Journal articles on the topic 'Optimization-based Integration Platform'
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1
Li, Ang, and Chun Jie Wang. "Construction of Lander Multidisciplinary Optimization Platform." Key Engineering Materials 407-408 (February 2009): 180–84. http://dx.doi.org/10.4028/www.scientific.net/kem.407-408.180.
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In the course of present space lander’s optimization, the problems, such as hardness of information integration, partiality of optimization, still exist. In order to solve these problems, Lander Multidisciplinary Optimization Platform has been built. Four engineering tools (Pro/Engineer, Patran, Nastran, ADAMS) are integrated into the platform based on optimization software—iSIGHT, which could ensure space lander’s kinematics and dynamics characteristics. Good optimum scheme is obtained after comprehensive optimization of the platform. Besides, the platform is managed by simulation management software—MSC.SimManage. Multidisciplinary optimization can be realized automatically through parameterized interface of the platform.
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Guo, Ruijie, Shengbo Ye, and Yicai Ji. "Optimization Acceleration Integral Method Based on Power Spectrum Estimation." MATEC Web of Conferences 176 (2018): 03012. http://dx.doi.org/10.1051/matecconf/201817603012.
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Due to the excellent performance of the frequency domain integration method, it is widely used for acceleration integral calculations. However, the frequency-domain integration needs to select the effective integration frequency band to achieve its optimal integration performance. This paper proposes the method with power spectrum density (PSD) estimation to realize the optimization integral of the acceleration signal. By analysing the power spectrum density of the acceleration signal, the optimal low frequency cut-off frequency is obtained. Combined with frequency domain integration algorithm, it can effectively remove low-frequency noise and improve integral accuracy. Then, the novel algorithm tested by an experiment platform with a vibration bench. Experiment results show that this algorithm can adaptively select the low-frequency cut-off frequency and realize frequency domain integration optimization and the integration error is controlled within ±0.2mm.
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Zsiros, Attila, Attila Fülöp, and Gábor Jeney. "Joint Optimization in UMTS-Based Video Transmission." Advances in Multimedia 2007 (2007): 1–14. http://dx.doi.org/10.1155/2007/28340.
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A software platform is exposed, which was developed to enable demonstration and capacity testing. The platform simulates a joint optimized wireless video transmission. The development succeeded within the frame of the IST-PHOENIX project and is based on the system optimization model of the project. One of the constitutive parts of the model, the wireless network segment, is changed to a detailed, standard UTRA network simulation module. This paper consists of (1) a brief description of the projects simulation chain, (2) brief description of the UTRAN system, and (3) the integration of the two segments. The role of the UTRAN part in the joint optimization is described, with the configuration and control of this element. Finally, some simulation results are shown. In the conclusion, we show how our simulation results translate into real-world performance gains.
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Tan, Hongyun, and Yiping Li. "News Information Platform Optimization Based on the Internet of Things." Wireless Communications and Mobile Computing 2021 (May 28, 2021): 1–11. http://dx.doi.org/10.1155/2021/9403874.
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The Internet of Things device online recommendation system has been applied in some Internet of Things operating companies and has achieved good results. In the process of designing and implementing the Internet of Things equipment online promotion system, this article uses the news information protocol transmission structure language to explain the use case analysis and activity diagram analysis of the Internet of Things equipment online promotion system and uses the Spring Hibernate (SH) integration framework in the field of the news information topology layer under the Internet of Things. Then, design and implement the technical architecture and main functional modules of the Internet of Things device online recommendation system, effectively improving the development efficiency and operating quality of the Internet of Things device online recommendation system. The system design concept and implementation ideas can be used as a reference for related industries when developing enterprise applications. This article uses the news information protocol transmission structure language to explain the demand analysis of the Internet of Things equipment online promotion system and mainly discusses the analysis of the use case of the Internet of Things equipment online promotion system and the analysis of core business activity diagrams. We completed the design of the Internet of Things device online promotion system based on the news information topology layer platform under the Internet of Things, mainly using the integration framework in the field of the news information topology layer under the Internet of Things to design the technical architecture of the Internet of Things device online promotion system, and design the Internet of Things of the function module structure and data table structure of the equipment online recommendation system. At the same time, they complete the realization of the main functions of the Internet of Things device online recommendation system; elaborate on the realization process of core modules such as Internet of Things device category management, Internet of Things device information management, announcement management, and device recommender management; and discuss the system testing process and application effects.
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Li, Yu, Tai Yong Wang, and Yin Ming Ge. "Adaptable Dynamic Design Platform Based on CAX/PDM System." Advanced Materials Research 694-697 (May 2013): 168–71. http://dx.doi.org/10.4028/www.scientific.net/amr.694-697.168.
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This paper proposed a construction method of the adaptable dynamic design platform based on CAX / PDM system. The method includes three main stages: the establishment of adaptable design service platform, trace dynamic design, variable design and optimization. In addition, a PDM server should be erected as the ties of the whole platform. The platform can be applied to other manufacture industries and reduce the waste of resources. This method can accumulate the experience of redesigning and manufacturing. The seamless integration of data transformation, product designing, analysis, simulation and manufacturing is available. The ultimate goal is the optimization and deformation acceleration of target product.
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Zhou, Wei, Qing Min Liao, and Fei Zhou. "A Design of Infrared Spots Tracking Platform Based on the Camera." Applied Mechanics and Materials 336-338 (July 2013): 392–96. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.392.
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This paper presents a kind of verification platform similar to Wiimote infrared spots tracking, which is based on the ordinary camera, FPGA, MCU, and Bluetooth. By the maximum of data compression and algorithm optimization, this platform reduces the SW/HW resources and achieves the requirements of low-cost ASIC integration.
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Chang, Bao Rong, Yun-Da Lee, and Po-Hao Liao. "Development of Multiple Big Data Analytics Platforms with Rapid Response." Scientific Programming 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/6972461.
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The crucial problem of the integration of multiple platforms is how to adapt for their own computing features so as to execute the assignments most efficiently and gain the best outcome. This paper introduced the new approaches to big data platform, RHhadoop and SparkR, and integrated them to form a high-performance big data analytics with multiple platforms as part of business intelligence (BI) to carry out rapid data retrieval and analytics with R programming. This paper aims to develop the optimization for job scheduling using MSHEFT algorithm and implement the optimized platform selection based on computing features for improving the system throughput significantly. In addition, users would simply give R commands rather than run Java or Scala program to perform the data retrieval and analytics in the proposed platforms. As a result, according to performance index calculated for various methods, although the optimized platform selection can reduce the execution time for the data retrieval and analytics significantly, furthermore scheduling optimization definitely increases the system efficiency a lot.
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Kushwaha, Arvinda, and Mohd Amjad. "A Particle Swarm Optimization Based Load Scheduling Algorithm in Cloud Platform for Wireless Sensor Networks." Scalable Computing: Practice and Experience 20, no. 1 (March 9, 2019): 71–82. http://dx.doi.org/10.12694/scpe.v20i1.1464.
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Integration of wireless sensor network into cloud computing is a growing paradigm that supports a massive amount of applications in cloud computing, optimization of resources required in the machines. This integration requires the optimization of resources to efficiently complete the different tasks in the devices at cloud platform. This optimization can be done using load scheduling algorithms. These algorithms reduce overload and achieve higher throughput by maximizing the machine utilization concerning cost stabilization. There are lots of methods like First Come First Serve, Min-Min, Particle Swarm Optimization (PSO) for optimizing the load but we use Particle Swarm Optimization as it obtains the motivation from the social behavior of the flock of birds and analyses various approaches for load scheduling. In this paper, we propose the load scheduling algorithm based on PSO in wireless sensor networks for cloud computing to minimize total transfer time and cost stabilization. The proposed method is compared with the existing approaches used for load scheduling in Cloudlets. It is clear from the simulation results that the proposed method is more efficient because it minimizes the transfer time and cost than the conventional algorithms thereby making a system for cost stable.
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Ding, Ke, Qi Yuan He, and Gang Chen. "Research of Information Integration for the Grid Panoramic Information Platform Based on SOA." Applied Mechanics and Materials 667 (October 2014): 50–54. http://dx.doi.org/10.4028/www.scientific.net/amm.667.50.
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The development and construction of the smart grid require the efficient integration of the communication data of the grid enterprises, the optimization of operation and management of the grid. The paper introduces the characteristics and the requirements of the construction of the grid panoramic information platform, in allusion to the heterogeneous professional application system and the information isolated island phenomenon in power grid. The paper designs the panoramic information system frame based on the service oriented architecture (SOA) and proposes the schemes of the panoramic information integration and the information integration solution, providing a firm basic information platform for the unified management, production and operation and the forewarning decision of the smart grid.
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Yan, Yan, Liyan Zhang, Yuhan Li, Xiangyu Xu, Zhencheng Jiang, and Feiyu Cheng. "Research on solar water heating system based on TRNSYS simulation optimization." Journal of Mines, Metals and Fuels 69, no. 4 (May 13, 2021): 132. http://dx.doi.org/10.18311/jmmf/2021/27801.
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In this paper, the typical system of solar energy system: natural circulation system and forced circulation system are analyzed. The two systems are simulated on the TRNSYS platform, and the configuration of the system itself has been discussed. The purpose is to provide reference for the scientific implementation of solar energy architecture integration. On the basis of summarizing the solar energy construction technology, the natural circulation system and the forced circulation system of solar hot water system have been discussed emphatically. The simulation experiment is designed on the TRNSYS platform. The influence of different heat collection area and water tank volume on solar energy guarantee rate and system efficiency has been discussed by simulation data. Finally, the optimal allocation scheme of natural constraints of natural circulation and forced circulation has been obtained.
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Benedikt, Michael, Fergus Cooper, Stefano Germano, Gabor Gyorkei, Efthymia Tsamoura, Brandon Moore, and Camilo Ortiz. "PDQ 2.0." ACM SIGMOD Record 51, no. 4 (January 9, 2023): 36–41. http://dx.doi.org/10.1145/3582302.3582308.
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Reasoning-based query planning has been explored in many contexts, including relational data integration, the SemanticWeb, and query reformulation. But infrastructure to build reasoning-based optimization in the relational context has been slow to develop. We overview PDQ 2.0, a platform supporting a number of reasoningenhanced querying tasks. We focus on a major goal of PDQ 2.0: obtaining a more modular and flexible architecture for reasoning-based query optimization.
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Xiang, Guangwei, Peng Mi, Guoqing Yi, Chao Wang, and Wei Liu. "Automatic Strain Gauge Balance Design Optimization Approach and Implementation Based on Integration of Software." Measurement Science Review 20, no. 1 (February 1, 2020): 22–34. http://dx.doi.org/10.2478/msr-2020-0004.
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AbstractThe traditional wind tunnel strain balance design cycle is a manual iterative process. With the experience and intuition of the designer, one solution that meets the design requirements can be selected among a small number of design solutions. This paper introduces a novel software integration-based automatic balance design optimization system (ABDOS) and its implementation by integrating professional design knowledge and experience, stepwise optimization strategy, CAD-CAE software, self-developed scripts and tools. The proposed two-step optimization strategy includes the analytical design process (ADP) and the finite element method design process (FEDP). The built-in optimization algorithm drives the design variables change and searches for the optimal structure combination meeting the design objectives. The client-server based network architecture enables local lightweight design input, task management, and result output. The high-performance server combines all design resources to perform all the solution calculations. The development of more than 10 balances that have been completed and a case study show that this method and platform significantly reduce the time for design evaluation and design-analysis-redesign cycles, assisting designers to comprehensively evaluate and improve the performance of the balance.
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Xue, Wanxin, Yilei Pei, Dandan Li, and Yi Li. "Factors Affecting Users' Release Behavior Intention Based on WeChat Innovation Platform." Journal of Electronic Commerce in Organizations 15, no. 4 (October 2017): 72–82. http://dx.doi.org/10.4018/jeco.2017100106.
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WeChat is a typical representative of mobile media technology, which changes the way people live and work. This paper explores influence factors of users' release behavior intention, from the perspective of recessive perception factors of technology acceptance and obvious factors of task technology fit based on the integration theory of Motivation Model theory (MM) and Need-Technology Fit theory (NTF). Some suggestions are put forward to improve users' behavior intention and actual behaviors, to provide the reference for the optimization of mobile social media information technology.
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Chen, Jing, Liang Liang Yang, and Zhen Yang Wu. "Multi-Objective Optimization Design of the Helical Cylindrical Gear Transmission Based on ISIGHT." Applied Mechanics and Materials 556-562 (May 2014): 1021–25. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1021.
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Aiming to reduce the volume of helical gear and the heat generated by the friction of meshing place, the multi-objective optimization design model of helical cylindrical gear transmission is established. The calculator is integrated in ISIGHT integration platform, then to solve the mathematical model. The optimization result shows that the volume of helical gear and the friction power loss of meshing place are reduced, the purpose is achieved which will reduce the production costs and prolong its working life.
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Yao, Xin Sheng, Ji Lai Ying, and Li Xin Cao. "Study on the Integration of Regional Logistics Resources Based on SOA." Advanced Materials Research 482-484 (February 2012): 2153–56. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.2153.
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China logistics industry is in a very high degree of marketization, which enterprises are uneven in scale and level, presenting with the scattered, weak, disordered and other typical features. Additionally, for lack of information platform and prefect industry management, the whole industry service quality is low; the logistics collaboration between the supply and demand becomes more difficult. Based on the SOA mode, this paper studies the regional logistics integration structure, regional logistics resource optimization. Combined with case study, the logistics business process based on SOA integration will promote a new way for the development of regional logistics industry.
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Rabia, Rahla, and Sathish Kumar. "BIM and GIS integrated utility supply station location optimization and possibilities." Journal of Applied Engineering Science 20, no. 4 (2022): 1384–94. http://dx.doi.org/10.5937/jaes0-40600.
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Optimal planning of utility supply station location is an integral part of infrastructural projects. In general, this is a multi-objective optimization process by considering engineering, financial and geographical constraints. A shift from conventional 2D-CAD, manual quantification and design application-based approach to Building Information Modelling (BIM)-Geographic Information System (GIS) integrated approach is found to be suitable for minimizing optimal planning time, cost and increasing automation. In this paper, an Autodesk Revit add-in tool is proposed aimed at integrating BIM and GIS for Genetic Algorithm (GA) based utility supply station location optimization and to assess the possibilities of this integration. From the case study it is observed that up to 90% of cost saving can be accomplished by this proposed approach. It is found that compared to the traditional multi-software approach with manual data transfer, this integration can be utilized for multi-stage optimization and is suitable for automating heterogenous data integration with increased accuracy. The platform in which the add-in tool is developed for the utility network can be at either BIM or GIS and this selection is influenced by the availability and ease of data retrieval from the respective semantic information system and the level of automation that is to be accomplished. Standardised BIM-based modelling combined with concepts like artificial intelligence and image processing techniques can be promising for attaining desired results in industrial applications.
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Xu, Feng. "Research on the Dilemma and Path of Rural Industry Integration and Internet Revitalization Driven by e-Commerce." Applied Bionics and Biomechanics 2022 (September 13, 2022): 1–10. http://dx.doi.org/10.1155/2022/8665698.
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Because e-commerce is based on the Internet, it has the advantages of fast response speed and strong promotion ability, which potentially mitigates the problems of low popularity and unreasonable industrial structure in the development of rural industries. This paper integrates Internet technology, studies in detail the functional process of rural industries integrating the Internet, and establishes the corresponding platform. Then, it analyzes the problems of rural industrial integration of the Internet to achieve rural revitalization and applies this rural industrial integration of the Internet revitalization platform to the rural development of different cities. By studying the difficulties in rural industry among cities, this paper compares and analyzes the optimization measures of this path and puts forward the corresponding solutions. In short, this paper integrates rural industry with Internet technology, which greatly improves the popularity of rural industry, optimizes the rural industrial structure, and provides ideas and experimental support for the realization of rural revitalization.
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Pushpa R. and M. Siddappa. "An Optimal Way of VM Placement Strategy in Cloud Computing Platform Using ABCS Algorithm." International Journal of Ambient Computing and Intelligence 12, no. 3 (July 2021): 16–38. http://dx.doi.org/10.4018/ijaci.2021070102.
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In this paper, VM replacement strategy is developed using the optimization algorithm, namely artificial bee chicken swarm optimization (ABCSO), in cloud computing model. The ABCSO algorithm is the integration of the artificial bee colony (ABC) in chicken swarm optimization (CSO). This method employed VM placement based on the requirement of the VM for the completion of the particular task using the service provider. Initially, the cloud system is designed, and the proposed ABCSO-based VM placement approach is employed for handling the factors, such as load, CPU usage, memory, and power by moving the virtual machines optimally. The best VM migration strategy is determined using the fitness function by considering the factors, like migration cost, load, and power consumption. The proposed ABCSO method achieved a minimal load of 0.1688, minimal power consumption of 0.0419, and minimal migration cost of 0.0567, respectively.
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Guimbao, Joaquin, Lorenzo Sanchis, Lukas M. Weituschat, Jose M. Llorens, and Pablo A. Postigo. "Perfect Photon Indistinguishability from a Set of Dissipative Quantum Emitters." Nanomaterials 12, no. 16 (August 15, 2022): 2800. http://dx.doi.org/10.3390/nano12162800.
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Single photon sources (SPS) based on semiconductor quantum dot (QD) platforms are restricted to low temperature (T) operation due to the presence of strong dephasing processes. Although the integration of QD in optical cavities provides an enhancement of its emission properties, the technical requirements for maintaining high indistinguishability (I) at high T are still beyond the state of the art. Recently, new theoretical approaches have shown promising results by implementing two-dipole-coupled-emitter systems. Here, we propose a platform based on an optimized five-dipole-coupled-emitter system coupled to a cavity which enables perfect I at high T. Within our scheme the realization of perfect I single photon emission with dissipative QDs is possible using well established photonic platforms. For the optimization procedure we have developed a novel machine-learning approach which provides a significant computational-time reduction for high demanding optimization algorithms. Our strategy opens up interesting possibilities for the optimization of different photonic structures for quantum information applications, such as the reduction of quantum decoherence in clusters of coupled two-level quantum systems.
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Gu, Lingling. "Integration and Optimization of Ancient Literature Information Resources Based on Big Data Technology." Mobile Information Systems 2021 (August 18, 2021): 1–8. http://dx.doi.org/10.1155/2021/6452418.
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Big data refers to a collection of data that cannot be captured, managed, and processed with conventional software tools within a certain time frame. It is a massive, high-volume, high-volume data that requires new processing models to have stronger decision-making power, insight and discovery, process optimization capabilities, growth rate, and diversified information assets. This article aims to study the integration and optimization of ancient literature information resources of big data technology, that is, to integrate and optimize ancient literature information resources through big data technology and make the literature more systematic and complete, allowing readers to find and browse literature more conveniently. This paper focuses on the literary works and the related collation, annotation, and textual research results and divides the scope of each subtopic according to the genre. The biggest difference between the information platform built in this paper and the existing ancient books database is that it has the functions of semantic analysis, subject retrieval, data generation, and so on. After text learning, the computer can automatically classify related vocabulary. Based on the effective integration of big data and cultural resources, the experimental results of this article show that, so far, through technical optimization and resource integration, the number of ancient literature reincorporated has exceeded 12,000 copies, and more than 10,000 publications have been restored. Therefore, big data technology is essential for the integration and optimization of cultural resources.
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Zhu, Chen, Minyou Ye, Xufeng Liu, Shenji Wang, Shifeng Mao, Zhongwei Wang, and Yi Yu. "Development of Vacuum Vessel Design and Analysis Module for CFETR Integration Design Platform." Science and Technology of Nuclear Installations 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/5321057.
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An integration design platform is under development for the design of the China Fusion Engineering Test Reactor (CFETR). It mainly includes the integration physical design platform and the integration engineering design platform. The integration engineering design platform aims at performing detailed engineering design for each tokamak component (e.g., breeding blanket, divertor, and vacuum vessel). The vacuum vessel design and analysis module is a part of the integration engineering design platform. The main idea of this module is to integrate the popular CAD/CAE software to form a consistent development environment. Specifically, the software OPTIMUS provides the approach to integrate the CAD/CAE software such as CATIA and ANSYS and form a design/analysis workflow for the vacuum vessel module. This design/analysis workflow could automate the process of modeling and finite element (FE) analysis for vacuum vessel. Functions such as sensitivity analysis and optimization of geometric parameters have been provided based on the design/analysis workflow. In addition, data from the model and FE analysis could be easily exchanged among different modules by providing a unifying data structure to maintain the consistency of the global design. This paper describes the strategy and methodology of the workflow in the vacuum vessel module. An example is given as a test of the workflow and functions of the vacuum vessel module. The results indicate that the module is a feasible framework for future application.
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Chornous, Galyna O., and Viktoriya L. Gura. "Integration of Information Systems for Predictive Workforce Analytics: Models, Synergy, Security of Entrepreneurship." European Journal of Sustainable Development 9, no. 1 (February 1, 2020): 83. http://dx.doi.org/10.14207/ejsd.2020.v9n1p83.
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The era of information economy leads to redesigning not only business models of organizations but also to rethinking the human resources paradigm to harness the power of state-of-the-art technology for Human Capital Management (HCM) optimization. Predictive analytics and computational intelligence will bring transformative change to HCM. This paper deals with issues of HCM optimization based on the models of predictive workforce analytics (WFA) and Business Intelligence (BI). The main trends in the implementation of predictive WFA in the world and in Ukraine, as well as the need to protect business data for security of entrepreneurship and the tasks of predictive analysis in the context of proactive HCM were examined. Some models of effective integration of information systems for predictive WFA were proposed, their advantages and disadvantages were analyzed. These models combine ERP, HCM, BI, Predictive Analytics, and security systems. As an example, integration of HCM system, the analytics platform (IBM SPSS Modeler), BI system (IBM Planning Analytics), and security platform (IBM QRadar Security Intelligence Platform) for predicting the employee attrition was shown. This integration provides a cycle ‘prediction – planning – performance review – causal analysis’ to support protected data-driven decision making in proactive HCM The results of the research support ensuring the effective management of all spectrum of risks associated with the collection, storage and use of data.
Keywords: Workforce Analytics (WFA), Human Capital Management (HCM), Predictive Analytics, Proactive Management, BI, Information Systems (IS), Integration, Security of Entrepreneurship
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Chu, Ting. "Integration and Application of Online Sports Resources Based on Multidimensional Intelligent Technology and Resource Optimization Architecture." Journal of Advanced Transportation 2022 (June 3, 2022): 1–9. http://dx.doi.org/10.1155/2022/2333497.
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Share the relevant factors of the overall structure of the sports network in colleges and universities, and divide the overall structure of its operation system. In view of the unequal division of educational resources, this paper proposes the construction content of the college sports network education resource sharing mechanism: the construction of college sports network education resources, the college sports network education resource sharing platform, and the management and coordination of college network education resources sharing. In the guidance of cybernetics based on the basic characteristics of network education resources, the sharing of sports network education resources is realized, so as to effectively build a scientific evaluation index system.
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Feng, Yan, and Zhongyu Pan. "Optimization of Remote Public Medical Emergency Management System with Low Delay Based on Internet of Things." Journal of Healthcare Engineering 2021 (March 29, 2021): 1–10. http://dx.doi.org/10.1155/2021/5570500.
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Due to the limitation of economic geography condition, the existing health resources distribution is uneven, the emergence of remote medical disciplines perfectly solved this difficult problem, using computer and network communication network on audio video information transmissions, querying, display, storage, and backup and realizing the network of outpatient service, remote consultation, health advice, and other functions. Telemedicine enables the limited available medical resources to be shared and fully utilized and also enables many economically underdeveloped provinces to enjoy a higher level of medical sharing services. Public health emergency management system on the overall design of the low latency according to system function will be based on the Internet of things. The remote public health emergency management system is divided into three subsystems low latency modules, basic subsystems of platform, application platform, and specific application subsystems, and designs the structure of the various modules. The implementation process is given. In the realization of the system, this paper describes in detail how to realize the functions of the public medical low delay emergency management system, and, in the end, the realization process of the system is reasonably summarized. The application of Internet of things technology in regional emergency rescue can realize the identification and real-time positioning of material personnel, the collection and transmission of the wounded’s physiological information, real-time information transmission, and interaction based on mobile handheld devices, as well as the integration of emergency rescue resources, information integration, and command decision-making, so as to assist rescue operations and improve rescue efficiency.
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Zhang, Cong, Zige Fan, Yaonan Dai, Hang Chen, Sikai Wang, and Xubing Chen. "Path Planning of Laser Soldering System Based on Intelligent Algorithm." Sensors 22, no. 21 (October 24, 2022): 8120. http://dx.doi.org/10.3390/s22218120.
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Laser soldering has been gradually applied to the soldering of electronic components due to the rapid development of microelectronics. However, it is inefficient to use a mechanical shaft to move a laser beam. Here, a laser soldering system is constructed using galvanometer scanning, and an intelligent algorithm is also introduced to optimize the soldering path. Firstly, a laser soldering system for scanning of galvanometers is established, and the functions of visual monitoring, motion planning and parameter integration are presented. Secondly, the position of the laser beam and the corresponding soldering spot are determined, and the coordinate information is provided to plan a route by camera calibration and coordinate system transformation. Finally, the problem of path planning in this system is decomposed into the generation of the soldering point full coverage processing frame, and the route optimization of processing platform and laser beam motion. Furthermore, an improved clustering algorithm, based on the characteristics of system structure, and a hybrid optimization algorithm are designed to deal with the generation of the soldering point full coverage processing frame, the route optimization of processing platform and laser beam motion. In addition, the simulations and experiments are verified by test board. These findings shown that the established system and designed optimization algorithm can promote the efficiency of laser soldering.
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Gao, Zhan, Zhihai Suo, Jun Liu, Mo Xu, Dandan Hong, Hua Wen, and Xiangting Ji. "Construction practice of student evaluation system based on JFinal + webix integrated framework and Baidu AI platform." MATEC Web of Conferences 336 (2021): 05016. http://dx.doi.org/10.1051/matecconf/202133605016.
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Students' evaluation of teaching is a key link to realize teaching quality monitoring and promote teachers' teaching level. Based on the practice of student evaluation in our university, this paper constructs a multi-level student evaluation system, and develops an online student evaluation system by using JFinal+webix integration framework. The new Internet plus evaluation model is established to improve the efficiency of student evaluation and the enthusiasm of students to evaluate teaching. Meanwhile, based on the analysis of students' comments on teaching by Baidu AI platform, It provides data support for the improvement of learning level and the optimization of teaching evaluation.
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Chen, Lisheng, Zhiyi Li, Taili Chen, Guoqiang Zhao, and Yi Shen. "A TIM-based Method of Automatic Generation of FE Models for Pit Engineering." Journal of Physics: Conference Series 2287, no. 1 (June 1, 2022): 012046. http://dx.doi.org/10.1088/1742-6596/2287/1/012046.
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Abstract BIM (Building Information Modeling) technology has developed rapidly in many fields of civil engineering. However, in pit engineering, the method of automatically generating FE models by BIM models is not as mature as that in tunnel engineering. There are still some problems in it, such as the lack of stratum data and construction data, the limit of geometric models, and the weak of the integration of numerical results with BIM platform. To solve these problems, this paper presents a TIM (Tunnel Information Modeling)-based on digital solution, which is more specific to underground engineering. Firstly, a normalized numerical pit model is built. TIM models, stratum data and construction data, all these required by numerical model are integrated in iS3 platform. Then a program is developed to obtain the data that has been supplemented or modified from the databases and automatically draw the profiles, then generate the input files to automatic calculation. The integrated TIM/FEM software based on iS3 platform is developed to import the result files to finish the post-processing and schemes assessment and optimization. This method is successfully applied in the pit project of Haikou Wenmingdong Tunnel, shortens the modeling time, and improves the modeling quality and the integration level of TIM/FEM.
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Ji, Xinnan. "Overseas Warehouse Location of Cross-Border E-Commerce Based on Particle Swarm Optimization." Journal of Control Science and Engineering 2022 (July 4, 2022): 1–6. http://dx.doi.org/10.1155/2022/9734633.
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In order to solve the problem of cross-border e-commerce warehouses as transit stations and direct selling platforms, the location of a cross-border e-commerce overseas warehouse is deeply studied on the basis of particle swarm optimization. Firstly, it studies the principle of algorithm optimization and algorithm method of particle swarm optimization. Among them, the self-built overseas warehouse mode has high requirements on the construction threshold, which is suitable for large cross-border e-commerce enterprises. The overseas warehouse model is built by a professional third party, which is economical and flexible, so it is suitable for mass cross-border e-commerce enterprises. Another overseas warehouse model is to build a cross-border logistics one-stop service platform with overseas warehouse as the core for all kinds of cross-border e-commerce enterprises, which is the development direction of overseas warehouse in the future. However, due to the immature construction conditions and too strong resource integration, this model is still in the stage of research, exploration, and attempt. However, choosing the location of an overseas warehouse and how to use the particle swarm optimization algorithm in the overseas warehouse development experiment remain problems to be solved. After experiments and research, the particle swarm optimization algorithm is used to solve the problem in the context of cross-border e-commerce, which verifies the feasibility of the model, so as to give a specific scheme for the location of overseas hub warehouses and overseas warehouses.
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Mazzola, Luca, Patrick Kapahnke, and Matthias Klusch. "Semantic composition of optimal process service plans in manufacturing with ODERU." International Journal of Web Information Systems 14, no. 4 (November 5, 2018): 495–523. http://dx.doi.org/10.1108/ijwis-05-2018-0038.
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Purpose The need to flexibly react to changing demands and to cost-efficiently manage customized production even for lot size of one requires a dynamic and holistic integration of service-based processes within and across enterprises of the value chain. In this context, this paper aims at presenting ODERU, the authors’ novel pragmatic approach for automatically implementing service-based manufacturing processes at design and runtime within a cloud-based elastic manufacturing platform. Design/methodology/approach ODERU relies on a set of semantic annotations of business process models encoded into an extension of the business process model and notation (BPMN) 2.0 standard. Leveraging the paradigms of semantic SOA and XaaS, ODERU integrates pattern-based semantic composition of process service plans with QoS-based optimization based on multi-objective constraint optimization problem solving. Findings The successful validation of ODERU in two industrial use cases for maintenance process optimization and automotive production in the European project CREMA revealed its usefulness for service-based process optimization in general and for significant cost reductions in maintenance in particular. Originality/value ODERU provides a pragmatic and flexible solution to optimal service composition with the following three main advantages: full integration of semantic service selection and composition with QoS-based optimization; executability of the generated optimal process service plans by an execution environment as they include service assignments, data flow (variable bindings) and optimal variable assignments; and support of fast replanning in a single model and plan.
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Dasović, Borna, Mario Galić, and Uroš Klanšek. "A Survey on Integration of Optimization and Project Management Tools for Sustainable Construction Scheduling." Sustainability 12, no. 8 (April 22, 2020): 3405. http://dx.doi.org/10.3390/su12083405.
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Construction scheduling, in practice, commonly relies on the usage of commercial project management tools (PMT) without specific optimization features. To obtain optimal schedules, planners often need to develop separate optimization models with special tools, which, however, demand further processing and editing of optimization results by PMT into forms expected for project management. In this regard, separation of optimization and PMT also requires considerable additional work for complete and harmonized updating of schedules during construction execution. Mentioned drawbacks and lack of available time may take to deficient construction scheduling during the implementation phase resulting in poor or even insufficient realization of project goals. Therefore, this paper presents an achievements survey on the integration of optimization and PMT that allow sustainable construction scheduling, particularly in terms of continuous optimal time and resource allocation throughout the project life cycle. Such work has not yet been comprehensively done up to now and the present contribution intends to fill a literature gap in the aforesaid area. Following a brief introduction, the optimization platform for construction scheduling is given in the article. Focusing on construction scheduling, an in-depth achievements survey on the integration of heuristics methods, mathematical programming and special solving methods with conventional PMT as well as optimization-based building information modeling (BIM) tools is then performed and findings are reported. The paper ends with conclusions and recommendations for further research.
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Ren, Shaomin. "Optimization of Enterprise Financial Management and Decision-Making Systems Based on Big Data." Journal of Mathematics 2022 (January 20, 2022): 1–11. http://dx.doi.org/10.1155/2022/1708506.
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Based on information asymmetry theory, principal-agent theory, and risk management theory, this paper analyzes the mechanism of the impact of big data on financial decision-making, analyzing four dimensions: how big data enhances the information base for forecasting, how big data improves the relevance of decision-making, how big data builds new competitive advantages, and how big data promotes dynamic decision-making. Secondly, through the analysis of specific implementation cases of enterprise big data in financial decision-making, we focus on the real problems faced in management and the effect of solving problems through big data platform. The enterprise realizing the integration of business and finance not only can better lead business expansion, but also can improve the management level within the enterprise, which is conducive to the improvement of core competitiveness. The integration of industry and finance is essentially achieved through the application of various financial management modules to the business operations of enterprises, including budget management, capital management, fixed asset management, and financial accounting. If we want to implement the whole process of financial integration, it is impossible to achieve this manually, and we must first build a powerful information system as a guarantee. Under the guidance of theories of information asymmetry, stakeholders, and management information systems, Internet finance enterprises should build their own integrated business finance system based on the demand for business finance integration in the Internet finance industry, to enhance the matching of business finance data of Internet finance enterprises, improve the efficiency of enterprise management, and realize business finance integration. Finally, through the research of this paper, we hope to provide reference for other similar enterprises to apply big data for financial decision-making. Through the application of big data, higher economic benefits are achieved in procurement management, production control, capital budget, and investment decision compared with the previous ones. It is concluded that in the era of big data, massive data can be used to serve enterprise decision-making in depth, which can break the business and financial barriers, improve the efficiency and quality of decision-making, optimize the organizational structure and personnel, and enhance the prediction and early warning capability. The application of big data tools has become the key to assisting financial decision-making and enhancing enterprise value.
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Gheorghe, Simona, Mirona Popescu, and Anca Alexandra Purcărea. "A model of business intelligence and online marketing for commercial." Balkan Region Conference on Engineering and Business Education 2, no. 1 (December 20, 2017): 267–74. http://dx.doi.org/10.1515/cplbu-2017-0035.
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Abstract Technology is expanding at a speed previously unsurpassed; therefore an emphasis is made on integration, optimization and increasing efficiency on different fields. Business intelligence is a new concept which became popular alongside online marketing, as both use external and internal data in order to make better decisions, process improvement and optimizations. The aim of this paper is to propose a solution for business intelligence in the commercial field based on a model of internal sales platform. Gathering data for all the structures integrated in this platform improves the optimization of products and services offered by the companies and also streamline the process of sales. This business solution underpins another solution enabling market research on consumer preferences in order to lead to the development of new products / services according to the real needs of the market at the present time.
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Li, Kaiwei, Wenchao Zhou, and Shuwen Zeng. "Optical Micro/Nanofiber-Based Localized Surface Plasmon Resonance Biosensors: Fiber Diameter Dependence." Sensors 18, no. 10 (September 30, 2018): 3295. http://dx.doi.org/10.3390/s18103295.
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Integration of functional nanomaterials with optical micro/nanofibers (OMNFs) can bring about novel optical properties and provide a versatile platform for various sensing applications. OMNFs as the key element, however, have seldom been investigated. Here, we focus on the optimization of fiber diameter by taking micro/nanofiber-based localized surface plasmon resonance sensors as a model. We systematically study the dependence of fiber diameter on the sensing performance of such sensors. Both theoretical and experimental results show that, by reducing fiber diameter, the refractive index sensitivity can be significantly increased. Then, we demonstrate the biosensing capability of the optimized sensor for streptavidin detection and achieve a detection limit of 1 pg/mL. Furthermore, the proposed theoretical model is applicable to other nanomaterials and OMNF-based sensing schemes for performance optimization.
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Sun, Fei. "Application of BIM in the Structural Design of Architectural Engineering." Journal of World Architecture 6, no. 3 (May 17, 2022): 13–18. http://dx.doi.org/10.26689/jwa.v6i3.3890.
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Structural design is an important component of architectural engineering. BIM is integrated into structural design to form a complete, linked, and information-based data platform. Therefore, in line with the features of BIM, such as interaction and coordination, information integration, as well as data simulation, this study analyzes the advantages of BIM in architectural structural design, proposes several optimization measures using BIM for architectural structural design, and promotes the rationality of architectural structural design.
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Zhao, Daozhi, Tianyi Wang, and Hongshuai Han. "Approach towards Sustainable and Smart Coal Port Development: The Case of Huanghua Port in China." Sustainability 12, no. 9 (May 11, 2020): 3924. http://dx.doi.org/10.3390/su12093924.
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This paper focuses on measures towards sustainable development of coal ports based on the economic, environmental, and social dimensions of the triple bottom line, and examines the integration and optimization roles of smart technologies on coal port sustainability in the era of the Internet of Things. By investigating the representative case of Huanghua Port, one of the largest coal transportation ports in China, this paper enables a better understanding of the coal port’s sustainable practices driven by smart technologies. This study provides measures on the intelligent renovation, coal dust pollution treatment, air pollution treatment and sewage treatment, the customer and employee satisfaction improvement, and community involvement as well as social reputation enhancement. The research investigates the effectiveness of measures on the coal port’s sustainability by examining changes in key performance indicators and further examines the integration and optimization roles of smart technologies. The findings show that the approach taken by the port can effectively promote the coal port’s sustainability. The intelligent operation control system linking the separate nodes in operation, the ecological intelligent control system integrating environmental protection functions, and the intelligent service platform linking supply chain members are interrelated and interact to achieve the continuous optimization of decisions towards coal port sustainability. This study offers managerial insights for the port operators and policymakers towards the sustainable and smart development of ports.
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Jin, Song, and Tong Na Liu. "Post-Silicon Energy Optimization on Voltage-Frequency Island Based 3-D Multi-Core SoCs." Applied Mechanics and Materials 543-547 (March 2014): 486–92. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.486.
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Technology scaling dramatically increases transistor integration capacity, enabling more and more cores to be integrated into a single chip. Parameter variability, however, leads to performance asymmetry among the cores, degrading the energy efficiency of the system. Recently, voltage/frequency island (VFI) based designs are widely exploited on a multi-core platform for system energy optimization under variations. In this paper, a post-silicon energy optimization scheme is proposed targeting VFI-based 3-D multi-core SoCs. Design constraints on VFI, difference of communication energies between horizontal and vertical directions and unique thermal feature of the 3-D chip are totally considered. An energy efficient task mapping and scheduling algorithm is proposed, which seamlessly combines with dynamic voltage/frequency scaling to minimize the system energy under deadline and thermal constraints. Experimental results demonstrate that the effectiveness of the proposed scheme.
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Zeng, Yihua, and Mingwan Luo. "Data Sharing and Online Political Education Based on Edge Computing Network Optimization." Mobile Information Systems 2022 (August 21, 2022): 1–10. http://dx.doi.org/10.1155/2022/3001697.
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The rapid development of Internet of Things services and the rapid growth of new broadband services have promoted the ever-increasing computing demands of mobile devices. As an emerging mobile computing technology, mobile edge computing is an important key technology to improve computing services for mobile devices. Mobile edge computing technology provides an important way for users to provide computing services with low latency and high computing performance. At the same time, it also provides technical means to develop online education. Online education called E-learning is an education model that uses the Internet as a medium. Through the Internet, students can conduct educational activities thousands of miles away from the teacher. In addition, students can learn at any time by referring to and downloading network code resources, thereby breaking the space and time constraints. The development of informatization of university education is an important part of the development of informatization, and it is the adaptation and combination of the application of information technology in the education field. At present, the informatization of universities at home and abroad has ushered in the era of digital campus construction, and most of its focus is on the reorganization of functional departments and the integration of independent systems. By analyzing the needs of data sharing and exchange, this article plans to use existing mature technologies, such as data warehouse, data synchronization update, and data security, based on DataX to design the data sharing and exchange plan of the public data platform, including data standards, coding standards are designed to achieve uniform rules, formats, and codes to build an online political education platform.
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Penciuc, Diana, Julien Le Duigou, Joanna Daaboul, Flore Vallet, and Benoît Eynard. "Product life cycle management approach for integration of engineering design and life cycle engineering." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 4 (October 4, 2016): 379–89. http://dx.doi.org/10.1017/s0890060416000366.
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AbstractOptimized lightweight manufacturing of parts is crucial for automotive and aeronautical industries in order to stay competitive and to reduce costs and fuel consumption. Hence, aluminum becomes an unquestionable material choice regarding these challenges. Nevertheless, using only virgin aluminum is not satisfactory because its extraction requires high use of energy and effort, and its manufacturing has high environmental impact. For these reasons, the use of recycled aluminum alloys is recommended considering their properties meet the expected technical and environmental added values. This requires complete reengineering of the classical life cycle of aluminum-based products and the collaboration practices in the global supply chain. The results from several interdependent disciplines all need to be taken into account for a global product/process optimization. Toward achieving this, a method for sustainability assessment integration into product life cycle management and a platform for life cycle simulation integrating environmental concerns are proposed in this paper. The platform may be used as a decision support system in the early product design phase by simulating the life cycle of a product (from material selection to production and recycling phases) and calculating its impact on the environment.
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Costa, Felipe S., Silvia M. Nassar, Sergio Gusmeroli, Ralph Schultz, André G. S. Conceição, Miguel Xavier, Fabiano Hessel, and Mario A. R. Dantas. "FASTEN IIoT: An Open Real-Time Platform for Vertical, Horizontal and End-To-End Integration." Sensors 20, no. 19 (September 25, 2020): 5499. http://dx.doi.org/10.3390/s20195499.
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The Industry 4.0 paradigm, since its initial conception in Germany in 2011, has extended its scope and adoption to a broader set of technologies. It is being considered as the most vital mechanism in the production systems lifecycle. It is the key element in the digital transformation of manufacturing industry all over the world. This scenario imposes a set of major unprecedented challenges which require to be overcome. In order to enable integration in horizontal, vertical, and end-to-end formats, one of the most critical aspects of this digital transformation process consists of effectively coupling digital integrated service/products business models with additive manufacturing processes. This integration is based upon advanced AI-based tools for decentralized decision-making and for secure and trusted data sharing in the global value. This paper presents the FASTEN IIoT Platform, which targets to provide a flexible, configurable, and open solution. The platform acts as an interface between the shop floor and the industry 4.0 advanced applications and solutions. Examples of these efforts comprise management, forecasting, optimization, and simulation, by harmonizing the heterogeneous characteristics of the data sources involved while meeting real-time requirements.
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Hu, Xiao, Yong Xiang Zhang, Yi Fan Wang, and Shuo Jia Peng. "Simulation and Optimization of Compound A2/O Treatment Process Based on Model ASM3." Advanced Materials Research 726-731 (August 2013): 2389–93. http://dx.doi.org/10.4028/www.scientific.net/amr.726-731.2389.
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Introduction is given to the content of activated sludge model No.3 (ASM3). The simulation program which based on the integration of ASM3 and Anaerobic Digestion Model was used to simulate A2/O with AquaMats Process. The predicted results of effluent COD, NH3-N and NO3-N accorded with the actuality. The removal efficiency of TP was quite low when sludge return rate was 100%. Based on this condition, the improved scheme which adjusts sludge reflux ratio to 60% was put forward and simulated. Process was optimized depending on the simulation results and the removal efficiencies of COD, NH3-N and TP reached to 83.1%, 98.75 and 24.01%. It is verified that ASM3 can be used as the platform of activated sludge process design.
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Han, Yongqiang, Chenchen Wei, Rong Li, Jingzhe Wang, and Huan Yu. "A Novel Cooperative Localization Method Based on IMU and UWB." Sensors 20, no. 2 (January 14, 2020): 467. http://dx.doi.org/10.3390/s20020467.
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In this paper, a range-based cooperative localization method is proposed for multiple platforms of various structures. The localization system of an independent platform might degrade or fail due to various reasons such as GPS signal-loss, inertial measurement unit (IMU) accumulative errors, or emergency reboot. It is a promising approach to solve this problem by using information from neighboring platforms, thus forming a cooperative localization network that can improve the navigational robustness of each platform. Typical ranging-based ultra-wideband (UWB) cooperative localization systems require at least three auxiliary nodes to estimate the pose of the target node, which is often hard to meet especially in outdoor environment. In this work, we propose a novel IMU/UWB-based cooperative localization solution, which requires a minimum number of auxiliary nodes that is down to 1. An Adaptive Ant Colony Optimization Particle Filter (AACOPF) algorithm is customized to integrate the dead reckoning (DR) system and auxiliary nodes information with no prior information required, resulting in accurate pose estimation, while to our knowledge the azimuth have not been estimated in cooperative localization for the insufficient observation of the system. We have given the condition when azimuth and localization are solvable by analysis and by experiment. The feasibility of the proposed approach is evaluated through two filed experiments: car-to-trolley and car-to-pedestrian cooperative localization. The comparison results also demonstrate that ACOPF-based integration is better than other filter-based methods such as Extended Kalman Filter (EKF) and traditional Particle Filter (PF).
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Wu, Jianxu, Yanan Yao, Qiang Ruan, and Xiaoping Liu. "Design and optimization of a dual quadruped vehicle based on whole close-chain mechanism." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 231, no. 19 (May 12, 2016): 3601–13. http://dx.doi.org/10.1177/0954406216650473.
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A new “whole close-chain mechanism” concept is proposed for the design of the modular legged unit of walking vehicles. Based on this concept, the walking vehicle called dual quadruped vehicle is developed and constructed. The vehicle designed as an omnidirectional carrying platform contains two identical single-driven quadruped mechanisms. The details of the design procedure are given, including the single close-chain legged mechanism, the modular legged unit, and the dual quadruped vehicle. The construction description of the single leg is presented. With the optimum design of the whole close-chain legged mechanism, the two foot-point characteristic trajectories are investigated. Based on the strategies of the legged module integration, the best phase configuration in pitching movement and the steering analysis are discussed and illustrated. Dynamic simulations and experiments are performed to verify the validity of the theoretical analysis of the new concept and the maneuverability of the vehicle prototype.
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Zhou, Xiangyang, Hao Gao, Yuan Jia, Lingling Li, Libo Zhao, and Ruifang Yu. "Parameter Optimization on FNN/PID Compound Controller for a Three-Axis Inertially Stabilized Platform for Aerial Remote Sensing Applications." Journal of Sensors 2019 (March 26, 2019): 1–15. http://dx.doi.org/10.1155/2019/5067081.
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This paper presents a composite parameter optimization method based on the chaos particle swarm optimization and the back propagation algorithms for a fuzzy neural network/proportion integration differentiation compound controller, which is applied for an aerial inertially stabilized platform for aerial remote sensing applications. Firstly, a compound controller combining both the adaptive fuzzy neural network and traditional PID control methods is developed to deal with the contradiction between the control precision and robustness due to disturbances. Then, on the basis of both the chaos particle swarm optimization and the back propagation compound algorithms, the parameters of the fuzzy neural network/PID compound controller are optimized offline and fine-tuned online, respectively. In this way, the compound controller can achieve good adaptive convergence so as to get high stabilization precision under the multisource dynamic disturbance environment. To verify the method, the simulations are carried out. The results show that the composite parameter optimization method can effectively enhance the convergence of the controller, by which the stabilization precision and disturbance rejection capability of the proposed fuzzy neural network/PID compound controller are improved obviously.
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Andres, Beatriz, Raquel Sanchis, and Raul Poler. "A Cloud Platform to support Collaboration in Supply Networks." International Journal of Production Management and Engineering 4, no. 1 (January 15, 2016): 5. http://dx.doi.org/10.4995/ijpme.2016.4418.
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<div><p class="TtuloAbstract">Collaboration is a trend in supply networks management, based on the jointly planning, coordination and integration of processes, participating all network entities. Due to the current characteristics of uncertainty in the markets and economic crisis, there is a need to encourage collaboration tools to reduce costs and increase trust and accountability to market requirements. This study presents an overview of the research carried out in the H2020 European Project: Cloud Collaborative Manufacturing Networks (C2NET), which is directed towards the development a cloud platform that consist of, optimization tools, collaboration tools to support and agile management of the network. The collaborative cloud platform allows to collect real time information coming from real-world resources and considering all the actors involved in the process. The collaborative cloud provides real time data gathered from the entire network partners in order to improve their decision-making processes.</p></div>
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Boehnke, Karsten, Philip W. Iversen, Dirk Schumacher, María José Lallena, Rubén Haro, Joaquín Amat, Johannes Haybaeck, et al. "Assay Establishment and Validation of a High-Throughput Screening Platform for Three-Dimensional Patient-Derived Colon Cancer Organoid Cultures." Journal of Biomolecular Screening 21, no. 9 (July 10, 2016): 931–41. http://dx.doi.org/10.1177/1087057116650965.
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The application of patient-derived three-dimensional culture systems as disease-specific drug sensitivity models has enormous potential to connect compound screening and clinical trials. However, the implementation of complex cell-based assay systems in drug discovery requires reliable and robust screening platforms. Here we describe the establishment of an automated platform in 384-well format for three-dimensional organoid cultures derived from colon cancer patients. Single cells were embedded in an extracellular matrix by an automated workflow and subsequently self-organized into organoid structures within 4 days of culture before being exposed to compound treatment. We performed validation of assay robustness and reproducibility via plate uniformity and replicate-experiment studies. After assay optimization, the patient-derived organoid platform passed all relevant validation criteria. In addition, we introduced a streamlined plate uniformity study to evaluate patient-derived colon cancer samples from different donors. Our results demonstrate the feasibility of using patient-derived tumor samples for high-throughput assays and their integration as disease-specific models in drug discovery.
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Gu, Ben Jiahe, Dennis Jgamadze, Guoming (Tony) Man, and Han-Chiao Isaac Chen. "4418 Optimization and Validation of a Silk Scaffold-Based Neural Tissue Construct." Journal of Clinical and Translational Science 4, s1 (June 2020): 13–14. http://dx.doi.org/10.1017/cts.2020.85.
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OBJECTIVES/GOALS: Our goal is to develop a silk fibroin scaffold-based neural tissue construct and characterize it in a rat model of cortical injury. We aim to optimize the construct for transplantation, test pharmacologic interventions that may enhance its survival, and evaluate its integration with the host brain. METHODS/STUDY POPULATION: To optimize cell density and health, silk fibroin scaffolds varying in porosity and stiffness were seeded with E18 GFP+ rat cortical neurons and imaged at DIV 5. Different seeding methods and loads were similarly tested. Constructs, loaded with an inhibitor of apoptosis (ROCK inhibitor Y-27632) or necroptosis (necrostatin-1) in a fibrin hydrogel, were transplanted into aspiration lesions created in the primary motor cortex of Sprague-Dawley rats, and graft survival was compared to negative control at 2 weeks. Lastly, constructs were transplanted and evaluated via immunohistochemistry at 1, 2, and 4-month time points for survival, differentiation, inflammation, and anatomic integration. RESULTS/ANTICIPATED RESULTS: Scaffolds with smaller pore sizes retained more cells after seeding. Softer scaffolds, which enhance hemostasis at transplantation, did not compromise cell health on live/dead assay. We anticipate that seeding concentrated cell suspensions onto multiple surfaces of the construct will produce the most evenly seeded and cell-dense constructs. Based on a prior pilot study, we anticipate that necrostatin-1 will significantly improve intermediate-term construct survival. We have observed up to 15% cell survival at 1 month with retained neuronal identity and abundant axonal projections into the brain despite evidence of persistent inflammation; we anticipate similar outcomes at later time points. DISCUSSION/SIGNIFICANCE OF IMPACT: Our construct, due to its exceptional longevity in vitro, manipulability, and modularity, is an attractive platform for neural tissue engineering. In the present work, we optimize and validate this technology for transplantation with the goal of addressing the morbidity burden of cortical injury.
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Zhang, Fan, Wenyu Zhang, Xiwen Luo, Zhigang Zhang, Yueteng Lu, and Ben Wang. "Developing an IoT-Enabled Cloud Management Platform for Agricultural Machinery Equipped with Automatic Navigation Systems." Agriculture 12, no. 2 (February 21, 2022): 310. http://dx.doi.org/10.3390/agriculture12020310.
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Smart farming uses advanced tools and technologies such as intelligent agricultural machines, high-precision sensors, navigation systems, and sophisticated computer systems to increase the economic benefits of agriculture and reduce the associated human effort. With the increasing demands of individualized farming operations, the internet of things is a crucial technique for acquiring, monitoring, processing, and managing the agricultural resource data of precision agriculture and ecological monitoring domains. Here, an internet of things-based system scheme integrating the most recent technologies for designing a management platform for agricultural machines equipped with automatic navigation systems is proposed. Various agricultural machinery cyber-models and their corresponding sensor nodes were constructed in a pre-production phase. Three key enabling technologies—multi-optimization of agricultural machinery scheduling, development of physical architecture and software, and integration of the controller-area-network with a mobile network—were addressed to support the system scheme. A demonstrative prototype system was developed and a case study was used to validate the feasibility and effectiveness of the proposed approach.
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AlJandal, Eng Meshari J., Dr Khaled S. AlRasheed, and Eng Muhammad R. Jamal. "Cloud-based IoT Platform DC-DC Power Converter (Non-Ideal)." International Journal of Recent Technology and Engineering (IJRTE) 10, no. 4 (November 30, 2021): 35–45. http://dx.doi.org/10.35940/ijrte.d6532.1110421.
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This paper describes a modularized smart system architecture which is integrated with Internet of Thing (IoT) into the DC-DC converters to build a programmable technique to leverage machine learning algorithms to predict possible future faults to the system. In addition, it facilitates the performance optimization of the boost converter. This system can be established with low computing hardware to simulates the control behavior and data-driven method of IoT-based, due to the unreliability initiated from the integration of IoT technology and power electronic converters. In response to these challenges, the current paper addresses a scientific approach using small signal analysis of dc-dc boost converter (non-Ideal) with closed loop control to analyze the small deviations or abnormalities in transient region and the steady-state operating point. Complete state-space analysis is done to obtain output voltage using pulse width modulation techniques for boosting the voltage of the input voltage to a higher level by momentarily storing and release the energy in the conductor. The model of the converter is designed and simulated using voltage mode controlling method. Digital implementation based on Arduino platform was implemented to compensate perturbations of sudden load variation either on voltage or current loads. A Simulation study is conducted to validate the result of the step-up dc-dc converter using MATLAB.
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Aliane, Nourdine, Carlos Quiterio Gomez Muñoz, and Javier Sánchez-Soriano. "Web and MATLAB-Based Platform for UAV Flight Management and Multispectral Image Processing." Sensors 22, no. 11 (June 2, 2022): 4243. http://dx.doi.org/10.3390/s22114243.
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The deployment of any UAV application in precision agriculture involves the development of several tasks, such as path planning and route optimization, images acquisition, handling emergencies, and mission validation, to cite a few. UAVs applications are also subject to common constraints, such as weather conditions, zonal restrictions, and so forth. The development of such applications requires the advanced software integration of different utilities, and this situation may frighten and dissuade undertaking projects in the field of precision agriculture. This paper proposes the development of a Web and MATLAB-based application that integrates several services in the same environment. The first group of services deals with UAV mission creation and management. It provides several pieces of flight conditions information, such as weather conditions, the KP index, air navigation maps, or aeronautical information services including notices to Airmen (NOTAM). The second group deals with route planning and converts selected field areas on the map to an UAV optimized route, handling sub-routes for long journeys. The third group deals with multispectral image processing and vegetation indexes calculation and visualizations. From a software development point of view, the app integrates several monolithic and independent programs around the MATLAB Runtime package with an automated and transparent data flow. Its main feature consists in designing a plethora of executable MATLAB programs, especially for the route planning and optimization of UAVs, images processing and vegetation indexes calculations, and running them remotely.
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Li, Lian, and Zhi Xin Huang. "Research on the Smart Grid Dispatching System Based on Cloud Computing." Applied Mechanics and Materials 385-386 (August 2013): 1730–33. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1730.
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Dispatching being the core of the power operation and control, intelligent dispatching is the key point of the construction of unified and strong smart grid. During the construction of smart grid dispatching technical support system, many key points and difficulties must be addressed including massive data storage and processing, huge computational applications of security and stability assessment, unified management and flexible expansion of the system, flexible deployment and dispatching operations, integration of calculation and analysis capabilities. Based on the relevant characteristics of cloud computation, there latest technologies using cloud computation and the optimization of platform in constructing smart grid dispatching technical support system were discussed.