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Predicting drug side-effects from open source health forums using supervised classifier approach 5

Predicting drug side-effects from open source health forums ...

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5th international conference on Communication and Electronics Systems, ICCES 2020

作者： Naga Swathi, D. Kumaran, U. Department of Computer Science and Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9781728153711

Adverse Drug Side-effects is an unexpected cause of drug reaction from patient to patient. However, Pharmaceutical companies manufacturing the drugs which are prescribed for the prevention and cure of the disease, sometimes leads to the ill effects and side-effects that leads to the death of consuming patients. Most of the side-effects are reported by pharmaceutical industries based on the Clinical trials out of which only a few of them are identified. the main aim of this paper is to analyze and predict the side-effects of the drugs which are massively available on public online health care forum by extracting various essential information such as side-effects, symptoms and medication of the consuming patients using UiPath tool from ***. Also, this research work uses Robotic Process automation (RPA) to extract the data and pre-process manually by dropping noisy, unwanted records and missing data. Feature sets are analyzedfor better predicting the Side-effects of the drugs. Machine Learning (ML) methods are used for performing a comparative analysis of Side-effects and identify which classifier gives better accuracy. © 2020 IEEE.

关键词： robotics

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Design and Research of Industrial Robot control System Based on Machine Vision

Design and Research of Industrial Robot Control System Based...

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international conference of Electronics, Communication and Aerospace Technology (ICECA)

作者： Zhang Yang He Xinjun Yang Yudong School of Electromechanical Engineering & Information Shanghai Urban Construction Vocational College Shanghai China SHANGHAI-FANUC ACADEMY SHANGHAI-FANUC Robotics CO. LTD. Shanghai China Shanghai Urban Construction Vocational College Shanghai China

ISBN: (纸本)9781665435253

People obtain 80% of external information through vision. Vision is a powerful and effective way for people to obtain information. therefore, it has been people's dream for many years to make industrial robots have vision. With the advent of computer vision, it has become possible for robots to have vision. Robot vision is to perform image processing from the obtained image information, and feedback information quickly, so that the computer gives control signals. Based on machine vision, this paper studies and analyzes the design of industrial robot control system

关键词： Computer vision Service robots Machine vision Robot control Aerospace electronics Manipulators History

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Virtual Multi-Interaction for Rehabilitation robotics 5

Virtual Multi-Interaction for Rehabilitation Robotics

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5th IEEE international conference on Advanced robotics and Mechatronics (ICARM)

作者： Li, Wenjie Rovetta, Alberto Ding, Xilun Chen, Lei Han, Yifei Beijing Microelect Technol Inst BJ-100076 Beijing Peoples R China Politecn Milan Milan Italy Beihang Univ Sch Mech Engn & Automat BJ-100086 Beijing Peoples R China Beijing Microelect Technol Inst BJ-100076 Beijing Peoples R China

ISBN: (纸本)9781728164793

this article is to develop an intelligent exoskeleton to support the wearable, interactive and customizable path on the rehabilitation needs of falling foot. In collaboration with engineers and doctors from Milan and Beijing, it is to realize an active device that performs function adapting perfectly to the anatomical characteristics of each subject, and it would supply greater possibilities and flexibility. Traditional devices are passive rigid orthoses (AFO) and active peroneal stimulation systems (FES). Although simple and cheap, AFO system can bring about phenomena of adaptation at the central level that gradually decrease muscle activity over time. More is the stiffness in the path. FES devices ensure a more natural movement of the foot but without control autonomy. Moreover, the efficiency is always limited with high costs. According analysis of the path, anatomy and biomechanics of the calf, considering combination of sensing and interaction technologies and devices, it focuses on using MEMS inertial sensors and force sensors to make a fusion and measure state of the calf's motion and attitude. It also uses 3D printing to construct lightweight and customable structures. the mobile device is used as local center to transfer data and feedback with Bluetooth and Internet, to give instruction and detect emotion with voice. Virtual Reality is used to build training scenes combined with rehabilitation plan, connections and feedbacks are also built between vision and motion states to form closed loop control. It expounds system construction, virtual scene construction, control method design, system tests, etc. according rehabilitation application, and preliminary application data indicates that the whole system works well with low cost and high efficiency.

关键词： Efficiency

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Fault Diagnosis and Prognosis using a Hybrid Approach combining Structural Analysis and Data-driven Techniques

Fault Diagnosis and Prognosis using a Hybrid Approach combin...

引用

conference on control and Fault-Tolerant Systems (SysTol)

作者： Xin Fang Vicenç Puig Shuang Zhang Institute of Robotics and Industrial Informatics (UPC-CSIC) 08028 Barcelona Spain

this paper presents a fault diagnosis and prognosis based on an hybrid approach that combines structural and data-driven techniques. the proposed method involves two phases. Firstly, the residuals structure is obtained from the structural model of the system using structural analysis without using mathematical models (only the component description of the system). Secondly, the analytical expressions of residuals are obtained from available historical data using a robust identification approach. the diagnosis part consists in checking the evolution of residuals during the process, any inconsistency of residuals can be considered as a fault, so that the thresholds for each residual are introduced. the residuals are obtained using the identified interval model that takes into account the uncertainty and noises affecting the system. Once the fault is detected, also it is possible to determine which fault occurred in the system using the FSM (Fault Signature Matrix) obtained from the structural analysis of the system and residual generation. the prognosis part is developed using the same steps, but instead of considering the actual situation, it evaluates the tendency of deviation respect the nominal operation condition to predict the future residual inconsistency, allowing estimating the RUL (Remaining Useful Life) of the system. the interval model is also introduced for the future prediction of residuals, thus there will be an interval of RUL for each residual which contains the maximum and minimum RUL values. the proposed approach is applied to a brushless DC motor (BLDC) used as a case study. Simulation experiments illustrate the performance of the approach.

关键词： Fault diagnosis Fault tolerance Analytical models Uncertainty Brushless DC motors Fault tolerant systems Predictive models

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On Interval Unknown-input Observer Application in Uncertain Metzler Linear System Diagnosis

On Interval Unknown-input Observer Application in Uncertain ...

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conference on control and Fault-Tolerant Systems (SysTol)

作者： Dušan Krokavec Anna Filasová Faculty of Electrical Engineering and Informatics Technical University of Košice 042 00 Košice Slovakia

the objectives of the paper are limitations in design of the interval unknown-input observer, predestined for the uncertain linear Metzler system with disturbances. Expanding the set of linear matrix inequalities warranting the strictly Metzler form of the interval unknown input observer system matrix, the paper presents sufficient condition to establish stable observer of the defined structure. It is shown that this problem can be solved through feasibility of given set of linear matrix inequalities. In contrast with the case of general uncertain linear continuous-time systems, some related properties are deduced to characterize interval unknown input Metzler observers and related residual filters.

关键词： Linear systems Sufficient conditions Maximum likelihood detection Fault tolerance Fault tolerant systems Nonlinear filters Observers

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Exploiting the blockchain to guarantee GDPR compliance while consents evolve under data owners' control 5

Exploiting the blockchain to guarantee GDPR compliance while...

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5th Italian conference on Cybersecurity, ITASEC 2021

作者： Calani, Massimiliano Denaro, Giovanni Leporati, Alberto University of Milan-Bicocca Department of Informatics Systems and Communication Viale Sarca 336 Milano20126 Italy

the last 20 years have seen increasingly wide spread of online services, including the advent of social media, and therefore increasingly massive sharing of personal data between users and companies, thus underscoring the importance of protecting the privacy of any involved personal data and avoid abuses. In 2018 the General Data Protection Regulation (GDPR) came into force, committing companies to comply with lawful rules that stress their role and responsibilities in protecting the privacy of the legal persons that share personal data with them. In this paper we address the crucial challenges that companies face to achieve compliance with GDPR, and specifically to i) let data owners full visibility and control on the consents related to their own personal data, and ii) design services that can cope with consents that may change or be revoked dynamically. We propose a solution that relies on the blockchain technology to let data owners grant, access and rectify their consents in a decentralized peer-to-peer fashion, while guaranteeing consensual agreement of data owners and companies on the status of the relevant consents at any time. Although blockchains let all users access all contents freely, our solution suitably exploits encryption to both guarantee the integrity of the consents, and avoid any disclosure to third parties. At the company side, our approach settles a compliance broker that works in a publish-subscribe style to assist services in controlling their compliance to GDPR while the status of consents evolves on the blockchain. © 2021 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 international (CC BY 4.0).

关键词： Blockchain

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Design and Analysis of a Snake-like Surgical Robot with Continuum Joints 5

Design and Analysis of a Snake-like Surgical Robot with Cont...

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5th IEEE international conference on Advanced robotics and Mechatronics (ICARM)

作者： Wang, Teng Wang, Ziwen Wu, Guangxin Lei, Long Zhao, Baoliang Zhang, Peng Shang, Peng Chinese Acad Sci Harbin Inst Technol Shenzhen Shenzhen Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Peoples R China Chinese Acad Sci Shenzhen Inst Adv Technol Shenzhen Key Lab Minimally Invas Surg Robot & Sys Shenzhen Peoples R China

ISBN: (数字)9781728164793

ISBN: (纸本)9781728164793

Minimally Invasive Surgery (MIS) is one of the most successful applications of surgical robots. the surgical robots that have been proposed in the past had problems with stiffness and size. this paper presents a rigid-soft hybrid drive snake-like surgical robot for MIS. the design concept and kinematic analysis of the robot are introduced. the proposed continuum robot has a shoulder joint and an elbow joint with gear articulated configuration and a wrist joint with continuum configuration to meet the requirements of flexibility, appropriate stiffness, and miniaturization. the shoulder and elbow joint can achieve parallel lateral movement using active and passive motion to realize the cooperative operation of two arms and achieve decoupling between the joints. the forward kinematics is analysed and can be directly used for motion control. Preliminary function testing proves that the working space of the continuum robot manipulator meets the operational requirements.

关键词： Joints Wrist Shoulder Elbow Tendons Medical robotics

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Impacts of Replace Venerable Iptables and Embrace Nftables in a new futuristic Linux firewall framework

Impacts of Replace Venerable Iptables and Embrace Nftables i...

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international conference on Computing Methodologies and Communication (ICCMC)

作者： Praveen Likhar Ravi Shankar Yadav Center for Artificial Intelligence and Robotics (CAIR) Defence Research and Development Organisation (DRDO) Benguluru India

Firewall is a cardinal element in network security paradigm, where it is a measure for providing network access control. Iptables/netfilter is the most popular Linux firewall and over the time iptables has been extensively evolved and extended but as a result of this it became complex. Fundamental design limitations of iptables and its inherent problems are hindrance for its scalability and performance. this paper presents impeding factors in development of iptables and discusses about nftables, a new futuristic Linux firewall framework. It brings out nftables design approach for overcoming the limitations of iptables. this paper also expatiate comparison of iptables and nftables frameworks on different aspects and discusses results and analysis of our experimentations, to find out “Is it right time to embrace nftables over iptables?

关键词： Access control Firewalls (computing) Filtering Linux Scalability Communication networks Kernel

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5th international conference on Interactive Collaborative robotics, ICR 2020

5th International Conference on Interactive Collaborative Ro...

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5th international conference on Interactive Collaborative robotics, ICR 2020

ISBN: (纸本)9783030603366

the proceedings contain 31 papers. the special focus in this conference is on Interactive Collaborative robotics. the topics include: A Combination of theta*, ORCA and Push and Rotate for Multi-agent Navigation;evaluation of Image Synthesis for Automotive Purposes;collision Detection in the Work of Collaborative Robots Using an Intelligent System;method of Formation of Reference Movement Speed of Working Tool of Multilink Manipulator;icr 2020 preface;A Concept for a HRC Workspace Using Proximity Sensors;distributing Tasks in Multi-agent Robotic System for Human-Robot Interaction Applications;a*-Based Path Planning Algorithm for Swarm robotics;modeling of Human-Machine Interaction in an Industrial Exoskeleton control System;gesture-Based Intelligent User Interface for control of an Assistive Mobile Information Robot;distributed Methods for Autonomous Robot Groups Fault-Tolerant Management;planning to Score a Goal in Robotic Football with Heuristic Search;q-Learning of Spatial Actions for Hierarchical Planner of Cognitive Agents;modeling of Increased Rigidity of Industrial Manipulator;Accurate Autonomous UAV Landing Using Vision-Based Detection of ArUco-Marker;Spatial Resolution-Independent CNN-Based Person Detection in Agricultural Image Data;approach to Obstacle Localization for Robot Navigation in Agricultural Territories;fast Face Features Extraction Based on Deep Neural Networks for Mobile Robotic Platforms;an Estimation of Distributed Algorithms of the Fault-Tolerant Management in the Robot Groups;Comparison of ROS-Based Monocular Visual SLAM Methods: DSO, LDSO, ORB-SLAM2 and DynaSLAM;Cooperative Guidance for Waypoint Following of Distributed Multi-UAV System;indoor vs. Outdoor Scene Classification for Mobile Robots;Mathematical Modelling of control and Simultaneous Stabilization of 3-DOF Aerial Manipulation System.

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Position control of Pneumatic Actuator Using Cascade Fuzzy Self-adaptive PID 5th

Position Control of Pneumatic Actuator Using Cascade Fuzzy S...

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5th international conference on Electrical, control and Computer Engineering, InECCE 2019

作者： Azahar, Mohd Iskandar Putra Irawan, Addie Taufika, Raja Mohd Suid, Mohd Helmi Robotics and Unmanned Systems Research Group Faculty of Electrical and Electronics Engineering Universiti Malaysia Pahang PekanPahang26600 Malaysia

ISBN: (纸本)9789811523168

Pneumatic systems are widely used in the industrial automation with its advantages in high power ratio, low cost and cleanliness fluid medium. However, the complex nonlinearities of pneumatics system make this system having difficulty to perform precise motion control especially in providing precise steady state tracking error on rod piston and stable pressure control. To overcome this issue, a cascade control technique named Fuzzy Self-Adaptive PID (CFSAPID) control is proposed. the adaptive tuning by Fuzzy Logic controller (FLC) is designed as tuner for PID controller. the proposed CFSAPID is simulated and verified on single-piston double acting valve pneumatic system model plant, and compared with single FSAPID controller. Five parameters are focused for analysis including piston rise time, piston settling time, piston velocity, pressure on piston chambers and force friction. the capability of proposed CFSAPID has been successfully verified by simulation studies. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Fuzzy logic

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