According to the United Nations, global sustainability in terms of social, economic, and environmental issues must be achieved by 2030. SDGs 4 and 9 are related to education and strengthen the attainment of quality education and infrastructure innovation. Resilient infrastructure plays a significant role in strengthening the campus in terms of education, management, placement and environment. These all aspects come under the smart campus. Smart campus 4.0 is the amalgamation of multitude industry 4.0 enabling technologies for delivering smart and innovative facilities with the aspect of sustainability. The previous studies have proved that the sustainable development goals (SDGs) can be achieved with the amalgamation of industry 4.0 enabling technologies in the campus such as cloud computing, artificial intelligence (AI), Internet of things (IoT), edge/fog computing, blockchain, robot process automation (RPA), drones, augmented reality (AR), virtual reality (VR), big data, digital twin, and metaverse. The main objective of this study to provide the detailed discussion of all industry 4.0 enabling technologies in single research related to smart campus. The findings observed are IoT-Based Drone system is intended to ground patrolling, and a cloud server to develop a smart campus energy monitoring system. AI for campus placement prediction model; cloud and Edge computing architecture to build an intelligent air-quality monitoring system. The novelty of the study, it has discussed all industry 4.0 enabling technologies for a smart campus with challenges, recommendations, and future directions.

The given study focuses on the influence of artificial intelligence (AI) on adjudicatory procedures mostly on observance of such right to an impartial trial in several law-related fields with respect to existing decisions. The consideration of such substance of the right to an impartial trial serves as the beginning stage for the debate, with a special focus on the autonomy and impartiality of the judiciary. Following that, the article analyses the prospect of minimizing the individual role in court processes in charge of making decisions using information technologies. This paper analyses the admissibility of using AI tools in the judiciary and contains considerations on ethical aspects of AI application in judicial proceedings and whether an AI system can take over the role of a decision-maker in judicial proceedings, thereby replacing or supporting the judge. The paper with a view of its legal compliance, non-discrimination, transparency, and efficiency of legal proceedings. The study employs the method of analyzing the law in force and investigating theories of law, taking into account the critical analysis of the literature at the decision level.

With the developments of the Internet of Things (IoT), the number of connected devices has increased and hasbecome an integral part of our daily lives and environment. The data generated from these devices is huge, hence conventional cloud computing paradigm has become inadequate in addressing challenges such as excessive latency, bandwidth limitations, and resource limitations. As a result, new computational paradigms such as Fog Computing (FC) and Edge Computing (EC) have been proposed to address the former’s challenges in processing large amounts of data generated from safety-critical and time-sensitivesystems. The goal of these novel computing solutions is to deliver storage and computing power at the network’s edge, reducing network traffic and overcoming many of cloud computing’s disadvantages. This paper outlines the state-of-art fog and edgecomputing followed by a comprehensive analysis of their characteristics. A comparative analysis of these emerging technologies with Cloud Computing (CC) is also presented. Fog and edge computing are very important for emerging technologies like IoT, Big data analytics, we conclude this article by outlining the applications and security challenges of both computing paradigms.

In this study we discussed Challenges and Constraints of WSN and different types of attack in the Wireless Sensor Node (WSN) networks. WSN is an ad-hoc low-cost and low-power wireless network in which sensor nodes work together to track and collect data from their surroundings before broadcasting it to other nodes. WSN’s sensing and ubiquitous computational capabilities opened up a slew of new uses, expanding research opportunities. WSN has been used in a variety of settings, should include military, land, hygiene, and inventory management. Although energy is a significant factor for sensor nodes, a new form of attack has been identified that destroys the networks by draining the sensor network’s battery life. This kind of power draining attack is referred to as a “Vampire attack”, and it is not exclusive to any routing protocol. This study examines several strategies for detecting and mitigating this attack, which increases network energy usage, as well as principles for limiting the harm caused by vampires.