Reviewerly/exHarmony huggingface dataset:
A platform for performance phase II: Evaluations of the structurally transmitted energy of the cello/performer system

Stringed instruments such as the cello have been evaluated extensively from structural and acoustical perspectives, but the riser on which a cello sits has until recently been overlooked. This riser becomes acoustically coupled and can play a productive or counterproductive role in its acoustic projection. The cellist’s performance is understood to be enriched and enhanced by this piece of furniture, and this second installment in a two-part study further investigates the mechanical interaction between the musician, instrument, and supporting surface. This was accomplished by measuring the energy transmitted through five points of interface including the performer’s heel, toe, front and rear legs of the chair, and endpin of the instrument. Results of the relative amplitude and frequency response of the structurally transmitted sound at these points, using five different performers, two performance techniques, and the full range of the instrument, will be presented.
A robust Correlation Filter based tracker with rich representation and a relocation component

Correlation Filter was recently demonstrated to have good characteristics in the field of video object tracking.The advantages of Correlation Filter based trackers are reflected in the high accuracy and robustness it provides while maintaining a high speed.However, there are still some necessary improvements that should be made.First, most trackers cannot handle multi-scale problems.To solve this problem, our algorithm combines position estimation with scale estimation.The difference from the traditional method in regard to the scale estimation is that, the proposed method can track the scale of the object more quickly and effective.Additionally, in the feature extraction module, the feature representation of traditional algorithms is relatively simple, and furthermore, the tracking performance is easily affected in complex scenarios.In this paper, we design a novel and powerful feature that can significantly improve the tracking performance.Finally, traditional trackers often suffer from model drift, which is caused by occlusion and other complex scenarios.We introduce a relocation component to detect object at other locations such as the secondary peak of the response map.It partly alleviates the model drift problem.
Effects of a Synthetic Clarinet Bore Liner on Spectral Centroid and Fundamental Frequency Error

Throughout their relatively short history, various materials have been used to construct clarinets. While wood is the most common material used for modern professional clarinets, other materials have been and continue to be used, including synthetic materials. Despite the availability and accessibility of these materials, professional musicians rarely use instruments made from synthetics, insisting that their wooden counterparts produce superior results. Numerous studies have found the energy radiated directly by rigid cylindrical vibrating tubes to be both insignificant and have little to no effect on an internal vibrating air column. Using real instruments played by musicians, the present study compared a prototype clarinet upper joint with a synthetic bore liner produced by French instrument maker Henri Selmer Paris to two unlined, solid wood clarinets of the same make and model by examining two acoustical parameters. Spectral centroid and fundamental frequency f 0 pitch error were measured for 45 notes (written E3-C7), performed by five accomplished clarinetists unaware of which instrument they were playing. Consistent with findings from other researchers, the particular instrument had no significant effect on spectral centroid. Meanwhile, although a significant effect of the instrument on f 0 pitch error was found, pairwise comparisons suggest non-significant effects from the lined joint.
Effect of hammershank material properties on piano struck string sound

The purpose of this study was to investigate the effects of the hammershank material properties of a piano action assembly on the sound produced by the struck string. Using a standard birch hammershank as a baseline, a CAD drawing was developed from which several test hammershanks were fabricated. Alternate woods such as poplar and red oak, as well as several different 3-D printed filament materials were used. Vibrational frequency response data from 0 to 1600 Hz was collected from each of the hammershanks using a vibration exciter and accelerometers. Decay measurements of the first ten harmonics of the struck string were taken from note C40 (f1 = 262 Hz) on a typical working grand piano outfitted with the baseline and the test samples. Audio recordings of the string decay produced by each sample were also taken for audible comparison. Results will be discussed.
Learning the nuance of musical instrument acoustics

While acoustic modeling successfully captures the broad strokes of how musical instruments produce sound, it falls short of capturing the more nuanced attributes required to synthesize entirely convincing reproductions. For example, there are innumerable (effectively random) factors that affect the waveform produced by a single violinist performing the same musical gesture multiple times. Using machine learning, we can implicitly learn a distribution of these factors by modeling a collection of instrument waveforms, which could potentially lead to more convincing synthesis. In this talk, I will discuss our work on using generative adversarial networks, an unsupervised machine learning technique, to synthesize instrument waveforms. I will also speculate about how similar strategies might be paired with existing acoustic models to produce digital instruments which are indistinguishable from their real counterparts.
Survey on Analysis and Countermeasure for Hacking Attacks to Cryptocurrency Exchange

As the value of technical information increases, hacking attacks are trying to steal technical information through hacking. Recently, hacking of cryptocurrency exchanges is much easier to monetize than existing technical information, making it a major attack target for hackers. In the case of technical information, it is required to seize the technical information and sell it to the black market for cashing.In the case of cryptocurrency, most hacking attacks are concentrated on cryptocurrency exchanges because it is easy to cash out and not easy to track when successful hacking. Although technology cannot be hacked, cryptocurrency transactions traded on cryptocurrency exchanges are not recorded on the blockchain which is simply internal exchanges, so insiders may manipulate the quotes and leave gaps or leak out. Therefore, this research analyzes the recent hacking attacks of cryptocurrency exchanges and proposes solutions to secure cryptocurrency trading.
Are Cryptocurrencies Homogenous?

This article investigates if the returns of cryptocurrencies are affected in similar ways by a selection of demand and supply-side determinants. These determinants include both economic determinants, such as macroeconomic factors and uncertainty, and technical determinants, such as token supply, distribution and transaction validation. Homogeneity among cryptocurrencies is tested via a LASSO-model in which the determinants of returns that have been identified in research on Bitcoin are applied to a sample of 12 cryptocurrencies. The analysis goes beyond much existing research by simultaneously covering different time periods and design choices of cryptocurrencies.The results show that cryptocurrencies are heterogenous, apart from some similarities in the impact of technical determinants. The cryptocurrency market is highly integrated with evidence of substitution effects. Further, design choices related to demand and supply among cryptocurrencies often explain the impact of determinants of return. It is important to consider heterogeneity among cryptocurrencies in order to enlighten the ongoing debates about the social contribution, economic advantages and risks, and potential regulation of cryptocurrencies.
A range of large music rehearsal spaces: 3 case studies

A rehearsal room for a large music ensemble must strike a balance between acoustic support and loudness control. Typically Kirkegaard approaches this by capturing a large volume and treating it with a mix of reflective and absorptive surfaces, plus some movable absorption. The size of the room’s volume, the treatment of the reflective and absorptive surfaces, and the location and extent of the adjustable absorption responds to the types of ensembles and music that the room serves. Three examples: At University of Virginia’s Hunter Smith Band Building, the main user was the 250-person marching band. This new construction used generous height and deep absorption to control loudness, despite extensive glazing. At University of Southern California’s Schoenfeld Symphonic Hall, a former soundstage was adapted into the primary rehearsal room for the Thornton School’s orchestra, wind ensemble, and percussion ensembles, with secondary use as a recording space. The renovation had to compensate for limited acoustic volume and directly adjacent mechanical room while transforming the room architecturally. At Oregon Bach Festival’s purpose-built Berwick Hall the focus was on early music—rehearsal, instruction, and performance. Our response was a moderate volume with little fixed absorption, creating an unusually reverberant rehearsal room with an extraordinarily beautiful sound.
Physician-Led EHR Customization Tracking Assessments for Pediatric Patients with Turner Syndrome.

In 2015, a pediatric endocrinologist designed a progress note in an electronic health record (EHR) system to improve adherence to clinical practice guidelines for pediatric patients with Turner Syndrome. In 2018, to improve upon the note template, a flowsheet containing embedded decision support content from an international guideline was designed and implemented with help from a general pediatrician who was also an Epic Physician Builder. The flowsheet allowed for the creation of discrete data elements for improved consistency and enhanced reporting. The design process may be useful in other EHR customizations.
Research on the two-player two-way principal-agent model and optimization algorithm with lower and upper bounds

An optimization algorithm is designed for the solution of the two-way principal-agent model with lower and upper bounds. This work analyzed the two-way principal-agent relationship between the two players who both have dual status: the principal status and the agent status, then proposed the expect ed utility function for the virtual principal, and a two-way principal-agent model with lower and upper bounds which embodies two players and two-side constraints was established too, then the upper and lower bounds of the parameters are determined by the fixed point theorem, finally Pivoting algorithm and sequence of quadratic programming method were used to solve those models. The example indicated that it is necessary to balance the investment and return values of the alliance members to maximize the utility of the alliance and achieve real incentive for them by determining the appropriate reserved utility value.
Mobile Bodies: Reimagining Design Through a Dance Lens

This article delves into the ways in which dance practice revises traditional approaches to assistive technology design, adding a productive dimension to current momentum in the design field at large. Based upon research with dancers who have disabilities that was approved by an Institutional Review Board, as well as practice-based research, the author examines the art of dance as a catalyst for reframing design thinking for assistive technology. Specifically, attention is drawn to the interpersonal and embodied facets of assistive technology. This research-based analysis expands the creative landscape in design thinking through attending to the disabled dancing body while carving an innovative space for dialogic intersections between the fields of dance, disability, and assistive technology design.
Sensing Social Systems: Towards a True Objective Resilience Framework

While infrastructure has historically been the primary focus of resilience assessments, resilient societies are not only a function of physical systems. Urbanization and climate change are unquestionably posing grand challenges that will affect the performance of physical systems. However, they are also imposing new stressors on social systems that may change the ways in which society uses infrastructure. Consequently, true resilience can only be achieved if people and their actions are fully accounted for. This paper presents two new data collection approaches to quantitatively assess human actions in public urban spaces as a preliminary effort to sense and model social systems. Passive infrared sensors integrated into wireless sensing nodes are used to collect anonymous, discrete event data characterizing foot traffic, and security camera video feeds used as continuous data input for computer vision processing. This paper gives an overview of the data collection program and the results from deployments at the Detroit Riverfront. These data sources are used to identify people, quantify their mobility, and classify their activities.
Validity of the Happiness-Enhancing Activities and Positive Practices Inventory(HAPPI) Scale in Physical Activities Participation in Korean Old Adults

이 연구는 신체활동참여 한국 노인의 행복관련 성향을 측정하기 위해 (Happiness-enhancing Activities and Positive Practices Inventory; HAPPI)를 개념적으로 그리고 통계적으로 구인타당도(construct validity)를 검증하는 데 목적이 있다. 이를 위해 Henricksen와 Stephens(2013)가 개발한 HAPPI 척도를 전문가가 참여한 검사내용에 기초한 증거를 문항분석을 통하여 검증하였으며, 신뢰도 분석, 탐색적 요인분석, 그리고 확인적 요인분석을 실시하여 타당도를 검증하였다. Cronbach’s α로 내적일관성을 확인한 결과 모두 수용할 만한 것으로 나타났다. 구조방정식 모형을 적용하여 문항의 적합도를 검증한 결과 GFI=.925, CFI .962, TLI .953, 그리고 RMSEA .062으로 모두 적합하게 나타났으며 개념신뢰도(CR)와 평균분산추출지수(AVE)를 산출하여 수렴 및 판별 타당도를 확인되었다. 최종적으로 4요인(Other–focused, Personal recreation and interests, Achievement, Self-Concordant Work, Spiritual and thought-related) 16문항의 측정척도는 신체활동참여 한국 노인을 위한 행복증진활동의 성향을 측정하는 다차원적 행복증진활동 척도의 구인타당도를 만족하는 척도로 확인되었다. 결론적으로 HAPPI는 신체활동에 참여하고 있는 한국노인들에게 적용가능한 척도로 확인되었다.
Facial Expression Recognition Using Directional Gradient Local Ternary Patterns

Extraction of human emotions from facial expression has attracted significant attention in computer vision community. There are several appearance based techniques like local binary patterns (LBP), local directional patterns (LDP), local ternary patterns (LTP) and gradient local ternary patterns (GLTP). Recently, many investigations have been done to improve these feature extraction techniques. Although GLTP has achieved an improvement in robustness to noise and illumination, it encodes image gradient in four directions and two orientations only. This paper proposes to improve GLTP to directional gradient local ternary patterns (DGLTP) by encoding image gradient on eight directions and four orientations. The eight directional Kirsch mask is used to encode the image gradient followed by dimensionality reduction using linear discriminant analysis (LDA) and AVG, MAX and MIN pooling techniques are compared for fusing facial expression features. The proposed technique was experimented on JAFFE facial expression dataset with support vector machine (SVM). The experimental results show that proposed technique improved accuracy of GLTP.
JET: A JURASSIC PLASTIC LOST IN THE ANTHROPOCENE?

Defined by Stach (1927) as ‘being formed from drifted wood which has been secondarily impregnated with bitumen’, gem quality hydrocarbons known as ‘jet’ have been utilised for high-status ornamentation since the Upper Palaeolithic. Despite representing a socio-symbolically significant resource, little progress has occurred in the characterisation and provenancing of this material. Requiring an increase in atmospheric carbon, global warming and oceanic anoxia, the paleo-environmental conditions required for the jetification of wood have seldom occurred in earths geological history. The resulting material displays distinct polymeric properties; low specific gravity, low thermal conductivity, triboelectricity and combustibility. As such it can perhaps be described as a ‘Jurassic plastic’. During periods of high demand, we see many carbonaceous materials, plus natural and semi-synthetic polymers used as jet simulants. When presenting as polished objects, these black, opaque materials are visually difficult to distinguish, yet discrimination is important for understanding exchange, due to the restricted geospatial occurrence of jet. An unprecedented demand for jet in the C19th led to a depletion of natural reserves and a quest for new simulants. These materials needed to share the ‘plastic’ properties of jet. Baekeland’s 1907 creation of phenol formaldehyde patented as ‘Bakelite’, was actively retailed as jet until the 1940’s. His material not only shared the qualities of jet, but he claimed to have surpassed nature. We, as a race he said, had entered the Fourth Kingdom, we had created a new material under the sun. The fate of jet as a gem material has been shown to mirror the fate of modern plastics. Initially a luxury commodity, once available to a mass market its worth depreciated. Despite the odds, and testament to the 1980’s slogan, jet has survived as a gem product. Proof, if we needed it, that “plastic is forever and a lot cheaper than diamond”.
Improving Natural Language Understanding by Reverse Mapping Bytepair Encoding

Recently, language models (LMs) or language representation models are widely used in natural language understanding (NLU) tasks.However, these LMs are usually trained on large unlabeled text corpora, while the finetuning process simply takes words or wordpieces as model input.Because of the differences between language model and NLU task objectives, the problem of lack of concern on some key words exists.Thus in this paper, we propose a method called reverse mapping bytepair encoding, which maps named-entity information and other word-level linguistic features back to subwords during the encoding procedure of bytepair encoding (BPE).We employ this method to the Generative Pre-trained Transformer (OpenAI GPT) (Radford et al., 2018) by adding a weighted linear layer after the embedding layer.We also propose a new model architecture named as the multi-channel separate transformer to evaluate the effectiveness of the newly introduced information by employing a training process without parameter-sharing.Experiments on Story Cloze, RTE, SciTail and SST-2 datasets demonstrate the effectiveness of our approach.Compared with the original results in GPT, our approach gains 1.58% absolute increase on Stories Cloze, 6.4% on RTE, 0.69% on SciTail and 0.8% on SST-2.
Research on Location Privacy Protection of Dynamic Anonymous Domain Based on Grid User Density

The existing location anonymity algorithms do not consider the distribution of user density in the region. The area of anonymous domain is not the most appropriate and the query workload is redundant. To solve this problem, this paper proposes location privacy protection method for dynamic anonymous domain based on grid user density, which can shrink and expand anonymous domain reasonably on the basis of regional user density. The experimental results show that the proposed algorithm can find smaller anonymous areas under the premise of satisfying user privacy configuration, and effectively compress processing time, improve the success rate of anonymity and LBS service quality.
A particle swarm optimization method for variable selection in beta regression model

Beta regression model has received much attention in several science fields in modeling proportions or rates data. Selecting a small subset of relevant variables from a large number of variables is an important task for building a predictive regression model. This paper proposes employing the particle swarm optimization algorithm as a variable selection method in the beta regression model with varying dispersion. The performance of the proposed method is evaluated through simulation and real data application. Results demonstrate the superiority of the proposed method compared to other competitor methods including corrected Akaike information criterion, corrected Schwarz information criterion, and corrected Hannan and Quinn criterion. Thus, the proposed method can efficiently helpful as a variable selection tool in the beta regression model with varying dispersion.
Speaker identification using convolutional-long short-term memory neural networks

Speaker identification (SI) techniques has been used in numerous commercial products over the last decades. In SI, the main purpose is to match a voice sample from an unknown speaker to one of the labeled speaker models. To be able accomplish this task, there are two operational phases, training (can be also termed as enrollment) and testing. In both phases, feature extraction and feature matching are the two key steps. In this work, we have extracted features with Mel-Frequency Cepstrum Coefficients (MFCC) because MFCC has accurate representation of the vocal tract, and a Spectral-Flux based Voice Activity Detector (VAD) is implemented to extract features from the speech segments. In feature matching task, we build a Convolutional Long short-term memory (LSTM) Neural Network for the speaker models. We examine main performance of the system in terms of identification rate and compare the proposed method with other SI methods under several noisy conditions at different signal to noise ratio (SNR) levels.
Pembangunan Jaringan Komputer di SMP Muhammadiyah Imam Syuhodo

Junior high school of Muhammadiyah Imam Syuhodo, formerly known as junior high schol of Muhammadiyah Blimbing, is one of the charitable endeavors of Muhammadiyah which is engaged in education in Sukoharjo regency, one of the schools that is currently in the process of developing school quality and quality. In this modern era, an internet network is needed to support the continuity of the administration of service reporting and learning in schools. In this research simulate internet network development in junior high school Muhammadiyah Imam syuhodo which at first there was no internet network installation in the school
Pemanfaatan Kain Tenun Lurik Pada Busana Pria Ready To Wear Dengan Metode Zero Waste

Abstract Woven lurik is one of the Indonesian traditional weaving from Java. Lurik itself is interpreted as a line, which is the motif of this woven fabric. Woven lurik usually used for traditional clothing and carrying aids. Traditional cloth for men that made from woven lurik its called beskap. Beskap is generally made of lurik fabric with a dimension of seventy (70) centimeters and is still popular today. Woven lurik is currently increasingly popular, has the potential to be developed in men's clothing because men's purchasing power in clothing increases compared to women. This research uses the zero waste square cut method to optimize the dimensions of the fabric used. The purpose of this study is to introduce zero waste techniques as one of the solutions to optimize fabrics. The final product from this research is ready to wear men who follow trends by referring to the Svarga trendforecast. Keywords Woven lurik, zero waste, ready to wear