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Current Advances In Internet Of Underground Things, Abdul Salam, Usman Raza 2020 Purdue University

Current Advances In Internet Of Underground Things, Abdul Salam, Usman Raza

Computer Information Technology Faculty Publications

The latest developments in Internet of Underground Things are covered in this chapter. First, the IOUT Architecture is discussed followed by the explanation of the challenges being faced in this paradigm. Moreover, a comprehensive coverage of the different IOUT components is presented that includes communications, sensing, and system integration with the cloud. An in-depth coverage of the applications of the IOUT in various disciplines is also surveyed. These applications include areas such as decision agriculture, pipeline monitoring, border control, and oil wells.


Signals In The Soil: Subsurface Sensing, Abdul Salam, Usman Raza 2020 Purdue University

Signals In The Soil: Subsurface Sensing, Abdul Salam, Usman Raza

Computer Information Technology Faculty Publications

In this chapter, novel subsurface soil sensing approaches are presented for monitoring and real-time decision support system applications. The methods, materials, and operational feasibility aspects of soil sensors are explored. The soil sensing techniques covered in this chapter include aerial sensing, in-situ, proximal sensing, and remote sensing. The underlying mechanism used for sensing is also examined as well. The sensor selection and calibration techniques are described in detail. The chapter concludes with discussion of soil sensing challenges.


Soil Moisture And Permittivity Estimation, Abdul Salam, Usman Raza 2020 Purdue University

Soil Moisture And Permittivity Estimation, Abdul Salam, Usman Raza

Computer Information Technology Faculty Publications

The soil moisture and permittivity estimation is vital for the success of the variable rate approaches in the field of the decision agriculture. In this chapter, the development of a novel permittivity estimation and soil moisture sensing approach is presented. The empirical setup and experimental methodology for the power delay measurements used in model are introduced. Moreover, the performance analysis is explained that includes the model validation and error analysis. The transfer functions are reported as well for soil moisture and permittivity estimation. Furthermore, the potential applications of the developed approach in different disciplines are also examined.


Autonomous Irrigation Management In Decision Agriculture, Abdul Salam, Usman Raza 2020 Purdue University

Autonomous Irrigation Management In Decision Agriculture, Abdul Salam, Usman Raza

Computer Information Technology Faculty Publications

In this chapter, the important application of autonomous irrigation management in the field decision agriculture is discussed. The different types of sensor-guided irrigation systems are presented that includes center pivot systems and drip irrigation systems. Their sensing and actuator components are with detailed focus on real-time decision-making and integration to the cloud. This chapter also presents irrigation control systems which takes, as an input, soil moisture and temperature from IOUT and weather data from Internet and communicate with center pivot based irrigation systems. Moreover, the system architecture is explored where development of the nodes including sensing and actuators is presented. …


Decision Agriculture, Abdul Salam, Usman Raza 2020 Purdue University

Decision Agriculture, Abdul Salam, Usman Raza

Computer Information Technology Faculty Publications

In this chapter, the latest developments in the field of decision agriculture are discussed. The practice of management zones in digital agriculture is described for efficient and smart faming. Accordingly, the methodology for delineating management zones is presented. Modeling of decision support systems is explained along with discussion of the issues and challenges in this area. Moreover, the precision agriculture technology is also considered. Moreover, the chapter surveys the state of the decision agriculture technologies in the countries such as Bulgaria, Denmark, France, Israel, Malaysia, Pakistan, United Kingdom, Ukraine, and Sweden. Finally, different field factors such as GPS accuracy and …


Variable Rate Applications In Decision Agriculture, Abdul Salam, Usman Raza 2020 Purdue University

Variable Rate Applications In Decision Agriculture, Abdul Salam, Usman Raza

Computer Information Technology Faculty Publications

In this chapter, the variable rate applications (VRA) are presented for the field of decision agriculture. The characteristics of VRA control systems are described along with control hardware. Different types of VRA systems are discussed (e.g., liquid VRA systems and dry VRA systems). A case study is also explored in this regard. Moreover, recent advances and future trends are also outlined. Accordingly, a sustainable variable-rate irrigation scheduling is studied where different hardware and software component of the cyber-physical system are considered. Finally, chapter is concluded with a novel sensor deployment methodology.


Signals In The Soil: Underground Antennas, Abdul Salam, Usman Raza 2020 Purdue University

Signals In The Soil: Underground Antennas, Abdul Salam, Usman Raza

Computer Information Technology Faculty Publications

Antenna is a major design component of Internet of Underground Things (IOUT) communication system. The use of antenna, in IOUT, differs from traditional communication in that it is buried in the soil. Therefore, one of the main challenges, in IOUT applications, is to establish a reliable communication. To that end, there is a need of designing an underground-specific antenna. Three major factors that can impact the performance of a buried antenna are: (1) effect of high soil permittivity changes the wavelength of EM waves, (2) variations in soil moisture with time affecting the permittivity of the soil, and (3) difference …


Trusted Modeling And Analysis Of Complex Software Systems Based On Spatial-Temporal Petri Nets, Li Gang, Longmei Han, Yongli Zhu 2020 1. School of Control and Computer Engineering, North China Electric Power University, Baoding 071003, China;;2. State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources (NCEPU), Beijing 102206, China;

Trusted Modeling And Analysis Of Complex Software Systems Based On Spatial-Temporal Petri Nets, Li Gang, Longmei Han, Yongli Zhu

Journal of System Simulation

Abstract: Complexity of complex software system is not only due to the coupling correlation software itself, but also the Internet environment has great influence on the complex software system, and it has not existed independently from the external environment. Petri net uses of place and transition meet the modeling of distributed system, support concurrency and asynchronous, but the basic Petri net can't completely describe the characteristic of complex software systems with time constraints. A Petri net modeling method based on spatial and temporal was proposed. From aspects of synergetic and software behavior, constraints on the characteristics of spatial and temporal, …


Calculation Of Transformer Core Loss Based On Finite Element Coupling Algorithm, Yongqiang Wang, Zhihong Zheng, Baolong Ouyang, Jianfang Li 2020 Hebei Provincial Key Laboratory of Power Transmission Equipment Security Defense, North China Electric Power University, Baoding 071000, China;

Calculation Of Transformer Core Loss Based On Finite Element Coupling Algorithm, Yongqiang Wang, Zhihong Zheng, Baolong Ouyang, Jianfang Li

Journal of System Simulation

Abstract: In order to accurately calculate the deducting transformer core loss, on the basis of analysis on traditional finite element method and Steinmetz method, an edge-nodal coupled $E-\psi$ method was proposed to calculate the High Power High Frequency High Voltage transformer core loss. Taking a 20 kHz, 50 kV, 60 kW transformer for example, the 3D model was established to calculate the transformer core loss. By comparing the measured data of transformer core loss with the figures calculated by edge-nodal coupled $E-\psi$ method, NFEM, EFEM and Steinmetz method, the comparison results show that: the edge-nodal coupled $E-\psi$ method has higher …


Improved Genetic Algorithm-Based Network Game Path Selection And Simulation, Jianping Gu, Mingmin Zhang, Meiliang Wang 2020 1. Lishui University, Lishui 323000, China;;

Improved Genetic Algorithm-Based Network Game Path Selection And Simulation, Jianping Gu, Mingmin Zhang, Meiliang Wang

Journal of System Simulation

Abstract: Traditional optimal path algorithm only sets the shortest path as the target, and it does not consider the network congestion and the number of users in game area for real-time situation, thus resulting in some limitations. According to the actual circumstance of network game, network game path selection model was proposed, and the improved genetic algorithm was employed for simulation. The method pre-processed the game map to get each road weighted length value for a real-time game map, and optimization solution was obtained through the genetic algorithm. A network game path selection method based on improved genetic algorithm was …


Passive Radar Simulation And Evaluation System Based On Raw Signals, Xiaofeng Ai, Yonghu Zeng, Liandong Wang, Guangyong Zheng, Xiaoyang Wang, Manxi Wang 2020 1. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System, Luoyang 471003, China;;2. State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System,National University of Defense Technology, Changsha 410073, China;

Passive Radar Simulation And Evaluation System Based On Raw Signals, Xiaofeng Ai, Yonghu Zeng, Liandong Wang, Guangyong Zheng, Xiaoyang Wang, Manxi Wang

Journal of System Simulation

Abstract: Detection ability of the passive radar is very closely related with many factors in the real aplication. A method was proposed based on the raw data and the dynamic characteristics of a specific target. In this method, the reference and the surveillance channels' signals were obtained through the actual passive radar receiving system. The direct-path signal was reconstructed by using the reference signal. The target echo was obtained by modulating the direct-path signal with the echo power, delay and Doppler parameters, which was calculated with the move and scattering characteristics of target. Adding the target echo to surveillance channel, …


Segmentation And Recognition Of Hand-Drawn Situation Maps, Deng Wei, Lingda Wu, Yougen Zhang, Yang Chao 2020 1. Science and Technology on Complex Electronic System Simulation Laboratory, Equipment Academy, Beijing 101416, China;;2. Unit 75711 of PLA, Guangzhou 510515, China;;

Segmentation And Recognition Of Hand-Drawn Situation Maps, Deng Wei, Lingda Wu, Yougen Zhang, Yang Chao

Journal of System Simulation

Abstract: Most of current research on online sketched military symbol recognition concerns the isolated samples. In pen-based situation marking systems, users prefer segmenting and recognizing the full sketched situation maps. However, it is a more difficult problem. The characteristics of hand-drawn situation maps and difficulties to segment them were analyzed, and a dynamic programming-based approach was proposed. A hand-drawn situation map was segmented coarsely by minimum spanning tree-based stroke clustering. The candidate segmentation path was evaluated by synthesizing geometric analysis and isolated symbol classifier together, using confidence transformation and fusion. The dynamic programming algorithm was used to search the …


Robust Steerable Frequency Invariant Beamformer Design Based On Srv-Cls, Suting Chen, Zhang Wei 2020 1. Jiangsu Province Key Laboratory of Meteorological Observation and Information Processing in Nanjing University of Information Science & Technology, Nanjing 210044, China;;2. Atmospheric Environment and Equipment Technology Synergy Innovation Center, Nanjing 210044, China;

Robust Steerable Frequency Invariant Beamformer Design Based On Srv-Cls, Suting Chen, Zhang Wei

Journal of System Simulation

Abstract: The frequency invariant beamformer (FIB) has important applications in wideband array signal processing. Conventional FIB design approaches are usually proposed without considering the mismatches in microphone array characteristic, which leads to the performance of the FIBs degrading in practical applications. Therefore, a robust steerable frequency invariant beamformer design approach based on spatial response variation constrained least squares (SRV-CLS) was proposed. It combined the SRV-CLS FIB design approach with classical robust beamforming algorithm, and added the microphone characteristics as robust favor in the cost function. The proposed approach could work well in the presence of microphone mismatches, ensured the frequency …


Dynamic Arrival Sequencing & Scheduling Based On Branch & Bound Algorithm, Junfeng Zhang, Wang Fei, Tengteng Ge 2020 School of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;

Dynamic Arrival Sequencing & Scheduling Based On Branch & Bound Algorithm, Junfeng Zhang, Wang Fei, Tengteng Ge

Journal of System Simulation

Abstract: Optimization of arrival sequencing and scheduling is not only the prerequisite for properly allocating and fully utilizing the runway resource, but also the fundamental element for improving terminal operation efficiency. Dynamic arrival sequencing was obtained by time-triggered sliding time window method. On the basis of accurate 4D trajectory prediction, branch and bound algorithm was adopted to generate an optimal sequence, combined with the actual operation constraints. Taking Shanghai Pudong Airport as an example for simulation, the optimization results were compared with the actual landing time and simulation results based on first come first serve strategy. The results indicate that …


Simulation Study On External Explode Of Large Equivalent Charge On Large Buildings, Weiping Zhao, Xiankun Ge, Chuanwu Liu, Fengchun Zhu 2020 1. The Chinese People's Liberation Army 95856, Nanjing 210028, China;;

Simulation Study On External Explode Of Large Equivalent Charge On Large Buildings, Weiping Zhao, Xiankun Ge, Chuanwu Liu, Fengchun Zhu

Journal of System Simulation

Abstract: The particle algorithm in AUTODYN, Smoothed Particle Hydrodynamics (SPH), was used to simulate dynamic damage of the external explosion on large buildings, which provided a visual effect. The dynamic damage details of reinforced concrete and brick masonry structure at different time were proposed by the simulation of single component. Additionally, the overpressure of shock wave, caving velocity and kinetic energy were obtained. It shows that the caving can speed up to a maximum value of 152 m/s with the kinetic energy of 18 000 J, that means a great damage to personnel and equipment in the building. Under …


Study Of Cognitive Model For Survivable System Based On High-Order Multi-Type Π Calculus, Guosheng Zhao, Zhang Nan, Wang Jian 2020 1. College of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China;;

Study Of Cognitive Model For Survivable System Based On High-Order Multi-Type Π Calculus, Guosheng Zhao, Zhang Nan, Wang Jian

Journal of System Simulation

Abstract: A cognitive model for survivable system with a multilayer cognitive ability was proposed, and based on high-order multi-type π calculus, combining formal modeling of cognitive model with quantitative analysis of cognitive performance, thus can obtain the quantitative evaluation of system cognitive performance after formal modeling of system operation state, system service and internal structure. A cognitive model for survivable system with a multilayer cognitive ability was proposed. Based on high-order multi-type π calculus, formal modeling of cognitive model for survivable system in two aspects was taken. By using the tool MWB, the tests were achieved about system availability, instantaneous …


Research On Direct Torque Control Of Induction Motor Based On Svpwm, Yougui Guo, Dongqing Pan, Deng Cheng, Li Hui, Wenlang Deng 2020 Institute of Information and Engineering of Xiangtan University, Xiangtan 411105, China;

Research On Direct Torque Control Of Induction Motor Based On Svpwm, Yougui Guo, Dongqing Pan, Deng Cheng, Li Hui, Wenlang Deng

Journal of System Simulation

Abstract: The traditional direct torque control of induction motor directly controls the flux and torque through hysteresis comparator, which leads to problems such as limited voltage control vectors, large flux and torque ripple. To solve the problems, adopting SVPWM-DTC, a direct toque control (DTC) method based on space vector pulse width modulation (SVPWM) was verified with a simulation. The results show that this method can improve the performances of DTC system efficiently and maintain the switch frequency constant at the same time. A practical application used in variable speed constant frequency double-fed wind power system was proposed, in which the …


Study Of Light Extraction Efficiency For Thin-Film-Flip-Chip Light-Emitting Diodes With Periodic Spheroids, Xiaojie Yu, Li Kang, Fanmin Kong, Qingyang Yue 2020 School of Information Science and Engineering, Shandong University, Jinan 250100, China;

Study Of Light Extraction Efficiency For Thin-Film-Flip-Chip Light-Emitting Diodes With Periodic Spheroids, Xiaojie Yu, Li Kang, Fanmin Kong, Qingyang Yue

Journal of System Simulation

Abstract: The enhancement of light extraction efficiency for thin-film-flip-chip light-emitting diodes (LED) based gallium nitride (GaN) with triangular lattice periodic ellipsoid was studied. Three dimensional finite difference time domain methods (3D-FDTD) were applied to analyze the structural parameters (the period and ellipsoid height) effects on thin-film-flip-chip LED light extraction efficiency. FDTD numerical results prove that ellipsoids structure can improve LED light extraction efficiency and impair guide mode. Method rigorous coupled wave (RCWA) is adopted to analyze diffraction characteristics. This research results show that optimization of the periodic ellipsoid can improve thin-film-flip-chip LED light extraction efficiency increased by 2.8 times.


Prediction Of Energy Efficiency Of Nc Machine Tools Based On Recursive Method With Discounted Measurements, Cai Lei, Wang Yan, Zhicheng Ji 2020 Institute of Electrical Automation, Jiangnan University, Wuxi 214122, China;

Prediction Of Energy Efficiency Of Nc Machine Tools Based On Recursive Method With Discounted Measurements, Cai Lei, Wang Yan, Zhicheng Ji

Journal of System Simulation

Abstract: Aiming at the problem that the energy efficiency of numerical control machine tool is difficult to obtain directly, a new method combined with the recursive method with discounted measurements was presented to predict the energy efficiency of machine tool. The estimation model of the cutting power was given in view of the power balance equation of the machine tool main drive system and the additional load loss function, further taking into account the additional load loss coefficients in model could not be directly measured, the recursive method with discounted measurements was adopted to identify the additional load loss coefficients …


Invasive Weed Optimization Algorithm Combined With Chaotic Mutation And Analysis Of Its Property, Huang Xia, Chunming Ye, Cao Lei 2020 1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;;2. Zhangjiagang Campus, Jiangsu University of Science and Technology, Zhangjiagang 215600, China;

Invasive Weed Optimization Algorithm Combined With Chaotic Mutation And Analysis Of Its Property, Huang Xia, Chunming Ye, Cao Lei

Journal of System Simulation

Abstract: Inspired by the reproductive aggressive behavior of weeds in nature, invasive weed optimization algorithm (IWO) was developed as a novel bionic swarm intelligence optimization algorithm. An improved IWO algorithm was proposed on the basis of analyzing bionic principle and limitations of basic IWO, which applied an initialization strategy based on chaotic opposition-based learning, increased the diversity of the population through the mutation operator, and enhanced its ability to jump out of local optimal value by chaotic search around current elites. Simulation results for benchmark functions show that the proposed algorithm has improved optimization property compared with IWO, as an …


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