2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)最新文献_第2页

Slot assignment protocol for narrow band waveform for tactical MANETs 战术机动网络窄带波形的时隙分配协议

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115583

Sana Saleem, S. Khan

{"title":"Slot assignment protocol for narrow band waveform for tactical MANETs","authors":"Sana Saleem, S. Khan","doi":"10.23919/SOFTCOM.2017.8115583","DOIUrl":"https://doi.org/10.23919/SOFTCOM.2017.8115583","url":null,"abstract":"Over the past few years, Mobile Ad hoc net-works(MANETs) have gained importance in mission critical environments. Software defined radios(SDRs) have provided MANETs a platform for using Narrowband networking wave-form(NBNW) for concurrent voice and data transmissions. Traditional TDMA MAC protocols are not appropriate for such applications. In this paper we have proposed a distributed TDMA slot assignment MAC protocol for VHF/UHF NBWF operating at 25kHz for SDR MANETs. It is a conflict free slot assignment protocol which has improved the average channel utilization and reduced the control traffic overhead thus utilizing the limited bandwidth more efficiently for tactical MANETs. Nodes autonomously detect any change in network topology and assign slot by using local topology knowledge only. The protocol is employing 5Kbps for control slots traffic and the rest of the bandwidth i.e 20Kbps is utilized by data packets. The main contribution of the proposed technique is designing a protocol that works on very narrow band with low data rate for mobile nodes. The performance of the protocol is evaluated in OMNeT++ and we have shown that improved average channel utilization and reduced control traffic for MANETs is efficiently utilizing NBNW bandwidth than existing protocols.","PeriodicalId":189860,"journal":{"name":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"19 10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125769455","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

On radiation mechanism and modeling of dipole antenna in classical electromagnetics: A tribute to first 120 years of the pocklington integral equation 经典电磁学中偶极子天线的辐射机理与建模:对波克林顿积分方程诞生120周年的致敬

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115569

D. Poljak

引用次数: 1

Outlier detection based on data reduction in WSNs for water pipeline 基于数据约简的管道无线传感器网络异常点检测

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115570

A. Ayadi, Oussama Ghorbel, M. BenSaleh, A. Obeid, M. Abid

{"title":"Outlier detection based on data reduction in WSNs for water pipeline","authors":"A. Ayadi, Oussama Ghorbel, M. BenSaleh, A. Obeid, M. Abid","doi":"10.23919/SOFTCOM.2017.8115570","DOIUrl":"https://doi.org/10.23919/SOFTCOM.2017.8115570","url":null,"abstract":"Advances in data processing, electronics and wireless communications have made the vision of wireless sensor nodes an important reality. Wireless sensor nodes are cheap tiny sensor apparatus integrated with sensing, processing and short-range wireless communication abilities. Recent experimentations have been exploding in terms of usage and performance to improve the way of working in many contexts like the detection of outliers in a water pipeline. These pipelines are often subject to failure like erosion and sabotage that can cause high financial, environmental and health risks. Consequently, detecting damage and esteeming its location is very important. For this case, several techniques have been investigated in the research community. In this paper, we have constructed a novel leakage detection model based on Fisher Discriminant Analysis (FDA) and the Support Vector Machine (SVM) classifier for the detection of outliers based on Wireless Sensors Networks implemented in a water pipeline. Using this scheme, FDA is used to reduce the dimensionality of the pressure measurements and extract the optimal data for the classification process. Thus, SVM is used to perform the detection of the leaking pipe. The performance of our technique is evaluated in terms of accuracy and training time. As a result, the experimental measurements demonstrate that our method based on FDA coupled with SVM is the most efficient and accurate for detecting events in the context of water pipeline based on WSNs.","PeriodicalId":189860,"journal":{"name":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129760289","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: 6

Genetic algorithm optimization applied to the project of MIMO systems 遗传算法优化在MIMO系统工程中的应用

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115541

I. Leal, M. Alencar, W. Lopes

引用次数: 6

Configurable interactive environment for hybrid knowledge- and data-driven geriatric risk assessment 用于混合知识和数据驱动的老年风险评估的可配置交互式环境

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115520

V. Urosevic, P. Paolini, C. Tatsiopoulos

引用次数: 1

Tree and word embedding based sentence similarity for evaluation of good answers in intelligent tutoring system 基于树和词嵌入的句子相似度评价智能辅导系统中的好答案

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115592

Emil Brajković, Daniel Vasić

{"title":"Tree and word embedding based sentence similarity for evaluation of good answers in intelligent tutoring system","authors":"Emil Brajković, Daniel Vasić","doi":"10.23919/SOFTCOM.2017.8115592","DOIUrl":"https://doi.org/10.23919/SOFTCOM.2017.8115592","url":null,"abstract":"This article presents an approach to examining the similarity of the sentences. In our approach, Euler algorithm was used to generate a series of words based on tree and S⊘rensen-Dice coefficient was applied to determine the similarity between compared trees. The emphasis is on defining the similarity between the correct and incorrect answers from the Yahoo Question and Answer of the Non-Factual Data Set. Proposed algorithm was used on two types of trees. First is the constituency tree generated by Stanford CoreNLP, and second is custom-made algorithm that produces second type of tree, called knowledge tree which is derived from parse tree. In our comparison, Zhuang-Sasha algorithm was also used. Second approach that was used for sentence comparison uses Word2Vec model for finding word embedding's and calculating sentence average vector, after that cosine distance was applied to determine similarity between two sentences. Results generated with this method were compared with our method in finding sentence similarity based on knowledge tree. Approach described in this paper can be used in evaluation of correct answers which will be used in our implementation of Intelligent Tutoring System.","PeriodicalId":189860,"journal":{"name":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128030757","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

Investigating educational attractors and life tracks in e-learning environments using formal concept analysis 运用形式概念分析研究电子学习环境中的教育吸引因素和生活轨迹

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115551

Sanda Dragos, C. Săcărea, Diana Sotropa

{"title":"Investigating educational attractors and life tracks in e-learning environments using formal concept analysis","authors":"Sanda Dragos, C. Săcărea, Diana Sotropa","doi":"10.23919/SOFTCOM.2017.8115551","DOIUrl":"https://doi.org/10.23919/SOFTCOM.2017.8115551","url":null,"abstract":"E-learning platforms are widely used in modern education. While in the traditional education the instructor does not have a comprehensive insight on how his students are using the educational resources, the situation is different for online learning environments. Web usage logs comprise a variety of information regarding the visited pages. These web-logs become a rich resource for data analysis. Understanding usage patterns from web-logs is widely used in order to improve web-based applications. In our research we are interested in distilling valuable knowledge on users behavior in online educational platforms using the knowledge discovery and processing methods of Formal Concept Analysis (FCA). This knowledge can then be used to understand how students are using the educational resources, to gain insight on their online behavior as well as how they use these resources over time. In this paper, we focus on the detection of behavioral patterns in web-based e-learning environments and on how users adhere to intended educational attractors. For this, we first use FCA to investigate so-called educational attractors and then distill users life tracks using Temporal Concept Analysis. We exemplify the developed methods on a locally developed e-learning platform called PULSE.","PeriodicalId":189860,"journal":{"name":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"441 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122801708","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

Applying the multiclass classification methods for the classification of online social network friends 应用多类分类方法对在线社交网络好友进行分类

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115508

Nikolina Sever, Luka Humski, J. Ilic, Z. Skocir, D. Pintar, M. Vranić

{"title":"Applying the multiclass classification methods for the classification of online social network friends","authors":"Nikolina Sever, Luka Humski, J. Ilic, Z. Skocir, D. Pintar, M. Vranić","doi":"10.23919/SOFTCOM.2017.8115508","DOIUrl":"https://doi.org/10.23919/SOFTCOM.2017.8115508","url":null,"abstract":"Online social networks (OSNs) are platforms which facilitate social interactions between their users through message exchange, photo and video sharing, status updates, etc. One of the most popular OSNs is Facebook. Connections between users on Facebook are modeled through concept of friendship. Each connection between users is binary — two users either are or aren't \"friends\". Information about of the actual intensity or nature of their connection is not available although in real life it can vary significantly. A majority of observed network friends are acquaintances in real-life while close friends are in the minority. The goal of this paper is to demonstrate and evaluate how user interaction statistics can be utilized for effective assessment of the nature of users' real-life relationship. Using an ensemble of popular classification algorithms, we will classify ego-user's network friends into 3 groups: close friends, friends and acquaintances. As our main contribution, we will compare the efficiency of chosen algorithms and suggest the best approach for conducting this type of analysis on similar OSN communication data.","PeriodicalId":189860,"journal":{"name":"2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122926204","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

Characterization of low voltage access network for narrowband powerline communications 窄带电力线通信低压接入网的特性研究

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115514

Raja Alaya, R. Attia

引用次数: 2

Multi-modal input devices for active and healthy ageing 积极健康老龄化的多模态输入设备

2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM) Pub Date : 2017-09-01 DOI: 10.23919/SOFTCOM.2017.8115562

C. Cogerino, Giovanni Rosso, Ilaria Bosi, Antonella Frisiello, M. Bazzani

引用次数: 3