2023 6th International Conference on Information and Computer Technologies (ICICT)最新文献_第2页

Long Text Classification Using Pre-trained Language Model for a Low-Resource Language 基于预训练语言模型的低资源语言长文本分类

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/icict58900.2023.00026

Hailemariam Mehari Yohannes, T. Amagasa

引用次数: 0

Comparison of Machine and Deep Learning Models for the Prediction of Land Degradation 机器和深度学习模型在土地退化预测中的比较

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/ICICT58900.2023.00009

Joshua Edwards, Gülüstan Dogan, N. Pricope

引用次数: 1

mpiPython: Prospects for Node Performance mpiPython:展望节点性能

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/ICICT58900.2023.00038

Judah Nava, Hanku Lee

引用次数: 0

A Combined Method for Face Recognition 一种人脸识别的组合方法

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/ICICT58900.2023.00021

Laura Mukhamadiyeva, A. Moldagulova

引用次数: 0

Representation Theorems Obtained by Mining across Web Sources for Hints 通过跨Web源挖掘提示获得的表示定理

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/ICICT58900.2023.00041

M. Caminati, J. Bowles

{"title":"Representation Theorems Obtained by Mining across Web Sources for Hints","authors":"M. Caminati, J. Bowles","doi":"10.1109/ICICT58900.2023.00041","DOIUrl":"https://doi.org/10.1109/ICICT58900.2023.00041","url":null,"abstract":"A representation theorem relates different mathematical structures by providing an isomorphism between them: that is, a one-to-one correspondence preserving their original properties. Establishing that the two structures substantially behave in the same way, representation theorems typically provide insight and generate powerful techniques to study the involved structures, by cross-fertilising between the methodologies existing for each of the respective branches of mathematics. When the related structures have no obvious a priori connection, however, such results can be, by their own nature, elusive. Here, we show how data-mining across distinct web sources (including the Online Encyclopedia of Integer Sequences, OEIS), was crucial in the discovery of two original representation theorems relating event structures (mathematical structures commonly used to represent concurrent discrete systems) to families of sets (endowed with elementary disjointness and subset relations) and to full graphs, respectively. The latter originally emerged in the apparently unrelated field of bioinformatics. As expected, our representation theorems are powerful, allowing to capitalise on existing theorems about full graphs to immediately conclude new facts about event structures. Our contribution is twofold: on one hand, we illustrate our novel method to mine the web, resulting in thousands of candidate connections between distinct mathematical realms; on the other hand, we explore one of these connections to obtain our new representation theorems. We hope this paper can encourage people with relevant expertise to scrutinize these candidate connections. We anticipate that, building on the ideas presented here, further connections can be unearthed, by refining the mining techniques and by extending the mined repositories.","PeriodicalId":425057,"journal":{"name":"2023 6th International Conference on Information and Computer Technologies (ICICT)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127261104","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

Detecting Fake News Using Machine Learning Based Approaches 使用基于机器学习的方法检测假新闻

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/ICICT58900.2023.00027

Ty Edwards, Ridwan Rashid Noel

引用次数: 0

Improved Consistency in Price Negotiation Dialogue System Using Parameterized Action Space with Generative Adversarial Imitation Learning 基于生成对抗模仿学习的参数化动作空间改进价格谈判对话系统一致性

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/ICICT58900.2023.00039

Makoto Sato, T. Takagi

{"title":"Improved Consistency in Price Negotiation Dialogue System Using Parameterized Action Space with Generative Adversarial Imitation Learning","authors":"Makoto Sato, T. Takagi","doi":"10.1109/ICICT58900.2023.00039","DOIUrl":"https://doi.org/10.1109/ICICT58900.2023.00039","url":null,"abstract":"A price negotiation dialogue system should not only gain profit but also pay attention to the negotiation process, such as the consistency of price proposals. In particular, when using a parameterized action space to make price proposals as a continuous action, the proposals can be more flexible but potentially inconsistent. In this study, we propose introducing Generative Adversarial Imitation Learning (GAIL) to price negotiation dialogues with a parameterized action space. To the best of our knowledge, this is the first case study to introduce GAIL in parameterized action space. In addition, we work on extending the dialogue act to maintain consistency, and on combining parameteried action reinforcement learning(RL) and GAIL by using Multi-Critic. The proposed method is applied to the CRAIGSLISTBARGAIN negotiation task, which is a practical negotiation task and is trained in a multi-agent format as a seller and buyer without using a simulator, and is evaluated by interacting with agents that combine supervised learning and rule-based methods. The results show that GAIL can reduce price inconsistencies better than RL with the designed reward function for consistency maintenance or the combination of RL and behavior cloning. Furthermore, we confirmed that the combined method of RL with the designed reward function and GAIL can reduce price inconsistencies the most and also enhance profit-seeking abilities.","PeriodicalId":425057,"journal":{"name":"2023 6th International Conference on Information and Computer Technologies (ICICT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126715368","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

Penetration assessment and ways to combat attack on Android devices through StormBreaker - a social engineering tool 通过社会工程工具StormBreaker对Android设备进行渗透评估和打击攻击的方法

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/ICICT58900.2023.00043

E. Blancaflor, Harold Kobe S. Billo, Bianca Ysabel P. Saunar, John Michael P. Dignadice, Philip T. Domondon

{"title":"Penetration assessment and ways to combat attack on Android devices through StormBreaker - a social engineering tool","authors":"E. Blancaflor, Harold Kobe S. Billo, Bianca Ysabel P. Saunar, John Michael P. Dignadice, Philip T. Domondon","doi":"10.1109/ICICT58900.2023.00043","DOIUrl":"https://doi.org/10.1109/ICICT58900.2023.00043","url":null,"abstract":"With the continuous advancement of technology, it became necessary to use the internet to communicate and exchange information. Since the internet is a known open platform, malicious people also utilize it with the dangerous intention of exploiting confidential information. With unethical hacking, attackers ensure that the user does not discover their exploitation methods. At a higher level of hacking, the attacker aims not to be detected by security enhancement software or technical staff. Social media is one of the most common means of exposure to attacks such as social engineering, wherein individuals receive unsolicited e-mails, messages, or any form of text that contains a malicious link that can endanger their sensitive data. Most people are unaware of the security risks that may harm their identity and device. With this, the study conducted an online survey to determine whether people are knowledgeable of suspicious activities that may occur with a social engineering attack. The survey revealed that twenty-four (24) respondents are aware of suspicious URL links that can access their personal information when clicked. To further understand the methods of social engineering attacks, the researchers performed a simulation attack using StormBreaker, a Social Engineering Toolkit (SET). Results show that StormBreaker can access device information, accurate location, webcam or front camera, and device microphone. Thus, the researchers recommend implementing a firewall to enhance network security and to be more vigilant in internet usage.","PeriodicalId":425057,"journal":{"name":"2023 6th International Conference on Information and Computer Technologies (ICICT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124049940","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

Educational Group Formation Problem Resolution Based on an Improved Swarm Particle Optimization Using Fuzzy Knowledge 基于改进的模糊知识群粒子优化的教育群体形成问题求解

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/ICICT58900.2023.00010

Bikhtiyar Hasan, A. Boufaied

{"title":"Educational Group Formation Problem Resolution Based on an Improved Swarm Particle Optimization Using Fuzzy Knowledge","authors":"Bikhtiyar Hasan, A. Boufaied","doi":"10.1109/ICICT58900.2023.00010","DOIUrl":"https://doi.org/10.1109/ICICT58900.2023.00010","url":null,"abstract":"In educational context, instructors usually partition students into collaborative learning teams to perform collaborative learning tasks. Indeed, one of the grouping criteria most utilized by instructors is based on the students’ roles and on forming similar teams according to the roles of their members which is costly and complex. In this paper, we address the optimization problem of forming automatically learning teams by minimizing the knowledge-difference cost among formed teams. The knowledge index of each group depends on the Belbin roles of their students’ members in the form of a sum of students’ fuzzy rating indexes. The proposed algorithm is called improved particle swarm optimization with multi-parent order crossover (IPSOMPOX). The multi-parent order crossover is used in IPSOMPOX in order to investigate new solutions in the search space and to accelerate the convergence of the proposed algorithm to the best global solution. To evaluate the performance of the proposed algorithm, we apply it on several different experiments with different numbers of teams and students. The proposed algorithm is compared with the standard PSO and has proved better performance are shown in our results.","PeriodicalId":425057,"journal":{"name":"2023 6th International Conference on Information and Computer Technologies (ICICT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130108567","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

Rainfall Forecasting with Variational Autoencoders and LSTMs 用变分自编码器和lstm进行降雨预报

2023 6th International Conference on Information and Computer Technologies (ICICT) Pub Date : 2023-03-01 DOI: 10.1109/ICICT58900.2023.00013

Eron Neill, Gülüstan Dogan

引用次数: 0