Internet of Things (IoT) has the potential to significantly impact various domains e.g. health, transportation, automation, and emergency response to both man-made and natural disasters, particularly in scenarios where human decision is challenging. In this research a Role-Based Access Control (RBAC) Enabled Secure and Efficient Data Processing Framework for IoT Networks has been proposed. This framework ensures robust security and optimized data handling through granular access control mechanisms based on predefined roles. By leveraging RBAC, it mitigates unauthorized access risks, thereby safeguarding sensitive IoT data during transmission and storage. Our approach emphasizes efficiency by streamlining data processing workflows, reducing latency, and optimizing resource utilization. The framework is designed to scale with IoT network expansions and adapt to evolving security needs, promising enhanced reliability and trustworthiness in data operations for contemporary IoT environments. According to this research work current security effectiveness is 99 percent.Home area network (HAN) can be used for smart connectivity of different home appliances using IoT and automatic start and stop feature may be possible.Access control server (ACS) is used to control access and provide permission for different operations.
With the accelerated development of urbanization, urban neighborhood landscape design is faced with many challenges such as the shortage of urban space and the loss of living environment. Therefore, in this study, the application of artificial neural network model in architectural landscape design is carried out, which provides new ideas and methods for realizing more scientific and accurate design assistance. To explore the feasibility of an artificial neural network model in architectural landscape design, this study takes the streetscape data as the basis and extracts three kinds of visual landscape elements of urban outdoor environment, namely, green visibility, sky visibility, and building visibility, and measures six perceptual indexes of urban neighborhood residents, namely, safety, vitality, beauty, affluence, depression, and boredom. Finally, multiple linear regression analysis was used to reveal the relationship between visual landscape elements and residents' spiritual perceptions. The results show that green space, blue space, and gray space in the city shows an aggregated distribution pattern according to the functional characteristics of the city: the overall green visual elements are more scarce; there is obvious spatial differentiation between positive and negative perceptions; and the green visibility rate has a significant positive effect on the residents' comprehensive perceptions. In addition, the optimized schematic diagram shows that the contour density and coverage of communication facilities in the optimized landscape network as well as the rationality of landscape optimization have been greatly improved and enhanced.
The in-depth development of "Internet +" has made the application of data information technology in ESG (Environmental, Social and Governance) management more extensive and has made the optimization of ESG management the focus of listed companies. The original statistical evaluation method cannot solve the problem of improving the level of ESG management, and the ability to improve the quality of the environment, society and the company is weak, increasing ESG management's difficulty. Therefore, this paper proposes a method based on big data technology to optimize ESG management. First, the "Internet +" technology is used to analyze environmental, social and company quality data, and ESG management classification is carried out according to the requirements of listed companies. Then, according to the classification results, the "Internet+" technology forms different ESG management sets and iteratively mines different sets to obtain the optimal optimization strategy. After MATLAB testing, the effect of ESG management can be improved based on Internet + technology. The effect improvement rate reaches 92.6%, the ESG management process is improved, the improvement is 25%, and the ESG management time is reduced to 15 seconds, which meets the ESG management needs of listed companies.
In the process of increasing the number of elderly people, their care and attention have received greater attention, which has made traditional community environments face insufficient data encryption performance and data mining services in the communication network security of aging communities. This has made communication security optimization and intelligent monitoring models in urban community aging adaptation and transformation a focus of research in the field of data communication security. This study delves into the improvement and enhancement of intelligent monitoring models for communication network security in urban communities. Its goal is to improve the security and intelligent monitoring mode of data communication networks during the transformation process through technological innovation and progress in management practices, and further improve the security performance of data communication. This research has solved the communication network security problems existing in intelligent devices and Internet services in the community aging transformation. Through the analysis of improvement strategies, this article compares the basic performance indicators of data encryption, firewall performance, data analysis and mining, and intelligent recommendation in communication network security and intelligent recommendation between different models. The optimization of communication network security in urban community aging adaptation can ensure the data security of terminal devices and further improve and enhance intelligent recommendation services for aging, providing more references and suggestions for communication network security and intelligent monitoring.
This paper, based on UAV far-flung sensing science and synthetic brain algorithm, studies the monitoring and early warning technological know-how of flood catastrophes. Firstly, the far-flung sensing monitoring science of flood catastrophes is summarized. Then, blended with geographic records machine (GIS) technology, the UAV far-flung sensing science software in flood catastrophe monitoring is analyzed. Finally, combining the micro-UAV technological know-how and AI technology, the key applied sciences of the micro-UAV flood catastrophe monitoring and early warning device primarily based on AI imaginative and prescient are studied, along with the lookup of the micro-UAV key gadget and the lookup of AI imaginative and prescient key technology. The key device lookup of micro-UAV is the definition of mindset. Mindset A mindset lookup on key applied sciences of AI, imaginative and prescient broadly speaking, expounds the precept of CNN and introduces Faster RCNN. It lays the groundwork for the later lookup on flood catastrophe monitoring and early warning technological know-how primarily based on UAV far-off sensing and AI algorithms.
In wireless sensor networks, the data received from sensor nodes is processed and communicated to the next node or cluster head. Sensed data are meaningful only when location information is embedded with the data. Therefore, the sensor should be able to estimate its location information and embed the location information with the sensed data. This research work proposes three hybrid nature-inspired localization optimization algorithms for location estimation of sensor nodes, namely the Hybrid genetic –Bat Localization Algorithm (GA-BAT LA), Hybrid Bat- Particle Swarm Optimization Localization Algorithm (BAT-PSO LA), and Hybrid genetic -Bat- Particle Swarm Optimization Localization Algorithm (GA-BAT-PSO LA). The localization algorithms are developed, implemented, and compared to ensure the accuracy of the estimation of location information. A fixed number of location-known anchor nodes with a variable location-unknown sensor node are considered. The algorithms are compared for a minimum number of iterations, average number of iterations, standard deviation, maximum number of iterations, time complexity, and accuracy to estimate the location of the sensor nodes.
Manets are self-governing networks using several mobile nodes, which communicate together through wireless media, without the necessity of prior infrastructure. Therefore, due to highly dynamic and unconfident environments, Manets are weak to guarantee link lifetime, security, reliability and stability. Since, mobility, energy and security are the main factors for improved performance in the network. Paths and relay devices with enhanced stability and security are considered as critical subjects. The study suggests an improved process based on a Multicriteria purpose consistent with numerous systems of measurement. These systems of measurement are energy level, trust measure and mobility of mobile nodes. The concept is to select improved Multipoint relays (MPRs) able to transmit data efficiently, and increase lifetime and reachability. The proposed improvement supports the routing and the selection of paths. The selection of the greatest effective relay nodes can enhance the classification performance. The scheme is based on the OLSR protocol and performance results are defined using the network simulator (NS3) with different movement models. The results showed significant improvements in MCW_OLSR. The proposed version enhances network proficiency for different mobile environments.
In the current scenario Automobile industry focuses on enhancing the strength and reducing the weight of body parts. The fuel efficiency and emission regulation of two wheelers are two important issues in these days. The best way to increase the fuel efficiency without sacrificing safety is to employ fiber reinforced composite materials used for the two wheeler. In this study two wheeler mudguard which is used to protect the mud and rain water placed on front and rear wheel is considered for investigations. Mudguard is the one of the part having more weight and in my work, the existing steel/ABS plastic mudguard replace with composite mudguard. The fabrication of composite material is made up of Epoxy resin with banana and jute reinforced polymer is carried out and weight of the mudguard will reduce. In this work, fabrication of Banana and jute fiber composite material is completed and its mechanical properties like hardness, tensile strength etc., are calculated and analyzed. Experimental testings are conducted before and after curing with four different sample ratios. The maximum values are obtained for the sample ratios (40:60, 50:50)
Hydraulic energy is one of the most important sources of renewable energy today.it is also a complementary source to other renewable energy sources, being the only one that offers an important nonpolluting storage capacity. The geometrical shapes are four blades, Screw angel of 100 to 500. The Archimedes screw turbine is being explored all around the world as one of the best candidates for efficient electricity generation at low head and low flow rate sites. The experimental work conducted for the screw turbine angels ranges from 100 to 500 with different flow rates. The efficiency of the Archimedes screw turbine was calculated for the experimental results. The experimental work is completed by using drainage water for the different range angles and different flow rate to produce the higher electricity. Theoritical and experimental values are compared. The maximum power of 12W is generated at the 300 screw angle and 7 rpm rotar.
The role of numerical protection analysis in the digital protection of Shen Xiu's intangible culture has changed the numerical value of Shen Xiu's intangible culture and made the digital protection of Shen Xiu's intangible culture a hot spot. However, in the process of numerical protection of intangible culture in Shen Xiu, there are some problems, such as poor digital collection effect and small amount of digital processing data. The main reason is that the traditional way of oral transmission and heart-to-heart transmission limits the development of digital numerical protection of intangible culture in Shen Xiu. Therefore, this paper proposes a digital protection method for Shen Xiu's intangible culture based on software-defined technology and plans the characteristics of Shen Xiu's intangible culture with different values. First of all, the data of Shen Xiu intangible culture in Shen Xiu are collected by software-defined technology, and the data of different values are summarized by software-defined technology, and the numerical division of Shen Xiu intangible culture is carried out according to the characteristics of Suzhou embroidery, leaving common characteristics. Then, according to the software-defined technology, the protective communication of numerical protection is carried out to promote the integration of the characteristics of Shen Xiu's intangible culture. The results of numerical protection analysis show that software-defined technology can improve the numerical extraction level of Shen Xiu intangible culture, promote the development of digital numerical protection of Shen Xiu intangible culture by using software-defined technology, and meet the requirements of numerical protection of Shen Xiu intangible culture.
With the continuous development of big data and blockchain technology, there are more applications of warehousing sharing platform, and warehousing transaction method has become the research focus. The original barter method can not solve the problem of accurate warehousing transactions, and the calculation accuracy of warehousing transactions is poor. Therefore, this paper proposes a warehouse transaction model based on blockchain technology, and comprehensively analyzes the form and accuracy of warehouse transactions. Firstly, the warehouse trading platform is used to count the transaction data and transaction methods, and the transaction forms and results are judged according to the warehouse characteristics, and irrelevant transaction information is abandoned. Then, according to the change rate of transaction data and transaction mode, the results are calculated, and compared with the actual transaction situation, and the parameters and indicators of transaction calculation are adjusted. MATLAB simulation test analysis shows that blockchain calculation method can improve the accuracy of warehousing transactions, and the accuracy rate reaches 95.3%. According to different transaction contents, the platform and form are judged, and the transaction time is calculated. It is found that the blockchain calculation method can meet the needs of warehousing transactions.
Collaborative As the rate of urbanisation is increasing at a very fast pace, there is a huge demand for Landscape planning with proper public space optimisation. China, a country which has witnessed rapid growth in population and economics, has become a target of urbanisation. The country is known for its aesthetic appeal in the Grand Canal cultural park, which has been a primary factor in the country's development since ancient times. However, landscape planning with efficient utilization of available public space in the region using contemporary computing technologies is the need of the hour. This work focuses on deploying Computer-Aided Design in landscape planning using the Artisan plugin, specifically meant for environment planning. The special tools available in this plugin help landscape planning architects to accurately study the characteristics of the landscape, like terrain, water bodies, planar regions, etc. Also, this work proposed a four-phased model that aids the development process of landscape planning activity by including micro-level factors that directly interact with the environment. In future, this model could be extended to include AR, VR, AI and ML technologies.
With the rapid development of wireless network technology and the rapid popularity of portable smart terminals, multimedia communication based on images and videos has become the favorite way of communication in the new era. Image style transfer technology is one of the research directions that has attracted much attention in the field of multimedia communication. To achieve the diversification of images and ease of use in the multimedia communication process, this paper researches the multimedia network communication technology and image style transfer technology. By combining visual style transfer technology and depth residual adaptive network technology in multimedia communication technology, the redesign and creation of graphics can be carried out effectively. The resulting graphics can meet the needs of the art creators and the technique provides higher creative efficiency, excellent peak model signal-to-noise ratio and structural similarity performance, and output levels that meet the basic needs compared to traditional manual design. The method can be effectively used in urban building appearance design and art creation and has good theoretical and practical research value.
The Internet of Things (IoT) technology is inevitably forging ahead in a number of areas all among them being the agricultural sector and in particular the affected environment. This paper utilizes the farm's IoT where through an effective analysis, the smart garden is designed and managed. It blends field research, project implementations and theoretical analysis to improve the case implementation. It can be considered as more rigorous and practical. The study intends, first and foremost, to look at agricultural IoT based technologies and how IoT changes the way farmers work and agricultural landscapes look. Different theories have been used in the implementation of these concepts which include agriculture, tourism, and landscape design. The technical side will integrate the Internet of Things technology, the adaptation theory of agricultural industrialization, the formation of the theory of ecotourism, the application of tourism psychological theory in tourism discipline, the ecology theory of landscape and aesthetics theory, and landscape gardening planning and design theory. A comprehensive examination of the smart park has been conducted, including relevant theories and the application of planning and design principles. This systematic research aims to provide scientific direction for the agricultural aspects of the smart park. In order to offer scientific direction for the planning and design of agricultural Internet of Things (IoT) in smart gardens, this study presents a theoretical framework for the planning and design of smart gardens that incorporate agricultural IoT. The framework is comprehensively explained, encompassing its concept, distinguishing features, relevant theories, and guidance approaches.
At present, the economic ties between countries worldwide are getting closer and closer. In a world where the internet industry is developing rapidly, Digital learning and ICT applications in blockchain have gradually matured. This paper takes digital learning and ICT blockchain application in e-commerce as the main research object, The rapid development of e-commerce has been promoted through the extensive application of digital learning and information and communication technology blockchain in e-commerce. Digital learning and information and communication technology solve the problems of e-commerce payment with encryption characteristics and security and openness in blockchain; At the same time, the information can be traced and cannot be tampered with to solve the quality problem of e-commerce goods. In a real sense to promote the sustainable development of the field of e-commerce, this study provides new ideas and guidance for the blockchain framework of e-learning and ICT in e-commerce.
VLSI technology has advanced significantly, and there arenumerous effective methods for creating VLSI circuits. PTL, GDI(Gate Diffusion Input) methods, and CMOS are a few of the styles.The weaknesses of CMOS and PTL approaches can be eliminatedby using the GDI technique to create low-power digitalcombinatorial circuits. This method maintains a low level of logicdesign complexity while lowering the amount of power consumed,propagation latency, and size of digital circuits. This paper discussesthe benefits and limitations of GDI compared to CMOS design bycomparing the various approaches with respect to layout area,transistor count, latency, and power dissipation.
The transformation of Tirupati's landscape over the past two decades reflects the dynamic interplay between urbanization, agricultural expansion, and environmental degradation. Through a comprehensive analysis of land use and land cover (LULC) changes using satellite imagery and spatial analysis techniques, this study offers insights into the evolving socio-environmental dynamics of the region. The findings reveal significant increases in built-up areas and corresponding declines in agricultural lands and natural ecosystems, driven by population growth and economic development. Despite efforts to mitigate environmental degradation, challenges such as soil erosion, deforestation, and water scarcity persist. However, there are promising initiatives aimed at enhancing water security and ecosystem resilience. In statistical terms, the analysis of land use and land cover changes in Tirupati reveals compelling trends over the study period. Utilizing Landsat satellite data and Maximum Likelihood Estimation (MLE) techniques, significant shifts in urbanization, agricultural activity, and environmental degradation were quantitatively assessed. The results demonstrate a remarkable expansion of built-up areas, accompanied by a concerning decline in agricultural lands and natural vegetation cover. Moreover, buffer ring and directionality analyses elucidate spatial patterns of change, highlighting the concentrated urban growth in specific directions and the widespread degradation of natural habitats. These statistical insights underscore the urgency of implementing sustainable development strategies and conservation measures to address the socio-environmental challenges facing Tirupati and foster long-term resilience. The study underscores the importance of sustainable development strategies and conservation efforts to address these challenges and ensure the long-term sustainability of Tirupati and its surrounding areas.
Despite the advancements that occurred in the field of technology, information security (i.e., IS) is still deemed important and critical topic. It is still especially deemed so during the transfer process. In this research, a new approach is proposed for hiding information through the use of iterated function systems (i.e., IFS) from Fractals. This approach employs the main feature of fractals that concentrate on the idea that hackers who seek to find the hidden data shall not be able of locating it. Therefore, there is a need to carry out a decoding process in the aim of revering the conversion for securing the transmitted information. In this research, the secure information is hidden inside a fractal Mandelbrot image using the Linear Congruent Generator (i.e., LCG). Regarding the proposed system, it generates the fractal image through the use of the predefined knowledge gained from the hider site that works as a host for different types of secret messages. The knowledge that comes from the key of image dimensions, parameters of Mandelbrot, LCG key, and key agreement of cryptography method, which makes Stego-image analyses of hidden data unacceptable without the correct knowledge. Based on the results that are obtained through carrying out experiments showed the proposed method meets all the requirements for steganography. Such requirements include: the ones related to capacity, visual appearance, undetectability, robustness against extraction (i.e., security), and hit the highest capacities with a visual appearance of high quality.
Gene editing, as an emerging biotechnology, has enormous potential for application but also brings various risks. Considering the current development status of gene editing technology, the criminal regulation of gene editing is based on the theory of risk criminal law. Ethical safety should be protected as a legal interest, and specific criminalization standards should be used to distinguish gene editing for therapeutic purposes, human embryo gene editing, and other types of gene editing behavior. In view of the many problems currently existing in gene editing legislation, at the legislative level, it is necessary to balance the expansion of legal provisions brought about by risk criminal law theory and the exoneration brought about by allowed risk theory, with administrative legal norms in place, and the criminal law should exercise restraint on emerging technologies; At the judicial level, by referring to the understanding of judicial interpretations of similar crimes, corrections can be made to the elements of criminal composition, serious circumstances, and deficiencies in unit crimes.
The digital era mobilises the world cities with various traits and symbolic resources to brand the images of the cities through propagation in Social Media (SM) platforms. This work examines Xian, the fastest developing city in China, which is in the process of building its brand through SM platforms. The model proposed in this work uses elaborative variables that are categorised into four indicators which characterises the behaviours of users in the SM. Each variable is weighted based on the entropy method as each one has a varied level of intensity in the model. The detailed results indicate that the size of the network is a significant factor in construction of brand communication through the SM platforms. Further, the study also includes the descriptive statistics and correlation analysis of individual explanatory variables with the model’s output value. The result of this analysis indicates that connections with friends and a number of followers as crucial factors in board communication of Xian city. This work can guide the local municipal authorities to advertise and influence SM users to create a positive brand of the city.
