2019 12th International Conference on Developments in eSystems Engineering (DeSE)最新文献_第2页

Ultra Wide Band Antenna Design for Robotics & Sensors Environment 机器人与传感器环境下的超宽带天线设计

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00125

J. M. Rasool

引用次数: 6

A Jet Engine Prognostic and Diagnostic System Based on Bayesian Classifier 基于贝叶斯分类器的喷气发动机预测诊断系统

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00181

M. Saeidi, M. Soufian, A. Elkurdi, S. Nefti-Meziani

引用次数: 2

Non-destructive Electromagnetic Wave Sensor for Hazardous Biological Materials 有害生物材料无损电磁波传感器

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00122

K. H. Teng, Ibijoke A. Idowu, P. Kot, A. Shaw, M. Muradov

{"title":"Non-destructive Electromagnetic Wave Sensor for Hazardous Biological Materials","authors":"K. H. Teng, Ibijoke A. Idowu, P. Kot, A. Shaw, M. Muradov","doi":"10.1109/DeSE.2019.00122","DOIUrl":"https://doi.org/10.1109/DeSE.2019.00122","url":null,"abstract":"A novel non-destructive electromagnetic wave (EM) sensor for rapid identification of biological material is presented in this paper. Biological treats could be defined as biological agents such as bacteria spores, viruses and toxins. Spores can disable or kill people, animals and crops. Therefore, it is important to identify the hazard in rapid and nondestructive manner to make a safer environment. In this research, a 2.45 GHz microwave resonator was used to detect the dipliconic acid (DPA), which is the bio-maker of bacillus spores. A promising results were obtained by detecting the DPA from 0.001M – 0.3M concentration at frequency of 2.4 GHz, which are the fundamental mode (TM101) of the designed cavity. In addition, different species of bacillus spores was detected at frequency approximate at 2.36 GHz. The results concluded that electromagnetic wave sensors may have the potential for use as a non-destructive and real time sensor to detect bacillus spores. The EM principle could be extended to detect different hazardous biological materials by identify the “finger print” of specific biological materials on different surfaces.","PeriodicalId":6632,"journal":{"name":"2019 12th International Conference on Developments in eSystems Engineering (DeSE)","volume":"11 1","pages":"651-655"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87401963","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

Bromine Addition Improving Activation Energy and Electrical Conductivity of Electrospun Poly Methyl Meth Acrylate (PMMA) Thin Film Nanofibers Conductive Polymers 添加溴提高静电纺聚甲基丙烯酸甲酯(PMMA)薄膜纳米纤维导电聚合物的活化能和电导率

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00140

A. R. Jabur, Ali A. Hameed

{"title":"Bromine Addition Improving Activation Energy and Electrical Conductivity of Electrospun Poly Methyl Meth Acrylate (PMMA) Thin Film Nanofibers Conductive Polymers","authors":"A. R. Jabur, Ali A. Hameed","doi":"10.1109/DeSE.2019.00140","DOIUrl":"https://doi.org/10.1109/DeSE.2019.00140","url":null,"abstract":"Poly (methyl methacrylate) doped with (0, 0.3, 0.5, 0.7, and 0.9) wt. % of bromine additives conductive polymers films were prepared by electrospinning technique. The polymeric solution investigation lead that increasing the bromine weight addition decrease viscosity and increase both surface tension and electrical conductivity .The morphology of the prepared films was characterized by scanning electron microscopy ,the average fiber diameter measured statistically from the SEM image was equal to 800 nm for PMMA with 0.7 wt.% bromine thin film, and 400 nm for the pure PMMA thin film. The Bromine addition improved the electrical conductivity of the prepared films with increasing bromine concentration, from (29.5518× 10-9 S/cm) for pure PMMA film to (224.870 × 10-9 S/cm) for PMMA with 0.9 wt. % of bromine additives at room temperature. Activation energy of the polymeric film decreased from 0.4483 e.V for pure PMMA film to 0.3783 eV for PMMA with 0.9 wt. % bromine film. Key words; Electro spinning, Electrical conductivity. Bromine ,PMMA ,Activation energy","PeriodicalId":6632,"journal":{"name":"2019 12th International Conference on Developments in eSystems Engineering (DeSE)","volume":"21 1","pages":"750-754"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87356754","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

Prediction of Twitter Message Deletion 推特消息删除预测

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00031

A. Gazizullina, M. Mazzara

{"title":"Prediction of Twitter Message Deletion","authors":"A. Gazizullina, M. Mazzara","doi":"10.1109/DeSE.2019.00031","DOIUrl":"https://doi.org/10.1109/DeSE.2019.00031","url":null,"abstract":"Social media are a way for people to build their reputation or to promote an idea. Twitter, in contrast with other social media sources, is a generator of real-time textual information, and it is mainly used to share ideas, opinions and breaking news. It is meant for short, quick, compelling statements that reach out millions of users around the world. Posting something inappropriate may affect the public image, privacy of celebrities, politicians as well as ordinary Twitter users. If we could in advance alarm the user of the potential vulnerability in the message to be posted we could protect his/her identity from being compromised. So, automatic identification of the message with the content causing it to be deleted in the future is a promising area of research. In this paper, we are analyzing Twitter messages in English language with the objective to build a classifier to predict whether a particular post will be deleted by the user or not. We apply the Recurrent Neural Networks (RNN) model that relies on the context-based information of tweets while doing the classification. An additional contribution of the work is the construction of a rich set of features including twitter metadata, user information and tweets’ text to train classical machine learning algorithms on Twitter data.","PeriodicalId":6632,"journal":{"name":"2019 12th International Conference on Developments in eSystems Engineering (DeSE)","volume":"47 1","pages":"117-122"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90585122","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

Virtual Reality-Based Immersive Simulation Mechanics for Invasive Surgery Training 基于虚拟现实的侵入性外科训练沉浸式仿真力学

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00171

Rumia Sultanova, R. Sharaeva

引用次数: 0

Design of Multilayer Perceptron Network Based on Metal-Oxide Memristive Devices 基于金属氧化物记忆器件的多层感知器网络设计

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00103

S. Danilin, S. Shchanikov, A. Zuev, I. Bordanov, D. Korolev, A. Belov, A. Pimashkin, A. Mikhaylov, V. Kazantsev

引用次数: 2

Virtual Learning Environment in Lexical Skills Development for Active Vocabulary Expansion in Non-Language Students Who Learn English 虚拟学习环境对英语非语言学生词汇主动扩展的词汇技能培养

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00077

E. Volodarskaya, A. S. Grishina, L. I. Pechinskaya

引用次数: 10

The Research of Fault Tolerance of Memristor-Based Artificial Neural Networks 基于忆阻器的人工神经网络容错研究

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00104

S. Danilin, S. Shchanikov, A. Zuev, I. Bordanov, A. E. Sakulin

引用次数: 2

The Prediction of Municipal Water Demand in Iraq: A Case Study of Baghdad Governorate 伊拉克城市用水需求预测——以巴格达省为例

2019 12th International Conference on Developments in eSystems Engineering (DeSE) Pub Date : 2019-10-01 DOI: 10.1109/DeSE.2019.00058

S. Zubaidi, H. Al-Bugharbee, Y. R. Muhsen, K. Hashim, R. Alkhaddar, Wisam H. Hmeesh

{"title":"The Prediction of Municipal Water Demand in Iraq: A Case Study of Baghdad Governorate","authors":"S. Zubaidi, H. Al-Bugharbee, Y. R. Muhsen, K. Hashim, R. Alkhaddar, Wisam H. Hmeesh","doi":"10.1109/DeSE.2019.00058","DOIUrl":"https://doi.org/10.1109/DeSE.2019.00058","url":null,"abstract":"Accurate prediction of short-term water demand plays an important role for water suppliers as well as for government's water plan. This paper aims to predict a municipal water demand for an upcoming year based on previous water consumption in Baghdad city. We have investigated various signal processing approaches to address the noisy time series data of water consumption, while a new methodology for short-term prediction of municipal water consumption has been proposed. This would enable us to forecast the short-term municipal water demand using different windows and multi-stages of hybrid univariate singular spectrum analysis and autoregressive model (SSA-AR model). First, different windows and multi-stages of SSA are utilised to analyse and clean the original water time series from noise. Then, the autoregressive (AR) model is employed to predict water demand based on the treated water consumption time series. In this study, monthly water consumption data from (2006-2015) for Al-Wehda treatment plant in Baghdad city, Iraq is selected to assess the model. The findings show that (SSA-AR model) can predict water demand with high accuracy from high noisy raw data.","PeriodicalId":6632,"journal":{"name":"2019 12th International Conference on Developments in eSystems Engineering (DeSE)","volume":"65 1","pages":"274-277"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90938619","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: 73