2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)最新文献_第7页

Utilizing Chest X-rays for Age Prediction and Gender Classification 利用胸部x光进行年龄预测和性别分类

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702796

Chris Solomou, D. Kazakov

{"title":"Utilizing Chest X-rays for Age Prediction and Gender Classification","authors":"Chris Solomou, D. Kazakov","doi":"10.1109/ISRITI54043.2021.9702796","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702796","url":null,"abstract":"In this paper we present a framework for automatically predicting the gender and age of a patient using chest x-rays (CXRs). The work of this paper derives from common situations in medical imaging where the gender/age of a patient might be missing or in situations where the x-ray is of poor quality, thus leaving the medical practitioner unable to treat the patient appropriately. The proposed framework comprises of training a large CNN which jointly outputs the gender/age of a CXR. For feature extraction, transfer learning was employed using the EfficientNetB0 architecture, with a custom trainable top layer for both classification and prediction. This framework was applied to a combination of publicly available data, which collectively represent a heterogeneous dataset showing a variation in terms of race, location, patient's health, and quality of image. Our results are robust with respect to these factors, as none of them was used as input to improve the results. In conclusion, Deep Learning can be implemented in the medical imaging domain for automatically predicting characteristics of a patient.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117070171","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

Study on Factors Affecting Purchase Intention of Indonesian Consumers on Instagram 影响印尼消费者在Instagram上购买意愿的因素研究

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702836

O. Supriadi, Bryna Meivitawanli, Hayati Binti Monong

引用次数: 0

Vessel Detection Based on Deep Learning Approach 基于深度学习方法的船舶检测

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702879

I. Priyanto, A. M. Arymurthy

引用次数: 1

HELIUS: A Blockchain Based Renewable Energy Trading System HELIUS:基于b区块链的可再生能源交易系统

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702767

Yash Gupta, Marko Javorac, Shaun Cyr, A. Yassine

引用次数: 0

Twitter Bot Account Detection Using Supervised Machine Learning 使用监督机器学习检测Twitter Bot帐户

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702789

Febriora Nevia Pramitha, R. B. Hadiprakoso, Nurul Qomariasih, Girinoto

{"title":"Twitter Bot Account Detection Using Supervised Machine Learning","authors":"Febriora Nevia Pramitha, R. B. Hadiprakoso, Nurul Qomariasih, Girinoto","doi":"10.1109/ISRITI54043.2021.9702789","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702789","url":null,"abstract":"Twitter is a primary social media platform gaining popularity among social networking websites at an alarming rate. Twitter's popularity and relatively open nature make it an excellent target for automated programs known as bots, which are computer programs that run automatically. In addition to spamming, bots can be used for various purposes, such as inducing conversations to change the topic of discussion, modifying user popularity, contaminating materials to spread misinformation, and conducting propaganda. This study's goal was to provide a fresh perspective on estimating the possibility of an account being identified as a bot by applying Machine Learning algorithms to a variety of scenarios. Both Random Forest and XGBoost algorithms are used in this application. The inquiry began with exploratory data analysis to determine the current status of the dataset. Next comes the process of model engineering, which involves the steps of requirement gathering and specification, feature selection and optimization, hyperparameter tweaking, and algorithm benchmarking. The findings of this investigation suggest that the XGBoost algorithm outperforms Random Forest, with an accuracy of 0.8908 for XGBoost and 0.8762 for Random Forest.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115784428","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

Classification of Speech Signal based on Feature Fusion in Time and Frequency Domain 基于时频域特征融合的语音信号分类

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702870

Domy Kristomo, Fx Henry Nugroho

{"title":"Classification of Speech Signal based on Feature Fusion in Time and Frequency Domain","authors":"Domy Kristomo, Fx Henry Nugroho","doi":"10.1109/ISRITI54043.2021.9702870","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702870","url":null,"abstract":"The design of a speech recognition system requires a reliable feature extraction process. It has an essential function since a good feature can help to improve the classification rate. Nowadays, the classification of stop consonant is a challenging task, due to the several factors that influence the accuracy of classification. Research that focuses on words formed by stop consonant syllables has not been widely studied by previous local researchers. Feature fusion is one way that can be done in improving the performance of the pattern recognition and classification system. In this paper, we propose three feature sets of the feature fusion by using Discrete Wavelet Transform (DWT) at 7th level decomposition with Daubechies2, Wavelet Packet Transform (WPT) at 4th level decomposition with Daubechies2, Autoregressive Power Spectral Density (AR-PSD), and Statistical method to classify stop consonant word speech signal. According to the experimental results, the classification accuracy for WPT + Statistical, DWT + Statistical, and AR-PSD + Statistical were 94.72%, 92.22%, and 76.38% respectively.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126518047","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

Eye Tracking and Head Movement-Orientation Solution Design To Perceive People's Mind While Seeing COVID-19 Advertisements 眼动追踪和头部运动定向解决方案设计，在观看COVID-19广告时感知人们的思想

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702852

M. S. Astriani, Lee Huey Yi, A. Kurniawan

引用次数: 0

Data Distribution Modelling in Supervised Learning Algorithm is for The classification of Prospective Recipient Candidate 监督学习算法中的数据分布建模是为了对潜在的接受者候选人进行分类

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702783

Nurfadila Utami, Mustakim

{"title":"Data Distribution Modelling in Supervised Learning Algorithm is for The classification of Prospective Recipient Candidate","authors":"Nurfadila Utami, Mustakim","doi":"10.1109/ISRITI54043.2021.9702783","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702783","url":null,"abstract":"Indonesia is a country with the largest Muslim population in the world. The number of practices of worship in Islam may affect several things. One of these practices is zakat. This is because zakat can help people with lower economic levels, even zakat has its role in reducing poverty. For this reason, zakat management is very important to be optimized. This research applies a classification to the data of prospective mustahik of BAZNAS Riau 2020. The purpose of this research was to find out the performance of classification algorithm in determining the feasibility of tithe recipient and to give the knowledge to the stakeholder in this case is BAZNAS Riau. The classification algorithms used are Probabilistic Neural Network (PNN), K-Nearest Neighbor (KNN), and Naive Bayes Classifier (NBC). The division of training and testing data is carried out using K-fold Cross-Validation and Hold out. The findings obtained are that the NBC algorithm has better performance with an accuracy of 97.12% based on the K-fold cross-validation division technique.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131851421","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

A Multi-channel Adaptive Equalization Method 一种多通道自适应均衡方法

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702798

Shanghui Xiao, Mengyao Zhang, Jian Liu, Qiang Xu, Wensheng Pan, Wanzhi Ma, Ying Liu, S. Shao

{"title":"A Multi-channel Adaptive Equalization Method","authors":"Shanghui Xiao, Mengyao Zhang, Jian Liu, Qiang Xu, Wensheng Pan, Wanzhi Ma, Ying Liu, S. Shao","doi":"10.1109/ISRITI54043.2021.9702798","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702798","url":null,"abstract":"In recent years, multiple-input multiple-output (MIMO) technology is widely used in wireless communication to make full use of space resources and improve the efficiency and quality of communication. However, due to the coupling effect of capacitance and inductance, the multi-channel transmission system often has the problem of crosstalk, which makes the communication quality degraded or even unable to communicate. Aiming to solve the problem of crosstalk, we proposes a multi-channel adaptive equalization method in this article. Based on solving the problems of channel multipath fading and inter-symbol crosstalk, this method further suppresses the coupling crosstalk between multiple channels. In this article, we demonstrates the rationality of the method through modeling of the transceiver system and formula derivation, we also verified the effectiveness of the method by the simulation processing of the measured data of the dual-polarized antenna. Simulations show that by training the equalizer with a reference signal, the EVM of the signal can be improved by about 15-20dB.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131978930","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

Analysis of Factors on Continuance Intention in Mobile Payment DANA Using Structural Equation Modeling 基于结构方程模型的移动支付续期意愿影响因素分析

2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI) Pub Date : 2021-12-16 DOI: 10.1109/ISRITI54043.2021.9702790

S. R. Natasia, M. G. L. Putra, Aidil Saputra Kirsan, R. Salsabila

{"title":"Analysis of Factors on Continuance Intention in Mobile Payment DANA Using Structural Equation Modeling","authors":"S. R. Natasia, M. G. L. Putra, Aidil Saputra Kirsan, R. Salsabila","doi":"10.1109/ISRITI54043.2021.9702790","DOIUrl":"https://doi.org/10.1109/ISRITI54043.2021.9702790","url":null,"abstract":"The increasing use of mobile payments in Indonesia has attracted many financial companies to make mobile payment services. This study uses the Structural Equation Modeling method to determine the relationship between mobility variables, customization, security, reputation, trust in the platform, and perceived risk that can affect the continuance intention of using the DANA application. Data was collected through the distribution of questionnaires with the coverage of the city of Balikpapan and got 415 respondents. After the analysis, it was found that trust is a factor that influences continuance intention. Four factors significantly affect trust: mobility, customization, security, and reputation. Where, mobility influences women's beliefs but does not significantly affect men. Customization has a greater influence on the beliefs of men than women. Security has a greater influence on women's trust than men. Reputation has a greater influence on men's trust than women. It can be concluded that trust has succeeded in being a mediator variable between mobility variables for women, customization, security, and reputation with continuance intention variables.","PeriodicalId":156265,"journal":{"name":"2021 4th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133750347","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