Journal of Mobile Multimedia最新文献_第3页

HDQNN-Net: An Optimal Asthma Disease Detection Technique for Voice Signal Using Hybrid Deep Q-Neural Networks 基于混合深度q -神经网络的语音信号哮喘疾病检测技术

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.1969

Md. Asim Iqbal, K. Devarajan, Syed Musthak Ahmed

{"title":"HDQNN-Net: An Optimal Asthma Disease Detection Technique for Voice Signal Using Hybrid Deep Q-Neural Networks","authors":"Md. Asim Iqbal, K. Devarajan, Syed Musthak Ahmed","doi":"10.13052/jmm1550-4646.1969","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1969","url":null,"abstract":"Recently, asthma patients are severely suffering COVID-19 disease, thus the asthma has become one of the dangerous diseases in the world. Further, asthma is occurring in all age groups, which causing huge loss to patient’s health. The primary way to detect the asthma in humans is done by their speech signals, as the asthma severity is increases, which manipulates the properties of speech signal. The conventional methods are failed to extract the maximum features from the speech signals, which resulted in low classification performance. Thus, this article is focused on implementation of real time asthma disease detection and identification technique from speech signals using Hybrid Deep Q Neural Networks (HDQNN). Initially, the features from the speech signals are extracted by using Krill herd optimization (KHO) approach, which extracts the detailed disease specific features. Further, the optimal features are extracted by using chaotic opposition krill herd optimization (COKHO) algorithm. Then, HDQNN is used to classify the type of asthma such as normal, and stridor classes. Further, COKHO is also used to optimize the losses generated in the HDQNN model. The simulation results shows that the proposed HDQNN method resulted in superior performance as compared to state of art approaches.","PeriodicalId":38898,"journal":{"name":"Journal of Mobile Multimedia","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135766946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative Experimental Evaluation of RFID Propagation Loss with Wooden and Metal Bookshelves 木制和金属书架上RFID传播损耗的定量实验评估

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.1966

Jatuporn Supramongkonset, Sathaporn Promwong

引用次数: 0

Design of Gamified Crowdsourcing for Tourism Participatory of Urban Problem the Management of Smart City Initiatives 基于游戏化众包的旅游参与式城市问题设计——智慧城市管理方案

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.1961

Suepphong Chernbumroong, Phimphakan Thongthip, Orasa Sirasakamol, Kanjana Jansukpum, Phichete Julrode, Kitti Puritat

{"title":"Design of Gamified Crowdsourcing for Tourism Participatory of Urban Problem the Management of Smart City Initiatives","authors":"Suepphong Chernbumroong, Phimphakan Thongthip, Orasa Sirasakamol, Kanjana Jansukpum, Phichete Julrode, Kitti Puritat","doi":"10.13052/jmm1550-4646.1961","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1961","url":null,"abstract":"Chiang Mai is a well-known province in Thailand, attracting a large number of tourists every year. Nonetheless, due to the large number of tourists visiting Chiang Mai, they may confront a variety of issues, including urban issues, which may create annoyance and create unpleasant experiences. In this study, we proposed the design and development of gamified mobile application which employed the concept of participatory crowdsourcing and the system architecture for management of tourism participatory of urban problem for smart city of government officer in order to motivate tourists to collaborate in providing their comments and feedback regarding urban problems encountered in Chiang Mai city. To evaluate the approach, we developed and launched our data-gathering application for tourists. The results reveal five significant types of urban problems encountered by 352 tourists in Chiang Mai. Moreover, we found that the most urban problems in Chiang Mai by tourists are communication (31.34%), vendors (23.88%) and transportation (15.67%). Furthermore, the study revealed that gamification can motivate tourists’ attention of the participatory sensing to providing feedback and complaints to the officer government to solve the problems.","PeriodicalId":38898,"journal":{"name":"Journal of Mobile Multimedia","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135767279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning Technique Based State-Of-The-Art in Skin Cancer Detection: A Review 基于深度学习技术的皮肤癌检测研究进展

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.19610

CH. Srilakshmi, E. Laxmi Lydia, N. Ramakrishnaiah

引用次数: 0

Trustworthy Artificial Intelligence and Automatic Morse Code Based Communication Recognition with Eye Tracking 可信人工智能和基于莫尔斯电码的眼动追踪通信识别

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.1964

Krishnakanth Medichalam, V. Vijayarajan, V. Vinoth Kumar, I. Manimozhi Iyer, Yaswanth Kumar Vanukuri, V. B. Surya Prasath, B. Swapna

{"title":"Trustworthy Artificial Intelligence and Automatic Morse Code Based Communication Recognition with Eye Tracking","authors":"Krishnakanth Medichalam, V. Vijayarajan, V. Vinoth Kumar, I. Manimozhi Iyer, Yaswanth Kumar Vanukuri, V. B. Surya Prasath, B. Swapna","doi":"10.13052/jmm1550-4646.1964","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1964","url":null,"abstract":"Morse code is one of the oldest communication techniques and used in telecommunication systems. Morse code can be transmitted as a visual signal by using reflections or with the help of flashlights, but it can also be used as a non-detectable form of communication by using the tapping of fingers or even blinking of eyes. In this paper, we develop a computer vision based approach that automatically characterizes the characters conveyed wherein a person can communicate to system or another person through Morse code with eye gestures. We can decode this visual eye tracking based language with the help of our automatic computer vision driven method. Our approach uses a normal webcam to detect the gestures made by the eyes and are interpreted as dots and dashes. These dots and dashes are used to represent the Morse code-based words. Image processing techniques-based blink and pupil detectors are employed. Blink detector helps us to detect a blink and the time that took for each blink. A blink that takes 2 to 4 seconds is acknowledged as a dot whereas a blink that takes more than 4 seconds is represented as a dash. The pupil detector helps us to detect the movement of the pupils, and if pupils move towards right with respect to a person then it is acknowledged as next letter and if the pupils are moved towards left with respect to a person then it is acknowledged as next word. In this way, we decode the Morse code which will be communicated using eyes and establish a non-detectable communication between a person and an automatic system. Our experimental results on an unconstrained visual scene with preliminary greeting words indicate the promise of an automatic eye tracking based system with success rate of 98.25% that can be of use in non-verbal communications.","PeriodicalId":38898,"journal":{"name":"Journal of Mobile Multimedia","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135767291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Measurement and Investigation of HB-UWB Transmission Link for BAN System BAN系统中HB-UWB传输链路的测量与研究

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.1965

Chanidaphar Sanguanpuak, Sathaporn Promwong, Chanin Bunlaksananusorn

{"title":"Measurement and Investigation of HB-UWB Transmission Link for BAN System","authors":"Chanidaphar Sanguanpuak, Sathaporn Promwong, Chanin Bunlaksananusorn","doi":"10.13052/jmm1550-4646.1965","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1965","url":null,"abstract":"The short-range wireless multimedia is consider used a ultra wideband (UWB) technology for human body mobile and multimedia applications shows promise for wireless multi-media systems. Based on IEEE 802.15.6, wireless body area networks (BAN) require understanding the human body’s effects on channel characteristics. This paper presents how to evaluation of human body ulra-wideband (HB-UWB) transmission with line-of-sight and non-line-of-sight scenario. Our research aims to enhance HB-UWB channel propagation on the body media by employing with CLEAN algorithm to eliminate noise. This research leverage findings from previous studies to facilitate performance comparison. Furthermore, for analyze system performance using the CLEAN algorithm at different body positions. The measurement setup covers band the FCC regulated from 3.0 GHz to 11 GHz. It includes the tested with wideband antenna and vector network analyzer (VNA). HB-UWB characteristics are shows in the path loss and power delay profile are discussed as relevant parameters. This research very useful for design and evaluation of human body mobile network and wireless multimedia systems.","PeriodicalId":38898,"journal":{"name":"Journal of Mobile Multimedia","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135804213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real Time Asthma Disease Detection and Identification Technique from Speech Signals Using Hybrid Dense Convolutional Neural Network 基于混合密集卷积神经网络的语音信号哮喘疾病实时检测与识别技术

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.1967

Md. Asim Iqbal, K. Devarajan, Syed Musthak Ahmed

{"title":"Real Time Asthma Disease Detection and Identification Technique from Speech Signals Using Hybrid Dense Convolutional Neural Network","authors":"Md. Asim Iqbal, K. Devarajan, Syed Musthak Ahmed","doi":"10.13052/jmm1550-4646.1967","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1967","url":null,"abstract":"Recently, asthma patients are severely suffering COVID-19 disease, thus the asthma has become one of the dangerous diseases in the world. Further, asthma is occurring in all age groups, which causing huge loss to patient’s health. The primary way to detect the asthma in humans is done by their speech signals, as the asthma severity is increases, which manipulates the properties of speech signal. The conventional methods are failed to extract the maximum features from the speech signals, which resulted in low classification performance. Thus, this article is focused on implementation of real time asthma disease detection and identification technique from speech signals using Multi-Feature Extraction, Selection with Hybrid Classifiers (MFESHC). Initially, speech signals are preprocessed by using Maximum likelihood estimation based spread spectrum analysis (MLE-SSA) method. Then, Improved prefix Beam Search (IPBS) based natural language processing (NLP) method is used to extract and select the best features from the preprocessed speech signals. Then, hybrid dense convolutional neural networks (HDCNN) are used to classify the type of asthma such as normal, stridor, wheezes and rattle classes. Further, Modified Crow Search (MCS) is used to optimize the losses generated in the HDCNN model. The simulation results shows that the proposed MFESHC method resulted in superior performance as compared to state of art approaches because the MCS effectively reduced the losses in the model.","PeriodicalId":38898,"journal":{"name":"Journal of Mobile Multimedia","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135767286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of an Optimized Self-Acclimation Graded Boolean PSO with Back Propagation Model and Cuckoo Search Heuristics for Automatic Prediction of Chronic Kidney Disease 基于反向传播模型和布谷鸟搜索启发式的自适应梯度布尔粒子群优化设计用于慢性肾脏疾病自动预测

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.1962

Anindita Khade, Amarsinh V. Vidhate, Deepali Vidhate

{"title":"Design of an Optimized Self-Acclimation Graded Boolean PSO with Back Propagation Model and Cuckoo Search Heuristics for Automatic Prediction of Chronic Kidney Disease","authors":"Anindita Khade, Amarsinh V. Vidhate, Deepali Vidhate","doi":"10.13052/jmm1550-4646.1962","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1962","url":null,"abstract":"Objectives: A kind of Artificial Neural Network (ANN) known as a Back Propagation Neural Network (BPNN) has been extensively applied in a variety of sectors, including medical diagnosis, optical character recognition, stock market forecasting, and others. Many studies have employed BPNN to create decision-support tools for doctors to use while making clinical diagnoses. Chronic Kidney Disease (CKD) is one such kind of disease which has been receiving due importance from the past decades due to lack of symptoms in its early stages. The goal of this work is to demonstrate the performance of Artificial Intelligent (AI) algorithms in the early detection of CKD. Method: We received 800 patients’ real-time data from DY Patil Hospitals for this investigation. Self-Acclimation Graded Boolean PSO (SAG-BPSO), a modified version of Particle Swarm Optimization (PSO), has been proposed and used in this study to accomplish feature selection. Cuckoo Search Algorithm (CSA) has been used to optimise the weights and biases of the BPNN. Finally, this hybrid model is combined with BPNN for final predictions. Finally, a comparison is made between few state of art algorithms and the proposed approach. Results: The accuracy noted on applying BPNN on the dataset was approximately 91.45%. The combined model of BPNN+SAGBPSO provided an accuracy of about 92.25%. The accuracy achieved for the hybrid model of BPNN+SAGBPSO+CSA was approximately near to 98.07%. Conclusions: This research used SAGBPSO for feature selection and CSA for finalizing the weights and biases of BPNN. The research implemented BPNN, BPNN+SAGBPSO and BPNN+SAGBPSO+CSA on our real time dataset. The proposed hybrid model BPNN+SAGBPSO+CSA outperformed all the state of art deep learning algorithms in terms of performance metrics.","PeriodicalId":38898,"journal":{"name":"Journal of Mobile Multimedia","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135767284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Mobile Multimedia Trustworthiness through Federated AI-based Content Authentication: Enhancing Mobile Multimedia 基于联邦ai的内容认证增强移动多媒体可信度:增强移动多媒体

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.1963

M. Rajesh, K. Vengatesan, R. Sitharthan, Shanmuga Sundar Dhanabalan, Mahendra Bhatu Gawali

{"title":"Enhancing Mobile Multimedia Trustworthiness through Federated AI-based Content Authentication: Enhancing Mobile Multimedia","authors":"M. Rajesh, K. Vengatesan, R. Sitharthan, Shanmuga Sundar Dhanabalan, Mahendra Bhatu Gawali","doi":"10.13052/jmm1550-4646.1963","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1963","url":null,"abstract":"The rapid proliferation of mobile devices and multimedia content has led to an increased need for ensuring trustworthiness and authentication of the shared data. Traditional centralized methods have proven to be insufficient in maintaining privacy and addressing scalability issues. This paper presents a novel approach to enhancing mobile multimedia trustworthiness through the application of Federated AI-based content authentication techniques. By leveraging the benefits of distributed machine learning and edge computing, our proposed framework efficiently authenticates multimedia data while preserving user privacy and reducing latency. Our system employs a federated learning model that trains AI algorithms on local devices, allowing them to collaboratively build a robust and accurate authentication model. Additionally, this research introduces a blockchain-based decentralized trust management system to further enhance the integrity and traceability of the authentication process. Through extensive evaluations, this research demonstrate that our proposed framework significantly improves the trustworthiness of mobile multimedia content while minimizing the overhead and resource consumption associated with traditional centralized approaches.","PeriodicalId":38898,"journal":{"name":"Journal of Mobile Multimedia","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135767287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

High Simulation Scenario Simulation Teaching of Acute and Critical Care Based on Wise Information Technology of Med 基于医学智慧信息技术的急危重症高仿真场景模拟教学

Journal of Mobile Multimedia Pub Date : 2023-10-14 DOI: 10.13052/jmm1550-4646.1968

Chunmei Wang

{"title":"High Simulation Scenario Simulation Teaching of Acute and Critical Care Based on Wise Information Technology of Med","authors":"Chunmei Wang","doi":"10.13052/jmm1550-4646.1968","DOIUrl":"https://doi.org/10.13052/jmm1550-4646.1968","url":null,"abstract":"Acute and critical care nursing is a subject with high requirements covering common emergency and critical care theories, common first aid, and clinical practice in various clinical departments. It involves theoretical knowledge of various specialties and a number of nursing operations. With the continuous updating of equipment and knowledge related to acute and critical care nursing, this discipline has also developed rapidly. However, due to the increasing shortage of medical teaching resources, it cannot effectively meet the teaching needs. In order to alleviate this clinical teaching pressure, this paper introduces the wise information technology of med, Sim Man 3G, a high-simulation simulator, into the teaching of acute and critical care nursing. Using Sim Man 3G can not only adjust the difficulty of treatment according to the needs of teaching, but also break through the clinical limitations, so the operation is very practical. The study found that the use of Sim Man 3G high simulation manikin in acute and critical care nursing could effectively improve the accuracy of case analysis and practical operation, which also improved the efficiency of teaching. In acute and critical care nursing, the highest teaching efficiency of Sim Man 3G was 96%, and the average teaching efficiency was 93.2%. The highest general teaching efficiency was 92%, and the average teaching efficiency was 88.6%. The teaching efficiency of the experimental group was 4.6% higher than that of the common group on average, and the overall quality was also improved. This showed that it is relatively successful to use Sim Man 3G high-fidelity simulator in acute and critical care nursing.","PeriodicalId":38898,"journal":{"name":"Journal of Mobile Multimedia","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135767289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0