International Journal of Computer Applications Technology and Researc最新文献

SAR Image Change Detection Based on Multi-scale Feature Extraction 基于多尺度特征提取的SAR图像变化检测

International Journal of Computer Applications Technology and Researc Pub Date : 2021-04-01 DOI: 10.7753/IJCATR1004.1002

Xiao-Hong Yuan, Chao Chen, Shan Tian, Jiandan Zhong

引用次数: 0

4G LTE Network Coverage Optimization Using Metaheuristic Approach 基于元启发式方法的4G LTE网络覆盖优化

International Journal of Computer Applications Technology and Researc Pub Date : 2021-01-01 DOI: 10.7753/ijcatr1001.1003

Z. Alfarhisi, H. Suyono, Fakhriy Hario Partiansyah

{"title":"4G LTE Network Coverage Optimization Using Metaheuristic Approach","authors":"Z. Alfarhisi, H. Suyono, Fakhriy Hario Partiansyah","doi":"10.7753/ijcatr1001.1003","DOIUrl":"https://doi.org/10.7753/ijcatr1001.1003","url":null,"abstract":"The main focus of this paper is to optimize the coverage of each 4G LTE network cell within the service area. There are many algorithms can be implemented to determine the optimal 4G LTE coverage area including the deterministic and heuristic approaches. The deterministic approach could solve accurately the optimization problem but need more resources and time consuming to determine the convergence parameters. Therefore, the heuristic approaches were introduced to improve the deterministic approach drawback. The methods used are the Differential Evolution Algorithm (DEA) and Adaptive Mutation Genetic Algorithm (AMGA), which are categorized as metaheuristic approach. The DEA and AMGA algorithms have been widely used to solve combinatorial problems, including for solving the network optimizations. In the network optimization, coverage is strongly related to 2 objectives, which are reducing the black spot area and decreasing the overlapping coverage areas. Coverage overlap is a condition when some cell sites in an area overlap. It implies in the occurrence of hand off and an inefficient network management. This research aims to obtain an optimal 4G LTE network coverage and reduce the overlapping coverage areas based on effective e-Node B arrangements by using the DEA and AMGA algorithms. The simulations results showed that the DEA algorithm’s coverage effectiveness was 23,4%, and the AMGA Algorithm’s was 16,32%.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115926478","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

Product Ownership Management System (POMS) in the Post Supply Chain Using BlockChain 使用区块链的后供应链产品所有权管理系统(POMS)

International Journal of Computer Applications Technology and Researc Pub Date : 2021-01-01 DOI: 10.7753/ijcatr1001.1002

Hanmant D Magar, Sandip Mane

引用次数: 1

Research on Online Insulation Testing of Power Battery of New Energy Vehicles 新能源汽车动力电池在线绝缘测试研究

International Journal of Computer Applications Technology and Researc Pub Date : 2021-01-01 DOI: 10.7753/ijcatr1001.1001

Yuan Xu, Huazhang Wang, Jiacheng Li

引用次数: 1

Analyzing Brain Activities in Response To Music and Video Stimulants 分析大脑活动对音乐和视频刺激的反应

International Journal of Computer Applications Technology and Researc Pub Date : 2021-01-01 DOI: 10.7753/ijcatr1001.1004

Mohamed Fakhredine, Zahra Jaish, Houssein Ibrahim

{"title":"Analyzing Brain Activities in Response To Music and Video Stimulants","authors":"Mohamed Fakhredine, Zahra Jaish, Houssein Ibrahim","doi":"10.7753/ijcatr1001.1004","DOIUrl":"https://doi.org/10.7753/ijcatr1001.1004","url":null,"abstract":"Studying the effects of different stimulants on the brain is an ongoing research aiming to discover the activities and reactions of the brain. In this sake, we propose a study to show the impact of external stimuli on the human brain. The implementation includes 50 subjects exposed to four various stimuli while recording EEG. First, a control experiment is done where EEG is recorded in the absence of any stimulation. Then, EEG is recorded while the subjects are watching two consecutive sections from nature and violence videos, listening to sections of classical music and then heavy music. The recorded signals are analysed through EEGLAB. The power spectral densities are computed and an analysed. The results showed a decrease in alpha absolute power was observed in 68.1% subjects when watching the nature movie, and in 72.34% subjects when watching the violence video. An increase in alpha and beta absolute power was detected in 70.45% of subjects when listening to the heavy music. Relative power spectral density showed a significant increase of delta rhythm upon watching the video of natural scenes, and a significant increase of alpha rhythm when listening to classical music. ANOVA test is also used to verify if any effect of the stimuli can be observed on each frequency bands. The results showed that the delta rhythm’s highest values were obtained in reaction to the natural scenes video and that there is a significant relationship between alpha rhythms and the stimulus due to Classical music.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127960757","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

Food Ordering Application with Scheduling Feature Based on Mobile Web (Pasti Makan) 基于移动Web的具有调度功能的订餐应用(帕斯提Makan)

International Journal of Computer Applications Technology and Researc Pub Date : 2020-07-23 DOI: 10.7753/ijcatr0908.1002

I Gusti Bagus JB Surya Bhuana, I. N. Piarsa, I. Sukarsa

引用次数: 0

Denoising Algorithm for Medical Ultrasound Image Based on 2D-VDM and PM 基于2D-VDM和PM的医学超声图像去噪算法

International Journal of Computer Applications Technology and Researc Pub Date : 2020-05-26 DOI: 10.7753/ijcatr0906.1001

M.X.H. Yan, Chen Wen

引用次数: 0

Pneumonia Detection using X-Ray Images with Deep Learning 基于深度学习的x射线图像肺炎检测

International Journal of Computer Applications Technology and Researc Pub Date : 2020-05-12 DOI: 10.7753/ijcatr0905.1004

Hanumant Magar, Sanket Patil, Sahil R Waykole, Satyam D Sandikar, Nikhil D Parakh

{"title":"Pneumonia Detection using X-Ray Images with Deep Learning","authors":"Hanumant Magar, Sanket Patil, Sahil R Waykole, Satyam D Sandikar, Nikhil D Parakh","doi":"10.7753/ijcatr0905.1004","DOIUrl":"https://doi.org/10.7753/ijcatr0905.1004","url":null,"abstract":": This study proposes a Convolutional neural network model trained from scratch to classify and detect the presence of pneumonia from a collection of chest X-ray image samples. Unlike other methods that rely solely on transfer learning approaches or traditional handcrafted techniques to achieve a remarkable classification performance, we constructed a Convolutional neural network model from scratch to extract features from a given chest X- ray image and classify it to determine if a person is infected with pneumonia. This model could help mitigate the reliability and interpretability challenges often faced when dealing with medical imagery. Unlike other deep learning classification tasks with sufficient image repository, it is difficult to obtain a large amount of pneumonia dataset for this classification task; therefore, we deployed several data augmentation algorithms to improve the validation and classification accuracy of the CNN model and achieved remarkable validation accuracy. Our classification method uses convolutional neural networks for classifying the images and early diagnosis of Pneumonia. Our findings yield an accuracy of 85.73%, surpassing the previously top scoring accuracy of 78.73%.","PeriodicalId":249196,"journal":{"name":"International Journal of Computer Applications Technology and Researc","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116339598","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

Assessment of Evidence Based Research on Internet Freedoms in Africa 非洲互联网自由实证研究评估

International Journal of Computer Applications Technology and Researc Pub Date : 2020-05-11 DOI: 10.7753/ijcatr0905.1003

Duncan Nyale

引用次数: 0

War against Coronavirus (COVID – 19) in Tanzania: Designing a Low Cost Automatic Water Tap 坦桑尼亚对抗冠状病毒(COVID - 19)的战争:设计低成本自动水龙头

International Journal of Computer Applications Technology and Researc Pub Date : 2020-04-01 DOI: 10.7753/ijcatr0904.1005

H. Wanga, Thobius Joseph, Mauna Belius Chuma

引用次数: 6