Reviewerly/exHarmony huggingface dataset:
Investigations into the acoustics of the mandolin

The mandolin is a descendent of the lute with a long history starting in 18th century Italy. This talk will give a brief history of the mandolin culminating in the modern flat-back mandolins used in bluegrass music. After a summary of previous research into its acoustics, we will describe our current research. This includes the use of Electronic Speckle Pattern Interferomentry (ESPI) to study the low-modes of the front and back plates and studies of the driving point impedance at the bridge. The mandolin has four courses of doubled strings tuned in unison. Inspired by Weinreich’s seminal study of piano strings, we explore the coupling of the strings’ motions to each other through their attachment to the vibrating bridge. By using a macro lens on a high-speed camera, we are able to study these motions in exquisite detail. We observe clear evidence of coupling including the exchange of energy between the vertical and horizontal motions of each string and correlations in the phases of their motions. We interpret the experimental results in the context of a theoretical model. [Work supported by the National Science Foundation under Grant No. 1707978.]
Poster: A Hierarchical VR Streaming System through a WiFi Connection

Consumer Virtual Reality (VR) has been widely used in various application areas, such as entertainment and medicine. In spite of the superb immersion experience, to enable high-quality VR on untethered mobile devices remains an extremely challenging task. The high bandwidth demands of VR streaming generally overburden a conventional wireless connection, which affects the user experience and in turn limits the usability of VR in practice. In this work, we propose a hierarchical VR streaming through a WiFi connection. This design stems from the insight that humans field of view (FoV) is hierarchical, so that different areas in the FoV can be served with VR content of different qualities. By exploiting the gaze tracking capacity of the VR devices, this system is able to accurately predict the users attention so that the streaming of hierarchical VR can be appropriately scheduled. In this way, our work significantly reduces the bandwidth cost while keeping high quality of user experience.
A Forward-Secure Certificate-Based Signature Scheme with Enhanced Security in the Standard Model

Leakage of secret keys may be the most devastating problem in public key cryptosystems because it means that all security guarantees are missing.The forward security mechanism allows users to update secret keys frequently without updating public keys.Meanwhile, it ensures that an attacker is unable to derive a user's secret keys for any past time, even if it compromises the user's current secret key.Therefore, it offers an effective cryptographic approach to address the private key leakage problem.As an extension of the forward security mechanism in certificate-based public key cryptography, forward-secure certificate-based signature (FS-CBS) has many appealing merits, such as no key escrow, no secure channel and implicit authentication.Until now, there is only one FS-CBS scheme that does not employ the random oracles.Unfortunately, our cryptanalysis indicates that the scheme is subject to the security vulnerability due to the existential forgery attack from the malicious CA.Our attack demonstrates that a CA can destroy its existential unforgeability by implanting trapdoors in system parameters without knowing the target user's secret key.Therefore, it is fair to say that to design a FS-CBS scheme secure against malicious CAs without lying random oracles is still an unsolved issue.To address this problem, we put forward an enhanced FS-CBS scheme without random oracles.Our FS-CBS scheme not only fixes the security weakness in the original scheme, but also significantly optimizes the scheme efficiency.In the standard model, we formally prove its security under the complexity assumption of the square computational Diffie-Hellman problem.In addition, the comparison with the original FS-CBS scheme shows that our scheme offers stronger security guarantee and enjoys better performance.
Pengembangan Media M-Learning Berbasis Aplikasi Android Pada Mata Pelajaran Ekonomi Siswa Kelas XI SMAN Colomadu Tahun Ajaran 2018-2019

This study aims to develop learning media Mobile Learning an Android-basedwith material national incomefor high school science XI students on specialization economics subjects and find out the feasibility of economic learning applications based on the assessment of media experts, material experts and opinions from students.This research is research and development (R & D) using the ADDIE development model. Types of data on quantitative data research and qualitative data. Validation was carried out by material experts, media experts, Colomadu Senior High School teachers. The developed media was tested on 36 5 science students and 36 Colomadu Public High School 6 students.The results of this study produce economic learning media products based on android applications on national income material economic subjects that have been declared feasible and can be used in the learning process based on the assessment of media experts, material experts and students. The assessment of material experts obtained an average of 4.4 with a percentage of 86.95% and was categorized as very feasible. The results of the assessment of media experts regarding the feasibility of economic learning media based on android applications obtained an average value of 4 with a percentage of 86.52% and included in the feasible category. While the results of the media feasibility assessment of the subjects of the trial product obtained an average of 3.8 with a percentage of 80.5% and included in the feasible category. While the assessment of the experimental test subjects obtained an average value of 4 with a percentage of 84.2% and entered the feasible category. So that it can be concluded that the economic learning media based on android application on economic subjects in national income materials has the feasibility to be used as a medium in the learning process.
Towards Effective Entity Extraction of Scientific Documents using Discriminative Linguistic Features

Named entity recognition (NER) is an important technique for improving the performance of data mining and big data analytics.In previous studies, NER systems have been employed to identify named-entities using statistical methods based on prior information or linguistic features; however, such methods are limited in that they are unable to recognize unregistered or unlearned objects.In this paper, a method is proposed to extract objects, such as technologies, theories, or person names, by analyzing the collocation relationship between certain words that simultaneously appear around specific words in the abstracts of academic journals.The method is executed as follows.First, the data is preprocessed using data cleaning and sentence detection to separate the text into single sentences.Then, part-of-speech (POS) tagging is applied to the individual sentences.After this, the appearance and collocation information of the other POS tags is analyzed, excluding the entity candidates, such as nouns.Finally, an entity recognition model is created based on analyzing and classifying the information in the sentences.
Speeding up Quantum Few-Body Calculation with Active Learning

In large-scale computation of physics problems, one often encounters the problem of determining a multi-dimensional function, which can be time-consuming when computing each point in this multi-dimensional space is already time-demanding. In the work, we propose that the active learning algorithm can speed up such calculations. The basic idea is to fit a multi-dimensional function by neural networks, and the key point is to make the of labeled data economically by using a stratagem called query by committee. We present the general protocol of this fitting scheme, as well as the procedure of how to further compute physical observables with the fitted functions. We show that this method can work well with two examples, which are quantum three-body problem in atomic physics and the anomalous Hall conductivity in condensed matter physics, respectively. In these examples, we show that one reaches an accuracy of few percent error for computing physical observables with less than $10\%$ of total data points compared with uniform sampling. With these two examples, we also visualize that by using the active learning algorithm, the required data are added mostly in the regime where the function varies most rapidly, which explains the mechanism for the efficiency of the algorithm. We expect broad applications of our method on various kind of computational physics problems.
Graduate studies in acoustics and wave physics at Institut d’Acoustique—Graduate School, Le Mans, France

This poster presents the graduate studies in Acoustics at Le Mans (France) offered at the Institut d’Acoustique—Graduate School. Graduate studies in Acoustics at Le Mans University have been awarded in 2018 the excellence label École Universitaire de Recherche among 28 other reference centers for all fields of Science, through a highly selective national call. Master and engineering school programs range from physical acoustics, environmental acoustics, acoustics and vibrations to international masters on electro-acoustics and on wave physics. The education through research is carried out at the LAUM, UMR CNRS, one of the largest acoustics laboratory in the world. Several details, objectives and contact informations on the graduates studies will be given on the poster.
Ranking the competency criteria for school principals based on the fuzzy method in the Education Department of Isfahan Province

Attention to school principals' managerial competencies and their development is an inescapable necessity, and failure to address these competencies in selecting principals leads to the loss of enormous financial and human resources as well as the dissatisfaction of the teachers and parents. The present study was conducted to explain and rank the competency criteria for school principals based on multiple fuzzy decision-making. This study has a combination exploratory design and is an applied study in terms of objectives and nature. A sample of 25 faculty members was selected for the interviews using network sampling and a random sample of 150 school principals was used for completing the managerial competencies questionnaire. To carry out the confirmatory analysis of variance, a random sample of 368 school principals was selected. The hierarchical structure of the competency criteria, including the main, individual, occupational and organisational criteria, 12 secondary criteria and 74 sub-criteria was then determined. Based on the final weight of the main criteria, occupational, individual and organisational competencies were ranked first to third.
Pengenalan Personal Menggunakan Citra Tampak Atas pada Lingkungan Cashierless Strore

Personal recognition with image processing techniques from the side view has the disadvantage of being applied to the cashierless store environment, namely inaccurate recognition or identification when personal collisions occur. To overcome this, the image capture method is used from the top-view. Personal recognition method through the top-view image using the Haar Cascade Classifier method. 1420 positive images and 2170 negative images are used to find features that are considered suitable for recognizing objects using the Adaptive Boosting (Adaboost) method. Tests were carried out on 100 test data by varying the parameters of min_neighbors (3.4, and 5) and the size of the dataset window (25x25, 35x35, 45x45 pixels). Personal recognition testing gets the highest accuracy of 89.9% with the parameters used are min_neighbors 5 and the size of the 25x25 pixel dataset in the detection parameter size of min_size 140x140 pixels.
Automatic Payload Signature Update System for the Classification of Dynamically Changing Internet Applications

The network environment is presently becoming very increased.Accordingly, the study of traffic classification for network management is becoming difficult.Automatic signature extraction system is a hot topic in the field of traffic classification research.However, existing automatic payload signature generation systems suffer problems such as semi-automatic system, generating of disposable signatures, generating of false-positive signatures and signatures are not kept up to date.Therefore, we provide a fully automatic signature update system that automatically performs all the processes, such as traffic collection, signature generation, signature management and signature verification.The step of traffic collection automatically collects ground-truth traffic through the traffic measurement agent (TMA) and traffic management server (TMS).The step of signature management removes unnecessary signatures.The step of signature generation generates new signatures.Finally, the step of signature verification removes the false-positive signatures.The proposed system can solve the problems of existing systems.The result of this system to a campus network showed that, in the case of four applications, high recall values and low false-positive rates can be maintained.
How are Conceptual Models used in Industrial Software Development? A Descriptive Survey.

Background: There is a controversy about relevance, role, and utility of models, modeling, and modeling languages in industry. For instance, while some consider UML as lingua franca of software engineering, others claim that the majority1 [of industry practitioners] simply do not use UML.Objective: We aspire to evolve this debate to differentiate circumstances of modeling, and degrees of formality of models. Method: We have conducted an online survey among industry practitioners and asked them how and for what purposes they use models. The raw (anonymized) survey data is published online.Results: We find that models are widely used in industry, and UML is indeed leading language. Three distinct usage modes of models are reported, most frequent of which is informal usage for communication and cognition. MDE-style usage is rare, but does occur. Software architects are believed to benefit most from modeling.Conclusions: Our study contrasts and complements existing studies, and offers explanations for some of seeming contradictions of previous results. There might be cultural differences in modeling usage that are worth exploring in future.
Lewis center for the arts at Princeton University

The opening of Princeton’s Lewis Center for the Arts in the Fall 2017 provided much needed performance and teaching spaces for the Theatre, Dance and Music programs at Princeton University, including an acoustically isolated orchestral rehearsal room, black box theater, dance theater, dance and acting studios, and music practice rooms individually hung from the roof slab above. Achieving the right balance of aural connectivity and sound isolation was an important part of the design, ensuring the Center feels vibrant and alive, while allowing teaching, rehearsal and performance to occur without disturbance. A key component to this work was the use of the Arup Soundlab, used to simulate the predicted acoustic environment within the music, drama and dance spaces, allowing the Princeton faculty and administration to listen to these spaces, and through discussion with Arup and architects from Steven Holl and BNIM, make informed decisions on the acoustic requirements for the design.
Dense clutter multi-target tracking algorithm based on improved fuzzy clustering data association

In order to improve the accuracy and rapidity of multi-target tracking in clutter environment, the fuzzy clustering algorithm is used to obtain the relative degrees of different measurement target memberships, and the fuzzy correlation probabilities of measurement values and targets are calculated in combination with public measurement influence factors.Then using fuzzy association information combined with Kalman filtering, each target is separately tracked through the weighted fusion method to achieve the state update of the target.The simulation results show that the combination of fuzzy clustering and joint probability data improves the fastness of the target clustering in the relatively dense environment of clutter, and the accuracy of the target tracking is ensured by the combination of Kalman filter and the weighting of the influence factor.
The effect of axial vibrations on the input impedance of the trumpet

It has been shown that the vibrations in the bell section of the trumpet can influence the sound produced by the instrument. Recent research has indicated that these effects may be traced the axial vibrations of the bell. We report experimental results that relate the input impedance of the trumpet to the phase of externally induced longitudinal motion. These results indicate that the phase difference between the driver and the bell motion can significantly affect the input impedance. [Work supported by NSF Grant #PHY-160749.]
A Secure Exchange Technique for Secret Information and Encryption Key Using Hybrid System

Due to the growth of transferring and sharing information between entities, an efficient security model is needed to protect secret information while storing or transferring over unsecured network systems. Symmetric cryptography algorithms could be used to secure information; they are immune from many kinds of attack but their main weakness is the exchanging for the secret key. In this paper, a hybrid system that combines steganography, cryptography, and data hiding techniques has been used to secure the secret information while transmitting over the Internet and to maintain a safe exchange for the encryption key between the transmitter and the receiver. In order to hide the secret information into the cover image, a simple technique that represents the steganography algorithm has been used. It does bit-by-bit Xoring between the secret information and the cover image in order to get the steganography image. For cryptography the algorithm MJEA (for Modified Jamal Encryption Algorithm) has been used; it is a symmetric block encryption algorithm with 64-bit block size and 120-bit key size. This algorithm is used to encrypt the steganography image. The performance of the proposed technique has been evaluated by adopting different simulation metrics such as visual testing and histogram analysis. All results ensure the strength of the proposed system in securing the secret information as well as providing a safe distribution for the encryption key between the communicating parties.
Generating ultrasonic acoustic holograms with circular arrays

Acoustic holograms are formed by interfering multiple sonic sources of identical frequency and differing phase. By using ultrasonic transducers, three-dimensional printed arrays, and an iterative approximation algorithm, it is possible to computer generate holographic arrays at 40 kHz in different configurations. By using circular arrays, I am able to explore vortex generation in an ultrasonic with a cost-effective desktop setup. These holograms can be measured and plotted using another transceiver. I also am able to make predictions about how to best optimize the designs for a circular array. This research opens up questions to be explored with even more powerful setups.
Missouri State University—Ellis Hall

Missouri State University Ellis Hall is a 1957 modernist building originally designed for the music department. The building was mostly untouched over the years, despite poor sound isolation and unremarkable, undersized performance spaces. Kirkegaard worked closely with Patterhn Ives on a comprehensive renovation that included replacing the building mechanical systems and much of its exterior curtain wall. The interior is a virtual gut/rehabilitation, but wherever possible existing walls were incorporated into new sound-isolating assemblies to avoid unnecessary expense. The substantial scale of the project compared to the very limited budget required the design team to find carefully calibrated solutions for what to reuse and what to replace. One of the greatest challenges was to provide an acoustic superior recital hall, a goal that the School of Music emphasized as critical to the future of their program, from a renovation of the low-ceilinged existing recital hall. The solution was to demolish the hall's floor slab to capture the room volume from an under-used rehearsal room below, while preserving the upstage pipe organ and a handsome wood side wall. The result is a very successful new 240 seat recital hall in the shell of the old hall.
The Effectiveness of MALT on Vocational College English Teaching

With the fast development of modern information technology, mobile terminals and their applications, an increasingly number of teachers come to realize it may be probable to improve teaching quality by using mobile terminals. However, there is no solid data so far in literature that support the effectiveness of MALT (Mobile Assisted Language Teaching). Therefore, this article is dedicated to prove its effectiveness on vocational college English teaching using Moso Teach as a platform. It is found that MALT has effectively improved teaching quality. The students who used Moso Teach more have achieved greater progress. But poor students are not active in using the mobile teaching platform. As a result, it is suggested that teachers should integrate MALT in their English teaching on condition that teaching is carefully designed, and teachers should try to help poor students change their attitudes toward using mobile teaching platforms.
The invasion of psychoacoustics by inferential statistics

The basic results that form the psychoacoustic foundation of our current knowledge of auditory perception, collected over nearly 50 years, were generated without any use of null-hypothesis significance testing (inferential statistics). The common use of inferential statistics in psychoacoustic articles published in JASA did not occur until the 1980s. Yet, today it is almost impossible to publish a psychoacoustic article in JASA, or anywhere else, without using inferential statistics. In addition, recent controversies concerning replication in the social and behavioral sciences are beginning to encroach on the field of psychoacoustics. In this presentation, a case will be made that several elements of the experimental design inherent to many, if not most, psychoacoustic experiments often make the use of inferential statistics unnecessary. These aspects (many derived from the framework of the Theory of Signal Detection) include careful experimental control of stimuli and response acquisition, ratio-scale measurements, experienced subjects, large number of trials per subject, within-subject (repeated measures) experimental design, and strong theoretical context (e.g., an ideal observer). Some scenarios of experimental design and data presentation will be considered, suggesting that inferential statistical analysis might not be needed in some psychoacoustic research. [Work supported by NIDCD and Facebook Reality Labs.]