This thesis investigates the influence of zinc oxide (ZnO) on the thermophysical characteristics of natural polymer-based nanofluids. The focus is on pectin nanofluids with incorporated ZnO nanoparticles. In this expe...This thesis investigates the influence of zinc oxide (ZnO) on the thermophysical characteristics of natural polymer-based nanofluids. The focus is on pectin nanofluids with incorporated ZnO nanoparticles. In this experiment, varying concentrations of zinc oxide (ZnO) were combined with a constant amount of pectin to study their effects on the final solution’s characteristics. Initially, ZnO and pectin solutions were prepared individually and subjected to magnetic stirring and sonication. The experiment involved three different concentrations of ZnO: 0.1 g, 0.02 g, and 0.03 g, while the weight of pectin remained constant at 0.05g throughout. After individual preparation, the solutions were mixed, further stirred, and subjected to sonication. Two analysis techniques, Scanning Electron Microscopy (SEM) and Thermogravimetric Analysis (TGA), were employed to characterize the samples. SEM provided insights into surface morphology and chemical composition, while TGA analyzed mass changes over temperature variations, offering valuable information on material properties. The significance and applications of these techniques in material characterization and analysis were discussed, highlighting their roles in understanding physical and chemical phenomena. The presence of ZnO nanoparticles enhanced the thermal stability of the pectin nanofluids. Contact angle measurements were performed to evaluate the hydrophilicity of the nanofluids. The contact angle trend indicated an increase in hydrophobicity with an increasing concentration of ZnO in the pectin nanofluids. The measured contact angles supported the high stability of the synthesized nanofluids. Overall, this study provides valuable insights into the incorporation of ZnO nanoparticles into pectin nanofluids and their impact on the thermophysical characteristics. The findings contribute to the development of nanofluids for potential applications in drug release and biomedical fields.展开更多
Recent years have witnessed the expeditious evolution of intelligentsmart devices and autonomous software technologies with the expandeddomains of computing from workplaces to smart computing in everydayroutine life a...Recent years have witnessed the expeditious evolution of intelligentsmart devices and autonomous software technologies with the expandeddomains of computing from workplaces to smart computing in everydayroutine life activities. This trend has been rapidly advancing towards the newgeneration of systems where smart devices play vital roles in acting intelligently on behalf of the users. Context-awareness has emerged from the pervasive computing paradigm. Context-aware systems have the ability to acquirecontextual information from the surrounding environment autonomously,perform reasoning on it, and then adapt their behaviors accordingly. With theproliferation of context-aware systems and smart sensors, real-time monitoring of environmental situations (context) has become quite trivial. However,it is often challenging because the imperfect nature of context can cause theinconsistent behavior of the system. In this paper, we propose a contextaware intelligent decision support formalism to assist cognitively impairedpeople in managing their routine life activities. For this, we present a semanticknowledge-based framework to contextualize the information from the environment using the protégé ontology editor and Semantic Web Rule Language(SWRL) rules. The set of contextualized information and the set of rulesacquired from the ontology can be used to model Context-aware Multi-AgentSystems (CMAS) in order to autonomously plan all activities of the users andnotify users to act accordingly. To illustrate the use of the proposed formalism,we model a case study of Mild Cognitive Impaired (MCI) patients usingColored Petri Nets (CPN) to show the reasoning process on how the contextaware agents collaboratively plan activities on the user’s behalf and validatethe correctness properties of the system.展开更多
Security of images plays an import role in communication in current era due to the popularity and high usage ofmultimedia content in the Internet.Image security is described as applying an encryption algorithm over th...Security of images plays an import role in communication in current era due to the popularity and high usage ofmultimedia content in the Internet.Image security is described as applying an encryption algorithm over the given plaintext images to produce cipher images that can be transmitted safely over the open channel,the Internet.The problem which plagues these image ciphers is that they are too much time consuming,and that do not meet the dictates of the present times.In this paper,we aim to provide an efficient image cipher.The previous studies employed many constructs like Langton’s Ant,15 puzzle game and Castle in the 2D scrambled image based image ciphers,which had grave implications related to the high execution time of the ciphers.The current study directly made use of the 2D scrambled image to realize the purpose.Moreover,no compromise has been made over the security of the proposed image cipher.Random numbers have been generated by triggering the Intertwining Logistic Chaotic map.The cipher has been subjected to many important validation metrics like key space,information entropy,correlation coefficient,crop attack and lastly time complexity to demonstrate its immunity to the various attacks,and its realworld application.In this paper,our proposed image cipher exhibits an encryption speed of 0.1797 s,which is far better than many of the existing encryption ciphers.展开更多
文摘This thesis investigates the influence of zinc oxide (ZnO) on the thermophysical characteristics of natural polymer-based nanofluids. The focus is on pectin nanofluids with incorporated ZnO nanoparticles. In this experiment, varying concentrations of zinc oxide (ZnO) were combined with a constant amount of pectin to study their effects on the final solution’s characteristics. Initially, ZnO and pectin solutions were prepared individually and subjected to magnetic stirring and sonication. The experiment involved three different concentrations of ZnO: 0.1 g, 0.02 g, and 0.03 g, while the weight of pectin remained constant at 0.05g throughout. After individual preparation, the solutions were mixed, further stirred, and subjected to sonication. Two analysis techniques, Scanning Electron Microscopy (SEM) and Thermogravimetric Analysis (TGA), were employed to characterize the samples. SEM provided insights into surface morphology and chemical composition, while TGA analyzed mass changes over temperature variations, offering valuable information on material properties. The significance and applications of these techniques in material characterization and analysis were discussed, highlighting their roles in understanding physical and chemical phenomena. The presence of ZnO nanoparticles enhanced the thermal stability of the pectin nanofluids. Contact angle measurements were performed to evaluate the hydrophilicity of the nanofluids. The contact angle trend indicated an increase in hydrophobicity with an increasing concentration of ZnO in the pectin nanofluids. The measured contact angles supported the high stability of the synthesized nanofluids. Overall, this study provides valuable insights into the incorporation of ZnO nanoparticles into pectin nanofluids and their impact on the thermophysical characteristics. The findings contribute to the development of nanofluids for potential applications in drug release and biomedical fields.
文摘Recent years have witnessed the expeditious evolution of intelligentsmart devices and autonomous software technologies with the expandeddomains of computing from workplaces to smart computing in everydayroutine life activities. This trend has been rapidly advancing towards the newgeneration of systems where smart devices play vital roles in acting intelligently on behalf of the users. Context-awareness has emerged from the pervasive computing paradigm. Context-aware systems have the ability to acquirecontextual information from the surrounding environment autonomously,perform reasoning on it, and then adapt their behaviors accordingly. With theproliferation of context-aware systems and smart sensors, real-time monitoring of environmental situations (context) has become quite trivial. However,it is often challenging because the imperfect nature of context can cause theinconsistent behavior of the system. In this paper, we propose a contextaware intelligent decision support formalism to assist cognitively impairedpeople in managing their routine life activities. For this, we present a semanticknowledge-based framework to contextualize the information from the environment using the protégé ontology editor and Semantic Web Rule Language(SWRL) rules. The set of contextualized information and the set of rulesacquired from the ontology can be used to model Context-aware Multi-AgentSystems (CMAS) in order to autonomously plan all activities of the users andnotify users to act accordingly. To illustrate the use of the proposed formalism,we model a case study of Mild Cognitive Impaired (MCI) patients usingColored Petri Nets (CPN) to show the reasoning process on how the contextaware agents collaboratively plan activities on the user’s behalf and validatethe correctness properties of the system.
文摘Security of images plays an import role in communication in current era due to the popularity and high usage ofmultimedia content in the Internet.Image security is described as applying an encryption algorithm over the given plaintext images to produce cipher images that can be transmitted safely over the open channel,the Internet.The problem which plagues these image ciphers is that they are too much time consuming,and that do not meet the dictates of the present times.In this paper,we aim to provide an efficient image cipher.The previous studies employed many constructs like Langton’s Ant,15 puzzle game and Castle in the 2D scrambled image based image ciphers,which had grave implications related to the high execution time of the ciphers.The current study directly made use of the 2D scrambled image to realize the purpose.Moreover,no compromise has been made over the security of the proposed image cipher.Random numbers have been generated by triggering the Intertwining Logistic Chaotic map.The cipher has been subjected to many important validation metrics like key space,information entropy,correlation coefficient,crop attack and lastly time complexity to demonstrate its immunity to the various attacks,and its realworld application.In this paper,our proposed image cipher exhibits an encryption speed of 0.1797 s,which is far better than many of the existing encryption ciphers.
