This research paper critically examines China’s role as the world’s largest emitter of carbon dioxide and its pivotal position in global climate change mitigation efforts. The analysis encompasses China’s environmental policies initiated since 1979, formally approved by the legislative body, the NPC, in 1989. Though significant economic developments were made since the country’s reform and opening in 1979, it is acknowledged that this progress has been accompanied by substantial environmental degradation. In response, the government amended environmental laws in 2014, reflecting a commitment to address these challenges. However, this paper contends that substantial efforts are still required to achieve meaningful environmental improvement. The research further delves into the anticipated impacts of Chinese policies on crucial aspects, namely Climate Change, Resource Management, and the well-being of Future Generations, providing comprehensive insights into the multifaceted implications of China’s environmental trajectory.
Spectrum sensing technology is a crucial aspect of modern communication technology, serving as one of the essential techniques for efficiently utilizing scarce information resources in tight frequency bands. This paper first introduces three common logical circuit decision criteria in hard decisions and analyzes their decision rigor. Building upon hard decisions, the paper further introduces a method for multi-user spectrum sensing based on soft decisions. Then the paper simulates the false alarm probability and detection probability curves corresponding to the three criteria. The simulated results of multi-user collaborative sensing indicate that the simulation process significantly reduces false alarm probability and enhances detection probability. This approach effectively detects spectrum resources unoccupied during idle periods, leveraging the concept of time-division multiplexing and rationalizing the redistribution of information resources. The entire computation process relies on the calculation principles of power spectral density in communication theory, involving threshold decision detection for noise power and the sum of noise and signal power. It provides a secondary decision detection, reflecting the perceptual decision performance of logical detection methods with relative accuracy.
The rapid emergence of quantum computing offers the potential to revolutionize numerous domains, promising computational advantages over classical counterparts. This study aimed to evaluate the performance, efficiency, and robustness of selected quantum algorithms—Quantum Variational Eigensolver (VQE), Quantum Fourier Transform (QFT), and Quantum Phase Estimation (QPE)—on near-term quantum devices. Our benchmarking revealed that, despite promising theoretical benefits, the practical deployment of these algorithms remains challenged by noise, error rates, and hardware limitations. The VQE showed promise in molecular modeling, while the utility of QFT and QPE in cryptography and optimization became evident. Nevertheless, their practical efficiency is contingent upon specific quantum hardware and employed error mitigation techniques. The findings underscore the transformative potential of quantum computing, but also emphasize the ongoing challenges that need addressing to make quantum computing practically advantageous.
The dawn of Autonomous Systems has marked a pivotal transformation in the realm of technology, establishing new paradigms in various industries, from healthcare to transportation. These systems, characterized by their ability to operate without human intervention, promise enhanced efficiency, precision, and adaptability in tasks otherwise prone to human error or constraints. However, as with all revolutionary innovations, they bring forth a plethora of challenges. This paper aims to provide a comprehensive exploration of Autonomous Systems, discussing their architectures, applications, and the intricacies of their operation. We delve into the pressing challenges, both ethical and technical, and speculate on the potential future trajectories of this transformative technology. By amalgamating insights from diverse disciplines, this paper offers a holistic perspective on Autonomous Systems, setting the stage for informed discourse and future research endeavors.
The rapid integration of DevOps and Continuous Integration/Continuous Deployment (CI/CD) has ushered in a transformative era in software development, streamlining processes and bolstering release efficiency. The amalgamation of development (Dev) and IT operations (Ops) into a cohesive DevOps model facilitates a more synergistic and responsive approach to the software lifecycle. Simultaneously, CI/CD automation accelerates the software release cadence, promising quicker feedback loops and more frequent feature releases. This paper delves into the underlying principles of DevOps and CI/CD, elucidating their collaborative benefits while also highlighting the associated challenges. Furthermore, the study assesses the impact of CI/CD on software quality, providing insights into best practices and potential future trends in the landscape of DevOps-driven software engineering.
The management of waste is a challenge of the current day. The current article intempts to propose solutions to a sustainable management of wastes in Cameroon. After a concise description of the context and a well definition of the scope. It comes out that efforts should be done to intensify awareness, the development of recycling units such as biogas or compost.
The Ministry of Domains, Cadastre and Land Affairs (MINDCAF) is the Cameroonian government ministry responsible for drawing up and implementing government policy on domains, cadastre and land. However, the land management policy in Cameroon, and more specifically in the ocean, which envisages emergence in 2035, suffers from numerous problems, such as the complexity of organising the storage and updating of data and access to reliable land information. The aim of the study is to set up a GIS to manage the land assets of the ocean, more specifically TALLA. The methodology consisted of using the cadastral map to choose the GIS technologies and define the architecture of our operation by reorganising the elements of our cadastral map and processing them in ArcGIS and QGIS software, all the while entering the information from the land register in the Attributor table, creating a database. Finally, the GIS has been developed in compliance with technical standards and established objectives. As a result, our GIS offers functionalities enabling the member of the land registry to better archive data, and facilitates the output of the property certificate. It also enables geographic data to be viewed and consulted on an interactive map, spatial and attribute navigation, and data editing. In the light of its results, the GIS implemented can be a promising solution for meeting the challenges associated with current management.