Open Access
ARTICLE
D. Anuradha1,*, R. Srinivasan2, T. Ch. Anil Kumar3, J. Faritha Banu4, Aditya Kumar Singh Pundir5, D. Vijendra Babu6
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1325-1341, 2022, DOI:10.32604/iasc.2022.021946
Abstract Wireless sensor network (WSN) becomes a hot research area owing to an extensive set of applications. In order to accomplish energy efficiency in WSN, most of the earlier works have focused on the clustering process which enables to elect CHs and organize unequal clusters. However, the clustering process results in hot spot problem and can be addressed by the use of unequal clustering techniques, which enables to construct of clusters of unequal sizes to equalize the energy dissipation in the WSN. Unequal clustering can be formulated as an NP-hard issue and can be solved by metaheuristic optimization algorithms. With this… More >
Open Access
ARTICLE
Virginijus Baranauskas1,*, Žydrūnas Jakas1, Kastytis Kiprijonas Šarkauskas1, Stanislovas Bartkevičius2, Gintaras Dervinis1, Alma Dervinienė3, Leonas Balaševičius1, Vidas Raudonis1, Renaldas Urniežius1, Jolanta Repšytė1
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1343-1356, 2022, DOI:10.32604/iasc.2022.022288
（This article belongs to this Special Issue: Soft Computing Methods for Intelligent Automation Systems)
Abstract The research work presents a collision prediction method of mobile robots. The authors of the work use so-called, virtual cocoons to evaluate the collision criteria of two robots. The idea, mathematical representation of the calculations and experimental simulations are presented in the paper work. A virtual model of the industrial process with moving mobile robots was created. Obstacle avoidance was not solved here. The authors of the article were working on collision avoidance problem solving between moving robots. Theoretical approach presents mathematical calculations and dependences of path angles of mobile robots. Experimental simulations, using the software Centaurus CPN, based on… More >
Open Access
ARTICLE
Arfat Ahmad Khan1,*, Faizan Ahmed Khan2
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1357-1367, 2022, DOI:10.32604/iasc.2022.022958
Abstract Radiation monitoring is essential for examining and refraining the unwanted situations in the vicinity of nuclear plants as high levels of radiation are quite dangerous for human beings. Meanwhile, Wireless Sensor Networks (WSNs) are proved to be an auspicious candidate to address that issue. Actually, WSNs are pretty beneficial to monitor an area with the aim of avoiding undesirable situations. In this paper, we have designed and implemented a cost-efficient radiation and the temperature monitoring system. We have used ZigBee to develop the sensor nodes, and the sensor nodes are instilled with the radiation and the temperature sensors. In addition,… More >
Open Access
ARTICLE
Novak Zagradjanin1,*, Dragan Pamucar2, Kosta Jovanovic1, Nikola Knezevic1, Bojan Pavkovic3
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1369-1386, 2022, DOI:10.32604/iasc.2022.021979
（This article belongs to this Special Issue: Soft Computing Methods for Intelligent Automation Systems)
Abstract An autonomous robot is often in a situation to perform tasks or missions in an initially unknown environment. A logical approach to doing this implies discovering the environment by the incremental principle defined by the applied exploration strategy. A large number of exploration strategies apply the technique of selecting the next robot position between candidate locations on the frontier between the unknown and the known parts of the environment using the function that combines different criteria. The exploration strategies based on Multi-Criteria Decision-Making (MCDM) using the standard SAW, COPRAS and TOPSIS methods are presented in the paper. Their performances are… More >
Open Access
ARTICLE
Wen-Tsai Sung1, Ihzany Vilia Devi1, Sung-Jung Hsiao2,*, Fathria Nurul Fadillah1
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1387-1401, 2022, DOI:10.32604/iasc.2022.022828
Abstract Waste management and monitoring is a major concern in the context of the environment, and has a significant impact on human health. The concept of the Artificial Intelligence of Things (AIoT) can help people in everyday tasks in life. This study proposes a smart trash bin to help solve the problem of waste management and monitoring. Traditional methods of garbage disposal require human labor, and pose a hazard to the worker. The proposed smart garbage bin can move itself by using ultrasonic sensors and a web camera, which serves as its “eyes.” Because the smart garbage bin is designed for… More >
Open Access
ARTICLE
Masoud Alajmi1,*, Osama A. Elshakankiry2, Walid El-Shafai3, Hala S. El-Sayed4, Ahmed I. Sallam5, Heba M. El-Hoseny6, Ahmed Sedik7, Osama S. Faragallah2
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1403-1413, 2022, DOI:10.32604/iasc.2022.021211
Abstract Machine Learning (ML) techniques have been combined with modern technologies across medical fields to detect and diagnose many diseases. Meanwhile, given the limited and unclear statistics on the Coronavirus Disease 2019 (COVID-19), the greatest challenge for all clinicians is to find effective and accurate methods for early diagnosis of the virus at a low cost. Medical imaging has found a role in this critical task utilizing a smart technology through different image modalities for COVID-19 cases, including X-ray imaging, Computed Tomography (CT) and magnetic resonance image (MRI) that can be used for diagnosis by radiologists. This paper combines ML with… More >
Open Access
ARTICLE
T. Thomas Leonid1,*, R. Jayaparvathy2
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1415-1426, 2022, DOI:10.32604/iasc.2022.021939
Abstract Human-elephant conflict is the most common problem across elephant habitat Zones across the world. Human elephant conflict (HEC) is due to the migration of elephants from their living habitat to the residential areas of humans in search of water and food. One of the important techniques used to track the movements of elephants is based on the detection of Elephant Voice. Our previous work [] on Elephant Voice Detection to avoid HEC was based on Feature set Extraction using Support Vector Machine (SVM). This research article is an improved continuum of the previous method using Deep learning techniques. The current… More >
Open Access
REVIEW
Sobia Pervaiz1, Waqas Haider Bangyal2, Adnan Ashraf3, Kashif Nisar4,*, Muhammad Reazul Haque5, Ag. Asri Bin Ag. Ibrahim4, BS Chowdhry6, Waqas Rasheed7, Joel J. P. C. Rodrigues8,9, Richard Etengu5, Danda B. Rawat10
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1427-1444, 2022, DOI:10.32604/iasc.2022.017304
Abstract In existing meta-heuristic algorithms, population initialization forms a huge part towards problem optimization. These calculations can impact variety and combination to locate a productive ideal arrangement. Especially, for perceiving the significance of variety and intermingling, different specialists have attempted to improve the presentation of meta-heuristic algorithms. Particle Swarm Optimization (PSO) algorithm is a populace-based, shrewd stochastic inquiry strategy that is motivated by the inherent honey bee swarm food search mechanism. Population initialization is an indispensable factor in the PSO algorithm. To improve the variety and combination factors, rather than applying the irregular circulation for the introduction of the populace, semi-arbitrary… More >
Open Access
ARTICLE
P. Dhilipkumar1,*, G. Mohanbabu2
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1445-1458, 2022, DOI:10.32604/iasc.2022.021663
Abstract Low Power circuits play a significant role in designing large-scale devices with high energy and power consumption. Adiabatic circuits are one such energy-saving circuits that utilize reversible power. Several methodologies used previously infer the use of CMOS circuits for reducing power dissipation in logic circuits. However, CMOS devices hardly manage in maintaining their performance when it comes to fast switching networks. Adiabatic technology is employed to overcome these difficulties, which can further scale down the dissipation of power by charging and discharging. An Efficient Charge Recovery Logic (ECRL) based adiabatic technology is used here to evaluate arithmetic operations in circuits… More >
Open Access
ARTICLE
S. Manikandan1,*, M. Chinnadurai2
Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1459-1466, 2022, DOI:10.32604/iasc.2022.022527
Abstract Load Balancing is an important factor handling resource during running and execution time in real time applications. Virtual machines are used for dynamically access and share the resources. As per current scenario cloud computing is played major for storage, resource accessing, resource pooling and internet based service offering. Usage of cloud computing services is dynamically increased such as online shopping, education, ticketing, etc. Many users can use the cloud resources and load balancing is used for adjusting the virtual machine and balance the node. Our proposed virtualized genetic algorithms are to provide balanced virtual machine services in Hybrid cloud. The… More >
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