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A Management Information Systems Framework for Sustainable Cloud-Based smart E-Healthcare Research Information Systems in Bangladesh

A Management Information Systems Framework for Sustainable C...

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intelligent Technologies (ACOIT), Asian conference on

作者： Khandakar Rabbi Ahmed Rakibul Islam Md Ariful Alam Mir Araf Hossain Rivin Mahfuz Alam Md Shafiqur Rahman Miyan Research Institute International University of Business Agriculture and Technology Uttara Model Town Dhaka Bangladesh Dept. of Mechatronics Engineering Rajshahi University of Engineering and Technology (RUET) Kazla Rajshahi Bangladesh Dept. of MBA in Business Analytics International American University (IAU) 3440 Wilshire Blvd STE 1000 Los Angeles CA United States Dept. of MBA in Management Information System International American University (IAU) 3440 Wilshire Blvd STE 1000 Los Angeles CA United States Dept. of Mathematics Louisiana Tech University 201 Mayfield Ave Ruston LA United States

ISBN: (数字)9798350374957

ISBN: (纸本)9798350374964

Cloud technology provides a practical and suitable way to manage the massive amount of information and resources in the global era. Information technology offers a strong possibility of accelerating smart healthcare research information sharing through cloud technology at a low cost and with limited resources. Health care information is directly related to health providers, but there are minimal options to get available health care records in Bangladesh. Unfortunately, no data centre can handle the volume of health information being transferred to and from multiple healthcare providers through the Internet. The primary purpose of our Research is to introduce sustainable Cloud-Based smart E-Healthcare Research Information Systems (CSERIS) and to adopt them in Bangladesh. Throughout this article, we represent vital research tools in healthcare records and provider data, investigation, and healthcare system integration. We present a list of several possible answers, the best service, and more opportunities to implement (CSERIS). In this Research, we tried to assess different aspects and strengths, suitability, feasibility, weaknesses, opportunities, challenges, and strategies for the Bangladeshi health sector and enterprises. Researchers may also use (CSERIS) to get all process data for further analysis, Research, and development. Our solution is more straightforward, user-friendly, and robust than older methods.

关键词： Cloud computing Costs Software as a service Information sharing Medical services System integration Management information systems Usability Information technology Research and development

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Work in Progress. SportSWARES, Towards an intelligent Way of Physical Training 13th

Work in Progress. SportSWARES, Towards an Intelligent Way of...

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13th international conference on Interactive Mobile Communication, Technologies and Learning (IMCL)

作者： Tsiatsos, Thrasyvoulos Apostolidis, Ippokratis Politopoulos, Nikolaos Chaldogeridis, Agisilaos Stamelos, Ioannis Aristotle Univ Thessaloniki Thessaloniki Greece

ISBN: (纸本)9783030499327;9783030499310

There is a developing interdisciplinary research field trying to provide advanced technological support to various sports activities. This support is focused mainly to professional elite athletes but is considering also about training in sports academies, gyms even about amateur athletes practicing at home. Advanced training can now be carried out using low-cost technology that can produce useful data for researchers and coaches. Sports data collected from athlete's skeletal tracking, movement analysis and physiological measurements may prove a valuable tool for motor and technical skills development. In addition, there is an increasing interest from coaches and sports academies to enrich sport activities by utilizing the use of serious exer-games and applications of augmented reality in order to provide a more intelligent, personalized and immersive training environment. In this paper a smart platform is proposed which collects athlete's bio-signals and data from visualization of skeletal movement, it analyses them and it provides affective and sport analytics feedback through application interfaces.

关键词： Sport technology Skeletal tracking Motion analysis Affective computing

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BIGcoldTRUCKS: a BIG data dashboard for the management of COLD chain logistics in refrigerated TRUCKS

BIGcoldTRUCKS: a BIG data dashboard for the management of CO...

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9th IEEE international conference on Big data (IEEE Bigdata)

作者： Gonzalez-Vidal, Aurora Gomez-Bernal, Paula Mendoza-Bernal, Jose Skarmeta, Antonio F. Univ Murcia Dept Informat & Commun Engn Murcia Spain Odin Solut Murcia Spain

ISBN: (纸本)9781665439022

The technological development of the food industry is bringing new opportunities for the optimization of cold chain logistics. Many businesses of all sizes have been capturing their trips' data and they are ready to apply Big data analytics and use Big data tools in order to extract knowledge and patterns that can be useful for decision-making and therefore provide added value to their business. In this line, we developed a shiny dynamic dashboard that provides a friendly user interface to the business in order to visualize and understand their data in the form of rankings, trips duration, demand seasonality, and geographic representation of the trips. The dashboard connects seamlessly with two Big data tools, elasticSearch and the DEEP training facility from the European Open Science Hub (EOSC). More specifically, those tools were used for data indexing and demand estimation of products using cloud computing respectively. Thanks to the interconnection of these tools, we are able to enhance the dynamic dashboard with Big data analytics in the form of multivariate demand prediction of the products using a Long Short Term Memory Network and ease query time and computation, creating real value for the cold chain logistics industry. The development of this solution was done with the support of the EOSC-Digital Innovation Hub initiative through a business pilot. The dashboard functionalities were implemented using a real-case dataset which cannot be shown for privacy reasons. In its place, we have simulated a meat-based products database for the purpose of this paper.

关键词： smart logistics elasticSearch cold chain smart transportation Big data

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5th international conference on smart computing and Communication, smartCom 2020

5th International Conference on Smart Computing and Communic...

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5th international conference on smart computing and Communication, smartCom 2020

ISBN: (纸本)9783030747169

The proceedings contain 29 papers. The special focus in this conference is on smart computing and Communication. The topics include: A GMM-Based Anomaly IP Detection Model from Security Logs;intelligent Textbooks Based on Image Recognition Technology;Visual analytics for Basketball Star Card Market—Under the Background of the NBA Restart;An Effective Seafile Dockerfile for Raspberry Pi to Make Docker YAML Files for Treehouses;design of a Hardware Accelerator for Zero-Knowledge Proof in Blockchains;Energy-Efficient Optimization Design for UAV-Assisted Wireless Powered MEC Systems;privacy-Preserving Accelerated Clustering for data Encrypted by Different Keys;blockchain Technology in Automobile Insurance Claim Systems Research;birds Classification Based on Deep Transfer Learning;chinese Clinical Named Entity Recognition Based on Stroke-Level and Radical-Level Features;research on Security Consensus Algorithm Based on Blockchain;Design of intelligent Detection and Alarm System for Accident Anti-collision Based on ARM Technology;resisting Adversarial Examples via Wavelet Extension and Denoising;privacy-Preserving computing Framework for Encrypted data Under Multiple Keys;deep Reinforcement Learning Based on Spatial-Temporal Context for IoT Video Sensors Object Tracking;imputation for Missing Items in a Stream data Based on Gamma Distribution;electronic Stethoscope for Heartbeat Abnormality Detection;geometric Surface Image Prediction for Image Recognition Enhancement;a Novel Approach for Robust and Effective Pose Estimation via Visual-Inertial Fusion;A Novel Image Recognition Method Based on CNN Algorithm;vision-Based Autonomous Driving for smart City: A Case for End-to-End Learning Utilizing Temporal Information;a Novel Estimation Method for the State of Charge of Lithium-Ion Battery Using Temporal Convolutional Network Under Multiple Working Conditions.

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Internet of Medical Things: A revolution in cardiovascular disease Prevalence and Diagnosis

Internet of Medical Things: A revolution in cardiovascular d...

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intelligent computing, Communication & Convergence (ICI3C), international conference on

作者： Shreya Mehta N. Aarushii Sahasra Reddy Ankana Sharma Ananya Mahajan Arvind K. Sharma Department of Biotechnology Shoolini University Solan Himachal Pradesh India Yogananda School of AI Computers and Data Science Shoolini University Solan Himachal Pradesh India

ISBN: (数字)9798350343922

ISBN: (纸本)9798350343939

Healthcare is an essential discipline with continuous and sustainable developments from decades in industry. Due to expeditious technological advancement in engineering the healthcare can’t be imagined without technologies like AI, Internet-Of-Things, data analytics etc., for quality diagnosis/prognosis on early stages of any health issues. The prominent technology Internet Of Things spreading its feet and exploring new dimensions in healthcare sector to make the digital-health possible, with the benefits of above-mentioned technologies for the improvement of healthcare services to possible consumers. The paper is focused especially on Internet of Medical Things, its applications, services more specifically for cardiology domain of medical sciences towards best medical practices.

关键词： Industries Weight measurement Hospitals Internet of Medical Things Cardiovascular diseases Cardiology smart devices Artificial intelligence Sustainable development Medical diagnostic imaging

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Monitoring Vital Parameters of Comatose Patients using smart Sensors Integrated with Cloud Storage

Monitoring Vital Parameters of Comatose Patients using Smart...

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international conference on I-SMAC (IoT in Social, Mobile, analytics and Cloud) (I-SMAC)

作者： P. Sinthia Malathi. M Sripriya. T Rahul Krishnan Gurumoorthy. G K. Jalaldeen Dept. of Biomedical Engineering Saveetha Engineering College Chennai India Dept. of ECE Rajalakshmi Institute of Technology Chennai India Dept. of ECE Jeppiaar Institute of Technology Chennai India Dept. of ECE SRM Institute of Science and Technology Chennai India Dept. of Medical Electronics Saveetha Engineering College Chennai India Dept. of ECE Solamalai College of Engineering Chennai India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376432

The monitoring of comatose patients is critical for identifying adverse changes in their physiological state and ensuring timely medical intervention. This research presents a novel IoT-based system for remotely monitoring and assessing vital signs in comatose patients. The proposed system utilizes various IoT sensors to measure pulse, respiratory rate, and eye movement, transmitting data to a centralized database and connected devices for real-time monitoring by healthcare professionals and family members. This approach offers a significant improvement over traditional observation methods, which can be time-consuming and prone to human error. By providing up-to-date information about the patient's vital signs and body movements, the IoT-based system enhances the quality of care and improves patient outcomes. This paper discusses the system's characteristics, building blocks, and implementation challenges based on existing research in this area.

关键词： Temperature sensors Cloud computing Pulse measurements Medical services Sensor systems Real-time systems Reliability smart devices Monitoring intelligent sensors

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Distributed analytics in smart Grids with Edge computing and Computational Intelligence

Distributed Analytics in Smart Grids with Edge Computing and...

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international conference on Power Energy, Environment and intelligent Control (PEEIC)

作者： Apoorva Joshi Preethi D Amandeep Gill Master of Computer Application Noida Institute of Engineering & Technology Greater Noida Uttar Pradesh India Department of Computer Science Jain (Deemed to be University) Bangalore India Department of R&D Cell Vivekananda Global University Jaipur India

Conventional methods like classification or clustering have limits when it comes to handling the complex task for dispersed data mining across heterogeneous sources and divergent data formats. This is especially true in scenarios where stochastic models or mathematical formulas may not be feasible. data centralization is a prevalent trend that exacerbates problems including communication channel congestion and privacy difficulties related to sensitive data flows. In order to overcome these obstacles, this paper presents the Distributed Academic Engine (DAE), an adaptive edge-based scattered analytic engine designed for distributed networks. The DAE routinely breaks down and divides computations that need data from multiple sources among the nodes that are already in place, enabling the sharing of partial results without disclosing the original data. To get the full expression output, the master node combines these partial results. The expression is decomposed and processing jobs are distributed among nodes using three computational intelligence techniques: genetic algorithm, genetic algorithm using evolution control, the particle swarm optimization. This method's effectiveness is illustrated with a case study on smart grid KPI identification, which shows a noteworthy (over 91%) decrease in communication messages over conventional approaches. This demonstrates how well the suggested method works to reduce the difficulties related to distributed data mining.

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Integrated IoT and Machine Learning Solutions for Precision Farming: Crop Recommendation and Leaf Disease Diagnosis

Integrated IoT and Machine Learning Solutions for Precision ...

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international conference on I-SMAC (IoT in Social, Mobile, analytics and Cloud) (I-SMAC)

作者： Harish M J Vimala Devi Dept. of Computer Science and Engineering Dayananda Sagar College of Engineering(of Aff.VTU) Bengaluru India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376432

The digital convergence of the Internet of Things and machine learning has therefore redefined precision agriculture with respect to productivity and sustainability. This work therefore proposes a smart agriculture system via the following IoT sensors: Soil Moisture, DHT, and NPK sensors, along with data storage in ThingSpeak cloud *** Similarly, farmers learn which plants are best to grow based on their projected data from machine learning algorithms. A convolutional neural network named ResNet was used for its control to instantly and correctly identify plant diseases in live mode. For the system’s front end, HTML, CSS, and JavaScript were used while Python facilitated creation of the back end that provides users with an easy-to-use interface. It has achieved high accuracy levels in crop recommendation through models like Decision Tree, Naive Bayes, SVM, Logistic Regression, Random Forest and XGBoost among others have attained an accuracy of 90%, 99.09%, 97.95%, 95.27%, 99.09% and 99.31% respectively in crop recommendation. By ResNet model in the identification of leaf disease, a density of 99.2% was achieved.

关键词： Support vector machines Cloud computing Accuracy Soil moisture Crops Internet of Things Convolutional neural networks Sustainable development Random forests intelligent sensors

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1st international conference on Artificial Intelligence for smart Community, AISC 2020

1st International Conference on Artificial Intelligence for ...

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1st international conference on Artificial Intelligence for smart Community, AISC 2020

ISBN: (纸本)9789811621826

The proceedings contain 102 papers. The special focus in this conference is on Artificial Intelligence for smart Community. The topics include: Environmental Feasibility Survey of Solar Photovoltaic Cells;instrument Cluster IoT Enclosure Design and Production Implementation in Self Driven Vehicles;General Adversarial Networks: A Tool to Detect the Novel Coronavirus from CT Scans;VLSI Implementation of Multipliers for Artificial Intelligence Applications: A Survey;automated Boneage Analysis Using Machine Learning;Multi-Class SVM Prediction Model for Lung Cancer Diagnosis;survey on Fire Safety Robot & Implementation of Android Application;Detection of Emergency Vehicles Using Radio Frequency Identification (RFID);big data-Enabled Solutions for Covid-19;smart Traffic Monitoring System;harvesting Electrical Energy from Body Heat to Power Bio Medical Wearables;intelligent Control Techniques for Parameter Tuning of PID Controller for LFC with Emphasis on Genetic Algorithm;the Significant Relationship Between E-Governance System and Government Operation Excellence;Trajectory Tracking Control of Industrial Robot Manipulator Using VS Control System with STHWS Method;medical Fitness Device for Driving Assessment;application of Artificial Intelligence for Reservoir Storage Prediction: A Case Study;fabrication of Parallel Mechanism Actuated by Pneumatic Artificial Muscle for Rehabilitation Therapy;a Review of Artificial Intelligence-Based Techniques to Estimate Atmospheric Parameters Influencing the Performance of Concentrating Photovoltaic/Thermal Systems;On the Performance of MIMO-UVLC System over Turbulence-induced Fading Channels;fabrication of One Degree of Freedom Knee Exoskeleton for Nervous Disorder;Semi-Automatic Detection and Measurement of Fetal Parameters from Ultrasound Images and the Scope Automatic System Using LabVIEW;an Empirical Analysis on Big analytics for e-Healthcare and Agriculture.

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Internet of Things for Green smart City Application Based on Biotechnology Techniques

Internet of Things for Green Smart City Application Based on...

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Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF), international conference on

作者： N Bhaskar S Ramana G. Mahesh Kumar Dept of Computer Science Bhavan's Vivekananda College Sainikpuri Secunderabad

Recent developments in hardware and software have led to a proliferation of Internet of Things (IoT) devices (such as smartgadgets, intelligent Cameras, Self Driving cars, etc.), making IoT devices and their applications ubiquitous in today's information society. But because IoT lets different kinds of devices connect and talk to each other, it creates a huge amount of data that needs to be processed and stored. The Industrial Revolution was a watershed moment in human history, a catalyst for economic growth that altered global patterns and the way people lived. The era of the intelligence-driven information revolution has finally come. The future of fields like biotechnology and medicine is bright thanks to rapid technological development, widespread access to the internet, and The Era of Big data Has Arrived. IoT enables the automation of R&D through the use of The use of cutting-edge smart sensors, smartphone-based instruments and devices, and seamless networking. Technologies such as data storage and sharing in the cloud, analytics on large amounts of data, embedded sensors, smart wearable devices, eco-friendly computers, data mining, biomedical imaging, intelligent algorithms, healthcare informatics, and so on are all examples. are all utilised by IoT -based digital health. To facilitate the gathering, storage, transfer, and analysis of large data sets in real time, the IoT facilitates healthcare mobility solutions and systems in the cloud. Disease diagnostics, Treatment of Patients From a Distance, improving clinical procedures, creating a “green smart city,” controlling inventories and livestock, and simplifying data administration are all hampered by the IoT, hastening the period of the digital revolution.

关键词： Wireless communication Cloud computing Wireless sensor networks Biotechnology Electrocardiography Sensor systems Electroencephalography

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