IAES International Journal of Artificial Intelligence最新文献_第4页

Cross-checked screening application for reliable categorisation of familial hypercholesterolaemia: design and development of the prototype 用于家族性高胆固醇血症可靠分类的交叉检查筛查应用：原型的设计和开发

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp704-713

M. M. Rosli, M. Annamalai, N. A. Mohd Kasim, C. Yung-An, H. Nawawi

{"title":"Cross-checked screening application for reliable categorisation of familial hypercholesterolaemia: design and development of the prototype","authors":"M. M. Rosli, M. Annamalai, N. A. Mohd Kasim, C. Yung-An, H. Nawawi","doi":"10.11591/ijai.v12.i2.pp704-713","DOIUrl":"https://doi.org/10.11591/ijai.v12.i2.pp704-713","url":null,"abstract":"The paper describes the development of a computer-based familial hypercholesterolemia (FH) screening application (FH CatScreen©). The application facilitates automatic scoring and categorisation of patients by medical practitioners based on four well-known FH diagnostic criteria. In the absence of a FH diagnostic criterion for Malaysian population, these four diagnostic criteria are commonly used criteria to classify patients FH severity levels to manage early interventions. We applied an adaptive software development approach comprising planning, development and validation phases to develop FH CatScreen©. A user study involving thirty medical practitioners was conducted to evaluate the effectiveness and usability of FH CatScreen©. The study showed that FH CatScreen© was able to provide a more correct, faster and better-informed assessment compared to the traditional paper-based method. The study further showed that FH CatScreen© has a good degree of performance and acceptance by the participants. The participants indicated that the simultaneous use of the four diagnostic criteria in FH CatScreen© has assisted them to compare the outcomes of each of the criterion side-by-side. It allowed them to decide on the severity of patient condition with high confidence. FH CatScreen© has demonstrated its expediency and efficacy in collecting the data on FH incidence and prevalence in Malaysia.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48208541","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 based object detection in nailfold capillary images 基于深度学习的甲襞毛细血管图像目标检测

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp931-942

Suma Kuncha Venkatapathiah, Sethu Selvi Selvan, P. Nanda, Manisha Shetty, Vikas Mallikarjuna Swamy, Kushagra Awasthi

{"title":"Deep learning based object detection in nailfold capillary images","authors":"Suma Kuncha Venkatapathiah, Sethu Selvi Selvan, P. Nanda, Manisha Shetty, Vikas Mallikarjuna Swamy, Kushagra Awasthi","doi":"10.11591/ijai.v12.i2.pp931-942","DOIUrl":"https://doi.org/10.11591/ijai.v12.i2.pp931-942","url":null,"abstract":"Microcirculation in a subject can be examined and pathological changes can be assessed by utilizing capillaroscopy, which is a very safe, convenient and non-invasive approach. Using a microscope, doctors view the capillaries by looking through nailfold epidermis. Nailfold anatomy is ideal to evaluate the microcirculation and detect various diseases caused by vascular damages. Rheumatologists evaluate systemic diseases which involve damage in vasculature, by analyzing the red blood cells within the capillaries. Sometimes, capillary morphology may be useful as an early indicator while, severity of damage in capillary architecture may indicate internal organ involvement. Thus, in a capillaroscopic assessment, the doctor examines modifications in morphological and functional aspects of capillaries. These comprise of capillary diameter, visibility, distribution, length, microhemorrhages, blood flow and density. In this paper, a novel object detection algorithm is proposed based on deep learning architectures for detecting and locating various capillary loops in the nailfold region. Various characteristic features are extracted from the capillaries through image processing algorithms and in turn an attempt is made to differentiate between images of diseased subjects and healthy controls.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46736634","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: 2

Evaluation of massive multiple-input multiple-output communication performance under a proposed improved minimum mean squared error precoding 基于改进的最小均方误差预编码的海量多输入多输出通信性能评价

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp984-994

D. Kadhim, M. Saleh, S. Abou-Loukh

{"title":"Evaluation of massive multiple-input multiple-output communication performance under a proposed improved minimum mean squared error precoding","authors":"D. Kadhim, M. Saleh, S. Abou-Loukh","doi":"10.11591/ijai.v12.i2.pp984-994","DOIUrl":"https://doi.org/10.11591/ijai.v12.i2.pp984-994","url":null,"abstract":"The fundamental of a downlink massive multiple-input multiple-output (MIMO) energy- issue efficiency strategy is known as minimum mean squared error (MMSE) implementation degrades the performance of a downlink massive MIMO energy-efficiency scheme, so some improvements are adding for this precoding scheme to improve its workthat is called our proposal solution as a proposed improved MMSE precoder (PIMP). The energy efficiency (EE) study has also taken into mind drastically lowering radiated power while maintaining high throughput and minimizing interference issues. We further find the tradeoff between spectral efficiency (SE) and EE although they coincide at the beginning but later their interests become conflicting and divergent then leading EE to decrease so gradually while SE continues increasing logarithmically. The results achieved that for a single-cellular massive MU-MIMO downlink model, our PIMP scheme is the appropriate scenario to achieve higher precoding performance system. Furthermore, both maximum ratio transmission (MRT) and PIMP are suitable for performance improvement in massive MIMO results of EE and SE. So, the main contribution comes with this work that highest EE and SE are belong to use a PIMP which performs better appreciably than MRT at bigger ratio of number of antennas to the number of the users. ","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42920102","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: 1

Neural network-based pH and coagulation adjustment system in water treatment 基于神经网络的水处理pH和混凝调节系统

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp560-567

Oscar Ivan Vargas Mora, Daiam Camilo Parrado Nieto, Jairo David Cuero Ortega, Javier Eduardo Martinez Baquero, Robinson Jimenez Moreno

引用次数: 0

A high frame-rate of cell-based histogram-oriented gradients human detector architecture implemented in field programmable gate arrays 一种在现场可编程门阵列中实现的基于单元直方图的高帧率梯度人体探测器结构

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp714-730

S. Fuada, T. Adiono, Hans Kasan

{"title":"A high frame-rate of cell-based histogram-oriented gradients human detector architecture implemented in field programmable gate arrays","authors":"S. Fuada, T. Adiono, Hans Kasan","doi":"10.11591/ijai.v12.i2.pp714-730","DOIUrl":"https://doi.org/10.11591/ijai.v12.i2.pp714-730","url":null,"abstract":"In respect of the accuracy, one of the well-known techniques for human detection is the histogram-oriented gradients (HOG) method. Unfortunately, the HOG feature calculation is highly complex and computationally intensive. Thus, in this research, we aim to achieve a resource-efficient and low-power HOG hardware architecture while maintaining its high frame-rate performance for real-time processing. A hardware architecture for human detection in 2D images using simplified HOG algorithm was introduced in this paper. To increase the frame-rate, we simplify the HOG computation while maintaining the detection quality. In the hardware architecture, we design a cell-based processing method instead of a window-based method. Moreover, 64 parallel and pipeline architectures were used to increase the processing speed. Our pipeline architecture can significantly reduce memory bandwidth and avoid any external memory utilization. an altera field programmable gate arrays (FPGA) E2-115 was employed to evaluate the design. The evaluation results show that our design achieves performance up to 86.51 frame rate per second (Fps) with a relatively low operating frequency (27 MHz). It consumes 48,360 logic elements (LEs) and 4,363 registers. The performance test results reveal that the proposed solution exhibits a trade-off between Fps, clock frequency, the use of registers, and Fps-to-clock ratio.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44156781","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

Information system based on multi-value classification of fully connected neural network for construction management 基于多值分类全连接神经网络的施工管理信息系统

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp593-601

Tetyana Honcharenko, Roman Akselrod, Andrii Shpakov, Oleksandr Khomenko

{"title":"Information system based on multi-value classification of fully connected neural network for construction management","authors":"Tetyana Honcharenko, Roman Akselrod, Andrii Shpakov, Oleksandr Khomenko","doi":"10.11591/ijai.v12.i2.pp593-601","DOIUrl":"https://doi.org/10.11591/ijai.v12.i2.pp593-601","url":null,"abstract":"This study is devoted to solving the problem to determine the professional adaptive capabilities of construction management staff using artificial intelligence systems. It is proposed fully connected feed-forward neural network (FCF-FNN) architecture and performed empirical modeling to create a data set. Model of artificial intelligence system allows evaluating the processes in an FCF-FNN during the execution of multi-value classification of professional areas. A method has been developed for the training process of a machine learning model, which reflects the internal connections between the components of an artificial intelligence system that allow it to “learn” from training data. To train the neural network, a data set of 35 input parameters and 29 output parameters was used; the amount of data in the set is 936 data lines. Neural network training occurred in the proportion of 10% and 90%, respectively. Results of this study research can be used to further improve the knowledge and skills necessary for successful professional realization.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136370903","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: 1

Effect of word embedding vector dimensionality on sentiment analysis through short and long texts 词嵌入向量维数对短文本和长文情感分析的影响

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp823-830

Mohamed Chiny, Marouane Chihab, Abdelkarim Ait Lahcen, Omar Bencharef, Younes Chihab

引用次数: 0

Robustness enhancement study of augmented positive identification controller by a sigmoid function 用s型函数增强增广正辨识控制器的鲁棒性研究

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp686-695

Abbas H. Issa, Sarab A. Mahmood, Abdulrahim T. Humod, Nihad M. Ameen

引用次数: 1

Insights on assessing image processing approaches towards health status of plant leaf using machine learning 利用机器学习评估植物叶片健康状况的图像处理方法的见解

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp884-891

Harsha Raju, Veena Kalludi Narasimhaiah

引用次数: 1

Automated invoice data extraction using image processing 自动发票数据提取使用图像处理

IAES International Journal of Artificial Intelligence Pub Date : 2023-06-01 DOI: 10.11591/ijai.v12.i2.pp514-521

A. A. Manjunath, Manjunath Sudhakar Nayak, Santhanam Nishith, Satish Nitin Pandit, Shreyas Sunkad, Pratiba Deenadhayalan, Shobha Gangadhara

{"title":"Automated invoice data extraction using image processing","authors":"A. A. Manjunath, Manjunath Sudhakar Nayak, Santhanam Nishith, Satish Nitin Pandit, Shreyas Sunkad, Pratiba Deenadhayalan, Shobha Gangadhara","doi":"10.11591/ijai.v12.i2.pp514-521","DOIUrl":"https://doi.org/10.11591/ijai.v12.i2.pp514-521","url":null,"abstract":"Manually processing invoices which are in the form of scanned photocopies is a time-consuming process. There is a need to automate the task of extraction of data from the invoices with a similar format. In this paper we investigate and analyse various techniques of image processing and text extraction to improve the results of the optical character recognition (OCR) engine, which is applied to extract the text from the invoice. This paper also proposes the design and implementation of a web enabled invoice processing system (IPS). The IPS consists of an annotation tool and an extraction tool. The annotation tool is used to mark the fields of interest in the invoice which are to be extracted. The extraction tool makes use of opensource computer vision library (OpenCV) algorithms to detect text. The proposed system was tested on more than 25 types of invoices with the average accuracy score lying between 85% and 95%. Finally, to provide ease of use, a web application is developed which also presents the results in a structured format. The entire system is designed so as to provide flexibility and automate the process of extracting details of interest from the invoices.","PeriodicalId":52221,"journal":{"name":"IAES International Journal of Artificial Intelligence","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45047842","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