International Journal of Advanced Computer Science and Applications最新文献

{"title":"Solar Energy Forecasting Based on Complex Valued Auto-encoder and Recurrent Neural Network","authors":"Aymen Rhouma, Yahia Said","doi":"10.14569/ijacsa.2023.0140443","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.0140443","url":null,"abstract":"Renewable energy is becoming a trusted power source. Energy forecasting is an important research field, which is used to provide information about the future power generation of renewable energy plants. Energy forecasting helps to safely manage the power grid by minimizing the operational cost of energy production. Recent advances in energy forecasting based on deep learning techniques have shown great success but the achieved results still too far from the target results. Ordinary deep learning models have been used for time series processing. In this paper, a complex-valued autoencoder was coupled with an LSTM neural network for solar energy forecasting. The complex-valued autoencoder was used to process the time series with the advantage of processing more complex data with more input arguments. The energy value was used as a real value and the weather condition was considered as the imaginary value. Taking into account the weather condition helps to better predict power generation. The proposed approach was evaluated on the Fingrid open data dataset. The mean absolute error (MAE), rootmean-square error (RMSE) and mean absolute percentage error (MAPE) was used to evaluate the performance of the proposed method. A comparison study was performed to prove the efficiency of the proposed approach. Reported results have shown the efficiency of the proposed approach. Keywords—Solar energy forecasting; artificial intelligence; complex-valued autoencoder; long-short term memory; deep","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"37 8 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82754364","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}

{"title":"A New Task Scheduling Framework for Internet of Things based on Agile VNFs On-demand Service Model and Deep Reinforcement Learning Method","authors":"Li Yang","doi":"10.14569/ijacsa.2023.0140308","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.0140308","url":null,"abstract":"—Recent innovations in the Internet of Things (IoT) have given rise to IoT applications that require quick response times and low latency. Fog computing has proven to be an effective platform for handling IoT applications. It is a significant challenge to deploy fog computing resources effectively because of the heterogeneity of IoT tasks and their delay sensitivity. To take advantage of idle resources in IoT devices, this paper presents an edge computing concept that offloads edge tasks to nearby IoT devices. The IoT-assisted edge computing should meet two conditions, edge services should exploit the computing resources of IoT devices effectively and edge tasks offloaded to IoT devices do not interfere with local IoT tasks. Two main phases are included in the proposed method: virtualization of edge nodes, and task scheduling based on deep reinforcement learning. The first phase offers a layered edge framework. In the second phase, we applied deep reinforcement learning (DRL) to schedule tasks taking into account the diversity of tasks and the heterogeneity of available resources. According to simulation results, our proposed task scheduling method achieves higher levels of task satisfaction and success than existing methods.","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"22 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82793191","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}

{"title":"Consolidated Definition of Digital Transformation by using Text Mining","authors":"Mohammed Hitham M. H, H. Elkadi, N. Tazi","doi":"10.14569/ijacsa.2023.0140363","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.0140363","url":null,"abstract":"—Digital transformation has become essential for the majority of organizations, in both public and private sectors. The term \"digital transformation\" has been used (and misused), so frequently that it is now somewhat ambiguous. It has become imperative to give it some conceptual rigor. The objective of this study is to identify the major elements of digital transformation as well as develop a proper definition for DT in the public and private sectors. For this purpose, 56 different definitions of DT collected from the available literature were analyzed, and we found that they extracted elements from definition of DT manually. So, text mining (TF-IDF and Fp-tree) techniques are used to identify the major constituents and finally consolidate in generic DT definitions. The approach consists of five phases: 1) collecting and classifying DT definitions; 2) detecting synonyms; 3) extracting major elements (terms); 4) discussing and comparing DT elements; 5) formulating DT definitions for different business categories. An evaluation tool was also developed to assess the level of DT elements coverage in various definitions found in the literature, and, as a validation, it was applied to the formulated definitions.","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82932680","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}

{"title":"The Effect of Augmented Reality Mobile Application on Visitor Impact Mediated by Rational Hedonism: Evidence from Subak Museum","authors":"K. Agustini, D. S. Wahyuni, I. Nengah, Eka Mertayasa, N. M. Ratminingsih, Gede Ariadi","doi":"10.14569/ijacsa.2023.0140109","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.0140109","url":null,"abstract":"—This study expands our comprehension of museum visitor impact within a system quality, information quality, and augmented reality (AR) media content quality on mobile applications. Museums meet new defiance of escalating expectancies of their visitors. As a result of the universal mobile phone tool, AR has arisen as the latest technology offered to the museum to increase its visitors. These expectancies are fostered by the improvement of modern technologies like AR on the mobile app. Across an online survey of 241 visitors, the study determines the constructs affecting visitor impact within museum' mobile apps and the consequential results of AR-linked visitor impact. The study proposes a recent set of AR features, explicitly, system quality, information system, and AR media content quality, and establishes their influence on rational hedonism and satisfaction experienced, thus enhancing visitor impact. The findings also show that the rational hedonism and satisfaction experienced are positioned as full mediators for the relationship between system quality & information quality and visitor impact. In contrast, these mediators partially influence the indirect relationship between AR media content quality and visitor impact. Moreover, the results affirm that AR media content quality within the mobile application is the most critical construct to directly enhance visitor impact, whereas the system quality and information quality have no influence yet. From a practical point of view, the importance of AR technology for the museum can support entice new visitors to museums and improve to make more incomes","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"8 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87843957","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}

{"title":"Automated CAD System for Early Stroke Diagnosis: Review","authors":"Izzatul Husna Azman, N. Saad, A. Abdullah, R. A. Hamzah, Adam Samsudin, Shaarmila AP Kandaya","doi":"10.14569/ijacsa.2023.0140809","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.0140809","url":null,"abstract":"—Stroke is an important health issue that affects millions of people globally each year. Early and precise stroke diagnosis is crucial for efficient treatment and better patient outcomes. Traditional stroke detection procedures, such as manual visual evaluation of clinical data, can be time-consuming and error-prone. Computer-aided diagnostic (CAD) technologies have emerged as a viable option for early stroke diagnosis in recent years. These systems analyze medical pictures, such as magnetic resonance imaging (MRI), and identify indicators of stroke using modern algorithms and machine learning approaches. The goal of this review paper is to offer a thorough overview of the current state-of-the-art in CAD systems for early stroke detection. We give an examination of the merits and limits of this technology, as well as future research and development directions in this field. Finally, we contend that CAD systems represent a promising solution for improving the efficiency and accuracy of early stroke diagnosis, resulting in better patient outcomes and lower healthcare costs.","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"1 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89462380","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}

{"title":"Fraud Mitigation in Attendance Monitoring Systems using Dynamic QR Code, Geofencing and IMEI Technologies","authors":"Augustine Nwabuwe, Baljinder Sanghera, T. Alade, F. Olajide","doi":"10.14569/ijacsa.2023.01404104","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.01404104","url":null,"abstract":"","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"38 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89532843","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}

{"title":"A Low-Cost Wireless Sensor System for Power Quality Management in Single-Phase Domestic Networks","authors":"Cristian A. Aldana B, Edison F. Montenegro A","doi":"10.14569/ijacsa.2023.01408111","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.01408111","url":null,"abstract":".","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"42 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89855040","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}

{"title":"The Impact of Cyber Security on Preventing and Mitigating Electronic Crimes in the Jordanian Banking Sector","authors":"Tamer Bani Amer, Mohammad Ibrahim Ahmed Al-Omar","doi":"10.14569/ijacsa.2023.0140841","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.0140841","url":null,"abstract":"—As technology advances and cyber threats continue to evolve, cyber security professionals play a critical role in developing and implementing robust security measures, staying ahead of potential risks, and mitigating the impact of cyber incidents. Many studies have examined the impact of cyber security on banks, without focusing on electronic crimes. Despite its importance, to the best of our knowledge, there are no studies on the impact of cyber security on mitigating electronic crimes in the banking sector. Therefore, the purpose of this study is to ascertain how cyber security affects electronic crimes in the Jordanian banking industry. The study sample consisted of 270 senior Jordanian managers and employees who understand the importance of cyber security in the banking sector in 14 Jordanian commercial banks, listed on the Amman stock exchange. The study used SPSS to evaluate how banks can enhance network security infrastructure to prevent unauthorized access and data breaches and also to find out the role of cybersecurity in granting competitive advantage to banks. A relative importance index (RII) was conducted to rank the importance of variables’ statements and test the hypotheses. The results found the most important method through which banks can effectively mitigate the risk of electronic crimes and ensure the security of customers’ financial data is that banks utilize robust encryption technologies to ensure the protection of customer financial data while it is being transmitted and when it is stored (RII=0.740). About 81.5 % of the sample agree, also, banks that have a strong cyber security system provide a secure platform for digital financial services which increases the competitive advantage as they were ranked first for their relative importance at both the category level and overall ranking with (RII=0.754). The study recommended that the banking industry, must consistently educate its customers on information security techniques and how to avoid hacking into their accounts, and develop an alert system that can raise awareness for both banks and bank customers if there is any possible entry or access to the customer's account or organization confidential information.","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"5 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89935216","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}

{"title":"Input Value Chain Affect Vietnamese Rice Yield: An Analytical Model Based on a Machine Learning Algorithm","authors":"T. Nguyen, Niansong Tu, T. Ha","doi":"10.14569/ijacsa.2023.0140512","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.0140512","url":null,"abstract":"www.ijacsa.thesai.org","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"20 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91274185","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}

{"title":"Intelligent Moroccan License Plate Recognition System Based on YOLOv5 Build with Customized Dataset","authors":"El Mehdi Ben Laoula, M. Midaoui, M. Youssfi, O. Bouattane","doi":"10.14569/ijacsa.2023.0140638","DOIUrl":"https://doi.org/10.14569/ijacsa.2023.0140638","url":null,"abstract":"The rising number of automobiles has led to an increased demand for a reliable license plate identification system that can perform effectively in diverse conditions. This applies to local authorities, public organizations, and private companies in Morocco, as well as worldwide. To meet this need, a strong License Plate Recognition (LPR) system is required, taking into account local plate specifications and fonts used by plate manufacturers. This paper presents an intelligent LPR system based on the YOLOv5 framework, trained on a customized dataset encompassing multiple fonts and circumstances such as illumination, climate, and lighting. The system incorporates an intelligent region segmentation level that adapts to the plate's type, improving recognition accuracy and addressing separator issues. Remarkably, the model achieves an impressive precision rate of 99.16% on problematic plates with specific illumination, separators, and degradations. This research represents a significant advancement in the field of license plate recognition, providing a reliable solution for accurate identification and paving the way for broader applications in Morocco and beyond. Keywords—License plate recognition; YOLOv5; intelligent region segmentation; customized dataset; Moroccan license plate issues; fonts-based data","PeriodicalId":13824,"journal":{"name":"International Journal of Advanced Computer Science and Applications","volume":"18 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73240481","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}