Reviewerly/exHarmony huggingface dataset:
A NATURAL LANGUAGE PROCESSING MODEL FOR TEXT TO SPEECH AND SPEECH TO TEXT CONVERSION

Technology is getting sophisticated as days are passing by. Many inventions, research and development activities are being happening all around the world to help everyone in need. A natural language processing model for speech to text and text to speech conversion is one among those technologies. The prime motivation of the project is to convert the speech into a visible text for the user enabling the deaf to learn the information while the other part of the work which is text to speech conversion helps the blind to hear the information. Integrating a wide range of systems with loads and lots of sophisticated calculations and computations of various aspects of language and the development of wide range of systems. These systems integrate spoken language mechanism , cooperative interface to knowledge and databases, that do considerate and model the aspects of human to human interaction , multilingual interfaces , machine translation and the message understanding systems among others. Any research in the domain of natural language processing system will do comprise the most complex topics of computer science, logic, linguistics and psychology. This domain of natural language processing possess an exceptional acknowledgment in the parenthood of computer science because of its contribution and a numeral aspects in this field deal with linguistic features of computational and the natural language processing seeks to model language computationally. Gaining fluency in language is an incommodious task. Many software were having its pace in the market to make it a cakewalk. Our prime aim is to develop a software that enhances the user's way of speech through correctness of pronunciation following the English phonetics by converting that into text. Speech-to-text-conversion is a useful tool for integrating people with hearing impairments in oral communication settings, e. g. counselling interviews or conferences. This software allows one to learn, judge and recognize their potential in English language. It also facilitates an extra add-on feature which nourishes the user's communication skills by an option of text to speech conversion also
Pengaruh Pemberian Reinforcement terhadap Hasil Belajar Kosakata Bahasa Mandarin Siswa TKB Picket Fence Pre-School

The goal of this research was to find the effect of reinforcement on the kindergarten B students’ learning achievement in Mandarin vocabulary. The researcher used quantitative with quasiexperiment type and pre-test and post-test design. The sample of this research was all of the kindergarten B students at Picket Fence Pre-School, specifically experimental group consisted of 20 students and control group 20 students. The hypothesis was that there was an effect of reinforcement on students’ learning achievement in Mandarin vocabulary. The t-test result showed that reinforcement had a significant effect on students’ achievement in vocabulary. The post-test result in experimental group was 87,5; while the post-test in control group was 79,5. It was found that tcount > ttable with tcount was 2 while ttable was significantly 5% with dk = 38 that was 1,69. Thus, Ha was accepted and Ho was rejected. Based on the explanation above, it was concluded that reinforcement had a significant effect on kindergarten B students’ learning achievement in Mandarin vocabulary at Picket Fence Pre-School.
Reflections of Research: halo in the heart

The annual image competition, Reflections of Research, provides a glimpse into the cutting-edge heart and circulatory research funded by the British Heart Foundation.
Data Privacy Preservation using Aes-Gcm Encryption in Heroku Cloud

The increasing popularity of cloud data storage and its ever-rising versatility, shows that cloud computing is one of the most widely excepted phenomena. It not only helps with powerful computing facilities but also reduce a huge amount of computational cost. And with such high demand for storage has raised the growth of the cloud service industry that provides an affordable, easy-to-use and remotely-accessible services. But like every other emerging technology it carries some inherent security risks associated and cloud storage is no exception. The prime reason behind it is that users have to blindly trust the third parties while storing the useful information, which may not work in the best of interest. Hence, to ensure the privacy of sensitive information is primarily important for any public, third-party cloud. In this paper, we mainly focus on proposing a secure cloud framework with encrypting sensitive data’s using AES-GCM cryptographic techniques in HEROKU cloud platform. Here we tried to implement Heroku as a cloud computing platform, used the AES-GCM algorithm and evaluate the performance of the said algorithm. Moreover, analyses the performance of AES/GCM execution time with respect to given inputs of data
Hardware Based Data Compression using Lempel-Ziv-Welch Algorithm

With the advent of increased computations, there is an expansion in the amount of data that must be stored and transmitted. This growth has led to a need to compress data. Less storage space and memory are required to store the compressed data. Transferring compressed files is easier and faster. Compression also results in reduction in cost for network bandwidth. In high speed applications, data is sampled at a faster rate. In order to compress this data, fast data compression system is desired. Software methods are often not fast enough. The idea is to design a dedicated hardware for compressing data on Field Programmable Gate Array (FPGA) with the help of hardware description language - Verilog. This paper presents a lossless compression technique - Lempel-Ziv-Welch (LZW). This technique is used for text compression and has very high throughput in hardware implementations. The results obtained after testing with various text files using Xilinx ISE tool shows that the proposed system works with good accuracy without any complex structure and gives a compression ratio of about 1.5:1, which can be further improved to get better compression.
Self Monitoring of White Blood Cells Cancer Diseases

Self Monitoring analysis of white blood cell cancer disease such as Leukemia and Myeloma is a hard biomedical learn subject. Our go in the direction of present planned for the main time a novel state of the picture ask for so as help in identify the pallid blood cell disease. We divide these disease eager on two categories; every collection include comparable indication disease so as to might puzzle inside make a analysis. base on top of the doctor’s diversity, single of two approach be apply. every shift toward be sensible in the way of single of the two disease category from side to side compute unlike skin. eventually, a accidental Forest classifier be obliging intended for the last choice. The prospect move in the direction of aim in the direction of early on discovery of white blood cells cancer, decrease the misdiagnosis luggage inside addition in the way of humanizing the scheme information method. also, allow the expert just in the direction of contain the last change on the result obtain as of the system
Error-transparent operations on a logical qubit protected by quantum error correction

Universal quantum computation1 is striking for its unprecedented capability in processing information, but its scalability is challenging in practice because of the inevitable environment noise. Although quantum error correction (QEC) techniques2–8 have been developed to protect stored quantum information from leading orders of error, the noise-resilient processing of the QEC-protected quantum information is highly demanded but remains elusive9. Here, we demonstrate phase gate operations on a logical qubit encoded in a bosonic oscillator in an error-transparent (ET) manner. Inspired by refs. 10,11, the ET gates are extended to the bosonic code and are able to tolerate errors on the logical qubit during gate operations, regardless of the random occurrence time of the error. With precisely designed gate Hamiltonians through photon-number-resolved a.c. Stark shifts, the ET condition is fulfilled experimentally. We verify that the ET gates outperform the non-ET gates with a substantial improvement of gate fidelity after an occurrence of the single-photon-loss error. Our ET gates in superconducting quantum circuits can be readily extended to multiple encoded qubits and a universal gate set is within reach, holding the potential for reliable quantum information processing. Error-transparent quantum gates that can tolerate certain error during the execution of quantum operations have been demonstrated. Substantial improvement of the gate fidelity sheds lights on large-scale universal quantum computation.
BitScout: Remote Digital Forensics Toolkit

Forensic Science has been full of challenges for most of the Law Enforcement Agency (LEA) as we need to physically visit the crime scene, acquire evidence, then preserve it for forensic analysis. The path of collecting evidences from crime site and then bringing it to the Forensic Labs. becomes much cumbersome as the evidence may be corrupted or altered during transit. So why not to adopt a system for readily analysis of a compromised system without going to the crime site and sitting on one’s chair or forensic workstation? The answer may be yes, we can but will it be easy and ethical to acquire evidence from a system remotely without visiting the crime scene physically. Vitaly Kamluk from Kaspersky Labs made this possible now by launching a new forensic tool called BitScout . To solve this problem, security researchers and Forensic Investigator can now use BitScout to collect remotely, key forensic evidences, to acquire full disk images via the network or locally attached storage devices, or simply to assist in malware incident handling. Evidence data can be viewed and analysed remotely or locally while the source data storage remains intact through reliable container-based isolation. BitScout is an open-source and free tool developed by security researchers for all people interested in digital forensics and cyber crimes investigations.
Managing Devices with Apple Configurator

In Chapter 4 , we explored the various ways to restrict or configure iOS devices interactively on the units themselves. As you have experienced, this manual approach can be problematic if you have more than a handful of devices to configure. Fortunately, we have tools like Apple Configurator that help us automate much of this process.
ML-based Thermal Sensor Calibration by Bivariate Gaussian Mixture Model Estimation

This paper presents a machine-learning-based post signal processing to calibrate thermal sensors. The proposed calibration scheme is shown to be immune to the interference from the environment and fulfills the high-resolution requirements of human body temperature measurements. The sensing module comprises two resistive sensing circuits, one is for sensing the external temperature, and the other is for sensing the internal die temperature. By using these two thermal outputs, we trained two-dimensional multivariate Gaussian models for several temperature intervals. Higher accuracy can be obtained via the probability-based estimation. The simulation results show high accuracy even in a noisy environment. The proposed algorithm is implemented and fabricated in UMC 0.18m CMOS-MEMS technology. The sensor chip is tested by an embedded system (ARM V2M-MPS2). The measurement results show that the proposed method can effectively improve the accuracy from 1 degree Celsius to 0.1 degree Celsius.
1 kaththa land on sale at Pragati Tole, Ithari Upamahanagarpalika-16,

Land For sale In Pragati Tole, Ward No. 16, Itahari Sub Metropolitancity, Sunsari, Pradesh 1 Nepal
The Department of Philosophy and History of Rostov State Transport University in the Panorama of Ages

This article is devoted to the history of the foundation and activities of the Philosophy and History of the Fatherland Department of the Rostov State Transport University, which celebrated its 90th anniversary in October 2019. The main periods in the history of teaching social sciences in the system of national higher education are outlined and, in accordance to them, the traditions of formation and activity of the departments of humanities in the Rostov State Transport University are considered, which became the predecessors of the modern Department of Philosophy and History of the Fatherland. Conclusions are drawn about the role of heads of departments of Social Sciences of Rostov State Transport University in the formation of traditions of teaching humanities in a technical university.
Analisis Tingkat Kejahatan Pada Anak Dibawah Umur Menggunakan Metode FP-Growth

Crimes in minors are a series of negligence by parents who endanger or pose a dangerous threat to the child. The purpose of this study is to implement Data Mining, Association rule, and the FP-Growth Algorithm in cases of juvenile crime so that it can extract knowledge and important and interesting information from the database. The data source used is raw data that has not been processed and is a crime data on minors which are summarized in the form of reports from the West Sumatra Regional Police. The results of this study are in the form of software by analyzing data collected using the FP-Growth Algorithm and using the concept of FP-Tree development in searching for Frequent Itemset, for testing the results carried out with applications that have been designed namely the Php programming language. The results of testing are obtained from associations of crime cases that often occur in minors. So it can be seen that data mining using the Fp-Growth Algorithm can be used to analyze cases of crime in minors as a material consideration for the police in order to know the ins and outs of crime in children so that it can assist the investigation process.
PKM di SMK Wira Harapan Kabupaten Badung Provinsi Bali

Wira Harapan Vocational School was established in 2008 on 4,500 m2 of land located on Jl, Raya Padang Luwih, Tegal Jaya Dalung, North Kuta District, Badung Regency, Bali Province. Wira Harapan Vocational School is supported by 60 teachers, consisting of permanent foundation teachers, contract teachers and honor teachers. Wira Harapan Vocational High School has 20 education staff consisting of permanent employees, contract employees and honorarium employees. In the 2017/2018 school year, Wira Harapan Vocational High School has 1.525 students, consisting of 522 class X students, 501 grade XI students, and 502 class XII students who are scattered into 42 study groups. The problem found in Wira Harapan Vocational School is the low understanding of teachers on electronic-based compilation in this PKM called E-module. The solution offered is to carry out workshops to improve teachers' understanding and skills regarding the procedures and mechanisms for the preparation of e-modules and mentoring (guided practice) is a follow-up to the workshop to improve teacher skills in preparing e-modules. The results achieved from this PKM activity are the increasing ability of teachers to prepare e-modules in accordance with the procedures for developing e-modules and the formulation of e-modules for each subject.
PENGARUH MINAT BACA DAN KEAKTIFAN BELAJAR SISWA TERHADAP PRESTASI BELAJAR MATA PELAJARAN KORESPONDENSI

ABSTRACT The purpose of this study is to determine: (1) the significant impact of reading interest with the learning achievement on the subjects of correspondence; (2) the significant impact of students participation with the learning achievement on the subjects of correspondence; (3) the significant impact of reading interest and students participation with the learning achievement on the subjects of correspondence. This research is a type of quantitative research using a correlational approach. The population in this research were all students of class X Automation and Office Administration at Vocational High School Batik 1 Surakarta which amounted to 83 students. The sampling technique used is total sampling. Technique of collecting data used was questionnaire and documentation. The data analysis techniques using multiple linier regression analysis. The results of the research showed: (1) there is significant impact between reading interest with the learning achievement on correspondence. It can be shown by the statistical t test of (2,421 > 1,99); (2) there is significant impact between students participation with the learning achievement on. It can be shown by the statistical t test of (3,958 > 1,99); (3) there is significant impact between reading interest and students participation with the learning achievement on correspondence. It can be shown by the statistical F test of (40,416 > 3,11). the results of this research indicate an effective contribution together by 50.3% and the remaining 49.7% is impact by other variables not included in this research. Keywords        : reading interest, students participation, learning achievement
Recreating the Creation:

Recreating the creation is on the trail of a theory of remix. Using the example of the debut album of the Icelandic band Sigur Ros, the question is asked how nature sounds and pop songs relate to each other and in the tension between production, composition and sampling. In doing so, contemporary poetics and techniques of music production are historically and aesthetically contextualized with the practice of a music that not only wants to reinvent itself, but refers to existing music and sounds.
Speech recognition system using Deep Neural Network

Speech recognition is the property of a system to identify the words spoken by the user in a scripted language and convert the data to a readable and writable format. The work carried out was able to convert the speech to text. Using the speech as instructions to perform many web-based services, system bound tasks. Deep learning with deep neural networks coded in python is implemented in this paper which makes the system more reliable, robust against noise, and with an accuracy of 70%.
Spatial systematic mismatch assessment of pre-arranged layout topologies

A spatial systematic mismatch, occurring in the integrated circuit manufacturing process, leads to differences in parameters for two or more identical devices. It is widely accepted that placing devices into symmetrical patterns reduces the spatial systematic mismatch between their parameters. In this paper, a novel method based on linear and nonlinear parameter gradient modeling for the assessment of pre-arranged matched structures has been proposed. The direction of a parameter gradient against a layout topology on a wafer is unknown. The pre-arranged layout pattern is rotated against the modeled parameter gradient. In each step of the rotation, for example, with a 1-degree resolution, the mismatch between parameters is calculated. The peak mismatch value is then used for the comparison of the different pre-arranged patterns. The proposed method is independent of technology.
Research Committee Update

In official SEG terms, the Research Committee (RC) serves to improve communication among earth scientists interested in applied research, to advise the SEG Board of Directors on research matters, to identify research topics worthy of focused workshops, and to organize those workshops. The RC meets twice a year, with much of the committee's business conducted by e-mail. Membership is open to all researchers.
Bringing Earthquake Education to Schools in Nepal

The Seismology at School in Nepal program aims to prepare rural communities for the next big earthquake.
Quality characteristics of Ilmenit minerals in the south central of Vietnam by SEM and QEMSCAN analysis

Placer deposit along the South Central Coast of Viet Nam is formed by the enrichment of heavy minerals through a combination of transportation, weathering, erosion and deposition processes. Ilmenite placer forms continuously along the South Central Coast from local origin when the shoreline is far from the modern shoreline formed during the marine transgression process from the late Plestocene to Holocene. The morphological and localization characteristics of Ilmenite have been clarified on the distribution trend with SEM method combined with QEMSCAN. Meticulous research on Ilmenite's grain structure and chemical composition in the study area has shown a tendency to significantly enrich the quality of Ti placer according to the upward trend in the north-south direction. In the south, the Ilmenite placer has smaller particle size but better selective roundness and better quality than in the northern part of the study area. The enrichment of TiO2 content with increasing trend from North to South was observed due to the strong weathering process associated with ancient coastline which is very far away from current shoreline so heavy minerals are accumulates locally and light minerals are carried away. The southern region of the South Central Coast region is home to the highest gap between the ancient shoreline and the current coastline. This study has shown the trend of the quality distribution of Ilmenite as well as of other heavy minerals as the basis for future mineral exploration planning.
Designing Linked Open Data based Institutional Digital Repository: A Framework for Semantic Web

Abstract Semantic web is increasing in day to day online activities. Linked open data is a core concept in semantic web online environment. Open source software is also an important and inevitable in the field of institutional digital repository. This paper has been selected EPrints software for designing the institutional digital repository. Apart from this it also select the Apache Fuseki Jena open source software based on java. However, the two main purposes are (i) how to display the linked open data in EPrints & DSpace (ii) How to import this linked open data by using the Apache Jena Fuseki for retrieving the linked data among the users as well as library professionals. All the linked data have been display in Apache Jena Fuseki interface. Finally linked data can be display in three ways subject, object, and predicate for managing the linked resources available in Eprints and DSpace. SPARQL end point and RDF query is also possible by using this integrated framework for designing and developing the linked open data based institutional digital repository. Keywords: Linked open data, DSpace, EPrints, Apache Jena Fuseki, SPARQL, institutional digital repository Cite this Article Sukumar Mandal. Designing Linked Open Data based Institutional Digital Repository: A Framework for Semantic Web. Journal of Advancements in Library Sciences. 2019; 7(1); 7–15p.
Avaliação dos componentes de informação do sistema de vigilância da Paraíba: Coqueluche

The Epidemiological Surveillance has already been through several redefinitions of concepts.Between VII and VIII centuries, surveillance was related to isolation, also called quarantine, years later it became a public health instrument, with the purpose of collecting, processing and analyzing important information for prevention and control of a certain disease.Objective: the purpose of this research was to evaluate the information components of the Epidemiological Surveillance System for whooping cough in the state Paraíba.Methods: this is a descriptive evaluative study, with evaluation of the Information System of the Epidemiological Surveillance of whooping cough in the State of Paraíba, from secondary data, retrospective period of 2008 to 2015.For the evaluation of the systems were used the following indicators: completeness, external completeness, sensitivity, representativeness and opportunity, these data were analyzed using the ECDC recommendations.Results: the results of the evaluation indicates that the Surveillance System in the state of Paraíba it's a little complex, showing fragility in the flow of some information.Conclusion: it's recommended to have an integration between the health services and vigilance, contemplating a chain of transference of data and constant training for the professionals involved in the system.