2018 3rd International Conference on Computer Science and Engineering (UBMK)最新文献_第9页

Audiovisual Attention for Robots from a Developmental Perspective 发展视角下机器人的视听注意

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/UBMK.2018.8566251

Nada Al-azzawi, Barış Bayram, G. Ince

{"title":"Audiovisual Attention for Robots from a Developmental Perspective","authors":"Nada Al-azzawi, Barış Bayram, G. Ince","doi":"10.1109/UBMK.2018.8566251","DOIUrl":"https://doi.org/10.1109/UBMK.2018.8566251","url":null,"abstract":"A robot with audiovisual attention abilities can distinguish between multiple signal sources in the environment and tackle down only the object of interest based on such information. Here, the design for such a system is introduced in a two level hierarchy. The low level modules are visual and auditory perception modules in which the later relies on the concept of incremental learning to classify the sound signals. The second-level module fuses the information provided in the low level ones to achieve a representation of audiovisual objects. The developmental structure is established in two phases. The first phase (exposure) establishes the base knowledge for the second level module through offline training. The second phase (reappraisal) allows the system to correct a false guess of an instance via storing the wrong guessed instances in a doubt memory to go back to later after more knowledge has been obtained by the system. The proposed approach has been verified on a custom made dataset of audiovisual information through the means of accuracy measured on each stage of the system behavior and the increase in it obtained in each phase.","PeriodicalId":293249,"journal":{"name":"2018 3rd International Conference on Computer Science and Engineering (UBMK)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121851773","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

Real-Time Abnormal Detection for Asthma Patients with Internet of Things Technology 基于物联网技术的哮喘患者实时异常检测

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/UBMK.2018.8566452

İrem Güler, Nefise Baştürk, Nurefşan Samutoğlu, K. Küçük

{"title":"Real-Time Abnormal Detection for Asthma Patients with Internet of Things Technology","authors":"İrem Güler, Nefise Baştürk, Nurefşan Samutoğlu, K. Küçük","doi":"10.1109/UBMK.2018.8566452","DOIUrl":"https://doi.org/10.1109/UBMK.2018.8566452","url":null,"abstract":"Internet of Things (IoT) has gained significant momentum with the developing technology. Health services are one of the most critical areas of IoT that are used in almost every application. Nowadays, one of the most common chronic diseases is asthma. Respiratory rates of asthma patients need to be monitored for specific periods. For this reason, patients need to go to health centers continuously. In this study, we aim to detect respiration in real-time in every environment where asthmatic patients do not go to health centers. Patient breathing rates are calculated using the DHT11 temperature sensor. The data from the patient is transferred to the Firebase cloud environment in real-time with the Wemos D1 development card which has ESP8266 Wi-Fi module. The obtained data is processed and sent to the WEKA data mining software for classification. Classification results are reported to the patient by detecting a normal or abnormal condition. Thus, using data mining techniques and IoT devices, patients are provided with the opportunity to know their situation in all settings without the help of medical experts.","PeriodicalId":293249,"journal":{"name":"2018 3rd International Conference on Computer Science and Engineering (UBMK)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122063333","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

Decoding of Binary Mental Arithmetic Based Near-Infrared Spectroscopy Signals 基于二进制心算的近红外光谱信号解码

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/UBMK.2018.8566462

Ebru Ergün, Önder Aydemir

{"title":"Decoding of Binary Mental Arithmetic Based Near-Infrared Spectroscopy Signals","authors":"Ebru Ergün, Önder Aydemir","doi":"10.1109/UBMK.2018.8566462","DOIUrl":"https://doi.org/10.1109/UBMK.2018.8566462","url":null,"abstract":"There has been an increase interest for functional near-infrared spectroscopy (NIRS) in recent years since it is a non-invasive technique as well as few restrictions to the subjects and not affected by electrical noise. In this study, we analyzed mental arithmetic based NIRS signals that it can be helpful for patients like dyscalculia where difficulty learning or lack of attention problem exists. So, it is important that the mental arithmetic is effectively separated from NIRS signal. For this purpose, first, we determined change in oxygenated hemoglobin (HbO) and deoxygenated hemoglobin (HbR) concentrations by applying the modified Beer-Lambert law to NIRS data set. After Hilbert transform (HT)+ sum derivative (SD) based features were extracted from pre-processed HbR and HbO, these features were classified by k-nearest neighbors. The average classification accuracy (CA) rates of 82.87% and 84.94% were calculated from the HT+SD based features that best determine the mental arithmetic of the HbR and HbO signals, respectively. It can be said that the proposed method is effective for this dataset, in view of the fact that these values are 2.17% and 1.34% higher than CAs calculated in the literature for HbR and HbO, respectively.","PeriodicalId":293249,"journal":{"name":"2018 3rd International Conference on Computer Science and Engineering (UBMK)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114756139","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: 9

Feature Extraction Based on Deep Learning for Some Traditional Machine Learning Methods 基于深度学习的特征提取对传统机器学习方法的改进

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/UBMK.2018.8566383

Aykut Çayir, I. Yenidoğan, H. Dağ

引用次数: 24

Teaching Mobile Application Development: from the Idea to the Result 教学移动应用开发:从理念到结果

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/UBMK.2018.8566488

Zhanat Nurbekova, G. Aimicheva

引用次数: 2

Blockchain-based Framework for Customer Loyalty Program 基于区块链的客户忠诚度计划框架

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/UBMK.2018.8566642

Şeref Bülbül, G. Ince

引用次数: 21

Academic Ontology for AVESİS 学术本体为AVESİS

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/UBMK.2018.8566391

Nurgül Yüzbaşıoğlu, Nihal Altuntaş

引用次数: 0

Interference Power and SIR Comparison for Different Channel Assignment Models on Wi-Fi Bands Wi-Fi频段上不同信道分配模式的干扰功率和SIR比较

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/UBMK.2018.8566445

Bayram Orhun Ergül, Furkan Küçük, Oğuzhan İşleyen, Fatma Selin Hangisi, Emre Bayat, K. Küçük

{"title":"Interference Power and SIR Comparison for Different Channel Assignment Models on Wi-Fi Bands","authors":"Bayram Orhun Ergül, Furkan Küçük, Oğuzhan İşleyen, Fatma Selin Hangisi, Emre Bayat, K. Küçük","doi":"10.1109/UBMK.2018.8566445","DOIUrl":"https://doi.org/10.1109/UBMK.2018.8566445","url":null,"abstract":"In WLAN networks, channel assignment is highly critical due to adjacent and co-channel interference problems. Considering the lack of channel numbers for 2.4 GHz Wi-Fi bands, adjacent interference, and co-channel interference are mostly unavoidable. Channel assignment can be challenging when some access points are too many, or access point locations are not fixed. In this work, we present a comparison two different channel assignment algorithms, Minimum-Spanning- Tree-Inspired (MISTI) and Signal to Interference Ratio (SIR) based, and conclude the simulated experimental results regarding interference power and SIR performances. Furthermore, we have planned to select which channel assignment model has better results under several different scenarios prepared for the comparison. Moreover, MISTI and SIR based algorithm results are mostly close to each other except the latter has some fluctuations in terms of related metrics. Hence, this study has prepared to make a valid comparison between two proposed algorithms by simulating experimental results.","PeriodicalId":293249,"journal":{"name":"2018 3rd International Conference on Computer Science and Engineering (UBMK)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133950060","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

Kablosuz Algılayıcı Ağlarda Makine Öğrenme Tabanlı Çok Kriterli Yönlendirme

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/UBMK.2018.8566317

Mevlüt Ersoy, Tuncay Yiğit, Hamit Armagan

引用次数: 0

UBMK 2018 TOC

2018 3rd International Conference on Computer Science and Engineering (UBMK) Pub Date : 2018-09-01 DOI: 10.1109/ubmk.2018.8566576

引用次数: 0