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1

Streimikis, Justas, Evgeniy Kislitsyn, Nadezhda Surnina, and Viktor Gorodnichev. "An integrated platform for managing information in smart cities." E3S Web of Conferences 301 (2021): 05004. http://dx.doi.org/10.1051/e3sconf/202130105004.

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This article focuses on defining the integrated platform for managing information in smart cities. We look into the smart city platforms that are increasingly used in today’s cities all around the world. Smart city platforms can be deployed on private, public or hybrid clouds, remote servers or onsite. By definition, a smart city platform integrates many different functional areas of the smart city in a single environment. The Smart city platform offers integrated functionality to coordinate intelligent city data, applications, solutions and services at one or more operational levels between multiple stakeholders with integrated functionality. By monitoring and analysing the use of urban assets, the government can distribute them to improve operational efficiency. The platform provides middleware and operational functionality across multiple software and hardware, integrates multiple communication protocols, and provides latent and free solutions for smart cities. Managing the huge amounts of data generated by IoT-based sensors and systems is a main challenge facing end users and providers. We show that smart city platforms serve to standardize data and information across many silo systems. It is demonstrated that they provide a common mechanism for visualizing and managing data to optimize the entire urban operation.
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Ghosh, Samik, Yukiko Matsuoka, Yoshiyuki Asai, Kun-Yi Hsin, and Hiroaki Kitano. "Software for systems biology: from tools to integrated platforms." Nature Reviews Genetics 12, no. 12 (November 3, 2011): 821–32. http://dx.doi.org/10.1038/nrg3096.

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Chugunov, Mikhail V., Irina N. Polunina, Alexander G. Divin, Aleksandra A. Generalova, Artem A. Nikulin, and Dmitriy S. Bychkov. "Integrated Mobile Robotic Platform Model." Engineering Technologies and Systems 31, no. 4 (December 30, 2021): 609–27. http://dx.doi.org/10.15507/2658-4123.031.202104.609-627.

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Introduction. The “Smart Agroˮ committee of Research and Education Center “Engineering of the Future” has identified a number of tasks relevant for improving the efficiency of precision, soil-protecting and conservation agriculture. One of these tasks is the development of a digital multi-agent system, which provides a number of services for agricultural enterprises, developers and manufacturers of agricultural machinery. The purpose of the present study is to model an autonomous mobile robotic platform, including the development of software and hardware for trajectory control. Materials and Methods. To solve the problem, there are used modern CAx systems and their applications, the methods of 3D and full-body modeling, and the method of numerical solution of problems in solid mechanics. To expand and improve the standard functionality of CAx-systems (SolidWorks) in the software implementation of trajectory control algorithms, the methods and technologies of programming using API SolidWorks, VisualStudio C++ (MFC, ATL, COM) are used, and to build physical full-scale models ‒ Arduino and fischertechnik platforms. Results. The result of the study is a software and hardware module of trajectory control for an integrated (physical and virtual) model of a mobile robotic platform, which can be provided to the consumer as a service for technology autonomation. For the developed integrated model, control algorithms for various types of trajectories were tested. Discussion and Conclusion. The developed integrated software and hardware model of trajectory control can be used by developers and manufacturers of agricultural machinery, and directly by agro-enterprises for implementing typical technological processes. A feature of the implementation is an open hardware and software interface that provides the integration of mobile robotic platforms based on a digital multi-agent system.
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Кучук, Н. Г., Г. М. Зубрицький, and Г. А. Кучук. "Resource distribution method in computer systems on integrated software platforms." Системи обробки інформації, no. 1 (168) (February 10, 2022): 36–42. http://dx.doi.org/10.30748/soi.2022.168.04.

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Computer Systems on Integrated Software Platforms are gaining popularity among users. They have a number of advantages over other platforms. In particular, this is a reduction in maintenance costs and the ability to quickly deploy additional Hardware & Software without stopping the system. But there are also a number of disadvantages. The most significant of these is an increase in the processing time for transactions of users using data warehouses. One of the directions of its solution is the formation of resource distribution, which is focused on minimizing resource costs. A mathematical model of resource distribution during transactions in CS on ISP is proposed. The distribution quality is determined by the criterion of minimizing the total transaction execution time. The admissible set of distributions is formed using the method of penalties for the execution of transactions. This further refines the integrated infrastructure. Simulation modeling of the process of distributing a computing resource with a selected plan made it possible to formulate requirements for the algorithm for solving the problem of scheduling transactions in an integrated environment. The proposed method also makes it possible to carry out operational rescheduling of transaction execution and reduce time costs when making operational changes to the transaction execution plan.
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Azemović, Nedžad. "Business performance management through a prism of software platforms." Ekonomski izazovi 9, no. 18 (2020): 97–109. http://dx.doi.org/10.5937/ekoizazov2018097a.

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In the information age organizations focus on an integrated business process, as opposed to previously specialized functional skills. Globalisation has erased borders, consequently putting firms on the market with the best companies in the world. Considering the development of performance management and the increasingly complex structure and data amount, doing business without the support of information technology (IT) is simply unthinkable. The new paradigm has been known as the third generation of information technology platforms ("3rd Platform IT"). It is based on "cloud", mobile, social and Big Data technologies. This will enable all important digital transformations, evolutions and expansion of the industry in the following period. The future of organisations depends on the ability to master 3rd Platform IT and use them to their advantage. This paper will present some of the software platforms, which concern the strategic management support system, the budget support system, the performance management support system as well as the performance management support systems for teams and individuals.
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Bahrami, Soheila, Brian Atkin, and Anne Landin. "Enabling the diffusion of sustainable product innovations in BIM library platforms." Journal of Innovation Management 7, no. 4 (January 7, 2020): 106–30. http://dx.doi.org/10.24840/2183-0606_007.004_0006.

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Building Information Modelling (BIM) objects represent buildingproducts in design, simulation, and procurement processes. This paper explores how BIM objects could be created and exchanged to enable the diffusion of innovative products with enhanced sustainability performance. Two BIM library platforms were examined by taking a new approach that integrates the concepts of sustainable value, diffusion of innovations, information, software usability, and platform ecosystems. The findings show that the diffusion of sustainable products can be inhibited due to problems with the mechanisms for creating and exchanging BIM objects, quality of BIM objects, the usability of BIM library platforms, and participation on the platforms. This study deepens understanding of the problems by focusing on ventilation products in Sweden. Identified shortcomings in the current practices of BIM platform owners and participants would be reduced by effective platform strategies, certification schemes for BIM objects, and BIM object creation processes integrated with product lifecycle management.
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Syschikov, A. Yu, B. N. Sedov, and Yu E. Sheynin. "INTEGRATED DOMAIN-SPECIFIC PROGRAMMING ENVIRONMENT FOR HETEROGENEOUS MANYCORE PLATFORMS." Issues of radio electronics, no. 8 (August 20, 2018): 133–44. http://dx.doi.org/10.21778/2218-5453-2018-8-133-144.

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Different classes of problems on the embedded systems market and its needs make manufacturers of embedded systems to design heterogeneous many/multi core hardware platforms. Such platforms includes dozens of different cores: CPU, GPU, DSP, FPGA etc. That makes them incredibly hard to program, especially in case when domain experts are involved in the development process. Usually, domain expert has knowledge in his domain area, but does not fully understand the specificity of programming for heterogeneous manycore platforms. In this article, we propose the complex technology and tools that allows involving domain experts in software development for embedded systems. The proposed technology has various aspects and abilities that can be used to build verifiable and portable software for a wide range of heterogeneous embedded platforms.
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Kang, Lu, Cong Ni, Jinze Song, Zhuang Li, and Weiyu Chen. "Development of Virtual Simulation Experimental Software of Marine Platform Structure." International Journal of Power and Energy Engineering 3, no. 10 (October 31, 2021): 51–52. http://dx.doi.org/10.53469/ijpee.2021.03(10).11.

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Due to the harsh offshore exploitation environment, students are unable to conduct field investigation in offshore platforms. In this scenario, virtual simulation is an effective way to solve this problem. This paper introduces in detail a Virtual Simulation Experimental Software of Marine Platform Structure, which is closely integrated with the course content and engineering reality. Through the operation and learning of platform site selection, platform structure assembly, platform structure display, can realize the students' knowledge of platform structure composition mastery, and at the same time improve the students' participation and motivation. In addition, the system can automatically generate the experiment report and give the operation score reference to realize the teacher's quality control of the experiment course.
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Lee, Youngmoon, Kang G. Shin, and Hoon Sung Chwa. "Thermal-Aware Scheduling for Integrated CPUs--GPU Platforms." ACM Transactions on Embedded Computing Systems 18, no. 5s (October 19, 2019): 1–25. http://dx.doi.org/10.1145/3358235.

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Gwoździewicz, Sylwia, Dariusz Prokopowicz, Jan Grzegorek, and Martin Dahl. "APPLICATION OF DATA BASE SYSTEMS BIG DATA AND BUSINESS INTELLIGENCE SOFTWARE IN INTEGRATED RISK MANAGEMENT IN ORGANIZATION." International Journal of New Economics and Social Sciences 8, no. 2 (December 30, 2018): 12–14. http://dx.doi.org/10.5604/01.3001.0012.9925.

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Currently, business analytics uses computerized platforms containing ready-made reporting formulas in the field of Business Intelligence. In recent years, software companies supporting enterprise management offer advanced applications of information-analytical Business Intelligence class systems consisting of modular development of these systems and combining business intelligence software with platforms that use data warehouse technology, multi-dimensional analytical processing software and data mining and processing applications. This article describes an example of this type of computerized analytical platform for business entities, which is included in analytical applications that allow quick access to necessary, aggregated and multi-criteria processed information. The software allows entrepreneurs and corporate managers as well as entities from the SME sector on the one hand to use embedded patterns of reports or analyzes, and on the other hand to self-develop and configure analyzes carried out, tailored to the specifics of a specific entity. Such analytical applications make it possible to build integrated risk management systems in the organization.
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Zainal, S. A., W. R. Daud, M. I. Rosli, S. Harun, Zulfan Adi Putra, and M. R. Bilad. "Development of An Integrated Surface and Sub-Surface Simulation Model in A Single Simulation Platform." Indonesian Journal of Science and Technology 5, no. 1 (January 29, 2020): 109–24. http://dx.doi.org/10.17509/ijost.v5i1.17439.

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An integrated model between surface and sub-surface is typically done by interconnecting many process modelling platforms. PROSPER and GAP are the common steady state modelling platforms for sub-surface while VMGSim and HYSYS are typical steady state surface modelling platforms. A major issue of using multiple simulation platforms is the compatibility of thermodynamic physical properties calculations among the platforms. This situation makes the simulations difficult to converge to a consistent thermo physical properties values. This is due to different interaction parameters applied in each platform that impact flashing and the physical property values even though the same property package such as Peng Robinson is used. To overcome this convergence problem, a single simulation platform within iCON (PETRONAS’s standard process simulation software, co-developed with VMG-Schlumberger) has been developed. This allows the use of one thermodynamic package across the integrated model. PROSPER sub-surface pressure-flow relationship results were automatically correlated and connected to surface models within the iCON environment. This integrated model was validated with data from operations and yielded about 1.23% average error tolerance. Based on this validated model, an optimization envelope can be developed with all possible well lineup configurations. This envelope covers set points for the operations where CAPEX free optimization can readily be applied.
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Seethepalli, Anand, Haichao Guo, Xiuwei Liu, Marcus Griffiths, Hussien Almtarfi, Zenglu Li, Shuyu Liu, et al. "RhizoVision Crown: An Integrated Hardware and Software Platform for Root Crown Phenotyping." Plant Phenomics 2020 (February 15, 2020): 1–15. http://dx.doi.org/10.34133/2020/3074916.

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Root crown phenotyping measures the top portion of crop root systems and can be used for marker-assisted breeding, genetic mapping, and understanding how roots influence soil resource acquisition. Several imaging protocols and image analysis programs exist, but they are not optimized for high-throughput, repeatable, and robust root crown phenotyping. The RhizoVision Crown platform integrates an imaging unit, image capture software, and image analysis software that are optimized for reliable extraction of measurements from large numbers of root crowns. The hardware platform utilizes a backlight and a monochrome machine vision camera to capture root crown silhouettes. The RhizoVision Imager and RhizoVision Analyzer are free, open-source software that streamline image capture and image analysis with intuitive graphical user interfaces. The RhizoVision Analyzer was physically validated using copper wire, and features were extensively validated using 10,464 ground-truth simulated images of dicot and monocot root systems. This platform was then used to phenotype soybean and wheat root crowns. A total of 2,799 soybean (Glycine max) root crowns of 187 lines and 1,753 wheat (Triticum aestivum) root crowns of 186 lines were phenotyped. Principal component analysis indicated similar correlations among features in both species. The maximum heritability was 0.74 in soybean and 0.22 in wheat, indicating that differences in species and populations need to be considered. The integrated RhizoVision Crown platform facilitates high-throughput phenotyping of crop root crowns and sets a standard by which open plant phenotyping platforms can be benchmarked.
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Wu, Jiani. "The key technology research for integrated simulation of multi-disciplinary complex product system." International Journal of Modeling, Simulation, and Scientific Computing 08, no. 02 (November 9, 2016): 1741001. http://dx.doi.org/10.1142/s179396231741001x.

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Complex product system contains a number of different subsystems. The characteristics of multi-discipline and strong coupling exhibit due to the interconnection of subsystems. To achieve system-level optimization, integrated design on each subsystem is required. The traditional designing method using single simulation software is difficult to reflect the dynamic coupling among multiple subsystems. Therefore, the establishment of integrated design platform which is capable of multi-disciplinary and multi-domain simulation is necessary. This paper summarized the present design methods for multi-disciplinary integrated simulation platforms and the key technologies. Moreover, a case study with results was also provided to show the advantage of integrated multi-domain simulation. It will provide an important integrated authentication platform for the multi-disciplinary optimum design of complex product system.
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Tsai, Pang Wei, Hou Yi Chou, Mon Yen Luo, and Chu Sing Yang. "Design a Flexible Software Development Environment on NetFPGA Platform." Applied Mechanics and Materials 411-414 (September 2013): 1665–69. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1665.

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Among numerous embedded platforms, NetFPGA provides developers with a freely programmable FPGA component to design custom functionalities in networking. However, most hardware projects are developed based on reference designs without embedded operating system. For hybrid developments on multi-layers, there will be some difficulties to apply. On the other hand, due to the limited resources on embedded platform, both performance and flexibility need to be concerned on implementation. And for networking processing, it is quite difficult to adjust control parameters without software environment. Therefore, this paper proposes an integrated architecture using PowerPC processor on NetFPGA and embedded Linux operating system on NetFPGA platform. This not only provides developers with an environment for software execution which added more flexibility, but also enhanced the system to provide more applied possibilities on development.
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Chakrabarty, Krishnendu, and Roland Thewes. "Guest Editors' Introduction: Biochips and Integrated Biosensor Platforms." IEEE Design & Test of Computers 24, no. 1 (January 2007): 8–9. http://dx.doi.org/10.1109/mdt.2007.15.

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Lee, Robin S. "Vertical Integration and Exclusivity in Platform and Two-Sided Markets." American Economic Review 103, no. 7 (December 1, 2013): 2960–3000. http://dx.doi.org/10.1257/aer.103.7.2960.

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This paper measures the impact of vertically integrated and exclusive software on industry structure and welfare in the sixth-generation of the US video game industry (2000–2005). I specify and estimate a dynamic model of both consumer demand for hardware and software products, and software demand for hardware platforms. I use estimates to simulate market outcomes had platforms been unable to own or contract exclusively with software. Driven by increased software compatibility, hardware and software sales would have increased by 7 percent and 58 percent and consumer welfare by $1.5 billion. Gains would be realized only by the incumbent, suggesting exclusivity favored the entrant platforms. (JEL D12, L13, L22, L63, L86)
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Semin, A. N., E. A. Skvortsov, and Yu V. Malkova. "Application of Digital Platforms in Integrated Agricultural Holding Formations in Conditions of Spread of Coronavirus Infection (COVID-19)." Economy of agricultural and processing enterprises, no. 7 (2020): 9–14. http://dx.doi.org/10.31442/0235-2494-2020-0-7-9-14.

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The article discusses the problems of using digital platforms in integrated formations of the agricultural holding type. Their use is very relevant in the context of the spread of the coro-navirus infection CoViD-19, since their use can increase physical distance and reduce the num-ber of interpersonal interactions. As a result of the analysis, the evolutionary stages of the use of digital platforms in agriculture are highlighted. The results of the introduction of digital platform solutions of leading companies - manufacturers of software and hardware-system solutions, including those based on ERP-systems. Their application can significantly increase the turnover of stockpiles; increase the volume of products; reduce its cost up to 9%. This makes it possible to get a profit increase of up to 14%. The basic principles of the use of digital platforms in integrated formations of the agricultural holding type are identified, which are: safety, planning, comprehensiveness, integration, efficiency, competence, awareness. Concrete recom-mendations are given on the use of digital platforms in complex epidemiological situations (including CoVID -19).
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Pandey and Vora. "Open Electronics for Medical Devices: State-of-Art and Unique Advantages." Electronics 8, no. 11 (November 1, 2019): 1256. http://dx.doi.org/10.3390/electronics8111256.

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A wide range of medical devices have significant electronic components. Compared to open-source medical software, open (and open-source) electronic hardware has been less published in peer-reviewed literature. In this review, we explore the developments, significance, and advantages of using open platform electronic hardware for medical devices. Open hardware electronics platforms offer not just shorter development times, reduced costs, and customization; they also offer a key potential advantage which current commercial medical devices lack—seamless data sharing for machine learning and artificial intelligence. We explore how various electronic platforms such as microcontrollers, single board computers, field programmable gate arrays, development boards, and integrated circuits have been used by researchers to design medical devices. Researchers interested in designing low cost, customizable, and innovative medical devices can find references to various easily available electronic components as well as design methodologies to integrate those components for a successful design.
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Su, Kiet Hong, Thuan Huu Huynh, and Tu Trong Bui. "An efficient hardware architecture for HMM-based TTS system." Science and Technology Development Journal 18, no. 3 (August 30, 2015): 210–17. http://dx.doi.org/10.32508/stdj.v18i3.838.

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This work proposes a hardware architecture for HMM-based text-to-speech synthesis system (HTS). In high speed platforms, HTS with software core-engine can satisfy the requirement of real-time processing. However, in low speed platforms, software core-engine consumes long time-cost to complete the synthesis process. A co-processor was designed and integrated into HTS to accelerate the performance of system.
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Ramachandran, Muthu, and Victor Chang. "Financial Software as a Service." International Journal of Organizational and Collective Intelligence 4, no. 3 (July 2014): 65–89. http://dx.doi.org/10.4018/ijoci.2014070104.

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Software as a service as one of the cloud delivery models that supports fine-grained components. Financial applications demand better performance and accuracy in a cloud than the traditional computing platforms. Therefore, designing financial software as a service (FSaaS) requires an engineering and systematic approach. This paper has proposed an integrated service-oriented architecture and a SaaS component model for financial domain that provides the required scalability, flexibility and customisation. It has also demonstrated the design and customisation of service component interfaces to a financial simulation so that it provides automatic prediction models for investors to know accurate results for buy and sale prices. Therefore, large-scaled simulations can be achieved within a matter of 13.5 second for outlier removal and within 9 seconds for high-performance risk computation on the Cloud. This paper shows the holistic and complete approach of illustrating the system design of FSaaS, showing the two major algorithms and the results of experiments of running these two algorithms. It provides plans to integrate new and existing services with FSaaS.
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Pestryakov, E. V. "Software for Diagnosing and Predicting the Technical Condition of Agricultural Machines." Machinery and Equipment for Rural Area, no. 12 (December 22, 2021): 37–41. http://dx.doi.org/10.33267/2072-9642-2021-12-37-41.

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The technical platforms for solving the problems of using artificial intelligence in the field of agriculture are described. Creation of new computing devices that allow storing and processing large amounts of information and software makes it possible to form integrated computer systems to increase maximum productivity.
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Skourlas, Christos, Anastasios Tsolakidis, Petros Belsis, Dimitris Vassis, Argyrw Kampouraki, Panos Kakoulidis, and Georgios A. Giannakopoulos. "Integration of institutional repositories and e-learning platforms for supporting disabled students in the higher education context." Library Review 65, no. 3 (April 4, 2016): 136–59. http://dx.doi.org/10.1108/lr-08-2015-0088.

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Purpose – Institutional repositories (IR) are usually used to archive and manage digital collections including research results, educational material, etc. Learning management systems (LMS) form a popular basis for e-learning and blended learning. This paper aims to study how to integrate IR and LMS to support accessibility of disabled students and students with learning difficulties (dyslexic students) in higher education. Customised ontologies focusing on disabled students can be used to facilitate indexing, and access of items in the repository. Design/methodology/approach – The authors propose a simple methodological approach to establish an integrating system for supporting accessibility. First, the authors review research works related to adaptive learning environments (ALEs) and blended learning, and discuss issues of the interoperability of IR and LMS. Then, based on the review, the authors discuss the use of an integrated ALE for supporting disabled students in the domain of higher technological education. The integrated system is based on IR, LMS and assistive and adaptive technology. The open source software platform DSpace is used to build up the repository applications Use of the web ontology language (OWL) ontologies is also proposed for indexing and accessing the various, heterogeneous items stored in the repository. Various open source LMS (e.g. openeclass) could be used to build up the integrated system. Finally, the authors describe experimentation with a prototype implemented to provide the mentioned capabilities. Findings – The technology is mature enough for building up integrated systems, combining capabilities of IR and LMS, for supporting disabled students. The use of ontologies focused on disabled students could facilitate the use of such integrated systems. Customisation and operation of a platform, for the selection and use of portions of OWL ontologies, could be based on the open source software Protégé. Such a platform forms a basis to create an appropriate ontology suitable for specific domains, e.g. the domain of technological education. Finally, the authors argue that the combined use of the OWL platform and the DSpace repository with open source LMS platforms could support domain experts for creating customised ontologies and facilitating searching. Originality/value – A new perception of the term integrated system for supporting disabled students in the higher education context is presented. This perception tries to combine the IR technology that supports the self-archiving approach of information, open LMS technology and the user-centred approach to support students and manage the “life of information”.
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Kazanzides, Peter, Anton Deguet, Balazs Vagvolgyi, Zihan Chen, and Russell H. Taylor. "Modular Interoperability in Surgical Robotics Software." Mechanical Engineering 137, no. 09 (September 1, 2015): S19—S22. http://dx.doi.org/10.1115/1.2015-sep-10.

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This article reviews on modular interoperability of the software that is used for these types of systems. One key point is that while hierarchical multi-rate control may be suitable for the master and slave robots, there is also a requirement to handle the video and ultrasound images. This article presented an overview of surgical robot systems, with the recognition that these systems are not just robots, but integrated systems that include robots, databases, and real-time sensors such as video and other medical imaging devices. Common research platforms, such as the da Vinci Research Kit and Raven II, have recently become available. This has underscored the need for modular software interoperability, so that researchers can share software modules and more easily integrate other robots and devices. Standardization and interoperability are most applicable at the higher software layers, and can benefit from the availability of widely-adopted middleware such as ROS. Other interface protocols, such as OpenIGTLink, can be useful due to their wide support within the medical imaging and image-guided intervention domains.
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Geng, Dao Qu, Zhan Zhao, Zhen Fang, Yun Dong Xuan, and Yao Hong Shi. "A Platform for Applications in Wireless Body Area Sensor Networks." Advanced Materials Research 217-218 (March 2011): 527–32. http://dx.doi.org/10.4028/www.scientific.net/amr.217-218.527.

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In recent years wireless body area sensor networks (WBASN) has gained a lot of attention from researchers for its promising application in medical care and health care field. However, previous studies are typically involved in the deployment and performance of WBASN, and most research has barely considered the details of the hardware and software platforms. Furthermore, few existing platforms can meet the need of the practical application for their larger physical size, higher power consumption, etc. In this paper, a hardware-software platform (HSPF) is presented, which is especially designed for the application in WBASN. HSPF provides a “core” of the WBASN solution, which puts the most required hardware and software in a small package (24.8×19.0 mm). We discuss how the hardware components are selected to achieve the design goals: low power consumption and small size. Meanwhile, the current consumption of the hardware module of HSPF is evaluated. In addition, the architecture of the software module of HSPF and the design of the integrated star network transport (SNT) protocol are detailedly described. HSPF has been successfully used in our recent research project.
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Draghici, George. "Infrastructure for Integrated Collaborative Product Development in Distributed Environment." Applied Mechanics and Materials 760 (May 2015): 9–14. http://dx.doi.org/10.4028/www.scientific.net/amm.760.9.

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The tools used for collaborative product design is based on PLM solutions, integrating BOM, CAD, CAE, CAPP, CAM and PDM software. The PLM platforms are distributed in virtual project team of partners. Currently, the integrated collaborative and distributed product design and manufacture can be supported by the cloud technology, given advances in Cloud Computing. The objective of our research is to develop an infrastructure for integrated collaborative and distributed product design and manufacturing, including software applications, CNC machine tools, additive manufacturing machines etc., dispersed in different universities labs for students’ education.
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Zhu, Xi Yong, Shan Shan Gu, and Shi Xiong Wang. "Software Reconfiguration Based on Service Model-Driven Architecture over Cloud Computing." Advanced Materials Research 204-210 (February 2011): 2144–49. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.2144.

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Cloud computing is changing the way enterprises develop and deploy information systems. With the rapid development and successful implementations of the model-driven architecure(MDA) and service-oriented architecture (SOA), clouding computing has become the focus of researches. This paper describes the design and implementation of a service template markup language (STML) and its integrated development tools, which provide a comprehensive solution to the reconfiguration of applications over cloud computing platforms. In the paper, we first analyze and point out the limitations of current software reconfiguration approaches, then propose a framework for a SMDA-based approach to software reconfiguration in a PaaS platform, next present a series of PaaS service models and an XML-based service template markup language, finally conclude by an example showing the practicability of the tools.
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Meheden, Maria, Andrei Musat, Andrei Traciu, Andrei Viziteu, Adrian Onu, Constantin Filote, and Maria Simona Răboacă. "Design Patterns and Electric Vehicle Charging Software." Applied Sciences 11, no. 1 (December 25, 2020): 140. http://dx.doi.org/10.3390/app11010140.

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The development and maintenance of complex software systems, with ever-changing requirements has benefited from the implementation of design patterns, which ensure a higher degree of maintainability. The present article illustrates the essential role of design patterns in sketching the software architecture for an electric vehicle charging management platform. We have integrated a series of design patterns to create a solid base structure for the API (Application Programming Interface). Furthermore, we have explored cloud design patterns in the deployment process to ensure a proper multi-tenant cloud application with the best possible tenant isolation for the cost. The aim of this paper is to offer readers an introduction in the case study theme, to describe a complex platform development through design patterns. With proper examples from real projects debated in the industry. The paper demonstrates the design patterns applicability from software level to cloud resources plan and advocates for a high-quality solution in every segment of project development. In conclusion, the results are promising, and the functionality of the established methods on this type of platforms will be evaluated during the implementation period. Overall, design patterns have proven to be essential in the development process, ensuring effective team communication and the delivery of qualitative software solutions.
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Maity, Srijeeta, Anirban Ghose, Soumyajit Dey, and Swarnendu Biswas. "Thermal-aware Adaptive Platform Management for Heterogeneous Embedded Systems." ACM Transactions on Embedded Computing Systems 20, no. 5s (October 31, 2021): 1–28. http://dx.doi.org/10.1145/3477028.

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Recent trends in real-time applications have raised the demand for high-throughput embedded platforms with integrated CPU-GPU based Systems-On-Chip (SoCs). The enhanced performance of such SoCs, however, comes at the cost of increased power consumption, resulting in significant heat dissipation and high on-chip temperatures. The prolonged occurrences of high on-chip temperature can cause accelerated in-circuit ageing, which severely degrades the long-term performance and reliability of the chip. Violation of thermal constraints leads to on-board dynamic thermal management kicking-in, which may result in timing unpredictability for real-time tasks due to transient performance degradation. Recent work in adaptive software design have explored this issue from a control theoretic stand-point, striving for smooth thermal envelopes by tuning the core frequency. Existing techniques do not handle thermal violations for periodic real-time task sets in the presence of dynamic events like change of task periodicity, more so in the context of heterogeneous SoCs with integrated CPU-GPUs. This work presents an OpenCL runtime extension for thermal-aware scheduling of periodic, real-time tasks on heterogeneous multi-core platforms. Our framework mitigates dynamic thermal violations by adaptively tuning task mapping parameters, with the eventual control objective of satisfying both platform-level thermal constraints and task-level deadline constraints. We consider multiple platform-level control actions like task migration, frequency tuning and idle slot insertion as the task mapping parameters. To the best of our knowledge, this is the first work that considers such a variety of task mapping control actions in the context of heterogeneous embedded platforms. We evaluate the proposed framework on an Odroid-XU4 board using OpenCL benchmarks and demonstrate its effectiveness in reducing thermal violations.
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Vieyra, Gerardo Quiroz, and Luis Fernando Muñoz González. "Platforms for Online Learning: A Product Specification." European Journal of Social Science Education and Research 7, no. 3 (December 12, 2020): 112. http://dx.doi.org/10.26417/711yni40w.

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Learning Management Systems (LMS) or Learning Content Management Systems (LCMS) are the core of e-learning platforms and have evolved according to the development of new information and communication technologies. In this type of software there are many products on the market, some developed by the institutions themselves (in-house), others are free and open source software (FOSS) and others are more commercial, varying in functionality and technology, but almost always adhering to the standards used in e-learning so that learning objects fulfill their purpose of being usable and reusable. This paper introduces you to current LMS / LCMS, main functions, distinctive features, related standards, and their current status. Then there is a presentation of Machine Learning as a branch of Artificial Intelligence and Cognitive Computing as a fusion discipline between computation, cognition, psychology and artificial intelligence, to end in a proposal for the incorporation of these technologies in a new generation of e-learning platforms, all in an integrated framework of interoperability and governance.
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Zheng, Wei Jiang, Bing Luo, Zheng Guang Hu, and Zhong Liang Lv. "Design and Implementation of a New Meteorology Geographic Information System." Applied Mechanics and Materials 411-414 (September 2013): 440–43. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.440.

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Meteorology Geographic Information System (MeteoGIS) is a professional meteorological GIS platform with completely independent intelligent properties. It fully utilizes the national innovative GIS technologies in the meteorological scenario; MeteoGIS supports multiple databases, browsers and a variety of development environments, has a good cross-platform capability. It also has a massive vector and raster data management and distribution capacity. MeteoGIS extends the meteorological data models and data sets, and is able to produce meteorological thematic maps, layout and printing. It has integrated algorithms for meteorological applications and special-use analysis. The platform is comprised of development kits, data engine, desktop software, and Web development platforms.
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Cai, Hao, and Zheng Mao. "Research and Application of Display System of Component-Based Virtual Instrument for Land and Air Platforms." Journal of Physics: Conference Series 2218, no. 1 (March 1, 2022): 012083. http://dx.doi.org/10.1088/1742-6596/2218/1/012083.

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Abstract With the diversified combat missions in the new era and the development of industrialization, the demand for military and civilian equipment continues to increase, and the development and upgrade standards of land-air dual-use platforms must also move toward standardization. As the core of information visualization and control standardization, the component-based virtual instrument display platform is an important part of the integrated information display system of the land-air platform. The component display platform takes the optimization of the research and development, design and maintenance of the land and air mobile platform as the starting point, and at the same time meets the needs of wartime and meets the development trend of future informatization. It adopts engineering design ideas, hierarchical software layout and componentized ideas of man-machines. The concepts of interaction design are based on componentization techniques, serial communication, data dictionaries, pattern transformations, etc. A comprehensive information display platform aims to increase software productivity, reduce development costs and degree of coupling, and meet human-computer interaction as well as user-friendliness requirements.
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Utrilla, Ramiro, Roberto Rodriguez-Zurrunero, Jose Martin, Alba Rozas, and Alvaro Araujo. "MIGOU: A Low-Power Experimental Platform with Programmable Logic Resources and Software-Defined Radio Capabilities." Sensors 19, no. 22 (November 15, 2019): 4983. http://dx.doi.org/10.3390/s19224983.

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The increase in the number of mobile and Internet of Things (IoT) devices, along with the demands of new applications and services, represents an important challenge in terms of spectral coexistence. As a result, these devices are now expected to make an efficient and dynamic use of the spectrum, and to provide processed information instead of simple raw sensor measurements. These communication and processing requirements have direct implications on the architecture of the systems. In this work, we present MIGOU, a wireless experimental platform that has been designed to address these challenges from the perspective of resource-constrained devices, such as wireless sensor nodes or IoT end-devices. At the radio level, the platform can operate both as a software-defined radio and as a traditional highly integrated radio transceiver, which demands less node resources. For the processing tasks, it relies on a system-on-a-chip that integrates an ARM Cortex-M3 processor, and a flash-based FPGA fabric, where high-speed processing tasks can be offloaded. The power consumption of the platform has been measured in the different modes of operation. In addition, these hardware features and power measurements have been compared with those of other representative platforms. The results obtained confirm that a state-of-the-art tradeoff between hardware flexibility and energy efficiency has been achieved. These characteristics will allow for the development of appropriate solutions to current end-devices’ challenges and to test them in real scenarios.
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Wilson, Daniel Lawrence, Kendra N. Williams, and Ajay Pillarisetti. "An Integrated Sensor Data Logging, Survey, and Analytics Platform for Field Research and Its Application in HAPIN, a Multi-Center Household Energy Intervention Trial." Sustainability 12, no. 5 (February 28, 2020): 1805. http://dx.doi.org/10.3390/su12051805.

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Researchers rely on sensor-derived data to gain insights on numerous human behaviors and environmental characteristics. While commercially available data-logging sensors can be deployed for a range of measurements, there have been limited resources for integrated hardware, software, and analysis platforms targeting field researcher use cases. In this paper, we describe Geocene, an integrated sensor data logging, survey, and analytics platform for field research. We provide an example of Geocene’s ongoing use in the Household Air Pollution Intervention Network (HAPIN). HAPIN is a large, multi-center, randomized controlled trial evaluating the impacts of a clean cooking fuel and stove intervention in Guatemala, India, Peru, and Rwanda. The platform includes Bluetooth-enabled, data-logging temperature sensors; a mobile application to survey participants, provision sensors, download sensor data, and tag sensor missions with metadata; and a cloud-based application for data warehousing, visualization, and analysis. Our experience deploying the Geocene platform within HAPIN suggests that the platform may have broad applicability to facilitate sensor-based monitoring and evaluation efforts and projects. This data platform can unmask heterogeneity in study participant behavior by using sensors that capture both compliance with and utilization of the intervention. Platforms like this could help researchers measure adoption of technology, collect more robust intervention and covariate data, and improve study design and impact assessments.
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Faleh Hassan, Raaed. "Performance Investigation of Digital Lowpass IIR Filter Based on Different Platforms." International journal of electrical and computer engineering systems 12, no. 2 (June 21, 2021): 105–11. http://dx.doi.org/10.32985/ijeces.12.2.5.

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The work presented in this paper illuminates the design and simulation of a recursive or Infinite Impulse Response (IIR) filter. The proposed design algorithm employs the Genetic Algorithm to determine the filter coefficients to satisfy the required performance. The effectiveness of different platforms on filter design and performance has been studied in this paper. Three different platforms are considered to implement and verify the designed filter’s work through simulation. The first platform is the MATLAB/SIMULINK software package used to implement the Biquad form filter. This technique is the basis for the software implementation of the designed IIR filter. The HDL – Cosimulation technique is considered the second one; it inspired to take advantage of the existing tools in SIMULINK to convert the designed filter algorithm to the Very high-speed integrated circuit Hardware Description Language (VHDL) format. The System Generator is employed as the third technique, in which the designed filter is implemented as a hardware structure based on basic unit blocks provided by Xilinx System Generator. This technique facilitates the implementation of the designed filter in the FPGA target device. Simulation results show that the performance of the designed filter is remarkably reliable even with severe noise levels.
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35

Nuţi, Savin. "The importance of educational resources using online platforms in pre-university education." Scientific Bulletin of Naval Academy XXIII, no. 2 (December 15, 2020): 169–71. http://dx.doi.org/10.21279/1454-864x-20-i2-022.

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E-learning is the integrated hardware and software environment in which students individually or assisted by teachers, assimilate new knowledge and skills, in accordance with the objectives set, using specific training methods. In the Romanian education, e-learning is proving to be an excellent tool, the current period knowing a series of research efforts in the field of education through electronic media.
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Ursuțiu, Doru, Cornel Samoila, Marius Moga, and Vlad Jinga. "New Hardware (Beta Testing) with Potential to Be Used in Medical Care Using Wireless Technology and Virtual Instrumentation." Applied Mechanics and Materials 656 (October 2014): 606–14. http://dx.doi.org/10.4028/www.scientific.net/amm.656.606.

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In this paper we would like to strengthen the idea of how new hardware interacts with software technologies and how these new devices can be integrated in the medical care applications by using “Virtual Instrumentation” (software programs developed in the well known LabVIEW from National Instruments company) and wireless technology. The given examples will be referring to the new Intel “RealSense” product line, programmable systems-on-chip (PSoC and SoC), FPGA – field programmable gate array (Intel Galileo, Cypress PSoC4 Pioneer kit, Terasic DE2i-50, NI myRIO, etc.) and to the latest developed wireless systems that can work in mesh networks, being connected to the Internet (Microrisc IQRF wireless system, Intel Edison, Cypress wireless system, etc.). The new developed platforms are low-cost, product-ready, general purpose computer platforms that can be used or integrated for implementation of different parameters surveillance systems, data acquisitions, remote controlled applications, etc., all of these being very suitable for the medical care development domain.
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37

Tereshkin, S. I., A. Yu Nefedov, and V. A. Babkin. "DIGITAL PLATFORMS FOR THE OIL MARKET IN THE RUSSIAN FEDERATION AND ABROAD." Vestnik of Samara State University of Economics 4, no. 198 (April 2021): 17–23. http://dx.doi.org/10.46554/1993-0453-2021-4-198-17-23.

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Digitalization of the economic system of the Russian Federation is a natural process dictated by modern requirements for the development of the international market of goods and services. The widespread adoption of digital technologies will reduce the costs of the production process, as well as spend less time on obtaining a unit of production or on providing a service. The purpose of this study is to identify the advantages and disadvantages of digital platforms for the oil market. The research is based on the analysis of digital platforms developed by vertically integrated oil companies and other legal entities. As a result of the conducted research, it was revealed that the existing digital platforms differ in their functional purpose: some allow to optimize and control all stages of the production process; others are platforms for the implementation of various software solutions for the oil industry; others are an ecosystem designed for the purchase and sale of various product categories. The results obtained allow us to conclude that the oil market is in a favorable position for the development of a modern digital platform that takes into account the advantages and disadvantages of analogues, as well as creating its own ecosystem
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38

Thorpe, Dan, John Fouyaxis, Jessica M. Lipschitz, Amy Nielson, Wenhao Li, Susan A. Murphy, and Niranjan Bidargaddi. "Cost and Effort Considerations for the Development of Intervention Studies Using Mobile Health Platforms: Pragmatic Case Study." JMIR Formative Research 6, no. 3 (March 31, 2022): e29988. http://dx.doi.org/10.2196/29988.

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Background The research marketplace has seen a flood of open-source or commercial mobile health (mHealth) platforms that can collect and use user data in real time. However, there is a lack of practical literature on how these platforms are developed, integrated into study designs, and adopted, including important information around cost and effort considerations. Objective We intend to build critical literacy in the clinician-researcher readership into the cost, effort, and processes involved in developing and operationalizing an mHealth platform, focusing on Intui, an mHealth platform that we developed. Methods We describe the development of the Intui mHealth platform and general principles of its operationalization across sites. Results We provide a worked example in the form of a case study. Intui was operationalized in the design of a behavioral activation intervention in collaboration with a mental health service provider. We describe the design specifications of the study site, the developed software, and the cost and effort required to build the final product. Conclusions Study designs, researcher needs, and technical considerations can impact effort and costs associated with the use of mHealth platforms. Greater transparency from platform developers about the impact of these factors on practical considerations relevant to end users such as clinician-researchers is crucial to increasing critical literacy around mHealth, thereby aiding in the widespread use of these potentially beneficial technologies and building clinician confidence in these tools.
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39

Minchala, Luis I., Jonnathan Peralta, Paul Mata-Quevedo, and Jaime Rojas. "An Approach to Industrial Automation Based on Low-Cost Embedded Platforms and Open Software." Applied Sciences 10, no. 14 (July 8, 2020): 4696. http://dx.doi.org/10.3390/app10144696.

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This paper presents a performance evaluation of the development of the instrumentation, communications and control systems of a two-tank process by using low-cost hardware and open source software. The hardware used for automating this process consists of embedded platforms (Arduino and Raspberry Pi) integrated into programmable logic controllers (PLCs), which are connected to a supervisory control and data acquisition (SCADA) system implemented with an open source Industrial Internet of Things (IIoT) platform. The main purpose of the proposed approach is to evaluate low-cost automation solutions (hardware and software) within the framework of modern industry requirements in order to determine whether these technologies could be enabling factors of IIoT. The proposed control strategy for regulating tank levels combines the classic PID algorithm and the fuzzy gain scheduling PID (FGS-PID) approach. Fault detection capabilities are also enabled for the system through a fault detection and diagnosis module (FDD) implemented with an extended Kalman filter (EKF). The distributed controller’s (DC) algorithms are embedded into the PLC’s processors in order to demonstrate the flexibility of the proposed system. Additionally, a remote human to machine interface (HMI) is deployed through a web client of the IIoT application. Experimental results show the proper operation of the overall system.
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Kumar, Sunil, Kashyap Kambhatla, Fei Hu, Mark Lifson, and Yang Xiao. "Ubiquitous Computing for Remote Cardiac Patient Monitoring: A Survey." International Journal of Telemedicine and Applications 2008 (2008): 1–19. http://dx.doi.org/10.1155/2008/459185.

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New wireless technologies, such as wireless LAN and sensor networks, for telecardiology purposes give new possibilities for monitoring vital parameters with wearable biomedical sensors, and give patients the freedom to be mobile and still be under continuous monitoring and thereby better quality of patient care. This paper will detail the architecture and quality-of-service (QoS) characteristics in integrated wireless telecardiology platforms. It will also discuss the current promising hardware/software platforms for wireless cardiac monitoring. The design methodology and challenges are provided for realistic implementation.
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Hall, David, Suchendra M. Bhandarkar, and Jian Wang. "ODS2: A Multiplatform Software Application for Creating Integrated Physical and Genetic Maps." Genetics 157, no. 3 (March 1, 2001): 1045–56. http://dx.doi.org/10.1093/genetics/157.3.1045.

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Abstract A contig map is a physical map that shows the native order of a library of overlapping genomic clones. One common method for creating such maps involves using hybridization to detect clone overlaps. False-positive and false-negative hybridization errors, the presence of chimeric clones, and gaps in library coverage lead to ambiguity and error in the clone order. Genomes with good genetic maps, such as Neurospora crassa, provide a means for reducing ambiguities and errors when constructing contig maps if clones can be anchored with genetic markers to the genetic map. A software application called ODS2 for creating contig maps based on clone-clone hybridization data is presented. This application is also designed to exploit partial ordering information provided by anchorage of clones to a genetic map. This information, along with clone-clone hybridization data, is used by a clone ordering algorithm and is represented graphically, allowing users to interactively align physical and genetic maps. ODS2 has a graphical user interface and is implemented entirely in Java, so it runs on multiple platforms. Other features include the flexibility of storing data in a local file or relational database and the ability to create full or minimum tiling contig maps.
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42

Kim, Bohun, Junghoon Cho, Byungjun Choi, Jongsun Park, and Hwajeong Seo. "Compact Implementations of HIGHT Block Cipher on IoT Platforms." Security and Communication Networks 2019 (December 31, 2019): 1–10. http://dx.doi.org/10.1155/2019/5323578.

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Recent lightweight block cipher competition (FELICS Triathlon) evaluates efficient implementations of block ciphers for Internet of things (IoT) environment. In the competition, the implementation of HIGHT block cipher achieved the most efficient lightweight block cipher, in terms of code size (ROM), memory (RAM), and execution time. In this paper, we further investigate lightweight features of HIGHT block cipher and present the optimized implementations of both software and hardware for low-end IoT platforms, including resource-constrained devices (8-bit AVR and 32-bit ARM Cortex-M3) and application-specific integrated circuit (ASIC). By using proposed optimization methods, the implemented HIGHT block cipher shows better performance compared to previous state-of-the-art implementations.
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43

Liu, Lu, Feng Pan, Zhe An, and Dingyu Xue. "Target tracking control and semi-physical simulation of Qball-X4 quad-rotor unmanned aerial vehicle." International Journal of Advanced Robotic Systems 14, no. 1 (January 1, 2017): 172988141668695. http://dx.doi.org/10.1177/1729881416686956.

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In this article, a set of integrated ground target tracking flight system has been proposed based on the Qball-X4 quad-rotor unmanned aerial vehicle hardware platform and the QuaRC software platform. Both of the hardware and software platforms are developed by Quanser Company, Canada. The proposed tracking and positioning algorithm could be divided into several stages. First, a tracker is developed based on an optical flow method to track the target; and then, in order to improve the reliability of tracking algorithm and also help in retrieving the lost target, a cascade target detector is developed; meanwhile, a model updated scheme aiming at some possible errors in tracking and detecting process is presented based on Positive-Negative (P-N) learning system; at last, a monocular visual positioning system is designed based on the corresponding navigation message. In addition, the effectiveness of the proposed flight control system is verified by both simulation and hardware-in-loop system results in several tracking flight tests.
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44

Modesitt, Adam. "Mashup and Assemblage in Digital Workflows: The Role of Integrated Software Platforms in the Production of Architecture." Architectural Design 87, no. 3 (April 7, 2017): 34–41. http://dx.doi.org/10.1002/ad.2171.

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45

Gold, Heather Taffet, Raj J. Karia, Alissa Link, Rachel Lebwohl, Joseph D. Zuckerman, Thomas J. Errico, James D. Slover, Aaron J. Buckland, Devin M. Mann, and Michael N. Cantor. "Implementation and early adaptation of patient-reported outcome measures into an electronic health record: A technical report." Health Informatics Journal 26, no. 1 (December 5, 2018): 129–40. http://dx.doi.org/10.1177/1460458218813710.

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We integrated and optimized patient-reported outcome measures into the electronic health record to provide quantitative, objective data regarding patients’ health status, which is important for patient care, payer contracts, and research. With a multidisciplinary team from information technology, clinical informatics, population health, and physician champions, we used formal human–computer interaction techniques and user-centered design to integrate several technology platforms and computerized adaptive testing for the National Institutes of Health Patient-Reported Outcomes Measurement Information System. The patient-reported outcome measure system leverages software frequently used by health systems and provides data for research and clinical care via a mobile-responsive web application using Symfony, with REDCap for configuring assessments and de-identified data storage. The system incorporates Oracle databases and Epic flowsheets. Patients complete patient-reported outcome measures, with data viewable in MyChart and Epic Synopsis Reports. Researchers can access data portals. The highly usable, successful patient-reported outcome measures platform is acceptable to patients and clinicians and achieved 73 percent overall completion rates.
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46

Siiskonen, Maria, Johan Malmqvist, and Staffan Folestad. "Integrated product and manufacturing system platforms supporting the design of personalized medicines." Journal of Manufacturing Systems 56 (July 2020): 281–95. http://dx.doi.org/10.1016/j.jmsy.2020.06.016.

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47

Zhan, Wei, Ana Goulart, Joseph A. Morgan, and Jay R. Porter. "Vertical And Horizontal Integration Of Laboratory Curricula And Course Projects Across The Electronic Engineering Technology Program." American Journal of Engineering Education (AJEE) 2, no. 2 (November 23, 2011): 67–80. http://dx.doi.org/10.19030/ajee.v2i2.6639.

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This paper discusses the details of the curricular development effort with a focus on the vertical and horizontal integration of laboratory curricula and course projects within the Electronic Engineering Technology (EET) program at Texas A&M University. Both software and hardware aspects are addressed. A common set of software tools are introduced to the sophomore students in the EET curriculum; these tools are then used in several junior and senior level courses. Through early and repeated exposure to these tools, students learn to use them more effectively to solve various engineering problems in laboratory and course projects. A DC permanent magnetic motor is identified as one of the common hardware platforms for multiple course projects. By using a common platform for different course projects, the students can spend much less time preparing for the course projects. With each course adding different features to the common platform, the learning experience in several courses becomes seamlessly integrated. Surveys were conducted to show that the curriculum development effort improved the efficiency of student learning and enhanced the students’ educational experience.
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48

Kamili, Farhan, and Hang Lu. "Recent Advances and Trends in Microfluidic Platforms for C. elegans Biological Assays." Annual Review of Analytical Chemistry 11, no. 1 (June 12, 2018): 245–64. http://dx.doi.org/10.1146/annurev-anchem-061417-125604.

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Microfluidics has proven to be a key tool in quantitative biological research. The C. elegans research community in particular has developed a variety of microfluidic platforms to investigate sensory systems, development, aging, and physiology of the nematode. Critical for the growth of this field, however, has been the implementation of concurrent advanced microscopy, hardware, and software technologies that enable the discovery of novel biology. In this review, we highlight recent innovations in microfluidic platforms used for assaying C. elegans and discuss the novel technological approaches and analytic strategies required for these systems. We conclude that platforms that provide analytical frameworks for assaying specific biological mechanisms and those that take full advantage of integrated technologies to extract high-value quantitative information from worm assays are most likely to move the field forward.
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Coombs, Joseph, Rahul Prabhu, and Greg Peake. "Overcoming the Challenges of Porting OpenCV to TI's Embedded ARM + DSP Platforms." International Journal of Electrical Engineering & Education 49, no. 3 (July 2012): 260–74. http://dx.doi.org/10.7227/ijeee.49.3.6.

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The growing performance and decreasing price of embedded processors are opening many doors, for both developers in the industry and in academia. However, the complexities of these systems can create serious developmental bottlenecks. Sophisticated software packages such as OpenCV can assist in both the functional development and educational aspects of these otherwise complex applications; such tools lend themselves very well to use by the academic community, in particular in providing examples of algorithm implementation. However the task of migrating this software to embedded platforms poses its own challenges. This paper will review how to mitigate some of these issues, including C++ implementation, memory constraints, floating-point support, and opportunities to maximise performance using vendor-optimised libraries and integrated accelerators or co-processors. Finally, we will introduce a new effort by Texas Instruments to optimise vision systems by running OpenCV on the C6000™ digital signal processor architecture. Benchmarks will show the advantage of using the DSP by comparing the performance of a DSP+ARM® system-on-chip (SoC) processor against an ARM-only device.
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Nandhini, S., Prangad Khanna, Sachit Jain, and Raunak Pal. "An Integrated Approach to Encompass Big Data Cloud Adoption Using Data Mining." Journal of Computational and Theoretical Nanoscience 17, no. 8 (August 1, 2020): 3383–88. http://dx.doi.org/10.1166/jctn.2020.9191.

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Text Mining is one of the most censorious techniques for analysis of data. It processes the unstructured data which has been found to hold nearly 80% of the world’s data. In the present time a majority of industries and big firms use and store massive amount of data sets. The information gets stored in the data Warehouses, and cloud platforms respectively. The data getting stored shows an exponential growth each time since multiple amount of new data is said to get stored every minute from distinct sources. Due to heavy presence of information stored in the platforms it becomes difficult to gather and extract the most relevant part from the data. Thus, text mining and data mining techniques are applied with algorithms such as CNN and RNN supporting it. The algorithm performs deep analysis of data and presents the most relevant piece of information, removing the less important ones. The relevance of the project comes into existence when it’s seen to be integrated into industries such as software markets, social media analysis and formulating of market reports. Thus, providing an extremely comprehensive information which would enhance scope and application of the data getting stored.
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