In this study, we quantify the reduction in standard deviation for empirical ground-motion prediction models by removing ergodic assumption. We par- tition modeling error (residual) into five components, three of which represent repeatable source-location-specific, site-specific, and path-specific deviations from population mean. A variance estimation procedure these components is developed use with a set recordings earthquakes not heavily clustered space. With most source locations...

Wireless sensor networks utilize large numbers of wireless nodes to collect information from their sensing terrain. are battery-powered devices. Energy saving is always crucial the lifetime a network. Recently, many algorithms proposed tackle energy problem in networks. In these algorithms, however, data collection efficiency usually compromised return for gaining longer network lifetime. There strong needs develop with optimization priorities biased aspects besides saving. this paper,...

This paper provides an overview of the current state-of-the-art digital twin and thread technology in industrial operations. Both are transformational technologies that have advantage improving efficiency design manufacturing. Digital is important element Industry 4.0 digitalization process; however, huge amount data generated collected by a offer challenges handling, processing storage. The aims to report on development new framework combines for better management order drive innovation,...

In the last decade, Australian SMEs are steadily becoming more digitally engaged, but they still face issues and barriers to fully adopt Industry 4.0 (I4.0). Among tools that I4.0 encompasses, digital twin (DT) thread (DTH) technologies hold significant interest value. Some of challenges lack expertise in developing communication framework required for data collection, processing, storing; concerns about cyber security; knowledge digitization visualisation data; value generation businesses...

Understanding the complexities of Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicle (AV) technologies is critical for road safety, especially concerning their adoption by drivers. Effective training a crucial element in ensuring safe competent operation these technologies. This study emphasises role methodologies shaping drivers’ mental models, defined as an individual’s cognitive frameworks understanding interacting with ADAS AV systems. Their models substantially influence...

A wireless sensor network comprises a number of inexpensive power constrained nodes which collect data from the sensing environment and transmit them toward remote base station in coordinated way. Employing techniques clustering can reduce energy consumption prolong lifetime. This paper proposes decentralized algorithm for networks based on structure social insect colonies. The is evaluated assuming first-order radio model. Simulation results show that proposed brings consistent improvement...

Motions of mobile robots need to be optimized minimize their energy consumption ensure long periods continuous operations. Shortest paths do not always guarantee the minimum robots. Moreover, they are feasible due climbing constraints robots, especially on steep terrains. We utilize a heuristic search algorithm find energy-optimal hilly terrains using an established energy-cost model for The represented grid-based elevation maps. Similar A*-like algorithms, traversing through given location...

A wireless sensor network (WSN) comprises a large number of nodes. Wireless nodes are battery-powered devices with limited processing and transmission power. Therefore, energy consumption is critical issue in system designs WSNs. In-network data fusion clustering have been shown to be effective techniques reducing However, can introduce bottlenecks network, which causes extra delays aggregation process. The problem will more severe when in-network does not yield any size reduction outgoing...

Data clustering is a frequently used technique in finance, computer science, and engineering. In most of the applications, cluster sizes are either constrained to particular values or available as prior knowledge. Unfortunately, traditional methods cannot impose constrains on sizes. this paper, we propose some vital modifications standard k-means algorithm such that it can incorporate size constraints for each separately. The modified be obtain clusters preferred A potential application...

After a blackout, it is essential to restore the blackout area rapidly minimize possible losses. In parallel restoration, first partitioned into several subsystems, which will then be restored in accelerate restoration process. order ensure reliability, each subsystem should have enough generation power and satisfy set of constraints before triggering This paper models this as constrained optimization problem proposes partitioning strategy solve three steps. step, some existing methods...

The tremendous advancement of Internet-of-Things (IoT) has proliferated the interaction between physical and cyber worlds. Consumer electronics, as first tier in world, would play a crucial role to enable ubiquitous information exchange. adoption IoT technologies will inevitably enhance maturity consumer products services, proliferating market electronics. Nonetheless, ever-growing number uncoordinated connections unregulated integrations pose various challenges threats, resulting...

It is always challenging for deaf and speech-impaired people to communicate with non-sign language users. A real-time sign recognition system using 3D motion sensors could lower the aforementioned communication barrier. However, most existing gesture systems are adopting a single sensor framework, whose performance susceptible occlusions. In this paper, we proposed multi-sensor American (ASL). Data collected from Leap Motion fused multiple data fusion (MSDF) performed hidden Markov models...

While bringing new opportunities, the Industry 4.0 movement also imposes challenges to manufacturing industry and all its stakeholders. In this competitive environment, a skilled engaged workforce is key success. Gamification can generate valuable feedbacks for improving employees' engagement performance. Currently, in workspaces focuses on computer-based assignments training, while tasks that require manual labor are rarely considered. This research provides an overview of Enterprise...

This paper provides an overview of the current state-of-the-art digital twin and thread technology in industrial operations. Both are transformational technologies that have advantage improving efficiency design manufacturing. Digital is important element Industry 4.0 digitalization process; however, huge amount data generated collected by offer challenges handling, processing storage. The aims to report on development a new framework combines for better management order drive innovation,...

Unmanned aerial vehicles (UAVs) are usually dispatched as mobile sinks to assist data collection in large-scale wireless sensor networks (WSNs). However, when considering the limitations of UAV's mobility and communication capabilities a WSN, some nodes may run out storage space they fail offload their UAV for an extended period time. To minimize loss caused by above issue, joint user scheduling trajectory planning strategy is proposed this letter, which formulated non-convex optimization...

Conventional heating ventilation and air-conditioning (HVAC) controllers have been designed to mainly control the temperature of a confined compartment, such as room or cabin vehicle. Other important parameters related thermal comfort indoor air quality (IAQ) compartment often ignored. In this project, IAQ in vehicle was represented by its carbon dioxide (CO2) concentration, occupants' levels were estimated with predicted mean vote (PMV) index. A new fuzzy logic controller (FLC) developed...

Path planning can be viewed as an optimization process in which optimum path between two points is to found under some predefined constraints. Some typical constraints are length, fuel consumption, and safety factor. Exact algorithms such linear programming (LP) dynamic (DP) widely adopted vehicle maneuvering systems. However, the problem domain scales up, exact suffer from high computational complexity. In contrast, metaheuristic evolutionary (EA) genetic (GA) provide suboptimum solutions...

Mobile sensor networks (MSNs) are often used for monitoring large areas of interest (AoI) in remote and hostile environments, which can be highly dynamic nature. Due to the infrastructure cost, MSNs usually consist a limited number nodes. In order cover AoI, mobile nodes have move an environment while area dynamically. that controlled by most previously proposed coverage algorithms either lack adaptability environments or display poor performances due considerable overlapping sensing...

Internet of Things (IoT) systems comprise massive volumes smart devices. Through exchanges information, objects are capable reasoning and generate higher level intelligence. The effectiveness data collection processes is a key factor to the success IoT as it can seriously affect freshness captured data. Efficient have been well studied on sensory with static topologies single extraction point. Smart devices in often shared by different parties; therefore, concurrent always expected. Such...