Konversi Empiris Summary Magnitude, Local Magnitude, Body-Wave Magnitude, Surface Magnitude, dan Moment Magnitude Menggunakan Data Gempabumi 1922-2020 di Nusa Tenggara Barat

The existence of magnitude type variation from existing earthquake catalogue sources show that uniforming process is necessary. Beside that these type of magnitude will saturates in certain value, which are different with moment magnitude (Mw) which is not saturated and can describe earthquake process better. Our research initially did compatibility test between summary magnitude which is largely used by BMKG with other magnitude type. Furthermore, the purpose of our research is determination of empirical relation between magnitude type summary magnitude (M), local magnitude (ML), body-wave magnitude (mb), dan surface magnitude (Ms) which are usually used by earthquake catalogues to Mw. Method used in this research is linear regression using data set from BMKG, ISC-EHB, USGS, and Global CMT catalogues with are limited in West Nusa Tenggara and surrounding area. Data used in this research contains of 24.703 earthquake events during period May 9th 1922 until June 27th 2020. The result of this research shows there was good relation between M magnitude type with others magnitude type. Our research also found a conversion formula of M, ML, MLv, mb, and Ms to Mw with well-defined correlation

POST-ADOPTION REUNION: A SOUTH AFRICAN PERSPECTIVE

This article explores the adoptee 's desire for and experience of reunion with the birth mother, from within a psychoanalytic framework and within the South African contat. The study was conducted from within a non-probability framework and is an empirical, ethnographic study with a predominantly qualitative, inductive approach, which is exploratory and descriptive in nature. The quantitative research provides width to the in-depth, qualitative data and takes the form of a content analysis of the adoption register of a Cape Town-based adoption agency. The quantitative aspect of the study employed an in-depth, face-to-face, unstructured interviewing technique, followed by an interview schedule. The qualitative sampl is comprised of 8 adult adoptees, who experienced face-to-face reunion with the birth mother, while the quantitative sample is comprised of 207 contacts in the post-adoption register of Cape Town Child Welfare between 1989 and 1995. The conclusion drawn from the study is that the adoptee's desire for reunion is a health-promoting process, which is motivated by both external, social factors as well as intrapsychic forces. The process of reunion enables the adoptee t o estab!ish a new sense of stelf, and assists in placing the adoptee within an historical and biological narrative.  The adoptee, whilst seeking to reclaim the 'lost object', does so as a means of reclaiming and completing the self, the development of which was disturbed as a result of premature interruption of the primary infant-mother bond. The value of reunion does not lie in the "success" or outcome of the reunion, but in the process or personal "journey" of the adoptee

SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale

End-to-end automatic speech recognition systems represent the state of the art, but they rely on thousands of hours of manually annotated speech for training, as well as heavyweight computation for inference. Of course, this impedes commercialization since most companies lack vast human and computational resources. In this paper, we explore training and deploying an ASR system in the label-scarce, compute-limited setting. To reduce human labor, we use a third-party ASR system as a weak supervision source, supplemented with labeling functions derived from implicit user feedback. To accelerate inference, we propose to route production-time queries across a pool of CUDA graphs of varying input lengths, the distribution of which best matches the traffic's. Compared to our third-party ASR, we achieve a relative improvement in word-error rate of 8% and a speedup of 600%. Our system, called SpeechNet, currently serves 12 million queries per day on our voice-enabled smart television. To our knowledge, this is the first time a large-scale, Wav2vec-based deployment has been described in the academic literature.Comment: Accepted to EMNLP 2022 Industry Track; 9 pages, 7 figure

AUTHORS' INDEX

.