Journal of Intelligent Systems and Internet of Things最新文献_第2页

Intelligent Load Identification of Household-Smart Meters Using Multilevel Decision Tree and Data Fusion Techniques 基于多层决策树和数据融合技术的家用智能电表智能负荷识别

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.090102

M. H. Aldulaimi, Ibrahim Najem, Tabarak Ali Abdulhussein, M. H. Ali, Asaad Shakir Hameed, M. Altaee, Hatira Gunerhan

引用次数: 0

Intelligent Web Information Extraction Model for Agricultural Product Quality and Safety System 面向农产品质量安全系统的智能Web信息提取模型

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.040203

M. Tofigh, Zhendong Mu

{"title":"Intelligent Web Information Extraction Model for Agricultural Product Quality and Safety System","authors":"M. Tofigh, Zhendong Mu","doi":"10.54216/jisiot.040203","DOIUrl":"https://doi.org/10.54216/jisiot.040203","url":null,"abstract":"With the development of society, people pay more and more attention to the safety of food, and relevant laws and policies are gradually introduced and being improved. The research and development of agricultural product quality and safety system has become a research hot spot, and how to obtain the Web information of the system effectively and quickly is the focus of the research, so it is essential to carry out the intelligent extraction of Web information for agricultural product quality and safety system. The purpose of this paper is to solve the problem of how to efficiently extract the Web information of the agricultural product quality and safety system. By studying the Web information extraction methods of various systems, the paper makes a detailed analysis and research on how to realize the efficient and intelligent extraction of the Web information of the agricultural product quality and safety system. This paper analyzes in detail all kinds of template information extraction algorithms used at present, and systematically discusses a set of schemes that can automatically extract the Web information of agricultural product quality and safety system according to the template. The research results show that the proposed scheme is a dynamically extensible information extraction system, which can independently implement dynamic configuration templates according to different requirements without changing the code. Compared with the general way, the Web information extraction speed of agricultural product quality safety system is increased by 25%, the accuracy is increased by 12%, and the recall rate is increased by 30%.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134290664","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: 4

An Intelligent Bankruptcy Prediction Model based on an Enhanced Sparrow Search Algorithm 基于增强型麻雀搜索算法的破产智能预测模型

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.060101

A. Shehab, Mahmood E. Mahmood

{"title":"An Intelligent Bankruptcy Prediction Model based on an Enhanced Sparrow Search Algorithm","authors":"A. Shehab, Mahmood E. Mahmood","doi":"10.54216/jisiot.060101","DOIUrl":"https://doi.org/10.54216/jisiot.060101","url":null,"abstract":"Bankruptcy detection becomes one of the major subjects in finance. Indeed, for apparent reasons, several actors like shareholders or managers show more attention to the possibility of a firm’s bankruptcy. Subsequently, various researches are being conducted on the matter of bankruptcy prediction. Recently numerous research works have explored the application of machine learning (ML) techniques to bankruptcy prediction by having financial ratios as predictors. This article devises an Enhanced Sparrow Search Optimization with Deep Learning Enabled Bankruptcy Prediction (ESSODL-BP) model. The proposed ESSODL-BP technique involves the forecasting of the bankruptcy of a financial firm. To accomplish this, the ESSODL-BP technique primarily follows the Z-score normalization approach. Followed by, the bidirectional long short-term memory (BLSTM) model is designed to predict the bankruptcy status of a financial firm. Then, the ESSO algorithm is utilized for optimally tuning the hyperparameters related to the BLSTM model and also boosts the prediction performance to a maximum extent. The performance validation of the ESSODL-BP technique is tested using a benchmark dataset. The experimental outcomes reported better performance of the ESSODL-BP technique over other approaches.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131771749","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

Pollution Reduction using Intelligent Warning Messages in VANET 利用VANET的智能预警讯息减少污染

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.030202

Esraa Al-Ezaly, Ahmed Abo-Elfetoh and Sara Elhishi

引用次数: 2

Intelligent Learning System to Help People with Color Impairment Using Image Processing Algorithms 利用图像处理算法帮助色障人士的智能学习系统

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.070206

R. Ibrahim, A. E. E. E. Alfi, A. A. Abdallah

{"title":"Intelligent Learning System to Help People with Color Impairment Using Image Processing Algorithms","authors":"R. Ibrahim, A. E. E. E. Alfi, A. A. Abdallah","doi":"10.54216/jisiot.070206","DOIUrl":"https://doi.org/10.54216/jisiot.070206","url":null,"abstract":"This study presents a novel framework to help people with color impairment in identifying colors. The proposed framework consists of three stages. These stages are electronically performing the Ishihara test, performing the color blindness type recognition test, and guiding the person to color by voice. The first stage, the person is subjected to an electronic color blindness test, by displaying different plates containing several points of different sizes and colors. The person is required to correctly identify the number or shape in the plate and at the end, the system determines the extent to which a person is color blind. The second stage is a color recognition test to determine the type of color blindness. If there is difficulty in determining red, this is called protanopia. But the difficulty in identifying the green color is called deuteranopia. While the inability to recognize the blue color is called tritanopia. And finally, the difficulty in identifying the colored style is called achromatopsia. The third stage is assistance phase and is divided into three subsectors are: smart educational system, identifying colors and extracting the content. The proposed system differs from other systems in that it is an integrated system. It includes identifying color blindness, determining its type, and finally aiding color blindness person. Also, it is the first system that deals with the rare type of color blindness called achromatopsia in addition to its other three types. The results obtained confirmed that the proposed system as well as the smart educational system are characterized by high accuracy and effectiveness.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132163046","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

A Novel Approach for Enhance Fusion Based Healthcare System In Cloud Computing 云计算中增强融合医疗系统的新方法

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.090106

S. Praveen, B. Thati, Chokka Anuradha, S. Sindhura, M. Altaee, M. A. Jalil

{"title":"A Novel Approach for Enhance Fusion Based Healthcare System In Cloud Computing","authors":"S. Praveen, B. Thati, Chokka Anuradha, S. Sindhura, M. Altaee, M. A. Jalil","doi":"10.54216/jisiot.090106","DOIUrl":"https://doi.org/10.54216/jisiot.090106","url":null,"abstract":"Individuals start - ups and large corporations in the healthcare sector have new opportunities to outsource data and outsourcing computation offers to cloud computing. Although the cloud computing paradigm presents users with interesting and cost effective opportunities still in its early stage, and using the cloud introduces with new obstacles. A another issue is the security of cloud data, which may be affected the data particularly in the case of healthcare systems that store and process sensitive data and is outsourced to a cloud computing system.Although there has been significant progress in the development of health services there are still issues that need to be settled regarding, integrity, the security, large-scale deployment, service integration, confidentiality of sensitive medical data. To ensure that sensitive medical data is captured, stored and consumed securely, an information sharing policy syntax based on rules, the Data Capture and Auto Identification Reference (DACAR) platform features a Single Point of Contact as well as data buckets that are hosted on a cost-effective cloud infrastructure and scalable.As a result, security, accuracy, and precision are achieved in this analysis and query time is reduced.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133731955","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

Intelligent Energy Management System for Sustainable Smart Homes 可持续智能家居的智能能源管理系统

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.030204

Mahmoud M. Ismail, Shereen .., H. Rashad

引用次数: 0

ECG signal monitoring based on Covid-19 patients: Overview 基于Covid-19患者的心电信号监测:综述

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.020202

Amine Saddik *, Rachid Latif and Abdoullah Bella

引用次数: 7

MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies MSJEP分类器:“修改的强跳跃新兴模式”，用于快速有效的挖掘和处理其值与分类法相关联的属性

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.000201

M. K. Hassan, Ahmed K. Hassan, A. Eldesouky

{"title":"MSJEP Classifier: “Modified Strong Jumping Emerging Patterns” for Fast Efficient Mining and for handling attributes whose values are associated with taxonomies","authors":"M. K. Hassan, Ahmed K. Hassan, A. Eldesouky","doi":"10.54216/jisiot.000201","DOIUrl":"https://doi.org/10.54216/jisiot.000201","url":null,"abstract":"Modified Strong Jumping Emerging Patterns (MSJEPs) are those itemsets whose support increases from zero in one data set to non-zero in the other dataset with support constraints greater than the minimum support threshold (ζ). The support constraint of MSJEP removes potentially less useful JEPs while retaining those with high discriminating power. Contrast Pattern (CP)-tree-based discovery algorithm used for SJEP mining is a main-memory-based method. When the data set is large, it is unrealistic to assume that the CP-tree can fit in the main memory. The main idea to handle this problem is to first partition the data set into a set of projected data sets and then for each projected data set, we construct and mine its corresponding CP-tree. Trees of the projected data sets are called Separated Contrast Pattern Tree “SCP-trees” and Patterns generated from it are Called MSJEPs” Modified Strong Jumping Emerging Patterns”. Our proposal also investigates the weakness of emerging patterns in handling attributes whose values are associated with taxonomies and proposes using an MSJEP classifier to achieve better accuracy, better speed, and also handling attributes in taxonomy.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129019530","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: 6

Intelligent Wheat Types Classification Model Using New Voting Classifier 基于投票分类器的小麦类型智能分类模型

Journal of Intelligent Systems and Internet of Things Pub Date : 1900-01-01 DOI: 10.54216/jisiot.070103

Abdelaziz A. Abdelhamid, E. El-Kenawy, A. Ibrahim, M. Eid

{"title":"Intelligent Wheat Types Classification Model Using New Voting Classifier","authors":"Abdelaziz A. Abdelhamid, E. El-Kenawy, A. Ibrahim, M. Eid","doi":"10.54216/jisiot.070103","DOIUrl":"https://doi.org/10.54216/jisiot.070103","url":null,"abstract":"When assessing the quality of the grain supply chain's quality, it is essential to identify and authenticate wheat types, as this is where the process begins with the examination of seeds. Manual inspection by eye is used for both grain identification and confirmation. High-speed, low-effort options became available thanks to automatic classification methods based on machine learning and computer vision. To this day, classifying at the varietal level is still challenging. Classification of wheat seeds was performed using machine learning techniques in this work. Wheat area, wheat perimeter, compactness, kernel length, kernel width, asymmetry coefficient, and kernel groove length are the 7 physical parameters used to categorize the seeds. The dataset includes 210 separate instances of wheat kernels, and was compiled from the UCI library. The 70 components of the dataset were selected randomly and included wheat kernels from three different varieties: Kama, Rosa, and Canadian. In the first stage, we use single machine learning models for classification, including multilayer neural networks, decision trees, and support vector machines. Each algorithm's output is measured against that of the machine learning ensemble method, which is optimized using the whale optimization and stochastic fractal search algorithms. In the end, the findings show that the proposed optimized ensemble is achieving promising results when compared to single machine learning models.","PeriodicalId":122556,"journal":{"name":"Journal of Intelligent Systems and Internet of Things","volume":"733 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122976526","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