Reviewerly/exHarmony huggingface dataset:
Perceptual and acoustic analysis of voice similarities between parents and young children

Human voice provides the means for verbal communication and forms a part of personal identity. Due to genetic and environmental factors, a voice of a child should resemble the voice of her parent(s), but voice similarities between parents and young children are underresearched. Read-aloud speech of Finnish-speaking and Russian-speaking parent-child pairs was subject to perceptual and multi-step instrumental and statistical analysis. Finnish-speaking listeners could not discriminate family pairs auditorily in an XAB paradigm, but the Russian-speaking listeners’ mean accuracy of answers reached 72.5%. On average, in both language groups family-internal f0 similarities were stronger than family-external, with parents showing greater family-internal similarities than children. Auditory similarities did not reflect acoustic similarities in a straightforward way.
Optimal and Safety Hardware and Software Control Structure for Dual Axes Solar Tracker

The main idea of this approach is to analyze and implement in real time a structure (hardware and software) that ensures the optimal orientation (on two axes) of a group of photovoltaic panels. The safety of exploiting the whole system is a particularly important practical aspect, which is ensured by the hardware and software elements included in the approach. The solution proposed is implemented and tested on a real architecture, analyzing at the end the results obtained.
The Lexicon of Kaliuda to Improve the Student’s Descriptive Writing Text

This study aims to determine the kinds of lexicon discovered in kaliuda that has several motive so the students can learn and finding out the lexicon that improve students’ writing descriptive text. Because by studying and multiplying the vocabulary the students will be easier to write the descriptive text. Students’ ability to write descriptive text relates to mastery of vocabulary. Mastery vocabulary as a basic for mastering language skills that can increase students’ ability to express and writing as productive skill. The method of data collection in this study were obtained by observation consist of several technic, observe the students’ learning process then continued by data arranging suitable with lexicon that contained in Kaliuda as a learning media. The data obtained was conveyed by qualitative method. The students’ writing skill can increase of lexicon was found from kaliuda. The result of this study show that kaliuda has many lexicon inside. At the beginning the students asked to find out the various motive to described it. Based on the students’ descriptions of the kaliuda is able to make the students improve their writing descriptive text skill. By using kaliuda motive the students directly imagine what they will learn such as the lexicon, language use, and etc. Kaliuda as description quite interesting and good to enrich their vocabularies in order to improve the capability of writing descriptive text.
A Critical Literature Review on the Data-Driven Language Learning Approach

This paper examines the pedagogical advantages and disadvantages inherent to data-driven learning (DDL) and identifies principal characteristics associated with this approach. Most notably, DDL provides learners with authentic instances of the target language, and allows them to experience even specialized linguistic occurrences. DDL can not only provide educators with opportunities to implement communicative approaches to language instruction, it can also facilitate corrective function among students, thereby exemplifying a learner-centered approach. Nevertheless, there are challenges and limitations for DDL, which thus far hindered DDL’s widespread adoption. There have been concerns regarding the identification of authoritative sources of authentic language use. Besides, DDL’s nature may result in learner errors unless adequate time is dedicated to training and acclimatization. Firm empirical evidence regarding the efficiency of DDL is required if the technique is to achieve widespread acceptance.
English Reading Teaching for Independent Enrolled Students in Higher Vocational Colleges

Independent enrolled students have become the main source of higher vocational colleges. This paper analyzes the current situation of English reading teaching and learning in independent enrolled students, clarifies the main factors of weak English reading ability, and makes a preliminary study on how to improve the English reading level of independent enrolled students.
Optimization for Greedy Non-maximum Suppression based on Multi-task Convolutional Neural Network

Non-maximum suppression (NMS) is an essential part of the face detection pipeline based on convolutional neural network (CNN). The common approach for NMS used by face detection is a greedy, locally optimal strategy which is to localize object from a set of candidate locations. However, NMS still has some shortcomings, such as sometimes the detection box has no relationship with high classification score, which leads to misjudge face localization during NMS. In this paper, we observed that NMS implemented on the multi-task convolutional neural network (MTCNN) which is a cascaded convolutional network and enhance NMS based on MTCNN to achieve high performance during face detection and alignment. We employ WIDER FACE as test dataset to evaluate our proposal. The precision and recall curve is adopted with three sub sets at different thresholds. The result shows that our proposal can perform better performance than traditional NMS.
Factors of Developing the Intellectual Abilities of the Youth

This article focuses on the need for enhancing the intellectual potentials of the youth and their education. It is philosophically researched that the reform of the educational process is the basis for the intellectual development of young people at a new development stage.
Penerapan sistem informasi masjid di wilayah Kotagede Yogyakarta

PCM Kotagede has the duty to prosper the symbols of Islam and Muhammadiyah through activities in various mosques in the neighborhood. The existing mosque is not yet well managed in terms of administration of infrastructure, finance, worshipers and activities. As a result, takmir has difficulty making various types of reports and publications for activities, while PCM is difficult to obtain information related to mosque profiles easily and accurately. The aim of community service is to provide solutions to mosque administration and management problems in the form of implementing a computer-based mosque management system in the mosques of Kotagede PCM. The benefits of this activity help Takmir mosque easily and quickly in making various reports about the development of infrastructure, worshipers, financial and various activities in the mosque. Besides that, PCM will obtain profile information of mosques in its area quickly and easily. So that the data helps in coordinating and developing the prosperity of the mosque.
Prospects and Tasks in Publishing Studies : Focusing on the Korean Publishing Society

본 연구는 한국출판학회 연구를 중심으로 출판학 연구의 전망과 과제를 도출하는 것을 연구 목적으로 하였다. 이를 위해 본 연구는 출판학연구 중심체로서의 한국출판학회에 대한 고찰, 출판학 연구 내용 및 경향에 대한 분석, 출판학 연구 성과 및 특성 고찰, 출판학 연구의 전망과 과제를 모색하였다. 연구 결과, 출판학 연구의 진정한 정립과 발전을 위한 과제 겸 제언을 다음과 같이 제시한다. 첫째, 출판학 연구의 정체성을 확립해야 한다. 둘째, 출판학 정립과 발전을 위한 기초 연구를 심화, 확장해야 한다. 셋째, 외연을 확장하고 시대를 선도하는 연구풍토를 조성해야 한다. 넷째, 산학협력 차원의 실제적 연구가 증진되어야 한다. 다섯째, 학회는 학회답고, 연구자는 연구자다워야 한다The purpose of this study is to derive the prospects and tasks of the study of publishing studies, focusing on the research of the Korean publishing society. To this end, this study sought to examine the Korean Publishing Society as a publishing research center, to analyze the contents and trends of publishing research, to examine the results and characteristics of publishing research, and to explore the prospects and tasks of publishing research. The results of this study suggest the following tasks and suggestions for the true formulation and development of publishing studies. First, the identity of the study of publications must be established. Second, we need to deepen and expand basic research for the establishment and development of publishing science. Third, we should expand external relations and create an era-leading research climate. Fourth, practical research at the industrial-academic cooperation level should be promoted. Fifth, the society should be an academic society and the researcher should be a researcher.
Spectral analyses of the Ikoro drum

The Ikoro or Ekwe-is a wooden slit drum, a percussion instrument of the idiophone family which by virtue of its functions and its predominance in the eastern parts of Nigeria with the Igbo’s plays an important role in the Igbo musical culture and settings. The Ekwe being a drum made of wood has pitches and produces a very deep rich bass sound which can be heard from a distance and has a sustained reverberation rendering a background beat to music or sound of warning. This paper looks at the frequency domain of the sustained reverberation, measuring, and analyzing the dynamics responses of the structure upon an excitation and describes the historical and constructional process of the Ekwe.
Scientific and Methodological Aspects of the Formation of Creative Thinking in Future Teachers on the Subject of «Technology»

The article focuses on the features of the subject «Technology» and its significance in the process of obtaining students a general education. The necessity of reforming the training methodology for future teachers in the subject «Technology» is noted, as well as effective approaches to the formation of their creative thinking are proposed. The emphasis on the development of creative thinking is made on the basis of the premise that this competency will allow future teachers to build a variable educational process in the subject «Technology», taking into account the individual abilities and professional intentions of students.
Phase transitions and optimal algorithms in the semi-supervised classfications in graphs: from belief propagation to convolution neural networks.

We perform theoretical and algorithmic studies for the problem of clustering and semi-supervised classification on graphs with both pairwise relational information and single-point feature information, upon a joint stochastic block model for generating synthetic graphs with both edges and node features. Asymptotically exact analysis based on the Bayesian inference of the underlying model are conducted, using the cavity method in statistical physics. Theoretically, we identify a phase transition of the generative model, which puts fundamental limits on the ability of all possible algorithms in the clustering task of the underlying model. Algorithmically, we propose a belief propagation algorithm that is asymptotically optimal on the generative model, and can be further extended to a belief propagation graph convolution neural network (BPGCN) for semi-supervised classification on graphs. For the first time, well-controlled benchmark datasets with asymptotially exact properties and optimal solutions could be produced for the evaluation of graph convolution neural networks, and for the theoretical understanding of their strengths and weaknesses. In particular, on these synthetic benchmark networks we observe that existing graph convolution neural networks are subject to an sparsity issue and an ovefitting issue in practice, both of which are successfully overcome by our BPGCN. Moreover, when combined with classic neural network methods, BPGCN yields extraordinary classification performances on some real-world datasets that have never been achieved before.
Mode studies on note sections of a Gubal

Over the years, Felix Rohner and Sabina Schärer, of Panart in Bern, Switzerland have implemented a number of significant modification to the standard Caribbean Steel Pan. These include using custom rolled sheet metal in place of commercially available used 55 Gallon drums, sinking the pan in a press rather than hand hammer sinking, dispensing with chiseled note section boundaries in favor of natural narrow change in curvature, adding central domes which give rise to more order in high overtone mode patterns, and building a lap held, hand played Hang. The latest addition to the Panart family is the Gubal, an inverted Hang with an added large dome on the bottom and the playing area, including the tone hole, at the top. Electronic Speckle Interferometric mode representations for Gubal note sections will be shown to illustrate spectral content of the Gubal.
A rigorous mathematical treatment of the shape of a dissipative rope fountain

This is a theoretical and numerical study of a model of a rope fountain subject to a drag force that depends linearly on the rope velocity. A precise, analytical description of the long-term shape adopted by the rope is given, and various consequences are derived from it. Using parameters that naturally appear in the model, we distinguish between cases wherein energy is conserved by means of a constant tension far from the rope source (the ‘free’ case) and where energy conservation is a consequence of a non-constant tension (the ‘braked’ case). The model is used, among other things, to generate rope fountain shapes based on approximate experimental estimates of the parameter values and a careful numerical treatment.
Character loaded big books for young learners of English

This research is made to produce big books that are intended to teach English, and to build character. This product is addressed for the beginner of English language learners. . The methods used by this research is Research &amp; Development. The instrument used is questionnaire, which generates data in form of quantitative and qualitative. The result of this research is books with five different titles. Each of the titles teaches one of the five primary characters. The quality of the product is very high. Therefore, it is decent to be implemented as a learning media. DOI: 10.26905/enjourme.v2i2.3561
Realizing secure and privacy- protecting information systems: bridging the gaps

Continuous development and increasing usage of Information and Communication Technologies (ICT) introduce many opportunities for individuals, organizations and the society at large. The usage of ICT, however, increases also people’s dependency on the well-functioning of Information Systems (ISs), which are, in turn, based on ICT. This dependency on ISs introduces increasing risks for individuals, organizations and the society. Privacy and cybersecurity risks constitute two important categories of such IS risks due to proliferation of personal data via ISs and the vulnerability of these systems to intentional and unintentional threats.In order to address and contain privacy and cybersecurity risks, there is an increasing need for protecting ISs and the personal data that are collected by, stored in, and analyzed within these systems. This need shapes the mission of the Research Chair on Privacy & Cybersecurity at Rotterdam University of Applied Sciences. This mission can be formulated as: How to realize privacy-protecting and secure ISs in practice? Currently, there are gaps between the existing approaches and what is needed in practice. Bridging these gaps requires further research as well as embodiment of the research results in education curricula. As a starting point, this contribution elaborates on a number of the existing gaps and discusses some possible directions for bridging these gaps.
Penggunaan Metode Ontology Untuk Perancangan Purwarupa Sistem Smart Home Berbasis Context Aware

Smart home system is a computer-aided system that will provide all comfort, safety, security and energy savings, which works automatically and programmed through a computer in a building or home. One of the method that can be used to design smart home is context aware method. Context aware can work with the help of several other methods such as ontology method. Ontology has a variety of definition and always changes time by time. Ontology method is one of method that can process complex data. The ontology method allows complex reasoning and representation with better results. Constraints that are often encountered when designing a system that looks complex will face many problems such as many ambiguous domains. The existence of an ontology design before carrying out the prototype design of the smart home system will facilitate the smart home design process especially if the system will be made more complex so it would allows ambiguity from multiple domains. Testing with this ontology method is effective enough to minimize ambiguity from each domain, because each domain is designed with different characteristics. The results of the test concluded that the ontology design can be realized as a prototype of the smart home system.
New Opportunities for Compilers in Computer Security

Compiler techniques have been deployed to prevent various security attacks. Examples include mitigating memory access corruption, control flow integrity checks, race detection, software diversity, etc. Hardware fault and side-channel attacks, however, are typically thought to require hardware protection. Attempts have been made to mitigate some timing and fault attacks via compiler techniques, but these typically adversely affected performance and often created opportunities for other types of attacks. More can and should be done in this area by the compiler community. This paper presents such a compiler approach that simultaneously mitigates two types of attacks, namely a fault and a side-channel attacks. Continued development in this area using compiler techniques can further improve security.
Performance Analysis of Deep Learning Based Video Face Recognition Algorithm

The identities verification in videos has many applications in area of surveillance, social media and law enforcement. The existing algorithms have obtained higher verification accuracies at equal error rate but it is very difficult to achieve higher accuracy at low false accept rate and this has become major research challenge. An efficient video face recognition system has to develop and the performance is carried out to obtain accurate face recognition from video. We propose a novel algorithm for face verification from video signal and MATLAB is used to implement and simulate proposed algorithm. The performance analysis of proposed algorithm is carried out using databases such as YouTube faces and point and shoots challenge.
Университет: к стратегии движения «за горизонт»

The article shows that the entrenched orientation of higher education towards the demands of the labor market requires rethinking and adjustment, since in modern conditions it does not guarantee the effectiveness of university’s activities and the ability to meet the challenges of the future. The real basis and guarantee of the university’s success is now the “synchronization” of its development strategy with the historical and epistemological trends in the development of knowledge, its functions and forms of being. In this context, the role and place of techno-science at university and university processes – research, design, and educational – is becoming especially important. It is argued that the current trends in the development of knowledge and science bring to life (and have already provoked) a new “projective-personal” paradigm of education. It is not focused on mastering the maximum academic knowledge (as it has been so far), but on individualizing the trainee’s educational trajectory and mastering the methods of synthesizing knowledge and project activities.
Social Media Analytics Using Data Mining Algorithms

Social Media sites like Facebook, Twitter, LinkedIn, and Google + contain an outsized volume of unprocessed information. By analyzing this knowledge, new information will be gained. The traditional data processing techniques won’t be applicable for processing the increasing number of dynamic and unstructured data. In this paper, we have a tendency to discuss data processing, social media knowledge, data processing techniques applied in social media applications. A detailed survey has been performed on the works that drained the sector of social network data processing analysis and techniques followed to perform {the knowledge the info the information} mining on the social network data. Results of this survey will function as the baselines for the future data processing technologies. Data mining is evolving as a procedure for examining pre-existent databases to come up with new helpful information. The social networking sites are gaining an increased research potential for researchers as most of the people are depending upon the social network for news, and opinion of other users []. Internet based life mining is emerging as the strategy for speaking, dissecting and making designs that square measure in move from information in web based life by abusing numerous strategies to overcomes the bottlenecks in web-based social networking.
Real-Time Noise Reduction Algorithm for Video with Non-linear FIR Filter

Noise is an essential issue for images and videos. Recently, a range of high-sensitivity imaging devices have become available. Cameras are often used under poor lighting conditions for security purposes or night time news gathering. Videos shot under poor lighting conditions are afflicted by significant noise which degrades the image quality. The process of noise removal from videos is called noise reduction (NR). Although many NR methods are proposed, they are complex and are proposed as computer simulations. In practical applications, NR processing of videos occurs in real-time. The practical real-time methods are limited and the complex NR methods cannot cope with real-time processing. Video has three dimensions: horizontal, vertical and temporal. Since the temporal relation is stronger than that of horizontal and vertical, the conventional real-time NR methods use the temporal infinite impulse response (IIR) filter to reduce noise. This approach is known as the inter-frame relation, and the noise reducer comprises a temporal recursive filter. Temporal recursive filters are widely used in digital TV sets to reduce the noise affecting images. Although the temporal recursive filter is a simple algorithm, moving objects leave trails when it reduces the high-level noise. In this paper, a novel NR algorithm is introduced. The proposed method uses finite impulse response (FIR) filter. The FIR filter does not suffer from this trail issue and shows better performance than NR using temporal recursive filters is proposed.
Parameter calibration of surface profile measurement system based on femtosecond laser

Based on femtosecond laser scanning interference, this paper dedicated to the surface profile measurement of silicon wafers. Femtosecond laser has not only low time coherence, but also high spatial coherence and high measurement accuracy. This measurement system is on the basis of a Michelson interferometer. Stepping motor is used to move the measuring arm so as to scan the surface of the measuring object. Then, the reconstruction of the object’s surface profile is accomplished by the algorithm. We use a short-wave infrared camera to record the interference fringes. The surface profile is reconstructed with pixel points, so the pixel size of the camera is the key to the reconstruction. In this paper, a standard part is selected and measured, then the camera pixel is calibrated through the size of the standard part. In this paper, the grating is tested as a standard part, and the camera pixel is calibrated through the grating reticle. Finally, the surface profile of the silicon wafer was measured with the calibrated system.
Social Design as a Relevant Discourse

Two industrial designers reflect on the increasing importance of social design, the technological boom, and students’ relationships with digital tools. They also discuss the role of schools and design teachers in promoting immersion and experience in a people-centered design approach.