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Study on Health Monitoring Systems Based on Correction Mode

Transactions of Nanjing University of Aeronautics and Astronautics 2021年第2期38卷 325-332页

作者： ZHU Tianyang ZHANG Yajun ZHOU Junliang ZHOU Aotu College of Mechanical and Electrical Engineering Beijing University of Chemical TechnologyBeijing 100029P.R.China School of Performance and Cultural Industries University of LeedsLeeds LS29JTUnited Kingdom

Current health monitoring systems often do not concern about the needs of the elderly,leading to inaccurate health status monitoring and delayed treatment for emergency health ***,they do not consider the variable factors affecting each patient,resulting in discrepancies between the measured values and real health *** solve the problems,we propose a new health monitoring system with physiological parameter measurement,correction,and *** study collects clinical samples of the elderly to formulate regression equations and statistical models for analyzing the relationship between gender,age,measurement time,and physical *** multiple adjustments to measurements of physical signs,the correction algorithm compares the data with a standard *** process significantly reduces the risk of misjudgment while matching users’health status more *** application case of this paper proves the validity of the method for measuring and correcting heart rate results in the elderly and presents a specific correction ***,the correction algorithm provides a scientific basis for eliminating or modifying other influencing factors in future health monitoring studies.

关键词： health monitoring correction mode algorithm design heart rate

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An algorithm for design of deadbeat controllers of spatially invariant systems 19

An algorithm for design of deadbeat controllers of spatially...

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19th International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Augusta, Petr Galkowski, Krzysztof Acad Sci Czech Republ Inst Informat Theory & Automat CR-18208 Prague Czech Republic Univ Zielona Gora Inst Control & Computat Engn Zielona Gora Poland

ISBN: (纸本)9781479950812

In the paper we deal with control of spatially invariant systems described by parabolic partial differential equations with one temporal and one spatial variables. We propose an algorithm for design of deadbeat controllers. The algorithm is based on polynomial methods. It consists in solving a linear equation with bi-variate polynomials. Numerical example and simulations are included.

关键词： control system synthesis partial differential equations polynomials bivariate polynomial deadbeat controller design linear equation parabolic partial differential equation polynomial methods spatial variable spatially invariant system temporal variable algorithm design and analysis Arrays Heating Mathematical model Polynomials Transfer functions Polynomial Linear equation algorithm design and analysis time variable Differential equations control system synthesis TRANSFER FUNCTIONS dead-beat Partial differential equations Mathematical Model algorithm design

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algorithm for design of Compliant Mechanisms for Torsional Applications

Algorithm for Design of Compliant Mechanisms for Torsional A...

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IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

作者： Cheng, Zhuoqi Foong, Shaohui Sun, Defeng Tan, U-Xuan Singapore Univ Technol & Design SUTDMIT Int Design Ctr Singapore Singapore Singapore Univ Technol & Design Pillar Engn Prod Dev Singapore Singapore Natl Univ Singapore Dept Math Fac Sci Singapore Singapore

ISBN: (纸本)9781479957361

Compliant mechanisms have been widely used in various mechatronics and robotics applications as they offer several significant advantages like repeatability and non-existence of backlash. The designs of these compliant mechanisms are often based on experience and intuition, and can be a frustrating experience during the design phase. Hence, this paper proposes an algorithm that aids users in designing compliant mechanisms for torsional applications in a systematic manner. With the proposed algorithm, users can input the desired torque-angular displacement stiffness property into the proposed algorithm, and the algorithm will output an appropriate compliant mechanism design accordingly. In this paper, two scenarios are explored, namely: 1) robotic arm with minimal impedance due to its own mass so as to reduce the required motor size, and 2) desired resonant frequency for better control or energy harvesting purposes. These two scenarios are used as motivation to input the required information to the algorithm, which generates the appropriate solution of compliant mechanism designs to address the need of the scenarios. Prototypes are developed for the above mentioned scenarios, and experiments are conducted to demonstrate the performance of the proposed algorithm.

关键词： algorithm design and analysis Energy harvesting Manufacturing processes Optimization Robots Shape Torque Manufacturing process algorithm design and analysis energy harvesting Robot Torque algorithms algorithm design

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Towards explicit representation of an artificial neural network model: Comparison of two artificial neural network rule extraction approaches

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Petroleum 2020年第4期6卷 329-339页

作者： Veronica K.H.Chan Christine W.Chan Energy Informatics Laboratory Faculty of Engineering and Applied ScienceUniversity of ReginaReginaSK S4S 0A2Canada

In the quest for interpretable models,two versions of a neural network rule extraction algorithm were proposed and *** two algorithms are called the Piece-Wise Linear Artificial Neural Network(PWL-ANN)and enhanced Piece-Wise Linear Artificial Neural Network(enhanced PWL-ANN)*** PWL-ANN algorithm is a decomposition artificial neural network(ANN)rule extraction algorithm,and the enhanced PWL-ANN algorithm improves upon the PWL-ANN algorithm and extracts multiple linear regression equations from a trained ANN model by approximating the hidden sigmoid activation functions using N-piece linear *** doing so,the algorithm provides interpretable models from the originally trained opaque ANN models.A detailed application case study illustrates how the generated enhanced-PWL-ANN models can provide understandable IF-THEN rules about a problem *** of the results generated by the two versions of the PWL-ANN algorithm showed that in comparison to the PWL-ANN models,the enhanced-PWL-ANN models support improved fidelities to the originally trained ANN *** results also showed that more concise rule sets could be generated using the enhanced-PWL-ANN *** a more simplified set of rules is desired,the enhanced-PWL-ANN algorithm can be combined with the decision tree *** application of the algorithms to domains related to petroleum engineering can help enhance understanding of the problems.

关键词： Artificial neural networks Rule extraction Regression problem algorithm design

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Secure encryption algorithms for wireless sensor networks based on node trust value

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INTERNATIONAL JOURNAL OF INTERNET PROTOCOL TECHNOLOGY 2020年第3期13卷 117-123页

作者： Li, Li Beijing Polytech Commun Dept 9 Liangshuiheyijie St Beijing Peoples R China

The data transmission in the wireless sensor network is affected by the forwarding randomness of the relay node, resulting in poor security encryption performance. In order to improve the security encryption capability of wireless sensor network, a wireless sensor network security encryption algorithm based on node trust value is proposed. The linear coding design of sensor network transmission data is carried out according to the trust degree and the composite chaotic model is used for recursive analysis of vector quantisation in wireless sensor network encryption process and then the linear block code design of encryption key and decryption key is realised. The regression analysis results of node trust value are used to realise wireless sensor network security encryption. Simulation results show that the security of wireless sensor network encryption used proposed method is better, the distortion of encrypted transmission is lower and the performance is better.

关键词： node trust value wireless sensor network security encryption algorithm design

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design and Analysis of Networks under Strategic Behavior 21

Design and Analysis of Networks under Strategic Behavior

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Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems

作者： Sixie Yu Washington University in St. Louis St. Louis MO USA

ISBN: (纸本)9781450383073

Networks are enablers, allowing the diffusion of valuable information. But just as a network is a conduit for valuable information, so it is for misinformation. One major challenge in a networked environment is limiting the spread of misinformation. Consider a large online social network, such as Twitter. Unethical users spread anti-social posts, which negatively affect other users and damage community dynamics[6], fraudsters send spam and phishing emails that threaten people's financial security[7], accounts occupied by malicious parties spread toxic information (e.g., hate speech, fake news), stirring up controversy and manipulating political views among social network users[1], fake reviews posted by bots mislead consumers' decision making[15], etc. An intuitive idea to limit the spread of misinformation is removing malicious nodes from networks, for example, terminate accounts on Twitter that spread spam. Importantly, a principled method to decide which nodes to remove from a network has wide applications; in the case of infectious disease, the inoculation of a group of people is essentially "removing" them from the contagion network[2,5,8,12,16-19]. A critical observation is that the loss associated with a decision whether to remove a node depends both on the node's likelihood of being malicious and its local network structure. Consequently, the typical approach in which we simply classify nodes as malicious or benign using a threshold on the associated maliciousness probability[10] is inadequate, as it fails to account for network consequences of such decisions. Rather, the problem is fundamentally about choosing which subset of nodes to remove, as decisions about removing individual nodes are no longer independent. We developed a model that provides decisions about which nodes to remove[20]. The model considers both the likelihood of nodes being malicious and their local network structures. Several algorithmic insights are derived from studying the model, inc

关键词： games on networks algorithm design machine learning game theory relational learning network design optimization

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A heuristic information cluster search approach for precise functional brain mapping

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HUMAN BRAIN MAPPING 2020年第9期41卷 2263-2280页

作者： Asadi, Nima Wang, Yin Olson, Ingrid Obradovic, Zoran Temple Univ Coll Sci & Technol Dept Comp & Informat Sci Philadelphia PA 19122 USA Temple Univ Coll Liberal Arts Dept Psychol Philadelphia PA 19122 USA Temple Univ Coll Liberal Arts Decis Neurosci Philadelphia PA 19122 USA

Detection of the relevant brain regions for characterizing the distinction between cognitive conditions is one of the most sought after objectives in neuroimaging research. A popular approach for achieving this goal is the multivariate pattern analysis which is currently conducted through a number of approaches such as the popular searchlight procedure. This is due to several advantages such as being automatic and flexible with regards to size of the search region. However, these approaches suffer from a number of limitations which can lead to misidentification of truly informative regions which in turn results in imprecise information maps. These limitations mainly stem from several factors such as the fact that the information value of the search spheres are assigned to the voxel at the center of them (in case of searchlight), the requirement for manual tuning of parameters such as searchlight radius and shape, and high complexity and low interpretability in commonly used machine learning-based approaches. Other drawbacks include overlooking the structure and interactions within the regions, and the disadvantages of using certain regularization techniques in analysis of datasets with characteristics of common functional magnetic resonance imaging data. In this article, we propose a fully data-driven maximum relevance minimum redundancy search algorithm for detecting precise information value of the clusters within brain regions while alleviating the above-mentioned limitations. Moreover, in order to make the proposed method faster, we propose an efficient algorithmic implementation. We evaluate and compare the proposed algorithm with the searchlight procedure as well as least absolute shrinkage and selection operator regularization-based mapping approach using both real and synthetic datasets. The analysis results of the proposed approach demonstrate higher information detection precision and map specificity compared to the benchmark approaches.

关键词： algorithm design data mining functional magnetic resonance imaging neuroimaging

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The Location-Routing Problem: A Review 20

The Location-Routing Problem: A Review

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20th COTA International Conference of Transportation Professionals (CICTP) - Advanced Transportation, Enhanced Connection

作者： Cao, Jinxin Wang, Xiangting Li, Bing Gao, Jiachen Inner Mongolia Univ Inst Transportat Engn Hohhot 010070 Peoples R China Inner Mongolia Univ Sch Math Hohhot 010021 Peoples R China

ISBN: (数字)9780784482933

ISBN: (纸本)9780784482933

The location-routing problem (LRP) plays a critical role in the logistics system optimization. This paper first summarizes the development process of LRP model, and then the research status of it. The applicability of LRP model solution algorithm of supply chain management is given. This study puts forward the main research direction of LRP and the research results of LRP algorithm. The solution algorithm of LRP has gradually changed from the early precise algorithm to the heuristic algorithm and hybrid algorithm. The algorithm has gradually produced the test example of extended LRP. According to the change of market environment and demand, the research direction of LRP in the future is proposed.

关键词： Logistics system optimization Location-routing problem algorithm design Review

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Machine Intelligence for Predicting New Start-ups Success: A Survey

Machine Intelligence for Predicting New Start-ups Success: A...

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Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence

作者： Ajai Mishra Dharm Singh Jat Durgesh Kumar Mishra Computer Science Namibia University of Science and Technology Windhoek Namibia Computer Science and Engineering Sri Aurobindo Institute of Technology Indore India

ISBN: (纸本)9781450387637

Machine learning techniques are used for discovering the hidden patterns from the application-centric data analysis. Using these techniques various applications can be developed which can be used for supporting different business sectors. These patterns will be used by business administrators and managers to develop sustainable, growing, and withstand the global business challenges. In this context, the employment of machine learning techniques in business data analysis can become a fruitful tool that can assist and help to new start-ups businesses and entrepreneurs, to sustain and grow with time. Therefore, in this paper, we are conducting a review on existing machine learning techniques that are recently contributed to understand the need of start-ups, trends of business and can provide recommendations to plan their future strategies to deal with the business problems. Secondly, based on the observations we have proposed our future road map to design and develop an intellectual framework to support Start-up India-based entrepreneurs

关键词： Machine learning algorithm design business data analytics handholding of startups recommendation system support system

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Collective multi agent deployment for wireless sensor network maintenance

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ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2021年 102卷 104265-104265页

作者： Yedidsion, Harel Hermelin, Danny Segal, Michael Univ Texas Austin Austin TX 78712 USA Ben Gurion Univ Negev Beer Sheva Israel

In this paper, we study the problem of wireless sensor network (WSN) maintenance using a team of physical autonomous mobile agents. The agents are deployed in the area of the WSN in such a way that would minimize the time it takes them to reach a failed sensor and repair it. The team must constantly optimize its collective deployment to account for occupied agents. The objective is to define the optimal deployment and task allocation strategy, that minimize the solution cost. The solution cost is a linear combination of the weighted sensors' downtime, the agents' traveling distance, and penalties incurred due to unrepaired sensors within a certain time limit. Our proposed solution algorithms are inspired by research in the field of computational geometry and the design of our algorithms is based on state of the art approximation algorithms for the classical problem of facility location. We empirically compare and analyze the performance of several proposed algorithms. The sensitivity of the algorithms' performance to the following parameters is analyzed: agents to sensors ratio, sensors' sparsity, frequency and distribution of failures, repair duration, repair capacity, and communication limitations. Our results demonstrate that: (i) cooperation enhances the team's performance by orders of magnitude, (ii) k-Median based deployment algorithm provides up to 30% improvement in downtime, (iii) k-Center based deployment incurs 10% fewest penalties, and (iv) k-Centroid based deployment is most efficient in terms of minimizing the overall costs, with up to 21% lower cost than the next best algorithm.

关键词： Multi agent coordination Wireless sensor networks Mobile agents algorithm design

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