Reviewerly/exHarmony huggingface dataset:
Stucture-borne noise from a pool

A problem arose at a recently completed high-rise condominium building in Philadelphia. Tenants on many levels above a pool located on the second level of the building stressed that they could hear low-frequency sound when an early-morning swimmer was doing laps. Looking through literature, we found nothing to attest to the phenomenon that presented itself. To investigate, we used a 15 lb rubber medicine ball to simulate the cavitation caused by the swimmer, which also provided a repeatable source. Cavitation in the water created by the arm strokes of the swimmer was exciting the pool shell and transmitting through the structure ultimately converting to audible sound via the lightweight partitions in the living units. Our measurement system included time synchronized triaxial accelerometers to determine the transmission paths through the building, which identified two significant peaks at 35 Hz and 62 Hz. This case study details this unique problem, the identification of structural transmission, and the successful outcome after our recommendations were implemented.
Rate of Agreement between Database Users’ and Authors’ Keywords in SID and Magiran Databases and Its Effect on Information Retrieval

Aim: This study examined the rate of correspondence between users' keywords and Latin authors published in SID and Magiran databases and its effect on information retrieval.Method: This cross-sectional study was conducted on PhD students and residents, in which Latin shared articles indexed in database of SID and Magiran were selected by random sampling method.The abstracts of these articles were provided to each student, in order to determine the keyword for each of them.Data collection was performed by a checklist.Data analysis was performed by non-parametric and -parametric statistical analysis.Data was analyzed by SPSS 22. Results: The results showed 29.9 percent of the keywords were non-match, with the highest frequency of three keywords and 39.9 percent were the exact match, with the highest frequency of one keyword.There was a significant difference between the two databases, SID and Magiran in retrieving relevant results (P < 0.011).Conclusion: Because of the loss of relevant articles on one hand and retrieving irrelevant articles on the other and also the importance of retrieving the right information, appropriate policies should be developed for indexing and using controlled language in these databases.
Designing and Implementing a B2B Chatbot: Insights from a Medium-Sized Service Provider in the Energy Industry

Chatbots are currently attracting a lot of attention and considered to have great potential in many domains such as customer service, retail, and healthcare. Gartner [1] predicts that 25% of customer service operations will use chatbots and other types of digital assistants by 2020. While many researchers have studied how and why users interact with chatbots, less is known about the real-world process of designing and implementing a chatbot, particularly for business-to-business (B2B) contexts. To shed some light on this process and its challenges, this paper presents insights from a case study implementation of a chatbot at a medium-sized service provider for the energy industry.
Decentralized secure money using blockchain

The blockchain is a decentralized transaction and managing the data. This technology introduced on the first for Bitcoin cryptocurrency which makes more easier for the transaction. Blockchain technology has highly raised up in 2008. The main purpose of the Blockchain technology is to provide security, anonymity and data integrity without any third party organization in control of the transactions. This helps on improving in research areas especially from the perspective of technical challenges and limitations. In this research, we have conducted survive mapping study with the goal of presenting the Blockchain technology. The main objective of the researchers is to make the challenges in understanding the current research areas. This the future way to developing more and more on Blockchain technology. A blockchain is just a chain and list of blocks which secures the transfer of funds, by using a digital signature algorithm to prove ownership. Each block in the blockchain will have its own digital signature. We create a web page that contains the login and registration page. We create a key pair of each user that contains the private key and public key. Every time we check this blockchain is valid or not. The main reason for the paper is to research and focus on revealing and improving limitations of Blockchain from privacy and security perspectives. On the basis of this studying the blockchain we highly recommend the researchers to develop in the future.
Qualidade do ar: tecnologia calma, visualização de dados e engajamento cidadão

This article presents the development of a data visualization system depicting air quality in the city of Rio de Janeiro.The project is based on the concept of Calm Technology from Weiser and Brown (1996), and the data visualization system developed follows the principles of Ambient Information Systems.Data visualization is treated as an empowerment tool, aiming to foster citizen engagement and participation, in the context of Smart Cities.The project uses a design methodology which is guided by experimentation and prototyping, maintaining successive cycles in which each produced prototype is analyzed, generating subsidies for the next version.The article starts with a discussion about the general concepts of Calm Tencology, Ambient Information Systems and Smart Cities.Next, we describe the development of the data visualization system, describing the processes involved, the technologies employed and the results achieved.
How to protect against cyber attacks

Cyber attacks are a real and growing risk to your business. The security of your business information is vital, so now’s the time to take steps to protect yourself, as no organisation, however large or small, is immune, says Liz Smith Lugo.
Covering Path with Minimum Movement: Complexity and Algorithms

In this paper, we study a special coverage problem, called Path Coverage, which has applications in many fields. Our objective is to move minimum steps of sensors to cover the path. Firstly, we prove that the problem is NP-hard. Then, a heuristic algorithm is given for the problem based on the analysis of the relation between sensors and points in the path. Simulation experiments are conducted to evaluate the effects of some parameters on the sensor moving distance.
Localization of Human 3D Joints Based on Binocular Vision

With the development of image/video based 3D pose estimation techniques, service robots, human-computer interaction, and 3D somatosensory games have been developed rapidly. However, 3D pose estimation is still one of the most challenging tasks in computer vision. On the one hand, diversity of poses, occlusion and self-occlusion, change in illumination, and complex background increase the complexity of human pose estimation. On the other hand, many application scenarios require high real-time performance for 3D pose estimation. Therefore, we present a 3D pose estimation method based on binocular vision in this paper. For each frame of the binocular videos, the human body is detected firstly; Then Stacked-Hourglass network is used to detect the human joints, and the pixel coordinates of the key joints of all the human bodies in the binocular images are obtained. Finally, with the calibrated camera internal parameters and external parameters, the 3D coordinates of the major joints in the world coordinate system are estimated. This method does not rely on 3D data sets for training. It only requires binocular cameras to perform 3D pose estimation. The experimental results show that the method can locate key joints precisely and the real-time performance is achieved in complex background.
The approach of using ontology as pre-knowledge source for semi-supervised labelled topic model by applying text dependency graph

Multiple topics discovering from text is an important task in text mining. In the past, the supervised approaches fail to explore multiple topics in text. The topic modelling approach, such as: LSI, pLSI, LDA, etc. are considered as an unsupervised method which supports to discover distributions of multiple topics in text documents. The labelled LDA (LLDA) model is a supervised method which enables to integrate human labelled topics with the given text corpus during the process of modelling topics. However, in real applications, we may not have enough high qualified knowledge to properly assign the topics for all documents before applying the LLDA. In this paper, we present two approaches which have taken the advantage of dependency graph-of-words (GOW) in text analysis. The GOW approach uses frequent sub-graph mining (FSM) technique to extract graph-based concepts from the text. Our first approach is the method of using graph-based concepts for constructing domain-specific ontology. It is called GC2Onto model. In our second approach, the graph-based concepts are also applied to improve the quality of traditional LLDA. It is called LLDA-GOW model. We combine two GC2Onto and LLDA-GOW models to leverage the multiple topic identification as well as other mining tasks in the text.
Artificial intelligence and data analytics for encrypted traffic classification on anonymity networks

This chapter studies and analyzes multilayer-encryption anonymity networks. Multilayer-encryption anonymity networks aim to enable users to access the Internet without being tracked or traced. To achieve this, they use technologies to resist traffic analysis and network surveillance - or at least make it more difficult. However, for various reasons - from network operations to security - network packet and flow analysis have been employed to identify multilayer-encryption anonymity networks. In the following, we discuss the usage of traditional and nature-inspired artificial intelligence and data analytics techniques to classify encrypted anonymity network traffic.
A Study on the usefulness of Reeducation for Professional Choirs

지식기반 사회에서 중요한 역할을 하는 인적자원을 개발하기 위해 기업을 중심으로 직장 내 재교육에 대한 관심이 높아지고 있으며, 예술분야에서도 재교육에 대한 논의가 증대되고 있는 추세이다. 직업적 전문 합창단은 예술 분야 중에서 일반 기업과 가장 비슷한 형태로 운영되는 특징을 갖고 있다. 따라서 기업과 마찬가지로 인적자원개발을 위한 노력의 일환으로 직장 내 재교육이 필요함에도 불구하고 실질적으로 교육이 이루어지는 경우가 거의 없으며 이와 관련된 학문적 연구도 매우 부족한 상황이다. 이에 이 연구는 직업적 전문 합창단을 위한 직장 내 재교육의 효용성을 알아보고 더 나아가 전문합창단의 발전을 이끄는 것을 목적으로 한다. 연구를 위해 직장 내 재교육의 의미와 예술단체를 대상으로 실시하는 재교육 관련 문헌을 연구하고, 직업적 전문합창단의 근무현황과 필수적으로 요구되는 근무역량을 조사하였다. 또한 수도권 2개 대학의 성악과 학사과정의 수업 실태를 조사하여 합창과 관련된 수업의 현황을 조사하였다. 연구를 통해 알아낸 직업적 전문 합창단의 직장 내 재교육의 효용성은 다음과 같다. 첫째, 개인의 기량을 지속적으로 발전시킬 수 있고 직업적 전문합창단에서 실시하는 정기평정을 대비하여 승급을 하는데 도움을 줄 수 있다. 둘째, 빠르게 변화하는 관객의 예술적 욕구와 공연 레퍼토리에 대처할 수 있다 . 셋째, 대학교 교육과정에서 미비했던 실무적 내용을 배울 수 있다.In order to develop human resources that play an important role in knowledge-based society, the interest in reeducation at work was increased. Professional choirs was in the art field in the most similar form to that of ordinary companies. The professional choir has the characteristics that were the most similar to that of general companies in the art area. Therefore, practical reeducation for the professional choir and academic research related with this topic were rarely carried out, even though reeducation was needed as part of efforts to develop human resources. The purpose of this study was to examine the usefulness of the reeducation of the professional choir in the workplace and to develop the professional choirs. This study reviewed the researches on reeducation in the workplace and the current status of reeducation for professional art organization. In addition, this study investigated the working status of occupational professional choir and examined the undergraduate curriculum of the two universities in the metropolitan area. The usefulness of reeducation in occupational professional choirs in the workplace through research were as follows. First, it helps improve the personal skills of professional choir members and it is possible to prepare for the periodical evaluation conducted by professional choir. Second, it helps to produce a list of performances that meet the rapidly changing artistic desires of the audiences. Third, you can learn more practical work for a choir that were not enough in university education courses.
Análisis interpretativo del Concierto para saxofón y orquesta Op. 14 de Lars-Erik Larsson

The work contains a formal analysis, highlighting relevant harmonic, contrapuntal and stylistic events throughout each movement. The idea with this analysis is, besides knowing the characteristics of the work, to be able to use the analytical tools seen in the Literature and Materials classes. A section of interpretative conclusions is added, which shows my interpretative perspective of the work from the theoretical analysis.
LibGuides: Accounts for incoming and graduating students: Home

When do new students get NetID, email and Blackboard Learn accounts?How long do graduating students keep access to their accounts?
POST-MILLENIAL STUDENTS’ ATTITUDES TOWARDS THE ONLINE SEARCH ENGINE IN EFL LEARNING

This research attempted to depict teachers' perspectives towards the post-millennial students' attitudes on using the online search engine in EFL learning. The research employed descriptive-interpretative qualitative research. 12 English teachers of the non-English major students were purposefully selected to be the subject of the research. The findings of the research pointed out that students' who were categorized as post-millennial generation used online search engine a lot in EFL learning. The findings showed that some negative attitudes occurred in EFL learning regarding the usage of the online search engine. The two most prominent ones were the act of plagiarism and being lazy due to the access to instant information. Despite it all, the results showed that the students’ positive attitude towards online search engine was more significant than the negative ones. Furthermore, the other research findings also illustrated that the EFL learning activities that were interfered by the online search engine at most is writing. Then, Google is the most used online search engine by the EFL post-millennial students.
Percepción del estudiantado de informática acerca de las habilidades blandas en su proceso de formación como profesionales en Ingeniería en Sistemas

The following work presents some results of a first study about student perception about soft skills and their educational in their training process as future systems engineers.Data collection was carried out considering population of 70 students from two public universities and in branding which soft skills students consider important and what educational strategies teachers may carry out in their classrooms to favor the development of these soft skills in their students' learinings.
A Novel Weight Pooling Method for Objective Image Quality Assessment with the Luminance Adaptation Effect in the Pixel Intensity Domain

Human Visual System (HVS) contains some important psychophysical characteristics and the most important among those are the contrast sensitivity function and luminance adaptation (LA) effect, that can potentially be used for modeling better image quality assessment (IQA) methods. As a result, some existing IQA methods have intrinsically adopted the Weber&#x2019;s law model to reflect the LA effects. But the authors have found that the way of adopting the LA effect was inappropriate. Recent psychophysical studies reveal that the Weber&#x2019;s law model is unable to be precisely fitted in the measured data for the LA effect. Furthermore, most IQA methods attempt to measure the quality in the pixel intensity domain, while the Weber&#x2019;s law works in the luminance domain and pixel intensity domain has a nonlinear relationship with the luminance domain. To address these problems, the authors derive a new LA effect model in the pixel intensity domain. Based on their derived LA effect model, the authors propose a new weight pooling method for the LA effect, denoted as LA-based Local weight Function (LALF). Their comprehensive experimental results prove that LALF can easily be applied in existing FR-IQA methods and it significantly improves the performance of the base methods in which LALF is applied.
Recurrent neural networks for structured data

A key challenge in machine learning is to explore and incorporate the complex nature of real-world data structures into the training models. The contributions of this thesis are novel RNN architectures for different types of structured data.
Tax treatment of cryptocurrency holders and miners in the era of virtual currencies from a multijurisdictional and Swiss perspective

The number of Bitcoins in circulation has grown from over 5 million in 2011 to approximately 16.95 million in March 2018. Unfortunately, this accelerated growth pace has not been followed by the correspondent regulation of cryptocurrency from a tax perspective. While the tax consequences of certain aspects may be anticipated (e.g., payments to an employee made in cryptocurrencies will likely be assimilated to salary), the answer to other issues such as whether token holders are subject to Automatic Exchange of Information, or how to qualify economic advantages received by token holders, or even whether a mining plant represents a permanent establishment for tax purposes, is unclear. The aim of the present contribution is to provide an overview on how different jurisdictions – with a particular emphasis on Switzerland – have addressed the tax treatment of cryptocurrencies. This multi-jurisdictional study of the current situation includes the analysis of the tax treatment applicable to the mining, holding and transfer of tokens under both domestic law and tax treaties. Finally, along with their personal opinion, the authors propose alternative solutions to specifics issues that are as of today not regulated.
PERFORMING ACCURATE SPEAKER RECOGNITION BY USE OF SVM AND CEPSTRAL FEATURES

The task of performing speaker recognition over voice recordings is an active research area in the relevant literature in which many applications has been proposed so far.  In this study, speaker recognition is performed over cepstral features extracted from raw voice recordings. Some of the most prominent cepstral feature selection methods, namely, LPC, LPCC, MFCC, PLP and RASTA-PLP are utilized and their contribution to the performance of the applied method is investigated. Obtained features are handled by SVM classification algorithm to finalize the speaker recognition task. As a result, it is observed that cepstral feature selection methods such as LPCC and MFCC combined with SVM classification result in around 97% accuracy.
Analisis Kesiapan Mahasiswa Program Studi Pendidikan Matematika Universitas Muhammadiyah Surakarta Dalam Melaksanakan Program PLP II Tahun 2018

The goal of this study is to analyze the preparedness of Mathematics Education Study Program students in UMS in conducting the PLP II program in 2018. This is aqualitative descriptive research with a phenomenological research design. There were three students from the Mathematics Education Study Program who already conductedtheir PLP II program in 2018 were taken as the subjects of this study. The data collection techniques for this study were interviews and documentation. The results ofthis study shows that the students of Mathematics Education Study Program already has pedagogical competence preparedness in conducting the PLP II program in 2018.However, in the learning process implementation, students need to be more expert especially about the learning opening and closing skills. For personality competenceand social competence, all Mathematics Education Study Program students already have preparedness in its implementation. And for the professional competencepreparedness, Mathematics Education Study Program students who’s not prepared yet for the implementation, particularly mastering teaching materials which are still lackingand need to be improved.
A STUDY ON EMPLOYEE MOTIVATION AND ITS IMPACT ON EMPLOYEE PERFORMANCE WITH REFERENCE TO CELEBRITY FASHIONS LIMITED

Employee motivation is considered as a force that drives the employees toward attaining specific goals and objectives of the organization. Now days, it is one of the sizzling issue in organizations since every wants to make best use of their human resources. Main purpose of this study is to inquire what kind of factors influence employees motivation. And finding up to which extent motivation affects the employee performance. Data is collected from 153 employees of Celebrity’s Fashion by using questionnaire method completion analysis is applied to find the effect of employee motivation on employee’s performance involving four variables employee motivation, employee performance, intrinsic rewards and employee perceived training effectiveness. The results of this study show that significant and positive relationship exists between employee motivation and employee performance. It is also concluded that intrinsic rewards has a significant positive relationship with employee performance and employee motivation. This study concludes that employee perceived training effectiveness has a negative relationship with motivation. It is also proved responses, they were provided with the training courses but this training was not implemented by them in their routine teaching as they considered it to be ineffective. They were not satisfied with the training provided to them and this affected their motivation.
CMS Content Types for CBOR

CBOR is becoming a widely used method of doing content encoding. CMSis still a widely used method of doing message based security. Thisdocument defines a set of content types for CMS that hold CBORcontent. Contributing to this document This note is to be removedbefore publishing as an RFC. The source for this draft is beingmaintained in GitHub. Suggested changes should be submitted as pullrequests at TBD. Editorial changes can be managed in GitHub, but anysubstantial issues need to be discussed on the COSE mailing list.
Eyeball controlled wheelchair using Raspberry Pi

In the growing world of technological advancements, here comes another small uphill. The Eyeball Controlled Wheelchair (ECW). The major purpose of this concept is to make locomotion possible, not only to people who find it difficult to move with their legs but also people whose motor limbs are not functional. Thus controlling a wheelchair with just eyeball movement. The applications of the eye tracking and movement are more efficiently rather than controlling the wheel-chair with a Remote Control operated by motor organs.
FIS: Facial Information Segmentation for Video Redaction

The camera is a ubiquitous and inseparable part of our daily life. However, the camera also puts people's privacy at risk because people are more likely to be unexpectedly captured due to the increased amount of cameras. Video redaction systems have been proposed to selectively redact facial information in a video. However, they are either not secure enough to protect all facial information or too secure to redact image areas not revealing facial information. To solve this problem, this paper proposes the Facial Information Segmentation algorithm (FIS) that combines the Harris Corner, the color information and an off-the-shelf face detection algorithm to identify pixels revealing facial information. We evaluate this method by comparing it with the human trace tracking (HTT) and an off-the-shelf face detection algorithm (FD) proposed in earlier works. The result demonstrates that FD is unsuitable for video redaction. Further, compared with HTT, FIS achieves higher background preservation with negligible loss of video privacy in most cases.