scholarly journals Effect of violin sound exposure with pressure level variation to green mustard (Brassica juncea L.) growth and productivity

2021 ◽  
Vol 782 (2) ◽  
pp. 022071
Author(s):  
J Prasetyo ◽  
Raju
Keyword(s):  
Brassica Juncea ◽  
Pressure Level ◽  
Level Variation ◽  
Sound Exposure

scholarly journals Empirical estimation of peak pressure level from sound exposure level. Part II: Offshore impact pile driving noise

2015 ◽  
Vol 138 (3) ◽  
pp. EL287-EL292 ◽  
Author(s):  
Tristan Lippert ◽  
Marta Galindo-Romero ◽  
Alexander N. Gavrilov ◽  
Otto von Estorff
Keyword(s):  
Peak Pressure ◽  
Pressure Level ◽  
Pile Driving ◽  
Exposure Level ◽  
Empirical Estimation ◽  
Sound Exposure

Contributions of Voice and Nonverbal Communication to Perceived Masculinity–Femininity for Cisgender and Transgender Communicators

2020 ◽  
Vol 63 (4) ◽  
pp. 931-947
Author(s):  
Teresa L. D. Hardy ◽  
Carol A. Boliek ◽  
Daniel Aalto ◽  
Justin Lewicke ◽  
Kristopher Wells ◽  
...  
Keyword(s):  
Fundamental Frequency ◽  
Sound Pressure Level ◽  
Sound Pressure ◽  
Vocal Tract ◽  
Presentation Mode ◽  
Pressure Level ◽  
Presentation Modes ◽  
Audiovisual Stimuli ◽  
Vocal Tract Resonance ◽  
Point Light

Purpose The purpose of this study was twofold: (a) to identify a set of communication-based predictors (including both acoustic and gestural variables) of masculinity–femininity ratings and (b) to explore differences in ratings between audio and audiovisual presentation modes for transgender and cisgender communicators. Method The voices and gestures of a group of cisgender men and women ( n = 10 of each) and transgender women ( n = 20) communicators were recorded while they recounted the story of a cartoon using acoustic and motion capture recording systems. A total of 17 acoustic and gestural variables were measured from these recordings. A group of observers ( n = 20) rated each communicator's masculinity–femininity based on 30- to 45-s samples of the cartoon description presented in three modes: audio, visual, and audio visual. Visual and audiovisual stimuli contained point light displays standardized for size. Ratings were made using a direct magnitude estimation scale without modulus. Communication-based predictors of masculinity–femininity ratings were identified using multiple regression, and analysis of variance was used to determine the effect of presentation mode on perceptual ratings. Results Fundamental frequency, average vowel formant, and sound pressure level were identified as significant predictors of masculinity–femininity ratings for these communicators. Communicators were rated significantly more feminine in the audio than the audiovisual mode and unreliably in the visual-only mode. Conclusions Both study purposes were met. Results support continued emphasis on fundamental frequency and vocal tract resonance in voice and communication modification training with transgender individuals and provide evidence for the potential benefit of modifying sound pressure level, especially when a masculine presentation is desired.

Influence of the Acoustic Reflex on Vowel Recognition

1986 ◽  
Vol 29 (3) ◽  
pp. 420-424 ◽  
Author(s):  
Michael Dorman ◽  
Ingrid Cedar ◽  
Maureen Hannley ◽  
Marjorie Leek ◽  
Julie Mapes Lindholm
Keyword(s):  
Auditory System ◽  
Sound Pressure ◽  
Dynamic Range ◽  
Recognition Accuracy ◽  
Pressure Level ◽  
Acoustic Reflex ◽  
The Poor ◽  
Stapedial Reflex ◽  
Vowel Recognition ◽  
High Sound

Computer synthesized vowels of 50- and 300-ms duration were presented to normal-hearing listeners at a moderate and high sound pressure level (SPL). Presentation at the high SPL resulted in poor recognition accuracy for vowels of a duration (50 ms) shorter than the latency of the acoustic stapedial reflex. Presentation level had no effect on recognition accuracy for vowels of sufficient duration (300 ms) to elicit the reflex. The poor recognition accuracy for the brief, high intensity vowels was significantly improved when the reflex was preactivated. These results demonstrate the importance of the acoustic reflex in extending the dynamic range of the auditory system for speech recognition.

Die GaterslebenerBrassica-Kollektion –Brassica juncea, B. napus, B. nigra undB. rapa

1992 ◽  
Vol 103 (7-8) ◽  
pp. 469-507 ◽  
Author(s):  
Th. Gladis ◽  
K. Hammer
Keyword(s):  
Brassica Juncea

Kekuatan Sambungan AL/CFRP Menggunakan Adhesif Epoksi/Serbuk-AL dengan Variasi Pressure Level

2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Bi Asngali
Keyword(s):  
Pressure Level ◽  
Lap Joint ◽  
Single Lap Joint ◽  
Al 2024

 Penelitian ini bertujuan untuk menyelidiki pengaruh pressure level terhadap kekuatan geser sambungan single lap joint (SLJ) antara Al 2024 dan CFRP dengan adesif epoksi/serbuk Al. Variasi pressure level yang digunakan adalah 0,6; 0,7; 0,8; 0,9 dan 1 MPa. Pembuatan dan pengujian spesimen uji geser mengacu pada ASTM D 1002. Hasil penelitian menunjukkan bahwa pressure level dapat meningkatkan kekuatan geser sambungan. Pada variabel pressure level terbaiknya yaitu 0,9 MPa menghasilkan kekuatan geser tertinggi (8,59 MPa). Pada kondisi tersebut, penampang patahan menunjukkan jenis kegagalan kombinasi antara kegagalan cohesive, light fiber tear dan fiber-tear.Kata kunci— pressure level; epoksi/serbuk-Al; kekuatan geser; single lap joint .

Variabilitas Genetik dan Heritabilitas Karakter Agronomi Galur-Galur Sawi (Brassica juncea L.)

2019 ◽  
Vol 3 (2) ◽  
pp. 73-83
Author(s):  
Raihan Fadhil Muhammad ◽  
Budi Waluyo
Keyword(s):  
Brassica Juncea ◽  
Seed Bank ◽  
Augmented Design

Penelitian ini bertujuan untuk mempelajari variabilitas genetik, heritabilitas, dan menyeleksi penampilan genotipe karakter agronomi unggul pada 57 galur sawi untuk digunakan dalam bahan baku konsumsi dan industri. Penelitian ini dilaksanakan di Seed Bank and Nursery, Agrotechno Park Universitas Brawijaya, Desa Jatikerto, Kecamatan Kromengan, Kabupaten Malang pada bulan Desember 2018 – April 2019. Metode yang digunakan untuk penelitian ini adalah rancangan acak kelompok diperluas (augmented design). Perlakuan yang diberikan adalah 60 genotipe sawi yang terdiri dari 57 genotipe yang diuji dan 3 varietas sebagai cek. Genotipe yang diuji akan disebar kedalam 5 blok, sedangkan tiga varietas cek akan ditanam pada setiap blok, sehingga terdapat 72 satuan percobaan. Variabel pengamatan karakter agronomi terdiri dari 15 karakter kualitatif dan 24 karakter kuantitatif. Variabilitas yang luas terdapat pada karakter biji per polong, jumlah polong per tanaman, dan berat segar. Heritabilitas tinggi terdapat pada karakter panjang kotiledon, jumlah daun konsumsi, berat segar, umur panen benih, jumlah polong per tanaman, panjang polong, lebar polong, dan jumlah biji per polong. Terdapat galur-galur sawi yang mempunyai karakter unggul untuk bahan baku konsumsi dan industri.

Estimation of Driver's Posture Using Body Pressure Level from Seat Belt

2010 ◽  
Vol 130 (12) ◽  
pp. 2118-2123
Author(s):  
Akihiro Imai ◽  
Naoki Tokitsu ◽  
Koji Oguri
Keyword(s):  
Seat Belt ◽  
Pressure Level

Characterization of Ischemic Stroke in CT Images using Image Processing

2017 ◽  
Vol 7 (9) ◽  
pp. 18
Author(s):  
Amal Alzain ◽  
Suhaib Alameen ◽  
Rani Elmaki ◽  
Mohamed E. M. Gar-Elnabi
Keyword(s):  
Ischemic Stroke ◽  
White Matter ◽  
Classification Accuracy ◽  
Ct Images ◽  
Gray Level ◽  
Level Variation ◽  
Interactive Data ◽  
The Brain ◽  
Brain Tissues

This study concern to characterize the brain tissues to ischemic stroke, gray matter, white matter and CSF using texture analysisto extract classification features from CT images. The First Order Statistic techniques included sevenfeatures. To find the gray level variation in CT images it complements the FOS features extracted from CT images withgray level in pixels and estimate the variation of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level of images. The results show that the Gray Level variation and   features give classification accuracy of ischemic stroke 97.6%, gray matter95.2%, white matter 97.3% and the CSF classification accuracy 98.0%. The overall classification accuracy of brain tissues 97.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate brain tissues names.

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