2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)最新文献_第4页

Hybrid grasshopper optimization algorithm with simulated annealing for feature selection using high dimensional dataset 高维数据集特征选择的模拟退火混合蚱蜢优化算法

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085104

Bibhuprasad Sahu, J. Ravindra, S. Mohanty, Amrutanshu Panigrahi

{"title":"Hybrid grasshopper optimization algorithm with simulated annealing for feature selection using high dimensional dataset","authors":"Bibhuprasad Sahu, J. Ravindra, S. Mohanty, Amrutanshu Panigrahi","doi":"10.1109/ICAISC56366.2023.10085104","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085104","url":null,"abstract":"In the era of machine learning, microarray data play a crucial role in identifying cancer diseases. The impact of redundant and noisy features degrades the learning model’s performance. It may also increase the computational cost. The curse of dimensionality is the major concern in the case of microarray datasets. To eliminate this issue, feature selection methods play an effective role. This study proposes a hybrid filter-wrapper feature selection model using mRMR_Plus as a filter and grasshopper optimization algorithm as a wrapper. In the first stage of the proposed model, a ranked base filter mRMR_Plus is used to identify the top-ranked features from the original dataset. Cross-operator embedded simulated annealing (SA) is adopted to basic grasshopper optimization to develop a new wrapper model. The proposed model was tested with different cancer datasets to recognize the best optimal features. The result of mRMR-Plus-GO-SA is compared with different existing approaches. From the result and the comparative study, it’s noteworthy to state that the new mRMR_Plus-GO-SA filter wrapper model performs far better as compared to its counterparts in terms of the number of features selected and accuracy.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129087392","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

Autonomous Vehicles: Security Challenges and Game theory-based Countermeasures 自动驾驶汽车:安全挑战与基于博弈论的对策

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085301

J. M. Qurashi, Muhammad Jawad Ikram, K. Jambi, F. Eassa, Maher Khemakhem

引用次数: 0

Intelligent Trash Bin for Smart Cities 智能城市的智能垃圾桶

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085313

AhmedTarig Mohamed, Yara ElSayed, Hassan Mahasneh, W. Rohouma, Awni Al Otoom

引用次数: 0

Towards Fake News Identification using Machine Learning 利用机器学习实现假新闻识别

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085321

Yara Abdallah, Nazih Salhab, A. Falou

引用次数: 0

CNN-LSTM Learning Approach for Classification of Foliar Disease of Apple 苹果叶面病害分类的CNN-LSTM学习方法

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085039

Ahmed Abba Haruna, I. Badi, L. J. Muhammad, Albaraa Abuobieda, Abdulaziz Altamimi

{"title":"CNN-LSTM Learning Approach for Classification of Foliar Disease of Apple","authors":"Ahmed Abba Haruna, I. Badi, L. J. Muhammad, Albaraa Abuobieda, Abdulaziz Altamimi","doi":"10.1109/ICAISC56366.2023.10085039","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085039","url":null,"abstract":"Deep learning techniques haven been the efficient artificial intelligence techniques that is being used for developing models for autonomous feature extraction, classification and segmentation of the apple leaves diseases sand other plant diseases. However, most deep learning systems, such as Convolutional neural networks (CNN) and Long Short-term Memory (LSTM), necessitate a huge quantity of training data and are plagued by issues such as inflating gradients, overfitting, and class imbalance, among others. In this work, CNN-LSTM deep learning algorithm was proposed to address the challenges facing CNN and LSTM respectively. This work used the CNN-LSTM deep learning algorithm to develop a learning model for classification of foliar disease of apple leaves. In order to create learning classification models based on accuracy, specificity, sensitivity, and AUC standard performance evaluation techniques, both CNN and LSTM algorithms were employed. CNN-LSTM happened to be the best model in terms of accuracy, specificity, sensitivity, and AUC standard performance evaluation methodologies, with 98.00%,95.00%, 96.00parcent, and 94.00% respectively. Hence, the model has shown a significant improvement as compared to other models for being able to correctly classified apple leaves into affected leaves with disease/s and non-affected leaves with disease/s with 98.00% accuracy. Likewise, for the ability to classify the apple leaves affected with disease/s, correctly CNN-LSTM also outperformed other models with 95.00parcent. Moreover, CNN-LSTM based model also has shown a significant improvement as compared other models, for being able to correctly classified apple leaves that were not affected with disease/s with 96.00%.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121138727","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: 2

Blockchain-based System for Secure Storage and Sharing of Diabetics Healthcare Records 基于区块链的糖尿病医疗记录安全存储和共享系统

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085169

Maher Alharby

{"title":"Blockchain-based System for Secure Storage and Sharing of Diabetics Healthcare Records","authors":"Maher Alharby","doi":"10.1109/ICAISC56366.2023.10085169","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085169","url":null,"abstract":"The number of diabetic patients in Saudi Arabia has been increasing recently. Since those patients often visit various healthcare institutions, large amounts of data related to their general health are generated. This imposes a challenge on how to securely store this data and make it accessible for authorized healthcare institutions treating the patient. In this paper, we propose a system that combines blockchain technology with cryptographic primitives and decentralized storage systems to securely store and share medical records for diabetic patients. We analyze the security of the proposed scheme in terms of data confidentiality, data integrity, data availability, and user privacy. We encipher the healthcare records and store them in the distributed InterPlanetary File System (IPFS). This is to preserve the secrecy of sensitive healthcare data and to avoid the single point of failure issues. Blockchain is used only to store the hash value of the healthcare records and their location in the IPFS, resulting in lower operational costs while preserving the integrity of the healthcare data. To enforce fine-grained access control, our system allows the patient to determine who can access their medical records with the help of an attributebased encryption scheme. Only authorized users can decipher and access the original health data if they own the appropriate attributes defined in the access policy.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"432 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115934010","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 Game Theory-based Pricing Technique for Ridesharing Pairings 基于博弈论的拼车配对定价技术

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085412

E. Magsino, Gerard Ryan C. Ching, Francis Miguel M. Espiritu, Kerwin D. Go

{"title":"A Game Theory-based Pricing Technique for Ridesharing Pairings","authors":"E. Magsino, Gerard Ryan C. Ching, Francis Miguel M. Espiritu, Kerwin D. Go","doi":"10.1109/ICAISC56366.2023.10085412","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085412","url":null,"abstract":"As more people dwell in urban cities, intelligent transportation systems must cater to the ever increasing demand of public transport. The various modes of transportation should allow affordable and comfortable travel from one point to another in an urban city to discourage people in owning their own vehicle that may result to more traffic congestions and detrimental environmental effects. In this study, we employ empirical urban mobility datasets to evaluate a proposed Game Theory-based pricing method that can be used in ridesharing of two passengers to reduce traveling cost, while keeping the driver revenue approximately equal. We consider passenger pairings where a second commuter’s origin and destination points are after the first commuter passenger, thereby, creating an overlapped and shared travel distance between the two commuters. From extensive simulations, our Game Theory-based pricing scheme resulted in (1) approximately 30% less number of active taxi trips needed to transport people from origin to destination places, (2) slight increase in the travel distance of each passenger due to the optimization of shortest path that can cater both commuters (nearly 8% on the average for the three cities), (3) reduced average passenger fare (at least 15% fare reduction) when compared to solo riding, (4) little to no driver revenue increase, and (5) lower passenger fare rate, i.e., cost per kilometer.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116100229","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

Internet-of-Things in Emergency Services: Architecture, Applications, and Research Challenges 应急服务中的物联网:架构、应用和研究挑战

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085468

Shermin Shamsudheen, G. Karthik, Anne Anoop, Praveetha Gobinathan

引用次数: 0

Industrial Internet of Things: A Cyber Security Perspective Investigation 工业物联网:网络安全视角研究

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085080

Fahad Al-Zahrani, Nadeem Hassan

{"title":"Industrial Internet of Things: A Cyber Security Perspective Investigation","authors":"Fahad Al-Zahrani, Nadeem Hassan","doi":"10.1109/ICAISC56366.2023.10085080","DOIUrl":"https://doi.org/10.1109/ICAISC56366.2023.10085080","url":null,"abstract":"The IIoT arose as a result of the increased automation, dependability, and management that Industry 4.0 introduced to the manufacturing and production sectors. The Internet of Things has the potential to speed up the process of automating several industries, including the automotive, transportation, production, and advertising sectors. Large-scale IIoT systems will have security difficulties when its benefits become clear, leading to repeated large-scale attacks that damage key infrastructure or fraudulent transactions. The system is additionally challenged by the vast quantity of connected devices and the consequent constraints on available resources (such as their battery life, memory, and processing power). Traditional communication and networking flaws are also present in the IIoT, but it takes more work to tailor security solutions to secure critical industrial control systems. These flaws are carried over to the IIoT. While there is some literature on the topics of security, privacy, and trust in IIoT systems, a more thorough examination of the many moving parts that make up an IIoT system is lacking. This study compares IoT security vulnerabilities to solve the problem. We explore several IIoT security difficulties and criteria. We also explore available IIoT designs to rigorously investigate these security threats. We describe viable countermeasures and explain how security weaknesses at any layer of an IIoT architecture affect its functionality. This report proposes future research on trustworthy, large-scale, and secure IIoT systems. The report highlights the multiple IIoT system threats and attacks to improve security awareness.","PeriodicalId":422888,"journal":{"name":"2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123816268","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

Toward a Design of User’s Consent Tool for IoT-based Healthcare System 面向物联网医疗系统的用户同意工具设计

2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC) Pub Date : 2023-01-23 DOI: 10.1109/ICAISC56366.2023.10085034

Hebah A. Albatati, M. Abulkhair, John A. Clark

引用次数: 0