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Journal articles on the topic 'Storage platform'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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1

Xie, Yulai, Dan Feng, Yan Li, and Darrell D. E. Long. "Oasis: An active storage framework for object storage platform." Future Generation Computer Systems 56 (March 2016): 746–58. http://dx.doi.org/10.1016/j.future.2015.08.011.

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Yu, Jun Yang, He Liu, and Yuan Yuan Han. "Universities' Cloud Storage Platform Building Research." Advanced Materials Research 846-847 (November 2013): 1476–82. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1476.

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With the rapid development of Internet technology to promote the development of university information, the development of university information and the application of large amounts of electronic teaching resources makes the college data is growing rapidly. This paper introduces the concept of cloud storage and the status of universities storage system, a detailed analysis of the system architecture of cloud storage and how to build the cloud storage between universities.

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Ong, David C. C., Rytis Sileika, Souheil Khaddaj, and Radouane Oudrhiri. "Alternative Data Storage Solution for Mobile Messaging Services." Mobile Information Systems 3, no. 1 (2007): 39–54. http://dx.doi.org/10.1155/2007/416832.

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In recent years, mobile devices have become relatively more powerful with additional features which have the capability to provide multimedia streaming. Better, faster and more reliable data storage solutions in the mobile messaging platform have become more essential with these additional improvements. The existing mobile messaging infrastructure, in particular the data storage platform has become less proficient in coping with the increased demand for its services. This demand especially in the mobile messaging area (i.e. SMS – Short Messaging Service, MMS – Multimedia Messaging Service), which may well exceeded 250,000 requests per second, means that the need to evaluate competing data management systems has become not only necessary but essential. This paper presents an evaluation of SMS and MMS platforms using different database management systems – DBMS and recommends the best data management strategies for these platforms.

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Ye, Yan Xin, Jian Ming Cui, and Jian Ming Lui. "Achieving Message Board Function Based on Storage Services of the Windows Azure Platform." Applied Mechanics and Materials 380-384 (August 2013): 2411–14. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.2411.

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in order to study the development of the Windows Azure platform, the paper through the use of cloud computing, one of the platforms Windows Azure, using its Table Storage storage services,to realize a message board function; and realize a good combination of NET Framework and Windows Azure, and explore the Difference of the Microsoft Windows Azure cloud computing platform development and the difference between ordinary ASP.NET development.

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Beingolea, Jorge Rodolfo, Diego Ramos-Pires, Jorge Rendulich, Milagros Zegarra, Juan Borja-Murillo, and Simone A. Siqueira da Fonseca. "LeafLive-DB: Classification and Data Storage of Botanical Studies." Data 6, no. 3 (2021): 29. http://dx.doi.org/10.3390/data6030029.

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The development of studies, projects, and technologies that contribute to the understanding and preservation of plant biodiversity is becoming highly necessary, as well as tools and software platforms that enable the storage and classification of information resulting from studies on biodiversity. This work presents LeafLive-DB, a software platform that helps map and characterize species from the Brazilian plant biodiversity, offering the possibility of worldwide distribution. Developed by Brazilian and Peruvians researchers, this platform, which is available in its first version, features some functions for consulting and registering plant species and their taxonomy, among other information, through intuitive interfaces and an environment that promotes collaboration and data and research sharing. The platform innovates in data processing, functionality, and development architecture. It has ten thousand registers, and it should start to be distributed in partnership with schools and higher education institutions.

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Chen, Chao Hua, and Che Cheng Yeh. "Study on Inventory Policies for the On-Line Shopping Company with Quick Response Service." Applied Mechanics and Materials 411-414 (September 2013): 2251–57. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2251.

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Nowadays, large-scale B2C online shopping platforms tend to move toward a business model that is characterized by large product variety and small amounts. They also cooperate with professional warehouse management providers who offer inventory services to achieve the business goal of fast delivery to consumers. Due to the fact that the merchandise on online shopping platforms is usually sold on consignment, these businesses strive for inventory cost minimization, optimal use of storage space, and efficient inventory management based on differences between product supply and demand patterns. This study establishes an online shopping platform with quick response service capability by employing a systematic simulation method. The replenishment mechanism between the supplier and the platform warehouse is based on vendor-managed inventory methods. An optimal inventory management strategy is obtained through a simulation optimization method for the following three variables: product storage ratio, reorder points, and warehouse capacity. The research results of this study show that by controlling the product storage ratio at fixed warehouse capacity and reorder points, the backorder rate can be reduced from 22.06% to 13.01. If equal attention is paid to product storage ratio, reorder points, and warehouse capacity, the backorder rate can be decreased to 0 and the supply chain costs of the platform can be reduced as well. This clearly indicates that this storage control model provides optimal utilization of the available resources of the online shopping platform and an efficient utilization of storage space to reduce shortages and operational costs and achieve the business goal of quick service.

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AKPENPUUN, Timothy, Banjo AKINYEMI, and Tayo OYESOMI. "A comparative study of using a wooden storage box and storage platform for white yam tuber storage." Acta agriculturae Slovenica 111, no. 1 (2018): 17. http://dx.doi.org/10.14720/aas.2018.111.1.02.

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<p>The study was undertaken to evaluate the performances of an experimental box and platform, as storage structures for white yam tubers (<em>Dioscorea rotundata </em>Poir.). The criteria used for evaluation were the degree of mass loss during storage, tuber sprouting and rotting during the 20 weeks storageperiod: March - June 2015. Measurements of temperatures and relative humidity of the storage environment were taken three times daily during the period. Mass loss in each tuber was measured weekly while sprouts were removed from tubers weekly. Results show that the average temperature and relative humidity in the experimental box were 29.7 °C and 78.6 % respectively, while for the platform, they were 30.7 °C and 76.5 %., respectively. Rotting was completely absent on tubers in both storage approaches. White yam tubers stored in the box exhibited a cumulative mass loss of 9 %, while on the platform, it was15.0 %. The experimental box performed better in respect to mass loss and nutritional composition.</p>

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8

Wang, Taiyong, Li Zhao, Shiguang Hu, and Tao Wang. "Storage management strategy of flash-based platform." Transactions of Tianjin University 15, no. 4 (2009): 266–71. http://dx.doi.org/10.1007/s12209-009-0047-9.

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9

Sun, Y. X., S. H. Lee, and Y. J. Lee. "Cloud storage platform for efficient RDF compression." Journal of Physics: Conference Series 1195 (April 2019): 012002. http://dx.doi.org/10.1088/1742-6596/1195/1/012002.

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10

Hady, Frank T., Annie Foong, Bryan Veal, and Dan Williams. "Platform Storage Performance With 3D XPoint Technology." Proceedings of the IEEE 105, no. 9 (2017): 1822–33. http://dx.doi.org/10.1109/jproc.2017.2731776.

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Brown, Robert. "4457728 Storage transfer and production marine platform." Marine Pollution Bulletin 16, no. 1 (1985): iii. http://dx.doi.org/10.1016/0025-326x(85)90268-1.

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12

Dong, Hao, and Wenquan Han. "Design and Application of Bank Big Data Platform Based on Hadoop Technology." E3S Web of Conferences 214 (2020): 01028. http://dx.doi.org/10.1051/e3sconf/202021401028.

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At present, the design of big data platforms for many domestic banks is still insufficient. This article builds a Hadoop-based bank big data platform based on the big data platform construction experience of a large state-owned commercial bank. By introducing cutting-edge mainstream big data open-source tools, the overall architecture of the big data platform of commercial banks is built. At the same time, this article discusses critical technical solutions such as storage engine, resource management, calculation engine, analysis engine, interactive front end, and data management, task management, and user management to build a bank’s big data platform. This article hopes to provide a reference for other banks to make big data platforms.

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Nozik, Alexander. "DataForge: Modular platform for data storage and analysis." EPJ Web of Conferences 177 (2018): 05003. http://dx.doi.org/10.1051/epjconf/201817705003.

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DataForge is a framework for automated data acquisition, storage and analysis based on modern achievements of applied programming. The aim of the DataForge is to automate some standard tasks like parallel data processing, logging, output sorting and distributed computing. Also the framework extensively uses declarative programming principles via meta-data concept which allows a certain degree of meta-programming and improves results reproducibility.

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Han, Sheng, Dongqing Wu, Shuang Li, Fan Zhang, and Xinliang Feng. "Graphene: A Two-Dimensional Platform for Lithium Storage." Small 9, no. 8 (2013): 1173–87. http://dx.doi.org/10.1002/smll.201203155.

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15

Kokhan, Veronika. "Digital platform as a digital economy tool." Law and innovations, no. 1 (33) (April 5, 2021): 29–34. http://dx.doi.org/10.37772/2518-1718-2021-1(33)-4.

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Problem setting. Digital platforms ensure the digital activity of state bodies and business. They are tools for the digital transformation of socio-economic systems at all levels that implement network management. The functioning of digital platforms is not limited by borders, they can work anywhere. Now the digital platform has become a separate object of legal regulation, which has its own peculiarities and needs to be regulated by law. Analysis of recent researches and publications. Digital platforms are studied in the scientific works of Sichkarenko K. O., Lyashenko V. I., Vyshnevsky O. S., Yarmolenko Yu. O. Target of research. The purpose of the article is to provide a definition of the term “digital platform”, to describe the models of legal regulation of digital platforms, to identify the main problems connected with digital platforms maintaining. Article’s main body. The definitions of «digital platform», that are available in the scientific literature, contain primarily technological characteristics of this phenomenon, while we are interested in the legal features of digital platforms. From the law point of view, a digital platform should be defined as software or software and hardware that provides third parties access to the digital environment, ensures interaction and other activities between participators in order to develop their software or sell their products, works or services. Depending on the type (private or public), digital platforms have differences in legal regulation. A commercial model of legal regulation characterizes private digital platforms. State digital platforms are regulated because of a centralized model of legal regulation. The commercial platform is established by a legal act of a private company. The founder independently solves the basic questions of functioning of a platform. The activity of the platform is carried out on the basis of the acts of the founder, which are joined by all other participants who intend to use the platform. The state bodies establish public (state) digital platforms. The functioning of such a platform is determined by the law regulations of the state of the appropriate level. An authorized state body (platform operator) manages the digital platform. The activity of state digital platforms is limited to the territory of the state. The state digital platform is not for profit, unlike private ones, as it is created in order to increase the efficiency of public services through digitizing the processes of interaction with their consumers. No full-fledged state digital platforms have been created in Ukraine. Legal regulation of digital platforms should be aimed at solving the following problems: collection, processing and storage of big data; storage of personal data of platform users, trade secrets of legal entities; providing user access to the digital platform and non-discrimination in this area; employment regulation through the use of digital platforms; problems of competitiveness and monopoly in the business environment; taxation of the activity of the digital platform operator and the activity of its participants who sell goods or provide services. Conclusions and prospects for the development. The complex nature of the relations that arise within the functioning of digital platforms determines the complexity of the legal regulation of this object, as the activities of digital platforms affect both public (financial, tax) and private law (civil, commercial, labor). This means that the development of the digital economy requires radical changes in the general approaches to the legal regulation of a new type of economic relations.

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Marinelli, Martina, Vincenzo Positano, Valentina Lorenzoni, et al. "A modular informatics platform for effective support of collaborative and multicenter studies in cardiology." Health Informatics Journal 22, no. 4 (2016): 1083–100. http://dx.doi.org/10.1177/1460458215609743.

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Collaborative and multicenter studies permit a large number of patients to be enrolled within a reasonable time and providing the opportunity to collect different data. Informatics platforms play an important role in management, storage, and exchange of data between the participants involved in the study. In this article, we describe a modular informatics platform designed and developed to support collaborative and multicenter studies in cardiology. In each developed module, data management is implemented following local defined protocols. The modular characteristic of the developed platform allows independent transfer of different kinds of data, such as biological samples, imaging raw data, and patients’ digital information. Moreover, it offers safe central storage of the data collected during the study. The developed platform was successfully tested during a European collaborative and multicenter study, focused on evaluating multimodal non-invasive imaging to diagnose and characterize ischemic heart disease.

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17

Li, Yang. "Hadoop-Based Model of Mass Data Storage." Applied Mechanics and Materials 513-517 (February 2014): 632–34. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.632.

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Aiming at more and more data produced by network, it is extremely important to manage and store these data by using mass data storage platform. This paper presents a method of managing rationally and storing mass data based on distributed computing technique. It is based on Hadoop distributed platforms, mainly using the HDFS distributed file system, MapReduce parallel computing models and Hbase distributed database technology as massive data processing methods, to achieve the efficient storage. The model can overcome the existing deficiencies of the current means of storage and solve the problems of mass data in storage, which has good scalability and reliability, thus the efficiency of storage can be further improved.

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18

Hou, Qing, Lei Pan, Jia Xi Xu, and Kai Zhou. "Educational Resources Cloud Platform Based on Hadoop." Advanced Materials Research 912-914 (April 2014): 1249–53. http://dx.doi.org/10.4028/www.scientific.net/amr.912-914.1249.

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As the traditional educational resources platform exists some deficiencies in storage, parallel processing, and cost, we designed a cloud platform of educational resources based on Hadoop framework.The platform applied HDFS distributed file system to store massive data distributedly and applied MapReduce distributed programming framework to process data parallelly and scheduler resources, which solved the mass storage of resources and improved the efficiency of various resources retrieval.

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19

Plantin, Jean-Christophe, Carl Lagoze, and Paul N. Edwards. "Re-integrating scholarly infrastructure: The ambiguous role of data sharing platforms." Big Data & Society 5, no. 1 (2018): 205395171875668. http://dx.doi.org/10.1177/2053951718756683.

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Web-based platforms play an increasingly important role in managing and sharing research data of all types and sizes. This article presents a case study of the data storage, sharing, and management platform Figshare. We argue that such platforms are displacing and reconfiguring the infrastructure of norms, technologies, and institutions that underlies traditional scholarly communication. Using a theoretical framework that combines infrastructure studies with platform studies, we show that Figshare leverages the platform logic of core and complementary components to re-integrate a presently splintered scholarly infrastructure. By means of this logic, platforms may provide the path to bring data inside a scholarly communication system still optimized mainly for text publications. Yet the platform strategy also risks turning over critical scientific functions to private firms whose longevity, openness, and corporate goals remain uncertain. It may amplify the existing trend of splintering infrastructures, with attendant effects on equity of service.

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Zhang, Kai. "Research of Information Resource Storage Mode Based on Cloud Storage." Applied Mechanics and Materials 543-547 (March 2014): 2969–72. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.2969.

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This paper introduces the present situation of library information resource storage. And SAN mode base on cloud storage is mainly studied. And then, the structure of the system based on SAN is put forward. In addition, it illustrates the principle of RAID5 and parity algorithm. At last, layered structure of cloud storage platform is introduced.

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Chen, Hang, Shun Wen Jiang, and Gui Fen Chen. "Design and Implement Wireless Temperature Sensor Network Based on Distributed Platform." Applied Mechanics and Materials 303-306 (February 2013): 114–19. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.114.

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Design and implement a distributed platform based on wireless temperature sensor network via mass data storage of distributed platform, distributed computing and machine learning etc., while using a wide range of WCDMA network system and the 3G network’s quickly transmission rate, the advantages of stable signal.The system include the distributed computing storage platform based on hadoop,Using WCDMA DTU and embedded technology to develope wireless remote temperature sensor module, design and implement the temperature data of prison acquisition platform based on web. The results show that using distributed storage platform and WCDMA network to develop temperature sensor module and using web to develop temperature acquisition system that solve the problem of low efficiency, slowly computation speed cause by mass data storage and large data analysis in the temperature sensor network.These all meet the current new requirements of data expansion.

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NAOI, Katsuhiko. "Evolution of Energy Storage on the Platform of Supercapacitors." Electrochemistry 81, no. 10 (2013): 775–76. http://dx.doi.org/10.5796/electrochemistry.81.775.

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Zhou, Feng, Chao Jin, Yinghui Wu, and Weimin Zheng. "TODS: cluster object storage platform designed for scalable services." Future Generation Computer Systems 20, no. 4 (2004): 549–63. http://dx.doi.org/10.1016/s0167-739x(03)00173-0.

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Hu, Hairong, Lulu Fang, Chaohong Yang, and Yang Zhang. "Research on Cloud Storage Platform Technology Based on Hadoop." Journal of Physics: Conference Series 1693 (December 2020): 012015. http://dx.doi.org/10.1088/1742-6596/1693/1/012015.

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Zheng, Weimin, Pengzhi Xu, Xiaomeng Huang, and Nuo Wu. "Design a cloud storage platform for pervasive computing environments." Cluster Computing 13, no. 2 (2009): 141–51. http://dx.doi.org/10.1007/s10586-009-0111-1.

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Nugroho, Muhammad A., and Rikie Kartadie. "CLOUD STORAGE DENGAN TEKNOLOGI KUBERNETES UNTUK PLATFORM COLLABORATIVE RESEARCH." JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) 6, no. 1 (2021): 74–81. http://dx.doi.org/10.29100/jipi.v6i1.1908.

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Memberikan model alternatif untuk penerapan penelitian kolaboratif melalui layanan teknologi komputasi awan yang diim- plementasikan di lingkungan komputer lokal atau untuk menampung penyimpanan file di luar lokasi, penggunaan berbagi file cloud sangat bermanfaat dan mudah. Penggunaan teknologi ini harus diimplementasikan dan diuji keandalannya dalam skala yang baik sehingga jika akan dikembangkan lebih lanjut dapat segera diimplementasikan dan sesuai dengan lingkungan dan sumber daya jaringan yang ada. Penelitian ini berfokus pada implementasi dan pengujian performa kecepatan dan user request yang menghasilkan nilai A pada uji kecepatan pada GTMetrix dan load peak tertinggi connection time 0-5ms. Solusi terhadap penurunan performa dapat disolusikan dengan menggunakan model scaling dikombinasikan dengan proxy, dan load balancing.

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Yang, Chao-Tung, Shuo-Tsung Chen, Wei-Hsun Cheng, Yu-Wei Chan, and Endah Kristiani. "A Heterogeneous Cloud Storage Platform With Uniform Data Distribution by Software-Defined Storage Technologies." IEEE Access 7 (2019): 147672–82. http://dx.doi.org/10.1109/access.2019.2946962.

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Gao, Yan Li, Bai Lin Hu, and Yong Hua Jia. "3D GIS Model Building Based on SketchUp." Applied Mechanics and Materials 353-356 (August 2013): 3507–10. http://dx.doi.org/10.4028/www.scientific.net/amm.353-356.3507.

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The main topic of this article is the architecture modeling data which is involved in 3D GIS. The constructing platform of modeling data is also discussed. Then, it makes comparison and analysis between these platforms. Comparing to other platforms, SketchUp has lots of advantages, such as easy to operate, good for effect, saving storage space and cross-platform. So it has been used for feature modeling in 3D-GIS area, and it can satisfy the demand of this domain. At last, combining with the practical engineering, the article discusses the modeling method using the SketchUp software. The results are desired, and the method is worth to extend.

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Millington, David, and Deeksha Bali. "Current State of the Art of Newborn Screening for Lysosomal Storage Disorders." International Journal of Neonatal Screening 4, no. 3 (2018): 24. http://dx.doi.org/10.3390/ijns4030024.

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Prospective full-population newborn screening for multiple lysosomal storage disorders (LSDs) is currently practiced in a few NBS programs, and several others are actively pursuing this course of action. Two platforms suitable for multiple LSD screening—tandem mass spectrometry (MS/MS) and digital microfluidic fluorometry (DMF)—are now commercially available with reagent kits. In this article, we review the methods currently used for prospective NBS for LSDs and objectively compare their workflows and the results from two programs in the United States that screen for the same four LSDs, one using MS/MS and the other DMF. The results show that the DMF platform workflow is simpler and generates results faster than MS/MS, enabling results reporting on the same day as specimen analysis. Furthermore, the performance metrics for both platforms while not identical, are broadly similar and do not indicate the superior performance of one method over the other. Results show a preponderance of inconclusive results for Pompe and Fabry diseases and for Hurler syndrome, due to genetic heterogeneity and other factors that can lead to low enzyme activities, regardless of the screening method. We conclude that either platform is a good choice but caution that post-analytical tools will need to be applied to improve the positive predictive value for these conditions.

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Mozgrin, S. V., and G. E. Pisarevskiy. "Effectiveness of arrangement of the long cargo transportation on the fi tting platforms with different length of freight storage." Vestnik of the Railway Research Institute 78, no. 4 (2019): 203–9. http://dx.doi.org/10.21780/2223-9731-2019-78-4-203-209.

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Fitting platforms of variable freight storage lengths are used for transportation of rails and other cargo up to 25 m long. The use of innovative fixation for transportation on the fitting platforms contributes to enlargement of the range of cargo transported on such rolling stock and establishes conditions for safe transportation of such cargo.To evaluate the effectiveness of the arrangement of long cargo transportation on the fitting platform, this study examines two 25 m long rail transportation options. The transportation option involving two coupled 14.62 m platforms, when the cargo is fixed on the coupled platforms with the standard method is the basic option. The new option involves transportation of the 25 m long rails using 80-feet fitting platforms 25.62 m long at the coupling axes and multiway fi xation sets. A calendar year is assumed as the estimate period. The transported volume is assumed equal for each option, under considering the operating conditions of the calculation unit — one coupling of universal platform (or one 80-feet fitting platform), reducing the financial results to a ton of transported cargo. The value of the annual economic effect for the freight owner (Eyearown) is determined as the change of the freight owner’s expenses due to usage of the new option relative to the basic transportation option.The economic assessment of the transportation is performed considering the interests of each member of the transportation process and tested based on specific data. The results demonstrate the effectiveness of implementation of the technical and technological solution under consideration.

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Zhen, Cheng Gang, Li Ming Yue, and Ying Jie Wu. "Research on Cloud Platform for Wind Turbine Fault Diagnosis." Advanced Materials Research 765-767 (September 2013): 2255–58. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.2255.

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The computational and storage resources of Wind Plant couldnt be fully utilized is a problem worth paying attention.The remote falut diagnosis center of wind turbine can integrate the data of each Wind Plant together, but the large amounts of data generated by the Wind Plant increase the cost of the enterprise. The Cloud Computing Platform which was built on the computing clusters with commodity machines can fulfill the demand of the mass storge and large-scale computing, and improve the real-time fault diagnosis evidently. With the web interface of the Cloud platform application, the accending personnel can look over the failure analysis results, inspection reports, and failure prediction system at the first time to prevent accidents and minimize the damage of the Wind Turbines.

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Feng, An Song, Jian Li, Qing Hui Wang, and Li Feng Wei. "The Design of Queue System in an Embedded Platform." Advanced Materials Research 433-440 (January 2012): 5641–46. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5641.

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The design of the Queue-Based ARM development uses embedded technology to develop Windows CE-based ARM core platform Queue System. The Queue system can queue up calling number, customer evaluation, queuing information storage, queuing information tips and other functions. Call queuing function support repeat calls, priority calls, queues and merging functions; Customer evaluation function to support customers on operational staff operating results of evaluation; queuing information storage functions will queue information and customer evaluation information stored in back-end database. This design comparing with the market Queue System has the advantage of using an embedded operating platform. The host computer system is small. A new type of ACD (Automatic Call distributing) call end systems that support customer evaluation system is used with using embedded database to store data files. Data storage is more flexible.

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Zhao, Ming Yu, Zhi Yuan Lu, Gang Wang, and Wei Guo Zhang. "Large-Scale Electric Vehicle Operation Monitoring Platform Based on Cloud Computing." Applied Mechanics and Materials 278-280 (January 2013): 1878–82. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1878.

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With the development of electric vehicles in China, the demand on computing ability and storage for large-scale electric vehicle operation monitoring platform is increasing. Value-added technology of grid collaborative and proactive demand forecasting, multi-source data management technology, and storage technology of value-added services platform are new technology for the platform with the help of cloud computing. By using the new technology, the platform can provide powerful computing ability without substantial investment and make sufficient technical preparation for the extensive use of the electric vehicle.

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Zhou, Hui Xiang, and Qiao Yan Wen. "Data Storage Scheme of Sensor Network Based on HDFS." Advanced Materials Research 926-930 (May 2014): 2462–65. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.2462.

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In order to solve the problem of growing massive of data in sensor network, we propose a new scheme of data storage for sensor network based on HDFS which is a cloud-based storage platform, it effectively alleviate the pressure of mass data storage on sensor network, and improved the scalability of storage system and part of the enhanced the data storage security on sensor network. And this scheme is based on cloud storage platform, storage the data which collected by sensors to each data node using a distributed architecture solution, and keep multiple copies of data in order to maintain its high reliability of data. As reducing the pressure of data storage, but also protects the security of stored data as shown by security analysis.

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Farrugia, Daniel, Tonio Sant, Daniel Buhagiar, and Robert N. Farrugia. "Analysis of the wind and wave-induced dynamic response of a floating offshore wind turbine integrating a compressed air energy storage system." Wind Engineering 44, no. 5 (2019): 469–82. http://dx.doi.org/10.1177/0309524x19849854.

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In order to address the intermittency of offshore renewable energy sources, a novel form of compressed air energy storage integrated within a tension leg platform is proposed. The energy storage concept involves a hydro-pneumatic accumulator. The objective of this study was to investigate the variation in the physical and hydrodynamic characteristics of a hypothetical full-scale prototype of the proposed system. The design was developed so as to analyse the effect on said characteristics of the tension leg platform diameter and the inner diameter of the umbilical connecting the floating and seabed-mounted compressed air chambers. Results indicate that better hydrodynamic behaviour was observed for smaller diameter tension leg platforms, whereby the resulting motion became more restrained. Moreover, the dynamic characteristics were observed to indicate marginal improvement for increasing inner diameters of the pneumatic umbilical.

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Zhou, Xiao Qing, Jia Xiu Sun, and Xing Xian Luo. "Design and Development of the Mass Image Storage Platform Based on Hadoop." Applied Mechanics and Materials 742 (March 2015): 721–25. http://dx.doi.org/10.4028/www.scientific.net/amm.742.721.

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With fast development and deep appliance of the Internet, problem of mass image data storage stand out, so the problem of low management efficiency, low storage ability and high cost of traditional storage framework has appeared. The appearance of Hadoop provides a new thought. However, Hadoop itself is not suit for the handle of small files. This paper puts forward a storage framework of mass image files based on Hadoop, and solved the internal storage bottleneck of NameNode when small files are excessive through classification algorithm of preprocessing module and lead-in of high efficiency and first-level of index mechanism. The test manifests that the system is safe, easy to defend and has fine extension quality; as a result, it can reach to a fine effect.

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Li, Jing. "Construction of Modern Educational Technology MOOC Platform Based on Courseware Resource Storage System." International Journal of Emerging Technologies in Learning (iJET) 12, no. 09 (2017): 105. http://dx.doi.org/10.3991/ijet.v12i09.7491.

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With the development of Internet era, distance education has become a fashionable educational mode. More and more teaching functions can be implemented via this platform. Hence, an online teaching platform with complete teaching functions becomes an essential development trend in the whole higher educational mode. Based on connectivism theory, multimedia real-time storage technology and five-dimensional evaluation model of blended learning, a MOOC platform of Modern Educational Technology was constructed in this paler by combining multimedia resource storage technology. Besides, the design was implemented from 2 parts: functional structure of the platform and each module of the platform. Meanwhile, the effect of the MOOC platform was tested through five-dimensional evaluation model of blended learning from three aspects: learning attitude, learning process and learning effect. Results demonstrate that the score of participation degree is 4.94, interaction degree is 2.14, fitness is 4.13, satisfaction is 4.29 and effect degree is 4.375. These findings indicate that the MOOC platform can well promote students’ learning and is a good platform.

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Khan, Muhammad Sarwar, Faiz Ahmad Joyia, and Ghulam Mustafa. "Seeds as Economical Production Platform for Recombinant Proteins." Protein & Peptide Letters 27, no. 2 (2020): 89–104. http://dx.doi.org/10.2174/0929866526666191014151237.

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: The cost-effective production of high-quality and biologically active recombinant molecules especially proteins is extremely desirable. Seed-based recombinant protein production platforms are considered as superior choice owing to lack of human/animal pathogenic organisms, lack of cold chain requirements for transportation and long-term storage, easy scalability and development of edible biopharmaceuticals in plants with objective to be used in purified or partially processed form is desirable. This review article summarizes the exceptional features of seed-based biopharming and highlights the needs of exploiting it for commercial purposes. Plant seeds offer a perfect production platform for high-value molecules of industrial as well as therapeutic nature owing to lower water contents, high protein storage capacity, weak protease activity and long-term storage ability at ambient temperature. Exploiting extraordinarily high protein accumulation potential, vaccine antigens, antibodies and other therapeutic proteins can be stored without effecting their stability and functionality up to years in seeds. Moreover, ability of direct oral consumption and post-harvest stabilizing effect of seeds offer unique feature of oral delivery of pharmaceutical proteins and vaccine antigens for immunization and disease treatment through mucosal as well as oral route.

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Fu, Gang, Wen Jian Geng, and Ren Long Li. "Design and Implementation of General High-Speed Data Storage System." Advanced Materials Research 989-994 (July 2014): 2414–17. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2414.

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According to the trend of the development of the computer system bus more, designs the general high-speed data storage system based on computer platform structure.Put forward the "one-way chain" cache structure, to avoid the computer operating system of real-time data transmission, the influence of the multithreaded mode data transmission and storage of parallel processing.According to the basic principle of data storage in a computer system, put forward the standard file operations function replace special instruction set, the method of implementing the SCSI disk array storage at a high speed.Test results show that the data storage system based on computer platform with more generalization method to achieve the high speed of data storage.

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Yan, Tao, Jialiang Liu, Qianqian Niu, et al. "Distributed energy storage node controller and control strategy based on energy storage cloud platform architecture." Global Energy Interconnection 3, no. 2 (2020): 166–74. http://dx.doi.org/10.1016/j.gloei.2020.05.008.

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Hyun, Keun-Ju, and Hyoun-Seok Moon. "Design and Implementation of The Data Storage for Port BIM Based on Ceph Storage Platform." Journal of Korean Institute of Communications and Information Sciences 45, no. 11 (2020): 1907–20. http://dx.doi.org/10.7840/kics.2020.45.11.1907.

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Androcec, Darko. "Data Portability Among Providers o Platform as a Service." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 21, Special-Issue (2013): 7–11. http://dx.doi.org/10.2478/rput-2013-0002.

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Abstract Platform as a service model has certain obstacles, including data lock-in. It is expensive and time-consuming to move data to the alternative providers. This paper presents data storage options in platform as a service offers and identifies the most common data portability problems between various commercial providers of platform as a service. There are differences among their storage models, data types, remote APIs for data manipulation and query languages. Representing data models of platform as a service and data mappings by means of ontology can provide a common layer to achieve data portability among different cloud providers.

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Muscalagiu, Cosmin, Dan Ilincioiu, and Daniel Muscalagiu. "Study of Handling Mechanism Attached to a Multistorey Car Parks." Applied Mechanics and Materials 823 (January 2016): 235–40. http://dx.doi.org/10.4028/www.scientific.net/amm.823.235.

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Study bunk storage systems for motor vehicles developed much lately due to high demand for parking in congested city centers. In this paper we propose to study mechanism drive bunk platforms for dynamic request. This paper aims to improve the response mechanism on a platform behavior self-during operation of the system and identify hot spots.

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Ríos, Carlos, Nathan Youngblood, Zengguang Cheng, et al. "In-memory computing on a photonic platform." Science Advances 5, no. 2 (2019): eaau5759. http://dx.doi.org/10.1126/sciadv.aau5759.

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Collocated data processing and storage are the norm in biological computing systems such as the mammalian brain. As our ability to create better hardware improves, new computational paradigms are being explored beyond von Neumann architectures. Integrated photonic circuits are an attractive solution for on-chip computing which can leverage the increased speed and bandwidth potential of the optical domain, and importantly, remove the need for electro-optical conversions. Here we show that we can combine integrated optics with collocated data storage and processing to enable all-photonic in-memory computations. By employing nonvolatile photonic elements based on the phase-change material, Ge2Sb2Te5, we achieve direct scalar and matrix-vector multiplication, featuring a novel single-shot Write/Erase and a drift-free process. The output pulse, carrying the information of the light-matter interaction, is the result of the computation. Our all-optical approach is novel, easy to fabricate and operate, and sets the stage for development of entirely photonic computers.

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Chen, Y. C., Y. S. Yu, R. S. Chen, I.-Hsin Chou, H. M. Sun, and K. C. Yeh. "Intelligent Radioactive Waste Management Platform for Radioactive Waste Storage Facilities." Nuclear Technology 182, no. 3 (2013): 358–68. http://dx.doi.org/10.13182/nt13-a16985.

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Lihong Jiang, Li Da Xu, Hongming Cai, Zuhai Jiang, Fenglin Bu, and Boyi Xu. "An IoT-Oriented Data Storage Framework in Cloud Computing Platform." IEEE Transactions on Industrial Informatics 10, no. 2 (2014): 1443–51. http://dx.doi.org/10.1109/tii.2014.2306384.

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Han, Ning. "An Energy-Efficiency Enhanced Mobile Storage Platform in Cloud Environments." International Journal of Future Generation Communication and Networking 9, no. 6 (2016): 87–98. http://dx.doi.org/10.14257/ijfgcn.2016.9.6.09.

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Yang, Puyuan, Peiquan Jin, and Lihua Yue. "SH-Sim: A Flexible Simulation Platform for Hybrid Storage Systems." International Journal of Grid and Distributed Computing 7, no. 3 (2014): 61–70. http://dx.doi.org/10.14257/ijgdc.2014.7.3.07.

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Peng, Xiao, and Yan Guofeng. "DCSP-MC: dependable cloud-based storage platform for mobile computing." International Journal of Networking and Virtual Organisations 12, no. 2 (2013): 133. http://dx.doi.org/10.1504/ijnvo.2013.053745.

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Mishra, P. M., K. Blaum, C. Breitenfeldt, et al. "An ion source platform of the cryogenic storage ring (CSR)." Journal of Physics: Conference Series 635, no. 11 (2015): 112061. http://dx.doi.org/10.1088/1742-6596/635/11/112061.

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