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Arif Iqbal^*, Abdul Basit, Imran Ali, Junaid Babar, Ihsan Ullah
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 299-309, 2021, DOI:10.32604/iasc.2021.014250 - 18 January 2021
Abstract Automated meter reading has recently been adopted by utility service providers for improving the reading and billing process. Images captured during meter reading are incorporated in consumer bills to prevent reporting false reading and ensure transparency. The availability of images captured during the meter reading process presents the potential of completely automating the meter reading process. This paper proposes a convolutional network-based multi-box model for the automatic meter reading. The proposed research leverages the inception model with a single shot detector to achieve high accuracy and efficiency compared to the existing state-of-the-art machine learning methods. More >

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Musawwer Khan¹, Islam Ali¹, Waqar Mehmood¹, Wasif Nisar¹, Waqar Aslam², Muhammad Shafiq³, Jin-Ghoo Choi^3,*
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 311-331, 2021, DOI:10.32604/iasc.2021.014280 - 18 January 2021
（This article belongs to the Special Issue: Soft Computing Methods for Innovative Software Practices)
Abstract Legacy systems deteriorate due to changing business practices and recurrent problems such as high maintenance cost, lack of agility, and degraded performance. Modernization is highly desired especially for those organizations where key business processes are managed by legacy systems. During modernizing, two important aspects are usually ignored, i.e., the transformation of a legacy system to an enterprise solution, and considerations of quality concerns. This overlooking leads to a modernized information system that partially achieves the expected outcome. In this paper, we propose a Capability Maturity Model Integration (CMMI) Compliant Modernization Framework (CCMF) that addresses the… More >

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S. Praveen Kumar^1,*, S. Appavu alias Balamurugan², S. Kannan³
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 333-346, 2021, DOI:10.32604/iasc.2021.013310 - 18 January 2021
Abstract The establishment of multi-channel routing systems in WSNs has shown the reliability of the transmission across several channels. Meeting the service quality needs of all the applications is still a challenging task. Various surveys carried out, have suggested for the development of user-oriented Wireless Sensor Network (WSN) architectures. Throughout WSNs, the Optimized Link State Routing (OLSR) and the Adhoc On Demand Vector (AODV) are the multi-way routing systems that exhibit the reliability of the multipath delivery to fulfill the customer service quality requirements. The topology is modified only on requests, by selecting the best route… More >

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R. Jayamala^*, A. Valarmathi
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 347-358, 2021, DOI:10.32604/iasc.2021.012401 - 18 January 2021
Abstract Cloud computing is an increasingly important technology to deliver pay-as-you-go online computing services. In this study, the cloud service provider permits the cloud user to pay according to the user’s needs. Various methods have been used to reduce energy utilization in the cloud. The rapid increase of cloud users has led to increased energy consumption and higher operating costs for cloud providers. A key issue in cloud data centers is their massive energy consumption to operate and maintain computing services. Virtual machine (VM) migration is a method to reduce energy consumption. This study proposes enhanced More >

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ARTICLE

Sung-Jung Hsiao¹, Wen-Tsai Sung^2,*
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 359-377, 2021, DOI:10.32604/iasc.2021.014905 - 18 January 2021
Abstract Traditional agriculture has to face different climatic factors, resulting in unstable crop yields, whereas a plant factory is indoors, thus avoiding different natural disasters and insect pests. It is also available for bulk production in all-weather all year-round, guaranteeing crop quality. This study uses a wireless sensor network (WSN) architecture for multi-monitoring of a plant environment, aiming to improve its growing environment quality. In terms of monitoring environment, the sensor modules at the end device nodes are combined with Arduino for capturing the sensor values, which are transmitted by wireless signal transmission. The data of… More >

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Obadah Said Solaiman, Ishak Hashim^*
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 379-390, 2021, DOI:10.32604/iasc.2021.015285 - 18 January 2021
Abstract A new iterative technique for nonlinear equations is proposed in this work. The new scheme is of three steps, of which the first two steps are based on the sixth-order modified Halley’s method presented by the authors, and the last is a Newton step, with suitable approximations for the first derivatives appeared in the new scheme. The eighth-order of convergence of the new method is proved via Mathematica code. Every iteration of the presented scheme needs the evaluation of three functions and one first derivative. Therefore, the scheme is optimal in the sense of Kung-Traub More >

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ARTICLE

Xiang Cao^1,2,*, Ling Chen¹, Liqiang Guo³, Wei Han⁴
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 391-407, 2021, DOI:10.32604/iasc.2021.01002 - 18 January 2021
Abstract As one of the classical problems in autonomous underwater vehicle (AUV) research, path planning has obtained a lot of research results. Many studies have focused on planning an optimal path for AUVs. These optimal paths are sometimes too close to obstacles. In the real environment, it is difficult for AUVs to avoid obstacles according to such an optimal path. To solve the safety problem of AUV path planning in a dynamic uncertain environment, an algorithm combining a bio-inspired neural network and potential field is proposed. Based on the environmental information, the bio-inspired neural network plans More >

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ARTICLE

Wajdi Alhakami¹, Abdullah Baz², Hosam Alhakami³, Masood Ahmad⁴, Raees Ahmad Khan^4,*
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 409-424, 2021, DOI:10.32604/iasc.2021.015351 - 18 January 2021
Abstract Healthcare devices play an essential role in tracking and managing patient’s safety. However, the complexities of healthcare devices often remain ambiguous due to hardware, software, or the interoperable healthcare system problems. There are essentially two critical factors for targeting healthcare: First, healthcare data is the most valuable entity on the dark web; and the second, it is the easiest to hack. Data pilferage has become a major hazard for healthcare organizations as the hackers now demand ransom and threaten to disclose the sensitive data if not paid within the stipulated timeline. The present study enlists More >

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ARTICLE

Yajun Zhang^1,*, Jianjun Yi¹, Jiahao Zhang¹, Yuanhao Chen¹, Liang He²
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 425-439, 2021, DOI:10.32604/iasc.2021.013795 - 18 January 2021
Abstract Image recognition algorithms based on deep learning have been widely developed in recent years owing to their capability of automatically capturing recognition features from image datasets and constantly improving the accuracy and efficiency of the image recognition process. However, the task of training deep learning networks is time-consuming and expensive because large training datasets are generally required, and extensive manpower is needed to annotate each of the images in the training dataset to support the supervised learning process. This task is particularly arduous when the image scenes involve randomly stacked objects. The present work addresses… More >

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ARTICLE

Abdullah Alamri^1,*, Sultan Alamri²
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 441-452, 2021, DOI:10.32604/iasc.2021.015198 - 18 January 2021
（This article belongs to the Special Issue: Soft Computing Technologies for COVID 19 Assessment, Analysis and Control)
Abstract The COVID-19 pandemic has presented an unprecedented challenge to the entire world. It is a humanitarian crisis on a global scale. The virus continues to spread throughout nations, putting health systems under enormous pressure in the battle to save lives. With this growing crisis, companies and researchers worldwide are searching for ways to overcome the challenges associated with this virus. Also, the transport sector will play a critical role in revitalizing economies while simultaneously containing the spread of COVID-19. As the virus is still circulating, the only solution is to redesign public transportation to make More >

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ARTICLE

Rajesh Kaluri¹, Dharmendra Singh Rajput¹, Qin Xin^2,*, Kuruva Lakshmanna¹, Sweta Bhattacharya¹, Thippa Reddy Gadekallu¹, Praveen Kumar Reddy Maddikunta¹
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 453-469, 2021, DOI:10.32604/iasc.2021.014369 - 18 January 2021
（This article belongs to the Special Issue: Soft Computing Methods for Innovative Software Practices)
Abstract Internet of Things (IoT) and related applications have successfully contributed towards enhancing the value of life in this planet. The advanced wireless sensor networks and its revolutionary computational capabilities have enabled various IoT applications become the next frontier, touching almost all domains of life. With this enormous progress, energy optimization has also become a primary concern with the need to attend to green technologies. The present study focuses on the predictions pertinent to the sustainability of battery life in IoT frameworks in the marine environment. The data used is a publicly available dataset collected from… More >

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ARTICLE

Ruijun Chai¹, Sujie Shao^1,*, Shaoyong Guo¹, Yuqi Wang¹, Xuesong Qiu¹, Linna Ruan²
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 471-482, 2021, DOI:10.32604/iasc.2021.013373 - 18 January 2021
Abstract Long Range Radio (LoRa) has become one of the widely adopted Low-Power Wide Area Network (LPWAN) technologies in power Internet of Things (PIoT). Its major advantages include long-distance, large links and low power consumption. However, in LoRa-based PIoT, terminals are often deployed in the wild place and are easily affected by bad weather or disaster, which could easily lead to large-scale operation faults and could seriously affect the normal operation of the network. Simultaneously, the distribution characteristics of outdoor terminals with wide coverage and large links lead to a sharp increase in the difficulty and… More >

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Fahd N. Al-Wesabi¹, Abdelzahir Abdelmaboud^2,*, Adnan A. Zain³, Mohammed M. Almazah⁴, Ammar Zahary⁵
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 483-498, 2021, DOI:10.32604/iasc.2021.014322 - 18 January 2021
（This article belongs to the Special Issue: Artificial Techniques: Application, Challenges, Performance Improvement of Smart Grid and Renewable Energy Systems)
Abstract Text information depends primarily on natural languages processing. Improving the security and usability of text information shared through the public internet has therefore been the most demanding problem facing researchers. In contact and knowledge sharing through the Internet, the authentication of content and the identification of digital content are becoming a key problem. Therefore, in this paper, a fragile approach of zero-watermarking based on natural language processing has been developed for authentication of content and prevention of misuse of Arabic texts distributed over the Internet. According to the proposed approach, watermark embedding, and identification was… More >

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Sung-Jung Hsiao¹, Wen-Tsai Sung^2,*
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 499-517, 2021, DOI:10.32604/iasc.2021.014911 - 18 January 2021
Abstract The purpose of this research is to design an intelligent LED lighting control system with wireless remote control. Since the designed system is mainly based on Android applications, it controls wireless lighting modules through a sever by means of a smartphone, tablet computer, or another handheld mobile device, and the values displayed on the handheld device are used to monitor the establishment and design of the electricity state and multiple-LED light control scenarios in real time. The server is connected with a touch human-machine interface, digital meter, wireless lighting controller, infrared learning module, and other… More >

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Fatmah Baothman^*, Sarah Alssagaff, Bayan Ashmeel
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 519-531, 2021, DOI:10.32604/iasc.2021.014828 - 18 January 2021
（This article belongs to the Special Issue: Computational Intelligence for Internet of Medical Things and Big Data Analytics)
Abstract The National Center for Education Statistics study reported that 80% of students change their major or institution at least once before getting a degree, which requires a course equivalency process. This error-prone process varies among disciplines, institutions, regions, and countries and requires effort and time. Therefore, this study aims to overcome these issues by developing a decision support tool called TiMELY for automatic Arabic text recognition using artificial intelligence techniques. The developed tool can process a complete document analysis for several course descriptions in multiple file formats, such as Word, Text, Pages, JPEG, GIF, and… More >

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ARTICLE

Muhatasim Intisar¹, Mohammad Monirujjaman Khan^1,*, Mohammad Rezaul Islam¹, Mehedi Masud²
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 533-550, 2021, DOI:10.32604/iasc.2021.015482 - 18 January 2021
Abstract This paper presents the design and implementation of a robotic vision system operated using an interactive Graphical User Interface (GUI) application. As robotics continue to become a more integral part of the industrial complex, there is a need for automated systems that require minimal to no user training to operate. With this motivation in mind, the system is designed so that a beginner user can operate the device with very little instruction. The application allows users to determine their desired object, which will be picked up and placed by a robotic arm into the target… More >

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Aolin Sun, Xiang Cao^*, Xu Xiao, Liwen Xu
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 551-564, 2021, DOI:10.32604/iasc.2021.01008 - 18 January 2021
Abstract An essential issue in a target search is safe navigation while quickly finding targets. In order to improve the efficiency of a target search and the smoothness of AUV’s (Autonomous Underwater Vehicle) trajectory, a fuzzy-based bio-inspired neural network approach is proposed in this paper. A bio-inspired neural network is applied to a multi-AUV target search, which can effectively plan search paths. In the meantime, a fuzzy algorithm is introduced into the bio-inspired neural network to make the trajectory of AUV obstacle avoidance smoother. Unlike other algorithms that need repeated training in the parameters selection, the More >

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Asadullah Shaikh^1,*, Abdul Hafeez², M. A. Elmagzoub¹, Abdullah Alghamdi¹, Ansar Siddique³, Basit Shahzad⁴
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 565-579, 2021, DOI:10.32604/iasc.2021.015071 - 18 January 2021
（This article belongs to the Special Issue: Soft Computing Methods for Innovative Software Practices)
Abstract Unified Modeling Language (UML) models are considered important artifacts of model-driven engineering (MDE). This can automatically transform models to other paradigms and programming languages. If a model has bugs, then MDE can transfer these to a new code. The class model is a key component of UML that is used in analysis and design. Without a formal foundation, UML can create only graphical diagrams, making it impossible to verify properties such as satisfiability, consistency and consequences. Different techniques have been used to verify UML class models, but these do not support some important components. This More >

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Huaning Song¹, Jiansheng Peng^1,2,*, Nianyang Tuo¹, Haiying Xia², Yiyun Peng³
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 581-592, 2021, DOI:10.32604/iasc.2021.014152 - 18 January 2021
Abstract Accurate identification of sugarcane buds, as one of the key technologies in sugarcane plantation, becomes very necessary for its mechanized and intelligent advancements. In the traditional methods of sugarcane bud recognition, a significant amount of algorithms work goes into the location and recognition of sugarcane bud images. A Convolutional Neural Network (CNN) for classifying the bud conditions is proposed in this paper. Firstly, we convert the colorful sugarcane images into gray ones, unify the size of them, and make a TFRecord format data set, which contains 1100 positive samples and 1100 negative samples. Then, a… More >

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Abdulaziz Attaallah¹, Masood Ahmad², Md Tarique Jamal Ansari², Abhishek Kumar Pandey², Rajeev Kumar^2,3,*, Raees Ahmad Khan²
Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 593-603, 2021, DOI:10.32604/iasc.2021.015092 - 18 January 2021
Abstract Security of the Internet of Healthcare Things (IoHT) devices plays a vital role in e-healthcare today and there has been a rapid increase in the use of networked devices of IoHT in the present healthcare services. However, these networked devices are also highly vulnerable to attackers who constantly target the security of devices and their components to gain access to the patients’ data. Infringement of patients’ data is not only a violation of privacy but can also jeopardize patients’ health if the health records are tampered with. Once the device has been intruded upon, attackers… More >

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