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IoT Use Cases in Healthcare and Tourism

IoT Use Cases in Healthcare and Tourism

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IEEE Conference on Commerce and Enterprise Computing, CEC

作者： Ekaterina Balandina Sergey Balandin Yevgeni Koucheryavy Dmitry Mouromtsev IoT program project FRUCT Oy Helsinki Finland Department of Electronics and Communication Engineering Tampere University of Technology Tampere Finland

Healthcare and tourism are among the fastest growing business domains in the world. These are biggest service industries that affect whole world population and give jobs to millions of people. Recently we witness major changes in both industries, as more services are transferred to small providers, including individual entrepreneurs and SMEs. This process is driven by huge growth in demand, which cannot be fulfilled by applying traditional solutions. The new generation of digital services reshapes landscape of both industries. Some players see it as a threat, as digital services replace their traditional business models. But fighting against progress is useless, especially when you cannot fulfill growing by old means. Internet of Things (IoT) is an integral part of the Future Internet ecosystem that will have major impact on development of healthcare and e-Tourism services. IoT provides an infrastructure to uniquely identify and link physical objects to their virtual representations in Internet. As a result any physical object can have virtual reflection in the service space. This gives an opportunity to replace actions on physical objects by operations on their virtual reflections, which can be done much faster, cheaper and more comfortable for people. This provides a huge space for developing and applying new business models. In this paper we summarize research and development results of IoT studies and discuss ideas on how to apply them to business.

关键词： Monitoring Business Medical diagnostic imaging Hospitals Smart phones Sensors

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Feature Selection in Cross-Project Software Defect Prediction 3

Feature Selection in Cross-Project Software Defect Predictio...

引用

3rd International Conference on Science and Technology 2019, ICST 2019

作者： Saifudin, A. Trisetyarso, A. Suparta, W. Kang, C.H. Abbas, B.S. Heryadi, Y. Informatics Engineering Pamulang University Jalan Raya Puspitek 46 Banten15310 Indonesia Computer Science Program Bina Nusantara University Jalan Kebon Jeruk Raya 27 Jakarta11530 Indonesia Informatics Department Pembangunan Jaya University Banten Indonesia Department of Electronics and Communication Engineering Kwangwoon University Korea Republic of

Advances in technology have increased the use and complexity of software. The complexity of the software can increase the possibility of defects. Defective software can cause high losses. Fixing defective software requires a high cost because it can spend up 50% of the project schedule. Most software developers don't document their work properly so that making it difficult to analyse software development history data. Software metrics which use in cross-project software defects prediction have many features. Software metrics usually consist of various measurement techniques, so there are possibilities for their features to be similar. It is possible that these features are similar or irrelevant so that they can cause a decrease in the performance of classifiers. In this study, several feature selection techniques were proposed to select the relevant features. The classification algorithm used is Naive Bayes. Based on the analysis using ANOVA, the SBS and SBFS models can significantly improve the performance of the Naïve Bayes model. © Published under licence by IOP Publishing Ltd.

关键词： Defects

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Sensory Perception of Haptic Rendering in Surgical Simulation 14

Sensory Perception of Haptic Rendering in Surgical Simulatio...

引用

14th International Conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Kaushik, Rohit Sachdeva, Rachit Vashisht, Chirag Choudhary, Krishan Kant University of Illinois Data Analytics Program Cs and Mathematics Department Springfield United States Dr. Akhilesh das Gupta Institute of Technology and Management Electronics and Communication Engineering Department New Delhi India Dr. Akhilesh das Gupta Institute of Technology and Management Information Technology and Engineering Department New Delhi India

ISBN: (纸本)9798350335095

The essential ideas behind haptic technology, including haptic interface and haptic rendering methods, as well as its application to surgical simulation, medical education, and other diverse topics, are presented in this paper. In empirical psychology and physiology, this refers to the sense of contact. The process of analyzing and developing capabilities in response to user interactions with virtual entities is elaborated as haptic rendering. Haptic may indicate haptic transmission, haptic perception, and haptic technology. Humans and other animals can respond to one another by using their feelings through haptic technology. Haptic perception is the process of recognizing objects through *** implies tactile response, which means it delivers feedback in the state of sensation as we may sense the material properties and motions of virtual objects devised by a computer. The use of haptic technology in the medical profession has proven extremely beneficial, and it has a wide range of applications in many different industries. Providing effective exchange via virtual reality helps to ease the surgeon's obligations. Amplify a person's experience in the virtual environment. The haptics ability ranges from computer graphics to psychophysics, cognitive science, and neurosciences. © 2023 IEEE.

关键词： Virtual reality

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Amplitude and Frequency Modulation behaviours of Cellular Neural Networks

Amplitude and Frequency Modulation behaviours of Cellular Ne...

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IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA)

作者： Baran Tander Atilla Özmen Vocational School of Technical Sciences Communication Electronics Program Kadir Has University Selimpasa Istanbul Turkey School of Engineering Electronics Engineering Department Kadir Has University Cibali Istanbul Turkey

As is well known, Amplitude Modulation (AM) and Frequency Modulation (FM) are the most popular modulation techniques in communications [1]. Classically, they are designed as individual systems at transmitters; however in this study, it is shown that, both can be realized under a single architecture, specifically on a Cellular Neural Network with an opposite sign template (CNN-OST). First, the CNN-OST is introduced and then, AM and FM behaviours of this structure are explained. Simulations are carried out where satisfactory results are found and finaly, the advantages and drawbacks of the proposed system are discussed.

关键词： Frequency modulation Cellular neural networks Mathematical model Partial differential equations Educational institutions Oscillators

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Compact Complementary Split Ring Resonator Based Sensor for Non-Invasive Glucose monitoring

Compact Complementary Split Ring Resonator Based Sensor for ...

引用

Telecommunications Conference (ITC-Egypt), International

作者： Adnan Zahran Youssif Ayman Aly Angie R. Eldamak Dalia N. Elsheakh Electronics and Communication Systems Engineering Program Faculty of engineering Ain Shams University Cairo Egypt Electronics and Communication Systems Engineering Dept. Faculty of engineering Ain Shams University Cairo Egypt Electrical Dept. Faculty of Engineering and Technology Badr University in Cairo Badr City Cairo Egypt

ISBN: (数字)9798350351408

ISBN: (纸本)9798350351415

This paper presents a novel approach for noninvasive glucose monitoring using a Compact Complementary Split Ring Resonator (CCSRR) based sensor. The sensor design is initially simulated using High-Frequency Structure Simulator (HFSS) software, and then experimental validation is done. We carried out simulations with and without a finger phantom model to closely resemble conditions in real situations. The sensor exhibits high sensitivity and accuracy in detecting glucose concentrations within blood samples. Vector Network Analyzer was used along with the sensor to validate the simulation results. The results demonstrate close agreement between simulation and experimental data, affirming the effectiveness of the proposed sensor design for non-invasive glucose monitoring.

关键词： Sensitivity Split ring resonators Fingers Phantoms Network analyzers Vectors Glucose

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Spectral Efficiency, Diversity Gain and Multiplexing Capacity Analysis for Massive MIMO, 5G communications System

Spectral Efficiency, Diversity Gain and Multiplexing Capacit...

引用

International Conference on Networking and Network Applications (NaNA)

作者： Khem Narayan Poudel Shankar Gangaju Computational Science Program Middle Tennessee State University Tennessee USA Department of Electronics and Communication Engineering Tribhuvan University Kathmandu Nepal

Massive MIMO is a most promising wireless multiuser technology that provides higher throughput(in bit/sperkm2) by employing thousands of antennas array. The large arrays of antennas on user equipments (UE) employing uplink and downlink time division duplexing (TDD) mode improves the overall spectral efficiency(SE). We present a variation on overall spectral efficiency using various power scaling levels. Such meta material inspired large arrays antennas are designed using COMSOL Multi-physics. We investigate the design of such antenna arrays and analyze the S-parameter, radiation patterns, correlation coefficient and diversity gains. Further, we derive few formulations for channel capacity, spectral efficiency for both uplink and downlink channels and evaluate the performance using Matlab. The overall analysis offers a new approach in signal processing and antenna design of massive MIMO systems.

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International Conference on Intelligent Computing and Smart communication 2019 1

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丛书名： Algorithms for Intelligent Systems

1000年

作者： Geetam Singh Tomar Narendra S. Chaudhari Jorge Luis V. Barbosa Mahesh Kumar Aghwariya

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Image segmentation for image-based dietary assessment: A comparative study

Image segmentation for image-based dietary assessment: A com...

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International Symposium on Signals, Circuits and Systems (ISSCS)

作者： Y. He N. Khanna C. J. Boushey E. J. Delp School of Electrical and Computer Engineering Purdue University Department of Electronics and Communication Engineering Graphic Era University Cancer Epidemiology Program University of Hawaii Cancer Center

There is a health crisis in the US related to diet that is further exacerbated by our aging population and sedentary lifestyles. Six of the ten leading causes of death in the United States can be directly linked to diet. Dietary assessment, the process of determining what someone eats during the course of a day, is essential for understanding the link between diet and health. We are developing imaging based tools to automatically obtain accurate estimates of what foods a user consumes. Accurate food segmentation is essential for identifying food items and estimating food portion sizes. In this paper, we present a quantitative evaluation of automatic image segmentation methods for food image analysis used for dietary assessment. The experiments indicate that local variation is more suitable for food image segmentation in general dietary assessment studies where the food images acquired have complex background.

关键词： Image segmentation Active contours Educational institutions Mobile communication Equations Image edge detection Conferences

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Cluster-based spectrum sensing for cognitive radios with imperfect channel to cluster-head

Cluster-based spectrum sensing for cognitive radios with imp...

引用

IEEE Conference on Wireless communications and Networking

作者： Mahdi Ben Ghorbel Haewoon Nam Mohamed-Slim Alouini Electrical Engineering Program King Abdullah University for Science and Technology Thuwal Makkah Saudi Arabia Electronics and Communication Engineering Hanyang University Ansan South Korea

Spectrum sensing is considered as the first and main step for cognitive radio systems to achieve an efficient use of spectrum. Cooperation and clustering among cognitive radio users are two techniques that can be employed with spectrum sensing in order to improve the sensing performance by reducing miss-detection and false alarm. In this paper, within the framework of a clustering-based cooperative spectrum sensing scheme, we study the effect of errors in transmitting the local decisions from the secondary users to the cluster heads (or the fusion center), while considering non-identical channel conditions between the secondary users. Closed-form expressions for the global probabilities of detection and false alarm at the cluster head are derived.

关键词： Signal to noise ratio Sensors Cognitive radio Error probability Shadow mapping Binary phase shift keying Fading

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ANALYSIS OF FOOD IMAGES: FEATURES AND CLASSIFICATION

ANALYSIS OF FOOD IMAGES: FEATURES AND CLASSIFICATION

引用

IEEE International Conference on Image Processing

作者： Ye He Chang Xu Nitin Khanna Carol J. Boushey Edward J. Delp School of Electrical and Computer Engineering Purdue University Department of Electronics and Communication Engineering Graphic Era University Cancer Epidemiology Program University of Hawaii Cancer Center

In this paper we investigate features and their combinations for food image analysis and a classification approach based on k-nearest neighbors and vocabulary trees. The system is evaluated on a food image dataset consisting of 1453 images of eating occasions in 42 food categories which were acquired by 45 participants in natural eating conditions. The same image dataset is used to test the classification system proposed in the previously reported work [1]. Experimental results indicate that using our combination of features and vocabulary trees for classification improves the food classification performance about 22% for the Top 1 classification accuracy and 10% for the Top 4 classification accuracy.

关键词： Accuracy Image segmentation Image color analysis Vocabulary Feature extraction Vectors Training

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