Publications tagged with "Problem oriented languages"

1. A Domain Specific Language for the Design of Artificial Intelligence Applications for Process Engineering

   Campanile, L., Di Bonito, L. P., Gribaudo, M., & Iacono, M. (2023). A Domain Specific Language for the Design of Artificial Intelligence Applications for Process Engineering [Conference paper]. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 482 LNICST, 133–146. https://doi.org/10.1007/978-3-031-31234-2_8

   Abstract

   Processes in chemical engineering are frequently enacted by one-of-a-kind devices that implement dynamic processes with feedback regulations designed according to experimental studies and empirical tuning of new devices after the experience obtained on similar setups. While application of artificial intelligence based solutions is largely advocated by researchers in several fields of chemical engineering to face the problems deriving from these practices, few actual cases exist in literature and in industrial plants that leverage currently available tools as much as other application fields suggest. One of the factors that is limiting the spread of AI-based solutions in the field is the lack of tools that support the evaluation of the needs of plants, be those existing or to-be settlements. In this paper we provide a Domain Specific Language based approach for the evaluation of the basic performance requirements for cloud-based setups capable of supporting chemical engineering plants, with a metaphor that attempts to bridge the two worlds. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

   DOI Publisher Details Copy BibTeX Download .bib

   {"key"=>"Campanile2023133", "type"=>"Conference paper", "bibtex"=>"@article{Campanile2023133,\n  author = {Campanile, Lelio and Di Bonito, Luigi Piero and Gribaudo, Marco and Iacono, Mauro},\n  title = {A Domain Specific Language for the Design of Artificial Intelligence Applications for Process Engineering},\n  year = {2023},\n  journal = {Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST},\n  volume = {482 LNICST},\n  pages = {133 – 146},\n  doi = {10.1007/978-3-031-31234-2_8}\n}\n", "author"=>"Campanile, Lelio and Di Bonito, Luigi Piero and Gribaudo, Marco and Iacono, Mauro", "author_array"=>[{"first"=>"Lelio", "last"=>"Campanile", "prefix"=>"", "suffix"=>""}, {"first"=>"Luigi Piero", "last"=>"Di Bonito", "prefix"=>"", "suffix"=>""}, {"first"=>"Marco", "last"=>"Gribaudo", "prefix"=>"", "suffix"=>""}, {"first"=>"Mauro", "last"=>"Iacono", "prefix"=>"", "suffix"=>""}], "author_0_first"=>"Lelio", "author_0_last"=>"Campanile", "author_0_prefix"=>"", "author_0_suffix"=>"", "author_1_first"=>"Luigi Piero", "author_1_last"=>"Di Bonito", "author_1_prefix"=>"", "author_1_suffix"=>"", "author_2_first"=>"Marco", "author_2_last"=>"Gribaudo", "author_2_prefix"=>"", "author_2_suffix"=>"", "author_3_first"=>"Mauro", "author_3_last"=>"Iacono", "author_3_prefix"=>"", "author_3_suffix"=>"", "title"=>"A Domain Specific Language for the Design of Artificial Intelligence Applications for Process Engineering", "year"=>"2023", "journal"=>"Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST", "volume"=>"482 LNICST", "pages"=>"133 – 146", "doi"=>"10.1007/978-3-031-31234-2_8", "url"=>"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161581830&doi=10.1007%2f978-3-031-31234-2_8&partnerID=40&md5=abbef3f1cace946cfc4ba8dcbaead836", "abstract"=>"Processes in chemical engineering are frequently enacted by one-of-a-kind devices that implement dynamic processes with feedback regulations designed according to experimental studies and empirical tuning of new devices after the experience obtained on similar setups. While application of artificial intelligence based solutions is largely advocated by researchers in several fields of chemical engineering to face the problems deriving from these practices, few actual cases exist in literature and in industrial plants that leverage currently available tools as much as other application fields suggest. One of the factors that is limiting the spread of AI-based solutions in the field is the lack of tools that support the evaluation of the needs of plants, be those existing or to-be settlements. In this paper we provide a Domain Specific Language based approach for the evaluation of the basic performance requirements for cloud-based setups capable of supporting chemical engineering plants, with a metaphor that attempts to bridge the two worlds. © 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.", "author_keywords"=>"Artificial intelligence; cloud computing; domain specific language; performance evaluation; process engineering", "keywords"=>"Artificial intelligence; Bridges; Industrial plants; Problem oriented languages; Application fields; Cloud-computing; Domains specific languages; Dynamic process; Empirical tuning; Feedback regulation; New devices; One of a kind; Performance requirements; Performances evaluation; Process engineering", "publication_stage"=>"Final", "source"=>"Scopus", "note"=>"Cited by: 1"}
       

   Details
2. A DSL-based modeling approach for energy harvesting IoT/WSN

   Campanile, L., Iacono, M., Marulli, F., Gribaudo, M., & Mastroianni, M. (2022). A DSL-based modeling approach for energy harvesting IoT/WSN [Conference paper]. Proceedings - European Council for Modelling and Simulation, ECMS, 2022-May, 317–323. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130645195&partnerID=40&md5=f2d475b445f76d3b5f49752171c0fada

   Abstract

   The diffusion of intelligent services and the push for the integration of computing systems and services in the environment in which they operate require a constant sensing activity and the acquisition of different information from the environment and the users. Health monitoring, domotics, Industry 4.0 and environmental challenges leverage the availability of cost-effective sensing solutions that allow both the creation of knowledge bases and the automatic process of them, be it with algorithmic approaches or artificial intelligence solutions. The foundation of these solutions is given by the Internet of Things (IoT), and the substanding Wireless Sensor Networks (WSN) technology stack. Of course, design approaches are needed that enable defining efficient and effective sensing infrastructures, including energy related aspects. In this paper we present a Domain Specific Language for the design of energy aware WSN IoT solutions, that allows domain experts to define sensor network models that may be then analyzed by simulation-based or analytic techniques to evaluate the effect of task allocation and offioading and energy harvesting and utilization in the network. The language has been designed to leverage the SIMTHESys modeling framework and its multiformalism modeling evaluation features. ©ECMS Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat (Editors) 2022

   Publisher Details Copy BibTeX Download .bib

   {"key"=>"Campanile2022317", "type"=>"Conference paper", "bibtex"=>"@conference{Campanile2022317,\n  author = {Campanile, Lelio and Iacono, Mauro and Marulli, Fiammetta and Gribaudo, Marco and Mastroianni, Michele},\n  title = {A DSL-based modeling approach for energy harvesting IoT/WSN},\n  year = {2022},\n  journal = {Proceedings - European Council for Modelling and Simulation, ECMS},\n  volume = {2022-May},\n  pages = {317 – 323}\n}\n", "author"=>"Campanile, Lelio and Iacono, Mauro and Marulli, Fiammetta and Gribaudo, Marco and Mastroianni, Michele", "author_array"=>[{"first"=>"Lelio", "last"=>"Campanile", "prefix"=>"", "suffix"=>""}, {"first"=>"Mauro", "last"=>"Iacono", "prefix"=>"", "suffix"=>""}, {"first"=>"Fiammetta", "last"=>"Marulli", "prefix"=>"", "suffix"=>""}, {"first"=>"Marco", "last"=>"Gribaudo", "prefix"=>"", "suffix"=>""}, {"first"=>"Michele", "last"=>"Mastroianni", "prefix"=>"", "suffix"=>""}], "author_0_first"=>"Lelio", "author_0_last"=>"Campanile", "author_0_prefix"=>"", "author_0_suffix"=>"", "author_1_first"=>"Mauro", "author_1_last"=>"Iacono", "author_1_prefix"=>"", "author_1_suffix"=>"", "author_2_first"=>"Fiammetta", "author_2_last"=>"Marulli", "author_2_prefix"=>"", "author_2_suffix"=>"", "author_3_first"=>"Marco", "author_3_last"=>"Gribaudo", "author_3_prefix"=>"", "author_3_suffix"=>"", "author_4_first"=>"Michele", "author_4_last"=>"Mastroianni", "author_4_prefix"=>"", "author_4_suffix"=>"", "title"=>"A DSL-based modeling approach for energy harvesting IoT/WSN", "year"=>"2022", "journal"=>"Proceedings - European Council for Modelling and Simulation, ECMS", "volume"=>"2022-May", "pages"=>"317 – 323", "url"=>"https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130645195&partnerID=40&md5=f2d475b445f76d3b5f49752171c0fada", "abstract"=>"The diffusion of intelligent services and the push for the integration of computing systems and services in the environment in which they operate require a constant sensing activity and the acquisition of different information from the environment and the users. Health monitoring, domotics, Industry 4.0 and environmental challenges leverage the availability of cost-effective sensing solutions that allow both the creation of knowledge bases and the automatic process of them, be it with algorithmic approaches or artificial intelligence solutions. The foundation of these solutions is given by the Internet of Things (IoT), and the substanding Wireless Sensor Networks (WSN) technology stack. Of course, design approaches are needed that enable defining efficient and effective sensing infrastructures, including energy related aspects. In this paper we present a Domain Specific Language for the design of energy aware WSN IoT solutions, that allows domain experts to define sensor network models that may be then analyzed by simulation-based or analytic techniques to evaluate the effect of task allocation and offioading and energy harvesting and utilization in the network. The language has been designed to leverage the SIMTHESys modeling framework and its multiformalism modeling evaluation features. ©ECMS Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat (Editors) 2022", "author_keywords"=>"edge computing; energy management; Internet of Things; multiformalism modeling; ns-3; Performance evaluation; simulation; wireless sensor networks", "keywords"=>"Cost effectiveness; Curricula; Digital subscriber lines; Edge computing; Energy harvesting; Knowledge management; Modeling languages; Problem oriented languages; Wireless sensor networks; Based modelling; Computing services; Computing system; Edge computing; Intelligent Services; Modeling approach; Multi-formalism models; Ns-3; Performances evaluation; Simulation; Internet of things", "publication_stage"=>"Final", "source"=>"Scopus", "note"=>"Cited by: 3"}
       

   Details

← Back to all publications