Bibliografías temáticas / Consumer profiling – data processing

Literatura académica sobre el tema "Consumer profiling – data processing"

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Publicado: 26 de julio de 2024

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Artículos de revistas sobre el tema "Consumer profiling – data processing"

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Quinelato, Pietra Daneluzzi. "Consumer manipulation through behavioral advertising". Brazilian Journal of Law, Technology and Innovation 2, n.º 1 (2 de enero de 2024): 1–24. http://dx.doi.org/10.59224/bjlti.v2i1.1-24.

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In the contemporary era marked by technological advancements and pervasive use of social media, there has been a notable surge in the collection and subsequent processing of personal data, transforming them into economic assets exploited by corporations. This phenomenon gives rise to a "surveillance society" or "mental capitalism," prominently characterized by the customization of advertisements based on users' consumption profiles and behaviors. Despite its focus on personalized advertising, this practice frequently employs persuasive techniques that possess the potential to influence consumer decisions, prompting concerns about user manipulation and the erosion of decision-making autonomy. This study employs the exploratory deductive method to scrutinize the provisions of one of the European Union's latest regulations tailored for digital platforms, namely the Data Services Act, and its efficacy in addressing the prevailing issues. The research identifies ambiguity within the regulation, particularly regarding its applicability to operations involving the processing of personal data and dark patterns. Additionally, findings emphasize the necessity for active supervision, especially concerning the profiling of children and adolescents. In conclusion, this study underscores the urgency of implementing regulatory measures to ensure more effective protection, mitigating persuasive and obscure practices on social media. Such efforts aim to preserve consumer autonomy and rights in an increasingly digital and data-driven world.
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J. Wulf, Alexander y Ognyan Seizov. "Artificial Intelligence and Transparency: A Blueprint for Improving the Regulation of AI Applications in the EU". European Business Law Review 31, Issue 4 (1 de agosto de 2020): 611–40. http://dx.doi.org/10.54648/eulr2020024.

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The adoption of Artificial Intelligence is steadily increasing, but the underlying algorithms have become so complex that they are no longer transparent. The EU has introduced some modest AI transparency requirements as part of its General Data Protection Regulation. However, two years after their introduction, the effectiveness of these rules remains questionable. Our aim is to contribute towards the further development of a governance framework for AI. We begin by explaining how the algorithms that enable the speed and data processing power of AI also obscure its transparency. We review how major guidelines on AI ethics operationalize algorithmic transparency, following which we assess whether these principles are adequately covered by the GDPR. We then present the results of semi-structured interviews of a heterogeneous sample of stakeholders of consumer information online (N=75). Our data provide evidence that the current implementation of the EU’s informed consumer paradigm fails to establish a satisfactory level of consumer protection and information online. If simple technological applications such as cookies remain non-transparent to consumers, the current approaches are entirely incapable of addressing the problem of complex AI applications. We conclude by formulating a policy proposal as to how the transparency of AI applications could be improved from the perspective of end users. artificial intelligence, explainable AI, automated individual decision-making, profiling, consumer protection, data protection, GDPR, information disclosures, transparency, AI ethics
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Munzil, Fontian y Nadisah Zakaria. "Indonesian Omnichannel Banking: How Far Do Governing Laws Protect Customer's Data Privacy". Jurnal Hukum dan Peradilan 12, n.º 1 (20 de octubre de 2023): 29. http://dx.doi.org/10.25216/jhp.12.1.2023.29-56.

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In the digital transformation era, banks have been working to implement a digital strategy that will lead to lower costs, better service, higher profitability, and the desired level of customer satisfaction. Utilising marketing technology for consumer engagement is essential to bringing in more customers without increasing costs. Omnichannel is the marketing strategy that offers more services to customers by having them interact with it across all available physical and digital channels at any time, resulting in higher customer satisfaction and loyalty. Customer data is significant information that may be used at any stage of the digital marketing process. The Protection of Personal Data Act of 2022 and the Act of Development and Strengthening of the Financial Sector of 2023 govern consumer data protection at all stages of marketing activities, including data processing, profiling, and collaboration with other organisations. This study reviews how far the governing laws can protect consumer private data in utilisation in the company's digital marketing program to boost utilisation of the company's omnichannel approach. The study discovered that governing laws can protect the customer's private data in the banking omnichannel approach. Customer data are governed clearly and strongly by the regulations at all marketing program phases that could potentially be exploited, so both laws will be able to prevent illegal activities of customer data optimally in the future. Lastly, customer approval is critical for the Bank's use of all customer data.
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4

Fowler, S. M., J. M. Hoban, G. Melville, D. W. Pethick, S. Morris y D. L. Hopkins. "Maintaining the appeal of Australian lamb to the modern consumer". Animal Production Science 58, n.º 8 (2018): 1392. http://dx.doi.org/10.1071/an17773.

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Aligning the production of lamb cuts with consumer preferences is an ongoing challenge for the Australian lamb supply chain. In recent decades, genetic and on-farm management practices have improved, while the demographics of consumers and their consumption patterns have changed. This has resulted in larger traditional lamb cuts, which have less appeal to modern consumers. Therefore, research has been conducted to determine the potential to fabricate new value-added lamb cuts from heavier carcasses, determine consumer preferences for lamb roasts, investigate the impact of increasing carcass weight and fat depths on the production of value-added retail cuts and determine the nutritional composition of these cuts. In an effort to address these issues, a new value-added cut, the compact shoulder roast, was developed from the forequarter of the carcass to provide an option for retailers processing heavier lamb carcasses. A subsequent survey of consumer preferences highlighted that preferences for roast weight and size were affected by frequency of consumption, with daily consumers preferring the heaviest roasts and younger consumers preferring lighter roasts, implying the need for further fabrication, such as that required for the compact shoulder roast. However, the time taken to fabricate these value-added cuts increases with each kilo increase in carcass weight and decreasing saleable meat yield of lamb carcasses results as the degree of value-adding increases, indicating that a higher average price per kilo is required at retail. Subsequently, value-added cuts will need to be marketed on the basis of other product qualities such as nutritive value. However, profiling of lamb cuts has also shown that there is little data on the nutritive value of a range of lamb cuts, apart from the loin, so work has been undertaken to address this deficiency using grass-fed lamb through a major supply chain.
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5

Dahunsi, Folasade M., Abayomi E. Olawumi, Daniel T. Ale y Oluwafemi A. Sarumi. "A systematic review of data pre-processing methods and unsupervised mining methods used in profiling smart meter data". AIMS Electronics and Electrical Engineering 5, n.º 4 (2021): 284–314. http://dx.doi.org/10.3934/electreng.2021015.

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<abstract> <p>The evolution of smart meters has led to the generation of high-resolution time-series data - a stream of data capable of unveiling valuable knowledge from consumption behaviours for different applications. The ability to extract hidden knowledge from such massive amounts of data requires that it be analysed intelligently. Hence, for a clear representation of the various consumption behaviours of consumers, a good number of data mining technologies are usually employed. This paper presents a systematic review of the various data mining techniques and methodologies employed while profiling energy data streams. The review identifies the strengths and shortcomings of existing data mining methods as applied in research, focusing more on data processing techniques and load clustering. Also discussed are data mining methods used to profile consumption data, their pros and cons. It was inferred during the research that the choice of data mining technique employed is highly dependent on the application it is intended for and the intrinsic nature of the dataset.</p> </abstract>
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6

Baggerly, Keith A., Kevin R. Coombes y Jeffrey S. Morris. "Bias, Randomization, and Ovarian Proteomic Data: A Reply to “Producers and Consumers”". Cancer Informatics 1 (enero de 2005): 117693510500100. http://dx.doi.org/10.1177/117693510500100101.

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Proteomic patterns derived from mass spectrometry have recently been put forth as potential biomarkers for the early diagnosis of cancer. This approach has generated much excitement, particularly as initial results reported on SELDI profiling of serum suggested that near perfect sensitivity and specificity could be achieved in diagnosing ovarian cancer. However, more recent reports have suggested that much of the observed structure could be due to the presence of experimental bias. A rebuttal to the findings of bias, subtitled “Producers and Consumers”, lists several objections. In this paper, we attempt to address these objections. While we continue to find evidence of experimental bias, we emphasize that the problems found are associated with experimental design and processing, and can be avoided in future studies.
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Olawumi, A. E. y F. M. Dahunsi. "Load profiling of commercial and residential building using clustering technique". Nigerian Journal of Technology 42, n.º 2 (11 de agosto de 2023): 257–63. http://dx.doi.org/10.4314/njt.v42i2.14.

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Data mining is a promising tool used in processing energy data collected from energy consumers. The knowledge derived from energy data is very pertinent in the formulation of various demand-side management programs. This paper uses clustering techniques to segment the energy consumption patterns of residential and commercial buildings; situated at different geographical locations. The two (2) commonly used clustering techniques: K-Means and Agglomerative Hierarchical Clustering, were employed. The result indicates that the choice of clustering technique for load profiling is highly subjective to the nature of the dataset. Hence, using Davies-Bouldin Index (DB) Index and Silhouette Index (SI) as clustering indicators to select an optimum number of clusters and the best clustering technique. Hierarchical clustering was identified as the most appropriate clustering for the two buildings.
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Hussain, Mashitah Mohd, Zuhaina Zakaria, Nofri Yenita Dahlan, Nur Iqtiyani Ilham, Zhafran Hussin, Noor Hasliza Abdul Rahman y Md Azwan Md Yasin. "Short term forecasting of electrical consumption using a neural network: joint approximate diagonal eigenvalue". Indonesian Journal of Electrical Engineering and Computer Science 26, n.º 1 (1 de abril de 2022): 56. http://dx.doi.org/10.11591/ijeecs.v26.i1.pp56-66.

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This article aims <span lang="EN-US">to estimate the load profiling of electricity that provides information on the electrical load demand. In achieving this research implemented the neural network algorithm of joint approximate diagonalisation of eigen-matrices (JADE) to describe the load profile pattern for each point. Nowadays, utility providers claim that natural sources are used to generate power by rising consumer demands for energy. However, occasionally utility workers need to know the demand at certain location, corresponding to maintenance issues or for any shutdown area involved.<br /> A distribution pattern based on the data can be predicted based on the incoming data profile without having detailed information of certain load bus, the concept of derivatives was relevant to forecast the types of distribution data. The model was constructed with load profile information based on three different locations, and the concept of derivative was recognized, including the type of incoming data. Historical data were captured from a selected location in Malaysia that was proposed to train the JADE algorithm from three different empirical distributions of consumers, recording every 15 minutes per day. The results were analyzed based on the error measurement and compared with the real specific load distribution feeder information of needed profiles.</span>
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Ispiryan, Audronė, Jonas Viškelis, Pranas Viškelis, Dalia Urbonavičienė y Lina Raudonė. "Biochemical and Antioxidant Profiling of Raspberry Plant Parts for Sustainable Processing". Plants 12, n.º 13 (23 de junio de 2023): 2424. http://dx.doi.org/10.3390/plants12132424.

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The optimization of innovation and food technological processes not only increases the profits of companies but also allows them to achieve the set goals of the green trajectory. This research aimed to collect data on the biochemical composition of different parts of the raspberry variety ‘Polka’, including the various morphological parts, to present the importance of differentiating plant parts in food processing, and to show the potential of usage for primary processing in different fields of the food industry. Fruits, stems (cane), leaves, flowers, seeds, and roots were evaluated according to their chemical composition and mineral (Ca, Mg, B, Zn, Cu, Fe, and Mn) contents, phenolic compounds, and antioxidant activity. In our study, the contents of inverted sugar, saccharose, and total sugar varied from 51.8 ± 2.46 %, 18.9 ± 0.31 %, and 69.7 ± 4,36 % in raspberry puree to 5.9 ± %, 1.51 ± %, 7.39 ± % in the seeds, respectively. The results regarding the mineral composition of various raspberry parts (mg/kg) indicated significant differences (p < 0.05). The contents of manganese and iron (57.6 ± 0.50; 36.9 ± 0.59) were the highest in all the parts in the plant. Manganese varied from 246 ± 10.32 in inflorescence to 40.1 ± 0.87 in the seeds. Iron fluctuated from 1553 ± 44.03 in the roots to 35.5 ± 0.15 in the seeds. The highest statistically significant boron content (p < 0.05) was found in the leaves (41.8 ± 0.33), while the lowest was in the seeds (7.17 ± 0.19). The total phenol content of the raspberry’s distinct parts ranged from 6500 mg GAE/100 g DW to 1700 mg GAE/100 g DW. The inflorescence had the considerably highest total phenol content. Our study found that the highest amount of epicatechin is found in the roots (9162.1 ± 647.86 mg), while the fruits contain only 657.5 ± 92.99, and the lowest value is in the stems (130.3 ± 9.22). High levels of procyanidin B2 were found in the raspberry roots (7268.7 ± 513.98), while the stems had the lowest value–368.4 ± 26.05. The DPPH of the raspberry morphological parts ranged from 145.1 to 653.6 µmol TE/g FW, ABTS—from 1091.8 to 243.4 µmol TE/g FW, and the FRAP—from 720.0 to 127.0 µmol TE/g FW. The study revealed the importance of differentiating plant parts in production for the quality of the final product. Studies showed that raspberry plant parts represent a potential source of natural food ingredients, and can be a potential raw material for products rich in phenolic compounds or dietary fiber, which can provide healthy properties to food when used as an additive that may be economically attractive for consumers.
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Mahmud, Umar, Shariq Hussain y Shunkun Yang. "Power Profiling of Context Aware Systems: A Contemporary Analysis and Framework for Power Conservation". Wireless Communications and Mobile Computing 2018 (16 de septiembre de 2018): 1–15. http://dx.doi.org/10.1155/2018/1347967.

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With the advent of smart, inexpensive devices and a highly connected world, a need for smart service discovery, delivery, and adaptation has appeared. This interconnection is composed of sensors within devices or placed externally in the surrounding environment. Our research addresses this need through a context aware system, which adapts to the users’ context. Given that the devices are mobile and battery operated, the main challenge in a context awareness approach is power conservation. The devices are composed of small sensors that consume power in the order of a few mW. However, their consumptions increase manifold during data processing. There is a need to conserve power while delivering the requisite functionality of the context aware system. Therefore, this feature is termed as ‘power awareness.’ In this paper, we describe different power awareness techniques and compare them in terms of their conservation effectiveness. In addition, based on the investigations and comparison of the results, a power aware framework is proposed for a context aware system.
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Más fuentes

Tesis sobre el tema "Consumer profiling – data processing"

1

Forshed, Jenny. "Processing and analysis of NMR data : Impurity determination and metabolic profiling". Doctoral thesis, Stockholm : Dept. of analytical chemistry, Stockholm university, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-712.

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Arikan, Erinc. "Attack profiling for DDoS benchmarks". Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file Mb., 96 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:1435821.

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Retelius, Philip y Persson Eddie Bergström. "Creating a Customizable Component Based ETL Solution for the Consumer". Thesis, KTH, Hälsoinformatik och logistik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296819.

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In today's society, an enormous amount of data is created that is stored in various databases. Since the data is in many cases stored in different databases, there is a demand from organizations with a lot of data to be able to merge separated data and get an extraction of this resource. Extract, Transform and Load System (ETL) is a solution that has made it possible to easily merge different databases. However, the ETL market has been owned by large actors such as Amazon and Microsoft and the solutions offered are completely owned by these actors. This leaves the consumer with little ownership of the solution. Therefore, this thesis proposes a framework to create a component based ETL which gives consumers an opportunity to own and develop their own ETL solution that they can customize to their own needs. The result of the thesis is a prototype ETL solution that is built with the idea of being able to configure and customize the prototype and it accomplishes this by being independent of inflexible external libraries and a level of modularity that makes adding and removing components easy. The results of this thesis are verified with a test that shows how two different files containing data can be combined.
I dagens samhälle skapas det en enorm mängd data som är lagrad i olika databaser. Eftersom data i många fall är lagrat i olika databaser, finns det en efterfrågan från organisationer med mycket data att kunna slå ihop separerad data och få en utvinning av denna resurs. Extract, Transform and Load System (ETL) är en lösning som gjort det möjligt att slå ihop olika databaser. Dock är problemet denna expansion av ETL teknologi. ETL marknaden blivit ägd av stora aktörer såsom Amazon och Microsoft och de lösningar som erbjuds är helt ägda av dem. Detta lämnar konsumenten med lite ägodel av lösningen. Därför föreslår detta examensarbete ett ramverk för att skapa ett komponentbaserat ETL verktyg som ger konsumenter en möjlighet att utveckla en egen ETL lösning som de kan skräddarsy efter deras egna förfogande. Resultatet av examensarbete är en prototyp ETL-lösning som är byggd för att kunna konfigurera och skräddarsy prototypen. Lösningen lyckas med detta genom att vara oberoende av oflexibla externa bibliotek och en nivå av modularitet som gör addering och borttagning av komponenter enkelt. Resultatet av detta examensarbete är verifierat av ett test som visar på hur två olika filer med innehållande data kan kombineras.
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Abedjan, Ziawasch y Felix Naumann. "Advancing the discovery of unique column combinations". Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2011/5356/.

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Unique column combinations of a relational database table are sets of columns that contain only unique values. Discovering such combinations is a fundamental research problem and has many different data management and knowledge discovery applications. Existing discovery algorithms are either brute force or have a high memory load and can thus be applied only to small datasets or samples. In this paper, the wellknown GORDIAN algorithm and "Apriori-based" algorithms are compared and analyzed for further optimization. We greatly improve the Apriori algorithms through efficient candidate generation and statistics-based pruning methods. A hybrid solution HCAGORDIAN combines the advantages of GORDIAN and our new algorithm HCA, and it significantly outperforms all previous work in many situations.
Unique-Spaltenkombinationen sind Spaltenkombinationen einer Datenbanktabelle, die nur einzigartige Werte beinhalten. Das Finden von Unique-Spaltenkombinationen spielt sowohl eine wichtige Rolle im Bereich der Grundlagenforschung von Informationssystemen als auch in Anwendungsgebieten wie dem Datenmanagement und der Erkenntnisgewinnung aus Datenbeständen. Vorhandene Algorithmen, die dieses Problem angehen, sind entweder Brute-Force oder benötigen zu viel Hauptspeicher. Deshalb können diese Algorithmen nur auf kleine Datenmengen angewendet werden. In dieser Arbeit werden der bekannte GORDIAN-Algorithmus und Apriori-basierte Algorithmen zum Zwecke weiterer Optimierung analysiert. Wir verbessern die Apriori Algorithmen durch eine effiziente Kandidatengenerierung und Heuristikbasierten Kandidatenfilter. Eine Hybride Lösung, HCA-GORDIAN, kombiniert die Vorteile von GORDIAN und unserem neuen Algorithmus HCA, welche die bisherigen Algorithmen hinsichtlich der Effizienz in vielen Situationen übertrifft.
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5

Mehar, Sara. "The vehicle as a source and consumer of information : collection, dissemination and data processing for sustainable mobility". Thesis, Dijon, 2014. http://www.theses.fr/2014DIJOS069/document.

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Aujourd'hui, les véhicules sont devenus de plus en plus sophistiqués, intelligents et connectés. En effet, ils sont équipés de capteurs, radars, GPS, interfaces de communication et capacités de traitement et de stockage élevés. Ils peuvent collecter, traiter et communiquer les informations relatives à leurs conditions de travail et leur environnement formant un réseau véhiculaire. L'intégration des technologies de communication sur les véhicules fait l'objet d'une immense attention de l'industrie, des autorités gouvernementales et des organisations de standardisations; elle a ouvert la voie à des applications innovantes qui vont révolutionner le marché de l'automobile avec les principaux objectifs d'assurer la sécurité sur les routes, augmenter l'efficacité des transports et offrir un confort aux conducteurs et passagers. En outre, le transport est un secteur en évolution active. Des moyens de transport plus durables comme les véhicules électriques s'introduisent progressivement sur le marché de l'automobile tout en créant de nouveaux défis liés à la contrainte énergétique et la protection de l'environnement qui restent à résoudre.De nombreux projets et études ont été initiés exploitant les avantages des technologies de l'information et de communication (TIC) afin de répondre aux différents défis des systèmes de transport. Cependant, avoir des véhicules connectés et coopératifs crée un réseau hautement dynamique caractérisé par des ruptures de lien et de pertes de messages très fréquentes. Pour résoudre ces problèmes de communication, cette thèse se concentre sur deux axes majeurs: (i) le véhicule connecté (ou mobilité connectée) et (ii) la mobilité durable. Dans la première partie de cette thèse, la diffusion, la collecte et l'acheminement de données dans un réseau de véhicule sont adressés. Ainsi, un nouveau protocole de diffusion est proposé afin de faire face à la fragmentation et la connectivité intermittente dans ces réseaux. Ensuite, une nouvelle stratégie de déploiement d'infrastructure de communication est conçue afin d'améliorer la connectivité réseau et l'utilisation des ressources. Enfin, un nouveau protocole de routage, pour applications sensibles au délai, utilisant cette nouvelle infrastructure de communication est proposé. La deuxième partie se concentre sur la mobilité durable avec un focus sur les véhicules électriques et avec un objectif de réduire les problèmes de pollution et d'utiliser efficacement l'énergie. Une nouvelle architecture de gestion de flottes de véhicules électriques est proposée. Cette dernière utilise les protocoles implémentés dans la première partie de cette thèse afin de collecter, traiter et diffuser les données. Elle permet de surmonter les limitations liées à la courte autonomie des batteries des véhicules électriques. Ensuite, pour répondre aux besoins et défis d'équilibre énergétique, un nouveau schéma de déploiement des stations de recharge pour véhicules électriques est proposé. Cette solution permet de satisfaire les demandes des conducteurs en terme d'énergie, tout en tenant compte les capacités énergétiques disponibles
Today, vehicles have become more sophisticated, intelligent and connected. Indeed, they are equipped with sensors, radars, GPS, communication interfaces and high processing and storage capacities. They can collect, process and communicate information related to their working conditions and their environment forming a vehicular network. The incorporation of communication technologies on vehicles garnered a huge attention of industry, government authorities and standardizations organizations and opened the way for innovative applications that revolutionized the automotive market with the main goals to ensure safety on roads, increase transport efficiency and provide comfort to drivers and passengers. In addition, transportation is still an actively evolving sector. More sustainable means of transportation such as electric vehicles are introduced progressively to the automotive market with new challenges related to energy consumption and environment preservation that remain to be solved. Many research investigations and industrial projects are done to exploit the advantages of information and communication technologies (ICT) to fit with transportation challenges. However, having connected and cooperative vehicles creates a highly dynamic network characterized by frequent link breaks and message losses. To cope with these communication limitations, this thesis focuses on two major axis: (i) connected vehicle or connected mobility and (ii) sustainable mobility. In the first part of this thesis, data dissemination, collection and routing in vehicular networks are addressed. Thus, a new dissemination protocol is proposed to deal with frequent network fragmentation and intermittent connectivity in these networks. Then, a new deployment strategy of new communication infrastructure is developed in order to increase network connectivity and enhance the utilization of the network resources. Finally, a new routing protocol, for delay-sensitive applications, that uses the optimized infrastructure deployment is proposed. The second part focuses on sustainable mobility with a focus on electric vehicles and with the main objective is to reduce pollution issues and make better use of energy. A new architecture for electric vehicles fleet management is proposed. This latter uses the implemented protocols of the first part of this thesis in order to collect, process and disseminate data. It helps to overcome the limitations related to short autonomy of electric vehicles. Then, to meet energy balance challenges, a new deployment scheme for electric vehicles charging stations is developed. This solution helps to satisfy drivers’ demands in term of energy while taking into account available resources
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6

Quiñones, Cesar. "Implementation business-to-consumer electronic commerce website using asp.net web programming framework". CSUSB ScholarWorks, 2003. https://scholarworks.lib.csusb.edu/etd-project/2948.

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The purpose of this project is to demonstrate an integration of real world, real time e-commerce with the knowledge and experience gained in participating in the Masters of Business Administration -- Information Management program at California State University, San Bernardino. It is this knowledge and experience that is used to create a Business-To-Consumer (B2C) electronic commerce application (ECA) using available Internet and information management technology. This project presents all aspects of the simulation beginning with the background research of the canine services and supplies industry and ending with an e-commerce simulation and post implementation audit.
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7

Krishnamurthy, Raju Chemical Sciences &amp Engineering Faculty of Engineering UNSW. "Prediction of consumer liking from trained sensory panel information: evaluation of artificial neural networks (ANN)". Awarded by:University of New South Wales. Chemical Sciences & Engineering, 2007. http://handle.unsw.edu.au/1959.4/40746.

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This study set out to establish artificial neural networks (ANN) as an alternate to regression methods (multiple linear, principal components and partial least squares regression) to predict consumer liking from trained sensory panel data. The study has two parts viz., I) Flavour study - evaluation of ANNs to predict consumer flavour preferences from trained sensory panel data and 2) Fragrance study ??? evaluation of different ANN architectures to predict consumer fragrance liking from trained sensory panel data. In this study, a multi-layer feedforward neural network architecture with input, hidden and output layer(s) was designed. The back-propagation algorithm was utilised in training of neural networks. The network learning parameters such as learning rate and momentum rate were optimised by the grid experiments for a fixed number of learning cycles. In flavour study, ANNs were trained using the trained sensory panel raw data as well as transformed data. The networks trained with sensory panel raw data achieved 98% correct learning, whereas the testing was within the range of 28 -35%. A suitable transformation methods were applied to reduce the variations in trained sensory panel raw data. The networks trained with transformed sensory panel data achieved between 80-90% correct learning and 80-95% correct testing. In fragrance study, ANNs were trained using the trained sensory panel raw data as well as principal component data. The networks trained with sensory panel raw data achieved 100% correct learning, and testing was in a range of 70-94%. Principal component analysis was applied to reduce redundancy in the trained sensory panel data. The networks trained with principal component data achieved about 100% correct learning and 90% correct testing. It was shown that due to its excellent noise tolerance property and ability to predict more than one type of consumer liking using a single model, the ANN approach promises to be an effective modelling tool.
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Bauckmann, Jana, Ulf Leser y Felix Naumann. "Efficient and exact computation of inclusion dependencies for data integration". Universität Potsdam, 2010. http://opus.kobv.de/ubp/volltexte/2010/4139/.

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Data obtained from foreign data sources often come with only superficial structural information, such as relation names and attribute names. Other types of metadata that are important for effective integration and meaningful querying of such data sets are missing. In particular, relationships among attributes, such as foreign keys, are crucial metadata for understanding the structure of an unknown database. The discovery of such relationships is difficult, because in principle for each pair of attributes in the database each pair of data values must be compared. A precondition for a foreign key is an inclusion dependency (IND) between the key and the foreign key attributes. We present with Spider an algorithm that efficiently finds all INDs in a given relational database. It leverages the sorting facilities of DBMS but performs the actual comparisons outside of the database to save computation. Spider analyzes very large databases up to an order of magnitude faster than previous approaches. We also evaluate in detail the effectiveness of several heuristics to reduce the number of necessary comparisons. Furthermore, we generalize Spider to find composite INDs covering multiple attributes, and partial INDs, which are true INDs for all but a certain number of values. This last type is particularly relevant when integrating dirty data as is often the case in the life sciences domain - our driving motivation.
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Ilesanmi, Olufemi Olajide. "Privacy in RFID Transit Systems : A case study of SL - Storstockholms Lokaltrafik". Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177584.

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Radio Frequency Identification (RFID) is a technology that facilitates wirelesscommunication. It is being widely used for access control purposes to aid administration ofservices. As with most wireless technologies, RFID has its challenges, due to its medium (radio waves) of communication, which makes it susceptible to signal interception and other possible attacks. The goal of this project is to investigate the insecurities in the implementation of the RFID system in transit (Storstockholms Lokaltrafik, Stockholm) systems. Due to the nature of the system, spatial information about consumers are accumulated over time thereby attracting some level of interests either legitimate or illegitimate, and raising some concerns. This thesis, takes into consideration the vulnerabilities of the RFID system and the potential security risks consumers of the system are exposed to, a detailed analysis is carried out on the existing infrastructure with the goal of exposing the shortcomings of the systems and proposing mitigating solutions. After an extensive work, seven (7) threats to privacy and security of RFID users were elaborated. Also discussion, about how different legislations around the world enforced data handling regulations in relation to commuter data, is carried out. Finally, most recent threats to consumer privacy are taken into consideration, as well as security in the mass transit field to put together a list of recommended safe practices. The work shows that RFID does pose significant threat to consumer privacy. One might argue that RFID has its benefits in its various implementations. However the fact remains that there are issues with regards to privacy that must to be addressed.
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Mestre, María del Rosario. "Bayesian predictive models of user intention". Thesis, University of Cambridge, 2015. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.708641.

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Libros sobre el tema "Consumer profiling – data processing"

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Foster, Jonathan, Angela Lin y Paul Scifleet. Consumer information systems and relationship management: Design, implementation, and use. Hershey, PA: Business Science Reference, 2013.

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Zuboff, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York, USA: Public Affairs, 2019.

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Research, United States Employment and Training Administration Office of Policy and. Evaluation of workers profiling and reemployment services systems: Report to Congress. Washington D.C: U.S. Department of Labor, Employment and Training Administration, 1997.

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Research, United States Employment and Training Administration Office of Policy and. Evaluation of worker profiling and reemployment services policy workgroup: Final report and recommendations. Washington, D.C: The Office, 1999.

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M, Worcester Robert y Downham John, eds. Consumer market research handbook. 3a ed. Amsterdam: North-Holland, 1986.

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Mooney, Carla. Online privacy and business. San Diego, CA: ReferencePoint Press, Inc., 2015.

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A, Goncharuk I͡A. Organizat͡sii͡a mashinnoĭ obrabotki ėkonomicheskoĭ informat͡sii v potrebitelʹskoĭ kooperat͡sii. Moskva: "Ėkonomika", 1986.

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Lewis, C. D. Going local: IT for front line consumer services : a case study in information technology. Luton: Local Government Training Board, 1986.

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Ramirez, Deborah. A resource guide on racial profiling data collection system: Promising practices and lessons learned. Washington, DC (950 Pennsylvania Ave., NW, Washington 20530): U.S. Dept. of Justice, 2000.

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Mitchell, Jeremy. Electronic banking and the consumer: The European dimension. London: Policy Studies Institute, 1988.

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Capítulos de libros sobre el tema "Consumer profiling – data processing"

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Brockmann, Karl Ludwig, Jens Hemmelskamp y Olav Hohmeyer. "Definitions, Database and Data Processing". En Certified Tropical Timber and Consumer Behaviour, 42–45. Heidelberg: Physica-Verlag HD, 1996. http://dx.doi.org/10.1007/978-3-642-51735-8_6.

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González, Ana, Ana M. Bernardos, Carlos J. Gallego y José R. Casar. "Leveraging Smart Meter Data for Adaptive Consumer Profiling". En 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023), 174–84. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-42529-5_17.

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Abedjan, Ziawasch. "An Introduction to Data Profiling". En Lecture Notes in Business Information Processing, 1–20. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96655-7_1.

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Spenrath, Yorick, Marwan Hassani y Boudewijn F. van Dongen. "Online Prediction of Aggregated Retailer Consumer Behaviour". En Lecture Notes in Business Information Processing, 211–23. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98581-3_16.

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AbstractPredicting the behaviour of consumers provides valuable information for retailers, such as the expected spend of a consumer or the total turnover of the retailer. The ability to make predictions on an individual level is useful, as it allows retailers to accurately perform targeted marketing. However, with the expected large number of consumers and their diverse behaviour, making accurate predictions on an individual consumer level is difficult. In this paper we present a framework that focuses on this trade-off in an online setting. By making predictions on a larger number of consumers at a time, we improve the predictive accuracy but at the cost of usefulness, as we can say less about the individual consumers. The framework is developed in an online setting, where we update the prediction model and make new predictions over time. We show the existence of the trade-off in an experimental evaluation on a real-world dataset consisting of 39 weeks of transaction data.
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Cai, Huali, Yawei Jiang y Jingshu Zhang. "Influence Factors of Consumer Satisfaction Based on SEM". En Data Processing Techniques and Applications for Cyber-Physical Systems (DPTA 2019), 189–93. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-1468-5_25.

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Viegas, Joaquim L., Susana M. Vieira y João M. C. Sousa. "Mining Consumer Characteristics from Smart Metering Data through Fuzzy Modelling". En Information Processing and Management of Uncertainty in Knowledge-Based Systems, 562–73. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40596-4_47.

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Galperin, E. I. "Recording Procedures and Data Processing". En Vertical Seismic Profiling and Its Exploration Potential, 42–84. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-5195-2_3.

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Zarsky, Tal. "Responding to the Inevitable Outcomes of Profiling: Recent Lessons from Consumer Financial Markets, and Beyond". En Data Protection in a Profiled World, 53–74. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8865-9_4.

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Shi, Xiuli. "Influence of Human Capital on Consumer Expenditure Under Big Data". En 2020 International Conference on Data Processing Techniques and Applications for Cyber-Physical Systems, 577–82. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1726-3_71.

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Durá Gil, Juan V., Alfredo Remon, Iván Martínez Rodriguez, Tomas Pariente-Lobo, Sergio Salmeron-Majadas, Antonio Perrone, Calina Ciuhu-Pijlman et al. "3D Human Big Data Exchange Between the Healthcare and Garment Sectors". En Technologies and Applications for Big Data Value, 225–52. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-78307-5_11.

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Abstract3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.Currently, hospitals store and grow massive collections of 3D data that are not accessible by researchers, professionals or companies. About 2.7 petabytes a year are stored in the EU26.In parallel to the advances made in the healthcare sector, a new, low-cost 3D body-surface scanning technology has been developed for the goods consumer sector, namely, apparel, animation and art. It is estimated that currently one person is scanned every 15 min in the USA and Europe. And increasing.The 3D data of the healthcare sector can be used by designers and manufacturers of the consumer goods sector. At the same time, although 3D body-surface scanners have been developed primarily for the garment industry, 3D scanners’ low cost, non-invasive character and ease of use make them appealing for widespread clinical applications and large-scale epidemiological surveys.However, companies and professionals of the consumer goods sector cannot easily access the 3D data of the healthcare sector. And vice versa. Even exchanging information between data owners in the same sector is a big problem today. It is necessary to overcome problems related to data privacy and the processing of huge 3D datasets.To break these silos and foster the exchange of data between the two sectors, the BodyPass project has developed: (1) processes to harmonize 3D databases; (2) tools able to aggregate 3D data from different huge datasets; (3) tools for exchanging data and to assure anonymization and data protection (based on blockchain technology and distributed query engines); (4) services and visualization tools adapted to the necessities of the healthcare sector and the garment sector.These developments have been applied in practical cases by hospitals and companies of in the garment sector.
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Actas de conferencias sobre el tema "Consumer profiling – data processing"

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Balasuriya, Pamuda, Ranilka Perera, Sachini Rajapaksha, Janaka Wijayakulasooriya, Janaka Ekanayake, Ronald Comester y Lankanath Deshapriya. "Deep Learning-Based Consumer Profiling from Smart Meter Data". En 2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS). IEEE, 2021. http://dx.doi.org/10.1109/iciis53135.2021.9660668.

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Schippers, Hendrik y Christian Wietfeld. "Data-Driven Energy Profiling for Resource-Efficient 5G Vertical Services". En 2024 IEEE 21st Consumer Communications & Networking Conference (CCNC). IEEE, 2024. http://dx.doi.org/10.1109/ccnc51664.2024.10454791.

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Caesar, Himmel y Schmidt. "Data-Driven Array Processor for Video Signal Processing". En IEEE International Conference on Consumer Electronics. IEEE, 1990. http://dx.doi.org/10.1109/icce.1990.665978.

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Lee, Youngiae, Jinhong Kim y Kiltaek Lim. "Development of Data Acquisition System for Collecting and Processing Data". En 2020 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2020. http://dx.doi.org/10.1109/icce46568.2020.9042992.

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Benaissa, Brahim y Masakazu Kobayashi. "Design aesthetics recommender system based on customer profile and wanted affect". En 9th International Conference on Kansei Engineering and Emotion Research (KEER2022). Kansei Engineering and Emotion Research (KEER), 2022. http://dx.doi.org/10.5821/conference-9788419184849.19.

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Product recommendation systems have been instrumental in online commerce since the early days. Their development is expanded further with the help of big data and advanced deep learning methods, where consumer profiling is central. The interest of the consumer can now be predicted based on the personal past choices and the choices of similar consumers. However, what is currently defined as a choice is based on quantifiable data, like the product features, cost, and type. This paper investigates the possibility of profiling customers based on the preferred product design and wanted affects. We considered the case of vase design, where we study individual Kansei of each design. The personal aspects of the consumer considered in this study were decided based on our literature review conclusions on the consumer response to product design. We build a representative consumer model that constitutes the recommendation system's core using deep learning. It asks the new consumers to provide what affect they are looking for, through Kansei adjectives, and recommend; as a result, the aesthetic design that will most likely cause that affect.
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Tabak, Gizem, Xintian Eddie Lin y Andrew C. Singer. "High Data Rate Near-Ultrasonic Communication with Consumer Devices". En 2021 29th European Signal Processing Conference (EUSIPCO). IEEE, 2021. http://dx.doi.org/10.23919/eusipco54536.2021.9615967.

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Furuichi, Tetsuo y Hiroshi Mineno. "Distributed data processing method for next generation IoT system". En 2016 IEEE 5th Global Conference on Consumer Electronics. IEEE, 2016. http://dx.doi.org/10.1109/gcce.2016.7800441.

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Manivannan, Madhavan, Anurag Negi y Per Stenstrom. "Efficient Forwarding of Producer-Consumer Data in Task-Based Programs". En 2013 42nd International Conference on Parallel Processing (ICPP). IEEE, 2013. http://dx.doi.org/10.1109/icpp.2013.64.

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Peters, Emmanuel S. y Nicholas Maxemchuk. "Creating a secure processing tree for anonymous distributed data processing in the cloud". En 2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2017. http://dx.doi.org/10.1109/ccnc.2017.7983130.

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Guo, Jian, Kun Qian, Huijie Xu, Christoph Janott, Bjorn Schuller y Satoshi Matsuoka. "GPU-based fast signal processing for large amounts of snore sound data". En 2016 IEEE 5th Global Conference on Consumer Electronics. IEEE, 2016. http://dx.doi.org/10.1109/gcce.2016.7800498.

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Informes sobre el tema "Consumer profiling – data processing"

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Krogmeier, J. y Darcy Bullock. Statewide Wireless Communications Project,Volume 3 - Data Collection and Signal Processing for Improvement of Road Profiling and Proof of Concept of a Vehicle-Inftrastructure Based Road Surface Monitoring Application. West Lafayette, IN: Purdue University, 2008. http://dx.doi.org/10.5703/1288284314220.

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Bhatt, Parth, Curtis Edson y Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, septiembre de 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we developed a processing workflow of UAS imagery collected in a dense forest (e.g., coniferous/deciduous forest and contiguous wetlands) area allowing users to process large datasets with acceptable mosaicking and georeferencing errors. Imagery was acquired with near-infrared (NIR) and red, green, blue (RGB) cameras with no ground control points. Image quality of two different UAS collection platforms were observed. Agisoft Metashape, a photogrammetric suite, which uses SfM (Structure from Motion) techniques, was used to process the imagery. The results showed that an UAS having a consumer grade Global Navigation Satellite System (GNSS) onboard had better image alignment than an UAS with lower quality GNSS.
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Cairo, Jessica, Iulia Gherman y Paul Cook. The effects of consumer freezing of food on its use-by date. Food Standards Agency, julio de 2021. http://dx.doi.org/10.46756/sci.fsa.ret874.

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The current Food Standards Agency consumer guidance states that consumers can freeze pre-packed food right up to the “use-by” date and, once food has been defrosted, it should be consumed within 24 hours. This strategic review has collated relevant data to determine whether there is an increased risk in relation to freezing ready-to-eat and non-ready-to-eat foods on the use-by date compared to the day before the use-by date. The review has focused on how the shelf-life of a food is determined and the effects of freezing, thawing and refrigeration on foodborne pathogens, including Bacillus spp., Campylobacter spp., Clostridium botulinum, Clostridium perfringens, Listeria monocytogenes, Salmonella, pathogenic Escherichia coli and Shigella spp. In the UK, food business operators are responsible for setting the safe shelf-life of a food which, in practice, should take into consideration the consumer habits, as well as the factors affecting shelf-life, such as food product characteristics, food processing techniques, transport, retail and domestic food storage temperatures, and type of packaging. Some countries, such as Ireland, New Zealand and Canada specifically recommend including safety margins within shelf lives. This is used to maintain brand integrity because it ensures that the food is consumed in its optimum condition. The FSA has collaborated with other organisations in the production of several guidance documents; however, there is no explicit requirement for the consideration of a margin of safety when setting shelf-life. There is also no legal requirement in the UK to consider a safety margin when setting shelf-life. According to regulations, pathogens should not be present in sufficient levels to cause foodborne illness on the use-by date, as food should still be safe to eat on that day. Given that these requirements are met, the risk assessed in this report arises from the processes of freezing, thawing and subsequent refrigerated storage for a further 24 hours, and the potential for these to increase pathogen levels. In this review, it was found that there is a risk of additional growth of certain pathogens during the refrigerated storage period although the impact of freezing and thawing on the extent of this growth was not readily evident. This risk would relate specifically to ready-to-eat foods as cooking of non-ready-to-eat foods after defrosting would eliminate pathogens. This report explores the potential issues related to consumer freezing on the use-by date and identifies additional information or research required to understand the risks involved. Overall, there is little evidence to suggest a significant change in risk between consumers freezing ready-to-eat food on the use-by date compared to freezing the food on the day before the use-by date. Specific areas that merit further research include the risks due to low temperature survival and growth of L. monocytogenes. There is also a lack of research on the effects of freezing, defrosting and refrigeration on the growth and toxin production of non-proteolytic C. botulinum, and the growth of Salmonella during domestic freezing and thawing. Finally, more information on how food business operators set shelf-life would enable a better understanding of the process and the extent of the safety margin when determining shelf-life of ready-to-eat and non-ready-to-eat foods.
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Schaur, Georg, Christian Volpe Martincus y Jerónimo Carballo. Trust No One?: Security and International Trade. Inter-American Development Bank, junio de 2016. http://dx.doi.org/10.18235/0011739.

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Security concerns in a context of increasingly segmented supply chains haveled to stricter border control measures, which may potentially negatively affect international trade. Customs around the world have therefore implemented security-motivated certification programs to facilitate licit trade. These programs offer trustworthy trading firms, i.e., Authorized Economic Operators (AEOs), several advantages in the administrative processing of their shipments including less frequent physical inspections and expedited customs clearance. In this study we focus on Mexico's AEO Program NEEC. In particular, we evaluate the impact of this program by primarily carrying out differences-in-differences estimations on highly disaggregated firm-level data that cover the entire universe of export and import transactions of the country over the period 2009-2014. Estimation results suggest that NEEC has been associated with less physical inspections and shorter clearance times and has thereby favored increased firms' exports. Effects seem to be stronger on the frequency of shipments and on consumer goods, industrial inputs, and capital goods.
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Avis, William. Drivers, Barriers and Opportunities of E-waste Management in Africa. Institute of Development Studies (IDS), diciembre de 2021. http://dx.doi.org/10.19088/k4d.2022.016.

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Population growth, increasing prosperity and changing consumer habits globally are increasing demand for consumer electronics. Further to this, rapid changes in technology, falling prices and consumer appetite for better products have exacerbated e-waste management challenges and seen millions of tons of electronic devices become obsolete. This rapid literature review collates evidence from academic, policy focussed and grey literature on e-waste management in Africa. This report provides an overview of constitutes e-waste, the environmental and health impacts of e-waste, of the barriers to effective e-waste management, the opportunities associated with effective e-waste management and of the limited literature available that estimate future volumes of e-waste. Africa generated a total of 2.9 million Mt of e-waste, or 2.5 kg per capita, the lowest regional rate in the world. Africa’s e-waste is the product of Local and imported Sources of Used Electronic and Electrical Equipment (UEEE). Challenges in e-waste management in Africa are exacerbated by a lack of awareness, environmental legislation and limited financial resources. Proper disposal of e-waste requires training and investment in recycling and management technology as improper processing can have severe environmental and health effects. In Africa, thirteen countries have been identified as having a national e-waste legislation/policy.. The main barriers to effective e-waste management include: Insufficient legislative frameworks and government agencies’ lack of capacity to enforce regulations, Infrastructure, Operating standards and transparency, illegal imports, Security, Data gaps, Trust, Informality and Costs. Aspirations associated with energy transition and net zero are laudable, products associated with these goals can become major contributors to the e-waste challenge. The necessary wind turbines, solar panels, electric car batteries, and other "green" technologies require vast amounts of resources. Further to this, at the end of their lifetime, they can pose environmental hazards. An example of e-waste associated with energy transitions can be gleaned from the solar power sector. Different types of solar power cells need to undergo different treatments (mechanical, thermal, chemical) depending on type to recover the valuable metals contained. Similar issues apply to waste associated with other energy transition technologies. Although e-waste contains toxic and hazardous metals such as barium and mercury among others, it also contains non-ferrous metals such as copper, aluminium and precious metals such as gold and copper, which if recycled could have a value exceeding 55 billion euros. There thus exists an opportunity to convert existing e-waste challenges into an economic opportunity.
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Beavers, Calvin, Chad Day, Austin Krietemeyer, Scott Peterson, Yushin Ahn y Xiaojun Li. Mapping of Pavement Conditions Using Smartphone/Tablet LiDAR Case Study: Sensor Performance Comparison. Mineta Transportation Institute, julio de 2024. http://dx.doi.org/10.31979/mti.2024.2224.

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Poor road conditions affect millions of drivers, and assessing the condition of paved surfaces is a critical step towards repairing them. This project explores the feasibility of using the Apple iPad Pro LiDAR sensor as a cost-effective tool for assessing the damage and condition of paved surfaces. Our research aims to provide accurate and precise measurements using readily available consumer devices and compare the results to state-of-the-art equipment. This investigation involved visual inspection, identification, and classification of pavement distresses, followed by a comparison of the iPad and iPhone LiDAR data with a survey-grade terrestrial laser scanner. The project revealed several limitations of the iPad Pro-based LiDAR approach. The level of detail captured in the scans was relatively low, with a best-case resolution of 1 cm and an inability to detect smaller cracks and shallow potholes. Longer scans (in terms of both time and distance) led to geometric anomalies in the surface models. Colorized scans provided some visual contrast, aiding in the identification of damage, particularly on moderately damaged concrete surfaces. The potential sources of error were identified, including the performance of the Inertial Measurement Unit (IMU), the limitations of the LiDAR sensor itself, and the opaque nature of onboard data processing within the 3D Scanner App. Suggestions for improvement included the use of gimbal stabilizers to enhance scan quality and the exploration of more intensive PC-based processing for raw data analysis. Hardware advancements by Apple and software enhancements by app developers were also highlighted as potential areas for future improvement. While the project revealed limitations and challenges, the authors acknowledge the possibility of future hardware upgrades, augmented reality advancements, and improvements in sensor accuracy and processing. However, based on this project’s findings, the iPad Pro LiDAR approach currently falls short of providing the necessary resolution and accuracy required for comprehensive roadway damage assessment. Results indicate that additional developments are necessary to address the identified limitations and make this method a viable and cost-effective solution for roadway surface evaluation.
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Blumwald, Eduardo y Avi Sadka. Citric acid metabolism and mobilization in citrus fruit. United States Department of Agriculture, octubre de 2007. http://dx.doi.org/10.32747/2007.7587732.bard.

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Accumulation of citric acid is a major determinant of maturity and fruit quality in citrus. Many citrus varieties accumulate citric acid in concentrations that exceed market desires, reducing grower income and consumer satisfaction. Citrate is accumulated in the vacuole of the juice sac cell, a process that requires both metabolic changes and transport across cellular membranes, in particular, the mitochondrial and the vacuolar (tonoplast) membranes. Although the accumulation of citrate in the vacuoles of juice cells has been clearly demonstrated, the mechanisms for vacuolar citrate homeostasis and the components controlling citrate metabolism and transport are still unknown. Previous results in the PIs’ laboratories have indicated that the expression of a large number of a large number of proteins is enhanced during fruit development, and that the regulation of sugar and acid content in fruits is correlated with the differential expression of a large number of proteins that could play significant roles in fruit acid accumulation and/or regulation of acid content. The objectives of this proposal are: i) the characterization of transporters that mediate the transport of citrate and determine their role in uptake/retrieval in juice sac cells; ii) the study of citric acid metabolism, in particular the effect of arsenical compounds affecting citric acid levels and mobilization; and iii) the development of a citrus fruit proteomics platform to identify and characterize key processes associated with fruit development in general and sugar and acid accumulation in particular. The understanding of the cellular processes that determine the citrate content in citrus fruits will contribute to the development of tools aimed at the enhancement of citrus fruit quality. Our efforts resulted in the identification, cloning and characterization of CsCit1 (Citrus sinensis citrate transporter 1) from Navel oranges (Citrus sinesins cv Washington). Higher levels of CsCit1 transcripts were detected at later stages of fruit development that coincided with the decrease in the juice cell citrate concentrations (Shimada et al., 2006). Our functional analysis revealed that CsCit1 mediates the vacuolar efflux of citrate and that the CsCit1 operates as an electroneutral 1CitrateH2-/2H+ symporter. Our results supported the notion that it is the low permeable citrateH2 - the anion that establishes the buffer capacity of the fruit and determines its overall acidity. On the other hand, it is the more permeable form, CitrateH2-, which is being exported into the cytosol during maturation and controls the citrate catabolism in the juice cells. Our Mass-Spectrometry-based proteomics efforts (using MALDI-TOF-TOF and LC2- MS-MS) identified a large number of fruit juice sac cell proteins and established comparisons of protein synthesis patterns during fruit development. So far, we have identified over 1,500 fruit specific proteins that play roles in sugar metabolism, citric acid cycle, signaling, transport, processing, etc., and organized these proteins into 84 known biosynthetic pathways (Katz et al. 2007). This data is now being integrated in a public database and will serve as a valuable tool for the scientific community in general and fruit scientists in particular. Using molecular, biochemical and physiological approaches we have identified factors affecting the activity of aconitase, which catalyze the first step of citrate catabolism (Shlizerman et al., 2007). Iron limitation specifically reduced the activity of the cytosolic, but not the mitochondrial, aconitase, increasing the acid level in the fruit. Citramalate (a natural compound in the juice) also inhibits the activity of aconitase, and it plays a major role in acid accumulation during the first half of fruit development. On the other hand, arsenite induced increased levels of aconitase, decreasing fruit acidity. We have initiated studies aimed at the identification of the citramalate biosynthetic pathway and the role(s) of isopropylmalate synthase in this pathway. These studies, especially those involved aconitase inhibition by citramalate, are aimed at the development of tools to control fruit acidity, particularly in those cases where acid level declines below the desired threshold. Our work has significant implications both scientifically and practically and is directly aimed at the improvement of fruit quality through the improvement of existing pre- and post-harvest fruit treatments.
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