Relevant bibliographies by topics / Static algorithm improvement

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Static algorithm improvement'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Static algorithm improvement"

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Mohyar, Shaiful Nizam, Masahiro Murakami, Atsushi Motozawa, Haruo Kobayashi, Osamu Kobayashi, and Tatsuji Matsuura. "SFDR Improvement Algorithms for Current-Steering DACs." Key Engineering Materials 643 (May 2015): 101–8. http://dx.doi.org/10.4028/www.scientific.net/kem.643.101.

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This paper presents algorithms for improving spurious-free dynamic range (SFDR) of current-steering digital-to-analog converters (DACs) — targeted at communication applications — by minimizing both current-source mismatches and glitches. Conventional segmented current-steering DACs suffer from static mismatches among current sources which cause nonlinearity and degrade SFDR, though glitch energy is relatively small. The data-weighted averaging (DWA) algorithm can reduce static current source mismatch effects, but it increases the effects of glitch energy. Here we investigate the use of both co
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Zhang, Lin, Yingjie Zhang, Manni Zeng, and Yangfan Li. "Robot navigation based on improved A* algorithm in dynamic environment." Assembly Automation 41, no. 4 (2021): 419–30. http://dx.doi.org/10.1108/aa-07-2020-0095.

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Purpose The purpose of this paper is to put forward a path planning method in complex environments containing dynamic obstacles, which improves the performance of the traditional A* algorithm, this method can plan the optimal path in a short running time. Design/methodology/approach To plan an optimal path in a complex environment with dynamic and static obstacles, a novel improved A* algorithm is proposed. First, obstacles are identified by GoogLeNet and classified into static obstacles and dynamic obstacles. Second, the ray tracing algorithm is used for static obstacle avoidance, and a dynam
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Zou, Liang, Zi Zhang, and Ling Xiang Zhu. "Improvement A* Algorithm Based on Dynamic Consistency Assumption." Applied Mechanics and Materials 97-98 (September 2011): 883–87. http://dx.doi.org/10.4028/www.scientific.net/amm.97-98.883.

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Efficient dynamic shortest path algorithm in static networks plays an important role in ITS. To solve this problem, this paper brings forward the dynamic form of Consistency Assumption and Dynamic A* algorithm (A* algorithm based on dynamic lower bound, DA* algorithm) based on dynamic lower bound. DA* algorithm and the dynamic form of Consistency Assumption are described in detail. It is proved that DA* algorithm can solve one origin node to one destination node shortest paths problem in dynamic networks, if DA* algorithm’s dynamic lower bound satisfies the dynamic form of Consistency Assumpti
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Lenin, Kanagasabai. "ACTIVE POWER LOSS REDUCTION AND IMPROVEMENT OF STATIC VOLTAGE STABILITY MARGIN INDEX BY WATERWAY ALGORITHM." SINERGI 22, no. 3 (2018): 155. http://dx.doi.org/10.22441/sinergi.2018.3.003.

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In this paper, the Waterway Algorithm (WA) is used for Active Power Loss Reduction and improvement of Static Voltage Stability Margin Index. The design of the Waterway Algorithm (WA) is imitated from nature and the whole waterway process which involves the flow of streams and rivers into the sea in the natural world. The proposed Waterway Algorithm (WA) algorithm has been tested on standard IEEE 30 bus test system and simulation results show clearly about the superior performance of the proposed algorithm in reducing the real power loss and upgrading the Static Voltage Stability Margin Index.
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Ameen, Shivan Qasim, and Firas Layth Khaleel. "Wireless Mesh Networks Based on MBPSO Algorithm to Improvement Throughput." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2018): 4374. http://dx.doi.org/10.11591/ijece.v8i6.pp4374-4381.

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Wireless Mesh Networks can be regarded as a type of communication technology in mesh topology in which wireless nodes interconnect with one another. Wireless Mesh Networks depending on the semi-static configuration in different paths among nodes such as PDR, E2E delay and throughput. This study summarized different types of previous heuristic algorithms in order to adapt with proper algorithm that could solve the issue. Therefore, the main objective of this study is to determine the proper methods, approaches or algorithms that should be adapted to improve the throughput. A Modified Binary Par
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Ameen, Shivan Qasim, and Firas Layth Khaleel. "Wireless Mesh Networks Based on MBPSO Algorithm to Improvement Throughput." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 6 (2020): 4374–81. https://doi.org/10.11591/ijece.v8i6.pp4374-4381.

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Wireless Mesh Networks can be regarded as a type of communication technology in mesh topology in which wireless nodes interconnect with one another. Wireless Mesh Networks depending on the semi-static configuration in different paths among nodes such as PDR, E2E delay and throughput. This study summarized different types of previous heuristic algorithms in order to adapt with proper algorithm that could solve the issue. Therefore, the main objective of this study is to determine the proper methods, approaches or algorithms that should be adapted to improve the throughput. A Modified Binary Par
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SHINJO, K., S. SHIMOGAWA, J. YAMADA, and K. OIDA. "A STRATEGY OF DESIGNING ROUTING ALGORITHMS BASED ON IDEAL ROUTINGS." International Journal of Modern Physics C 10, no. 01 (1999): 63–94. http://dx.doi.org/10.1142/s012918319900005x.

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This paper proposes a strategy of designing routing algorithms for connectionless packet-switched networks. This strategy consists of three design elements as follows: [A] the notion of ideal routings is introduced to provide the upper performance limits attained by improving routing algorithm and it serves as a standard to measure the performance of other algorithms; [B] a method of constructing simple algorithms is presented under implementation conditions from ideal routings; [C] a method is described to enhance the performance limits of [A]. By using these elements, simple algorithms with
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Gallego, Luis A., Marcos J. Rider, Marina Lavorato, and Antonio Paldilha-Feltrin. "An Enhanced Genetic Algorithm to Solve the Static and Multistage Transmission Network Expansion Planning." Journal of Electrical and Computer Engineering 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/781041.

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An enhanced genetic algorithm (EGA) is applied to solve the long-term transmission expansion planning (LTTEP) problem. The following characteristics of the proposed EGA to solve the static and multistage LTTEP problem are presented, (1) generation of an initial population using fast, efficient heuristic algorithms, (2) better implementation of the local improvement phase and (3) efficient solution of linear programming problems (LPs). Critical comparative analysis is made between the proposed genetic algorithm and traditional genetic algorithms. Results using some known systems show that the p
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Ramadan, Abdelhady, Salah Kamel, Mohamed H. Hassan, Emad M. Ahmed, and Hany M. Hasanien. "Accurate Photovoltaic Models Based on an Adaptive Opposition Artificial Hummingbird Algorithm." Electronics 11, no. 3 (2022): 318. http://dx.doi.org/10.3390/electronics11030318.

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The greater the demand for energy, the more important it is to improve and develop permanent energy sources, because of their advantages over non-renewable energy sources. With the development of artificial intelligence algorithms and the presence of so many data, the evolution of simulation models has increased. In this research, an improvement to one recent optimization algorithm called the artificial hummingbird algorithm (AHA) is proposed. An adaptive opposition approach is suggested to select whether or not to use an opposition-based learning (OBL) method. This improvement is developed ba
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Mishra, Soumya. "A MICC Algorithm for Power Quality Improvement Using PV-DSTATCOM." Asian Journal of Electrical Sciences 8, S1 (2019): 55–59. http://dx.doi.org/10.51983/ajes-2019.8.s1.2306.

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A modified indirect control algorithm is presented in this paper to improve the operation of photovoltaic fed distributed static compensator. This new algorithm overcomes the limitations of direct current control algorithm under non-ideal supply voltage conditions such asswitching notches in source current after compensation, distortions in the reference source current and poor harmonic elimination. The design and performance testing of the presented system has been carried out in MATLAB/Simulink software. Furthermore, the efficacy and robustness of the presented system are validated through e
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Dissertations / Theses on the topic "Static algorithm improvement"

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Rusanova, Olga, Alexander Korochkin, and Oleg Shevelo. "Scheduling problems for mobile cloud computing." Thesis, National aviation university, 2021. https://er.nau.edu.ua/handle/NAU/50689.

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Nowadays the popularity of mobile devices is rapidly increased. New facilities of them (Wi-Fi, GPS, high speed processors etc.) allows to improve mobile applications in commerce, learning, gaming, health monitoring, sports etc. But really there are several reasons that limit mobile computing: limited storage capacity, limited battery life and limited processing power of mobile devices. This paper is dedicated to Mobile cloud computing (MCC). We consider MCC as combination of mobile and cloud computing where both data storage and data processing are performed outside the mobile device
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Ravi, Kumar B. "Development Of Algorithms For Power Quality Improvements In Distribution Systems." Thesis, 2004. https://etd.iisc.ac.in/handle/2005/1170.

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Ravi, Kumar B. "Development Of Algorithms For Power Quality Improvements In Distribution Systems." Thesis, 2004. http://etd.iisc.ernet.in/handle/2005/1170.

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Books on the topic "Static algorithm improvement"

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AlJaroudi, Wael. Risk Assessment in Acute Coronary Syndromes. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199392094.003.0013.

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Acute coronary syndromes (ACS) include unstable angina pectoris (UAP), non-ST elevation (NSTEMI), and ST elevation acute myocardial infarction (STEMI). Each year, more than 2 million people are hospitalized with ACS in the United States. The initial treatment has evolved over the last few decades from conservative management to early reperfusion therapy. Medical therapy has also significantly changed with the use of newer more potent antiplatelet agents, beta-blockers, angiotensin converting enzyme inhibitors, statins, and anti-anginal drugs, which have resulted in improvement of patient care
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Book chapters on the topic "Static algorithm improvement"

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Ou, Zhixin, Juan Chen, Yuyang Sun, et al. "AOA: Adaptive Overclocking Algorithm on CPU-GPU Heterogeneous Platforms." In Algorithms and Architectures for Parallel Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-22677-9_14.

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AbstractAlthough GPUs have been used to accelerate various convolutional neural network algorithms with good performance, the demand for performance improvement is still continuously increasing. CPU/GPU overclocking technology brings opportunities for further performance improvement in CPU-GPU heterogeneous platforms. However, CPU/GPU overclocking inevitably increases the power of the CPU/GPU, which is not conducive to energy conservation, energy efficiency optimization, or even system stability. How to effectively constrain the total energy to remain roughly unchanged during the CPU/GPU overc
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Lundén, Daniel, Lars Hummelgren, Jan Kudlicka, Oscar Eriksson, and David Broman. "Suspension Analysis and Selective Continuation-Passing Style for Universal Probabilistic Programming Languages." In Programming Languages and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57267-8_12.

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AbstractUniversal probabilistic programming languages (PPLs) make it relatively easy to encode and automatically solve statistical inference problems. To solve inference problems, PPL implementations often apply Monte Carlo inference algorithms that rely on execution suspension. State-of-the-art solutions enable execution suspension either through (i) continuation-passing style (CPS) transformations or (ii) efficient, but comparatively complex, low-level solutions that are often not available in high-level languages. CPS transformations introduce overhead due to unnecessary closure allocations
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Chung, Minh Thanh, Josef Weidendorfer, Karl Fürlinger, and Dieter Kranzlmüller. "Proactive Task Offloading for Load Balancing in Iterative Applications." In Parallel Processing and Applied Mathematics. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-30442-2_20.

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AbstractLoad imbalance is often a challenge for applications in parallel systems. Static cost models and pre-partitioning algorithms distribute the load at the beginning. Nevertheless, dynamic changes during execution or inaccurate cost indicators may lead to imbalance at runtime. Reactive work-stealing strategies can help monitor the execution and perform task migration to balance the load. However, the benefits depend on migration overhead and assumption about future execution.Our proactive approach further improves existing solutions by applying machine learning to online load prediction. F
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Chalupa, Marek, Vincent Mihalkovič, Anna Řechtáčková, Lukáš Zaoral, and Jan Strejček. "Symbiotic 9: String Analysis and Backward Symbolic Execution with Loop Folding." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99527-0_32.

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AbstractThe development of Symbiotic 9 focused mainly on two components. One is the symbolic executor Slowbeast, which newly supports backward symbolic execution including its extension called loop folding. This technique can infer inductive invariants from backward symbolic execution states. Thanks to these invariants, Symbiotic 9 is able to produce non-trivial correctness witnesses, which is a feature that is missing in previous versions of Symbiotic. We have also extended forward symbolic execution in Slowbeast with a basic support for parallel programs. The second component with significan
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Zufferey, Nicolas. "Ant Algorithms: From Drawback Identification to Quality and Speed Improvement." In Handbook of Nature-Inspired Optimization Algorithms: The State of the Art. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07516-2_2.

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Menezes, Rafael Sá, Mohannad Aldughaim, Bruno Farias, et al. "ESBMC v7.4: Harnessing the Power of Intervals." In Tools and Algorithms for the Construction and Analysis of Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-57256-2_24.

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AbstractESBMC implements many state-of-the-art techniques that combine abstract interpretation and model checking. Here, we report on new and improved features that allow us to obtain verification results for previously unsupported programs and properties. ESBMC now employs a new static interval analysis of expressions in programs to increase verification performance. This includes interval-based reasoning over booleans and integers, and forward-backward contractors. Other relevant improvements concern the verification of concurrent programs, as well as several operational models, internal one
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Chalupa, Marek, Tomáš Jašek, Jakub Novák, Anna Řechtáčková, Veronika Šoková, and Jan Strejček. "Symbiotic 8: Beyond Symbolic Execution." In Tools and Algorithms for the Construction and Analysis of Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72013-1_31.

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AbstractSymbiotic 8 extends the traditional combination of static analyses, instrumentation, program slicing, and symbolic execution with one substantial novelty, namely a technique mixing symbolic execution with k-induction. This technique can prove the correctness of programs with possibly unbounded loops, which cannot be done by classic symbolic execution.Symbiotic 8 delivers also several other improvements. In particular, we have modified our fork of the symbolic executorKleeto support the comparison of symbolic pointers. Further, we have tuned the shape analysis toolPredator(integrated al
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Wu, Tong, Xianzhiyu Li, Edoardo Manino, et al. "ESBMC v7.7: Efficient Concurrent Software Verification with Scheduling, Incremental SMT and Partial Order Reduction." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90660-2_16.

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Abstract ESBMC v7.7 improves the verification of concurrent C programs by incorporating techniques such as dynamic thread scheduling, incremental SMT solving, and partial order reduction (POR). These improvements enhance the tool’s performance, particularly in exploring complex multi-threaded executions. The new scheduler prioritizes higher-thread identifiers during context switches, which helps explore deeper program states. The use of incremental SMT solving and a refined POR algorithm reduces the exploration of unreachable interleavings and redundant states. These updates enable ESBMC to de
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Dell’Erba, Daniele, Yong Li, and Sven Schewe. "DFAMiner: Mining Minimal Separating DFAs from Labelled Samples." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-71177-0_4.

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AbstractWe propose , a passive learning tool for learning minimal separating deterministic finite automata (DFA) from a set of labelled samples. Separating automata are an interesting class of automata that occurs generally in regular model checking and has raised interest in foundational questions of parity game solving. We first propose a simple and linear-time algorithm that incrementally constructs a three-valued DFA (3DFA) from a set of labelled samples given in the usual lexicographical order. This 3DFA has accepting and rejecting states as well as don’t-care states, so that it can exact
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Verbeek, Tamara, Ruozhu Yao, and Marwan Hassani. "Task-Free Continual Learning with Dynamic Loss for Online Next Activity Prediction." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82225-4_51.

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Abstract Continual learning, known also as lifelong learning, aims at designing learning models that can continuously and autonomously adapt to varying data concepts without forgetting previously collected knowledge. Such concepts are referred to as tasks. Predictive business process monitoring, which predicts future process steps, is crucial in dynamic environments where tasks are not previously specified and processes frequently change or face unpredictability. However, many existing frameworks assume a static setting, ignoring dynamic nature and concept drifts in processes, leading to catas
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Conference papers on the topic "Static algorithm improvement"

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Rahman, Muhammad Alif Fatih, Iwa Garniwa, and Fauzan Hanif Jufri. "Optimal Placement and Capacity of Static VAR Compensator on Voltage Improvement Using Firefly Algorithm Optimization." In 2024 7th International Seminar on Research of Information Technology and Intelligent Systems (ISRITI). IEEE, 2024. https://doi.org/10.1109/isriti64779.2024.10963566.

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Canales-Verdial, Jorge I. "Synaptic Weights in a Neuromemristive Radioisotope Classifier." In I Conferencia Internacional de Ciencia, Tecnología e Innovación. Trans Tech Publications Ltd, 2024. http://dx.doi.org/10.4028/p-qi5dkx.

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A memristor crossbar’s intrinsic device network dynamics can be harnessed to efficiently conduct radionuclide classification tasks by retrofitting the network with a peripheral CMOS-based architecture that has been structurally and functionally optimized for this classification task. However, the hardware implementation of this classification platform is limited by the physical characteristics of the memristor which has a finite number of states. This renders the employment of traditional neural network learning algorithms, where the weights are not limited to defined states, as an excessively
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Horton, Dustin, Joel T. Johnson, Mohammad AI-Khaldi, Jeonghwan Park, and Rajat Bindlish. "Dual Frequency Improvements to the Time-Series Ratio Algorithm for Soil Moisture Retrievals in the SMEX02 Campaign." In 2025 United States National Committee of URSI National Radio Science Meeting (USNC-URSI NRSM). IEEE, 2025. https://doi.org/10.23919/usnc-ursinrsm66067.2025.10906901.

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Saeidpour, E., M. Abedi, and V. S. Parizy. "Integration design of fuzzy system using genetic algorithm for improvement of voltage profile with Static VAR compensator." In 2008 11th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM). IEEE, 2008. http://dx.doi.org/10.1109/optim.2008.4602372.

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Behera, Santi, Manish Tripathy, and J. K. Satapathy. "A novel approach for load margin improvement with optimal location and size of static capacitor using BFO algorithm." In 2015 International Conference on Energy, Power and Environment: Towards Sustainable Growth (ICEPE). IEEE, 2015. http://dx.doi.org/10.1109/epetsg.2015.7510120.

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Yan, Yue, and Xiudan Ma. "A MIL/SIL Testing Approach for Predictive Energy Management Algorithm." In WCX SAE World Congress Experience. SAE International, 2025. https://doi.org/10.4271/2025-01-8583.

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<div class="section abstract"><div class="htmlview paragraph">Energy management strategy is essential for HEV’s to achieve an optimum of energy consumption. With predictive energy management, taking future vehicle speed predicted from ADAS map information, in-vehicle navigation traffic flow status information, and current speed into account, one could anticipate a considerable improvement in energy-saving. The major validating approach widely adopted for energy management algorithms nowadays is real-world vehicle testing, of which the economic and time costs are relatively high. Mo
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Hosseini, Niloofar, and Mehran Tadjfar. "Investigating the Effect of Configuration and Reduced Frequency on SD7003 Airfoils Performance in Tandem." In ASME 2020 Fluids Engineering Division Summer Meeting collocated with the ASME 2020 Heat Transfer Summer Conference and the ASME 2020 18th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/fedsm2020-20196.

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Abstract The effect of placing a stationary airfoil downstream of a pitching airfoil in a tandem configuration was investigated using computational fluid dynamics. A finite-volume URANS solver was employed to simulate the flow field. An optimization study was performed at the low Reynolds number of 30,000 for SD7003 airfoils using a genetic algorithm. Three artificial neural networks were coupled with the genetic algorithm to reduce the computational cost. The optimization process was used to find the optimum design parameters in order to maximize lift to drag ratio of airfoils together in add
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Weström, Jakob, Xiaolong Feng, Hans Andersson, and Stefan Lunderius. "Optimal Spring Balancing Cylinder Design of an Industrial Robot Using Multi-Disciplinary and Multi-Objective Optimization." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82252.

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This article presents an automated approach in optimal design of the spring balancing cylinder of an industrial robot using multi-disciplinary and multi-objective design optimization. Spring balancing cylinder is a mechanical device typically used in industrial robots of high load handling capacity. The objective of use of such device is to effectively balance one of main axes (typically axis-2) subject to the most severe gravitational torque. The spring balancing cylinder consists typically of multiple springs (two or three) co-axially installed inside the cylinder. Design of such balancing d
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Ploskikh, Viktor, and Konstantin Bulychenkov. "Building a Bulletproof System for Automatic MWD Survey Processing." In SPE Annual Technical Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210385-ms.

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Abstract This paper introduces an approach for automatic measurement while drilling (MWD) survey processing that can work fully autonomously and covers the entire workflow: geomagnetic reference calculation, survey data prefiltration, corrections for drillstring interference (DSI), bottom hole assembly (BHA) sag, Stockhausen effect (Stockhausen and Lesso 2003), system health monitoring, survey quality control (QC), and toolcode proposal. The main focus of this study is to formulate principles to realize high reliability of the system, and the reliability of all subalgorithms must be close to 1
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Neuhaus, Lars, Olaf Wiederhold, Wolfgang Neise, Lars Enghardt, Rudibert King, and Marius Swoboda. "Active Flow Control to Improve the Aerodynamic Performance of Axial Turbomachines." In ASME Turbo Expo 2009: Power for Land, Sea, and Air. ASMEDC, 2009. http://dx.doi.org/10.1115/gt2009-60008.

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Axial turbomachines have a radial gap between the casing and the rotor blades. The static pressure difference between the suction and the pressure side of the impeller blades produces a secondary flow over the tip of the rotor blades. This tip clearance flow is important for the aerodynamic performance of the fan. Fan pressure and efficiency drop, and the usable range of the performance characteristics is diminished as the rotor flow is stalled at low flow rates. Previous investigations have shown that one method for increasing the aerodynamic performance is to control the flow in the tip clea
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Reports on the topic "Static algorithm improvement"

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Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no
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Kelner, E., Darren George, Marybeth Nored, and Russell C. Burkey. NMCQ4YK Development of a Low Cost Inferential Natural Gas Energy Flow Rate Prototype Retrofit Module. Pipeline Research Council International, Inc. (PRCI), 2008. http://dx.doi.org/10.55274/r0011158.

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In 1998, a multi-year project to develop a working prototype instrument module for natural gas energy measurement was initiated. The module will be used to retrofit a natural gas custody transfer flow meter for energy measurement, at a cost an order of magnitude lower than a gas chromatograph. Development and evaluation of the prototype energy meter in 2002-2003 included: (1) refinement of the algorithm used to infer properties of the natural gas stream, such as heating value; (2) evaluation of potential sensing technologies for nitrogen content, improvements in carbon dioxide measurements, an
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O'Neill, Francis, Kristofer Lasko, and Elena Sava. Snow-covered region improvements to a support vector machine-based semi-automated land cover mapping decision support tool. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/45842.

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This work builds on the original semi-automated land cover mapping algorithm and quantifies improvements to class accuracy, analyzes the results, and conducts a more in-depth accuracy assessment in conjunction with test sites and the National Land Cover Database (NLCD). This algorithm uses support vector machines trained on data collected across the continental United States to generate a pre-trained model for inclusion into a decision support tool within ArcGIS Pro. Version 2 includes an additional snow cover class and accounts for snow cover effects within the other land cover classes. Overa
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Radvand, Tina, and Alireza Talebpour. A Quantum Optimization Algorithm for Optimal Electric Vehicle Charging Station Placement for Intercity Trips. Illinois Center for Transportation, 2024. https://doi.org/10.36501/0197-9191/24-028.

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Electric vehicles (EVs) play a significant role in enhancing the sustainability of transportation systems. However, their widespread adoption is hindered by inadequate public charging infrastructure, particularly to support long-distance travel. Identifying optimal charging station locations in large transportation networks presents a well-known NP-hard combinatorial optimization problem, as the search space grows exponentially with the number of potential charging station locations. This report introduces a quantum search-based optimization algorithm designed to enhance the efficiency of solv
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Yevtuch, Mykola B., Vasyl M. Fedorets, Oksana V. Klochko, Mariya P. Shyshkina, and Alla V. Dobryden. Development of the health-preserving competence of a physical education teacher on the basis of N. Bernstein's theory of movements construction using virtual reality technologies. CEUR Workshop Proceedings, 2021. http://dx.doi.org/10.31812/123456789/4634.

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The article studies the results of the research aimed at the improvement of the methodology of develop- ment of the health-preserving competence of a Physical Education teacher in conditions of post-graduate education on the basis of Nikolai Bernstein’s theory of movement construction using virtual reality technologies. Based on the use of AR/VR technologies a software application “Virtual Model Illustrating Nikolai Bernstein’s Theory of Movement Construction” was developed. The stated model is one of the tools of the “Methodology of development of the health preserving competence of a Physica
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Quarry, Mike. PR-462-143703-R01 Development and Evaluation of Guided Wave Structural Health Monitoring for Buried Pipe. Pipeline Research Council International, Inc. (PRCI), 2019. http://dx.doi.org/10.55274/r0011594.

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Excavations to inspect buried piping are often costly and risk damaging other plant assets during the digging. Some utilities have used permanently installed guided wave sensors to monitor piping condition and reduce the excavations. The project that is the subject of this report has two objectives-to evaluate the current state-of-the-art and to create a test bed for vendors to improve their technology and data analysis algorithms. Understanding the state-of-the-art will enable utilities to effectively use guided wave structural health monitoring in support of their underground piping aging ma
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Gattoni and Olsen. PR-179-10211-R01 Advanced Control Techniques and Sensors for Gas Engines with NSCR. Pipeline Research Council International, Inc. (PRCI), 2012. http://dx.doi.org/10.55274/r0010987.

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High exhaust emissions reduction efficiencies from a spark ignited (SI) internal combustion engine utilizing an NSCR catalyst system requires complex fuel control strategies. The allowable equivalence ratio operating range is very narrow where NSCR systems achieve high exhaust emissions reduction efficiencies of multiple species. Current fuel control technologies utilizing lambda sensor feedback are reported to be unable to sustain these demands for extended operation periods and when transients are introduced. Lambda sensor accuracy is the critical issue with current fuel controllers. The goa
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Yoel, David, Tina Sicilia, Matthew Bogaart, and Jeremy Fernandes. PR-417-203902-R01 Remote Sensing and Leak Detection Platform That Can Deploy Multiple Sensor Types. Pipeline Research Council International, Inc. (PRCI), 2024. http://dx.doi.org/10.55274/r0000052.

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The PRCI Project #417-203902 - ROW 3-1-A Final Report is attached for Member review and comment. The report includes a summary of all work completed in all Tasks which include: - Catalog, taxonomy, and sample data set for the threats detected. - Benchmarks of the sensitivity, accuracy, reliability, and robustness of an automated multi sensor, multi-threat detection and near real-time reporting comparing performance on conventional aircraft and UAS. - Technical synopsis for operators on integrating automated near real-time aerial threat reports into pipeline performance and safety improvement p
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Galili, Naftali, Roger P. Rohrbach, Itzhak Shmulevich, Yoram Fuchs, and Giora Zauberman. Non-Destructive Quality Sensing of High-Value Agricultural Commodities Through Response Analysis. United States Department of Agriculture, 1994. http://dx.doi.org/10.32747/1994.7570549.bard.

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The objectives of this project were to develop nondestructive methods for detection of internal properties and firmness of fruits and vegetables. One method was based on a soft piezoelectric film transducer developed in the Technion, for analysis of fruit response to low-energy excitation. The second method was a dot-matrix piezoelectric transducer of North Carolina State University, developed for contact-pressure analysis of fruit during impact. Two research teams, one in Israel and the other in North Carolina, coordinated their research effort according to the specific objectives of the proj
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