areas of international cooperation with foreign national research and education networks and network consortia in the interests of the sphere of science and education of Russia. The opportunities provided by NIKS for improvement of a Common digital space of scientific knowledge, increasing the level of accessibility, information security and network protection of its resources and services are denoted. Individual specialized scientific services, information technology services and services for collective use functioning on the basis of the NIKS infrastructure, built, including on promising and massively exploited technologies of federated authentication and developed in cooperation with the global research and education community are presented.

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Addas, Alaadin, Julie Thorpe y Amirali Salehi-Abari. "Geographic Hints for Passphrase Authentication". En 2019 17th International Conference on Privacy, Security and Trust (PST). IEEE, 2019. http://dx.doi.org/10.1109/pst47121.2019.8949033.

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Marques, Douglas Aurélio, Karina M. Magalhães y Ricardo R. Dahab. "RAWVec – A Method for Watermarking Vector Maps". En Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais. Sociedade Brasileira de Computação - SBC, 2007. http://dx.doi.org/10.5753/sbseg.2007.20921.

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The information used in geographic information system (GIS) and in spatial data is represented by digital vector maps, which are expensive to produce, but easy to copy. Watermarks have been used for a long time in other digital media for both authentication and tracing. This work presents a new method for embedding watermarks, in the form of a bitmap image, into digital vector maps. The detection of the watermark is accomplished by extracting the embedded image and comparing it with the original one.

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