Reviewerly/exHarmony huggingface dataset:
Concept development for an immersive audio mastering application: Designing a tool for object-based audio mixing

Immersive audio is an upcoming innovation within the world of professional audio reinforcement. The amount of possibilities of enhancing the listening experience is enlarged drastically by setting up arrays of speakers in front of and around the audience. Technological advancements make it possible to render recorded audio channels for an immersive audio system during live performances. These advancements rely on spatial audio rendering techniques, which will be described partly in this thesis. The elaboration on these techniques serves to clarify how the created audio effects are generated. Object-based audio (OBA) mixing allows the rendering of (pre)recorded audio channels for an immersive audio system. OBA mixing allows to be very close to the listening experience. In the project that is presented in this thesis, an in-depth look is taken at the use cases of immersive audio in the application of live performances. The users of immersive audio systems, who carry the responsibility of developing and executing the content that is reproduced over such systems, are determined and involved in defining a number of common use cases. Through the ability of defining specific requirements, these use cases lay the foundation for the development of a concept of a mixing tool for immersive audio systems. These requirements are supported by a respective definition of quality. Qualitative research is also done in terms of generating ideas. Furthermore, a look is taken at existing relevant software, with analogous functionalities. The research is bundled in a concept for a mixing tool, which is worked out in a visual mock-up. This mock-up is used in an evaluation study, to create an insight into the desirability of the concept. The concept is also laid parallel to its requirements that have been set for it. At last, elements of the concept, which are missing despite their relevance, are discussed. Further research is suggested for the development of these elements. Additionally, some use cases that arose during the project for the use of OBA mixing in the further future are presented.
Enhancing Radiographic Dental Image Visualisation with Colourisation and Graphical User

Radiography has been used in dentistry to find cavities, bone loss, hidden dental structures, tumour, and cysts. Due to the monochromatic characteristic of X-ray images, it is difficult to discern disorders and explain the diagnosis procedure. Enhance the visualization of X-rays is one of the ways to ease the work of the dentist. There were several studies to enhance visualization by giving pseudo colour shades to monochromatic images. The conclusion of these Studies has fixed shades of colour. The present research concentrates density slice approach for colorization and GUI (Graphical User Interface) to provide all information on a single window. The density slice technique is based on the intensity of pixels. This approach helps to select regions according to the intensity of pixels. Due to that, region-based Colourisation is possible. Each region represents different tooth parts. Along with this, the study also contained Graphical User Interface contained all requires images in one window so the dentist can easily explain. The study concludes that the outcomes of preset study help dentists into diagnosis. An output of this methodology is the polychromatic image and classifies region of the tooth in different colour and GUI provides better flexibility to the dentist to apply and explain the disease. Keywords: medical image processing, colorization, visualization, dentistry, colour X-ray image Cite this Article: Karan Patel, Bhavesh Parmar. Enhancing Radiographic Dental Image Visualisation with Colourisation and Graphical User Interface. Journal of Image Processing &amp; Pattern Recognition Progress. 2020; 7(2): 7–19p.
Scalability of Universal Nanophotonic Processing Circuits based on Multi-Plane Light Conversion

Universal linear processing circuit based on multi-plane light conversion, comprising multiport directional couplers, is demonstrated to exhibit excellent fabrication tolerance even at increased scale, owing to its unique all-to-all unitary coupling at every layer.
Social media literacy and awareness among the students in multidisciplinary programs in a Thai private university

This paper reports findings of the social media literacy, and the level of awareness from the students from three multidisciplinary programs in one of the private universities in Thailand. This study was classified as a non-experimental, quantitative research using a survey approach. The questionnaire technique was used to collect data. The surveys were conducted during January until February 2018. One hundred and twenty-three students were participated from Enterprise Information Systems (EIS), Investment Informatics (INI), and Medical Informatics (MEI) programs. This study applied the activities based consists of four levels from media literacy framework (access, analyze, evaluate and create). The results revealed that these students understand how to learn and apply social media literacy as stated the media literacy framework. Nearly all of the students had strongly agreed that social media has the impact on their everyday life. The students had strongly agreed that social media is one of the communication tools for connecting resources. Facebook was found to be the most popular social media application was agreed by most of the students Whereas, the findings revealed that the genders, year levels, and GPA of the students has no statistically significant impacted on their knowledge of social media; the programs where they have enrolled did play a significant role. In contrast, the difference in genders, year levels, GPA, and programs among the students in the multidisciplinary programs in a Thai private university had statistically significant impacted on the awareness of social media literacy.
Analysis of the Interrelationship and Stagnant Strategy according to the Transition Process and Sales Analysis of the Domestic Construction, Design, and CM Industries

Purpose: Korea’s construction industry has grown together with the design industry and the CM industry, but it is showing continuous growth, stagnation, and regrowth due to changes in domestic and international economic conditions. The purpose of this study is to identify the size of the design industry and the CM industry and the cycle of growth and stagnation compared to the construction industry and to suggest the prospect of sales in each sector and the necessity of specialized technology. Method: As a method of research, first, the change process and trend of each industry according to the periods of domestic construction industry are identified. Second, it analyzes policy change of each industry and analyzes the process of growth and stagnation along with the change process. Third, the sales analysis by sector suggests the size and outlook of the design industry and the CM industry compared to the construction industry and the necessity of specializing in specialized technologies. Result: As a result, the proportion of the design industry’s sales to the construction industry is expected to be about 5% and that of the CM industry to the design industry is about 7%. The domestic construction industry repeats growth and stagnation every about 10 years, and the next stagnation period needs to be considered. Accordingly, it is necessary to prepare for the future by specializing technologies related to eco-friendly construction, Smart construction technology, plant, and new city construction, which will further increase in value in the future.
Analysis of Scare Effects for Timing of Revealing Threats in Horror Contents

Sometimes not seeing a threat can be worse than actually seeing it. Even so, at a certain point it will change into becoming a more effective scare if the audience gets to see just what they feared. To be able to affect the audience in the way intended by the producer, it is important to understand the effects of timing when using different methods such as camerawork, for presenting a scene and current targets. In this paper we look into how the timing of revealing threats in horror contents affects the level of fear perceived by the audience.
Hacking Your App

In this chapter, I would like to talk about some steps you can take to testing the security of your own app. In a larger organization or a more mature startup (if there is such a thing), the testing may usually be done by the information security team. But before we get started on the technical aspects of hacking an Android app, I want to take a moment to talk about the security testing process.
An Approach to Detect and Prevent Distributed Denial of Service Attacks Using Blockchain Technology in Cloud Environment

Cloud is a novel platform providing on-demand services, web applications, network, server and storage. In spite of having problems associated with security and privacy, the cloud brings out a wide range of benefits. The distributed denial of service (DDoS) attack remains a security challenge in achieving a secure and guaranteed service and resources in cloud computing. The users have to face a problem regarding resources while having a DDoS attack. Therefore, it results in significant downtime and financial losses. Blockchain technology provides an enhanced security and privacy in many domains, like IoT, cloud, data mining and networking. It also provides a decentralized security framework, therefore, allowing sharing of attack information in a completely distributed and automated manner. Blockchain adds an additional layer of security and ensures that bad actors don’t take control of systems for their own ends in cloud environment. The system proposed here offers a solution to secure data on cloud environment built on blockchain technology that detects and prevents DDoS attack.
Statistical Modeling of Separator Processes - An Application of Gaussian Processes with Bayesian Optimization

The separator is a machine with many applications, commonly used to separate liquids or solids into components with different density. Each application demands its own unique set of process parameters to achieve optimal results. Often the procedure of finding the best process parameters is conducted empirically, which can be very time consuming. This thesis aims to address this problem by providing a statistical model of separator processes, which can be used to find the optimal process parameters more efficiently. Different sensors are mounted on two separators used in regular production. The sensors measure values of the inputs, outputs and process parameters. A Gaussian process is used to model the regression relationships between the process parameters and outputs for two separators. Bayesian optimization is then used to find optimal process parameters, which are shown to be accurate in simulations. In four models, one for each output of the two separators, the optimal process parameters are seen to improve the outputs. In the first separator only small improvements can be seen, as the optimal process parameter is near the middle of the data used to build the model. In the second separator large improvements can be seen. Here, the optimal process parameter is at the upper endpoint of the interval, implicating that a higher value of the process parameter could further improve the outputs. Thus, further experiments with a higher value of the process parameter are needed in order to draw conclusions on the optimal process parameter for the second separator. These optimal process parameters will be used in the real separators to possibly improve the separator performance. The data used in this thesis is supplied by the manufacturer of the separators, Alfa Laval.
Challenges of DAS measurements in seismic urban areas: case study at Etna volcano eastern flank

&amp;lt;p&amp;gt;We present the use of distributed acoustic sensing of telecommunication fibre to perform seismic monitoring on the lower eastern flank of Etna volcano. Eastern flank of Etna is structurally characterized by the existence of many faults until under the sea. One of the clearest morphological feature is the Timpe Fault System (TFS) crossing highly populated urban areas. The TFS is formed by several main segments producing shallow seismicity with a dominant normal faulting style and a right-lateral component, related to WNW-ESE regional extension. This area is highly seismogenic, with occurrence of a very frequent seismic activity punctuated by destructive earthquakes with magnitude ranges 4.3&amp;amp;#8804;ML&amp;amp;#8804;5.1 and a mean recurrence time of about 20 years.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To monitor the seismic response of this area we deployed an &amp;amp;#8220;intelligent&amp;amp;#8221; Distributed Acoustic Sensing (iDAS) system (SILIXA) in order to interrogate a 12-km-long telecommunication fibre-optic cable, managed by TELECOM Italia internet provider. The telecom cable runs from Linera to Zafferana villages along two primary directions roughly N-S and E-W and crosses the Santa Venerina and the Fiandaca faults, both part of the TFS. The former was entirely hidden until the 2002 eruption when a ML 4.4 earthquake exposed the fault at the surface and heavily damaged Santa Venerina village. The latter has been reactivated during the 2018 Etna activity, when a ML4.8 earthquake strongly damaged the Fleri village.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The iDAS was in acquisition for three months (11 September - 9 December 2019) and recorded the strain rate from natural and anthropogenic sources at a sampling frequency of 1 kHz with 2-m spatial resolution and a gauge length of 10 m. A second fibre in the same cable, was interrogated simultaneously by a FEBUS A1 system (FEBUS OPTICS) from 2 to 9 December 2019 with a spatial resolution and a gauge length of 5 m at a sampling frequency of 200 Hz. To validate the DAS measurements, gathered by both systems, two broadband seismometers (Trillium Compact 120 s) were deployed in the vicinity of the cable. We located using hammer shots along the cable at key positions.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;During the acquisition period more than 800 local seismic events occurred on Etna with ML ranging between 0.4 and 3.4. Several regional earthquakes from Greece and Albania also occurred up to ML6.1. These seismic sources allows for investigating the response of the fibre and the detectability thresholds of iDAS and FEBUS A1 in urban areas with heterogeneous installation conditions of the telecommunication cable (cased conduit, attached conduit, aerial track).&amp;amp;#160; We perform data analysis to characterize DAS amplitude and frequency responses to better estimate the coupling of the fibre to the ground.&amp;lt;/p&amp;gt;
Estimation vs Metrics: is QE Useful for MT Model Selection?

This paper presents a case study of applying machine translation quality estimation (QE) for the purpose of machine translation (MT) engine selection. The goal is to understand how well the QE predictions correlate with several MT evaluation metrics (automatic and human). Our findings show that our industry-level QE system is not reliable enough for MT selection when the MT systems have similar performance. We suggest that QE can be used with more success for other tasks relevant for translation industry such as risk prevention.
Analysis of Word Embeddings for Semantic Role Labeling of Russian Texts

Currently, there are a huge number of works dedicated to semantic role labeling of English texts [1–3]. However, semantic role labeling of Russian texts was an unexplored area for many years due to the lack of train and test corpora. Semantic role labeling of Russian Texts was widely disseminated after the appearance of the FrameBank corpus [4]. In this approach, we analyzed the influence of the word embedding models on the quality of semantic role labeling of Russian texts. Micro- and macro- F1 scores on word2vec [5], fastText [6], ELMo [7] embedding models were calculated. The set of experiments have shown that fastText models averaged slightly better than word2vec models as applied to Russian FrameBank corpus. The higher micro- and macro- F1 scores were obtained on deep tokenized word representation model ELMo in relation to classical shallow embedding models.
Many-Spin Entanglement in Multiple Quantum NMR with a Dipolar Ordered Initial State

Many-spin entanglement is investigated in a gas of spin-carrying molecules (atoms) in a nanopore under NMR conditions with a dipolar ordered initial state. To estimate the number of entangled spins, the second moment of the distribution of the intensities of multiple quantum (MQ) NMR coherences is used, which provides a lower bound for the quantum Fisher information. Many-spin entanglement is investigated at different temperatures and different numbers of spins.
Everett Library: Graphic Design: Evaluate Sources

A guide to basic information sources on graphic design. A brief introduction to source evaluation
Composing Real-Time Electronic Dance Music: an improvisation approach to composing Acid Techno

This artist talk will discuss the practice-led methods of producing electronic dance music (EDM) by investigating: the macro and micro-decisions entailed by real-time composition through manipulation of music technologies; and how those decisions determine an improvisational approach to composing EDM. The talk will explore how the Roland TB-303 synthesizer gave rise to the genre Acid, and how it continues to inform contemporary EDM genres.Roland’s TB-303 Bassline synthesizer was manufactured as an electronic bass accompaniment in the 1980s. Proving to be difficult to program than a drum machine, the 303 did not resemble the bass sound that musicians were seeking, leading to its demise.From then DJs picked up the discontinued 303. The repeating sequences and its peculiar sound became appealing to the burgeoning producer. Manipulating the limited real-time controls they were able to produce a squelching bubbling bass that engaged dancefloors. The 303 has been cloned ever since. As much as Rock ’n Roll owes its existence to the electric guitar, EDM found its electric guitar in the form of the TB-303.The talk will discuss how I set-up my studio-instrument comprising of drum machines and various synthesizers, and how I improvise. It will reveal how studio and performance based practices combine to inform an improvisational approach to composing electronic dance music with hardware only.
Discovery Learning to Improve English Achievement: A Classroom Action Research to the Seventh Graders of SMPN 1 Kedung Jepara

This study aims to describe the Discovery Learning Model (DL) to improve the English achievement. The problem is whether the application of DL can improve the English achievement of the seventh graders of SMPN 1 Kedung Jepara. This research applied classroom action research conducted in two cycles, each of which consisted of four stages: planning, implementing, observing, and reflecting. Participants of this study were 36 students, consisting of 20 (55%) girls and 16 (45%) boys. Indicators of success are set when at least 75% of students achieve mastery learning after the applied DL. Results show (1) the average learning achievement in the first cycle was 7.07 and 8.62 in the second cycle the cycle; (2) the mastery learning in the first cycle was achieved by 19 (52.78%) students, and 17 students or 47.22% of incomplete; and (3) completeness of classical learning in cycle I was 52.78% and 100% in cycle II. This means that the results of the second cycle are better than the first cycle. There is also evidence that students activity in the learning process, both individually and in groups increases substantially. Other findings show that the response of the students towards the implementation of DL was 81.81% that indicates very strong agreement.
해외어학연수의 외국어 정확성 향상에 대한 효과

The Journal of Industrial Management Society in Republic of Korea. In order to explore the effect of overseas language training on the development of foreign language accuracy, this study investigates the errors in English compositions produced by 27 Korean university students who received overseas language training for 15 weeks. For data collection, students were made to take two tests, a pretest and a posttest, a semester apart. The differences in composition elements and errors between the two tests were examined and statistical analyses were performed. Results showed that while the average length of the compositions and sentences increased, the number of sentences decreased in the posttest. Also, more errors were found in the posttest where the students tried to construct more complex sentence structures. The students’ ability to generate sentences were found to have improved, while their competence in using grammatical elements accurately within sentences did not see great improvement. This implies that overseas language training was not effective for aiding the development of one’s grammatical accuracy of a foreign language over a 15-week period for the students.
With or without you? Effects of using machine translation to write flash fiction in the foreign language.

The improvement in the quality of machine translation (MT) for both majority and minority languages in recent years is resulting in its steady adoption. This is not only happening among professional translators but also among users who occasionally find themselves in situations where translation is required or MT presents itself as a easier means to producing a text. This work sets to explore the effect using MT has in flash fiction produced in the foreign language. Specifically, we study the impact in surface closeness, syntactic and lexical complexity, and edits. Results show that texts produced with MT seem to fit closer to certain traits of the foreign language and that differences in the use of part-of-speech categories and structures emerge. Moreover, the analysis of the post-edited texts reveals that participants approach the editing of the MT output differently, displaying a wide range in the number of edits.
Outlier Detection for Data Using Density-Based Technique

Handling anomalies in high-dimensional information viably and effectively is as yet a difficult issue in AI. Distinguishing anomalies has an expansive scope of true applications. High-dimensional information may trigger the separation fixation issue, though the exception discovery requires fitting qualities for parameters, making models high unpredictable and progressively touchy. To defeat these issues right now idea called nearby projection score (LPS) is acquainted with speak to deviation level of perception to its neighbors.
Semi-Supervised Medical Image Segmentation with Equivariance Regularization

The last decades of research in machine learning and deep learning have lead to enormous advancements in the field. One of the areas that stand to gain the most from this is the medical sector. However, the majority of deep learning models today rely on supervised learning and one considerable bottleneck in the sector's ability to adapt the technology is the need of large labeled datasets. Inspired by newly published semi-supervised methods for image classification, this work addresses the problem for the task of semantic segmentation (a task that is recurrent in medical imaging and cancer treatment) by introducing a semi-supervised method, named Equivariance Regularization (EquiReg). Using the EquiReg-method the model is trained to output equivariant predictions with respect to data augmentations using unlabeled data, in conjunction with standard supervised training using labeled data. Experiments with brain tumor MRI-scans from the BraTS 2019 dataset show that the EquiReg method can, when only a small percentage of data is labeled, boost performance by incorporating unlabeled data during training. Furthermore, the experiments show that the EquiReg-method also improves performance in the fully supervised case, by using the labeled data for both supervised and unsupervised training of the same model. (Less)