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Utilizing unmanned aerial vehicle technology for environmental monitoring: Future trends, methods, and applications 利用无人飞行器技术进行环境监测：未来趋势、方法和应用
IF 0.9
Internet Technology Letters Pub Date : 2024-04-02 DOI: 10.1002/itl2.526
Yunting Li, Xing-Zhou Li
{"title":"Utilizing unmanned aerial vehicle technology for environmental monitoring: Future trends, methods, and applications","authors":"Yunting Li,&nbsp;Xing-Zhou Li","doi":"10.1002/itl2.526","DOIUrl":"10.1002/itl2.526","url":null,"abstract":"<p>This paper provides an overview of the application of Unmanned Aerial Vehicles (UAVs) in environmental monitoring, with a focus on air pollution surveillance. Initially, the paper highlights the significance of UAV technology for real-time air quality monitoring in developing countries and explores the characteristics of fixed-wing and multirotor UAVs in monitoring air pollutants. It then delves into methods of measuring air pollutants using UAV platforms, including the three-dimensional distribution of pollutants around roadsides, green belts, and street-facing communities. The advantages of UAV measurements, such as lower costs, greater flexibility, and the ability to monitor in three dimensions, are emphasized. Finally, the paper discusses future trends in the field of environmental monitoring using UAVs, including technological advancements, evolving regulatory policies, and integration with other technologies like Artificial Intelligence, big data analytics, and 5G communication. These developments suggest an increasingly significant role for UAVs in environmental monitoring, enhancing efficiency, reducing costs, and contributing to public participation and environmental awareness. However, due to the delays in publication and review processes, the most recent studies may not have been included in the literature review, leading to a scenario where the review might not reflect the latest research trends.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"8 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140752842","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
Fault monitoring method for misalignment replacement operation error of electricity acquisition system based on internet of things engineering evaluation 基于物联网工程评估的电力采集系统错位更换操作错误的故障监测方法
IF 0.9
Internet Technology Letters Pub Date : 2024-04-02 DOI: 10.1002/itl2.521
Yinghui Lu, Jiyang Zhu
{"title":"Fault monitoring method for misalignment replacement operation error of electricity acquisition system based on internet of things engineering evaluation","authors":"Yinghui Lu,&nbsp;Jiyang Zhu","doi":"10.1002/itl2.521","DOIUrl":"10.1002/itl2.521","url":null,"abstract":"<p>With the rapid development of Internet of Things (IoT) technology, electricity collection systems have been widely used in various fields. It can connect various items to the internet and achieve remote monitoring and maintenance of devices. During the operation of the electricity collection system, there may be issues such as misalignment due to various reasons, which can lead to errors in data collection and affect the accuracy and stability of the system. How to timely monitor the operational errors of the system and replace and repair them has become an urgent problem to be solved. The fault location algorithm can accurately diagnose the cause of the fault and provide corresponding repair suggestions, thereby reducing maintenance costs and optimizing the efficiency of the electricity collection system. This article would analyze the monitoring method for the misalignment replacement operation error of the power acquisition system based on IoT engineering analysis, and used fault location algorithms to locate its misalignment. The research results indicated that, under the same other conditions, the total satisfaction score of the X system was 253 points, and the total satisfaction score of the Y system was 141 points. The score of the X system was much higher than that of the Y system. The results indicated that IoT engineering analysis could optimize the monitoring method for operational errors caused by inaccurate replacement of electricity acquisition systems, and there was a positive relationship between the two.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"7 4","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140755401","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
Fake news detection in the Hindi language using multi-modality via transfer and ensemble learning 通过迁移和集合学习使用多模式检测印地语中的假新闻
IF 0.9
Internet Technology Letters Pub Date : 2024-04-01 DOI: 10.1002/itl2.523
Sonal Garg, Dilip Kumar Sharma
{"title":"Fake news detection in the Hindi language using multi-modality via transfer and ensemble learning","authors":"Sonal Garg,&nbsp;Dilip Kumar Sharma","doi":"10.1002/itl2.523","DOIUrl":"10.1002/itl2.523","url":null,"abstract":"<p>Fake news classification emerged as an exciting topic for machine learning and artificial intelligence researchers. Most of the existing literature on fake news detection is based on the English language. Hence, it needs more usability. Fake news detection in low-resource scare languages is still challenging due to the absence of large annotated datasets and tools. In this work, we propose a large-scale Indian news dataset for the Hindi language. This dataset is constructed by scraping different reliable fact-checking websites. The LDA approach is adopted to assign the category to news statements. Various machine-learning and transfer learning approaches are applied to verify the authenticity of the dataset. Ensemble learning is also applied based on the low false-positive rate of machine-learning classifiers. A multi-modal approach is adopted by combining LSTM with VGG-16 and VGG-19 classifiers. LSTM is used for textual features, while VGG-16 and VGG-19 are applied for image analysis. Our proposed dataset has achieved satisfactory performance.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"8 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140782220","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
BDD efficiency: Survey of BDD edge ordering algorithms in network reliability BDD 效率：网络可靠性中的 BDD 边排序算法调查
IF 0.9
Internet Technology Letters Pub Date : 2024-04-01 DOI: 10.1002/itl2.525
Aakash Chauhan, Gourav Verma
{"title":"BDD efficiency: Survey of BDD edge ordering algorithms in network reliability","authors":"Aakash Chauhan,&nbsp;Gourav Verma","doi":"10.1002/itl2.525","DOIUrl":"10.1002/itl2.525","url":null,"abstract":"<p>Network reliability analysis is vital for ensuring efficient and error-free communication within networking and communication applications. Binary Decision Diagrams (BDDs) have emerged as a powerful tool for analyzing and optimizing complex network infrastructures. The objective of this research paper is to conduct a comparative analysis of edge-ordering algorithms for network reliability using BDDs the study aims to evaluate and compare existing algorithms, providing valuable insights for selecting suitable edge-ordering algorithms that enhance network reliability. The paper concludes that snooker is outperforming among selected algorithms.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"7 6","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140756351","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 semantic big data analysis method based on enhanced neural networks in IoT 基于增强型神经网络的物联网语义大数据分析方法
IF 0.9
Internet Technology Letters Pub Date : 2024-03-28 DOI: 10.1002/itl2.524
Chongke Wang
{"title":"A semantic big data analysis method based on enhanced neural networks in IoT","authors":"Chongke Wang","doi":"10.1002/itl2.524","DOIUrl":"10.1002/itl2.524","url":null,"abstract":"<p>Due to the growth of neural networks, the semantic big data analysis method can classify images at the pixel level, which is very suitable for the needs of IoT. In semantic big data analysis methods, the DeepLab algorithm is an improved and highly accurate algorithm based on enhanced neural networks. However, the DeepLab algorithm does not fully utilize global information, resulting in poor performance for complex scenes. Therefore, this article makes improvements by introducing a global context information module and providing prior information of complex scenes in images. It extracts global information and merges with original features. It improves the expression ability of features. This global context can enhance the accuracy of semantic big data analysis method, and an attention mechanism is designed. The experimental results display that the improved DeepLab semantic big data analysis method based on self-attention and global context module has good average pixel accuracy and average intersection to union ratio performance on the Pascal VOC 2012 dataset. And the improvement effect is significant.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"7 4","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140371956","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
Multi-objective prairie dog optimization algorithm for IoT-based intrusion detection 基于物联网的入侵检测多目标草原犬优化算法
IF 0.9
Internet Technology Letters Pub Date : 2024-03-21 DOI: 10.1002/itl2.516
Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta
{"title":"Multi-objective prairie dog optimization algorithm for IoT-based intrusion detection","authors":"Shubhkirti Sharma,&nbsp;Vijay Kumar,&nbsp;Kamlesh Dutta","doi":"10.1002/itl2.516","DOIUrl":"10.1002/itl2.516","url":null,"abstract":"<p>Detecting unauthorized access, unusual activities, and data is significant for the security of IoT networks as it helps identify malfunctioning, faults, and intrusions. Intrusion detection methods analyze network information to identify potential misuse or intrusion attacks. This research proposes a multi-objective prairie dog optimization algorithm (MPDA) to improve its ability to deal with feature selection problems. The proposed algorithm is modified by incorporating the concepts of an archive, grid, and non-dominance. An archive and a grid are used to save intermediate best results and improve the diversity, respectively. The non-dominance concept is employed to deal with multiple objectives. On the NSL-KDD, CIC-IDS2017, and IoTID20 datasets, MPDA achieves fewer features, higher accuracy, and lower false alarm rates. MPDA outperforms simple classifiers and state-of-art multiobjective optimization algorithms in intrusion detection.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"7 6","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140221334","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
Semantic sensor data annotation method for industrial scene efficiency optimization to enable digital economy 面向工业场景效率优化的语义传感器数据标注方法，助力数字经济发展
IF 0.9
Internet Technology Letters Pub Date : 2024-03-14 DOI: 10.1002/itl2.508
Na Tao, Tao Zhang
{"title":"Semantic sensor data annotation method for industrial scene efficiency optimization to enable digital economy","authors":"Na Tao,&nbsp;Tao Zhang","doi":"10.1002/itl2.508","DOIUrl":"https://doi.org/10.1002/itl2.508","url":null,"abstract":"<p>In the digital economy era, efficiently leveraging the vast amount of sensor data generated by the Industrial Internet of Things (IIoT) is essential. This paper presents an innovative semantic annotation method for industrial sensor data, designed to optimize data processing and enhance system efficiency. Our method combines cluster analysis, ontology development, and rule-based reasoning to automatically annotate IIoT sensory data. By utilizing data aggregation and filtering mechanisms, which incorporate the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm and a rule engine, we significantly reduce the data volume required for annotation. The Semantic Web Rule Language aids in naming new concepts and properties identified through clustering, contributing further to the automation of data processing. Experimental results, using public datasets, validate the effectiveness of our method, showing a reduction in data volume by about 20% and underscoring its potential in enhancing industrial systems' automation and overall efficiency.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"7 4","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597150","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
Wearing sensor data integration for promoting the performance skills of music in IoT 整合穿戴式传感器数据，提升物联网音乐表演技能
IF 0.9
Internet Technology Letters Pub Date : 2024-03-14 DOI: 10.1002/itl2.517
Xiaochan Li, Yi Shi, Daohua Pan
{"title":"Wearing sensor data integration for promoting the performance skills of music in IoT","authors":"Xiaochan Li,&nbsp;Yi Shi,&nbsp;Daohua Pan","doi":"10.1002/itl2.517","DOIUrl":"https://doi.org/10.1002/itl2.517","url":null,"abstract":"<p>This study integrates multi-node wearable sensor data to improve music performance skills. A window-adding method is used during time-frequency feature extraction. By incorporating kernel functions, we present a generalized discriminant analysis (GDA) method to reduce the high-dimensional sensor features while retaining performance traits. Experiments demonstrate that the proposed GDA approach achieves higher accuracy (92.71%), precision (90.54%), and recall (88.68%) compared to linear discriminant analysis (82.39% accuracy) and principal component analysis (88.56% accuracy) in classifying motions performed by music performers. The integrated analysis of wearable sensor data facilitates comprehensive feedback to strengthen proficiency across various music performance skills.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"7 4","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141597149","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
Multimodal information fusion method in emotion recognition in the background of artificial intelligence 人工智能背景下情绪识别中的多模态信息融合方法
IF 0.9
Internet Technology Letters Pub Date : 2024-03-12 DOI: 10.1002/itl2.520
Zhen Dai, Hongxiao Fei, Chunyan Lian
{"title":"Multimodal information fusion method in emotion recognition in the background of artificial intelligence","authors":"Zhen Dai,&nbsp;Hongxiao Fei,&nbsp;Chunyan Lian","doi":"10.1002/itl2.520","DOIUrl":"10.1002/itl2.520","url":null,"abstract":"<p>Recent advances in Semantic IoT data integration have highlighted the importance of multimodal fusion in emotion recognition systems. Human emotions, formed through innate learning and communication, are often revealed through speech and facial expressions. In response, this study proposes a hidden Markov model-based multimodal fusion emotion detection system, combining speech recognition with facial expressions to enhance emotion recognition rates. The integration of such emotion recognition systems with Semantic IoT data can offer unprecedented insights into human behavior and sentiment analysis, contributing to the advancement of data integration techniques in the context of the Internet of Things. Experimental findings indicate that in single-modal emotion detection, speech recognition achieves a 76% accuracy rate, while facial expression recognition achieves 78%. However, when state information fusion is applied, the recognition rate increases to 95%, surpassing the national average by 19% and 17% for speech and facial expressions, respectively. This demonstrates the effectiveness of multimodal fusion in emotion recognition, leading to higher recognition rates and reduced workload compared to single-modal approaches.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"7 4","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140250633","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
PAPR reduction using model-driven hybrid algorithms in the 6G NOMA waveform 在 6G NOMA 波形中使用模型驱动混合算法降低 PAPR
IF 0.9
Internet Technology Letters Pub Date : 2024-03-05 DOI: 10.1002/itl2.515
Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong
{"title":"PAPR reduction using model-driven hybrid algorithms in the 6G NOMA waveform","authors":"Arun Kumar,&nbsp;Nishant Gaur,&nbsp;Aziz Nanthaamornphong","doi":"10.1002/itl2.515","DOIUrl":"10.1002/itl2.515","url":null,"abstract":"<p>In the evolving landscape of sixth-generation (6G) network technologies, Non-Orthogonal Multiple Access (NOMA) systems are pivotal for achieving enhanced spectral efficiency and network capacity. However, a significant challenge in NOMA systems is the high Peak-to-Average Power Ratio (PAPR), which undermines system efficiency by necessitating high-power amplifiers (HPAs) to operate in their less efficient, non-linear range. Addressing this, we introduce a novel hybrid approach, the Selective Mapping-Circular Transformation Method (SLM-CTM), which ingeniously amalgamates the strengths of Selective Mapping (SLM) and the Circular Transformation Method (CTM) to mitigate PAPR issues. SLM is renowned for its peak power reduction capabilities without adding to system complexity, whereas CTM is valued for its simplicity and controlled signal distortion. The proposed SLM-CTM strategy employs a blend of linear and nonlinear techniques to effectively lower PAPR in non-orthogonal NOMA configurations, thereby reducing high-power peaks while simultaneously enhancing signal quality. This paper delineates the application of the SLM-CTM algorithm to evaluate critical NOMA parameters such as Power Spectral Density (PSD), Bit Error Rate (BER), and PAPR. Simulation results highlight the efficacy of SLM-CTM over conventional SLM, demonstrating a significant throughput improvement of 3.2 dB and a PAPR reduction of 4.6 dB, underscoring the potential of SLM-CTM in elevating the performance of NOMA systems within 6G network.</p>","PeriodicalId":100725,"journal":{"name":"Internet Technology Letters","volume":"7 6","pages":""},"PeriodicalIF":0.9,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140263278","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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