Sigma delta radio over fiber (S?-RoF) system for 5G cloud/centralized radio access network (C-RAN) has a potential due to the advantages it offers in terms of cost and efficiency. It is observed that the presence of 1...
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electromechanical models are crucial in the design and control of motors and actuators. Modeling, identification, drive, and current control loop of a limited-rotation actuator with magnetic restoration is presented. ...
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We study a class of prediction problems in which relatively few observations have associated responses, but all observations include both standard covariates as well as additional "helper" covariates. While ...
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In modern times, people’s fast-paced lifestyles make it challenging to keep track of essential recurring bills such as electricity, water, and gas. This paper proposes a unified smart metering system utilizing the In...
In modern times, people’s fast-paced lifestyles make it challenging to keep track of essential recurring bills such as electricity, water, and gas. This paper proposes a unified smart metering system utilizing the Internet of Things (IoT) technology to address this need. This system comprises two interconnected sub-systems that manage resource consumption. The first subsystem is a unified metering sub-system, while the second is a cloud-controlled sub-system that stores and analyzes data. Both sub-systems communicate wirelessly, and the server is automatically updated as resources are consumed. The design employs an intelligent interaction approach that leverages information and communication technologies to improve user experiences, task performance, and quality of life. The expected outcome is the development of a mobile application that integrates a billing portal for payment processing. The implementation of this solution is expected to enhance resource utilization, promote sustainability practices, and revolutionize the user experience of interacting with utility services.
The effective utilization of unlicensed spectrum is regarded as an important direction to enable the massive access and broad coverage for next-generation wireless local area network (WLAN). Due to the crowded spectru...
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The effective utilization of unlicensed spectrum is regarded as an important direction to enable the massive access and broad coverage for next-generation wireless local area network (WLAN). Due to the crowded spectrum occupancy and dense user terminals (UTs), the conventional fixed antenna (FA)-based access points (APs) face huge challenges in realizing massive access and interference cancellation. To address this issue, in this paper we develop a six-dimensional movable antenna (6DMA) enhanced multi-AP coordination system for coverage enhancement and interference mitigation. First, we model the wireless channels between the APs and UTs to characterize their variation with respect to 6DMA movement, in terms of both the three-dimensional (3D) position and 3D orientation of each distributed AP’s antenna. Then, an optimization problem is formulated to maximize the weighted sum rate of multiple UTs for their uplink transmissions by jointly optimizing the antenna position vector (APV), the antenna orientation matrix (AOM), and the receive combining matrix over all coordinated APs, subject to the constraints on local antenna movement regions. To solve this challenging non-convex optimization problem, we first transform it into a more tractable Lagrangian dual problem. Then, an alternating optimization (AO)-based algorithm is developed by iteratively optimizing the APV and AOM, which are designed by applying the successive convex approximation (SCA) technique and Riemannian manifold optimization-based algorithm, respectively. Moreover, to further reduce the overhead of antenna movement, we propose an offline solution for APV and AOM design based on statistical channel state information (CSI). In addition, we further extend the proposed scheme from uni-polarized to dual-polarized modes for all antennas. Simulation results show that the proposed 6DMA-enhanced multi-AP coordination system can significantly enhance network capacity, and both of the online and offline 6DMA sch
With the advent of WBG device like GaN and SiC, frequency has been pushed to very high in order to achieve the higher power density. Consequently, switching loss becomes a large part of device loss in high-frequency a...
With the advent of WBG device like GaN and SiC, frequency has been pushed to very high in order to achieve the higher power density. Consequently, switching loss becomes a large part of device loss in high-frequency applications. Traditional double pulse test method is not suitable for measuring the switching loss of GaN or SiC device with very high turn-off speed. In this paper, a converter-based switching loss measurement method is proposed and demonstrated. By analyzing the total loss breakdown and measuring each component precisely, the switching loss can be calculated accurately. Using this method, the switching loss of the 600V GaN device is evaluated in soft switching up to MHz.
This paper describes hydropower development in Indonesia, taking account of the country's proportion of the world energy consumption and its related contribution to environmental protection. The concern is based o...
This paper describes hydropower development in Indonesia, taking account of the country's proportion of the world energy consumption and its related contribution to environmental protection. The concern is based on the country's geopolitical position and socio-economical role in the future, considering the current energy structure and potential, the portion of renewable energy in the energy mix, and the hydropower role in the renewable energy development. The assessment is focused on the country's commitment to reduce the greenhouse gas emissions, its participation in achieving sustainable development goals, and especially in achieving the country's vision of becoming Golden Indonesia 2045. It is concluded that when all efforts are done to achieve the Indonesia full-renewable energy grid in the future, the hydropower development can be maximally developed using the pumpstorage hydropower system.
The performance of a lifelong learning (L3) model degrades when it is trained on a series of tasks, as the geometrical formation of the embedding space changes while learning novel concepts sequentially. The majority ...
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Wireless sensor nodes (WSNs) are useful to monitor animals remotely and continuously. The proposed WSN aims to monitor pig activities, and it consists of a 3-axis accelerometer, a 3-axis gyroscope, and a microcontroll...
Wireless sensor nodes (WSNs) are useful to monitor animals remotely and continuously. The proposed WSN aims to monitor pig activities, and it consists of a 3-axis accelerometer, a 3-axis gyroscope, and a microcontroller with embedded BLE (Bluetooth Low Energy) radio. The WSN was designed and prototyped with a custom PCB and used to collect data from pigs in field for about 131 hours, and the collected data was processed to classify pig behaviors with machine learning models. The sampling rate of the sensors is 10 samples per second. The proposed WSN dissipates 6.29 mW, on average, and the peak power dissipation is 41.01 mW during transmission of the sensed data. The WSN is estimated to operate for about three weeks with a coin cell battery CR2477.
In collaborative tasks where humans work alongside machines, the robot's movements and behaviour can have a significant impact on the operator's safety, health, and comfort. To address this issue, we present a...
In collaborative tasks where humans work alongside machines, the robot's movements and behaviour can have a significant impact on the operator's safety, health, and comfort. To address this issue, we present a multi-stereo camera system that continuously monitors the operator's posture while they work with the robot. This system uses a novel distributed fusion approach to assess the operator's posture in real-time and to help avoid uncomfortable or unsafe positions. The system adjusts the robot's movements and informs the operator of any incorrect or potentially harmful postures, reducing the risk of accidents, strain, and musculoskeletal disorders. The analysis is personalized, taking into account the unique anthropometric characteristics of each operator, to ensure optimal ergonomics. The results of our experiments show that the proposed approach leads to improved human body postures and offers a promising solution for enhancing the ergonomics of operators in collaborative tasks.
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