Reviewerly/exHarmony huggingface dataset:
A Block-chain Based Network Security Mechanism for voting system

With the stable progress in the technological world, concern for safety also enlarge day by day. Protection like keys can be simulated quite easily. This paper aims to avoid theft and crime at bank locker. A smart security system with the use of Raspberry-Pi microcontroller, piezo-Electric, PIRSENSOR, Camera Module and a buzzer is proposed. The security system be based on a knocking which can be install to a ‘safe’ or any other similar object which wants protection. The lock unlocks only when a certain secret knocking pattern is implemented and a mail alert is sent by detecting their face if anyone tries to sneak into contents by knocking differently. This concept eliminate the fear of duplication as there is no physical unlock object to start with. Thus, the smart ‘Knock Based Security System’ is added protection in our everyday lives. Raspberry-pi board which act as a microcontroller unit. The piezo sensor takes the knocking input as well as facial recognized input and then passes it to the pi board where the input pattern and face detection is compared with the original Secret pattern. Using IOT, mail will be sent to the required person. Now-days technology advances many countries have now opted for electronic voting system. Any voting system must follow principles of transparency and impartiality in order to achieve fairness; the electronic voting process must also be protected against cyber-attacks or denial–of-service attacks (DDOS) because such attacks may affect the processing time in voting procedures and even hinder the fairness in voting. It establishes a network security mechanism for voting systems based on block chain technology. The block chain mechanism employs a distributed architecture that can prevent shutdown resulting from malicious cyber-attacks; additionally, any user in the block chain can authenticate data integrity, which satisfies requirements of transparency and impartiality in voting systems. It denotes bilinear pairing to establish network security in voting systems, which call for anonymity, authenticity, integrity, and non-repudiation. When authenticating voting integrity, the user’s anonymity must be ensured to prevent identity revelation, and the data must be protected against malicious tampering such security measures also fulfil block chain requirements. The proposed voting system relies on the basis of block chains to create a trust worthy voting system. In current block chain technology, smart contracts allow the establishment of voter-related regulations to prevent controversies during voting processes. A additionally, in order to establish both a secret ballot and an open ballot system, the study also implements a bilinear pairing security mechanism to ensure the overall security of a voting procedures.
CHARACTERISTICS OF THE PHENOMENON “RESEARCH ACTIVITIES OF PhD STUDENTS”

The problem of effectiveness increase of preparing PhD students for successful independent research activities becomes particularly relevant in modern conditions, which is caused by the growing need of developing industry, changes in all spheres of society, including the field of education. One of the main tasks of the educational process in postgraduate school is to prepare students for independent research activities. The article defines the essence and content of the basic concepts of the study. Studying the problem posed we analyzed the literature, synthesized the existing scientific knowledge, reflected on the philosophical and pedagogical provisions to determine the essence of the phenomenon under study. The result of this work is the presentation of the phenomenon “research activities of students in postgraduate school” as a special kind of cognitive activity carried out in the educational process of the university and aimed at studying various objects to obtain new knowledge for transforming the surrounding reality; and the activation of the researcher – position in students through the development of skills to use methods, tools, research procedures for ensuring high results of future research activities. The objectives, functions of this activity and its difference from other levels of education (Bachelor, Master) were also identified. The novelty of the research is in denoting the characteristics of the phenomenon under study (goals, objectives, functions, species). The reviewed provisions can be the basis for practicing educators to implement postgraduate higher education programmes.
IMPLEMENTATION OF ENTERPRISE ARCHITECTURE WITH TOGAF METHOD ON EMPLOYEE COOPERATIVE INFORMATION SYSTEM

Currently the world of technology and information systems has entered the era of 4.0 or even 5.0, then the thing that happens is that more and more organizations and agencies are trying to update their business process styles from manual to all-round technology. An organization, institution or agency really needs the support of an information technology to improve its performance and services to stakeholders. Likewise, what happened to the savings and loan cooperative PT. Indolakto Sukabumi to manage members 'data, loans, or members' deposits, this cooperative needs facilities and infrastructure that support the performance of its activities quickly, accurately and accurately. One of the things that must be done in this research, especially for the progress of this cooperative is to conduct analysis, research and implementation of an Enterprise Architecture can provide various benefits when combined with technology-based management systems and information will certainly be needed for all sectors of any organization. Implementation and implementation of EA Togaf Adm conducted in research in savings and loan cooperatives at PT. Indolakto Sukabumi is a very good breakthrough for the progress of the cooperative &#x0D; Keywords: Era 4.0, Era 5.0, cooperative, Enterprise Architecture, Togaf Adm.
Automated Text Summarization for the Enhancement of Public Services

Natural language processing and machine learning algorithms have been shown to be effective in a variety of applications. In this work, we contribute to the area of AI adoption in the public sector. We present an automated system that was used to process textual information, generate important keywords, and automatically summarize key elements of the Meadville community statements. We also describe the process of collaboration with My Meadville administrators during the development of our system. My Meadville, a community initiative, supported by the city of Meadville conducted a large number of interviews with the residents of Meadville during the community events and transcribed these interviews into textual data files. Their goal was to uncover the issues of importance to the Meadville residents in an attempt to enhance public services. Our AI system cleans and pre-processes the interview data, then using machine learning algorithms it finds important keywords and key excerpts from each interview. It also provides searching functionality to find excerpts from relevant interviews based on specific keywords. Our automated system allowed the city to save over 300 hours of human labor that would have taken to read all interviews and highlight important points. Our findings are being used by My Meadville initiative to locate important information from the collected data set for ongoing community enhancement projects, to highlight relevant community assets, and to assist in identifying the steps to be taken based on the concerns and areas of improvement identified by the community members.
The Effect of Macroeconomics and Global Commodity Prices on Mining Index on Indonesia Stock Exchange for The Period of August 2016 - February 2019

This study aims to find out the effect of macroeconomics and global commodity prices on mining stock index.This study used causative method.The data used in this study comprised the data of monthly mining stock index, monthly exchange rate of Indonesian rupiah to US Dollar, monthly inflation, monthly oil price and monthly world gold price.There were 32month data used as the sample (August 2016 -February 2019).The data were analyzed using multiple linear regression.Based on the tests carried out, it was found that gold price, world oil price and exchange rate had a significant positive effect on mining stock index, while inflation did not significantly influence mining stock index.
THE CHALLENGES &amp; OPPORTUNITIES OF E-VERIFICATION AND E-VOTING ON SIMULTANEOUS VILLAGE HEAD ELECTIONS (PILKADES) IN PEMALANG REGENCY IN 2018

Pemalang Regency is one regent first trial national who establish e-verification and e-voting on Pilkades simultaneously and in 2018 in 172 villages. Method observation during the pilkades found that with e-ID card e-verification followed e-voting in practice is strongly influenced by use of technology local electronic based and networks. This study found several challenges influence the pilkades simultaneously in Pemalang Regency 2018 years, namely a lack of socialization and simulation government, unpreparedness the community, community limited infrastructure and support. The lack of socialization resulted in the process e-verification and e-voting in this when no pilkades with different pilkades that uses paper ballots, the difference the result is issued rapidly as pilkades after. Unpreparedness the community in Pilkades for 55 % of 50 over years old still stutter technology, thus the voters from outside to guide chambered sound. Unstable electricity to every village has to provide generator, and the effectiveness of the moment the networks operate generator power lines fell deeply affect the smoothness of Pilkades. Because there needs to be cooperation with the stakeholders: the local government, the voters, the committee/Pilkades officers, BPPT and PT. INTI as developing technology, and PLN. In terms of chances, the Pilkades simultaneously in Pemalang Regency in 2018 has found that accuracy and speed the Pilkades, the efficiency of the funds and the time, the integrity of the committee, elector of the privacy of the voting booth well maintained. It means operational the contraints to be covered by the integrity committee/officers and security system of keeping the votes voters behind the voting booth. Keywords: e-verificaton, e-voting, networks, integrity, and the security system.
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Extending Deep Knowledge Tracing: Inferring Interpretable Knowledge and Predicting Post-System Performance

Recent student knowledge modeling algorithms such as Deep Knowledge Tracing (DKT) and Dynamic Key-Value Memory Networks (DKVMN) have been shown to produce accurate predictions of problem correctness within the same learning system. However, these algorithms do not attempt to directly infer student knowledge. In this paper we present an extension to these algorithms to also infer knowledge. We apply this extension to DKT and DKVMN, resulting in knowledge estimates that correlate better with a posttest than knowledge estimates from Bayesian Knowledge Tracing (BKT), an algorithm designed to infer knowledge, and another classic algorithm, Performance Factors Analysis (PFA). We also apply our extension to correctness predictions from BKT and PFA, finding that knowledge estimates produced with it correlate better with the posttest than BKT and PFA's standard knowledge estimates. These findings are significant since the primary aim of education is to prepare students for later experiences outside of the immediate learning activity.
Wasserstein distances for evaluating cross-lingual embeddings

Word embeddings are high dimensional vector representations of words that capture their semantic similarity in the vector space. There exist several algorithms for learning such embeddings both for a single language as well as for several languages jointly. In this work we propose to evaluate collections of embeddings by adapting downstream natural language tasks to the optimal transport framework. We show how the family of Wasserstein distances can be used to solve cross-lingual document retrieval and the cross-lingual document classification problems. We argue on the advantages of this approach compared to more traditional evaluation methods of embeddings like bilingual lexical induction. Our experimental results suggest that using Wasserstein distances on these problems out-performs several strong baselines and performs on par with state-of-the-art models.
STUDENTS’ PERCEPTIONS IN USING ELECTRONIC DICTIONARIES IN LEARNING ENGLISH (A QUALITATIVE STUDY AT ENGLISH EDUCATION DEPARTMENT SYIAH KUALA UNIVERSITY, BANDA ACEH

The purpose of this research is to investigate students’ perspective in using electronic dictionaries in learning English. The subjects are the students in English Education Department of Syiah Kuala University who are in semester 6 to semester 12. However, only those who filled the questionnaire were taken as sample in this research and 10 students were selected to be interviewed. Meanwhile, the object of this research is focused on the students’ perception in using electronic dictionaries in learning English. This is a qualitative research using questionnaire and interview as the method. The questionnaire distributed was developed from theory proposed by Metruk (2017), Zheng and Whang (2016), Nesi (2009), Alhaisoni (2016), Dashtestani (2016), Amirian and Heshamatifar (2018), and Rezaei & Davoudi (2016). The result of the study shows that the students have a positive attitude toward the use of electronic dictionaries. The findings reveal that although electronic dictionaries provide some benefits to improve vocabulary learning, but there are also some obstacles like a number of advertisements in some electronic dictionaries made students uncomfortable in accessing the electronic dictionaries, the vocabularies in electronic dictionaries are incomplete and eye health issue made some students could not be able to see their smartphone scree for a long time.
Deep Clustering of Compressed Variational Embeddings

Motivated by the ever-increasing demands for limited communication bandwidth and low-power consumption, we propose a new methodology, named joint Variational Autoencoders with Bernoulli mixture models (VAB), for performing clustering in the compressed data domain. The idea is to reduce the data dimension by Variational Autoencoders (VAEs) and group data representations by Bernoulli mixture models (BMMs). Once jointly trained for compression and clustering, the model can be decomposed into two parts: a data vendor that encodes the raw data into compressed data, and a data consumer that classifies the received (compressed) data. In this way, the data vendor benefits from data security and communication bandwidth, while the data consumer benefits from low computational complexity. To enable training using the gradient descent algorithm, we propose to use the Gumbel-Softmax distribution to resolve the infeasibility of the back-propagation algorithm when assessing categorical samples.
Solution to the Gliding Tone Problem

The solution is given to the classical problem of an oscillator driven by a sinusoid of steadily-varying frequency. A closed analytical expression is obtained in the case where the Q-factor of the oscillator is high, equivalent to the rotating wave approximation of atomic physics. In this case all independent variables of the system combine into a single parameter. The results are compared with previous work: series and other approximations, numerical calculations, graphical solutions and analogue simulations. Attention is paid to the distortion of the resonance -- specifically frequency shift and amplitude attenuation -- consequent upon the finite sweep rate. The frequency shift is interpreted as a delay in the appearance of the resonance peak; to leading order this time delay is twice the oscillator's ring-down time. Measurements on a high-Q oscillator are consistent with the mathematical solution.
CONDITION OF DEVELOPMENT AND PROBLEMS OF MODERN EDUCATION FOR ADULTS

The monograph is devoted to the consideration of theoretical and applied aspects of the modern pedagogy and psychology.In particular, the essential properties of current training of future specialists, factors of its effectiveness, its key elements, principles, functions, means and techniques of project training and features of using the project method from the positions of the competence approach are analysed.The signs of the traditionally leading institution of socialization have been defined: conservatism, unification, limitations of influence in time, and the existence of a corps of professional socializers. The importance of a detailed study of the problem of marginalization, the conditions and resources for the demarginalization of the pedagogical community and its individual segments have been emphasized.In addition, the main trends and directions in the study of ethnogenesis, ethnic consciousness and ethnic culture of the Crimean Tatars are being considered.
Students Ability in Constructing Paragraph of Recount Text

Writing skills is one type of language skills which should be controlled by the student. The students must be familiar with English especially to writing skill which write about their experience at the past time or to write recount text. For this reason, the researcher intended to investigate the students’ ability in constructing paragraph of recount text. The objective of this research is to measure students’ ability in constructing paragraphs and find out the causes of error made by the students. The design of this research is quantitative decriptive to measure students ability in constructing paragraphs at recount text. The population was students Madrasah Aliyah Negeri Model Sorong Grade XII. The technique of collecting data, the students were assigned to write the paragraphs in personal recount text based on their experiences in 60 minutes so the students decided the theme by themselves. The result of this research shows that 10 students score 43,4 % in good, then the students category of average was 9 students (39,1 %), and the students category of excellent was 4 students (17,1 %). The writer concluded that the students ability in constructing paragraph was average.
Penggunaan Metode Nn Untuk Mengukur Pengaruh Web Promosi Dan Faktor Harga Terhadap Penjualan Kain Tenun Oleh Pengrajin di Pringgasela Lombok Timur

Selling woven fabric products using an online system will certainly lead to lower production costs and lower selling prices. Online selling requires a concept and a mature mind to find out important things that can attract consumers to visit the website and make purchases. With this research the seller will get an overview of the things that can attract consumers to purchase woven fabric based on several variables studied, like the promotion website and the selling price of woven fabric. From this variables seller can find out which variable has the most influence on the buyer's decision to purchase Lombok woven fabric, in this case the researcher conducted a study on this matter by analyzing using the Neural Network (NN) model. Base on the analysis that has been done, a result is obtained, where the variables that have the greatest influence on the purchase decision of woven fabric are prices and websites with an accuracy level of PRED (.25) of 95%. DOI : 10.29408/jit.v2i1.975
Proposal of Abnormal Sound Detection System using OCSVM

In order for a machine to operate safely, it is one of the very important factors to quickly and accurately detect an abnormality. However, it is difficult to detect accurately and always monitor the machine by human decision. Daily inspections of machines are generally performed by monitoring images, vibrations, temperature and pressure. However, it is commonly thought that inspections using sound is difficult because sound is different how to hear depending on the person. In addition, machine learning came to be used easily on these days. In this study, we examined whether machine abnormalities can be detected using machine learning. To prepare for the research, the abnormal machine sounds were needed. However, it is difficult to collect the abnormal machine sound. In this research, to generate the abnormal sound easily, we build a machine operation sound generator. Some abnormal sounds were generated by applying a load to this device. We extracted features quantity called Mel-Frequency Cepstrum Coefficient(MFCC) from machine operation sounds. MFCC is one of the feature quantity and is popular as a method of sound recognition. Subsequently, abnormal sounds were detected by using One Class Support Vector Machine (OCSVM). OCSVM is a method to regard normal data as one class and detect other than normal data. The one of the merits of OCSVM can detect abnormal data by using results of learning only normal data. We did some experiments that we assumed that the sounds of first day were normal sounds and the other sounds assumed abnormal sounds. As a result, the abnormality rate on the fourth day was 78.94% and we conclude that abnormal sounds could be detected from machine operation sounds.
Electromagnetic fault injection against a System-on-Chip, toward new micro-architectural fault models

Electromagnetic fault injection (EMFI) is a well known technique used to disturb the behaviour of a chip for weakening its security. These attacks are mostly done on simple microcontrollers. On these targets, the fault effects are relatively simple and understood. Exploiting EMFI on modern system-on-chips (SoCs), the fast and complex chips ubiquitous today, requires to understand the impact of such faults. In this paper, we propose an experimental setup and a forensic process to create exploitable faults and assess their impact on the SoC micro-architecture. On our targeted SoC (a BCM2837), the observed behaviours are radically different to what were obtained with state-of-the-art fault injection attacks on microcontrollers. SoC subsystems (L1 caches, L2 cache, memory management unit (MMU)) can be individually targeted leading to new fault models. We also highlight the differences in the fault impact with and without an operating system (OS). This shows the importance of the software layers in the exploitation of a fault. With this work, we demonstrate that the complexity and the speed of SoCs do not protect them against hardware fault attacks. To conclude our work, we introduce countermeasures to protect the SoC caches and MMU against EMFI attacks based on the disclosed faults effects.
New quaternary codes derived from posets of the disjoint union of two chains

Based on the generic construction of linear codes, we construct linear codes over the ring $\Bbb Z_4$ via posets of the disjoint union of two chains. We determine the Lee weight distributions of the quaternary codes. Moreover, we obtain some new linear quaternary codes and good binary codes by using the Gray map.
Adaptive and Iteratively Improving Recurrent Lateral Connections

The current leading computer vision models are typically feed forward neural models, in which the output of one computational block is passed to the next one sequentially. This is in sharp contrast to the organization of the primate visual cortex, in which feedback and lateral connections are abundant. In this work, we propose a computational model for the role of lateral connections in a given block, in which the weights of the block vary dynamically as a function of its activations, and the input from the upstream blocks is iteratively reintroduced. We demonstrate how this novel architectural modification can lead to sizable gains in performance, when applied to visual action recognition without pretraining and that it outperforms the literature architectures with recurrent feedback processing on ImageNet.