Science in Information Technology Letters最新文献_第2页

Developing an integrated business model in the manufacturing industry – An AHP approach 在制造业中建立一个集成的商业模式——AHP方法

Science in Information Technology Letters Pub Date : 2022-03-04 DOI: 10.31763/sitech.v2i1.611

G. Chien, F. Chan

{"title":"Developing an integrated business model in the manufacturing industry – An AHP approach","authors":"G. Chien, F. Chan","doi":"10.31763/sitech.v2i1.611","DOIUrl":"https://doi.org/10.31763/sitech.v2i1.611","url":null,"abstract":"Due to the market competition in the current business environment, there are many pressures in the Small and Medium-sized Enterprise (SME) manufacturers. Most SMEs are facing challenges in the market change from Mass Production (MP) to Mass Customization (MC). The purpose of this study is mainly based on drilling down into an SME manufacturer, exploring the limitation in its current business model and determining the boundaries of its operation process. This research paper designs an Analytical Hierarchy Process (AHP) model to develop a new business model to resolve the MC issue in the SME manufacturers. The aims of the new business model should be to improve company profit. Thereby seven criteria in the AHP model are profit, Minimum Order Quantity (MOQ), flexibility, inventory control, delivery time, revenue from existing customers and revenue from new customers for customized products. The methodology is pilot-run the new business model and compares the results among the AHP, current and new business models. The results prove that the new business model not only solves the problems in MC but also create a synergic effect on the business. The study provides a method that uses an AHP model for developing an integrated business model for SME manufacturers.","PeriodicalId":123344,"journal":{"name":"Science in Information Technology Letters","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133195128","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 Fundamental Overview of SOTA-Ensemble Learning Methods for Deep Learning: A Systematic Literature Review 深度学习SOTA-Ensemble学习方法的基本概述:系统的文献综述

Science in Information Technology Letters Pub Date : 2021-12-30 DOI: 10.31763/sitech.v2i2.549

Marco Klaiber

{"title":"A Fundamental Overview of SOTA-Ensemble Learning Methods for Deep Learning: A Systematic Literature Review","authors":"Marco Klaiber","doi":"10.31763/sitech.v2i2.549","DOIUrl":"https://doi.org/10.31763/sitech.v2i2.549","url":null,"abstract":"The rapid growth in popularity of Deep Learning (DL) continues to bring more use cases and opportunities, with methods rapidly evolving and new fields developing from the convergence of different algorithms. For this systematic literature review, we considered the most relevant peer-reviewed journals and conference papers on the state of the art of various Ensemble Learning (EL) methods for application in DL, which are also expected to give rise to new ones in combination. The EL methods relevant to this work are described in detail and the respective popular combination strategies as well as the individual tuning and averaging procedures are presented. A comprehensive overview of the various limitations of EL is then provided, culminating in the final formulation of research gaps for future scholarly work on the results, which is the goal of this thesis. This work fills the research gap for upcoming work in EL for by proving in detail and making accessible the fundamental properties of the chosen methods, which will further deepen the understanding of the complex topic in the future and, following the maxim of ensemble learning, should enable better results through an ensemble of knowledge in the future.","PeriodicalId":123344,"journal":{"name":"Science in Information Technology Letters","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115618437","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: 3

Artificial Intelligence for Thyroid Disorders: A Systematic Review 人工智能治疗甲状腺疾病:系统综述

Science in Information Technology Letters Pub Date : 2021-11-30 DOI: 10.31763/sitech.v2i2.694

Rosyid Ridlo Al Hakim, M. H. Satria, Y. Arief, Antonius Darma Setiawan, A. Pangestu, H. Hidayah

{"title":"Artificial Intelligence for Thyroid Disorders: A Systematic Review","authors":"Rosyid Ridlo Al Hakim, M. H. Satria, Y. Arief, Antonius Darma Setiawan, A. Pangestu, H. Hidayah","doi":"10.31763/sitech.v2i2.694","DOIUrl":"https://doi.org/10.31763/sitech.v2i2.694","url":null,"abstract":"The thyroid gland plays a very important role in hormonal regulation in the human body. If the thyroid gland has a disorder, it can affect the performance of body functions. The development of artificial intelligence technology today allows an expert such as a doctor to be helped by his work. One of the important roles of artificial intelligence is helping doctors, among others, to diagnose a patient to determine appropriate post-diagnosis care. The study aims to shed light on the role of artificial intelligence in the treatment of thyroid disorders.The thyroid gland plays a very important role in hormonal regulation in the human body. If the thyroid gland has a disorder, it can affect the performance of body functions. The development of artificial intelligence technology today allows an expert such as a doctor to be helped by his work. One of the important roles of artificial intelligence is helping doctors, among others, to diagnose a patient to determine appropriate post-diagnosis care. The study aims to shed light on the role of artificial intelligence in the treatment of thyroid disorders.","PeriodicalId":123344,"journal":{"name":"Science in Information Technology Letters","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128771719","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

The hybrid metaheuristic scheduling model for garment manufacturing on-demand 服装按需生产混合元启发式调度模型

Science in Information Technology Letters Pub Date : 2021-11-30 DOI: 10.31763/sitech.v2i2.504

Мoch Sаiful Umam

引用次数: 0

Water quality identification based on remote sensing image in industrial waste disposal using convolutional neural networks 基于卷积神经网络的工业废水处理遥感水质识别

Science in Information Technology Letters Pub Date : 2021-11-30 DOI: 10.31763/sitech.v2i2.638

Prasetya Widiharso, Wahyu Tri Handoko, A. Wibawa, A. N. Handayani, M. Teng

引用次数: 0

Forecasting electrical power consumption using ARIMA method based on kWh of sold energy 基于售出电量千瓦时的ARIMA方法预测用电量

Science in Information Technology Letters Pub Date : 2021-05-31 DOI: 10.31763/sitech.v2i1.637

Gianika Roman Sosa, Moh. Zainul Falah, Dika Fikri L, A. Wibawa, A. N. Handayani, J. Hammad

引用次数: 0

Knowledge representation of drug using ontology alignment and mapping techniques 基于本体对齐和映射技术的药物知识表示

Science in Information Technology Letters Pub Date : 2021-05-31 DOI: 10.31763/sitech.v2i1.561

H. Jayadianti, Alisya Amalia Putri Hasanah, Yulianti Fauziah, S. Saifullah

引用次数: 0

Image processing for student emotion monitoring based on fisherface method 基于鱼脸法的学生情绪监测图像处理

Science in Information Technology Letters Pub Date : 2021-05-31 DOI: 10.31763/sitech.v2i1.690

A. H. Pratomo, Mangaras Yanu Florestyanto, Y. I. Sania, B. Ihsan, H. H. Triharminto, Leonel Hernandez

{"title":"Image processing for student emotion monitoring based on fisherface method","authors":"A. H. Pratomo, Mangaras Yanu Florestyanto, Y. I. Sania, B. Ihsan, H. H. Triharminto, Leonel Hernandez","doi":"10.31763/sitech.v2i1.690","DOIUrl":"https://doi.org/10.31763/sitech.v2i1.690","url":null,"abstract":"Monitoring academic emotion is an activity to provide information from students' academic emotions in the class continuously. Some research in the image processing field had done for face recognition but had not been many studies on image processing to detect student emotions. This paper aims to determine the percentage of facial recognition with fisherface and academic emotional recognition by monitoring changes in students' facial expressions using facial landmarks in various distances, camera angles, light, and attributes used on objects. The proposed method uses facial image extraction based on fisherface method for presence. Furthermore, face identification will be made with Euclidean distance by finding the smallest length of training data with test data. Emotion detection is done by facial landmarks and mathematical calculations to detect drowsiness, focus, and not focus on the face. Restful web service is used as a communication architecture to integrate data. The success rate of applications with the fisherface method obtains 96% percent accuracy of face recognition. Meanwhile, facial landmarks and mathematical calculations are used to detect emotions, with 84 %.","PeriodicalId":123344,"journal":{"name":"Science in Information Technology Letters","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123019814","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

Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19 胸部CT扫描中病灶区域的检测与分割对COVID-19的预测

Science in Information Technology Letters Pub Date : 2020-10-27 DOI: 10.1101/2020.10.23.20218461

Aram Ter-Sarkisov

{"title":"Detection and Segmentation of Lesion Areas in Chest CT Scans For The Prediction of COVID-19","authors":"Aram Ter-Sarkisov","doi":"10.1101/2020.10.23.20218461","DOIUrl":"https://doi.org/10.1101/2020.10.23.20218461","url":null,"abstract":"In this paper we compare the models for the detection and segmentation of Ground Glass Opacity and Consolidation in chest CT scans. These lesion areas are often associated both with common pneumonia and COVID-19. We train a Mask R-CNN model to segment these areas with high accuracy using three approaches: merging masks for these lesions into one, deleting the mask for Consolidation, and using both masks separately. The best model achieves the mean average precision of 44.68% using MS COCO criterion for instance segmentation across all accuracy thresholds. The classification model, COVID-CT-Mask-Net, which learns to predict the presence of COVID-19 vs common pneumonia vs control, achieves the 93.88% COVID-19 sensitivity, 95.64% overall accuracy, 95.06% common pneumonia sensitivity and 96.91% true negative rate on the COVIDx-CT test split (21192 CT scans) using a small fraction of the training data. We also analyze the effect of Non-Maximum Suppression of overlapping object predictions, both on the segmentation and classification accuracy. The full source code, models and pretrained weights are available on https://github.com/AlexTS1980/COVID-CT-Mask-Net.","PeriodicalId":123344,"journal":{"name":"Science in Information Technology Letters","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116042347","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: 13

Hybrid approach redefinition with progressive boosting for class imbalance problem 针对类别不平衡问题的渐进式提升混合重新定义方法

Science in Information Technology Letters Pub Date : 2020-04-27 DOI: 10.31763/SITECH.V1I1.34

H. Hartono, Erianto Ongko

引用次数: 1