Titlebook: Complex, Intelligent and Software Intensive Systems; Proceedings of the 1 Leonard Barolli,Aneta Poniszewska-Maranda,Tomoya E Conference pro

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2194-5357 elligent systems and agents, which is increasingly characterized by the use of ontologies, can be beneficial for software intensive systems and complex systems alike. Accordingly, recent research in the areas o978-3-030-50453-3978-3-030-50454-0Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Software-Oriented Routing Protocol for Energy-Efficient Wireless Communications,t is critical to reduce the electric energy consumption of nodes in networks. Each node consumes more energy to perform software processes to send and receive messages than the wireless communication devices. The farther node . sends a message to a node ., the higher probability the node . loses the

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Energy-Efficient Quorum-Based Locking Protocol in Virtual Machine Environments,ed in multiple physical servers to make an application service reliable and available. On the other hand, the total amount of electric energy consumed in physical servers is larger than non-replication systems since each method to manipulate replicas of each object is performed on multiple virtual m

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An Event Response Fuzzy-Based System for Actor Node Selection in WSANs,(WSANs). WSANs consist of a large number of sensors and also a smaller number of actors. Whenever there is any emergency situation i.e., fire, earthquake, flood or enemy attack in the area, sensor nodes have the responsibility to sense it and send information towards an actor node. According to thes

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A Fuzzy-Based Adiantum Cultivation Support System Design,support them. In this paper, we present the performance evaluation of a fuzzy-based cultivation support system for Adiantum. We consider soil humidity, temperature and illuminance in an indoor environment. From the evaluation results, our cultivation support system can use for Adiantum cultivation.

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Deploy, Connect and Execute Scientific Models,lemented using different development tools and adhere to different requirements. Thus, making it extremely difficult to reuse these models. Therefore, the Connected Intelligence Engine (CIE) aims to enable model reusability by providing standards and infrastructure that automate the process of model