2020 6th International Conference on Web Research (ICWR)最新文献_第4页

A List-based Heuristic Algorithm for Static Task Scheduling in Heterogeneous Distributed Computing Systems 异构分布式计算系统中静态任务调度的启发式算法

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122306

Hadi Gholami, Reza Zakerian

{"title":"A List-based Heuristic Algorithm for Static Task Scheduling in Heterogeneous Distributed Computing Systems","authors":"Hadi Gholami, Reza Zakerian","doi":"10.1109/ICWR49608.2020.9122306","DOIUrl":"https://doi.org/10.1109/ICWR49608.2020.9122306","url":null,"abstract":"Executing complicated computations in parallel increases the speed of computing and brings user delight to the system. Decomposing the program into several small programs and running multiple parallel processors are modeled by Directed Acyclic Graph. Scheduling nodes to execute this task graph is an important problem that will speed up computations. Since task scheduling in this graph belongs to NP-hard problems, various algorithms were developed for node scheduling to contribute to quality service delivery. The present study brought a heuristic algorithm named looking ahead sequencing algorithm (LASA) to cope with static scheduling in heterogeneous distributed computing systems with the intention of minimizing the schedule length of the user application. In the algorithm proposed here, looking ahead is considered as a criterion for prioritizing tasks. Also, a property called Emphasized Processor has been added to the algorithm to emphasize the task execution on a particular processor. The effectiveness of the algorithm was shown on few workflow type applications and the results of the algorithm implementation were compared with two more heuristic and meta-heuristic algorithms.","PeriodicalId":231982,"journal":{"name":"2020 6th International Conference on Web Research (ICWR)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130346138","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

PEDM: Pre-Ensemble Decision Making for Malware Identification and Web Files PEDM:恶意软件识别和网络文件的预集成决策

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122322

Elham Velayati, Seyed Mehdi Hazrati Fard

{"title":"PEDM: Pre-Ensemble Decision Making for Malware Identification and Web Files","authors":"Elham Velayati, Seyed Mehdi Hazrati Fard","doi":"10.1109/ICWR49608.2020.9122322","DOIUrl":"https://doi.org/10.1109/ICWR49608.2020.9122322","url":null,"abstract":"Connecting your system or device to an insecure network can create the possibility of infecting by the unwanted files. Malware is every malicious code that has the potential to harm any computer or network. So, detecting harmful files is a crucial duty and an important role in any system. Machine learning approaches use a variety of features such as Opcodes, Bytecodes, and System-calls to achieve accurate malware identification. Each of these feature sets provides a unique semantic view, while, considering the effect of altogether is more reliable to detect attacks. Malware can disguise itself in some views, but hiding in all views will be much more difficult. Multi-View Learning (MVL) is an outstanding approach that considers multiple views of a problem to improve the overall performance. In this paper, inspiring MVL an approach is proposed to incorporate some various feature sets and exploit complementary information to identify a file. In this way, the consensus of multiple views is used to minimize the overall error of a classifier based on sparse representation. To show the generalization power of the proposed method, various datasets are employed. Experimental results indicate that in addition to high performance, the proposed method has the advantage of overcoming the imbalanced conditions.","PeriodicalId":231982,"journal":{"name":"2020 6th International Conference on Web Research (ICWR)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132195058","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 Method For Answer Selection Using DistilBERT And Important Words 一种利用蒸馏酒和重要词进行答案选择的方法

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122302

Jamshid Mozafari, A. Fatemi, P. Moradi

{"title":"A Method For Answer Selection Using DistilBERT And Important Words","authors":"Jamshid Mozafari, A. Fatemi, P. Moradi","doi":"10.1109/ICWR49608.2020.9122302","DOIUrl":"https://doi.org/10.1109/ICWR49608.2020.9122302","url":null,"abstract":"Question Answering is a hot topic in artificial intelligence and has many real-world applications. This field aims at generating an answer to the user's question by analyzing a massive volume of text documents. Answer Selection is a significant part of a question answering system and attempts to extract the most relevant answers to the user's question from the candidate answers pool. Recently, researchers have attempted to resolve the answer selection task by using deep neural networks. They first employed the recurrent neural networks and then gradually migrated to convolutional neural networks. Nevertheless, the use of language models, which is implemented by deep neural networks, has recently been considered. In this research, the DistilBERT language model was employed as the language model. The outputs of the Question Analysis part and Expected Answer Extraction component are also applied with [CLS] token output as the final feature vector. This operation leads to improving the method performance. Several experiments are performed to evaluate the effectiveness of the proposed method, and the results are reported based on the MAP and MRR metrics. The results show that the MAP values of the proposed method improved by 0.6%, and the MRR metric is improved by 0.2%. The results of our research show that using a heavy language model does not guarantee a more reliable method for answer selection problem. It also shows that the use of particular words, such as Question Word and Expected Answer word, can improve the performance of the method.","PeriodicalId":231982,"journal":{"name":"2020 6th International Conference on Web Research (ICWR)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121784947","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

Developing of a New Hybrid Clustering Algorithm Based on Density 一种新的基于密度的混合聚类算法

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122309

Mostafa Ghazizadeh-Ahsaee, Afsaneh Shamsadini-Farsangi

引用次数: 3

A New Follow based Community Detection Algorithm 一种新的基于关注的社区检测算法

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122277

Maryam Yazdani, A. Moeini, M. Mazoochi, Farzaneh Rahmani, Leila Rabiei

引用次数: 1

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122293

Pooria Taghizadeh Naderi, F. Taghiyareh

引用次数: 1

A Semi-blind Watermarking Method for Authentication of Face Images Using Autoencoders 基于自编码器的人脸图像半盲水印认证方法

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122276

Saeed Khalilidan, M. Mahdavi, Arian Balouchestani, Zahra Moti, Yeganeh Hallaj

{"title":"A Semi-blind Watermarking Method for Authentication of Face Images Using Autoencoders","authors":"Saeed Khalilidan, M. Mahdavi, Arian Balouchestani, Zahra Moti, Yeganeh Hallaj","doi":"10.1109/ICWR49608.2020.9122276","DOIUrl":"https://doi.org/10.1109/ICWR49608.2020.9122276","url":null,"abstract":"Recent advents of the internet have made accessibility of people to digital data such as audio, images, and videos much easier. Meanwhile, one of the cases that adversaries take advantage of is the people's face images that are available across the web. Digital watermarking is used to authenticate the original owner of the images and protect their copyright. With the help of digital watermarking, hidden data is embedded inside the image. Recently, neural networks such as autoencoders are one of the most popular models that are used in many fields. Neural networks are capable of understanding all kinds of raw data such as images and videos. In this paper, we present a method for embedding the user's national ID in their face images using autoencoders. The proposed autoencoder is trained with a dataset contains face images. The image is coded into some code using the autoencoders' encoder. Then, the national ID is embedded in this code and the modified code is reconstructed using the decoder to form the watermarked image. To extract the watermark, the watermarked image is encoded with the encoder and the watermark is extracted. Experiment results show that our model recovers the watermark with high accuracy and it is resistant against JPEG attacks. Moreover, the quality of the watermarked images is acceptable, and their SSIM compare to the original image is about 90%.","PeriodicalId":231982,"journal":{"name":"2020 6th International Conference on Web Research (ICWR)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128815738","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

How has Social Media Impacted the Life of an Individual Who Publicly Challenges Authoritative Discourse? 社交媒体如何影响公开挑战权威话语的个人生活?

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122305

U. Hashmi, R. A. Rashid, Mohamed Anwar Omar Din, Kamariah Yunus

{"title":"How has Social Media Impacted the Life of an Individual Who Publicly Challenges Authoritative Discourse?","authors":"U. Hashmi, R. A. Rashid, Mohamed Anwar Omar Din, Kamariah Yunus","doi":"10.1109/ICWR49608.2020.9122305","DOIUrl":"https://doi.org/10.1109/ICWR49608.2020.9122305","url":null,"abstract":"This paper discusses the role of social media in shaping the life of an individual who publicly challenges Islamic authoritative discourse (i.e the hadith of Prophet Muhammad and the Quran). Sally (pseudonym), a 49 year old Malaysian lady, was the sole participant of this study where the impacts of social media on her life were investigated in-depth. Data were generated using an ethnographic approach involving a prolonged observation of her social media accounts (i.e Facebook, Blog and Twitter) for four years from 2014 to 2017. This time period covers the major developments in her life since her public rejection of Islamic authoritative discourse to her settlement in the USA. A thematic analysis was carried out to make sense of the data. The findings reveal that social media has affected her life in both negative and positive ways. She faced several problematic experiences (e.g. break up with family, life threats, police reports and exile) due to her postings which challenge Islamic authoritative discourses, however she also made full use of the social media to finally put a stop to the problematic experiences.","PeriodicalId":231982,"journal":{"name":"2020 6th International Conference on Web Research (ICWR)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120981657","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

IMT: Selection of Top-k Nodes based on the Topology Structure in Social Networks IMT:基于拓扑结构的Top-k节点选择

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122283

Hamid Ahmadi Beni, Zahra Aghaee, Asgarali Bouyer, M. Vahidipour

引用次数: 11

A Survey on Challenges in Designing Cognitive Engines 认知引擎设计中的挑战综述

2020 6th International Conference on Web Research (ICWR) Pub Date : 2020-04-01 DOI: 10.1109/ICWR49608.2020.9122273

A. Saghiri

引用次数: 3