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THE METHOD OF HYBRID FUNCTIONS FOR THE NUMERICAL SOLUTION OF THE HODGKIN-HUXLEY MODEL 7th

THE METHOD OF HYBRID FUNCTIONS FOR THE NUMERICAL SOLUTION OF...

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7th international conference on Advances in Control and Optimization of Dynamical Systems (ACODS)

作者： Ganguly, Anindita Saha, Manika Ghosh, Aniruddha Maity, Ursa Kucera, Jan P. Raha, Soumyendu Indian Inst Sci Dept Computat & Data Sci Bangaluru 5600012 India Sister Nivedita Univ Dept Robot & Automat Kolkata 700150 India Indian Inst Technol Dept Elect Engn Dhanbad Bihar India Univ British Columbia Sch Biomed Engn Vancouver BC Canada Univ Bern Dept Physiol Bern Switzerland

Background and objective: The Hodgkin-Huxley framework of equations represent the generation of the nerve action potential. It is a fairly complex biophysical model that is non-linear in nature. It has four sets of coupled differential equations representing the membrane voltage and the gate variables. The conventional way of solving such systems is usually the forward Euler method. Some other computational methods are the Rush-Larsen (RL) method and, Runge-Kutta (RK) methods. In MATLAB, a popular method used is the ODE45 solver, which is actually 4th order Runge Kutta method. Method: In this paper, a new and simplified computational method is proposed which is called the Hybrid Functions (HF) method. To solve these differential equations representing a complex biological model, we present a detailed derivation of the proposed algorithm. Results: A detailed comparative study based on computational speed, absolute error and Integral Timed Squared Error (ITSE) was then conducted on the aforementioned algorithms. Conclusion: The results show that, due to the simplification of steps because of approximations considered in solving the system of equations, the HF method is quite effective for computing solutions of complex biophysical models with ease. Copyright (C) 2020 The Authors.

关键词： Hodgkin-Huxley model Hybrid function Biophysical model Numerical methods Membrane potential

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smart Garbage Bin: An IoT Platform for smart Waste Management System in Pakistan

Smart Garbage Bin: An IoT Platform for Smart Waste Managemen...

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international conference on computing, Mathematics and Engineering Technologies (iCoMET)

作者： Saadia Kulsoom Memon Abdul Rauf Memon Abdul Aziz Memon Department of Electronics Engineering Technology Benazir Bhutto Shaheed University of Technology & Skill Development Khairpur Pakistan Department of Electronic Engineering Mehran University of Engineering and Technology Jamshoro Pakistan Department of Electrical Engineering Sukkur IBA University Sukkur Pakistan

ISBN: (数字)9781728149707

ISBN: (纸本)9781728149714

Internet of things (IoT) is an emerging field which is increasingly becoming influential instrument in daily life. It endeavors to provide comfort and easiness in doing day to day activities in life. Moreover, it has increased the effectiveness of tasks by reducing the time span of the activity and augmenting its accuracy. It is being done with the help of internet service. IoT connects the activities with internet where it becomes easier to watch and monitor the process and the progress of the activity. Internet, the most important phenomenon of the 21 st century, has become a common norm in the society. Thus, IoT is making use of this dynamic feature of human innovation to add more innovative techniques to human lives. Besides all these innovation, human race has been subject to daunting and detrimental challenges which are putting its survival at risk. The problem of accumulating garbage is the most important one. The gigantic amount of waste material is also a big threat to climate of the earth. It is sine qua non to have a special mechanism to deal with the hectic task of collecting and transporting garbage in cities, however, recycling is another dimension of this huge problem. The focus of this research is to come up with a remedy for the problem of ever-increasing garbage. Here, an IoT based costeffective system has been developed. It has the capability to monitor the garbage in real time by using smart technology with the help of WeMos and Ultrasonic sensors. This system makes use of electronic devices and ThingSpeak platform to minimize the expenditures and time duration in the collection and transportation of the waste. This concept is unique in itself as it makes garbage bins able to communicate their status, periodically, to the authorities. This data can be seen on internet and it is not bounded by any specific location as internet is a global phenomenon and so do the proposed system.

关键词： Monitoring Waste management Acoustics Real-time systems intelligent sensors Mathematics

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Research on intelligent Video Surveillance System in Remote Area Based on NB-IoT 19

Research on Intelligent Video Surveillance System in Remote ...

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Proceedings of the 2019 2nd international conference on Algorithms, computing and Artificial Intelligence

作者： Rong Che Lianqing Wang Yinchuan Wang Qiang Lin College of Information and Communication National University of Defense Science and Technology Chang'an District Xi'an City Shaanxi Province China

ISBN: (纸本)9781450372619

In view of the sparsely populated areas in remote areas, low network coverage, limited transmission resources, and difficult equipment maintenance, in order to realize basic regional video surveillance and ecological monitoring with the problems which are seriously lack of conditions and means, based on the analysis of the advantages and disadvantages of video surveillance systems in remote areas, this paper proposes a remote video surveillance system based on NB-IoT. By adopting LTE BC20 NB-IoT module and camera to form NB-IoT terminal, based on cellular network, the collection, return and presentation of temperature and humidity data, smoke data and mobile cameras' positions' data of Louguantai were completed. The simulation verification of the smart video surveillance system in low-power area under narrow-band conditions showed that the system achieves the expected goals well.

关键词： NB-IoT

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DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping

DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NL...

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IEEE international Symposium on Innovations in intelligent Systems and Applications (INISTA)

作者： Kareem Amin Stelios Kapetanakis Nikolaos Polatidis Klaus-Dieter Althoff Andreas Dengel Smart Data and Knowledge Services German Research Center for Artificial Intelligence Technische Universität Kaiserslautern Kaiserslautern Germany School of Computing Engineering and Mathematics University of Brighton Brighton United Kingdom Intelligent Information Systems Lab Institute of Computer Science University of Hildesheim Hildesheim Germany

ISBN: (数字)9781728167992

ISBN: (纸本)9781728168005

With widespread modernization, digitization and transformations of most of industries, Artificial Intelligence (AI) has become the key enabler in that modernization journey. AI offers substantial capabilities to solve new problems and optimise existing solutions specialising on specific problems and learning from different domains. AI solutions can be either explainable or black box ones with the latter being urged to improve since they cannot trust. Case-based Reasoning (CBR) is an explainable AI approach where solutions are provided along with relevant explanations in terms of why a solution was selected. However, CBR, like most other explainable approaches, has several limitations in terms of scalability, large data volumes, domain complexity, that reduce its ability to scale any CBR system in industrial applications. In this paper, we provide a heterogeneous CBR framework - DeepKAF where we combine CBR paradigm with Deep Learning architectures to solve complicated Natural Language Processing (NLP) problems (eg. mixed language and grammatically incorrect text).DeepKAF is built based on continuous research in the area of Deep Learning and CBR. DeepKAF has been implemented and used across different domains, test use cases and research models as an ensemble deep learning and CBR Architecture.

关键词： Machine learning Training Neural networks Natural language processing Cognition Buildings Task analysis

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BITS: A Blockchain-driven intelligent Scheme for Telesurgery System

BITS: A Blockchain-driven Intelligent Scheme for Telesurgery...

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international conference on Computer, Information and Telecommunication Systems (CITS)

作者： Rajesh Gupta Urvish Thakker Sudeep Tanwar Mohammad S. Obaidat Kuei-Fang Hsiao Department of Computer Science and Engineering Nirma University Ahmedabad Gujarat India College of Computing and Information University of Sharjah UAE King Abdullah II School of IT University of Jordan Jordan University of Science and Technology Beijing China Department of Information Systems University of Sharjah UAE Department of Information Management Ming Chuan University Taiwan

ISBN: (数字)9781728165448

ISBN: (纸本)9781728165455

intelligent Telesurgery (TS) system with 6G-enabled Tactile Internet (TI) based on the blockchain has tremendous potential to deliver real-time and intelligent ultra-responsive healthcare services remotely with high quality and reliability. It would be significantly beneficial for the society in the prospect that high-quality medical service could be delivered to deprived areas and a highly promising surgical diagnosis could be achieved. However, the state-of-the-art TS systems have security, privacy, reliability, latency, and high-cost blockchain-based storage concerns, which limit the applicability of TS in surgical operations across the globe in the near future. To mitigate the aforementioned issues, we in this paper propose a novel approach named BITS an intelligent and blockchain-based TS framework. The issues pertaining to security, privacy, and lack of trust could be resolved through employing a smart contract. The issues related to the cost of data storage could be resolved by employing the InterPlanetary File System (IPFS) protocol. Moreover, we incorporate Artificial intelligent (AI) algorithms for training of surgical robots. The proposed scheme also prevents the execution of malicious commands transmitted by an intruder to a great extent. The 6G communication channel significantly mitigates the latency issues in exchanging surgical commands. Finally, we highlight some issues of the state-of-art TS systems and how the proposed BITS will be beneficial to combat those issues.

关键词： Medical services Surgery Security Reliability Robots Blockchain 6G mobile communication

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Parking Lot Profiling Analysis: the City of Split Use Case

Parking Lot Profiling Analysis: the City of Split Use Case

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international Multidisciplinary conference on Computer and Energy Science (SpliTech)

作者： Goran Jelen Vedran Podobnik Jurica Babić Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia

ISBN: (数字)9789532901054

ISBN: (纸本)9781728173634

Urban areas are going through a digital transformation where they are embracing Information and Communication Technology (ICT) to improve the Quality of Living (QoL) for its citizens. In this process, new data sources emerge, such as ground parking sensors which have the role in monitoring parking space occupancy. It is highly beneficial to analyse ground parking sensors data and to conduct parking profiling analysis to discover new knowledge about drivers' parking behaviour. This new knowledge can be used not only for understanding current parking patterns but as well as for creating prediction models that will have the ability to tell us how many parking spaces should be empty in the specific parking area and in the specific time slot. In this paper, the framework for parking profiling analysis will be presented, as well evaluated on the use case of parking spaces in the area of the City of Split, Croatia. The analysis shows that parking demand in Split is higher during the daily hours than the night hours, and that parking demand is the highest on Mondays and the lowest on Saturdays. For example, the profiling analysis for the most frequently used parking lot in Split shows that there is 18.67% of chance that parking lot will be fully occupied at midnight on Monday, and 20.66% chance that it will be fully occupied at noon on Monday.

关键词： Analytical models Digital transformation Urban areas Predictive models Information and communication technology Monitoring intelligent sensors

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intelligent Fall Detection and Alert System for the Elderly Using Yolov8 and Cloud-Based analytics

Intelligent Fall Detection and Alert System for the Elderly ...

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Electronics and Sustainable Communication Systems (ICESC), 2020 international conference on

作者： Vishal Papan Maheswari S. Dept. of Computer Engineering Vellore Institute of Technology Chennai India

ISBN: (数字)9798350379945

ISBN: (纸本)9798350379952

As people age, the frequency and impact of falls among the elderly continue to escalate, presenting significant health and mobility risks. Efficient detection and immediate response are crucial in reducing the severity of injuries and potentially life-threatening complications associated with such falls. This research study introduces a real-time alert system for the elderly by utlilizing the cutting-edge capabilities of YOLO v8, the latest iteration in the You Only Look Once series of models known for its high speed and accuracy in object detection tasks. The system is designed to operate with inputs from a variety of sources, including direct video feeds, RTSP streams from existing CCTV infrastructure, static images, and data from wearable sensors. This multi-source approach ensures that the system is adaptable for use in a wide range of environments, from personal residences to care facilities, providing continuous monitoring with enhanced accuracy. Upon the detection of a fall, the system immediately activates an alert protocol via Amazon Web Services (AWS) Simple Notification Service (SNS), ensuring that caregivers or family members are promptly notified to respond swiftly to the incident. This data-driven approach not only enhances the accuracy and responsiveness of the system over time but also aids caregivers and healthcare providers in understanding fall patterns and potential risk factors associated with specific environments or individuals, effectively addressing the critical challenges in elderly fall prevention and care.

关键词： YOLO Adaptation models Accuracy data analysis smart homes Real-time systems Older adults Fall detection Wearable sensors Monitoring

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smart cities: Progress and Problems in India

Smart cities: Progress and Problems in India

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international conference on Advances in computing, Communication Control and Networking

作者： Priyanka Gupta Rajan Gupta GGSIPU New Delhi India

The urge of urbanization is increasing at a rapid rate worldwide. It ensues the emergence and use of various digital technologies like Internet of Things, Cloud computing, Big data analytics, intelligent computing etc. The one important and most hyped application of such technologies is smart Cities. This concept revitalizesthe whole city by strengthening its core competencies. It automates every sector like transportation, homes, traffic, agriculture, water and electricity supply, waste management, health, education etc. This notion is implementing in various parts of the world leading to the new level of urbanization. The perception of this powerful approach in India is presented in this paper. The current stage of this project and the possible roadblocks in implementing it in Indian scenario is also discussed in this manuscript.

关键词： smart city Urbanization Technologies

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A Decentralized Collaborative Approach to Online Edge User Allocation in Edge computing Environments

A Decentralized Collaborative Approach to Online Edge User A...

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IEEE international conference on Web Services (ICWS)

作者： Qinglan Peng Yunni Xia Yan Wang Chunrong Wu Wanbo Zheng Xin Luo Shanchen Panz Yong Ma Chunxu Jiang Software Theory and Technology Chongqing Key Lab Chongqing University Chongqing China Macquarie University Sydney NSW Australia Data Science Research Center Kunming University of Science and Technology Kunming China Chongqing Institute of Green and Intelligent Technology Chinese Academy of Sciences Chongqing China School of Computer and Communication Engineering China University of Petroleum Qingdao China School of Computer and Information Engineering Jiangxi Normal University Nanchang China Chongqing Key Laboratory of Smart Electronics Reliability Technology Chongqing China

ISBN: (数字)9781728187860

ISBN: (纸本)9781728187877

Edge computing is a promising paradigm that can boost the performance of novel mobile applications and energize the real-time governance of Internet-of-Things (IoT) big data. In edge computing, mobile application vendors are allowed to employ edge resources to speed up end-users' applications in an elastic and on-demand manner. However, due to the complex geographical distribution of edge servers and users, how to decide the most appropriate destination edge server to hire and how to decide the corresponding user-server allocation plan with as-low-as-possible monetary cost are the key problems for application vendors. Instead of assuming a simultaneous-batch-arrival pattern of incoming users and considering static optimization of the Edge User Allocation (EUA) problem by most existing studies, in this paper, we consider an online EUA problem where users' arrival and departure follow a general pattern. We take the long-term edge user allocation rate and edge server leasing cost as scheduling targets and propose a decentralized collaborative and fuzzy-control-based approach to yielding real-time user-edge-server allocation schedules. In this approach, edge users are allowed to independently make their own allocation decision only based on local information (i.e., the status of nearby edge servers). Experiments on real-world edge datasets demonstrate our approach outperforms state-of-the-art approaches in terms of long-term allocation rate and system cost.

关键词： Web services Collaboration Real-time systems Mobile applications Resource management Servers Edge computing

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Using Blockchain in the agri-food sector following SARS-CoV-2 pandemic

Using Blockchain in the agri-food sector following SARS-CoV-...

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international conference on Electronics, Computers and Artificial Intelligence (ECAI)

作者： Florentina Magda Enescu Valeriu Manuel Ionescu Department of Electronics Communications and Computers University of Pitesti Romania

ISBN: (数字)9781728168432

ISBN: (纸本)9781728168449

This article proposes the use of Blockchain by small farmers in the agri-food sector. The registers of accounts and transactions stored by each participating partner, made through Blockchain, allow keeping secure information about the status of farms, contracts and product stocks. This ensures the creation of credible supply chains for both the producer and the consumer. intelligent contracts are made that can guarantee timely payments between the parties while modifying the data in the distributed databases. The research conducted in our study found that, usually, the marketing of small farmers' products is done in the arranged spaces (agri-food markets) or are taken over by intermediaries to be marketed. All these processes have the effect of increasing the prices borne by the consumer, but not only. During critical emergency periods, such as 2020 SARS-CoV-2, many farmers were left with unseen products. In support of producers and consumers; it is proposed to use the new blockchain system. This system achieves transparency, security and trust in the trading process. Although the blockchain system is at the beginning of the road, it can successfully achieve all these problems, so that small farmers can sell the products in periods with restrictions or not, to consumers, safely and at lower prices (directly from the manufacturer).The process can be applied in a region, state and even globally.

关键词： Blockchain Registers smart contracts Relational databases Production Reliability Peer-to-peer computing

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