Reviewerly/exHarmony huggingface dataset:
Time and Cost Based Cloud Resource Optimization System

Cloud computing is an emerging technology through which resources can be shared over the internet with different users either free or on a rent basis. Resource scheduling in cloud computing is a challenging area for researchers as is maximum utilization can opt through efficient resource scheduling algorithm. Other than this, virtual machine provisioning, packaging, and availability guarantee decrease the performance. Resource management in cloud could be a time and cost effective activity if it is managed property. These resources are accessible and computable which is totally dependent upon the management techniques applied in cloud.In a cloud setting, heterogeneous, vulnerability, and scattering of resources creates many issues of distribution among the workloads which need to be compute. Specialists still face inconveniences to pick the prudent, material and expend less time to execution of resource portion to the cloud. This investigation delineates an expansive composed writing examination of asset administration inside the space of cloud typically and cloud asset administration based on SLA with multi-objective functions like cost and time. In this paper, an autonomic cloud resource management technique is proposed to resolve identified issues by adopting the self-characteristics mechanism and improved Antlion optimization algorithm and tested in cloudsim toolkit and Aws Ec2 environment. The implementation results of proposed work are the evidence that it is better performing as compared with the existing frameworks, however, the performance evaluation method depends upon the different cloud environment and it may vary.
Utilizing natural physical reservoir realized on noisy superconducting quantum processors for temporal information processing

Quantum reservoir computing is a type of machine-learning scheme that exploits the nonlinearity of natural quantum dynamics for temporal information processing. In a recent study of quantum reservoir computing, an artificially-engineered reservoir is introduced to model the system, which is implemented on noisy gate-base quantum computer to test its performance. However, the proposed system has difficulty in physical implementation from a practical perspective. In this study, we propose a new quantum reservoir computing scheme based on natural physical reservoir on a superconducting quantum device; this system makes full use of the realistic (un-modeled) noise that can couple neighboring qubits. Here, we utilize the IBM superconducting quantum processors to demonstrate the performance for a sequential data processing task; an emulation of the Non-Linear Auto-Regressive Moving Average dynamics (NARMA task). As a result, we observed our proposed model outperformed a simple classical linear regression. This result indicates that a natural physical quantum reservoir realized on a noisy quantum computer is a promising candidate for practical temporal information processing.
ANALISIS ABRASI DAN AKRESI PERAIRAN PANTAI BARUS TAPANULI TENGAH DENGAN MODEL CEDAS 2.0

Barus is an area where most of the people are fishermen, this is because Barus is an area located on the coast. The existing condition shows the shoreline on the east side of the seawall building, the condition of the shoreline is experiencing abrasion resulting in the retreat of the coastline and almost reaches the fisherman's flat building area, this is due to the port building in the form of a massive trester jutting into the sea resulting in sediment supply to the retained flat towers and the coastline has declined.To maintain the stability of the coastline, it is necessary to make an effort to control the damage to water in this area. The shoreline model is a numerical forecast model based on the sediment continuity equation and the sediment transport rate equation along the coast. Sediment transport rates along the coast are a function of the variation in height and direction of waves along the coast formed by the effects of refraction and diffraction.&#x0D; The results of the shoreline change model with the protection of the fisherman's flat area from waves by building sea walls is the east side of the fisherman's towers abrasion ± 7 m and sedimentation ± 5 m, the front area of the fisherman's towers does not occur sedimentation or abrasion, the western side of the fisherman's towers does not sedimentation and abrasion occurred, the east side of Barus Jetty did not occur abrasion or sedimentation, the area of Barus Jetty occurred ± 20 m sedimentation, and the west side of Barus Jetty occurred sedimentation ± 9 m. These results indicate that for handling conditions by making a seawall in front of the flat area shows that the location is safe from scouring of waves
Witnessing pairing correlations in identical-particle systems

Quantum correlations and entanglement in identical-particle systems have been a puzzling question which has attracted vast interest and widely different approaches. Witness formalism developed first for entanglement measurement can be adopted to other kind of correlations. An approach is introduced by Kraus \emph{et al.}, [Phys. Rev. A \textbf{79}, 012306 (2009)] based on pairing correlations in fermionic systems and the use of witness formalism to detect pairing. In this contribution, a two-particle-annihilation operator is used for constructing a two-particle observable as a candidate witness for pairing correlations of both fermionic and bosonic systems. The corresponding separability bounds are also obtained. Two different types of separability definition are introduced for bosonic systems and the separability bounds associated with each type are discussed.
Teks Poster di Lanskap Linguistik Sekolah

Abstract: Posters are a medium that is often found in public places, including in the school environment. Posters displayed at school have a specific social function. Because it is displayed in the school environment, the poster text is categorized in the linguistic landscape. The purpose of this study is to observe the posters on display at SMPN 44 Jakarta based on genre theory which focuses on social functions, structures, and linguistic characteristics. The research method used Philip Myring content analysis with the development of inductive categories. The findings of the study stated that the social function of poster text was dominated implementation of healthy life. Many posters come with no complete text structure. Furthermore, text analysis was carried out based on the number of clauses, type of predicate, syntactic classification, and transitivity process. Analysis of linguistic characteristics found that not all poster texts presented slogans, most used imperative sentences. The existence of the poster text can also have implications for student learning in the competence of poster text in class VIII of junior school.
Photometric Stereo Based on Multiple Kernel Learning

Photometric stereo is a widely used surface reconstruction method which can estimate surface normals of an object from its images captured under different lighting conditions by a fixed camera. To deal with non-Lambertian reflections efficiently, kernel regression based photometric stereo has been proposed and achieved promising results. However, in practice, different data-sets often require different kernels, and the existing methods need selecting and tuning the predefined kernel manually. This is not user-friendly since it’s hard to find the best kernel for different data-sets. Furthermore, an improper kernel is very likely to degrade the performance. In this work, we adopt multiple kernel learning to handle this problem. The proposed method learns an optimal consensus kernel from multiple predefined kernels by automatically assigning the most suitable weights for different base kernels. The proposed method is tested on various data-sets, and the experiment results show that our multiple kernel based model outperforms the single kernel based method.
Assessing naive Bayes and support vector machine performance in sentiment classification on a big data platform

&lt;p&gt;&lt;span lang="EN-US"&gt;Nowadays, mining user reviews becomes a very useful mean for decision making in several areas. Traditionally, machine learning algorithms have been widely and effectively used to analyze user’s opinions on a limited volume of data. In the case of massive data, powerful hardware resources (CPU, memory, and storage) are essential for dealing with the whole data processing phases including, collection, pre-processing, and learning in an optimal time. Several big data technologies have emerged to efficiently process massive data, like Apache Spark, which is a distributed framework for data processing that provides libraries implementing several machine learning algorithms. In order to evaluate the performance of Apache Spark's machine learning library (MLlib) on a large volume of data, classification accuracies and processing time of two machine learning algorithms implemented in spark: naive &lt;/span&gt;&lt;span&gt;B&lt;/span&gt;&lt;span lang="EN-US"&gt;ayes and support vector machine (SVM) are compared to the performance achieved by the standard implementation of these two algorithms on large different size datasets built from movie reviews. The results of our experiment show that the performance of classifiers running under spark is higher than traditional ones and reaches F-measure greater than 84%. At the same time, we found that under spark framework, the learning time is relatively low.&lt;/span&gt;&lt;/p&gt;
Closed-Form Target Tracking Performance Measure for Multi-Radar Placement

This paper suggests the closed-form target tracking performance measure which is necessary for formulating a multi-radar placement problem. It is well-known that there is no analytic solution to the DRE(differential Riccati equation) of a nonlinear target tracking filter, which makes the problem intractable. As a fundamental resolution to this technical issue, the line-of-sight frame equivalents of the given nonlinear filter are exploited. For such case, unlike the existing numerical method, the analytic solutions to the corresponding DREs can be readily derived. This idea was based on the fact that the Fisher information is preserved regardless of the coordinates system in which a tracking filter is designed. The proposed approach allows us to clearly describe the tracking performance measure as a function of the radars’ positions as well as their specification. Simulations confirm that our scheme is beneficial for reducing the inherent complexity of a multi-radar placement problem.
AN ANALYSIS ON ELEMENTS OF WRITING FOUND ON THIRD SEMESTER STUDENTS WRITING AT ENGLISH DEPARTMENT OF CITRA BANGSA UNIVERSITY

Language is a communication tool in the form of a sound symbol system that is produced by human speech organs, in order to be able to interact and communicate with other people around us. In the world of education, we learn many languages. One of which is English language. English is an international language. In English, there are four skills that should be mastered, there are listening speaking, reading and writing. Writing skill is one of the difficulty skill, because writing skill is needed a creative thinking and skill in mastering that ability. The aim of this research is to know the elements of writing and to find out the dominant element of writing mostly found on third semester students writing at English Department of Citra Bangsa University. In this research the researcher analyzed the elements of writing found on students writing. The researcher used descriptive qualitative method to describe the data. The subjects in this research are the English three lecturer and the third semester students of English department at Citra Bangsa University. The data that researcher obtained through documentation and interview explain in description. The result of this research the central idea element get first rank, the element of organization get second rank, the element of supporting material get third rank, the element of expression, word choice and point of view get fourth rank and the element of spelling, grammar and punctuation get fifth rank.
The origin of cryptocommunity

Chapter 16 concludes. Industry development continues, since its origins, to be shaped by socio-political considerations. The application of financial regulation to cryptoassets has in some ways been beneficial insofar as financial cryptoassets designed as financial products constitute pioneer species that provide the context for resolution of problems in the technology. However, very little certainty or facilitation has been provided to the non-financial uses and institutional innovations that cryptographic consensus technology enables. It is suggested that too little policy attention has been given to the possibility that opportunities presented by the New Prospect are being unnecessarily delayed, obstructed or pre-empted.
Analisis Materi Pembelajaran IPS SD Kelas VI Tema 1-3 dalam Buku Penerbit Kemendikbud di Sekolah Dasar

The focus of research is how to analyze social studies learning material in primary school class VI themes 1-3 in the Kemendikbud publishers book. The purpose of this research is to find out and analyze how the social studies learning material for primary school class VI themes 1-3 in the book publish by Ministry of Education and Culture. This type of research is qualitative research. The research was conducted at SDN Tambahsari and SDN Payang 3 Pati for the 2020/ 2021 school year. Sources of data in this study were thematic textbooks class VI themes 1-3 published by the Ministry of Education and Culture, class VI teachers, and lecturers. The result of this study indicate that the scope of Social Sciences (IPS) class VI themes 1-3 in a book published by Ministry of Education and Culture contains geography, history, and economic learning material. In each theme there are only ono and two scopes of Social Sciences (IPS). Geographical scope is in theme 1, historical scope is in theme 2 and theme 3, economic scope is in theme 1 and theme 3.
An Agent-Based Game Engine Layer for Interactive Fiction

Interactive fiction (IF) is a type of computer game in which players use text commands inside a literary narrative in order to influence the environment, the story and/or characters. We have developed an agent based game engine layer that allows us to introduce intelligent agents into such games including but not limited to chatbots, autonomous agents, expert systems as well as implement ontology based content generation. We provide demo implementations of games which include the implemented methods and show the benefits of using them.
Spectral Hong-Ou-Mandel Interference Between Independently Generated Single Photons for Scalable Frequency-Domain Quantum Processing

The frequency degree-of-freedom, being compatible with well-developed omnipresent optical telecommunication infrastructure, allows for stable, controllable and scalable encoding of quantum information [1] . The HOM effect between independent photons, as a central building block to, e.g., quantum key distribution (QKD), quantum teleportation and entanglement swapping, has been mainly employed within the spatial domain [2] . A key element yet missing to enable scalable and thus real-world frequency-based implementation of quantum computation and non-classical communication, is the demonstration of Hong-Ou-Mandel (HOM) interference between independently created photons of different frequencies. To date, spectral bosonic HOM interference between single photons, produced out of the same continuous-wave (cw)-excited spontaneous parametric down conversion (SPDC) process has been demonstrated [3] , which however does not allow scalability due to the spectral impurity inherent to the proposed approach.
The Modeling of Interval-Valued Time Series Using Possibility Measure-Based Encoding-Decoding Mechanism

Interval-valued time series (ITS) is a collection of interval-valued data whose entires are ordered by time. The modeling of ITS is an ongoing issue pursued by many researchers. There are diverse ITS models showing better performance. This paper proposes a new ITS model using possibility measure-based encoding-decoding mechanism involved in fuzzy theory. The proposed model consists of four modules, say, linguistic variable generation module, encoding module, inference module and decoding module. The linguistic variable generation module can provide a series of linguistic variables expressed in fuzzy sets used to described dynamic characteristics of ITS. The encoding module encodes ITS into some embedding vectors with semantics with the aid of possibility measure and linguistic variables formed by linguistic variable generation module. The inference module uses artificial neural network to capture relationship implied in those embedding vectors with semantic. The decoding module decodes for the outputs of the inference module to produce the output of linguistic and interval formats by using the possibility measure-based encoding-decoding mechanism. In comparison with existing ITS models, the proposed model can not only produce the output of linguistic format, but also exhibit better numeric performance.
The Correlation Between Emotional Intelligence and The Students’ English Academic Achievement

This research aimed at describing the correlation between emotional intelligence and Students’ English academic achievement . This research used correlational design. The population was the second year students of SMA Negeri 1 Parepare and the method used for taking sample was simple random sampling. The data were obtained through questionnaires and document study . The data on students’ emotional intelligence and English academic achievement were analyzed by using inferential and descriptive statistics, Pearson Product Moment correlation analysis through SPSS 2 7 for windows to find out whether or not there was correlation between them. The result of the research showed that there was a positive correlation between students’ emotional intelligence and English academic achievement (r = 0.892) It was concluded that the correlation between emotional intelligence English academic achievement of the second year students of SMA Negeri 1 Parepare were very high. The positive coefficient indicated the positive correlation, that if the emotional intelligence increases, English academic achievement will also increase.
SVA Library Research Guides: Online Resources and Services: Images

The following guide outlines the collections, services, and support available remotely to students, faculty, and staff.
INVESTIGATING EFL LEARNERS’ “INDONGLISH” USAGE BY ENGLISH DEPARTMENT STUDENTS: A QUALITATIVE STUDY

The aim of this study was to analyze the specific vocabulary in the Indonglish phenomenon that the Tidar University students use in the educational environment at Tidar University, the meaning that exists in Indonglish at Tidar University, and the impact Indonglish usage in the use of Indonesian is correct and right in the environment education in universities in Tidar University in a signification effort Indonesian. Indonglish is a term often used for the use of the English language which is nuanced by Indonesian culture. Indonglish study focuses on environmental education, particularly in higher education that is not only limited to the academic setting but also non-academic. The researchers used qualitative research, the data of this research were a wide range of speeches acquired in an educational environment, especially in Java, in which there are forms of language linguistically mixed Indonesian and English. Locational data source of this research were the perpetrators of students in environmental education at Tidar University. The result is the 5th semester students produced 35 Indonglish vocabulary and the 7th semester students produced 31 Indonglish vocabulary. The basic assumption for determining the locational data sources was the consideration that the students, faculties, and staffs had a varied background of social, economic, cultural so that it was expected to describe the condition of society. The data analysis was conducted by applying the distributional method that was commonly done in linguistics. The method of analysis was done after the data were collected and properly classified. Furthermore, the interpretation of the data was done. Then, the interpreted data were presented informally.
Quantum non-Gaussianity of multi-phonon states of a single atom

Quantum non-Gaussian (QNG) mechanical states from inherently nonlinear quantum processes are already required in quantum sensing, become essential in quantum thermodynamics, and also open directions in quantum computing with continuous variables. The discrete building blocks of such states are the energy eigenstates - Fock states. Despite the progress in their experimental preparation, the remaining energy uncertainty can still invisibly cause loss of the critical quantum non-Gaussian aspects of the phonon distribution relevant for the applications.
Development of a Competency Management Model for Key Organizational Positions Influencing HSE System Performance in a Power Plant Construction Company

Development of a Competency Management Model for Key Organizational Positions Influencing HSE System Performance in a Power Plant Construction Company
Autonomous Navigation Using Robust SLAM and Genetic Algorithm

Autonomous navigation in unknown environment is a big challenge. It needs both good map and effective path planning algorithm for the unknown environment. In this paper, we use sliding mode method to improve the SLAM (simultaneous localization and mapping) with bounded uncertainties. Then we propose a novel path planning method based on the novel SLAM, which uses the genetic algorithm. This novel method takes the advantages of the robustness of the sliding mode method and the good convergence ability of the genetic algorithm. Comparisons with others popular methods are made to show the advantages of the proposed method.
Exclusivity in data: How to best combine the patchwork of applicable European legal instruments

Data markets depend on a legal framework enabling the exchange of data on a contractual basis. As a part of this framework ownership questions arise, notwithstanding the fact that there is no such thing as an explicit data ownership within existing the law. This chapter focuses on the practical perspective of data producers, collectors or analysts seeking to enter into a contract concerning data. Therefore, European legal instruments amounting to some degree of exclusivity in data are analysed with respect to their requirements and effects. Data privacy protection, trade secret protection, the sui generis right for the maker of a database, patent protection and physical ownership of data carriers are taken into account.
Talking Face Video Generation with Editable Expression

In rencent years, the convolutional neural network have been proved to be a great success in generating talking face. Existing methods have combined a single face image with speech to generate talking face video. The challenge with these methods is that only the lips change in the video, lacking other facial expressions such as blinking and eyebrow movements. In order to solve this problem, this paper propose a embedding system to tackle the task of talking face video generation by using a still image of a person and an audio clip containing speech. We can modify some of the natural expressions through high-level structure, i.e., the facial landmarks. Compared with the direct audio-to-image method, our approach avoids spurious correlations between audio-visual signals that were unrelated to the speech content. In addition, to generate the face of the network, a face sequence generation method based on single sample learning is designed.