International Journal of Multidisciplinary Studies and Innovative Technologies最新文献_第4页

Sentiment Analysis Of Tweets Using Natural Language Processing 基于自然语言处理的推文情感分析

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.1.58

D. Ekmekci, Firas Shihab

{"title":"Sentiment Analysis Of Tweets Using Natural Language Processing","authors":"D. Ekmekci, Firas Shihab","doi":"10.36287/ijmsit.6.1.58","DOIUrl":"https://doi.org/10.36287/ijmsit.6.1.58","url":null,"abstract":"– Millions of people use Twitter and other social media sites to share their everyday thoughts in the form of tweets. It is a short and straightforward way of expressing oneself, which is a hallmark of tweeting. As a result, we concentrated on sentiment analysis of Twitter data in our research. Sentiment Analysis is a subset of natural language processing and text data mining. It is feasible to investigate sentiment analysis using Twitter data. performed in a number of different circumstances The technique of finding valuable patterns from textual data is referred to as sentiment analysis. Using particular analysis tools, these valuable patterns include evaluating and categorizing feelings as neutral, positive, or negative. The study's authors look at a range of information processing approaches, including sentiment analysis, Twitter's network structure, event dispersion across the network, and impact identification. There have been several ways described for exploring semantics for sentiment analysis, which can be classified into contextual semantic and conceptual semantic approaches. One of the most important disciplines of natural language processing is sentiment analysis. The technique of finding valuable patterns from textual data is referred to as sentiment analysis. According to this research, sentiment analysis applications will continue to develop in the future, and sentiment analytical approaches will become more standardized across systems and services. Because of the vast amount of data available, Twitter is one of the best virtual environments for tracking and monitoring information.","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133637112","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

Antenna Tracker Design With A Discrete Lyapunov Stability Based Controller For Mini Unmanned Aerial Vehicles 基于离散Lyapunov稳定控制器的小型无人机天线跟踪器设计

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.1.77

Mehmet Iscan, Ali Ihsan Tas, Berkem Vural, Ali Burak Ozden, Cuneyt Yilmaz

{"title":"Antenna Tracker Design With A Discrete Lyapunov Stability Based Controller For Mini Unmanned Aerial Vehicles","authors":"Mehmet Iscan, Ali Ihsan Tas, Berkem Vural, Ali Burak Ozden, Cuneyt Yilmaz","doi":"10.36287/ijmsit.6.1.77","DOIUrl":"https://doi.org/10.36287/ijmsit.6.1.77","url":null,"abstract":"– Communication systems have recently been very important in mini unmanned aerial vehicles (UAV), which include many research subjects. Directional antennas are generally used in communication systems, and they should continuously and efficiently follow the UAVs with minimal errors. For this purpose, an “Antenna Tracker” system, which is capable of real-time autonomous orientation based on GPS data from the UAV, was designed. In the beginning, the system’s 3-dimensional solid model was obtained in SOLIDWORKS TM and its dynamical model was made in MATLAB / Simulink TM environment. For controlling the system, a discrete-time model-based computed torque proportional controller, which is the state-of-the-art innovation in this study, was designed in two axes, and then its simulation studies were conducted on the STM32 board. The simulation studies showed that controlling the pan and tilt axes is sufficient for effective tracking, and the presented antenna tracker system is suitable for use in mobile ground control stations (GCS). By using a short sampling time for the controller, stable and precise antenna tracking is accomplished for a given reference path. When a 0.5 Hz sinusoidal reference signal input which is the maximum speed for any antenna tracker was used as a sample reference track, ±0.3- and ±0.6-degrees position error of pan and tilt angles were obtained, respectively. The controller can easily satisfy a smooth tracking operation with high accuracy.","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130142141","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: 3

Ensuring IoT Privacy using Padding Strategies against Machine Learning Approaches 使用填充策略对抗机器学习方法确保物联网隐私

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.2.193

Ahmet Emre Ergun, Özgü Can

{"title":"Ensuring IoT Privacy using Padding Strategies against Machine Learning Approaches","authors":"Ahmet Emre Ergun, Özgü Can","doi":"10.36287/ijmsit.6.2.193","DOIUrl":"https://doi.org/10.36287/ijmsit.6.2.193","url":null,"abstract":"– The widespread usage of Internet of Things (IoT) devices is increasing by the recent advances in embedded systems, cloud computing, artificial intelligence, and wireless communications. Besides, a huge amount of data is transmitted between IoT devices over insecure networks. The transferred data can be sensitive and confidential. On the other hand, these transmitted data may not appear to be sensitive or confidential data. However, machine learning techniques are used on these non-confidential data (such as packet length) to obtain data such as the type of the IoT device. An observer can monitor traffic to infer sensitive data by using machine learning techniques to analyze the generated encrypted traffic. For this purpose, padding can be added to the packets to ensure traffic privacy. This paper presents privacy problems that are caused by the traffic generated during the communication of IoT devices. Also, security and privacy measures that should be taken against the related privacy problems are explained. For this purpose, the current studies are examined by considering the attacker and the defender models.","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132936130","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

Machine Learning for E-triage 电子分诊的机器学习

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.1.86

Şebnem Bora, Aylin Kantarcı, A. Erdogan, Burak Beynek, Bita Kheibari, Vedat Evren, M. Erdoğan, Fulya Kavak, Fatmanur Afyoncu, Cansu Eryaz, H. Gönüllü

引用次数: 0

Consolidation of Rapidly Solidifying Al-6Si-0.3Cu Alloy by Spark Plasma Sintering and Cold Compaction Methods 快速凝固Al-6Si-0.3Cu合金的放电等离子烧结和冷压成形

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.2.198

F. Yasar, F. Yılmaz

引用次数: 0

A Novel Student Performance Evaluation Model Based on Fuzzy Logic for Distance Learning 基于模糊逻辑的远程学习学生成绩评价模型

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.1.29

Beyza Esin Ozseven, N. Çagman

引用次数: 0

SUGGESTION OF A DLP BASED STEREOLITHOGRAPHY 3D PRINTER 基于DLP的立体光刻3d打印机的建议

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.2.238

Mohammed Sahib, Guzin Tirkes

引用次数: 0

Development Of Led Based Optical Module for Bending/Cornering Functions of Automotive Headlights 基于Led的汽车前照灯弯曲/转弯功能光模块的开发

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.2.223

Ceren Altıngöz

引用次数: 0

Development of Infectious Waste Sterilization and Neutralization System 感染性废物灭菌中和系统的研制

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.2.152

S. P. Sari, N. S. Salahuddin, Sri Hayunningsih, R. Rochmawati, Ario Geraldi, Ichsan Purnama, Nora Trisna Tumewa

引用次数: 0

Makine Öğrenimi ile Uzun Kuyruk Ürünler için İyileştirilmiş Sonraki Öğe Önerisi

International Journal of Multidisciplinary Studies and Innovative Technologies Pub Date : 1900-01-01 DOI: 10.36287/ijmsit.6.1.97

Ahmet Zencirli, Harun Çetin, Nedim Tuğ, Engin Seven, Tolga Ensari

{"title":"Makine Öğrenimi ile Uzun Kuyruk Ürünler için İyileştirilmiş Sonraki Öğe Önerisi","authors":"Ahmet Zencirli, Harun Çetin, Nedim Tuğ, Engin Seven, Tolga Ensari","doi":"10.36287/ijmsit.6.1.97","DOIUrl":"https://doi.org/10.36287/ijmsit.6.1.97","url":null,"abstract":"Extended Abstract – Many different types of products can be sold on electronic commerce platforms. Products can be sold regardless of where customers are. The recommendation system on these platforms plays a critical role in selecting and displaying interesting products for users. In the study, the products to be purchased next to the customers were recommended in the most accurate way. For this, machine learning algorithms were used and the results were compared. The singular value decomposition (SVD) method has achieved more successful results. Research Problem/Questions – To make the most appropriate match between an infinite number of products and many customers in the most accurate way. Short Literature Review – Many algorithms have been developed for the best solution in recommendation systems that try to persuade their customers to sell niche products, and it is currently a subject open to research. Methodology and k nearest neighbor (kNN) algorithms are in the long queue in electronic commerce have been improved by developing the next item recommendation system. Results and Conclusions – Machine learning algorithms can be used to solve problems in product recommendation systems. The SVD method suggested less erroneous recommendations for large datasets.","PeriodicalId":166049,"journal":{"name":"International Journal of Multidisciplinary Studies and Innovative Technologies","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129723906","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