Emergence of Internet of Things (IoT) and modern digital applications such as digital financial services and deliveries make it easy to reproduce and re-distribute digital contents thus give room to ...so many copyright violations of illegal use of contents that need to be resolved. Researcher have been presenting the watermarking algorithms to prevent these illicit activities to a document before distribution. However, several issues have been identified for the digital transactions in the IoT. Thus, this research proposes a new text document image watermarking algorithm which emphasizes on two most important measures, visual quality, and robustness. To boost these measures, third least significant bit has been used for insertion. In addition, to further strengthen the technique, the Pascal Triangle is applied to determine the best position for embedding. Experimental results on the standard dataset have revealed that the proposed watermarking has achieved very encouraging results with PSNR and NCC averaged 54.95db and 0.98, respectively.
In recent times, the move towards sustainable manufacturing is guiding industries to adopt a low-impact manufacturing methodology that can boost productivity and reduce environmental impact. In this ...novel study, an evaluation of Deep Hole Drilling on AISI1045 under three different cooling techniques Flood, Emulsion, and Mist cooling was carried out. Traditionally, the flood cooling technique is used as the cooling and lubricating method, in which an increased amount of coolant is supplied with high pressure to remove chips from the machined surface. But it has negative effects on the environment, health, and machining cost. To overcome these constraints mist cooling is used as the lubricating technique which has shown promising results in many machining processes. To carry out the experimentation, three input process parameters Spindle Speed, Cutting Feed, and Pressure of the coolant were taken and Surface roughness, circularity, cylindricity, Hole wall Temperature, and tool wear were considered as output parameters to measure the hole quality. Among all the cooling techniques, mist cooling proved to be worthy in terms of attaining sustainability and produced good results in terms of Surface Finish, Tool Wear, and Hole Profile. Tool wear under mist cooling was reduced by 13–28% and 25–35% when compared with Cutting oil and emulsion, respectively, which may be attributed to reduced abrasion and adhesion under mist cooling. The surface finish was improved by 42–50% and 20–32% improved under mist cooling when compared with cutting oil and emulsion, respectively.
•Agriculture is crucial for human development and depends heavily on irrigation. This paper presents an autonomous irrigation system using AI and 6G-IoT.•The system uses a prediction algorithm based ...on weather history data to anticipate rainfall patterns and climate changes.•It creates an intelligent system that irrigates the fields according to environmental conditions.•The developed system achieved an accuracy of 86.34%, sensitivity of 89.28%, and precision of 91%.
Agriculture plays a vital role in the growth of humankind. The total world depends upon the agricultural contribution, and wherein the agriculture purely depends upon the necessity of irrigation. This paper develops an autonomous irrigation system using Artificial Intelligence (AI) and the 6G enabled Internet of Things (6G-IoT) transforming to create a hassle-free smart agriculture model. The developed autonomous irrigation system is purely based on prediction algorithm which is mount in a microprocessor, which uses weather history data using IoT to identify and predict rainfall patterns and any climatic changes; hence it creates an intelligent system which irrigates the field depending upon the outer environment. The developed system not only checks the environmental condition, but it also measures the moisture content of the soil to supply the required amount of water to the crops. The developed autonomous AI and 6G-IoT based smart agricultural irrigation system has been tested under control environment with an accuracy of 86.34%, sensitivity of 89.28% and precision of 91%. Hence, the proposed methodology could be the possible solution for autonomous irrigation of crops in future.
Grid computing is distributed computing that coordinates and utilizes computing power, data storage, applications and network resources in dynamic and geographically dispersed organizations. Resource ...management and application scheduling are two major grid computing problems. Resources are heterogeneous regarding power, architecture, configuration and availability complicating task scheduling. The aim of grid scheduling is in reducing makespan. In grid applications, users should be ensured reliable transactions. Trust is multi-dimensional factor and depends on components like entity reputation, policies and opinions of the entity. A trust based scheduling approach is proposed in this study.
Web services is software entity allows machine to machine communication, operates as standalone unit and interoperability over network using standard web technologies such as Hypertext transfer ...protocol (HTTP) and eXtensible markup language (XML). With the rapid growth of cloud platform, infrastructure and emergence of multiple Digital transformation technologies, more and more conventional applications are transformed into web-based services. Service-based approach creates tremendous impact on multimedia content storage, retrieval, delivery and communication. With cloud infrastructure and service, get economically viable, real time, high resolution multimedia content on-the-go anywhere and everywhere using adaptive http streaming approach. This paper presents convergence of adaptive http streaming from conventional infrastructure to cloud enabled model and presents the advancement and architecture of adaptive http streaming delivery as a web-based service delivery approach. The detailed performance evaluation of conventional and cloud enabled service-based approaches were presented, and the metrics were compared from real-time experiment. By analyzing performance indices and characteristics, cloud enabled multimedia service delivery approach poses advantages, gives promising result and better user experience compare to the conventional adaptive HTTP streaming approach.
PurposeThe purpose of the research is to concentrate on the most important smart metropolitan applications which are smart living, smart security and smart maintainable. In that, Power management and ...security is a most important problem in the current metropolitan situation.Design/methodology/approachA smart metropolitan area utilizes recent innovative technologies to improve its living, security and maintainable. The aim of this study is to recognize and resolve the difficulties in metropolitan area applications.FindingsThe main aim of this study is to reduce the metropolitan foremost energy consumption, to recharge the electric vehicles and to increase the lifetime of smart street lights.Originality/valueThe hybrid renewable energy street light applies smart resolutions to substructure and facilities in rural and metropolitan areas to create them well. This study will be applying smart metropolitan solar and wind turbine street light using renewable energy for existing areas. In future, the smart street light work will be implemented everywhere else.
Comprehensive Analysis of Cloud based Databases Kumar, E. Saravana; Kesavan, Selvaraj; Naidu, R. Ch. A ...
IOP conference series. Materials Science and Engineering,
04/2021, Letnik:
1131, Številka:
1
Journal Article
Recenzirano
Odprti dostop
Abstract
With standard change in the computing architecture and distributed, wide range processing approach leverage the large data to be analyzed and extract the content. The recent advancement in ...Web technology enables the user to produce process and ingest content of any structure. Cloud computing helps to provide computing infrastructure, centralized storage and seamless services for organizations and users. In a digital world, data is core aspect of the economy, become part of government, enterprise, social sectors and every individual in a day to day life. Data analysis is gathering of strength in both research and production communities. There are many social networking sites, web, enterprise and IoT data require being stored in secured, centralized data store. It also demands data to be stored without any predefined schema and able to retrieve in near real time. When demand goes up application needs to be scaled to sustain for the demand. Similarly, data store should support scalability to support applications demand. Cloud providers and third-party organization offers numerous data storage, database options. This article highlights various available data storage options, suitability and limitations.
Technological help can be used for improving the cultivation of critical crops for optimal production and quality. Automatic plant disease detection is an interesting study issue as it may be ...beneficial for the monitoring of vast agricultural fields and thus the automatic identification of disease by the symptoms in the various sections of plants. This work contributes an automated diagnosis of different rice-related diseases utilizing image processing, deep learning, machine learning, and methods for meta-heuristic optimization. These measures include picture dataset size, class numbers, preprocessing procedures, classification approaches, performance analysis, etc. Researches from the previous decade are extensively reviewed, including studies on numerous rice plant diseases, and an investigation of the key features is provided. The survey provides insights into the various approaches used to identify disease in rice plants. Different attributes evaluated for the study include the kind of segmentation, dividing technology, extracted features, author name, dataset size and year of publication, disease category, techniques, accuracy of detection as well as classification and constraints. Furthermore, a model using a hybrid deep learning technique is proposed to identify diseases in rice plant such as rice blast, brown spots, leaf smut, tungsten and sheath.
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