2022 International Conference on Engineering and Emerging Technologies (ICEET)最新文献

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A combination of Broyden-Fletcher-Goldfarb-Shanno (BFGS) and bisection method for solving portfolio optimization problems 结合Broyden-Fletcher-Goldfarb-Shanno (BFGS)和二分法求解投资组合优化问题
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007369
Krassimira Stoyanova, T. Balabanov
{"title":"A combination of Broyden-Fletcher-Goldfarb-Shanno (BFGS) and bisection method for solving portfolio optimization problems","authors":"Krassimira Stoyanova, T. Balabanov","doi":"10.1109/ICEET56468.2022.10007369","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007369","url":null,"abstract":"In this paper, a new search method known as bisection method is used to obtain the value of objective function and the optimal proportions in a portfolio of six assets in Broyden-Fletcher-Goldfarb-Shanno method. The purpose of this work is to demonstrate how the development of these large-scale optimization methods might help portfolio selection. This research reviews them and shows how they can be implemented in portfolio selection. Based on historical data for six assets, an experimental model is solved with a combination by BFGS and bisection method, as the section of the return interval was reduced by half. The results show that this technique is effective and successful in solving of the portfolio optimization model.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129888102","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
Development of an IoT based DAQ system for PV monitoring and management 开发基于物联网的光伏监测与管理数据采集系统
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007393
Saeed Ahmad, M. Shakir, Bilal Ahmad, Zain Aslam, M. Qaiser, S. Aslam
{"title":"Development of an IoT based DAQ system for PV monitoring and management","authors":"Saeed Ahmad, M. Shakir, Bilal Ahmad, Zain Aslam, M. Qaiser, S. Aslam","doi":"10.1109/ICEET56468.2022.10007393","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007393","url":null,"abstract":"The electricity demand has been continuously increasing in recent years due to the population increase, rapid economic growth and exponential depletion of non-renewable energy sources. Renewable energy sources are heavily contributing to meet the energy demands throughout the world. Pakistan is situated in highly feasible region for solar power, as average daily sunshine is about 10-11 hours in summer and 6-7 hours in winter. However, supervision and power management of PV system is not currently deployed in Pakistan to a larger extent at most sites. Therefore, in this research work an IoT based data acquisition (DAQ) system is developed to acquire important parameters i.e., voltage, current of PV panel, battery voltage and the power being consumed by load. This data is sent to the gateway and it will be displayed on digital platform. Moreover, gateway will also produce alerts on certain critical condition of PV system and these alerts will be highlighted on the dashboard remotely. The timely intimation of problems occurrence in the PV system will ensure its reliable and efficient operation.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125422217","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
Analysis of Acoustic Correlates of Marathi Prosodic Features for Human-Machine Interaction 马拉地语人机交互韵律特征的声学关联分析
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007268
Trupti K. Harhare, M. Shah
{"title":"Analysis of Acoustic Correlates of Marathi Prosodic Features for Human-Machine Interaction","authors":"Trupti K. Harhare, M. Shah","doi":"10.1109/ICEET56468.2022.10007268","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007268","url":null,"abstract":"The prosodic feature study gives insight into the suprasegmental properties of speech. Researchers have been studying acoustic features of prosody worldwide to design a model for prosody in various languages to make human-machine interaction natural. This study focuses on the interface between linguistics and technology, particularly for less studied languages like Marathi, to improve human-machine interaction applications by investigating acoustic correlates of various prosodic features of Marathi emotional utterances. The Marathi language, spoken in the Indian states of Maharashtra and Goa, has received relatively little attention for prosody. Due to a lack of appropriate resources, studying the prosodic features of the Marathi language was difficult. With the help of seven male and four female actors, we created a database of 440 Marathi utterances in the four main emotion styles—anger, happiness, fear, and neutral. The acoustic correlates of prosody were calculated from the recorded dataset using PRAAT software. According to this study, the prosodic characteristics of Marathi emotional utterances alter in response to emotions. However, anger and happiness; and fear and neutral emotions share somewhat similar acoustic properties.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126730515","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
Mixed Reality-based Outdoor Training System to Improve Football Player Performance 基于混合现实的户外训练系统提高足球运动员的表现
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007354
Jihyung Kim, J. Ka, Yelin Lee, Younghak Lee, S. Park, Wooksung Kim
{"title":"Mixed Reality-based Outdoor Training System to Improve Football Player Performance","authors":"Jihyung Kim, J. Ka, Yelin Lee, Younghak Lee, S. Park, Wooksung Kim","doi":"10.1109/ICEET56468.2022.10007354","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007354","url":null,"abstract":"With the development of ICT technology, various technologies that can improve players’ performance in the sports field are being developed. In particular, immersive technology can be implemented in virtual space for various situations that are difficult to implement without space-time constraints. In this paper, we propose MR-based outdoor training system to improve football player performance. This proposed system is developed via Unity3D and MRTK and designed suitable for Microsoft HoloLens 2. This system allows users to switch freely and facilitates iterative analysis and prediction. We expect that this system can improve the user’s performance to analyze the situation.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123415123","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
Shapelet Selection for Efficient Time Series Classification by Dynamic Time Warping 基于动态时间翘曲的高效时间序列分类小波选择
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007242
Hyungseok Yun, Gilseung Ahn, S. Hur
{"title":"Shapelet Selection for Efficient Time Series Classification by Dynamic Time Warping","authors":"Hyungseok Yun, Gilseung Ahn, S. Hur","doi":"10.1109/ICEET56468.2022.10007242","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007242","url":null,"abstract":"Shapelets are often used to solve time series classification problems and have a major drawback that they require high computational complexity in the extraction process. In order to solve this problem, many researchers have developed methods to obtain shapelets efficiently, but their classification performances are not good or they require hyperparameters. In this study, we propose a shapelet selection method using DTW(dynamic time warping). The proposed method searches for frequent patterns occurring in time series through the warping path of DTW and uses it as shapelets. To validate the proposed method, twenty-one benchmark datasets of time series are applied to our method and the existing methods, with which the classification accuracy and shapelet extraction time are compared. The proposed method shows no significant difference from the previous studies in computation time, while attains excellent performance in classification accuracy.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122996847","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 Content-Based Collaborative Filtering Movie Recommendation System using Keywords Extractions 基于内容的关键词抽取协同过滤电影推荐系统
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007345
Mtuthuko Mngomezulu, Ritesh Ajoodha
{"title":"A Content-Based Collaborative Filtering Movie Recommendation System using Keywords Extractions","authors":"Mtuthuko Mngomezulu, Ritesh Ajoodha","doi":"10.1109/ICEET56468.2022.10007345","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007345","url":null,"abstract":"The main focus of this research is to develop a Content-Based Collaborative Filtering model that uses different automated keyword extraction techniques to recommend movies to a user. Recommender systems predict consumers’ preferences for products and provide proactive suggestions for items they would enjoy. Collaborative filtering, content-based, and hybrid recommendation models are the most common types of recommendation models. Collaborative filtering generates suggestions based on previous interactions between the user and the item, whereas the majority of content-based recommendations are based on item comparisons. The majority of hybrid recommender systems are made up of a mix of collaborative filtering and content-based recommender models. The Content-Based method was used as the main model in this study, with Term Frequency - Inverse Document Frequency (TF-IDF) and Rapid Automatic Keyword Extraction (RAKE) algorithms serving as keyword extractors. A total of 244 movies were recommended using keywords from each extractor, with the highest average of 33% of the movies recommended from each being identical. Taking comparable movies into account, we can propose them to a user.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122955609","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
Estimation of Mobile Phone Prices with Machine Learning 用机器学习估计手机价格
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007128
Ayşenur Kalmaz, Osman Akın
{"title":"Estimation of Mobile Phone Prices with Machine Learning","authors":"Ayşenur Kalmaz, Osman Akın","doi":"10.1109/ICEET56468.2022.10007128","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007128","url":null,"abstract":"Smart phones are getting attractive for people day by day with different features. When buying a phone, there are lots of features to look besides the price. There is no basic way to determine a telephone price according to its characteristics. Machine learning methods help to solve such a problem with minimal errors recently. But it remains that which algorithm is best suitable to solve that kind of problem. To eliminate this burden, we have investigated different machine learning algorithm on guessing telephone prices. For this one, we have used a dataset from the Kaggle that contains phone prices and features. We have performed an analysis with 25 algorithms using twenty different attributes that are effective on phone prices. The result show that the highest value with the accuracy rate of 0.9470 performed in the SVC algorithm.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128102942","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
Implementation of Matrix Drone Show Using Automatic Path Generator with DJI Tello Drones 基于DJI Tello无人机的自动路径生成器实现矩阵式无人机显示
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007090
Ny Virbora, Un Sokoeun, M. Saran, Sous Sovicheyratana, Channareth Srun, Srun Channareth, Srim Saravuth
{"title":"Implementation of Matrix Drone Show Using Automatic Path Generator with DJI Tello Drones","authors":"Ny Virbora, Un Sokoeun, M. Saran, Sous Sovicheyratana, Channareth Srun, Srun Channareth, Srim Saravuth","doi":"10.1109/ICEET56468.2022.10007090","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007090","url":null,"abstract":"In this paper described the process of designing and applying 100 DJI Tello EDU drones to display various characters following from A to Z and 0 to 9 as letters and words. The drones are divided into four groups, each of 25 drones. Each drone is connected to a wireless access point where the mission control center operates the command to each drone individually in parallel to display the expected letter or words. Python is the programming language used for commanding and controlling the operation. The communication between drones and the mission control computer is done wirelessly with Wi-FiS02.11N technology running at a 2. 4GHz frequency. Each drone is assigned to a specific IP address as an ID based on the unique Media Access Control (MAC) address. To communicate with the drones, the User Diagram Protocol (UDP) protocol is used for the communication. As a result, the matrix drone can perform different flights showing different characters and words including various custom 3D shapes.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133485804","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
Port Scanning Mitigation Strategies for Penetration Testing: Blue Team Perspective 渗透测试的端口扫描缓解策略:蓝队视角
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007258
R. Vadivel, S. Mayukha
{"title":"Port Scanning Mitigation Strategies for Penetration Testing: Blue Team Perspective","authors":"R. Vadivel, S. Mayukha","doi":"10.1109/ICEET56468.2022.10007258","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007258","url":null,"abstract":"Port scanning technique is one of the most common kinds of system enumeration for hackers for active scanning. Active scanning is the initial attack of hackers to survey the system and then gather information based on open ports etc. After the information is ready, the hackers prepare an attack based on the available information. This often leads to loss of data or service for an enterprise or an individual. It might even be monetary loss. Penetration testing is like quality analysis where the pentesters carry out relative tasks to secure the system. So that attacks like port scanning are rendered useless for the hackers against the system. Taking defensive measurements against attacks are referred to as blue team activities. This paper covers the attack of port scanning and the defensive measures that can be taken against the port scanning attack to secure an enterprise or individual system.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132288087","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
Image Quality Assessment Methods for NearInfrared Wildfire Imagery. 近红外野火图像质量评价方法。
2022 International Conference on Engineering and Emerging Technologies (ICEET) Pub Date : 2022-10-27 DOI: 10.1109/ICEET56468.2022.10007146
Zimbini Faniso-Mnyaka, Vusi Skosana, Muhammad Nana, E. Magidimisha
{"title":"Image Quality Assessment Methods for NearInfrared Wildfire Imagery.","authors":"Zimbini Faniso-Mnyaka, Vusi Skosana, Muhammad Nana, E. Magidimisha","doi":"10.1109/ICEET56468.2022.10007146","DOIUrl":"https://doi.org/10.1109/ICEET56468.2022.10007146","url":null,"abstract":"Over the past two decades, there has been a surge of interest in the study of image quality assessment due to its broad applicability in many fields. Satellites and other remote sensing applications have been collecting vital data that is utilised to monitor targets or events in varying environmental conditions all over the world. Some of these collections include images of natural disasters and anthropogenic events such as wildfires, floods, and drought, among others. However, appropriate image quality assessment techniques have been lacking for image fusion and other remote sensing applications where the information is not targeting the human visual system. Currently, there are several perceptual image quality assessment methods that can be applied depending on the image sensor type. In this paper, we focus on various no-reference general and specific image quality methods that can be used to evaluate remote sensing images for fire detection. Further, we evaluate the effectiveness of the non-referential image quality techniques applied in the processing of airborne sensor images, notably those for fire detection, and correlate the effectiveness of these techniques to the accuracy of detection. In this paper Image quality assessment (IQA) methods such as entropy, BRISQUE, MUSIQ, exposure, and CPBD are analyzed along with methods for image distortion, i.e., Gaussian blur, and image enhancement such as HE, AHE, and CLAHE. Therefore, the no-reference image quality assessment investigation will contribute to the detection and correction of image quality processing issues in wildfires.","PeriodicalId":241355,"journal":{"name":"2022 International Conference on Engineering and Emerging Technologies (ICEET)","volume":"243 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134500269","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
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