Reviewerly/exHarmony huggingface dataset:
Recovery Bullying With Counseling And Sublimation Through Literary Work Writing

The bullying recovery effort is an activity to save bullying victims from mental pressure and to prevent them from being bullied again with guidance and counseling therapy and sublimation through literary work writing. These are intended to allow students who have once been bullied to eliminate the mental pressure and funnel the pressure through literary work writing. This research uses qualitative method with case study approach. The research sample is highschoolers who had once been bullied consisting of 9 students from 4 different high schools. The therapy treatments are given 5 times consisting of 3 meetings with counselors and 2 meetings with creative work writing lecturers to guide these students write literary works. The research results indicate that there is indeed a change in the self-concept of these students who had once been bullied.
Adaptive MCMC via Combining Local Samplers

Markov chain Monte Carlo (MCMC) methods are widely used in machine learning. One of the major problems with MCMC is the question of how to design chains that mix fast over the whole state space; in particular, how to select the parameters of an MCMC algorithm. Here we take a different approach and, similarly to parallel MCMC methods, instead of trying to find a single chain that samples from the whole distribution, we combine samples from several chains run in parallel, each exploring only parts of the state space (e.g., a few modes only). The chains are prioritized based on the kernel Stein discrepancy, which provides a good measure of performance locally. The samples from the independent chains are combined using a novel technique for estimating the probability of different regions of the sample space. Experimental results demonstrate that the proposed algorithm may provide significant speedups in different sampling problems. Most importantly, when combined with the state-of-the-art NUTS algorithm as the base MCMC sampler, our method remained competitive with NUTS on sampling from unimodal distributions, while significantly outperformed state-of-the-art competitors on synthetic multimodal problems as well as on a challenging sensor localization task.
Subspace-search variational quantum eigensolver for excited states

The variational quantum eigensolver (VQE), a variational algorithm to obtain an approximated ground state of a given Hamiltonian, is an appealing application of near-term quantum computers. The original work [A. Peruzzo et al.; \textit{Nat. Commun.}; \textbf{5}, 4213 (2014)] focused only on finding a ground state, whereas the excited states can also induce interesting phenomena in molecules and materials. Calculating excited states is, in general, a more difficult task than finding ground states for classical computers. To extend the framework to excited states, we here propose an algorithm, the subspace-search variational quantum eigensolver (SSVQE). This algorithm searches a low energy subspace by supplying orthogonal input states to the variational ansatz and relies on the unitarity of transformations to ensure the orthogonality of output states. The $k$-th excited state is obtained as the highest energy state in the low energy subspace. The proposed algorithm consists only of two parameter optimization procedures and does not employ any ancilla qubits. The disuse of the ancilla qubits is a great improvement from the existing proposals for excited states, which have utilized the swap test, making our proposal a truly near-term quantum algorithm. We further generalize the SSVQE to obtain all excited states up to the $k$-th by only a single optimization procedure. From numerical simulations, we verify the proposed algorithms. This work greatly extends the applicable domain of the VQE to excited states and their related properties like a transition amplitude without sacrificing any feasibility of it.
Pulsed reset protocol for fixed-frequency superconducting qubits

Improving coherence times of quantum bits is a fundamental challenge in the field of quantum computing. With long-lived qubits it becomes, however, inefficient to wait until the qubits have relaxed to their ground state after completion of an experiment. Moreover, for error-correction schemes it is import to rapidly re-initialize ancilla parity-check qubits. We present a simple pulsed qubit reset protocol based on a two-pulse sequence. A first pulse transfers the excited state population to a higher excited qubit state and a second pulse into a lossy environment provided by a low-Q transmission line resonator, which is also used for qubit readout. We show that the remaining excited state population can be suppressed to $2.2\pm0.8\%$ and utilize the pulsed reset protocol to carry out experiments at enhanced rates.
Scheduling of task in cloud using a different algorithm and its comparison

Distributed computing is viewed as a trendy expression in the present IT industry with the assistance of which clients can gain admittance to programming, equipment, applications, stage by the methods for only a web association. It depends on the idea of utility registering wherein the client needs to pay according to the utilization. The important necessity in the realm of distributed computing is the planning of errands under certain confinements. The undertaking planning issue can be viewed as the finding or looking through a perfect mapping/errand of the arrangement of subtasks of various assignments over the available course of action of benefits (processors PC machines) with the objective that we can achieve the ideal objectives for assignments. In this paper we are playing out a near examination of the various calculations for their sensibility, plausibility, adaptability concerning cloud situation, after that we endeavor to propose the hybrid methodology that can be grasped to improve the present stage further. With the objective that it can urge cloud suppliers to give a superior nature of administrations.
PREDIKSI CURAH HUJAN EKSTREM DI KOTA SEMARANG MENGGUNAKAN SPATIAL EXTREME VALUE DENGAN PENDEKATAN MAX STABLE PROCESS (MSP)

This research covers Spatial Extreme Value method application with Max-Stable Process (MSP) approach that will be used to analysis Extreme Rainfall in Semarang city. Extreme value sample are selected by Block Maxima methods, it will be estimated into Spatial Extreme Value form by including location factors. Then it transform to Frechet distribution because it has a heavy tail pattern. Max Stable Process (MSP) is an extension of the multivariate extreme value distribution into infinite dimension of the Extreme Value Theory. After the best model of extreme rainfall data in Semarang is obtained, then calculated the prediction of extreme rainfall with a certain time period. Predictions are calculated using a return level, predictions of extreme rainfall using the return period of the next two years, at the Semarang City Climatology Station predicted to be a maximum of 100.7539 mm. At the Tanjung Mas Rain Monitoring Station it is predicted that a maximum of 100.1052 mm, Ahmad Yani Rain Monitoring Station is predicted to be a maximum of 109.9379 mm. Maximum prediction of extreme rainfall can also be calculated for future t (time) periods.
VOCATIONAL TEACHING: USE OF INFORMATION AND COMMUNICATION TECHNOLOGIES BY STUDENTS IN THE CLASSROOM

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 408-412ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0140Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
ELECTROENCEPHALOGRAPHIC RESPONSE OF E-LEARNING TASKS ON A LEARNING MANAGEMENT SYSTEM: AN EMOTIONAL AND COGNITIVE APPROACH

ELECTROENCEPHALOGRAPHIC RESPONSE OF E-LEARNING TASKS ON A LEARNING MANAGEMENT SYSTEM: AN EMOTIONAL AND COGNITIVE APPROACH
APPLICATION OF A LEARNING MODEL BASED IN ENGINEERING PROJECTS TO THE FIELD OF INDUSTRIAL DRAWING

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 4490-4496ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1125Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
Learning Ontologies with Epistemic Reasoning: The EL Case

We investigate the problem of learning description logic ontologies from entailments via queries, using epistemic reasoning. We introduce a new learning model consisting of epistemic membership and example queries and show that polynomial learnability in this model coincides with polynomial learnability in Angluin's exact learning model with membership and equivalence queries. We then instantiate our learning framework to EL and show some complexity results for an epistemic extension of EL where epistemic operators can be applied over the axioms. Finally, we transfer known results for EL ontologies and its fragments to our learning model based on epistemic reasoning.
Multimodal dialogue processing for machine translation

research-article Multimodal dialogue processing for machine translation Share on Author: Alexander Waibel View Profile Authors Info & Claims The Handbook of Multimodal-Multisensor Interfaces: Language Processing, Software, Commercialization, and Emerging DirectionsJuly 2019 Pages 577–620https://doi.org/10.1145/3233795.3233811Published:01 July 2019 0citation89DownloadsMetricsTotal Citations0Total Downloads89Last 12 Months4Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
One more way of understanding the education in the era of AI(Artificial Intelligence)

교육 분야 인공지능(AI: Artificial Intelligence) 기술의 활용은 정체된 분야의 혁신을 위한 막연한 낙관에 기반한 도구적 관점, 학교 중심의 기술 활용, 분야별 교육에 대한 산발적 투자라는 특징이 있다. 본 논문에서는 학교 중심의 교육관보다 인간의 삶 전체에 편재하는 교육을 아우를 수 있는 통합적이고 포괄적인 교육관을 탐색하여 인공지능 시대 교육 분야 미래 시나리오를 만들어야 함을 논한다. 이를 위하여 교육을 인간 삶의 보편적인 양상으로 보는 <교육본위론>을 이론적 관점으로 택하여 인공지능 시대의 교육에 대하여 논의를 시도해 보았다. 인공지능 시대의 인간은 인적자원으로서의 가치는 불투명해 수 있으나, 그러한 인간의 교육적 삶은 오히려 경제발전을 위한 수단적 관점으로부터 자유롭게 될 가능성이 있다. 또한 ‘상구’와 ‘하화’ 중 ‘하화’는 인공지능 서비스로 대체될 가능성이 다분하고, 인공지능에게 배운 새로운 세대가 등장할 것으로 예측된다. 마지막으로 인공지능 시대에는 교육 분야 AI의 설계와 활용을 위하여 ‘교육적 가치’가 재조명될 수 있다.The use of the technology of AI(Artificial Intelligence) in the education sector shows the characteristics of being instrumental, school-centered, and sporadic in terms of innovation and investment. The article intends to argue that a future scenario of education in the era of AI needs to be made on the theory that encompasses the educations of various fields. Humans living in the era of AI might lose their value as economic resources having more possibility to be freed from being the means of economic development. Still unknown is whether humans would be able to bring about favorable changes to education in the conditions to be given. It is also predicted that descending education might be replaced by AI rather than ascending one that touches unique experience of individual human being. The appearance of the future generation learning from AI tutor calls for research of new phenomenon in the education between AI and humans. Lastly, the design of the AI in the educational sector by the engineers questioning the domain knowledge could shed some light on the educational value as well.
Visually split identities in face recognition

Face recognition is thought to rely on neural mechanisms in the right hemisphere and a corresponding left visual field (LVF) processing advantage. Here we report results from several experiments which lead us to conclude that the LVF advantage for face recognition reflects the splitting of identities between the retinal hemifields for centrally viewed faces. In one experiment we verified the existence of the LVF half-face bias using a two-alternative forced choice (2AFC) task. Observers viewed unfamiliar faces and subsequently indicated which of two symmetric faces, created by mirroring each half of the previously viewed face, best matched the initially viewed face. Consistent with previous reports, observers were more likely to match the initial face to a symmetric comprised of the mirrored LVF half. In another experiment, using a similar method, we found that the LVF half-face bias occurs similarly for chimeric faces comprised of two easily discriminable half-faces (i.e., half-faces from different individuals, merged at the vertical meridian). In another experiment we used an adaptive (staircase) method to measure the LVF half-face bias for chimeric faces comprised of famous face pairs morphed to different degrees in each hemifield. In a final experiment, we found that the LVF bias does not occur for half-faces viewed in isolation (i.e., halves of occluded faces viewed in either hemifield). Taken together, our results show that the LVF half-face bias only occurs when a centrally viewed face is visually split between the two hemifields. This bias implies that each half of a face is perceived to have a different identity, with the identity of the half-face in the LVF dominating the other half. We refer to this phenomenon as the visual splitting of identities during face recognition.
DFRWS IoT Forensic Challenge Report 2

In this chapter, we report on the findings of our group’s analysis of the Digital Forensic Research Workshop (DFRWS) IoT Forensic Challenge (2018–2019).
Combination of Blowfish Algorithm First of File Algorithm and End of File Algorithm on Image Security

Abstract In this age, there are many types of information. An image is a form of information that can be sent from anyone to anyone in various ways. But in the shipping process, there is often a hijacking or theft by an unwanted party. So that information must be secured by cryptography to avoid this. To add a sense of security between the sender and recipient, cryptography will be combined with steganography. In this study, the Blowfish Algorithm was combined with First Of File and End Of File steganography methods. Information that has been encrypted will be inserted into other media. Likewise for the recipient, can extract information then decrypt information. Based on experiments conducted on the Blowfish algorithm, the time of encryption and decryption needed when the resolution of the image gets larger is linearly proportional to the value. MSE gets smaller, and the PSNR value gets higher, it shows better image quality. Cover image will increase in size after the embedding process so that it becomes a stego image.
SAVEIT: A SMART ARCHIVE FOR IT SENIOR PROJECTS

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 294-301ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.0111Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
A Study on Revision of Development Standard for Korean Apprenticeship Program

이 연구의 목적은 일학습병행 훈련과정 개발기준의 개선방안을 도출하는 데 있었다. 세부적인 연구 내용은 첫째, 일학습병행 개발기준 관련 인식을 조사하고, 둘째, 개발기준 요소별 적용과 운영상의 애로사항을 조사하며, 셋째, 개발기준의 개선방안을 제시하는 데 있었다. 개편 방안 마련을 위한 연구 방법은 문헌연구, FGI, 설문조사, 전문가 검토 등이 활용되었다. FGI는 현장에서의 활용실태를 분석하기 위해 일학습병행 훈련과정을 운영하는 5개 기관 담당자 총 10명을 대상으로 실시하였다. 설문조사는 운영 기관을 대상으로 2017년 11월 30일부터 12월 11일까지 온라인으로 조사를 실시하였다. 세부적으로 일학습병행 운영기관은 총 164명이 응답하였다. 마지막으로 전문가검토는 관련 연구자 9명을 대상으로 개선방안에 대한 검토를 실시하였다. 이 연구 결과에 따른 결론 및 제언으로는 첫째, 개발기준의 활용성 제고가 필요하며, 둘째, 일학습병행 훈련과정의 유연성 제고가 필요하다. 셋째, 입직단계와 재학단계의 일학습병행 개발기준의 차별화가 필요하며, 넷째, 일학습병행과 과정평가형 교육·훈련과정 개발기준의 관계성 재설정이 필요하다. 마지막으로 일학습병행 관련 근거법령 마련이 필요하다.The purpose of this study was to revise of Development Standard for Korean apprenticeship program. The details of the study were as follows: First, the perception related to the development standard of Korean apprenticeship program was investigated. Second, the application criteria and the operational difficulties were investigated. Third, the development standard was suggested. Research methods for preparing the revised Standard were literature research, FGI, questionnaire survey, and expert review. FGI conducted a total of 10 people in charge of 5 agencies who run the program to analyze the actual use situation in the field. The survey was conducted online from November 30 to December 11, 2017 for the provider. A total of 164 respondents in the administrative agency responded in detail. Finally, the expert review was conducted to examine the improvement plan of nine researchers. Conclusions and suggestions based on the results of this study are as follows. First, It is necessary to improve the utilization of development standard. Second, it is necessary to increase the flexibility of the training program. Third, it is necessary to differentiate the developmental standard of work-based learning from the entry stage and the enrollment stage. Fourth, it is necessary to re-establish the link between Korea Apprenticeship Program and Qualification. Finally, related laws and regulations need to be prepared.
The Exploring the Applicability of Activity-based Lessons in Social Studied based on the Embodied Cognition Theory

본 연구는 선행연구에서 제안한 체화인지론 기반 사회과 활동을 실제 현장에 적용해봄으로써 이의 활용 가능성을 탐색하고자 하였다. 실제 현장에서 예상치 못한 상황을 감각적으로 대처해가며 보다 나은 활동 방안을 탐색하는 과정을 나타내고자 하였다. 이를 위해 총 두 번에 걸쳐 체화인지론에 기반한 사회과 활동을 적용해보고 그 결과를 분석하고자 하였다. 또한 동료 연구자와 함께 동일한 활동을 적용하고 성찰해봄으로써, 보다 나은 활동 방안을 찾고자 하였다. 궁극적으로 이러한 실천을 통해 이론적이고 형식적인 지식이 학생들의 삶과 만나는 상황을 이루고자 하였다. 그리고 이러한 수업 실천 속에서 체화된 경험은 이야기를 통해 현상 그대로를 나타내고자 하였다. 그 결과 무엇보다 학생들은 자신의 몸으로서 느끼는 수업을 매우 흥미로워했다. 또한 교사의 발문을 통해 수업 활동과 사회과 개념을 관련짓기도 하였다. 하지만 두 번의 수업에도 불구하고 여전히 학생들이 수업 활동과 실제의 삶을 연결 짓지 못하는 경우가 발견되었다. 본 연구의 실천 과정에서 나타난 미흡한 점들에 대한 보완이 필요하다. 이처럼 본 연구는 선행연구를 통해 구안한 수업 방법이 현장에서 적용 가능한지를 살펴보는 실험적 성격을 띠고 있다. 그럼에도 불구하고 본 연구는 체화인지론에 기반한 사회과 활동을 실제 현장에서 적용해보고 그 가능성을 탐색했다는 점에서 의의가 있다고 할 수 있다. 추후에도 실천적인 교육적 숙고와 체화된 행위, 그리고 성찰을 통해 보다 완성도 높은 사회과 활동 중심 수업을 모색하고자 한다.The purpose of this study is to find out the possibility of applying the proposed activity-based lessons in social studies based on the embodied cognition theory to the actual field. The purpose of the project was to show the process of sensitively coping with unexpected situations and exploring better ways of activity in the field application process. To this end, we applied social studies and activities based on the embodied cognition theory on two occasions and analyzed the results. We also tried to find better ways to do it by applying and reflecting on the same activities with fellow researchers. And the experience of this classroom practice was to show the status quo through the story. As a result, most of all, the classes students feel as their bodies are very interesting. It also related activities and social and social concepts in class through teacher s questioning. However, despite the two-time classroom practice, students were still found to be unable to connect their activities with their real life. As such, this study has an experimental nature to examine whether the method of teaching designed through prior study is field applicable. Nevertheless, this study is meaningful in that social studies and activities based on the embodied cognition theory were applied in actual field and explored their potential. In the future, it is necessary to supplement the activities through practical educational deliberation, embodiment, and reflection.
TEACHING AND LEARNING ALGORITHMS WITH APPS

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 8750-8757ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.2172Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain
PEMANFAATAN BUKU DIGITAL DALAM MENINGKATKAN MINAT BACA

The purpose of this paper is to provide an explanation for using digital books to increase students’ reading interest. As the background of this writing because of the low interest in reading students in textbooks and other books that are still in the form of ordinar y books. Digital books are one of altenative for students to increase reading interest. Because it can not be denied, now students hold more handphone than their books. The nature of digital books is practical and easy to carry everywhere making it easy for students to read whenever and wherever they want. So that it is expected that the use of digital books in increasing students interest in reading will be more efektif and efficient.
Lower bounds for oblivious near-neighbor search

We prove an Ω(d lg n/(lg lg n)2) lower bound on the dynamic cell-probe complexity of statistically oblivious approximate-near-neighbor search (ANN) over the d-dimensional Hamming cube. For the natural setting of d = Θ(lg n), our result implies an [MATH HERE] lower bound, which is a quadratic improvement over the highest (non-oblivious) cell-probe lower bound for ANN. This is the first super-logarithmic unconditional lower bound for ANN against general (non black-box) data structures. We also show that any oblivious static data structure for decomposable search problems (like ANN ) can be obliviously dynamized with O(lg n) overhead in update and query time, strengthening a classic result of Bentley and Saxe (Algorithmica, 1980).
Combination of myszkowski transposition algorithm and modified least significant bit (mlsb) green channel on png image security

Abstract On sending images via the internet, such as email, social media, and other are very vulnerable to technological crimes such as tapping, or modification. Without security guarantees, others can easily get messages sent over the internet. In this research, combined cryptographic algorithms and steganography. Cryptographic methods can ensure the security of data information by convering it into random codes, however making the data can’t be read and understood by others. One of the cryptographic methods used by the author is the Myszkowski Transposition Algorithm. But the use of such encryption method does not always guarantee data security because the data is messy with other words can be regarded as unusual and suspicious. This algorithm also has the disadvantage that as complicated as any we do transposition or permutation on the characters in plaintext, we just do a randomization of the order of plaintext but we don’t change it. So it must be combined with steganography technique that is using Modified Least Significant Bit (MLSB), so the message is not visible inserted visible. Therefore, if the information is on the wrong side will cause losses. The result of this study indicate that the Myszkowski Transposition algorithm and Green Channel Modified Least Significant Bit (MLSB) on PNG image coverage, can restore the image as before. So it can be concluded that the Myszkowski Transposition algorithm and Modified Least Significant Bit (MLSB) is capable of securing the message. Therefore, it can be concluded that the bigger the image size will be the longer the process.
A comparison of multiple speech tempo measures: Inter-correlations and discriminating power

Studies that quantify speech tempo on acoustic grounds typically use one of various rate measures. Explicit comparisons of the distributions generated by these measures are rare, although they help assess the robustness of generalisations across studies; moreover, for forensic purposes it is valuable to compare measures in terms of their discriminating power. We compare five common rate measures - canonical and surface syllable and phone rates, and CV segment rate - calculated over fluent stretches of spontaneous speech produced by 30 English speakers. We report deletion rates and correlations between the five measures and assess discriminating powers using likelihood ratios. Results suggest that in a sizeable English corpus with normal deletion rates, these five rates are closely inter-correlated and have similar discriminating powers; therefore, for common analytical purposes the choice between these measures is unlikely to substantially affect outcomes.