Computer Engineering Commons^™

Dual Resource Constrained Flexible Job Shop Energy-Saving Scheduling Considering Delivery Time, Hongliang Zhang, Jingru Xu, Bo Tan, Gongjie Xu

Journal of System Simulation

Abstract: To handle the flexible job shop energy-saving scheduling with machines and workers constraints, on the considering of delivery time, the optimization model of dual resource constrained flexible job shop energy-saving scheduling is established with the goal of minimizing the total earliness and tardiness penalties, and total energy consumption. An improved non-dominated sorting genetic algorithm II(INSGA-II) is proposed. Aiming at the optimized objectives, a three-stage decoding method is designed to gain more feasible solutions. The dynamic adaptive crossover and mutation operators are applied to get more excellent individuals. The crowding distance is improved to obtain a population with better …

Multi-Media Energy Planning Optimization Of Steel Based On Improved Moea/D, Hongcai Ouyang, Dinghui Wu, Junyan Fan, Jing Wang

Journal of System Simulation

Abstract: To address the problems of multi-media iron and steel energy planning model with more variables, complex constraints and high difficulty in model solving, an improved MOEA/D (decomposition-based multi-objective evolutionary algorithm) based on adaptive neighborhood is proposed to realize multi-media energy planning optimization. Considering the characteristics of TOU price and the buffer effect of gas holder, the objective function to minimize operation cost and total energy consumption is constructed. And the model constraints are designed such as energy supply and demand balance. The decoding method based on energy production and consumption rules is designed to determine the target value. The …

Energy-Efficient Scheduling Of Multi-Objective Flexible Job Shop Considering Interval Processing Time, Hongliang Zhang, Renman Ding, Gongjie Xu

Journal of System Simulation

Abstract: Based on the comprehensive consideration of economic indicators and environmental factors, the energy-efficient scheduling problem of multi-objective flexible job shop with uncertain processing time is studied. The interval number is used to describe uncertain processing time of the workpiece, and the optimization model for energy-efficient problem of interval flexible job shop scheduling is established to minimize the maximum interval completion time and total energy consumption. According to the domination relation of interval possibility degree, an effective interval multi-objective evolutionary algorithm is designed. The simulation experiments of the interval multi-objective evolutionary algorithm, SPEA-II and NSGA-II are carried out through 15 …

Multi-Uavs 3d Path Planning Method Based On Random Strategy Search, Sen Zhang, Mengyan Zhang, Jingping Shao, Jiexin Pu

Journal of System Simulation

Abstract: In view of the difficulty of the traditional path planning method without energy consumption constraints to meet the emergency rescue requirements in the complex mountain operation environment, a three-dimensional path planning algorithm for multi-UAVs is proposed based on LSTM-DPPO(long short-term memory-distributed proximal policy optimization) framework. The LSTM long and short-term memory neural network is used to extract the important characteristic state information sequence of the multiple unmanned aerial vehicles in their respective flight process. After repeated iteration and updating, an optimal network parameter model is obtained. Combined with the energy consumption, the optimal 3D detection path is generated. …

Idea Of Infinitesimal Method-Introduced Hybrid Tt&C Resources Joint Scheduling, Naiyang Xue, Dan Ding, Hongmin Wang, Yile Fan, Zhongqian Liu

Journal of System Simulation

Abstract: Aiming at the study on the motion performance of a two-dimensional variable stiffness snake-robot, a Simulink/Adams co-simulation model is established, and the effects of the damping coefficient, the stiffness parameters and the angular frequency of the variable stiffness actuator on the motion energy consumption are analyzed. To realize the synchronous control of joint trajectory and stiffness, a motion controller based on two-layer CPG is proposed. The results show that the damping coefficient can effectively reduce the proportion of starting energy consumption of the variable stiffness snake-like robot, and the ratio of starting energy consumption increases with the stiffness parameter …

Simulation Of Robust Optimal Synchronization Control For Direct Drive H-Type Motion Platform, Limei Wang, Hongyan Yao, Kang Zhang

Journal of System Simulation

Abstract: Cell manufacturing is an important organizational form of modern production systems. In scheduling of cell manufacturing systems, machine failures or interruptions are very common in practice, meanwhile the waste due to energy consumption during machine idle time cannot be ignored. Hence the relevant research is with strong significance. This paper considers the problems of machine interruption and energy consumption in cell scheduling, and developed an integer programming model to minimize the makespan as well as the cost of energy consumption during machine idling and the interruption cost. A mixed optimization method is proposed based on improved wolf pack algorithm …

Intelligent Control Of Wastewater Treatment Processes Based On Adaptive Immune Optimization, Li Fei, Su Zhong

Journal of System Simulation

Abstract: In order to solve the problems of excessive energy consumption and excessive effluent quality in wastewater treatment process control, an intelligent control system based on adaptive immune optimization (AIOIC) is proposed. A hierarchical control strategy is designed, and a fast online self-organizing fuzzy neural network based on singular value decomposition (SVDFNN) is used to construct the mathematical model of wastewater treatment energy consumption and effluent quality. In order to obtain the optimal set values of dissolved oxygen and nitrate nitrogen, an adaptive hybrid evolutionary immune optimization algorithm is designed. The self-organizing recursive fuzzy neural network controller is used …

A Novel Energy Consumption Model For Autonomous Mobile Robot, Gürkan Gürgöze, İbrahi̇m Türkoğlu

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a novel predictive energy consumption model has been developed to facilitate the development of tasks based on efficient energy consumption strategies in mobile robot systems. For the proposed energy consumption model, an advanced mathematical system model that takes into account all parameters during the motion of the mobile robot is created. The parameters of inclination, load, dynamic friction, wheel slip and speed-torque saturation limit, which are often neglected in existing models, are especially used in our model. Thus, the effects of unexpected disruptors on energy consumption in the real world environment are also taken into account. As …

Quantifying The Impact Of Uncertainty In Embedded Systems Mapping For Noc Based Architectures, Wenkai Guan, Milad Ghorbani Moghaddam, Cristinel Ababei

Electrical and Computer Engineering Faculty Research and Publications

We describe a modeling framework to capture and account for uncertainty in design parameters in embedded systems. We then develop an uncertainty-aware solution to the problem of mapping in embedded systems that uses Network-on-Chip (NoC) based architecture platforms. The problem of mapping is formulated as a multi-objective - reliability, performance, and energy consumption - optimization problem. To solve this problem, we propose a solution based on the NSGA-II genetic algorithm and Monte Carlo simulation techniques. The solution is implemented as a computer-aid design tool that can generate robust 3D Pareto frontiers in the solution space formed by the design objectives …

Energy-Efficient Virtual Infrastructure Based Geo-Nested Routing Protocol Forwireless Sensor Networks, Baranidharan Varadharajan, Sivaradje Gopalakrishnan, Kiruthiga Varadharajan, Karthikeyan Mani, Sathishkumar Kutralingam

Turkish Journal of Electrical Engineering and Computer Sciences

The wireless sensor networks (WSN) are comprised of hundreds to thousands of compact and battery-operated sensor nodes. The deployed sensor nodes are widely used to sense the physical changes in the environment,which collect, aggregate, and transmit the information as data packets or static sink or monitoring station. Thedata transmission is very challenging under some extreme environments and applications. The efficient way of datatransmission is achieved by designing an energy-efficient routing protocol. The position of the sink nodes is broadcasted periodically to all other sensor nodes to forward the sensed data to the monitoring system or sink. The frequentbroadcasting of the …

Clustered Mobile Data Collection In Wsns: An Energy-Delay Trade-Of, İzzet Fati̇h Şentürk

Turkish Journal of Electrical Engineering and Computer Sciences

Wireless sensor networks enable monitoring remote areas with limited human intervention. However, the network connectivity between sensor nodes and the base station (BS) may not be always possible due to the limited transmission range of the nodes. In such a case, one or more mobile data collectors (MDCs) can be employed to visit nodes for data collection. If multiple MDCs are available, it is desirable to minimize the energy cost of mobility while distributing the cost among the MDCs in a fair manner. Despite availability of various clustering algorithms, there is no single fits all clustering solution when different requirements …

Effects Of Covid-19 On Electric Energy Consumption In Turkey And Ann-Basedshort-Term Forecasting, Harun Özbay, Adem Dalcali

Turkish Journal of Electrical Engineering and Computer Sciences

: Due to the coronavirus, millions of people worldwide carry out their work, education, shopping, culture, and entertainment activities from their homes now using the advantages of today's technology. Apart from this, patient care and follow-up are carried out with the help of electronic equipment especially in the institutions where health services are provided. It is important to provide a reliable electricity supply for humanity so that people can perform all these services. In this study, the outlook of energy in Turkey was examined. The current energy consumption and investments were examined. Then, the precautions by the government in the …

A New Model For Minimizing The Electric Vehicle Battery Capacity In Electrictravelling Salesman Problem With Time Windows, Kazim Erdoğdu, Korhan Karabulut

Turkish Journal of Electrical Engineering and Computer Sciences

The growing pollution in the environment and the negative shift in the global climate compel authorities to take action to protect the environment and human health. Transportation is one of the major contributors to this environmental decay. The harmful gases released to the air by the vehicles using petroleum fuel increase each day. One of the solutions is to make a gradual transition to electric vehicles. A major part of manufacturing an electric vehicle is to produce an efficient electric motor and battery for it. Reducing the manufacturing and operating costs of these components will result in reducing the overall …

Study On Performance Of Pure Electric Vehicles Nder Single Energy Source And Dual-Energy Source Based On Bench Test, Shaojian Song, Qingfang Lin, Xiaofeng Lin

Journal of System Simulation

Abstract: With most of the study on performance of the pure electrical vehicles under single energy source and dual-energy source based on virtual vehicle simulation software, such as ADVISOR, PSAT, the mechanical properties of the real vehicle system, the physical properties of the battery pack, the conversion efficiency of the bi-directional DC/DC converter and the response time of the energy management system were ignored, which could not reflect the real vehicle systems accurately. Taking the pure electric vehicle test system as the research object, in which the LiFePO₄ battery pack was the main energy source and the ultra-capacitor was …

Method To Calculate Multi-Objective And H2/H∞ Control Of Vehicle Vertical Vibration System, Jianjun Meng, Bai Huan, Mou Jian, Yin Ming, Xuri Guan

Journal of System Simulation

Abstract: Aiming at the disadvantage of single object in railway vehicle damping system,the multi-objective optimal control law of railway vehicle damping system was devised to balance shock absorption control and energy saving control. To improve the riding comfortability and reduce the energy consumption, the multi-objective H₂/H_∞ output-feedback controller based on LMI was developed for an active suspension of 6-DOF vertical vibration model of railway vehicle. Norm H₂ of the actuator output was taken as the energy consumption indexes, and norm H_∞ of the vertical vibration displacement, the acceleration and the nutation angle was taken as …

Energy Consumption Analysis Of Discrete Manufacturing Based On Improved Principal Component Analysis Method, Chen Yan, Wang Yan

Journal of System Simulation

Abstract: Due to the complexity of energy consumption of the discrete manufacturing system and the interaction between energy consumption indexes, the result of energy consumption analysis is hard to obtain, establishing energy efficiency evaluation index of discrete system, based on the three levels of energy consumption of products, equipment energy efficiency, the energy efficiency of task process. Furthermore, a method was proposed to analyze the discrete manufacturing process energy consumption based on improved principal component analysis method. The method introduced importance weights, overcame the shortcoming of traditional component analysis, which only emphasized the information weights, combined the subjective and …

Study Of Model And Simulation On Ceramic Tile Polishing Energy Consumption, Haidong Yang, Chengdun Guo, Li Hong, Guosheng Liu, Jiawen Wu

Journal of System Simulation

Abstract: Currently, there are many defects in the production line of ceramic polishing, such as over polishing and high energy consumption, so it is an urgent mission to optimize the technical processes in order to cut down the energy consumption. Material removal equations and energy usage model were established based on the kinematic mechanism process and Preston equation. Simulation experiments were done by the above equations and model, so as to depict the evolution in both quality and power consumption. The impact of transmission speed of belt, lateral swing speed, disc rotation speed and other kinematic parameters on over polishing …

Improved Shuffled Frog-Leaping Algorithm For Solving Flexible Job Shop Scheduling Problem, Xiaoxing Zhang, Wang Yan, Dahu Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the characteristics of flexible job shop scheduling problem, a multi-objective scheduling model with maximum completion time and minimum energy consumption was proposed. An improved shuffled frog leaping algorithm was developed. By designing the local updating strategy based on crossover operation of maximum preserved crossover (MPX) and shifting operation of single parent gene algorithm (PGA), it avoided the illegal solution and trimming of the algorithm. Additionally, it accelerated optimization rate of the algorithm. And the optimal solution of the group was optimized by the simplified neighborhood optimization strategy to prevent the algorithm from falling into the local optimum. …

Proactive Content Caching In Future Generation Communication Networks: Energy And Security Considerations, Muhammad Ishtiaque Aziz Zahed

Theses: Doctorates and Masters

The proliferation of hand-held devices and Internet of Things (IoT) applications has heightened demand for popular content download. A high volume of content streaming/downloading services during peak hours can cause network congestion. Proactive content caching has emerged as a prospective solution to tackle this congestion problem. In proactive content caching, data storage units are used to store popular content in helper nodes at the network edge. This contributes to a reduction of peak traffic load and network congestion.

However, data storage units require additional energy, which offers a challenge to researchers that intend to reduce energy consumption up to 90% …

Simulation Research On Operation Effect Of Vav Air-Conditioning System With Variable Water Temperature Strategy, Qinglong Meng, Zhibo Zhang, Xiong Cheng

Journal of System Simulation

Abstract: Aiming at the problem of coordinated operation between VAV (variable air volume) and variable water temperature in central air conditioning system, a TRNSYS dynamic simulation model of air conditioning system with adjustable air supply and water supply temperature is established, and the accuracy of the model is proved by experiments. By controlling the terminal air volume to simulate the effect of variable water temperature operation on the air conditioning system under different load rates, the optimal water supply temperature of the air conditioning system under different load rates is obtained, and the variable water temperature operation strategy of the …

Modelling Of Evs Energy Consumption From Perspective Of Field Test Data And Driving Style Questionnaires, Kezhen Hu, Jianping Wu, Mingyu Liu

Journal of System Simulation

Abstract: With the electric vehicles (EVs) gaining popularity in megacities, the energy consumption of EVs has subsequently caught researchers’ attention. The exploration of energy consumption of EVs has largely focused on people’s revealed driving behavior and rarely touched on their self-perception of driving styles. Aiming to investigate how the energy efficiency of EVs is shaped by the driving behavior and driving style in the urban scenario from field test data and driving style questionnaires (DSQs), a human-centric approach is adopted. The results of a correlation analysis demonstrate the dynamic interaction between drivers’ revealed behavior and stated driving style under different …

Uncertainty Aware Mapping Of Embedded Systems For Reliability, Performance, And Energy, Wenkai Guan

Master's Theses (2009 -)

Due to technology downscaling, embedded systems have increased in complexity and heterogeneity. The increasingly large process, voltage, and temperature variations negatively affect the design and optimization process of these systems. These factors contribute to increased uncertainties that in turn undermine the accuracy and effectiveness of traditional design approaches. In this thesis, we formulate the problem of uncertainty aware mapping for multicore embedded system platforms as a multi-objective optimization problem. We present a solution to this problem that integrates uncertainty models as a new design methodology constructed with Monte Carlo and evolutionary algorithms. The solution is uncertainty aware because it is …

Investigation Of Lstm Based Prediction For Dynamic Energy Management In Chip Multiprocessors, Milad Ghorbani Moghaddam, Wenkai Guan, Cristinel Ababei

Electrical and Computer Engineering Faculty Research and Publications

In this paper, we investigate the effectiveness of using long short-term memory (LSTM) instead of Kalman filtering to do prediction for the purpose of constructing dynamic energy management (DEM) algorithms in chip multi-processors (CMPs). Either of the two prediction methods is employed to estimate the workload in the next control period for each of the processor cores. These estimates are then used to select voltage-frequency (VF) pairs for each core of the CMP during the next control period as part of a dynamic voltage and frequency scaling (DVFS) technique. The objective of the DVFS technique is to reduce energy consumption …

Load Balancing With Energy Storage Systems Based On Co-Simulation Of Multiple Smart Buildings And Distribution Networks, Shaun Duerr, Cristinel Ababei, Dan M. Ionel

Electrical and Computer Engineering Faculty Research and Publications

In this paper, we present a co-simulation framework that combines two main simulation tools, one that provides detailed multiple building energy simulation ability with Energy-Plus being the core engine, and the other one that is a distribution level simulator, Matpower. Such a framework can be used to develop and study district level optimization techniques that exploit the interaction between a smart electric grid and buildings as well as the interaction between buildings themselves to achieve energy and cost savings and better energy management beyond what one can achieve through techniques applied at the building level only. We propose a heuristic …

An Efficient Hybrid Data Gathering Algorithm Based On Multihop And Mobile Elements In Wsns, Mukhtar Ghaleb, Shamala Subramaniam, Mohamed Othman, Zuriati Zukarnain

Turkish Journal of Electrical Engineering and Computer Sciences

Data gathering is a focal task in wireless sensor networks (WSNs) that expends most of the sensor nodes' energy. Two factors that are considered essential in data gathering are latency and power consumption. The multihop data gathering approach proves that latency is minimized due to the speed of forwarding data to the base station. However, this may lead to increased power consumption and increased possibility of an emerging hotspot area. In contrast, data gathering based on a mobile element (ME) proves that power consumption is minimized due to avoiding relay data in extreme schemes. However, this may increase the latency …

Ac Power Monitoring System Provides Individual Circuit Energy Consumption Data, Jared L. Newman, Grayson H. Dearing, Luke M. Tomlinson, Frederick G. Harmon

The Research and Scholarship Symposium (2013-2019)

Motivated by high energy costs, people and organizations want to cut back on their energy consumption. However, the only feedback consumers typically receive is a monthly bill listing their total electricity usage (in kWh). Some companies have begun developing systems that allow households and organizations to monitor their energy usage for individual circuits. Available systems are expensive so a CU engineering senior design team has designed, fabricated, and tested a system for use at Cedarville University. The AC power monitoring system has the ability to measure energy consumption for each individual circuit in the breaker panel, store the data, and …

Energy-Efficient Mobile Cluster-Head Data Collection Model For Wireless Sensor Networks, Nidhi Gautam, Sanjeev Sofat, Renu Vig

Turkish Journal of Electrical Engineering and Computer Sciences

Wireless sensor networks have grown from homogeneous network architecture to heterogeneous networks for the improvement of network efficiency and lifetime. This paper exhibits a mobile cluster-head data collection (MCHDC) model for heterogeneous wireless networks. The MCHDC model illustrates the mobility pattern of mobile cluster-head nodes in a controlled environment with uniform and nonuniform deployment of mobile elements in the area of observation. It focuses on the threshold velocity for movement of mobile elements in the network area. In this paper the effects of data sending rate, network area, sensor node density, and cluster-head node density on energy efficiency of the …

Energy-Aware Stochastic Scheduling Model With Precedence Constraints On Dvfs-Enabled Processors, Mohammad Sajid, Zahid Raza

Turkish Journal of Electrical Engineering and Computer Sciences

The stochastic scheduling of precedence-constrained jobs on a heterogeneous processor is a challenging problem that requires solutions with one or more optimized QoS parameters. In this work, an energy-aware stochastic algorithm is proposed to schedule the batch of precedence-constrained jobs on heterogeneous DVFS-enabled processors with the objective of optimizing turnaround time and energy consumption. The processing time of tasks in all jobs and their precedence-constraint times are governed by independent probability distributions. The performance of the proposed stochastic algorithm is compared with SHEFT and ECS based on randomly generated batches of different sizes. The experimental study reveals that the proposed …

Extraction Of Pictorial Energy Information From Campus Unmetered Buildings Using Image Processing Techniques, Yachen Tang

Dissertations, Master's Theses and Master's Reports - Open

In recent years, advanced metering infrastructure (AMI) has been the main research focus due to the traditional power grid has been restricted to meet development requirements. There has been an ongoing effort to increase the number of AMI devices that provide real-time data readings to improve system observability. Deployed AMI across distribution secondary networks provides load and consumption information for individual households which can improve grid management. Significant upgrade costs associated with retrofitting existing meters with network-capable sensing can be made more economical by using image processing methods to extract usage information from images of the existing meters. This thesis …

Minimizing The Retransmission Delay And Energy Expense Of Arq With The Optimal Placement Of Caching Routers In A Video Communication Network, Jesus Enrique Hernandez

Open Access Theses & Dissertations

The use of intermediary caching routers to service retransmission requests was investigated in this thesis. The main goal is to reduce the expected retransmission delay in a video communication network where the capacity for intermediate caching routers is constrained. In order to reduce the retransmission delay, the effect of the placement of routers with caching ability is investigated. Moreover, as a consequence of reducing the retransmission distance, the energy spent on retransmitting video packets is reduced as well. The average retransmission delay and the average energy consumption were modeled with mathematical programs that select the optimal placement of caching routers …