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Effect of Barrier Layer on InAs/GaSb Type- II Superlattice nBn Detector

Effect of Barrier Layer on InAs/GaSb Type- II Superlattice n...

引用

20th International conference on Electronics, Information, and Communication (ICEIC)

作者： Jang, Ahreum Lee, Hyun Jin Kim, Young Ho Jung, Han Bidenko, Pavlo Kim, Sanghyeon I3system Inc R&D Ctr Daejeon 34113 South Korea Korea Adv Inst Sci & Technol Sch Elect Engn Daejeon 34141 South Korea

ISBN: (纸本)9781728191614

In a barrier infrared detector (BIRD), the design of the barrier layer plays an important role in device performance. In InAs/GaSb Type-II superlattice (T2SL) detector with the nBn structure, AlGaSb is generally used as a barrier layer material. However, AlGaSb material has strain due to lattice mismatch with T2SL absorption layer, and it has a valence band offset (VBO) with the absorption layer in terms of band alignment. the feature of T2SL material is that it has flexible in the bandgap engineering. therefore, T2SL material can be designed as barrier layer material. In this study, the electronic band structure of InAs/GaSb T2SL is calculated using 8-band k.p envelope method. In the nBn detector with a T2SL absorption layer, it compares the performance of the designed T2SL barrier layer and the AlGaSb barrier layer. Our study shows that T2SL barrier detectors reduced turn-on voltage by bringing the VBO close to zero. And since the lattice constant of the absorption layer and barrier layer are similar, the strain is decreased, improving the dark current density characteristic.

关键词： InAs/GaSb T2SL barrier infrared detector (BIRD) nBn structure bandgap engineering modeling

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Counter-Rail Special Profile for New Generation Railroad Switch 20th

Counter-Rail Special Profile for New Generation Railroad Swi...

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20th Annual International Scientific conference on Energy Management of Municipal Facilities and Sustainable Energy Technologies (EMMFT)

作者： Glusberg, Boris Savin, Alexander Loktev, Alexey Korolev, Vadim Shishkina, Irina Chernova, Lidia Loktev, Daniil Railway Res Inst Third Mytishchenskaya 10 Moscow 107996 Russia Russian Univ Transport Russian Open Acad Transport Chasovaya Str 22-2 Moscow 125190 Russia Moscow State Univ Civil Engn Yaroslayskoye Shosse 26 Moscow 129337 Russia

ISBN: (纸本)9783030197568;9783030197551

Studies of the strain-stress distribution of the flange rail assemblies using mathematical modeling methods for the flange rail assemblies of various designs are presented. the characteristics of variants of special profiles are given. the proposal on the expediency of application of the optimized flange rail in the railroad switches construction of modern is formulated.

关键词： Railway track Railroad switches Flange rail special profile Mathematical modeling optimization

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the Location-Routing Problem: A Review 20

The Location-Routing Problem: A Review

引用

20th COTA International conference of Transportation Professionals (CICTP) - Advanced Transportation, Enhanced Connection

作者： Cao, Jinxin Wang, Xiangting Li, Bing Gao, Jiachen Inner Mongolia Univ Inst Transportat Engn Hohhot 010070 Peoples R China Inner Mongolia Univ Sch Math Hohhot 010021 Peoples R China

ISBN: (数字)9780784482933

ISBN: (纸本)9780784482933

the location-routing problem (LRP) plays a critical role in the logistics system optimization. this paper first summarizes the development process of LRP model, and then the research status of it. the applicability of LRP model solution algorithm of supply chain management is given. this study puts forward the main research direction of LRP and the research results of LRP algorithm. the solution algorithm of LRP has gradually changed from the early precise algorithm to the heuristic algorithm and hybrid algorithm. the algorithm has gradually produced the test example of extended LRP. According to the change of market environment and demand, the research direction of LRP in the future is proposed.

关键词： Logistics system optimization Location-routing problem Algorithm design Review

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Parallel-Friendly and Work-Efficient Single Source Shortest Path Algorithm on Single-Node system

Parallel-Friendly and Work-Efficient Single Source Shortest ...

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IEEE International conference on High Performance Computing and Communications (HPCC)

作者： Jie Zhang Yuan Zhang Yiming Sun Huawei Cao Xuejun An Xiaochun Ye State Key Lab of Processors Institute of Computing Technology CAS Beijing China School of Computer and Control Engineering UCAS Beijing China Nanjing Institute of Information Superbahn CAS Nanjing China

the Single-Source Shortest Path (SSSP) algorithm is one of the most important kernels used by a variety of high-level graph processing applications. Although having been extensively studied for single-node scenarios, SSSP algorithm still faces difficulties when being deployed on scale-free graph, which brings about redundant edge traversals, expensive atomic operations and random memory access. In this paper, three parallel-friendly and work-efficient opti-mizations are introduced to improve the performance of parallel SSSP algorithm with shared memory on the single-node system. First, a label-aware pruning technique is proposed to reduce the redundant edge traversals. then, atomic operations caused by race conditions are eliminated by using destination-driven sub graph partitioning. Finally, we propose a double-ordered bucket strategy to further improve the efficiency of SSSP. the experiment demonstrates that the average speedup reaches to 27.58x compared with original implement for R-MAT graphs. Meanwhile, our method achieves up to 2.12x for R-MAT graphs and 4.45 x for real-world graphs on average compared to previous state-of-the-art parallel implementation.

关键词： Partitioning algorithms Kernel optimization Faces

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Aerodynamic Shape optimization for Delaying Dynamic Stall of Airfoils by Regression Kriging 20th

Aerodynamic Shape Optimization for Delaying Dynamic Stall of...

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20th Annual International conference on Computational Science (ICCS)

作者： Raul, Vishal Leifsson, Leifur Koziel, Slawomir Iowa State Univ Dept Aerosp Engn Ames IA 50011 USA Reykjavik Univ Engn Optimizat & Modeling Ctr Reykjavik Iceland

ISBN: (纸本)9783030867973;9783030504250

the phenomenon of dynamic stall produce adverse aerodynamic loading which can adversely affect the structural strength and life of aerodynamic systems. Aerodynamic shape optimization (ASO) provides an effective approach for delaying and mitigating dynamic stall characteristics without the addition of auxiliary system. ASO, however, requires multiple evaluations time-consuming computational fluid dynamics models. Metamodel-based optimization (MBO) provides an efficient approach to alleviate the computational burden. In this study, the MBO approach is utilized for the mitigation of dynamic stall characteristics while delaying dynamic stall angle of the flow past wind turbine airfoils. the regression Kriging metamodeling technique is used to approximate the objective and constrained functions. the airfoil shape design variables are described with six PARSEC parameters. A total of 60 initial samples are used to construct the metamodel, which is further refined with 20 infill points using expected improvement. the metamodel is validated with the normalized root mean square error based on 20 test data samples. the refined metamodel is used to search for the optimal design using a multi-start gradient-based method. the results show that an optimal design with a 3. delay in dynamic stall angle as well a reduction in the severity of pitching moment coefficients can be obtained.

关键词： Dynamic stall Unsteady CFD Surrogate-based optimization Regression Kriging Expected improvement

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Optimisation of Prosumers' Participation in Energy Transactions

Optimisation of Prosumers' Participation in Energy Transacti...

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20th IEEE International conference on Environment and Electrical Engineering (EEEIC) / 4th IEEE Industrial and Commercial Power systems Europe conference (I and CPS Europe)

作者： Gough, Matthew Santos, Sergio F. Javadi, Mohammad Fitiwi, Desta Z. Osorio, Gerardo J. Castro, Rui Lotfi, Mohamed Catalao, Joao P. S. Univ Porto Fac Engn Porto Portugal INESC TEC Porto Portugal ERSI Dublin Ireland C MAST UBI Covilha Portugal IST Lisbon Portugal INESC ID Lisbon Portugal

ISBN: (纸本)9781728174556

there is an ongoing paradigm shift occurring in the electricity sector. In particular, previously passive consumers are now becoming active prosumers and they can now offer important and cost-effective new forms of flexibility and demand response potential to the electricity sector and this can translate into system-wide operational and economic benefits. this work focuses on developing a model where prosumers participate in demand response programs through varying tariff schemes, and the model also quantifies the benefits of this flexibility and cost-reductions. this work includes transactive energy trading between various prosumers, the grid and the neighborhood. A stochastic tool is developed for this analysis, which also allows the quantification of the collective behavior so that the periods with the greatest demand response potential can be identified. Numerical results indicate that the optimization of energy transactions amongst the prosumers, and including the grid, leads to considerable cost reductions as well as introducing additional flexibility in the presence of demand response mechanisms.

关键词： prosumers flexibility demand response smart neighborhood stochastic optimization

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Proceedings - STA 2020: 2020 20th International conference on Sciences and Techniques of Automatic Control and Computer Engineering

Proceedings - STA 2020: 2020 20th International Conference o...

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20th International conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2020

ISBN: (纸本)9781728188157

the proceedings contain 63 papers. the topics discussed include: gain enhancement of monopole antenna using partially reflective surface for 5g application;a new learning rate tuning for nonlinear system emulation;IoT based low-cost weather station and monitoring system for smart agriculture;remote supervision of discrete parameter-varying networked control systems in a set-membership framework;identification of nonlinear systems using neuro-fuzzy model tuned by crow search algorithm;use of dual band microwave radios as an alternative wireless medium for outdoor visible light communication in medium speed railways;comparison of fuzzy logic controller (FLC) and perturb-observe (PO) of photovoltaic system;sensorless new LiFe4PO battery model identification for online SOC estimation application;and process optimization and control with structural model errors.

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Decomposition Model of Contract for Difference Considering Market Power Mitigation

Decomposition Model of Contract for Difference Considering M...

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20th IEEE International conference on Environment and Electrical Engineering (EEEIC) / 4th IEEE Industrial and Commercial Power systems Europe conference (I and CPS Europe)

作者： Xu, Chengwei Pang, Kaiyuan Wen, Fushuan Palu, Ivo Gong, Jianrong Xie, Yuzhe Chen, Cheng Zhejiang Univ Coll Elect Engn Hangzhou Peoples R China Tallinn Univ Technol Dept Elect Power Engn & Mechatron Tallinn Estonia Zhejiang Power Exchange Ctr Co Ltd Hangzhou Peoples R China

ISBN: (纸本)9781728174556

the Contract for Difference (CfD) is recognized as an efficient tool for hedging risks in electricity markets. the decomposition of a CfD aims to schedule the concerned contract energy over the contract period for future delivery and settlement, and could directly affects the amount and distribution of the excess capacity of a generator as well as its market power level. In this paper, a decomposition model of CfDs is proposed from the prospective of mitigating the potential market power in an electricity market. First, the residual demand is employed to analyze the impact of CfDs decomposition on market power. the well-established Cournot competition model and perfect competition model are next introduced for market power assessment. On this basis, a decomposition strategy with the objective of minimizing the market price markups is formulated as a bi-level optimization problem. Finally, a 6-unit test system is employed to demonstrate the proposed model, together with detailed analysis of numerical results.

关键词： Electricity market Contract for Difference (CfD) market power mitigation game theory bi-level optimization

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Learning Periods from Incomplete Multivariate Time Series 20

Learning Periods from Incomplete Multivariate Time Series

引用

20th IEEE International conference on Data Mining (ICDM)

作者： Zhang, Lin Gorovits, Alexander Zhang, Wenyu Bogdanov, Petko SUNY Albany Albany NY 12222 USA Cornell Univ Ithaca NY USA

ISBN: (纸本)9781728183169

modeling and detection of seasonality in time series is essential for accurate analysis, prediction and anomaly detection. Examples of seasonal effects at different scales abound: the increase in consumer product sales during the holiday season recurs yearly, and similarly household electricity usage has daily, weekly and yearly cycles. the period in real-world time series, however, may be obfuscated by noise and missing values arising in data acquisition. How can one learn the natural periodicity from incomplete multivariate time series? We propose a robust framework for multivariate period detection, called LAPIS. It encodes incomplete and noisy data as a sparse summary via a Ramanujan periodic dictionary. LAPIS can accurately detect a mixture of multiple periods in the same time series even when 70% of the observations are missing. A key innovation of our framework is that it exploits shared periods across individual time series even when they are not correlated or in-phase. Beyond detecting periods, LAPIS enables improvements in downstream applications such as forecasting, missing value imputation and clustering. At the same time our approach scales to large real-world data executing within seconds on datasets of length up to half a million time points.

关键词： Period learning Multivariate time series Missing data imputation Alternating optimization

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Admission, Association, and Rate Maximization in a UAV Assisted User Clustering Based Downlink Hybrid Multiple Access HetNets

Admission, Association, and Rate Maximization in a UAV Assis...

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International Bhurban conference on Applied Sciences & Technology, IBCAST

作者： Umar Ghafoor Mudassar Ali Adil Masood Siddiqui National University of Sciences and Technology Islamabad Pakistan University of Engineering and Technology Taxila Pakistan

ISBN: (数字)9798350308259

ISBN: (纸本)9798350308266

this paper addresses the future requirements of extensive coverage, high data rate, and support for highly interactive multimedia applications by exploring the benefits of fifth-generation (5G) networks. Existing studies have separately investigated unmanned aerial vehicles (UAVs), heterogeneous networks (HetNets), orthogonal multiple access (OMA), non-orthogonal multiple access (NOMA), and user clustering. However, the collective impact of these factors has not been explored together. HetNet is a collection of base stations (BSs) as macro BS (MBS) and small BS (SBS). A comprehensive approach by combining these elements, i.e., UAV-assisted user clustering based downlink hybrid-multiple access (hybrid-MA) in HetNet, is proposed to maximize sum rates, taking into account factors such as user admission in clusters, user association with BSs, power allocation, the distance of users from BSs, and minimum rate requirements. A novel network model is presented and the problem is formulated as mixed integer nonlinear programming (MINLP), which is solved using an outer approximation algorithm (OAA). Comparative evaluations with existing strategies, i.e., OMA-MBS-only, NOMA-MBS-only, hybrid-MA-MBS only, and hybrid-MA-HetNet, demonstrate the superior performance of the proposed technique in terms of user admission, user association, and sum rate.

关键词： NOMA system performance Programming Downlink Autonomous aerial vehicles Load management User experience Heterogeneous networks Resource management optimization

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