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Artykuły w czasopismach na temat "Smart label"

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KABIR, REASHAD BIN. "SMART LABEL: A NEW PARADIGM FOR THE APPAREL INDUSTRY." International Journal of Multidisciplinary Research and Studies 02, no. 12 (2019): 01–04. http://dx.doi.org/10.33826/ijmras/v02i120401.

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Modern era is encircled by technological development. Conventional label which is a common item in apparel industry need to be replaced by smart one. In this paper several types of smart label is introduced, that are adapted in recent time. Some of the labels that are conferred here still are in emerging phase and their uses are still limited to apparel or clothing items.
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MUQADDIM, NOORUL, TARIQUE MAHMOOD, and REASHAD BIN KABIR. "SMART LABEL: A NEW PARADIGM FOR THE APPAREL INDUSTRY." International Journal of Multidisciplinary Research and Studies 02, no. 12 (2019): 01–04. http://dx.doi.org/10.33826/ijmras/v02i1204.

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The modern era is encircled by technological development. Conventional labels which are a common item in the apparel industry need to be replaced by smart ones. In this paper several types of the smart label is introduced, that are adapted in recent time. Some of the labels that are conferred here still are in emerging phase and their uses are still limited to apparel or clothing items.
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Rusdianto, Andrew Setiawan, and Desita Wirda Ramadhan. "Smart Label with Color Indicator Made of Purple Sweet Potato (Ipomoea Batatas L.) on The Bottle Packaging of Pasteurized Milk." International Journal on Food, Agriculture and Natural Resources 2, no. 3 (2021): 12–19. http://dx.doi.org/10.46676/ij-fanres.v2i3.35.

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Smart label has made it possible to monitor and communicate information about the quality of packaged foods. Smart label is immobilized with natural dyes that are sensitive to changes in pH, namely anthocyanins. The product used in this research is pasteurized milk. The pH quality of milk will affect the storage temperature. The purpose of this study was to develop a prototype smart label of purple sweet potato’s anthocyanin extract and to determine the feasibility of a smart label on the packaging as an indicator of milk freshness. Purple sweet potato extract was obtained by the maceration me
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Axiomawan, Firman Yudha, Nugraha Edhi Suyatma, and Muhammad Arpah. "Pengembangan Label Cerdas Kolorimetrik untuk Indikator Kesegaran Lobster Air Tawar dari Film PVA dan Chitosan dengan Ekstrak Kulit Buah Naga Merah." Jurnal Teknologi dan Industri Pangan 35, no. 2 (2024): 185–97. https://doi.org/10.6066/jtip.2024.35.2.185.

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Crayfish (Cherax quadricarinatus) is an economically valuable fishery product but its freshness and nutritional content decreases quickly during storage. To observe the freshness level of crayfish, a smart label was developed with the addition of color indicators made from red dragon fruit peel extracts (RDFPE). The purpose of this study was to apply RDFPE as an indicator of colorimetric smart labels in monitoring the freshness of crayfish. There were four levels of RDFPE, namely 0, 15, 20, and 25%. When different levels of pH were used, RDFPE colors changed. Optimization using Design Expert (
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Sari, Vonny Indah, Neng Susi, Vivin Jenika Putri, Anania Rahmah, and Muhammad Rizal. "Smart Labels as Indicators of Tomato Freshness Using Mangosteen Peel Extract." IOP Conference Series: Earth and Environmental Science 1177, no. 1 (2023): 012049. http://dx.doi.org/10.1088/1755-1315/1177/1/012049.

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Abstract Tomato is one of the most popular tropical fruits because it tastes fresh and can be consumed directly or processed as a seasoning, garnish, and industrial raw material. Tomato cultivation is increasing with the increasing demand for tomatoes in the market. As a perishable product, many efforts have been made to maintain the quality of fresh tomatoes, one of which is by packing fresh tomatoes using innovative packaging. Smart packaging is packaging with an additional label to provide information to consumers without touching the product, so that product cleanliness is maintained. Seve
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Venny Diah Ningsih. "Pengembangan Sensor Kesegaran Buah Pepaya Potong (Carica Papaya L.) Pada Kemasan Pintar Berbasis Indikator pH Alami Kunyit (Curcuma Longa L.)." Jurnal Farmasi Tinctura 3, no. 1 (2021): 35–39. http://dx.doi.org/10.35316/tinctura.v3i1.1601.

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Papaya cut easily loses quality, so a smart label is needed to detect the freshness of the papaya cut.. Smart label for detecting papaya freshness are made by immobilizing whatmann filter paper membrane on the indicator of turmeric. Smart label have a 2 minutes response time, good reproducibility is indicated by the RSD values <5%, and the usage time is 15 days. Smart label have been successfully applied to detect freshness of cut papayas on the market
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Muqaddim, Noorul, Tarique Mahmood, and Reashad Bin Kabir. "Smart Label: A New Paradigm For The Apparel Industry." International Journal of Multidisciplinary Research and Studies 02, no. 12 (2019): 1–13. http://dx.doi.org/10.33826/ijmras/v02i12-01.

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Silvia, Deli, Anisah Nur Nabilah Ishaq, and Wiwi Prastiwinarti. "Smart Label Based on Red Cabbage Extract (Brassica oleracea) as an Indicator of Freshness of Tuna Fillets at Chiller Temperature." Jurnal FishtecH 10, no. 2 (2022): 86–94. http://dx.doi.org/10.36706/fishtech.v10i2.15117.

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Tuna fillets are considered good media for the growth of microorganisms because it contains a high protein level. In order to determine the rottenness of the tuna fillet, smart packaging is needed. Research has been carried out on making smart labels based on red cabbage extract as an indicator of the freshness of tuna fillets at chiller temperatures. The purpose of this research was to find the best pH variation of red cabbage extract for use as a tuna fillet indicator label. The indicator labels were made with variations in pH 2, 5, 8, and 11. The tests conducted in this research including m
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Nurfawaidi, Arjun, Bambang Kuswandi, and Lestyo Wulandari. "Pengembangan Label Pintar untuk Indikator Kesegaran Daging Sapi pada Kemasan." Pustaka Kesehatan 6, no. 2 (2018): 199. http://dx.doi.org/10.19184/pk.v6i2.7560.

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 Meat is a high nutritional food that rich of protein, fat, and sugar. Smart label has been applied as a beef freshness detector. Two types of pH indicator have been used i.e bromocresol purple (BCP) and methyl red (MR) as dual indicator freshness. The objective of this research was to determine the beef freshness using smart label at room temperature. The color change of the smart label was examined by imageJ software to determine the freshness degree using the mean RGB value. The beef was examined every 2 hours for pH and total volatile base (TVB-N) analysis during the 24 hours storage
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Supardianningsih, Supardianningsih, Afifah Mutsla, Meisi Riana, Septia Ardiani, and Bunda Amalia. "Development of Smart Packaging Film Label based on pH Sensor from Natural Source: Red Spinach for Freshness Detector of Meat." Journal of Aceh Physics Society 12, no. 3 (2023): 8–14. http://dx.doi.org/10.24815/jacps.v12i3.32303.

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Abstrak. Smart packaging merupakan salah satu teknologi baru dalam bidang pengemasan yang dapat menginformasikan perubahan yang terjadi pada produk atau lingkungannya seperti suhu, pH, dan pertumbuhan mikroba. Pada penelitian ini akan dikembangkan label film smart packaging berbasis sensor pH dari sumber alami berupa ekstrak bayam merah. Dari hasil penelitian ditemukan bahwa ekstrak bayam merah dengan pH = 2 memiliki nilai serapan yang tinggi, paling asam, dan warna paling solid dibandingkan pH lainnya, dibuktikan dengan hasil UV-Vis dengan puncak tertinggi. Hasil pengujian FTIR menunjukan eks
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Rozprawy doktorskie na temat "Smart label"

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Lindén, Patricia. "Smart plombering och märkning." Thesis, Linköping University, Department of Mechanical Engineering, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-5557.

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<p>The background for this degree thesis is a need to replace the existing seal used to protect equipment containing secret or sensitive equipment used by Swedish Defence. The target design should satisfy both the need for tamper evidence and reduce Life Cycle Cost. In developing a new design for a seal, additional benefits such as improved logistics support and indication of attack methods such as heat and solvents have been considered.</p><p>The lack of guiding principles for end users of seals became evident during the interviews. Major concerns for the future are education of users, inform
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Hons, Viktor. "Detekce vad s využitím smart kamery." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442536.

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This thesis deals with the application of smart cameras and verification of its functions. In the first part the term smart camera is defined, the parts of it and the most common applications are presented. A review of smart cameras from the different manufactures on the market is made. After selection of the proper camera model three task from real industrial application are specified – inspection of capacitor print, inspection of beer label and dimension measurement. With the picked camera the tasks are performed, including the layout of workplace, scene and lighting. Further the reliability
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Cerullo, Alessandro. "The future of unit dose packaging: the new paper made smart Easysnap." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24673/.

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In questo elaborato viene raccontato il percorso progettuale che mi ha portato a realizzare un nuovo packaging monodoese, durante il mio tirocinio nell’azienda Easysnap. La fortuna dell’azienda sta proprio nell’aver brevettato un’innovativa tecnologia di apertura per monodose in plastica. In ottica di sostenibilità mi è stato richiesto di seguire lo sviluppo di una nuova soluzione in carta. Ma al giorno d’oggi non è sufficiente ottenere un packaging funzionante ed esteticamente pregevole; perchè un prodotto possa essere realmente competitivo sul mercato bisogna saper leggere i cambiamenti, pre
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Siddiqi, Saad Ahmed. "Smart Card Packaging Process Control System." Thesis, KTH, Kommunikationssystem, CoS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-100020.

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The project focuses on the packaging process of the smart card manufacturing industry. The idea of the project concerns how to increase production packaging efficiency by introducing a control system. After taking an in-depth look at the current production environment, the following system goals were defined: packaging time reduction, cost reduction, decrease in human errors, and reducing the number of customer complaints. To achieve these goals, the thesis project was divided into the following tasks: discovering a feasible solution, actual system development, testing, and evaluation. The pro
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Jakimovski, Predrag [Verfasser], and M. [Akademischer Betreuer] Beigl. "Collective Communications and Computation Mechanisms on the RF Channel for Organic Printed Smart Labels and Resource-limited IoT Nodes / Predrag Jakimovski ; Betreuer: M. Beigl." Karlsruhe : KIT-Bibliothek, 2019. http://d-nb.info/119406180X/34.

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Chang, T. K., and 張天國. "A Study on conductive function of ACF in Flip Chip process for smart label." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/25167815867533278283.

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碩士<br>義守大學<br>材料科學與工程學系<br>93<br>The purpose of this study is discussion of Anisotropic Conductive Adhesive (ACF) applied to Flip Chip process, which material and physical characteristics are analyzed to optimize the process types and parameters in a Flip Chip application. In order to increase the yield of production and improve the one way of electric conduction of nickel particles that is joined between gold bump and antenna, the optimization of process parameters with respect to material properties is necessary. The optimization of product will be validated by reliability tests to prove it
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Książki na temat "Smart label"

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Fairley, Michael. RFID Smart Labels. Tarsus Publishing Ltd, 2006.

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Warshaw, Hope S. Shopping Smart With the New Food Labels: How to Use the New Fda and Usda Food Labeling System to Make the Healthiest Food Choices in the Supermarket. Chronimed Pub, 1994.

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Payn, Michele. Food Truths from Farm to Table. ABC-CLIO, LLC, 2017. http://dx.doi.org/10.5040/9798400652738.

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Don't believe everything you're told about food–most of it is highly misleading or completely untrue. Written by a farm and food advocate, this book identifies marketing half-truths and guides you through the aisles of the grocery store to simplify smart food shopping and restore your freedom to enjoy food. What is the only "food" on your dinner table that does not contain hormones? How can animals raised for food also be treated with respect? Is it true that a typical serving of broccoli has more estrogen than a serving of steak? Why is more than 40 percent of food wasted in the United States
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Części książek na temat "Smart label"

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Hartmann, Knut, Kamran Ali, and Thomas Strothotte. "Floating Labels: Applying Dynamic Potential Fields for Label Layout." In Smart Graphics. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24678-7_10.

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Hartmann, Knut, Timo Götzelmann, Kamran Ali, and Thomas Strothotte. "Metrics for Functional and Aesthetic Label Layouts." In Smart Graphics. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11536482_10.

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Peterson, Stephen D., Magnus Axholt, Matthew Cooper, and Stephen R. Ellis. "Evaluation of Alternative Label Placement Techniques in Dynamic Virtual Environments." In Smart Graphics. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02115-2_4.

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Wanekaya, Adam K., Wilfred Chen, Nosang V. Myung, and Ashok Mulchandani. "Conducting Polymer Nanowire-Based Bio-Field Effect Transistor for Label-Free Detection." In Smart Biosensor Technology. CRC Press, 2018. http://dx.doi.org/10.1201/9780429429934-7.

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Liu, Hui, Chengming Yu, and Haiping Wu. "Smart Non-intrusive Device Recognition Based on Intelligent Single-Label Classification Methods." In Smart Device Recognition. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_3.

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Liu, Hui, Chengming Yu, and Haiping Wu. "Smart Non-intrusive Device Recognition Based on Intelligent Multi-label Classification Methods." In Smart Device Recognition. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-33-4925-4_4.

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Moeyaert, Benjamien, and Peter Dedecker. "pcSOFI as a Smart Label-Based Superresolution Microscopy Technique." In Methods in Molecular Biology. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-0470-9_17.

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Hemavati and R. Aparna. "Optimal Stacking Method with GA-Based Feature Selection for Multi-Label Classification." In Smart Innovation, Systems and Technologies. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-7094-6_7.

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Agarwal, Nancy, Mudasir Ahmad Wani, and Mohammed ELAffendi. "Hybrid Feature-Based Multi-label Text Classification—A Framework." In Advances in Cybersecurity, Cybercrimes, and Smart Emerging Technologies. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-21101-0_17.

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Gómez-Suárez, Mónica, Myriam Quiñones, and María Jesús Yagüe. "Cross-Cultural Validation of Smart Shopping Process and Its Influence on Brand Attitude." In Advances in National Brand and Private Label Marketing. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39946-1_19.

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Streszczenia konferencji na temat "Smart label"

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Gu, Qiliang, and Qin Lu. "Multi-Label Text Classification for Judicial Texts via Dual Graph and Label Feature Fusion." In 2024 IEEE Smart World Congress (SWC). IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00130.

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Gutiérrez-Megías, Alberto, Salud María Jiménez-Zafra, L. Alfonso Ureña, and Eugenio Martínez-Cámara. "Smart Lexical Search for Label Flipping Adversial Attack." In Proceedings of the Fifth Workshop on Privacy in Natural Language Processing. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.privatenlp-1.11.

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Ndama, Oussama, Ismail Bensassi, and El Motkhtar En-Naimi. "DeBERTa-Enhanced Extreme Multi-Label Classification for Biomedical Articles." In 2024 Mediterranean Smart Cities Conference (MSCC). IEEE, 2024. http://dx.doi.org/10.1109/mscc62288.2024.10697067.

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Zhou, Siyuan, and Hongxia Bie. "A Label-focused Transformer for Generating Illness-aware Medical Reports." In 2024 IEEE Smart World Congress (SWC). IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00228.

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Tang, Hao, Bingfeng Zhang, Hanyang Chi, and Jin Wang. "Multistage Disturbances Label Mixing for Weakly-supervised Medical Image Segmentation." In 2024 IEEE Smart World Congress (SWC). IEEE, 2024. https://doi.org/10.1109/swc62898.2024.00195.

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Farasalsabila, Fidya, Ema Utami, and Suwanto Raharjo. "Multi-Label Classification using BERT for Cyberbullying Detection." In 2024 4th International Conference of Science and Information Technology in Smart Administration (ICSINTESA). IEEE, 2024. http://dx.doi.org/10.1109/icsintesa62455.2024.10748045.

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Ozeki, Ren, Haruki Yonekura, Hamada Rizk, and Hirozumi Yamaguchi. "Cellular-based Indoor Localization with Adapted LLM and Label-aware Contrastive Learning." In 2025 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2025. https://doi.org/10.1109/smartcomp65954.2025.00070.

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Li, Pengsong, Yuxin Yang, and Hongbo Li. "Multi-Label Image Recognition Algorithm Based on Convolutional Block Attention Module." In 2025 2nd International Conference on Smart Grid and Artificial Intelligence (SGAI). IEEE, 2025. https://doi.org/10.1109/sgai64825.2025.11009600.

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Novello, Nicola, and Andrea M. Tonello. "Label Noise Resistant f-Divergence Receiver for Power Line Communications." In 2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). IEEE, 2024. http://dx.doi.org/10.1109/smartgridcomm60555.2024.10738036.

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Fu, Yuzhuo, and Detlef Schulz. "Pattern Blending through Label Interpolation for Smart Meter Data Augmentation with Conditional Generative Adversarial Network." In 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2024. https://doi.org/10.1109/appeec61255.2024.10922413.

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Raporty organizacyjne na temat "Smart label"

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Cao, Shoufeng, Uwe Dulleck, Warwick Powell, Charles Turner-Morris, Valeri Natanelov, and Marcus Foth. BeefLedger blockchain-credentialed beef exports to China: Early consumer insights. Queensland University of Technology, 2020. http://dx.doi.org/10.5204/rep.eprints.200267.

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The BeefLedger Export Smart Contracts project is a collaborative research study between BeefLedger Ltd and QUT co-funded by the Food Agility CRC. This project exists to deliver economic value to those involved in the production, export and consumption of Australian beef to China through: (1) reduced information asymmetry; (2) streamlined compliance processes, and; (3) developing and accessing new data-driven value drivers, through the deployment of decentralised ledger technologies and associated governance systems. This report presents early insights from a survey deployed to Chinese consumer
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Haddad, J., L. A. Horta Nogueira, Germano Lambert-Torres, and L. E. Borges da Silva. Energy Efficiency and Smart Grids for Low Carbon and Green Growth in Brazil: Knowledge Sharing Forum on Development Experiences: Comparative Experiences of Korea and Latin America and the Caribbean. Inter-American Development Bank, 2015. http://dx.doi.org/10.18235/0007001.

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The Brazilian continental dimensions and diversified natural resources are proportional to the challenges to develop its infrastructure sustainably and supply proper public services to more than 200 million inhabitants. Energy consumption has doubled since 1990, fostered by economic growth and the expansion of middle class. In this context, promote energy efficiency, in a broad sense, is urgent and rational. Brazil has a relatively long history in promoting energy efficiency at final user level. A landmark of this process is the Brazilian Labeling Program, launched in 1984, as direct consequen
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