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2022 7th International Conference on Computer Science and Engineering (UBMK)最新文献

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perfoTrek - Multi Purpose Traffic Generator, Performance Measurement and Monitoring Tool for Communication Applications 用于通信应用的多用途流量发生器、性能测量和监控工具
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919498
Engin Yakar, H. Kilinç
{"title":"perfoTrek - Multi Purpose Traffic Generator, Performance Measurement and Monitoring Tool for Communication Applications","authors":"Engin Yakar, H. Kilinç","doi":"10.1109/UBMK55850.2022.9919498","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919498","url":null,"abstract":"For more efficient communication applications, it is necessary to conduct more efficient tests. Continuous performance testing, automatic verification and monitoring of the end-to-end workflow are critical to achieving this goal. In this study, comprehensive and integrated test and application scenarios in a technology company that develops communication applications are focused. We introduce perfoTrek, a traffic generator, performance measurement and monitoring tool for telecommunication platforms. This paper presents the design, implementation, testing scenarios of perfoTrek.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133774591","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
Software Features and Linguistic Features of Uzbek Synonymizer 乌兹别克语同义语的软件特点和语言特点
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919447
Abjalova Manzura Abdurashetona, Uzokova Mokhiyakon
{"title":"Software Features and Linguistic Features of Uzbek Synonymizer","authors":"Abjalova Manzura Abdurashetona, Uzokova Mokhiyakon","doi":"10.1109/UBMK55850.2022.9919447","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919447","url":null,"abstract":"Today., synonymizers are gaining popularity among users around the world. They serve to increase the level of text originality, automatic text processing, and avoid duplication. In recent years, in addition to using traditional methods of forming such a program in the world experience, machine learning has become popular. This article analyzes the advantages and disadvantages of these two methods and discusses which one to choose based on the characteristics of the Uzbek language. In addition, the structure of software and linguistic support for the creation of the first Uzbek synonymous program is discussed. The initial successes and shortcomings of the program were noted, and promising ways of its development are discussed.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130686806","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
Usage of Morphotranslation in Data Augmentation of the Training Dataset for “TurkLang-7” Project on MT Systems Creation 形态翻译在机器翻译系统创建“TurkLang-7”项目训练数据集增强中的应用
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919552
Dzhavdet Suleymanov, Lenara Kubedinova, A. Gatiatullin, N. Prokopyev
{"title":"Usage of Morphotranslation in Data Augmentation of the Training Dataset for “TurkLang-7” Project on MT Systems Creation","authors":"Dzhavdet Suleymanov, Lenara Kubedinova, A. Gatiatullin, N. Prokopyev","doi":"10.1109/UBMK55850.2022.9919552","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919552","url":null,"abstract":"The paper discusses an approach to solving the problem of low-resource languages in the development of neural network machine translation systems for Turkic language pairs by artificially increasing training data in form of parallel corpora. The basis of this approach lies in usage of toolset of the multilingual portal “Turkic Morpheme” for morphological analysis and generation of word forms. The issues of creating machine translation systems for Turkic languages are considered, a hypothesis about possibility of using the presented approach to improve the results of machine learning is formulated, and the rationale for using morphological analysis methods is given. The developed algorithm for artificial augmentation of training data is presented.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129385952","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
Automatic Term Extraction with Joint Multilingual Learning 联合多语言学习的自动术语提取
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919455
Ipek Nur Karaman, I. Çiçekli, Gonenc Ercan
{"title":"Automatic Term Extraction with Joint Multilingual Learning","authors":"Ipek Nur Karaman, I. Çiçekli, Gonenc Ercan","doi":"10.1109/UBMK55850.2022.9919455","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919455","url":null,"abstract":"Automatic term extraction using deep learning achieves promising results if sufficient training data exists. Unfortunately, some languages may lack these resources in some domains causing poor performance due to under-fitting. In this study, we propose a joint multilingual deep learning model with sequence labeling to extract terms, trained on multilingual data and aligned word embeddings to tackle this problem. Our evaluation results demonstrate that the multilingual model provides an improvement for automatic term extraction task when it is compared with a monolingual model trained with limited training data. Although the improvement rate varies according to domain and the size of the data, our evaluation shows that the highest improvement in F1-score is 10.1 % in the domain of Computer Science, the least improvement is 7.6% in the domain of Electronic Engineering. Our multilingual model also achieves competitive results when it is compared with a monolingual model trained with sufficient training data.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117219121","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
Zero-Copy Approach to Enhance SIP Parsing Performance 提高SIP解析性能的零复制方法
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919566
Demir Y. Yavas
{"title":"Zero-Copy Approach to Enhance SIP Parsing Performance","authors":"Demir Y. Yavas","doi":"10.1109/UBMK55850.2022.9919566","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919566","url":null,"abstract":"This paper proposes a zero-copy parsing approach for Session Initiation Protocol (SIP) to minimize SIP parsing effort, such that the parsing processes messages as octet-streams received from network to mark positions of message elements on the received data for further usage, without creating copies from that data. The proposed approach is implemented as an open source SIP parser and basic performance tests are conducted for comparison with oSIP open source SIP parser.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115749164","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
A New Algorithm For The Initial Feasible Solutions Of Fixed Charge Transportation Problem 固定收费运输问题初始可行解的新算法
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919524
Nermin Kartlı, E. Bostanci, M. Güzel
{"title":"A New Algorithm For The Initial Feasible Solutions Of Fixed Charge Transportation Problem","authors":"Nermin Kartlı, E. Bostanci, M. Güzel","doi":"10.1109/UBMK55850.2022.9919524","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919524","url":null,"abstract":"Fixed Charge Transportation Problem (FCTP) is known as an NP-hard problem. Therefore, algorithms are developed to find the approximate solution of this problem. The success of these algorithms depends on the choice of initial feasible solutions. In this study, a new algorithm is proposed for the initial feasible solutions of FCTP. In the proposed algorithm, firstly, for each cell in the matrix of the given inputs of the problem, when the entire product corresponding to this cell is transported, its cost is calculated and a new cost matrix is created. Then, the rows or columns of this cost matrix are randomly selected and the least cost cell in the selected row or column is found and the value of the variable corresponding to this cell of the initial solution is determined. The proposed algorithm is explained on the example.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115138088","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
SSQEM: Semi-Supervised Quantum Error Mitigation SSQEM:半监督量子误差缓解
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919474
Alperen Sayar, Suayb S. Arslan, Tuna Çakar
{"title":"SSQEM: Semi-Supervised Quantum Error Mitigation","authors":"Alperen Sayar, Suayb S. Arslan, Tuna Çakar","doi":"10.1109/UBMK55850.2022.9919474","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919474","url":null,"abstract":"One of the fundamental obstacles for quantum computation (especially in noisy intermediate-scale quantum (NISQ) era) to be a near-term reality is the manufacturing gate/measurement technologies that make the system state quite fragile due to decoherence. As the world we live in is quite far away from the ideal, complex particle-level material imperfections due to interactions with the environment are an inevitable part of the computation process. Hence keeping the accurate state of the particles involved in the computation becomes almost impossible. In this study, we posit that any physical quantum computer sys-tem manifests more multiple error source processes as the number of qubits as well as depth of the circuit increase. Accordingly, we propose a semi-supervised quantum error mitigation technique consisting of two separate stages each based on an unsupervised and a supervised machine learning model, respectively. The proposed scheme initially learns the error types/processes and then compensates the error due to data processing and the projective measurement all in the computational basis.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115325617","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
Enhancing Image Resolution with Generative Adversarial Networks 用生成对抗网络增强图像分辨率
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919520
Beytullah Yildiz
{"title":"Enhancing Image Resolution with Generative Adversarial Networks","authors":"Beytullah Yildiz","doi":"10.1109/UBMK55850.2022.9919520","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919520","url":null,"abstract":"Super-resolution is the process of generating high-resolution images from low-resolution images. There are a variety of practical applications used in real-world problems such as high-definition content creation, surveillance imaging, gaming, and medical imaging. Super-resolution has been the subject of many researches over the past few decades, as improving image resolution offers many advantages. Going beyond the previously presented methods, Generative Adversarial Networks offers a very promising solution. In this work, we will use the Generative Adversarial Networks-based approach to obtain 4x resolution images that are perceptually better than previous solutions. Our extensive experiments, including perceptual comparison, Peak Signal-to-Noise Ratio, and classification success metrics, show that our approach is quite promising for image super-resolution.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127457982","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
Towards a Multilingual Platform for Gamified Morphology Learning 面向游戏化形态学学习的多语言平台
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919484
F. Bektaş, Bihter Dereli, Furkan Hayta, Erkin Şahin, Ubey Ali, Gülşen Eryiğit
{"title":"Towards a Multilingual Platform for Gamified Morphology Learning","authors":"F. Bektaş, Bihter Dereli, Furkan Hayta, Erkin Şahin, Ubey Ali, Gülşen Eryiğit","doi":"10.1109/UBMK55850.2022.9919484","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919484","url":null,"abstract":"Mobile-assisted language learning is an emerging trend in language education. Recently, the use of gamification for complex morphology learning has been perceived positively by morphologically rich language learners (namely, Turkish as a foreign language learners). Generating automatic explicit grammar exercises with the use of finite-state transducers (FST) in a gamified environment is a new and practical approach in this field. The integration of such platforms into new languages should be easily implementable in order to reduce the development efforts. This study is a first attempt towards this goal. The paper introduces an architecture for a multilingual platform supporting gamified morphology learning. As a test case, the French language module is developed in addition to Turkish. Experiences with these languages are explained and the stages for adding additional languages are described. The study reveals that morphological complexity is an important issue to consider, and the morphological differences of the target language should be considered while designing a mobile language learning application.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127628747","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
MorphUz: Morphological Analyzer for the Uzbek Language MorphUz:乌兹别克语的形态分析器
2022 7th International Conference on Computer Science and Engineering (UBMK) Pub Date : 2022-09-14 DOI: 10.1109/UBMK55850.2022.9919579
N. Abdurakhmonova, Ismailov Alisher, Rano Sayfulleyeva
{"title":"MorphUz: Morphological Analyzer for the Uzbek Language","authors":"N. Abdurakhmonova, Ismailov Alisher, Rano Sayfulleyeva","doi":"10.1109/UBMK55850.2022.9919579","DOIUrl":"https://doi.org/10.1109/UBMK55850.2022.9919579","url":null,"abstract":"The Uzbek language is an agglutinative language in that words are derived from stems (root) by concatenating affixes. This property makes a large number of combinations of morphemes, and greatly increases the word-vocabulary size. Therefore, words are split into certain sub-word units and applied to text and speech processing applications. Proper sub-word units not only provide high coverage and smaller lexicon size, but also provide semantic and syntactic information that is necessary for downstream applications. This paper discusses a morphological analyzer tool for natural language processing and machine learning purpose. The tool named MorphUz, which can split a text of words into a sequence of morphemes. Morphological analyzer is one of the main part of the natural language processing. MorphUz analyzer is an open-source morphological analyzer for the Uzbek language. The MorphUz analyzer is available as a website for exploration. MorphUz analyzer implements the morphology of the Uzbek language following a two-level approach using stemming and suffix analyzer. The implementation of MorphUz analyzer done by using PHP and JavaScript scripts and MySQL database.","PeriodicalId":417604,"journal":{"name":"2022 7th International Conference on Computer Science and Engineering (UBMK)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131012637","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
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