170 research outputs found

    Fireball/Blastwave Model and Soft Gamma-ray Repeaters

    Full text link
    Soft gamma-ray repeaters are at determined distances and their positions are known accurately. If observed, afterglows from their soft gamma-ray bursts will provide important clues to the study of the so called "classical gamma-ray bursts". On applying the popular fireball/blastwave model of classical gamma-ray bursts to soft gamma-ray repeaters, it is found that their X-ray and optical afterglows are detectable. Monitoring of the three repeaters is solicited.Comment: Already published in 1998 in "Chinese Physics Letters", replaced with the published version. See astro-ph/0502452 for a more detailed versio

    Geographical Origin Traceability of Red Wines Based on Chemometric Classification via Organic Acid Profiles

    Get PDF
    A preliminary study on the chemometric classification of red wines produced from different grape varieties and geographical origins was performed based on their chromatographic profiles of organic acids. Tartaric, malic, citric, lactic, acetic, and succinic acids in wines were detected via high performance liquid chromatography (HPLC). Employing multivariate statistical methods including principal component analysis (PCA) and linear discriminant analysis (LDA), pattern recognition models were built for the classification of the investigated wines regarding the grape varieties and geographical origins. The PCA clearly grouped the wines according to variety, and the LDA further offered 100% classification ability toward geographical identification of the wines and the leave-one-out cross-validated assignments were 100%, 86.7%, and 100% correct for Cabernet Sauvignon, Merlot, and Pinot Noir wines, respectively. The results reveal the potential of using chromatographic profiles of organic acid as the characteristic indices for chemometric classification of red wines

    Full velocities and propagation directions of coronal mass ejections inferred from simultaneous full-disk imaging and Sun-as-a-star spectroscopic observations

    Full text link
    Coronal mass ejections (CMEs) are violent ejections of magnetized plasma from the Sun, which can trigger geomagnetic storms, endanger satellite operations and destroy electrical infrastructures on the Earth. After systematically searching Sun-as-a-star spectra observed by the Extreme-ultraviolet Variability Experiment (EVE) onboard the Solar Dynamics Observatory (SDO) from May 2010 to May 2022, we identified eight CMEs associated with flares and filament eruptions by analyzing the blue-wing asymmetry of the O III 52.58 nm line profiles. Combined with images simultaneously taken by the 30.4 nm channel of the Atmospheric Imaging Assembly onboard SDO, the full velocity and propagation direction for each of the eight CMEs are derived. We find a strong correlation between geomagnetic indices (Kp and Dst) and the angle between the CME propagation direction and the Sun-Earth line, suggesting that Sun-as-a-star spectroscopic observations at EUV wavelengths can potentially help to improve the prediction accuracy of the geoeffectiveness of CMEs. Moreover, an analysis of synthesized long-exposure Sun-as-a-star spectra implies that it is possible to detect CMEs from other stars through blue-wing asymmetries or blueshifts of spectral lines.Comment: Accepted by Ap

    Synthesizing Speech Test Cases with Text-to-Speech? An Empirical Study on the False Alarms in Automated Speech Recognition Testing

    Full text link
    Recent studies have proposed the use of Text-To-Speech (TTS) systems to automatically synthesise speech test cases on a scale and uncover a large number of failures in ASR systems. However, the failures uncovered by synthetic test cases may not reflect the actual performance of an ASR system when it transcribes human audio, which we refer to as false alarms. Given a failed test case synthesised from TTS systems, which consists of TTS-generated audio and the corresponding ground truth text, we feed the human audio stating the same text to an ASR system. If human audio can be correctly transcribed, an instance of a false alarm is detected. In this study, we investigate false alarm occurrences in five popular ASR systems using synthetic audio generated from four TTS systems and human audio obtained from two commonly used datasets. Our results show that the least number of false alarms is identified when testing Deepspeech, and the number of false alarms is the highest when testing Wav2vec2. On average, false alarm rates range from 21% to 34% in all five ASR systems. Among the TTS systems used, Google TTS produces the least number of false alarms (17%), and Espeak TTS produces the highest number of false alarms (32%) among the four TTS systems. Additionally, we build a false alarm estimator that flags potential false alarms, which achieves promising results: a precision of 98.3%, a recall of 96.4%, an accuracy of 98.5%, and an F1 score of 97.3%. Our study provides insight into the appropriate selection of TTS systems to generate high-quality speech to test ASR systems. Additionally, a false alarm estimator can be a way to minimise the impact of false alarms and help developers choose suitable test inputs when evaluating ASR systems. The source code used in this paper is publicly available on GitHub at https://github.com/julianyonghao/FAinASRtest.Comment: 12 pages, Accepted at ISSTA202

    Overall Evolution of Realistic Gamma-ray Burst Remnant and Its Afterglow

    Get PDF
    Conventional dynamic model of gamma-ray burst remnants is found to be incorrect for adiabatic blastwaves during the non-relativistic phase. A new model is derived, which is shown to be correct for both radiative and adiabatic blastwaves during both ultra-relativistic and non-relativistic phase. Our model also takes the evolution of the radiative efficiency into account. The importance of the transition from the ultra-relativistic phase to the non-relativistic phase is stressed.Comment: 9 pages, aasms4 style, 3 ps figures, minor changes, will be published in Chin. Phys. Let

    The Datasets of human and AI translation

    Get PDF
    The datasets outline a methodical approach for comparing translations from Mandarin to Malay completed by humans and AI. The datasets contain a framework with rubrics for a keyword detection template to discover common words used by both humans and AI in their translation tasks. The datasets include a Mandarin poem originally written in Mandarin, along with translations by a belt-and-road project translator, a Mandarin native speaker translator, and a Malay native speaker translator categorised as human translators. It also contains translations by ChatGPT 3.5 with 1 prompt, and ChatGPT 4.0 with four different prompts. All these prompts are also listed in the dataset

    Serological survey of Aujeszkys disease in Peninsular Malaysia in 2016

    Get PDF
    Aujeszky’s disease (AD) is a common swine disease that widespread throughout the world. The symptoms include nervous signs, respiration and reproduction problems that lead to great economic losses to the industry. AD is endemic in Malaysia, where outbreaks had been reported in previous years. In Malaysia, approximately 95% of the pig farms are vaccinated for AD. Despite the regular vaccination, AD serological status remains unknown in this country. This study provides AD serological status in Peninsular Malaysia in 2016 based on the samples submitted to Faculty of Veterinary Medicine, University Putra Malaysia (UPM). A total of 1154 serum samples from 36 farms were submitted for AD ELISA diagnostic test; grouped as 8 weeks, 12 weeks, 16 weeks, 20 weeks, gilts and sows with different parity. The samples were subjected to AD antibody detection with IDEXX Pseudorabies Virus gpI Antibody Test Kit. Among the 36 farms submitted to UPM, 8 farms were detected with positive gI antibody indicated that these farms were still facing challenges from AD field virus. Among these eight seropositive farms, three farms were having seroprevalence in the range of 33.33% to 37.14%. In general, vaccination of AD is ideal and stable in Malaysia but we still need to be alert with the field challenge as it will be a threat to the industry

    DESIGN, ENGINEERING, AND ASSESSMENT OF MOBILE MINEFIELDS

    Get PDF
    Naval mine warfare typically supports a sea denial strategy through the denial and/or delay of the enemy’s use of the water space or by controlling sea traffic in a designated area. Sea mines have been effective for decades. However, with technological progress, mine countermeasure (MCM) efforts have reduced the risks of a minefield by detecting and/or neutralizing mines to establish and maintain a Q-route for safe passage. The concept of a mobile minefield is proposed to increase the difficulty of the enemy’s MCM and improve the survivability of the minefield by adding mobility. This research explores both the physical design concepts and the operational effectiveness of mobile mines based on simulations and models. The simulation results show that, compared to static mines, mobile mines improved the number of enemy ships destroyed by at least 200% and increased the time it took the enemy to transition through the minefield by 50%. The results suggest that the mobile minefield would be operationally useful for the Department of the Navy and this technology is worth pursing and exploring.Distribution Statement A. Approved for public release: Distribution is unlimited.Captain, Singapore ArmyCaptain, Singapore ArmyMajor, Singapore ArmyLieutenant, Taiwan NavyMajor, United States ArmyCivilian, Department of the NavyLieutenant, United States NavyCivilian, Singapore Technologies Engineering, SingaporeMajor, Singapore ArmyMajor, Singapore ArmyMajor, Singapore ArmyCommander, United States NavyCivilian, Defense Science and Technology Agency (DSTA), SingaporeMajor, Singapore ArmyMajor, Republic of Singapore Air ForceTenente-Coronel, Brazilian Air ForceLieutenant, United States NavyCivilian, Department of the ArmyMajor, Singapore ArmyMajor, Israel Defense ForcesCivilian, Defense Science Organisation, SingaporeCaptain, Singapore Arm
    corecore