Reviewerly/exHarmony huggingface dataset:
Prime Ideals in Matrices over Γ-Semihyperrings

The semihyperring structure is a common form of the hyperring structure with weakening properties. The more general structure is Γ-semihyperring, whose concept is generalized from Γ-semiring. This paper will show that the top matrix Γ-semihyperring is also Γ-semihyperring. The linkage between prime ideal of Γ-semihyperring with prime ideal of a matrix on Γ-semihyperring will also be discussed in this paper.
Data-Driven Never-Ending Learning Question Answering Systems

This tutorial focuses on how to build Question Answering (QA) syetems based on the Never-Ending Learning (NEL) approach. NEL systems can be roughly described as computer systems that learn over time to become better in solving a specific task. Different NEL approaches have been proposed and applied in different tasks and domains. Recent advances encourage us to keep addressing the problem of how to build computer systems that can take advantage of NEL principles. Considering that it is not always so straightforward to have NEL principles applied to ML models, this tutorial guides the audience (with hands-on examples and supporting theory, algorithms and models) on how to model a system in a NEL fashion and intends to help KDD community to become familiar with such approaches. Question Answering is chosen as application domain mainly because of the relevance of the topic (QA) for KDD and AI communities in general.
PENERAPAN MODEL PEMBELAJARAN BERBASIS MASALAH (PBM) UNTUK MENINGKATKAN HASIL BELAJAR MATEMATIKA SISWA KELAS V SDN 30 PEKANBARU

The background of this research is that there are several symptoms in the process of learning mathematics, namely: 1) passive / inactive students are characterized by the absence of questions after the teacher explains. 2) the number of noisy students is seen from the number of students who walk to see the assignment exercises given by the teacher. 3) the number of students who do not understand and understand is seen from the number of students who repeatedly ask when given practice. This research is a classroom action research that aims to improve student mathematics learning outcomes by applying problem-based learning models. This research was conducted in class V SDN 30 Pekanbaru. Data collection instruments in this thesis are teacher and student activity sheets and student learning outcomes assessment sheets. This thesis presents preliminary data before applying the problem-based learning model (PBM) which is 79.17 and increased to 83.04 in the first cycle and increased again to 92.60. Teacher activity also increased at each meeting, namely 65% with a good category in the first cycle the first meeting increased to 70% with a good category. In the second cycle also increased to 90% with a very good category at the first meeting and increased to 95% with a very good category at the second meeting. In the results of this study student learning outcomes have increased after applying the problem-based learning model (PBM) marked by an increase in teacher and student activities in each cycle. The results of this study prove that the problem-based learning model can improve mathematics learning outcomes of fifth grade students of SDN 30 Pekanbaru.
Image Captioning Using Deep Learning

Abstract: Consequently making the description or title of an picture utilizing any common dialect sentences could be a exceptionally challenging assignment. It requires both strategies from computer vision to get it the substance of the picture and a dialect show from the field of common dialect preparing to turn the understanding of the picture into words within the right arrange. In addition to that we have examined how this demonstrate can be implemented on web and will be open for conclusion client as well. Our venture points to implement an Picture caption generator that responds to the client to induce the captions for a given picture. The extreme reason of Picture caption generator is to create user’s encounter way better by producing mechanized captions. We can utilize this in picture ordering, for outwardly disabled people, for social media, and a few other common language processing applications. Profound learning strategies have illustrated stateof-the-art comes about on caption era issues. What is most impressive almost these strategies could be a single end-to-end show can be characterized to foresee a caption, given a photo, rather than requiring advanced information planning or a pipeline of specifically planned models.
Speaker diarization for multi-speaker conversations via x-vectors

This paper investigates a new way to build x-vectors based speaker diarization system for multi-speaker conversations, and explore how to improve system performance. There has been a lot of work to prove the superiority of x-vectors in speaker diarization, but it has not been applied in multi-speaker scenarios. We have studied several techniques in our system, such as dividing a long conversation into short overlapping segments to facilitate the extraction of x-vectors instead of ignoring overlapping regions, and re-classifying the labels of coincident segments after clustering to reduce errors. In addition, we enhance the training data to deal with the problem of insufficient discriminant analysis, and select the appropriate number of archives to control the iteration of training samples when training neural networks. Finally, the experimental results on the AMI croups demonstrate the effectiveness of our system. Compared with the initial system of 2018 DIHARD challenge track 2, our final result is relatively reduced by 13.21% on Diarization Error Rate (DER).
Motivation Of Students To Wellness Classes: An Individual-Personal Approach

This article is devoted to the study of the grounds for forming the motivation of university students through the use of a motivational - personal approach in conducting wellness classes. The support of the theoretical part of the article is built using the personal approach, considering a subject as an active unit of professional development with a formed need for self-actualization and self-improvement. In the process of studying theoretical developments, a number of contradictions were identified that led to the conduct of research on the indicated topics. The projective technique made it possible to identify not only the tendencies of the respondents (older and younger adolescents) towards aggression (auto-aggression), but also the attitude of the respondents to their “I” and the definition of dominant in this structure motivation in their main activities. The survey of future teachers and their reference groups made it possible to draw some conclusions about their attitude to their health, healthy lifestyle and to trace the emerging trends in its formation or their complete absence. The analysis of the data of the theoretical and practical parts of the study allowed structuring of an individual-personal approach to wellness classes, as well as highlighting the problems which solution will increase the motivation of future teachers in educational and professional activities. The necessity of creating training programs developed on the basis of a technological model that includes all the components of an individual-personal approach is emphasized; a relatively free choice of the type of motor activity is suggested.
A Framework for Nominated User-Based Secured Automated Teller Machine (ATM)Transactions for Increased Availability (Nigeria)

There is need for improve security in ATM transactions. Due to tremendous increase in the number of criminals and their activities, the ATM has become insecure. There could be situations where an account holder is incapacitated or a case of emergency that would make the account holder not to be physically present at the ATM point; ATM systems today use no more than an access card and PIN for identity verification. The Personal Identification Number (PIN) not only gives good security. The fingerprint is unique and cannot be duplicated by others. This paper combines the GSM technology and fingerprint recognition technology for identification. With fingerprint recognition technology, we embedded the GSM modem to generate the 4 digit one time password and it send to the main user mobile number only when the nominee user enrol the fingerprint. The fingerprint of the nominee and the card holder are collected and stored in the database. Every fingerprint which enrols is check by the database. The 4-digit one time password should be replied by pressing the keys on the mobile phone. After which, the customer can begin the further transaction. We also proposed room for many more nominees fingerprint identification process while actual card holder unable to do the transactions. The biometric features cannot be replicated; this proposal will go a long way to solve the problem of account safety. The Nigerian Banking sector over the years has been experiencing significant changes and development in its Information and Communication Technology. Among the development is the introduction of Automated Teller Machine (ATM) that intends to decongest the banking halls as customers now can go to any nearest ATM outfit to consummate their banking transactions such as: cash withdrawal, cash deposit, bill payments, and transfer of fund between accounts. The purpose of this paper was to measure the satisfaction of customers as regards to ATM services.
Direct Instruction Learning Model to Improve Skills in Making Variant-Stuffed Layer Cake for Students with Hearing Impairment

This research have as a purpose to increase skill of deaf children in SLB Luak Nan Bungsu Payakumbuh to make layer cake with content variation. Problem happend in learning procces is all of learning, teacher teach the students with write in the white board, without demonstration learning by teacher in this learning process  to make layer cake with fill in variation, so that ability of children to skilled to make layer cake with fill in variation. Based on the problem this research to prove that direct intruction learning can increase skill to make layer cake with fill in variation for deaf children. type of this research is classroom action research. Result of this research prove that direct instruction learning can increase skill to make layer cake with fill in variation for deaf children in SLB luak nan bungsu payakumbuh.
Pelatihan Pembelajaran Vocabulary Melalui Strategy Subtitution pada Siswa-Siswa di SMP Negeri 9 Bandar Lampung

In learning English requires skills that must be mastered. These skills include reading, writing, speaking and listening skills. The four skills are inseparable from one another. In mastering English there are various difficulties including difficulty mastering vocabulary, understanding a text, and being ashamed to practice it. So that, in the Community Service (PKM) emphasis was on mastering English vocabulary because they found word from school partners that students of SMP Negeri 9 Bandar Lampung still often had difficulty in learning English, especially in class VII (seven). This community service activity (PKM) provides training to master vocabulary easily. Namely by using the substitution strategy. Where this strategy uses words that are similar in order to be easily understood. The target of the implementation of this community service activity (PKM) is the students of SMPN 9 Bandar Lampung. This dedication activity was held on September 25, 2019 and took place at SMPN 9 Bandar Lampung.
Blockchain-based Automotive EDI System, the Concept

The rise of thenBlockchain Technologynis opening new frontiers for existing automotivenElectronic Data Interchanges (EDI)ndata pipeline. It is destined to bring in the enhanced system stability by establishing a seamlessn(authenticated)nrelationship between an auto manufacturer, annoriginal equipment manufacturer (OEM), and an auto dealership, and data needs to flow in both upstream and downstream.
Rancang Bangun Sistem Informasi Inventori Gudang Mengguanakan Metode Incremental dan Double Exponential Smoothing (Studi Kasus : Rs. Wikarta Mandala)

The application of information system technology in a company or institution needs to be done, to improve the efficiency and effectiveness of a job. In this case study, Wikarta Mandala Hospital has not implemented information system technology for business process management that runs in the warehouse. Data collection on mutations of goods and recording of warehouse stock is still carried out using bookkeeping recaps. Data loss and delays in the compilation of warehouse reports, as well as errors when recording warehouse stock often occur. This will also affect the process of procurement of goods by the head of the warehouse and the warehouse officer must improve the report which causes redundant (double work). The warehouse inventory information system was created to minimize this. The development of information systems, use the incremental model to divide functional requirements into system modules. In this case, the application of additional methods is very helpful for resolving complex system requirements. In addition, the warehouse inventory information system also applies forecasting using the Double Exponential Smoothing method to predict the release of warehouse stock for the next period. With an alpha value (α) = 0.9 which results in a MAPE value of 0.29%. The resulting MAPE value <10% (less than) so that it can be categorized as good.
Open Research Award : Celebrating openness … and randomness?

Recently, the Open Science Community Groningen (OSCG) and the University of Groningen Library (UB) collaboratively set up a yearly returning Open Research Award, with the first awards being awarded October 2020. The goal of the Open Research Award is to (1) raise awareness and promote Open Research [1] practices, for example, pre-registration or Open Access publishing; (2) and incentivize incorporating Open Research in research by acknowledging and rewarding it. In this blog, we will play devil’s advocate so that we can cover pros and cons of introducing an Open Research Award and its uptake of a modified lottery.
Developing a Traffic Safety Diagnostics System for Unmanned Aerial Vehicles UsingDeep Learning Algorithms

This thesis presents an automated traffic safety diagnostics solution using deep learning techniques to process traffic videos by Unmanned Aerial Vehicle (UAV). Mask R-CNN is employed to better detect vehicles in UAV videos after video stabilization. The vehicle trajectories are generated when tracking the detected vehicle by Channel and Spatial Reliability Tracking (CSRT) algorithm. During the detection process, missing vehicles could be tracked by the process of identifying stopped vehicles and comparing Intersect of Union (IOU) between the tracking results and the detection results. In addition, rotated bounding rectangles based on the pixel-to- pixel manner masks that are generated by Mask R-CNN detection, which are also introduced to obtain precise vehicle size and location data. Moreover, surrogate safety measures (i.e. post- encroachment time (PET)) are calculated for each conflict event at the pixel level. Therefore, conflicts could be identified through the process of comparing the PET values and the threshold. To be more specific, conflict types that include rear-end, head-on, sideswipe, and angle could be determined. A case study is presented at a typical signalized intersection, the results indicate that the proposed framework could notably improve the accuracy of the output data. Furthermore, by calculating the PET values for each conflict event, an automated traffic safety diagnostic for the studied intersection could be conducted. According to the research, rear-end conflicts are the most prevalent conflict type at the studied location, while one angle collision conflict is identified at the study duration. It is expected that the proposed method could help diagnose the safety problems efficiently with UAVs and appropriate countermeasures could be proposed after then.
A Need Analysis in Learning English for Students of Midwifery Program Unipdu Jombang

Needs analysis is compulsory for the academy to set or develop the English curriculum to reach a set of competencies needed by the students. Needs analysis is used to find specific needs for the students in the academy. English for Specific Purposes (ESP) has offered different point of view in teaching-learning English. It modifies the conventional teaching-learning which concerns memorizing the pattern or grammar and vocabulary of the language to the teaching-learning based on the learners’ needs. This study is aimed at the main purpose: finding out the students’ needs of students of Midwifery program of UNIPDU Jombang in learning English. The qualitative procedure is employed in this study. The model used for identifying students’ needs for designing ESP syllabus follows Yalden’s model known as Language Program Development with a bit modification. The result of the need survey showed that reading has the highest degree of students’ demand followed by speaking, writing, and listening. Related to ESP, it indicated that the contents of the course were totally needed by the students in order to fill the need for their future professional career. Finally, the finding of the research becomes a reference to form the syllabus design or development of worksheet for ESP. Keywords: Need Analysis, Syllabus Development; Midwifery Students.
The Development of Junior High School English Materials from Contextual Teaching and Learning Perspective: Participatory Research and Development

The objectives of this study were: (1) to investigate the quality of the existing course book used in Islamic Junior High School, and (2) the development of Contextual Writing Book. This research was conducted at SMP Muhammadiyah Boarding School Prambanan. This research was categorized into Research and Development (R & D). It was conducted in two steps, including exploration and development. The exploration step consisted of literature review, field study, need analysis, and product planning while the development step comprised prototype development, field testing, and final product. Data reduction, data display, and conclusion proposed in Miles and Huberman’s model was used to analyze the data. After conducting needs analysis through interview, questionnaire, observation, and document analysis, the researcher concluded that there was a need of supplementary English material to fulfil the students’ needs toward the material at Junior High School. The existing course book did not provide sufficient writing assignment and focused on speaking assignment only, instead of four English skills that were required. In development stage, the researcher designed a prototype of Contextual Writing Book referring to Contextual Teaching and Learning (CTL) approach. Then, it was validated and reviewed by five experts. To get the feasible product, the prototype was implemented three times in the classroom. The final try out, class observation, questionnaire, and Focus Group Discussion (FGD) approved the draft’s feasibility and appropriateness as supplementary material to teach students of Junior High School.
The Effect of Managerial Ability on the Audit Opinion : A Comparison between Total Accrual and Discretionary Accrual

본 연구에서는 경영자의 능력과 발생액 특성이 감사인의 감사의견 형성에 미치는 영향을 검증하였다. 분석 결과, 경영자의 능력이 우수할수록 감사인은 적정의견을 표명하였다. 한편, 총 발생액은 비적정의견과 관련이 없었지만 기회주의적인 성향을 나타내는 재량적 발생액이 높을수록 감사인은 비적정의견을 표명하였다. 재량적 발생액이 감사의견에 미치는 부정적인 영향은 경영자의 능력이 우수하지 못한 표본에서는 관계가 유의하였다. 마지막으로 재량적 발생액이 차기영업성과에 미치는 부정적인 영향이 경영자의 능력이 우수한 표본에서는 감소하였다. 본 연구의 공헌점은 경영자의 능력이 감사의견의 결정요인임을 검증하였다는 데에 있다. 그리고 재량적 발생액이 높아 기업의 불확실성이 높다고 하더라도 경영자의 능력이 우수한 경우, 부정적인 효과가 감소하여 기업성과의 개선으로 이어질 수 있다는 점이다. 즉, 우수한 경영자를 보유할수록 재무제표의 신뢰성 뿐만 아니라 기업성과도 높아진다는 점을 실증적으로 확인하였다는 것이다. 이에 향후 경영자를 선임하는 이사회 등 기업 내의 기구에서는 우수한 경영자를 선임하거나 기존경영자의 능력을 극대화하는 방안을 시행할 것을 제안한다.This study verified the effect of managerial ability on the formation of auditor s audit opinion. In an empirical analysis, the better the management ability, the more auditors expressed unqualified opinions. In the results using the accruals, the total accruals were not related to the audit opinion, but the higher the discretionary accruals, the more the qualified opinion was expressed. However, the relationship between discretionary accruals and qualified opinion was significant in the sample with poor management ability. In addition, the negative effect of discretionary accruals on the operating performance decrease less in the group with superior management ability. The contribution of this study is that the manager s ability was verified to be the determining factor for the audit opinion. In addition, even if the uncertainty of the company is high due to the high discretionary accruals, the negative effect is reduced if the manager s ability is superior, which can lead to the improvement of the company s performance. Accordingly, we suggest that company select superior managers or implement measures to maximize the capabilities of existing managers.
A Switching Hybrid Approach to Improve Sparse Data Problem of Collaborative Filtering Recommender System

Collaborative filtering is a powerful technique that has been used in many recommender systems with considerable success. This technique uses the interested databases of users with items to predict what products they might like. Nevertheless, these interested databases collected very few under 10%, greatly affect the efficiency of the recommender system. Many research projects have given different solutions to solve this problem. Initially, they have made significant efficiency, improved somewhat sparse data problem, but they still have existed their shortcomings. In this paper, we research and propose a new method for improving sparse data problem, which offers higher efficiency of recommendation than the approaching traditional collaborative filtering and some other methods.
대칭성의 문학 교육 시론

This paper aims to introduce symmetry, one of the thoughts of anthropology, into the theory of literature education. Symmetry is the discovery of deep commonality among others in the classification, which is a way of restoring totality between the one and the other. Literature education has been based on culturalism, which presupposes asymmetry between literature and non-literature, and teachers and students. I would like to get the implications for the way of meeting the other and the one in literature education from Hangang’s novel, the Vegetarian(채식주의자).The narrator of the first novel in a series, ''I'', does not recognize the difference of the other. Thus, the difference of the other is only the subject of correction. The focused narrator of the second novel in a series, ‘He’(Brother in law), is fascinated by the difference of the other. That is why he wants to capture that fascinating difference in art. Art is a form of disinterestedness situated between the desire for pleasure and the will for good. For him, art is an absolute relativism that represents a catalog of differences. ''She'' (sister), the focused narrator of the third novel in a series, sees herself in the difference of the other. ''She'' recognizes the difference of the other as an opportunity for self-generation and sees the difference of the other in self-generation. This allows us to gain insight into the totality flowing between tne one and the other and to think in the symmetry of the one and the other.