Optimization Of Urban Metro-Based Underground Logistics System Network With Hub-And-Spoke Layout,
2021
1. College of Defense Engineering, Army Engineering University of PLA, Nanjing 210001, China;;
Optimization Of Urban Metro-Based Underground Logistics System Network With Hub-And-Spoke Layout, Ren Rui, Wanjie Hu, Jianjun Dong, Zhilong Chen
Journal of System Simulation
Abstract: Dual application of passenger commuting and underground logistics based on urban metro (M-ULS) provides a solution for traffic congestion. A three-stage optimization approach for the hub-and-spoke M-ULS network is proposed. An Entropy-TOPSIS model for underground flow screening was established based on indicators of freight flows unity, order priority and regional accessibility, considering facility capacity constraints, a location-allocation-routing combinatorial model with construction and operation costs objectives is proposed, Set Coverage Exact Algorithm, Adaptive Immunity Clone Selection Algorithm and Floyd-Warshall Algorithm are developed. Geographic information statistics of Nanjing is applied as the benchmark for real-world simulation. Results show that the modeling …
Research On Simulation Experiment Support Technology For Complex Sos Of Live And Constructive Symbiosis,
2021
1. Joint Operations College, National Defense University, Beijing 100091, China;;
Research On Simulation Experiment Support Technology For Complex Sos Of Live And Constructive Symbiosis, Wu Xi, Ma Jun
Journal of System Simulation
Abstract: The technology of simulation experiment for System of Systems (SoS) is very important in research of complex SoS. The operation SoS is typical complex SoS.Based on the concept of parallel system, symbiotic simulation, digital twin, etc., the main characteristics of the technology are summarized. Focus on the architecture of complex system simulation experiment environment, the experiment environment architecture, hybrid simulation driving mechanism and virtual real data access mode are studied. A feasible method is provided to carry out the complex SoS experiment of multi domain joint, data fusion, resource integration and human-computer integration, and the comprehensive application of …
Research On Control Strategy Of Isolated Ac-Dc Matrix Converter Under Input Unbalance,
2021
College of Information Engineering, Xiangtan University, Xiangtan 411105, China;
Research On Control Strategy Of Isolated Ac-Dc Matrix Converter Under Input Unbalance, Wenlang Deng, Li Yong, Hongbin Pan
Journal of System Simulation
Abstract: To reduce the active power fluctuation of the isolated AC-DC matrix converter (IAMC) under the input unbalance and to suppress the resonance of the LC filter, a deadbeat direct power control strategy based on active damping is proposed. The strategy uses the grid-side current and its delay component to calculate the IAMC input side filter capacitor voltage, which eliminates the high-precision voltage sensor of traditional active damping control, reduces the hardware cost, without the rotation coordinate transformation and phase-locked loops, so the calculation cost is small. The simulation results show that the proposed control strategy can effectively …
Graph-Theoretic Partitioning Of Rnas And Classification Of Pseudoknots-Ii,
2021
CUNY College of Staten Island
Graph-Theoretic Partitioning Of Rnas And Classification Of Pseudoknots-Ii, Louis Petingi
Publications and Research
Dual graphs have been applied to model RNA secondary structures with pseudoknots, or intertwined base pairs. In previous works, a linear-time algorithm was introduced to partition dual graphs into maximally connected components called blocks and determine whether each block contains a pseudoknot or not. As pseudoknots can not be contained into two different blocks, this characterization allow us to efficiently isolate smaller RNA fragments and classify them as pseudoknotted or pseudoknot-free regions, while keeping these sub-structures intact. Moreover we have extended the partitioning algorithm by classifying a pseudoknot as either recursive or non-recursive in order to continue with our research …
Knot Theory In Virtual Reality,
2021
Western Kentucky University
Knot Theory In Virtual Reality, Donald Lee Price
Masters Theses & Specialist Projects
Throughout the study of Knot Theory, there have been several programmatic solutions to common problems or questions. These solutions have included software to draw knots, software to identify knots, or online databases to look up pre-computed data about knots. We introduce a novel prototype of software used to study knots and links by using Virtual Reality. This software can allow researchers to draw links in 3D, run physics simulations on them, and identify them. This technique has not yet been rigorously explored and we believe it will be of great interest to Knot Theory researchers. The computer code is written …
Awegnn: Auto-Parametrized Weighted Element-Specific Graph Neural Networks For Molecules.,
2021
University of Kentucky
Awegnn: Auto-Parametrized Weighted Element-Specific Graph Neural Networks For Molecules., Timothy Szocinski, Duc Duy Nguyen, Guo-Wei Wei
Mathematics Faculty Publications
While automated feature extraction has had tremendous success in many deep learning algorithms for image analysis and natural language processing, it does not work well for data involving complex internal structures, such as molecules. Data representations via advanced mathematics, including algebraic topology, differential geometry, and graph theory, have demonstrated superiority in a variety of biomolecular applications, however, their performance is often dependent on manual parametrization. This work introduces the auto-parametrized weighted element-specific graph neural network, dubbed AweGNN, to overcome the obstacle of this tedious parametrization process while also being a suitable technique for automated feature extraction on these internally complex …
Design And Development Of Techniques To Ensure Integrity In Fog Computing Based Databases,
2021
University of Arkansas, Fayetteville
Design And Development Of Techniques To Ensure Integrity In Fog Computing Based Databases, Abdulwahab Fahad S. Alazeb
Graduate Theses and Dissertations
The advancement of information technology in coming years will bring significant changes to the way sensitive data is processed. But the volume of generated data is rapidly growing worldwide. Technologies such as cloud computing, fog computing, and the Internet of things (IoT) will offer business service providers and consumers opportunities to obtain effective and efficient services as well as enhance their experiences and services; increased availability and higher-quality services via real-time data processing augment the potential for technology to add value to everyday experiences. This improves human life quality and easiness. As promising as these technological innovations, they are prone …
Economically Optimal Nitrogen Side-Dressing Based On Vegetation Indices From Satellite Images Through On-Farm Experiments,
2021
University of Nebraska-Lincoln
Economically Optimal Nitrogen Side-Dressing Based On Vegetation Indices From Satellite Images Through On-Farm Experiments, Qianqian Du
Department of Agricultural Economics: Dissertations, Theses, and Student Research
Optimal N fertilizer rates for corn (Zea mays L.) vary substantially within and among fields, and by corn growth stages. Improving N side-dressing management can improve fertilizer use efficiency, farmers’ profitability, and the sustainability of crop production. The objective of this study is to introduce a framework along with a methodology that can find the site-specific economically optimal N rates (EONRs) within one field for a particular growing season. An on-farm experiment was conducted in the 2019 corn growing season. A base N rate was applied uniformly on the field. NDRE images from the Sentinel-2 satellite were observed during …
A Machine Learning Approach To Understanding Emerging Markets,
2021
University of Arkansas, Fayetteville
A Machine Learning Approach To Understanding Emerging Markets, Namita Balani
Graduate Theses and Dissertations
Logistic providers have learned to efficiently serve their existing customer bases with optimized routes and transportation resource allocation. The problem arises when there is potential for logistics growth in an emerging market with no previous data. The purpose of this work is to use industry data for previously known and well-documented markets to apply data analytic techniques such as machine learning to investigate the uncertainty in a new market. The thesis looks into machine learning techniques to predict miles per stop given historical data. It mainly focuses on Random Forest Regression Analysis, but concludes that additional techniques, such as Polynomial …
Mmconv: An Environment For Multimodal Conversational Search Across Multiple Domains,
2021
Singapore Management University
Mmconv: An Environment For Multimodal Conversational Search Across Multiple Domains, Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua
Research Collection School Of Computing and Information Systems
Although conversational search has become a hot topic in both dialogue research and IR community, the real breakthrough has been limited by the scale and quality of datasets available. To address this fundamental obstacle, we introduce the Multimodal Multi-domain Conversational dataset (MMConv), a fully annotated collection of human-to-human role-playing dialogues spanning over multiple domains and tasks. The contribution is two-fold. First, beyond the task-oriented multimodal dialogues among user and agent pairs, dialogues are fully annotated with dialogue belief states and dialogue acts. More importantly, we create a relatively comprehensive environment for conducting multimodal conversational search with real user settings, structured …
Paying Attention To Video Object Pattern Understanding,
2021
Singapore Management University
Paying Attention To Video Object Pattern Understanding, Wenguan Wang, Jianbing Shen, Xiankai Lu, Steven C. H. Hoi, Haibin Ling
Research Collection School Of Computing and Information Systems
This paper conducts a systematic study on the role of visual attention in video object pattern understanding. By elaborately annotating three popular video segmentation datasets (DAVIS) with dynamic eye-tracking data in the unsupervised video object segmentation (UVOS) setting. For the first time, we quantitatively verified the high consistency of visual attention behavior among human observers, and found strong correlation between human attention and explicit primary object judgments during dynamic, task-driven viewing. Such novel observations provide an in-depth insight of the underlying rationale behind video object pattens. Inspired by these findings, we decouple UVOS into two sub-tasks: UVOS-driven Dynamic Visual Attention …
Simulating Subject Communities In Case Law Citation Networks,
2021
Singapore Management University
Simulating Subject Communities In Case Law Citation Networks, Jerrold Tsin Howe Soh
Research Collection Yong Pung How School Of Law
We propose and evaluate generative models for case law citation networks that account for legal authority, subject relevance, and time decay. Since Common Law systems rely heavily on citations to precedent, case law citation networks present a special type of citation graph which existing models do not adequately reproduce. We describe a general framework for simulating node and edge generation processes in such networks, including a procedure for simulating case subjects, and experiment with four methods of modelling subject relevance: using subject similarity as linear features, as fitness coefficients, constraining the citable graph by subject, and computing subject-sensitive PageRank scores. …
Frameaxis: Characterizing Microframe Bias And Intensity With Word Embedding,
2021
Singapore Management University
Frameaxis: Characterizing Microframe Bias And Intensity With Word Embedding, Haewoon Kwak, Jisun An, Elise Jing Jing, Yong-Yeol Ahn
Research Collection School Of Computing and Information Systems
Framing is a process of emphasizing a certain aspect of an issue over the others, nudging readers or listeners towards different positions on the issue even without making a biased argument. Here, we propose FrameAxis, a method for characterizing documents by identifying the most relevant semantic axes (“microframes”) that are overrepresented in the text using word embedding. Our unsupervised approach can be readily applied to large datasets because it does not require manual annotations. It can also provide nuanced insights by considering a rich set of semantic axes. FrameAxis is designed to quantitatively tease out two important dimensions of how …
Recent Advances In Network-Based Methods For Disease Gene Prediction,
2021
Nanyang Technological University
Recent Advances In Network-Based Methods For Disease Gene Prediction, Sezin Kircali Ata, Min Wu, Yuan Fang, Ou-Yang Le, Chee Keong Kwoh, Xiao-Li Li
Research Collection School Of Computing and Information Systems
Disease-gene association through Genome-wide association study (GWAS) is an arduous task for researchers. Investigating single nucleotide polymorphisms (SNPs) that correlate with specific diseases needs statistical analysis of associations. Considering the huge number of possible mutations, in addition to its high cost, another important drawback of GWAS analysis is the large number of false-positives. Thus, researchers search for more evidence to cross-check their results through different sources. To provide the researchers with alternative and complementary low-cost disease-gene association evidence, computational approaches come into play. Since molecular networks are able to capture complex interplay among molecules in diseases, they become one of …
Step-Wise Deep Learning Models For Solving Routing Problems,
2021
Singapore Management University
Step-Wise Deep Learning Models For Solving Routing Problems, Liang Xin, Wen Song, Zhiguang Cao, Jie Zhang
Research Collection School Of Computing and Information Systems
Routing problems are very important in intelligent transportation systems. Recently, a number of deep learning-based methods are proposed to automatically learn construction heuristics for solving routing problems. However, these methods do not completely follow Bellman's Principle of Optimality since the visited nodes during construction are still included in the following subtasks, resulting in suboptimal policies. In this article, we propose a novel step-wise scheme which explicitly removes the visited nodes in each node selection step. We apply this scheme to two representative deep models for routing problems, pointer network and transformer attention model (TAM), and significantly improve the performance of …
Deep Peak-Shaving Transformation Planning Of Thermal Power Units Based On Approximate Dynamic Programming,
2021
1. School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China; ;
Deep Peak-Shaving Transformation Planning Of Thermal Power Units Based On Approximate Dynamic Programming, Weiqing Sun, Song He, Han Dong, Kunpeng Tian
Journal of System Simulation
Abstract: The generation of renewable energy has great randomness. The lack of flexibility of thermal power unit leads to the problem of peak adjustment. Three reformation schemes for thermal power units, including the thermal power unit internal transformation, configurating energy storage, and joint transformation of the two are proposed. Taking into account the additional cost of thermal powerunit in the deep peak regulation, the planning model of thermal power units depth peak-shaving transformation considering the unit combination is proposed, and the strategy iteration approximate dynamic programming algorithm to decouple the model is presented. The “curses of dimensionality” can be avoided …
Prediction Method For Health Degree Of Front Bearing Of Wind Turbine Generator And Implementation,
2021
1. School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; ;2. Zhong Neng Power-Tech Development Co., LTD, Beijing 100034, China;
Prediction Method For Health Degree Of Front Bearing Of Wind Turbine Generator And Implementation, Yin Shi, Guolian Hou, Chi Yan, Linjuan Gong, Xiaodong Hu
Journal of System Simulation
Abstract: Aiming at the deterioration trend of front bearing of doubly-fed wind turbine generator, a new combined modeling method is proposed to predict health degree of front bearing of generator. The GMM is used to identify operating conditions of wind turbines. The temperature model of front bearing based on ELM is established respectively in each sub-condition. Combining with temperature residual characteristics and time-frequency characteristics of vibration signal, the health degree of front bearing is calculated. Based on attention mechanism, the Bi-LSTM neural network is proposed to model and predict health degree of front bearing. The result shows that the …
Design Of Lvc Simulation Test Middleware For Saas,
2021
Military Exercise and Training Center, Army Academy of Armored Forces, Beijing 100072, China;
Design Of Lvc Simulation Test Middleware For Saas, Du Nan, Yaxin Tan
Journal of System Simulation
Abstract: LVC (Live-Virtual-Constructive) technology provides a new technical means for equipment test. In view of the large number of heterogeneous simulation resource objects and complex interaction in the LVC system test, which can not meet the test task requirements of quick response of the weapon system, the middleware and application model framework is reformed according to the remote method invocation based on TENA. The functional modules of LVC simulation middleware including model running component, publishing and ordering component, message processing component and real-time running component are designed to provide efficient real-time communication mechanism for LVC simulation and support the application …
Simulation On The Development Of Residential Distributed Photovoltaic Power Generation Under The Declining Trend Of Feed-In-Tariff,
2021
1. College of Economics & Management, Energy Soft Science Research Center, Nanjing University of Aeronautics & Astronautics, Nanjing 211106, China;; ;
Simulation On The Development Of Residential Distributed Photovoltaic Power Generation Under The Declining Trend Of Feed-In-Tariff, Libo Zhang, Lulu Ge, Changqi Chen, Mingduan Tang
Journal of System Simulation
Abstract: Residential Distributed Photovoltaic Generation (R-DPVG) has become the important developing force of PV generation in China. As the declining of Feed-in-Tariff (FIT), system dynamics method is used to construct a causal loop model for R-DPVG’s development, and relevant factors and their feedback mechanism are qualitatively analyzed. Then a stock-flow model is build, and the ROI, installed capacity, and policy subsidy costs of R-DPVG are simulated under some combined scenarios based on declining FIT. The simulation proves R-DPVG’s FIT will be reduced to 0.05 ~ 0.1 yuan/(kW?h) in the next three years till cancelled. FIT cutting amplitude, capacity and targets …
Approximate Method Of Spares Demand Prediction For Weibull Distribution Items Based On Piecewise Function,
2021
1. College of Naval Architecture and Ocean Engineering, Naval University of Engineering, Wuhan 430033, China; ;
Approximate Method Of Spares Demand Prediction For Weibull Distribution Items Based On Piecewise Function, Songshi Shao, Zhihua Zhang, Xiaojie Mo
Journal of System Simulation
Abstract: Demand prediction model for spare parts with Weibull distribution involves multiple infinite series, therefore, spares demand calculation is a difficult issue. The approximate calculation method generally used is often subject to large errors. According to the principle of renewal function, the approximated demand calculation method for spares of Weibull distribution using piecewise function to approximate the renewal function is proposed. It effectively avoids the issue of computational complexity for spares demand prediction. Theoretical analysis shows that the proposed approximated algorithm ensures the calculation result of spares demand is less than that of engineering approximation algorithm. According to the given …
