{"title":"A Review on Child Safety Monitoring System Based on IOT","authors":"","doi":"10.46632/rmc/4/2/17","DOIUrl":"https://doi.org/10.46632/rmc/4/2/17","url":null,"abstract":"","PeriodicalId":78400,"journal":{"name":"La Ricerca scientifica. 2. ser., pt. 2: Rendiconti. Sezione B: Biologica","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136172982","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 Review on New Accounting History and Empirical Research","authors":"","doi":"10.46632/rmc/4/2/12","DOIUrl":"https://doi.org/10.46632/rmc/4/2/12","url":null,"abstract":"","PeriodicalId":78400,"journal":{"name":"La Ricerca scientifica. 2. ser., pt. 2: Rendiconti. Sezione B: Biologica","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135382468","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 Review on Regulations of Financial Reporting","authors":"","doi":"10.46632/rmc/4/2/19","DOIUrl":"https://doi.org/10.46632/rmc/4/2/19","url":null,"abstract":"","PeriodicalId":78400,"journal":{"name":"La Ricerca scientifica. 2. ser., pt. 2: Rendiconti. Sezione B: Biologica","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135382467","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}
K.R Chandru, D. S. Robinson Smart, M. Ramachandran, Chinnasami Sivaji
A Decision Support System (DSS) is a computerized system that helps users make decisions. In the field of air transport, RAL has developed DSSs to support decision making in various settings, including surface transportation and national security. The purpose of this chapter is to explore the maintenance hypothesis of conditional status checking and propose supporting concepts, such as enhanced care and proactive maintenance. These concepts are further enhanced by robust validation and strategies to improve the effectiveness of care in an extraordinary way. Therefore, a decision support system framework is necessary to build today's flying maintenance framework. Maintenance Decision Support Systems (MDSS) offer a valuable tool for aeronautical support, enhancing maintenance efficiency and cost control. However, further research is required to delve into the associated topics of flying MDSS. Due to the diverse configurations and intricate structures of modern aircraft, a significant number of aircraft parameters need to be evaluated. To facilitate further research, it is essential to establish systematic procedures for compiling a valuable database and define research criteria to assess the sufficiency of existing information. Considering the cost issues associated with continuous flight position information, determining the criteria for data download should guide further research.
{"title":"Integrating the Digital Twin of Decision Support Systems in Aeronautics","authors":"K.R Chandru, D. S. Robinson Smart, M. Ramachandran, Chinnasami Sivaji","doi":"10.46632/jame/2/2/3","DOIUrl":"https://doi.org/10.46632/jame/2/2/3","url":null,"abstract":"A Decision Support System (DSS) is a computerized system that helps users make decisions. In the field of air transport, RAL has developed DSSs to support decision making in various settings, including surface transportation and national security. The purpose of this chapter is to explore the maintenance hypothesis of conditional status checking and propose supporting concepts, such as enhanced care and proactive maintenance. These concepts are further enhanced by robust validation and strategies to improve the effectiveness of care in an extraordinary way. Therefore, a decision support system framework is necessary to build today's flying maintenance framework. Maintenance Decision Support Systems (MDSS) offer a valuable tool for aeronautical support, enhancing maintenance efficiency and cost control. However, further research is required to delve into the associated topics of flying MDSS. Due to the diverse configurations and intricate structures of modern aircraft, a significant number of aircraft parameters need to be evaluated. To facilitate further research, it is essential to establish systematic procedures for compiling a valuable database and define research criteria to assess the sufficiency of existing information. Considering the cost issues associated with continuous flight position information, determining the criteria for data download should guide further research.","PeriodicalId":78400,"journal":{"name":"La Ricerca scientifica. 2. ser., pt. 2: Rendiconti. Sezione B: Biologica","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87116614","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}
Now a days, technology of Internet become very fast growing development and rapid advancement in software. Internet is very essential resource for the people. IOT, Machine Learning, Big Data technologies, Artificial Intelligence etc., are some of the new technologies with variety of applications all over the world. Predicting the future in the computing Industry is very harder. In the field of software introduces of key changes to the research process. As a result, the software research is blowing in increasing breath of topics that tends to Implementation. Software technology today is improving at a rapid growth, enabling faster change and progress, Causing an accelerating of the rate of change. It is not only technology trends and emerging technologies that are extend, a lot more has changed this year due to COVID-19. The software development techniques may tend to learning and relearning process. Keywords: Automation, Big Data, Middleware platform, IoT, Wrangling
{"title":"Software Development Techniques In Current Scenario","authors":"","doi":"10.46632/daai/3/2/10","DOIUrl":"https://doi.org/10.46632/daai/3/2/10","url":null,"abstract":"Now a days, technology of Internet become very fast growing development and rapid advancement in software. Internet is very essential resource for the people. IOT, Machine Learning, Big Data technologies, Artificial Intelligence etc., are some of the new technologies with variety of applications all over the world. Predicting the future in the computing Industry is very harder. In the field of software introduces of key changes to the research process. As a result, the software research is blowing in increasing breath of topics that tends to Implementation. Software technology today is improving at a rapid growth, enabling faster change and progress, Causing an accelerating of the rate of change. It is not only technology trends and emerging technologies that are extend, a lot more has changed this year due to COVID-19. The software development techniques may tend to learning and relearning process. Keywords: Automation, Big Data, Middleware platform, IoT, Wrangling","PeriodicalId":78400,"journal":{"name":"La Ricerca scientifica. 2. ser., pt. 2: Rendiconti. Sezione B: Biologica","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136177985","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}
The use of a fast evolving artificial intelligence technology (AIT) to forecast the vibration response of maritime soil based on geocells is explored in this research. The vibration response is represented by an indicator called peak particle velocity (PPV). For the purpose of predicting PPV, the artificial intelligence techniques Artificial Neural Network (ANN) and Modified Gravitational Search Algorithm (MGSA) are employed. To create the dataset for the model, a number of field vibration tests were first performed over the geocell-reinforced beds. PPV variation was investigated by varying the test variables—footing embedment, dynamic load, infill material modulus, width, and depth of geocell mattress placement—during the test performed. The various statistical indicators were determined in order to evaluate the prediction performance of a constructed model. Plate load results on geocell-reinforced foundation beds have been used to validate the proposed hybrid ANN-MGSA model. High accuracy and consistency were found when the findings of the ANN-EHO, JSA, MOA, and RNN method were compared, particularly at predicted and actual resolution levels. A parametric sensitivity has also been examined in order to better understand the behaviour of geocell-reinforced structures.
{"title":"Performance of Artificial Neural Network and Modified Gravitational Search Algorithm Models to Predict Vibration Response of Geocell Reinforced Based Weak Sand","authors":"","doi":"10.46632/daai/3/2/38","DOIUrl":"https://doi.org/10.46632/daai/3/2/38","url":null,"abstract":"The use of a fast evolving artificial intelligence technology (AIT) to forecast the vibration response of maritime soil based on geocells is explored in this research. The vibration response is represented by an indicator called peak particle velocity (PPV). For the purpose of predicting PPV, the artificial intelligence techniques Artificial Neural Network (ANN) and Modified Gravitational Search Algorithm (MGSA) are employed. To create the dataset for the model, a number of field vibration tests were first performed over the geocell-reinforced beds. PPV variation was investigated by varying the test variables—footing embedment, dynamic load, infill material modulus, width, and depth of geocell mattress placement—during the test performed. The various statistical indicators were determined in order to evaluate the prediction performance of a constructed model. Plate load results on geocell-reinforced foundation beds have been used to validate the proposed hybrid ANN-MGSA model. High accuracy and consistency were found when the findings of the ANN-EHO, JSA, MOA, and RNN method were compared, particularly at predicted and actual resolution levels. A parametric sensitivity has also been examined in order to better understand the behaviour of geocell-reinforced structures.","PeriodicalId":78400,"journal":{"name":"La Ricerca scientifica. 2. ser., pt. 2: Rendiconti. Sezione B: Biologica","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134941958","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}
Chinnasami Sivaji, P.K.Chidambaram, M. Ramachandran, Ashwini Murugan
Composite facade cladding consists of two main types; Aluminum-polyethylene composite panels and wood-plastic composite materials. Aluminum composite cladding panels have a composite core sandwiched between two thin layers of aluminum. This is the physical boundary applied to your existing structure that covers most of the exterior surface of your home. When it comes to architectural aesthetics and functionality, facade cladding known as siding meets the best of both worlds. In addition to being aesthetically pleasing, building facades play Energy Combining architectural design with With the latest innovations in interior design, materials, ideas and design, playing a key role in performance and exterior building facades open up many possibilities for buildings. Brick facade, stone facade, plaster cement facade, composite facade, curtain wall alternative values Resistance to fire efficiency, reconstruction efficiency, reconstruction efficiency, reduction of energy loss evaluation parameter used in VIKOR. Curtain wall is the first rank; Stone façade is the last rank. The word face is originally derived from the Italian word "fasciata". The word face is first Defined as the exterior or all exterior faces of a building
{"title":"Performance Analysis of Facade Materials using VIKOR Method","authors":"Chinnasami Sivaji, P.K.Chidambaram, M. Ramachandran, Ashwini Murugan","doi":"10.46632/jame/1/2/6","DOIUrl":"https://doi.org/10.46632/jame/1/2/6","url":null,"abstract":"Composite facade cladding consists of two main types; Aluminum-polyethylene composite panels and wood-plastic composite materials. Aluminum composite cladding panels have a composite core sandwiched between two thin layers of aluminum. This is the physical boundary applied to your existing structure that covers most of the exterior surface of your home. When it comes to architectural aesthetics and functionality, facade cladding known as siding meets the best of both worlds. In addition to being aesthetically pleasing, building facades play Energy Combining architectural design with With the latest innovations in interior design, materials, ideas and design, playing a key role in performance and exterior building facades open up many possibilities for buildings. Brick facade, stone facade, plaster cement facade, composite facade, curtain wall alternative values Resistance to fire efficiency, reconstruction efficiency, reconstruction efficiency, reduction of energy loss evaluation parameter used in VIKOR. Curtain wall is the first rank; Stone façade is the last rank. The word face is originally derived from the Italian word \"fasciata\". The word face is first Defined as the exterior or all exterior faces of a building","PeriodicalId":78400,"journal":{"name":"La Ricerca scientifica. 2. ser., pt. 2: Rendiconti. Sezione B: Biologica","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78442735","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":"Evaluating Sustainable Transportation Systems Using Weight Product Method","authors":"","doi":"10.46632/jame/1/2/5","DOIUrl":"https://doi.org/10.46632/jame/1/2/5","url":null,"abstract":"","PeriodicalId":78400,"journal":{"name":"La Ricerca scientifica. 2. ser., pt. 2: Rendiconti. Sezione B: Biologica","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87915707","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}
Nanotechnology becomes the most interesting area for researchers from last two decades. There are several methods to synthesis nanoparticles but the use of green method for synthesis reduces or eliminates the generation of hazardous byproducts. Green synthesis method is environment friendly alternative to conventional synthesis techniques. Green chemistry is about reducing risk, energy, environmental impact, hazard, cost, materials and waste. The green method or biological method involves the use of microorganisms, plants etc. for synthesis of nanoparticles. In our present research work we use Murraya koenigii leaves powder extract as reducing and capping agent. Plant sources containing the phytoconstituents viz., Tannins, Alkaloids, Polyphenols, Flavonoids, Citric acid etc. Metallic and metal oxides nanoparticles of various shapes, sizes, contents and physicochemical properties can be synthesized using green synthesis method. The synthesized Iron oxide Nanoparticles were characterized be different analytical techniques. The surface morphology revealed by SEM, elemental composition by EDX, Different functional groups revealed by FTIR spectroscopy and particle size measured by particle size analyzer.
{"title":"Synthesis and Characterization of Iron Oxide Nanoparticles by Murraya Koenigii leaves","authors":"S. Sandeep, S. Santosh Kumar, Meena Krisn Pratap","doi":"10.46632/jame/2/2/2","DOIUrl":"https://doi.org/10.46632/jame/2/2/2","url":null,"abstract":"Nanotechnology becomes the most interesting area for researchers from last two decades. There are several methods to synthesis nanoparticles but the use of green method for synthesis reduces or eliminates the generation of hazardous byproducts. Green synthesis method is environment friendly alternative to conventional synthesis techniques. Green chemistry is about reducing risk, energy, environmental impact, hazard, cost, materials and waste. The green method or biological method involves the use of microorganisms, plants etc. for synthesis of nanoparticles. In our present research work we use Murraya koenigii leaves powder extract as reducing and capping agent. Plant sources containing the phytoconstituents viz., Tannins, Alkaloids, Polyphenols, Flavonoids, Citric acid etc. Metallic and metal oxides nanoparticles of various shapes, sizes, contents and physicochemical properties can be synthesized using green synthesis method. The synthesized Iron oxide Nanoparticles were characterized be different analytical techniques. The surface morphology revealed by SEM, elemental composition by EDX, Different functional groups revealed by FTIR spectroscopy and particle size measured by particle size analyzer.","PeriodicalId":78400,"journal":{"name":"La Ricerca scientifica. 2. ser., pt. 2: Rendiconti. Sezione B: Biologica","volume":"89 3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89396950","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}
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