2018 14th International Conference on Emerging Technologies (ICET)最新文献

Understanding Worker Mobility within the Stay Locations using HMMs on Semantic Trajectories 在语义轨迹上使用hmm来理解停留地点内的工人流动

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603666

Muhammad Arslan, C. Cruz, D. Ginhac

{"title":"Understanding Worker Mobility within the Stay Locations using HMMs on Semantic Trajectories","authors":"Muhammad Arslan, C. Cruz, D. Ginhac","doi":"10.1109/ICET.2018.8603666","DOIUrl":"https://doi.org/10.1109/ICET.2018.8603666","url":null,"abstract":"Construction is one of the most hazardous industries because it involves dynamic interactions between workers and machinery on sites. The recent technological developments in indoor positioning technologies provide a huge volume of spatio-temporal data for studying dynamic interactions of moving objects. The results from such studies can be used for enhancing safety management strategies on sites by recognizing the mobility related workers` behaviors. For understanding workers` mobility behaviors to improve site safety, a system is proposed based on semantic trajectories and the Hidden Markov Models (HMMs). Firstly, the system captures raw spatio-temporal trajectories of workers using an Indoor Positioning System (IPS) and preprocess them for determining the important stay locations where the workers are spending the majority of their time. Then, these processed trajectories are transformed into semantic trajectories to establish an understanding of the meanings behind workers` mobility behaviors in terms of the building environment. Lastly, HMMs along with the Viterbi algorithm are used for categorizing different workers` mobility behaviors within the identified stay locations. The proposed system is tested using an indoor building environment and the results show that it holds a potential to identify high-risk workers` behaviors to improve site safety.","PeriodicalId":443353,"journal":{"name":"2018 14th International Conference on Emerging Technologies (ICET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115102019","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: 12

Prediction of Rising Stars from Pakistani Research Communities 来自巴基斯坦研究界的新星预测

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603661

Tehmina Amjad, Ali Daud, Sadia Khan, R. Abbasi, Faisal Imran

引用次数: 8

Modelling Trust Developing Procedure between Pet and Owner 宠物与主人之间信任发展过程的建模

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603596

Saqib Iqbal, G. F. Siddiqui, M. Zafar Iqbal

引用次数: 0

An Agent Based Model for Diffusion of Smart Grid Technology in the Society 基于智能体的智能电网技术社会传播模型

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603630

Sidra Nasir, Muhammad Asif, S. Ullah

引用次数: 4

Home Energy Monitoring System using Wireless Sensor Network 使用无线传感器网络的家庭能源监测系统

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603654

M. F. Shafique, Hassan Kamran, Hafsa Arshad, Hasan Ali Khattak

引用次数: 3

Player Ranking: A Solution to the Duckworth/ Lewis Method Problems 玩家排名:Duckworth/ Lewis方法问题的解决方案

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603602

Fayyaz Ali, Shah Khusro

{"title":"Player Ranking: A Solution to the Duckworth/ Lewis Method Problems","authors":"Fayyaz Ali, Shah Khusro","doi":"10.1109/ICET.2018.8603602","DOIUrl":"https://doi.org/10.1109/ICET.2018.8603602","url":null,"abstract":"Delay in a cricket match due to rain interruption or bad light is the most hated in the cricket arena in limited overs game (50 overs or 20 overs games). A complete washout of the match is an unsolvable phenomenon but the problem of restarting the match to be played with reduced number of overs has to be solved. Several different scenarios are faced in this context for which the Duckworth Lewis (D/L) or the new version Duckworth Lewis Stern (DLS) method is used to solve the problem of resetting the targets for the chasing team (team batting second). The D/L method uses two factors; the remaining number of overs and wickets, which yields to certain problems. There is not much that can be done with the number of overs remaining but the number of wickets remaining can be handled much more efficiently to reset the scores. In this article we are presenting a simple yet useful method that not only take into account the number of remaining wickets (batsmen) but also their quality (in terms of their career rating points and their ranking). Experiments are performed with the proposed method which shows the acceptability of our proposed solution.","PeriodicalId":443353,"journal":{"name":"2018 14th International Conference on Emerging Technologies (ICET)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132281223","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

Fog Computing based Automated Accident Detection and Emergency Response System using Android Smartphone 基于雾计算的Android智能手机事故自动检测与应急响应系统

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603557

Bilal Khalid Dar, M. Ali Shah, Huniya Shahid, A. Naseem

{"title":"Fog Computing based Automated Accident Detection and Emergency Response System using Android Smartphone","authors":"Bilal Khalid Dar, M. Ali Shah, Huniya Shahid, A. Naseem","doi":"10.1109/ICET.2018.8603557","DOIUrl":"https://doi.org/10.1109/ICET.2018.8603557","url":null,"abstract":"Accident and emergencies are unpredictable. In case of accidents, human intervention causes time delay and it can result in many problems, even human life loss. In this regard, IoT offers a lot of benefits. The main purpose of IoT based disaster management system is to provide aid in an emergency system with minimum delay. Cloud computing plays a vital role in IoT. It provides storage, management, and processing of a large amount of data. As a large amount of data is processed on the cloud, the overall processing time increase due to transferring and processing delay. Here, Fog Computing comes into play as it provides processing at the edge of the network. it provides many advantages such as reduced latency, mobility, geographical distribution, real-time interactions etc. the purpose of this paper is to exploit the advantages of fog computing to develop a fog-based accident detection and emergency response system, which employs Android device sensors to detect an accident emergency, accident location and create an action plan to handle the emergency timely. We evaluated our approach with the help of iFogSim which is an open source toolkit for simulating fog technologies along with IoT and cloud. The results achieved after simulation are promising and illustrate that fog provides superior results in comparison to the cloud.","PeriodicalId":443353,"journal":{"name":"2018 14th International Conference on Emerging Technologies (ICET)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123571340","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: 14

Optimized Convergence of OSPFv3 in Large Scale Hybrid IPv4-IPv6 Network 大规模IPv4-IPv6混合网络中OSPFv3的收敛优化

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603633

Z. Ashraf, Muhammad Yousaf

引用次数: 4

Learning Deep C3D Features For Soccer Video Event Detection 学习深度C3D功能的足球视频事件检测

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603644

Muhammad Zeeshan Khan, Summra Saleem, Muhammad A. Hassan, Muhammad Usman Ghanni Khan

引用次数: 16

Detection of Plagiarism in Urdu Text Documents 乌尔都语文本文件中的抄袭检测

2018 14th International Conference on Emerging Technologies (ICET) Pub Date : 2018-11-01 DOI: 10.1109/ICET.2018.8603616

Waqar Ali, Tanveer Ahmed, Zobia Rehman, A. Rehman, M. Slaman

{"title":"Detection of Plagiarism in Urdu Text Documents","authors":"Waqar Ali, Tanveer Ahmed, Zobia Rehman, A. Rehman, M. Slaman","doi":"10.1109/ICET.2018.8603616","DOIUrl":"https://doi.org/10.1109/ICET.2018.8603616","url":null,"abstract":"Plagiarism, intellectual theft, and copyright violation are the most important problems for researchers and academic organizations such as universities. The famous publicly available Plagiarism Detection (PD) tools are Turnitin, APlagramme, Plagscan, and Aplag and these tools use to overcome plagiarism problems. However, these tools mainly work for English, Persian and Arabic languages. Copyright and intellectual document have written in every language of the world and many South Asian countries including Pakistan and India, a huge amount of academic content is available in the Urdu language. Unfortunately, due to resources scarcity and less concentration of researcher There is no enough work has been done in Urdu PD. Capturing of plagiarism in Urdu is presented in this paper. Most existing Urdu PD systems fail to identify paraphrase plagiarism in comparison between suspicious and source text document. However, the proposed system is able to identify different types of plagiarism like sentence reordering, inert/delete inter-textual similarity and near copy similarity. The proposed system is based on a distance measuring method, structural alignment algorithm, and vector space model. The system performance is evaluated using machine learning classifiers i.e. Support Vector Machine and Naïve Bayes. The experimental results demonstrated that performance of the proposed method is improved as compared to other existing model i.e. cosine method, simple Jaccard measure.","PeriodicalId":443353,"journal":{"name":"2018 14th International Conference on Emerging Technologies (ICET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130894540","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: 7