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This paper presents a convex optimization-based control method for sustainable communities with multiple buildings served by a central cooling plant and with on-site solar generation and batteries. A model predictive control (MPC) approach is used to optimally schedule the energy flows among the different energy sources, on-site battery and building end users to achieve the minimum operation cost...
An EMG (electromyogram)-angle neural network was built to estimate elbow movement in a lifting task from sEMG signals in this study. The movement conditions vary with 6 different weights and no load. Subsequently the predicted angle could be utilized as the control signal of a 2DOF powered exoskeleton. Sixteen-channel EMG raw data sets were acquired from two commercial wearable MYO gesture armbands...
It is important to have practical methods for constructing a good mathematical model for a building's thermal system for energy audits, retrofit analysis and advanced building controls, e.g. model predictive control. Identification approaches based on semi-physical model structures are popular in building science for those purposes. However conventional gray box identification approaches applied to...
This paper investigates a distributed model predictive control (DMPC) framework for building control applications. The proposed framework is general in that it can be easily customized to solve the dynamic optimization problem for a broad class of multi-zone buildings with relatively complex HVAC systems. The Proximal Jacobian alternating direction method of multipliers (ADMM), a recent variant of...
Facial expression recognition suffers under realworldconditions, especially on unseen subjects due to highinter-subject variations. To alleviate variations introduced bypersonal attributes and achieve better facial expression recognitionperformance, a novel identity-aware convolutional neuralnetwork (IACNN) is proposed. In particular, a CNN with a newarchitecture is employed as individual streams...
Various electrical parameters have been previously proposed for the condition monitoring (e.g., junction temperature, degradation level) of IGBT modules. However, It is a challenge that these parameters are both junction temperature and degradation level dependent, making it complicated to use them for either junction temperature estimation or degradation level assessment. This paper validates the...
The measurement of human miRNA functional similarity is an important research for studying miRNA-related therapeutic strategy. Pair wise-based approaches using disease-miRNA associations have recently become a popular tool for inferring miRNA functional similarity. However, the miRNA functional similarity is vitally influenced by calculation of the disease semantic similarity in those methods. Moreover,...
This paper presents a multi-agent control approach for optimal demand management of multi-zone buildings. A near-optimal heuristic is proposed for a typical chilled-water air-conditioning (AC) system that can be used to formulate a demand response (DR) problem under a convex form. Then a building multi-agent control framework is utilized to synthesize a multi-agent controller where an alternating...
Poorly designed excitation signals could lead to inaccurate or, even worse, highly correlated parameter estimates in a data-driven model, so it is critical to have an informative training data set in order to obtain an accurate model in a cost effective manner. This paper investigates a sequential optimal design of experiments (DOE) approach to generate an optimal training data set for varying zone...
In a network supporting mobile agents, a particular threat is that posed by the presence of a black virus (BV), a harmful entity capable of destroying any agent arriving at the site where it resides, and of then moving to all the neighbouring sites. A moving BV can only be destroyed if it arrives at a site where an anti-viral agent is located. The objective for a team of mobile anti-viral system agents,...
Aiming at the deficiencies of ant colony clustering algorithms in distance measure, convergence rate, similarity clustering, and other aspects, WALF algorithm is presented as an improvement to the LF algorithm. Using weighted hybrid distance as distance measure, and introducing the adaptive mechanism during the process of clustering, ant colonies can adjust the radius of neighborhoods dynamically...
In robot programming by demonstration (PBD) for assembly tasks, one of the important topics is to inference the poses and spatial relations of parts during the demonstration. In this paper, we propose a world model called assembly graph (AG) to achieve this task. The model is able to represent the poses of all parts, the relations, observations provided by vision techniques and prior knowledge in...
There have been very few advanced control algorithms developed for small commercial buildings due to practical difficulties such as the spatial comfort variations, significant disturbances, high sensor costs, and high cost of site-specific engineering solutions. High implementation cost has been a major impediment to successful market penetration. The focus of this work is to develop and demonstrate...
Buildings served by multiple rooftop units (RTUs) are widely prevalent in retail and food industries. Till date, most of such buildings utilize plain feedback or heuristic strategies to determine the RTU operations. We present a switched dynamic programming based approach for scheduling rooftop unit operations in an optimal manner. Using a mid-size restaurant served by multiple RTUs as an example,...
Coordinating different components in a complex air conditioning system is challenging for centralized controls due to the large number of optimization variables. In this scenario, de-centralized controls are more appropriate alternatives. This study proposes a multi-agent control methodology for the optimal control of centralized air conditioning systems that are typically adopted in multi-zone commercial...
Junk code increase manual analysis difficulty in reverse engineering, and seriously disturb the automatic analysis process of ant code obfuscating, so find a junk code removing method has a great significance in the field of reverse engineering. Based on this, aiming at the problem that the executable context-dependent junk code is difficult to remove automatically, this paper proposes a junk code...
The battery-based islanded DC micro-grid possesses low inertia at the moment when the system is disturbed due to the access of a large number of power electric converters. In this paper, to optimize the use of rotational kinetic energy concealed in DC micro-grid, a virtual inertia control strategy for DC micro-grid is proposed through associating DC bus voltage with the speed regulation of PMSG. Take...
Aiming at the multi peak phenomenon in the output power characteristic curve of photovoltaic (PV) array under partiallyshaded conditions, this paper addresses a new global maximum power point tracking (GMPPT) method based on sliding mode control (SMC). First, the output power characteristic curve of the PV array is scanned and the global maximum power point (GMPP) is stored at the same times. The...
Job satisfaction, an attitude studied in the organizational behavior, reveals a person's overall evaluation on his or her job. This research aims to find out the present situation of job satisfaction among the university faculties. Some important factors which lead to their dissatisfaction or tendency of demission and the age difference revealing from these issues will be included. The results reveal...
In this paper, we are using rate-distortion optimized embedded (RED) technology to extract relatively more important and less important bits of different electrocardiograph (ECG) signals, which are protected by different rates of low-density parity-check (LDPC) codes to realize unequal error protected (UEP) performance. The UEP performance will be reflected by comparing experiment results that under...
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