GigaRad – a multi-purpose high-resolution ground-based radar – system concept, error correction strategies and performance verification

In Middle school, spoken language is paid less attention to by the teacher, which causes many students cannot recognize whether they have made mistakes in pronunciation. It’s inevitable for students to have errors in speaking. However, the teacher should take proper measures to correct students’ errors and cannot ignore them based on teaching objectives and the severity of errors. This study takes the method of specific case analysis and error analysis. The paper introduces the types and source of errors, the principles of error correction and strategies for error correction in English class.

According to the Compulsory Education English Curriculum Standard (2022), senior high school students are encouraged to actively speak English in English in and out of the class. Teachers' inappropriate error correction methods will increase students' English-speaking anxiety and reduce their enthusiasm for oral English learning. Based on Affective Filter Hypothesis, this study uses Foreign Language Speaking Anxiety Self-Schema (FLSAS) as the measuring tool, and try to find out the attitude of students toward oral error correction in English classes and to what extent do gender and personality affect this attitude. The subjects were 130 students from ten parallel classes in senior 2 of Shijiazhuang Foreign Language School. The instruments of quantitative study consisted of one questionnaire, with a total of 17 items used to investigate students English-speaking anxiety. 130 valid questionnaires were collected, and then the data collected from the questionnaires were further analyzed by SPSS, by which the results have shown that different personalities have relative influence on students attitudes toward oral error correction in English classes. Discussions about error correction strategies that teachers can adopt are put forward based on the results.

The potential advantages of volume optical storage were recognized almost 30 years ago, and since that time many research efforts have focused on improving the underlying materials and devices for use in such systems. Recent progress in these supporting technologies has made possible several systemlevel demonstrations of volume optical storage. These recent demonstrations have verified the feasibility of volume memory systems for offering large volumetric storage capacities, fast access times, and very high data transfer rates realized via the parallel two-dimensional (2-D) nature of the stored data. The success of these volume storage testbeds has served to ignite additional research into supporting two-dimensional or page-oriented interface technologies such as parallel 2-D data detection and error correction [1–14]. This application therefore provides a strong impetus to study traditional communication theoretic topics such as signaling, equalization, and coding in the context of highly parallel 2-D channels. In this chapter we will focus specifically on 2-D interleaving and error correction strategies and their impact on the capacity of volume holographic memory (VHM).KeywordsError CorrectionCode WordHolographic Data StorageHolographic StorageHolographic Data Storage SystemThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

All digital television broadcast schemes require some form of forward error correction. Trellis coded modulation and Reed-Solomon (RS) codes are two of the most commonly used error correction strategies. While RS codes have been used for a fairly long time in various applications and are well understood, use of trellis coded modulation has been restricted mostly to telephone modems. We explain the principles of trellis coded modulation and how trellis codes can be chosen as part of the error correction strategy for digital television broadcasting. A variety of coding and interleaving schemes that can be used to obtain the desired performance for compressed TV signal transmission is discussed. The nature of the terrestrial channel and the system performance requirements for a high definition television (HDTV) system are described, including a coding strategy called concatenated coding. >

Teaching-learning-based optimization (TLBO) algorithm is a novel heuristic method which simulates the teaching-learning phenomenon of a classroom. However, in the later period of evolution of the TLBO algorithm, the lower exploitation ability and the smaller scope of solutions led to the poor results. To address this issue, this paper proposes a novel version of TLBO that is augmented with error correction strategy and Cauchy distribution (ECTLBO) in which Cauchy distribution is utilized to expand the searching space and error correction to avoid detours to achieve more accurate solutions. The experimental results verify that the ECTLBO algorithm has overall better performance than various versions of TLBO and is very competitive with respect to other nine original intelligence optimization algorithms. Finally, the ECTLBO algorithm is also applied to path planning of unmanned aerial vehicle (UAV), and the promising results show the applicability of the ECTLBO algorithm for problem-solving.

This study aimed to unravel the relationship between error correction strategies and writing competency of students. There were 120 Humanities and Social Sciences senior high school students from three different schools in Davao City who were chosen as respondents using a purposive sampling technique. The students were asked to write a 10-sentence essay, 60 of which were corrected using Selective Direct Feedback and the other half with Selective Indirect Feedback. The researcher sought help from interraters who used a 5-point rubric in checking three areas of grammar: subject-verb agreement, tenses, and connectives. Three statistical tools were used: Mean Scores, T-test for dependent samples, and T-test for independent samples. Results revealed that before the use of the two strategies in the first set of output there were several errors in the written outputs, In the second set, after the use of the Selective Direct Feedback and Selective Indirect Feedback, there were fewer errors found in the essay. However, the reductions in errors were not significantly different between the two feedback methods.

A novel two-stage seasonal grey model for residential electricity consumption forecasting

Quantum machine learning (QML) is an emerging field that promises advantages such as faster training, improved reliability and superior feature extraction over classical counterparts. However, its implementation on quantum hardware is challenging due to the noise inherent in these systems, necessitating the use of quantum error correction (QEC) codes. Current QML research remains primarily theoretical, often assuming noise-free environments and offering little insight into the integration of QEC with QML implementations. To address this, we investigate the performance of a simple, parity-classifying Variational Quantum Classifier (VQC) implemented with the [[4,2,2]] error-detecting stabiliser code in a simulated noisy environment. To our knowledge, this is the first implementation of a stabiliser-based error detection code to a QML algorithm. We invoke ancilla qubits to logically encode rotation gates, and classically simulate the logically-encoded VQC under two simple noise models representing gate noise and environmental noise. We demonstrate that the stabiliser code improves the training accuracy at convergence compared to noisy implementations without error detection. However, we find that the effectiveness and reliability of error detection is contingent upon keeping the ancilla qubit error rates below a specific threshold, due to the propagation of ancilla errors to the physical qubits. Our results provide an important insight that extends to QML implemented with full error-correction: when the QEC code requires ancilla qubits for logical rotations but cannot fully correct errors propagated between ancilla and physical qubits, the maximum achievable accuracy of the QML model is constrained. This highlights the need for additional error correction or mitigation strategies to support the practical implementation of QML algorithms with QEC on quantum devices.

Multi-step-ahead electricity load forecasting using a novel hybrid architecture with decomposition-based error correction strategy

Do justices on the United States Supreme Court pursue strategies in their certiorari voting? We inspected seven terms from the Vinson, Warren, and Burger Courts and discovered that the justices use the error correcting, prediction, and majority strategies, particularly when the strategies are consistent with each other. Such use is not indiscriminate but usually is tempered by the presence of adverse conditions. We also investigated the error correcting and prediction strategies through the focus of liberal and conservative justices in liberal and conservative courts. These two strategies and their combination work best for conservative justices in conservative courts. Liberal justices in liberal courts are substantially more grant prone than conservative justices in conservative courts.

This paper describes our submission to the MEDIQA-CORR 2024 shared task for automatically detecting and correcting medical errors in clinical notes.We report results for three methods of few-shot In-Context Learning (ICL) augmented with Chain-of-Thought (CoT) and reason prompts using a large language model (LLM).In the first method, we manually analyse a subset of train and validation dataset to infer three CoT prompts by examining error types in the clinical notes.In the second method, we utilise the training dataset to prompt the LLM to deduce reasons about their correctness or incorrectness.The constructed CoTs and reasons are then augmented with ICL examples to solve the tasks of error detection, span identification, and error correction.Finally, we combine the two methods using a rule-based ensemble method.Across the three sub-tasks, our ensemble method achieves a ranking of 3rd for both sub-task 1 and 2, while securing 7th place in sub-task 3 among all submissions.

ADCs have always been bottlenecks in electronic systems. Currently, ADCs are often integrated on a semiconductor substrate with other mixed-signal circuits. This creates a need for clever strategies for error measurement and correction. This paper describes an analytical method which allows implementation of the necessary test on-cell. The main requirement is to produce a high-quality sine wave on the board. The parameters of this effective resolution measurement procedure can be easily (in real time) accumulated by typical digital circuitry.

The desirable use of Field-Programmable Gate Arrays (FPGAs) in aerospace & defense field has become a general consensus among IC and embedded system designers. Radiation-hardened (rad-hard) electronics used in this domain is regulated under severe and complex political and commercial treaties. In order to refrain from these undesired political and commercial barriers COTS FPGAs (despite the fact of their low reliability) have been considered as a promising alternative to replace rad-hard ICs. Moreover, SRAM-based FPGAs are pretermitted with respect to flash or anti-fuse devices. In this scenario, this paper analyses, by means of heavy-ion accelerator experiments, the Single-Event Upset (SEU) tolerance of the Microsemi ProAsic3E A3PE1500 COTS FPGA. This component is under pre-qualification process for use in some satellites of the Brazilian Space Program. Preliminary results are herein briefly presented and discussed. These experimental results allow us to consider this component as a strong candidate to replace rad-hard FPGAs, if its use is combined with strict system-level fault-tolerant strategies for error detection and correction.

In global communication, foreign language learning has gained increasing importance. Effective language use requires the development of four core skills (listening, reading, writing, speaking) and adequate knowledge of grammar and vocabulary. Numerous instructional methods have emerged over time, the communicative approach has proven particularly effective due to its emphasis on authentic interaction and real-life language use. These skills must therefore be cultivated in an integrated and mutually reinforcing manner. This article examines scholarly perspectives on communicative approach and highlights the role of present-day resources, pedagogical competence, technology, and innovative practices in today's educational settings. This article is based on data and findings obtained from surveys conducted in schools in Azerbaijan, EU countries, and Turkey. Educational tools include authentic materials, textbooks, visual aids, games, and role-play scenarios that promote communication and cultural awareness. Technical resources encompass audio and video materials, language learning software, interactive whiteboards, online collaboration platforms, and recording tools, all of which facilitate listening, speaking, and interactive practice. Pedagogical resources involve task-based learning activities, dialogue scripts, error correction strategies, communicative assessments, and cultural materials, supporting learners’ functional language competence. Integrating these resources ensures authentic, interactive, and contextually meaningful language learning experiences, fostering both linguistic and communicative competence.

Discrete trial training is a commonly used to teach children with autism spectrum disorder and related intellectual disabilities. A number of prompting and error correction strategies can be implemented when using discrete trial training. These strategies need to be effective and efficient. We compared a novel procedure, responsive prompt delay, to most to least prompting and no‐no prompting. A parallel treatments design, nestled in a modified multiple probe design (Horner & Baer, 1978), was used to compare the three procedures with three participants. The responsive prompt delay procedure was at least as effective as the most to least prompting and no‐no prompting procedures for three participants; the time required for each participant to master the skills was variable across procedures.