2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)最新文献_第5页

Dynamic Time Warping: Itakura vs Sakoe-Chiba 动态时间扭曲:Itakura vs Sakoe-Chiba

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/INISTA.2019.8778300

Z. Geler, V. Kurbalija, M. Ivanović, Miloš Radovanović, Weihui Dai

引用次数: 22

Technological innovation and its enhancement of cultural heritage 技术创新及其对文化遗产的强化

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/INISTA.2019.8778378

V. Cantoni, M. Mosconi, Alessandra Setti

{"title":"Technological innovation and its enhancement of cultural heritage","authors":"V. Cantoni, M. Mosconi, Alessandra Setti","doi":"10.1109/INISTA.2019.8778378","DOIUrl":"https://doi.org/10.1109/INISTA.2019.8778378","url":null,"abstract":"The technological revolution which has completely transformed social relations and which has enabled communication and sharing of multimedia formats is also rapidly transforming the field of art and cultural heritage management. This contribution focuses on the innovative use of interactive digital technologies in digital humanities practices. In the last recent years, we experienced different approaches exploiting advanced technological innovation in the field of cultural heritage promotion and conservation. In 2015, for the exhibition “1525-2015. Pavia, the Battle, the Future. Nothing was the same again”, we applied multimodal interaction modalities. Visitors could look at and examine seven ancient tapestries through 3D reconstructions, virtual simulations, eye interaction and gesture navigation. Moreover, a transposition of the tapestries into tactile images enabled exploration by partially sighted and blind people. Motivated by this successful exhibition, in 2018, a more ambitious project, the 3D reconstruction of Pavia in the Renaissance, was undertaken. Advanced techniques and innovative applications have led to a resource useful for the promotion of the history of the city and its architectural richness through videos offering virtual tours of the city. Later, in 2019, a “Digital Anastylosis of Frescoes challeNgE (DAFNE)” has been proposed, to provide virtual solutions that ultimately add to the fresco restorer's toolkit, with digital re-composition of ‘puzzles’ formed by the artwork fragments, often mixed with spurious elements.","PeriodicalId":262143,"journal":{"name":"2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130367560","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

A Semiautomated Human Resource Management System 半自动化人力资源管理系统

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/INISTA.2019.8778252

Mihaela Ilie, S. Ilie, Ionuţ Murareţu

{"title":"A Semiautomated Human Resource Management System","authors":"Mihaela Ilie, S. Ilie, Ionuţ Murareţu","doi":"10.1109/INISTA.2019.8778252","DOIUrl":"https://doi.org/10.1109/INISTA.2019.8778252","url":null,"abstract":"This paper is an extension of our previous work where we have introduced a skill-based mathematical model of resource allocation. This paper expands our skill based approach by introducing adaptive skill sets for employees and a history-based initial evaluation strategy. For this purpose, the mathematical model is adjusted in order to modify skill vectors after a task allocation. In turn this enables estimations of the time to task completion based on employee history. We experimentally evaluate the impact of the skill adjustment on the project duration and cost in an agent-based simulation environment. The conclusion of the experiment is that taking into account the implicit skill gain of employees during their daily activity decreases projected costs and execution time significantly, which is this papers contribution to the state of the art. This approach is a good way to keep the teams skill sets automatically updated. The experiment is designed as an agent society simulation and through their interactions raw data is collected in order to calculate the performance measures. A scalability experiment is also presented showing slight (1%) decrease in project duration when tasks double while costs decrease between 7–32 %.","PeriodicalId":262143,"journal":{"name":"2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)","volume":"16 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113974583","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 Deep Learning Framework for Univariate Time Series Prediction Using Convolutional LSTM Stacked Autoencoders 基于卷积LSTM堆叠自编码器的单变量时间序列预测深度学习框架

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/INISTA.2019.8778417

Aniekan Essien, C. Giannetti

引用次数: 30

[Copyright notice] (版权)

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/inista.2019.8778309

引用次数: 0

Inter-Criteria Analysis Based on Belief Functions for GPS Surveying Problems 基于置信函数的GPS测量问题准则间分析

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/INISTA.2019.8778423

S. Fidanova, J. Dezert, A. Tchamova

引用次数: 2

Intelligent Information Management System for Decision Support: Application in a Lift Manufacturer's Shop Floor 决策支持智能信息管理系统:在电梯制造车间的应用

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/INISTA.2019.8778290

T. Vafeiadis, Alexandros Nizamis, K. Apostolou, V. Charisi, I. Metaxa, Theofilos D. Mastos, D. Ioannidis, Angelos Papadopoulos, D. Tzovaras

{"title":"Intelligent Information Management System for Decision Support: Application in a Lift Manufacturer's Shop Floor","authors":"T. Vafeiadis, Alexandros Nizamis, K. Apostolou, V. Charisi, I. Metaxa, Theofilos D. Mastos, D. Ioannidis, Angelos Papadopoulos, D. Tzovaras","doi":"10.1109/INISTA.2019.8778290","DOIUrl":"https://doi.org/10.1109/INISTA.2019.8778290","url":null,"abstract":"Intelligent systems and applications on manufacturing domain aim to improve decision-making capabilities, ease complex decision problems, offer predictions related to maintenance activities and provide cost savings to companies. In order to support the aforementioned functionalities, the intelligent prediction and decision support systems are based on machine learning and signal processing techniques, AI algorithms, IoT devices, data mining and modeling techniques, rules and fuzzy logic systems, and advance visualizations. In this paper, we introduce an intelligent information management system that aims to provide predictive maintenance and enhance decision support in a leading lift manufacturer. The proposed solution is a decision support system equipped with analytic tools, IoT sensors and visualizations. The system supports the full cycle of polishing procedures of the lift manufacturer, as it starts from predictive maintenance during the polishing machines' operation and ends in the scrap metals' removal after the operation. Both the intelligent information system and the scenario of its usage in the lift manufacturer's shop floor are presented in this work.","PeriodicalId":262143,"journal":{"name":"2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131152525","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

Finding Musical Pieces with a Similar Emotional Distribution throughout the Same Composition 在同一作品中寻找具有相似情感分布的音乐作品

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/INISTA.2019.8778296

Jacek Grekow

引用次数: 0

Optimizing Nash Social Welfare in Semi-Competitive Intermediation Networks 半竞争中介网络中的纳什社会福利优化

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/INISTA.2019.8778270

A. Bădică, C. Bǎdicǎ, Ion Buligiu, L. Ciora, M. Ganzha, M. Ivanović, M. Paprzycki

引用次数: 0

Comparison of Ensemble-Based Multiple Instance Learning Approaches 基于集成的多实例学习方法的比较

2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA) Pub Date : 2019-07-01 DOI: 10.1109/INISTA.2019.8778273

Pelin Yildirim Taser, K. Birant, Derya Birant

{"title":"Comparison of Ensemble-Based Multiple Instance Learning Approaches","authors":"Pelin Yildirim Taser, K. Birant, Derya Birant","doi":"10.1109/INISTA.2019.8778273","DOIUrl":"https://doi.org/10.1109/INISTA.2019.8778273","url":null,"abstract":"Multiple instance learning (MIL) is concerned with learning from training set of bags including multiple feature vectors. This paradigm has various algorithms as a solution for multiple instance problem. Recently, ensemble learning has become one of the most preferred machine learning technique because its high classification ability. The main goal of ensemble learning is combining multiple learning models and obtaining a decision from all outputs of these models. Considering this motivation, the study presented in this paper proposes an ensemble-based multiple instance learning approach which merges standard algorithms (MIWrapper and SimpleMI) with ensemble learning methods (Bagging and AdaBoost) to improve classification ability. The proposed approach includes ensemble of combination of MIWrapper and SimpleMI learners with Naive Bayes, Support Vector Machines (SVM), Neural Networks (Multilayer Perceptron (MLP)), and Decision Tree (C4.5) as base classifiers. In the experimental studies, the proposed ensemble-based approach was compared with individual MIWrapper and SimpleMI algorithms in terms of accuracy. The obtained results indicate that the ensemble-based approach shows higher classification ability than the conventional solutions.","PeriodicalId":262143,"journal":{"name":"2019 IEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132682086","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: 5