Reviewerly/exHarmony huggingface dataset:
Enhanced Video Streaming Based Computing Encoder for Digital Visual Processing

The rise of video streaming for digital visual processing has been a boon for the industry of visual processing. Video streaming technology has made it easier for companies to capture, analyze, and interpret visual data faster than ever before. It has allowed for the storage and transmission of large amounts of visual data at high speeds, providing businesses with the ability to process and interpret this data in real-time. Video streaming technology can be used in a wide variety of applications, including facial recognition, 3D mapping, and object recognition. By streaming video data, companies can quickly and accurately identify individuals, recognize objects, and track movement. This technology can also be used in security applications, such as surveillance and monitoring, as well as in medical imaging, such as MRI and CT scans. Video streaming technology has also allowed companies to create more efficient visual processing systems. The streaming video data can be used to automate the process of image recognition and object classification. This has allowed companies to reduce the amount of time and effort needed to interpret visual data. Additionally, streaming video data can be used to create virtual reality experiences, providing users with an immersive experience when viewing digital images.
Energy and Time-efficient Trajectory Planning and Geometric Control for Quadrotor Waypoints Flight

In recent years, there has been an increasing interest in studying motion planning algorithms for micro aerial vehicles (MAVs), especially quadrotors. Motion planning is an essential module to plan feasible motions that connect the initial and desired states while satisfying the required constraints. In this paper, we propose a new approach to trajectory planning for quadrotors using optimization techniques. Initially, to take full advantage of the actuators, we establish dynamic constraints by considering velocity and acceleration constraints in the formulation. Secondly, we create acceleration objectives based on heuristics that allow us to reduce flight time while still utilizing the highest possible acceleration. Next, we optimize the scaling of time allocation to arrive at a trajectory that is both efficient and feasible. Finally, a geometric tracking control is implemented to follow the planned trajectory. Our results demonstrate that this trajectory planning method exceeds the traditional minimum-snap trajectory.
VM Migration and Resource Management using Meta Heuristic Technique in Cloud Computing Services

An increasingly important component in the development of Cloud Computing, an Internet-based technology, is the optimization of its resources. To make the most of available resources, cloud data centre models need a resource management strategy. The Bin-Packing issue is a combinatorial optimization that may be used to efficiently assign virtual machines to physical machines. In this study, we present a two-stage approach for managing and allocating resources effectively. In the first step, we propose the Load Balanced Multi-Dimensional Bin-Packing (LBMBP) heuristics for allocating virtual machines (VMs) to physical machines (PMs or hosts) by taking into account all of the available resources at their disposal. As indicated in the second stage, a technique to identify overload and load balance hosts based on anomalies is necessary for VM migration. CloudSim Plus Simulator simulation results were used to demonstrate the planned work, and it was found that the number of operational PMs was reduced. Reduced energy use and emigration rates due to more efficient use of available resources.
Forecasting global solar radiation using a robust regularization approach with mixture kernels

Abstract Accurately forecasting global solar radiation plays a key role in photovoltaic evaluations. To quantify and control the uncertainties in global solar radiation forecasting, this study developed a robust and accurate forecasting model. This was constructed in the reproducing kernel Hilbert space with a novel regularization. Global solar radiation datasets were collected from the autonomous region of Tibet in China. Experimental results demonstrate that the proposed model can quantify uncertainties and obtain more accurate forecasting compared with machine learning models.
DISCOURSE OF SOCIAL NETWORKING SITES AS PART OF ELECTRONIC DISCOURSE

The article is devoted to the study of electronic discourse, namely, its varieties in the context of studying communication on the Internet and social networking sites. The aim of the research is to develop a typology of discourses mediated by electronic devices. For this purpose, the specified types of discourses were distinguished and interpreted on the basis of the works of Ukrainian and Spanish-speaking scientists; the differences between virtual, Internet, online, computer, computer-mediated, electronic, social network and network discourses are clarified; discourse of social networking sites is interpreted as a speech representation of a communicative act that was implemented in social networking sites; a typology relevant for the Ukrainian and Spanish terminological systems has been developed. We believe that the term “electronic discourse” is a hyperonym that unites all the above types of discourse. In view of this, the following hierarchy (from hyperonym to hyponym) seems correct: electronic discourse, computer discourse (synonym: computer-mediated discourse), virtual discourse, Internet discourse, (synonym: online discourse), discourse of social networking sites (synonyms: discourse of social networks, social network discourse). The hierarchy of Spanish-language terminological compounds is similar. Unlike Ukrainian scientists, Spanish-speaking researchers mostly do not distinguish the discourse of social networking sites as a separate type of discourse. However, we suggest adding to the Spanish term system the concept of “discurso de las redes sociales” (discourse of social networking sites), since communication in social networks has become an integral part of the life of a modern person, and social networks themselves are a unique platform for communication on the Internet and the subject of research by many scientists. We consider further thorough research of the communicative space of social networking sites to be promising.
An architecture for verified medical data distribution employing blockchain technology

This paper describes an architecture for distribution of verified medical data employing blockchain technology. Two blockchain based systems are employed: Consortium blockchain and public blockchain in order to provide secrecy, privacy and trust of the data.
The method of regularizing the sign space of the biometric model of the keyboard handwriting of users of military information systems on the basis of factor analysis

The article addresses the current scientific task of regularizing the feature space of the biometric model of the keyboard handwriting of users of military information systems in order to increase the effectiveness of the user authentication procedure by access control and demarcation systems. The setting of this scientific task is due to the presence of the following shortcomings of the existing biometric models of users' keyboard handwriting: when the number of users in the system increases, the complexity of their classification increases; the complexity of formalizing the uniqueness of users; the implementation of determining the fact of replacing an already authorized user is too complex; the feature space of the existing biometric models is insignificant due to the limitation of the set of properties of the modern keyboard, which negatively affects the accuracy of the authentication procedure. A biometric model of keyboard handwriting was chosen, the feature of which is the formalization of the uniqueness of the user of the information system on the basis of the detection of the regularities of the keyboard handwriting by fuzzy rules. An improved method of regularization of the feature space of the biometric model of keyboard handwriting of users of military information systems is proposed. The essence of the proposed method, which distinguishes it from the existing ones, is that the increase in the set of features of the biometric model is achieved by adding to it discovered hidden facts from the set of own features based on factor analysis with the highest rate of their variability. The application of the proposed method allows solving the problem of non-linear separability of the n-dimensional feature space of the biometric model of keyboard handwriting, which in turn allows to increase the accuracy and reliability of the authentication procedure by control systems and access demarcation of military information systems.
Mappings, dimensionality and reversing out of deep neural networks

Abstract We consider a large cloud of vectors formed at each layer of a standard neural network, corresponding to a large number of separate inputs which were presented independently to the classifier. Although the embedding dimension (the total possible degrees of freedom) reduces as we pass through successive layers, from input to output, the actual dimensionality of the point clouds that the layers contain does not necessarily reduce. We argue that this phenomenon may result in a vulnerability to (universal) adversarial attacks (which are small specific perturbations). This analysis requires us to estimate the intrinsic dimension of point clouds (with values between 20 and 200) within embedding spaces of dimension 1000 up to 800,000. This needs some care. If the cloud dimension actually increases from one layer to the next it implies there is some ‘volume filling’ over-folding, and thus there exist possible small directional perturbations in the latter space that are equivalent to shifting large distances within the former space, thus inviting possibility of universal and imperceptible attacks.
The Lexicostatistics of Hitu Language: Relationship of the Old Hitu Dialect, Larike, and Kaitetu

Maluku Province has 62 local languages.One of the regional languages that has a large number of speakers is the Hitu language spoken by the people along the Lehitu Jezirah, Ambon Island.The history of Hitu has been revealed by several previous researchers, but there are still some frequently debated assumptions about Hitu and the other dialects spoken in its vicinity.Therefore, this study will look at the kinship relations of the Hitu language through its dialects.Language Map, Badan Bahasa (2019) stated that the Hitu language has 13 dialects through dialectometry studies.Research on language kinship is a comparative historical linguistic study that will describe kinship relationships through lexicostatistical studies/analysis of Hitu dialects on Ambon Island, Central Maluku Regency, Maluku Province.In addition to these dialects being in the same geographical area, they also have some of the same vocabularies so that it is very possible for dialect kinships to be both phonemically and lexically.To prove this assumption, it is necessary to conduct linguistic research by documenting the three Hitu dialects (Hitu Lama, Kaitetu, and Larike).This study uses a quantitative approach with the lexicostatistic method which aims to describe the kinship relationship of Hitu dialects (Hitu Lama, Kaitetu, and Larike.).Data were collected using direct observation, listening, and recording methods.The results showed that the three Hitu dialects still have a very close kinship level.The percentage of kinship/kinship between the three Hitu dialects ranges from 53-77%.
Swear Words from the Transgender Lexicon in the Hate Speech Law Case in Indonesia

Hate speech law cases in Indonesia also involve transgender discourse.Transgender discourse often appears in the form of a lexicon that is used to express swear words.This study aims to identify the lexicon associated with transgender that appears in the case of hate speech law in Indonesia.To get it, the researcher collected data from the Direktori Putusan Mahkamah Agung from 2017-2022 in a documentary manner.The collected data is compiled into a corpus and retrieved with AntConc.From the corpus, the lexicons that often appear are bencong, banci, homo, and wandu.Through the concordance feature, it is identified that the lexicon is often used as a greeting addressed to the speech partner as the victim.In addition, this lexicon also appears as an adjective that comes after the noun.Uniquely, this lexicon is more often aimed at male speech partners who do not have transgender status, while for speech partners who have transgender status, other lexicons appear, namely perek and lonte.
The Impact of Linguistic Intelligence on Indonesian Narrative Writing Skills

The purpose of this study was to determine the linguistic intelligence of students' Indonesian narrative writing skills.This study uses experimental research with a one-group experimental design.The participants in this study were students at Kusumanegara University, Jakarta. 100 students are a participant in this research process.The process of collecting data using essay tests (writing narratives) and questionnaires for linguistic intelligence.The data analysis technique used correlation Product Moment.The findings conclude that there is a significant impact on the level of students' linguistic intelligence on the quality of narrative writing.The mean of the narrative writing test was 83,9 with the highest score being 95 and the lowest score being 70.While the result of the product moment test between linguistic intelligence on narrative writing ability is 0.1029.It means that it is a very high correlation.So, there is a significant difference and influence of students' linguistic intelligence on the results of their narrative writing.Thus, teachers must be able to direct their linguistic skills to be better so that learning to write can have contextual value in the lives of students.
Integration of the Language of Makassar into Indonesian as an Inter-ethnic Communication Media in Makassar City

This article discusses the diversity of ethnic languages such as Chinese, Bugis, Javanese, Sundanese, Banjarmasin and others that interact with the Makassar language as an indigenous language in Makassar City.This inter-ethnic language interaction requires a neutral communication medium as the inter-ethnic liaison language, namely Indonesian.The study of integration between the Makassar language and Indonesian is considered important to increase the capacity of the Makassar dialect of Indonesian which is very productive and systemically used by its speakers.This article can also guide speakers of other ethnic languages to be able to use Indonesian Makassar dialect appropriately so that misunderstandings in inter-ethnic communication can be minimized due to the presence of linguistic facts as local characteristics that need to be understood by speakers of other ethnic languages in Makassar City.Data collection is done by elicitation, recording, and random sampling techniques by inviting speakers to communicate according to the type of data required.The data were analyzed descriptively to provide information to readers about the linguistic facts of the Makassar language integrated into Indonesian.The contact of the Makassar language with Indonesian resulted in the Makassar dialect of Indonesian.Indonesian Makassar dialect provides its own characteristics which contain politeness values with a higher degree of politeness compared to politeness in Indonesian.Politeness, respect, and respect for intra-ethnic and inter-ethnic are manifested in the presence of certain linguistic facts.The linguistic fact that marks the integration of Makassarese dialects into Indonesian is the participation of personal pronouns, both in free and bound forms, known as clitics.In addition, there are also some particles that characterize the character of the Makassar-Indonesian language as a strengthening of inter-ethnic communication in various aspects of life in a communal society.
What do corpus data reveal about anaphora resolution? Spanish vs. Greek and the Type of Topic Hypothesis

Anaphora Resolution (AR) is a pervasive phenomenon in natural languages. AR relates to how referring expressions (REs) (e.g., null/overt subject pronouns, and NPs) corefer with their antecedents in discourse. We use corpus methods to simultaneously compare AR in two null-subject languages (Spanish vs. Greek). We analyse a Spanish-native sample (CEDEL2 corpus, N=341 REs analysed) and an equally-designed Greek-native sample (GLC corpus, N=400 REs analysed), while keeping constant the text type (Chaplin narrative task), the annotation scheme (tagset), the tagging procedure, and the profile of the natives. Our corpus results reveal similarities in the way Spanish and Greek natives construct their narratives regarding the distribution of the information status of the REs (topic continuity/shift) and the distribution of characters (main/secondary) in discourse. Crucially, our two languages differ in relation to topicality (Greek capitalises on discourse topic whereas Spanish relies more on sentential topic), which leads to a different distribution in the realization of REs in discourse. These similarities and differences are accounted for by a new theoretical proposal, the Type of Topic Hypothesis (TTH), which postulates that there is a tension between discourse-topic vs. sentential-topic oriented languages. The TTH captures the idea that, while narratives are constructed in the same way in both languages, RE realization varies as a result of the discourse-topic orientation of Greek vs. the sentential-topic orientation of Spanish.
Augmented Reality-Based Ruler Application

The goal of this project is to develop an algorithm for estimating the size and placement of objects in the classroom utilising beacon-based AR technology for location management. The application was designed and built using the Unity 3D software game engine with Open CV memory stored in the library. Devices running on assets that build different operating systems such as Windows, iOS and Android were intended to use it. Concept evaluation is carried out in 3 scenarios, in this application we can capture the image with the help of lenses and localization and mapping algorithms. This application aims to find the length of any object or help to design interior design or take measures, the object with it can detect horizontal and vertical planes that can capture in the particular app. It can work simply in one tap on the particular screen, the algorithm is working on the environment after that we can drag or simply second tap, and then we can take a measure of any object.
Analysis of Student Investment Decisions in the Era of Industrial Revolution 4.0

In Indonesia at the beginning of 2020, many variants of investment instruments have emerged, this is in line with increasing public awareness.However, since the Covid-19 pandemic has had a huge impact on the investment climate, especially in Indonesia.This change reached 180 degrees because many people were affected by layoffs, business stalls and other factors.Seeing the current situation, there is a need for research that examines the extent of investment made by the community, especially in the younger generation.This study aims to analyze the extent of investment decisions made by Universitas Negeri Padang students.The sampling technique used in this study is a purposive sampling technique, where the data sampling technique uses certain considerations.The number of data samples taken is 97, the researcher uses the Willian Chocran formula.The result showed that the investment decisions of Universitas Negeri Padang students are good enough and there is an influence of Interest to Investing on investment decisions.
Mapping Abandoned Uranium Mine Features Using Worldview-3 Imagery in Portions of Karnes, Atascosa and Live Oak Counties, Texas

Worldview-3 (WV3) 16-band multispectral data were used to map exposed bedrock and mine waste piles associated with legacy open-pit mining of sandstone-hosted roll-front uranium deposits along the South Texas Coastal Plain. We used the “spectral hourglass” approach to extract spectral endmembers representative of these features from the image. This approach first requires calibrating the imagery to reflectance, then masking for vegetation, followed by spatial and spectral data reduction using a principal component analysis-based procedure that reduces noise and identifies homogeneous targets which are “pure” enough to be considered spectral endmembers. In this case, we used a single WV3 image which covered an ~11.5 km by ~19.5 km area of Karnes, Atascosa and Live Oak Counties, underlain by mined rocks from the Jackson Group and Catahoula Formation. Up to 58 spectral endmembers were identified using a further multi-dimensional class segregation method and were used as inputs for spectral angle mapper (SAM) classification. SAM classification resulted in the identification of at least 117 mine- and mine waste-related features, most of which were previously unknown. Class similarity was further evaluated, and the dominant minerals in each class were identified by comparison to spectral libraries and measured samples of actual Jackson Group uranium host rocks. Redundant classes were eliminated, and SAM was run a second time using a reduced set of 23 endmembers, which were found to map these same features as effectively as using the full 58 set of endmembers, but with significantly reduced noise and spectral outliers. Our classification results were validated by evaluating detailed scale mapping of three known mine sites (Esse-Spoonamore, Wright-McCrady and Garbysch-Thane) with published ground truth information about the vegetation cover, extent of erosion and exposure of waste pile materials and/or geologic information about host lithology and mineralization. Despite successful demonstration of the utility of WV3 data for inventorying mine features, additional landscape features such as bare agricultural fields and oil and gas drill pads were also identified. The elimination of such features will require combining the spectral classification maps presented in this study with high-quality topographic data. Also, the spectral endmembers identified during the course of this study could be useful for larger-scale mapping efforts using additional well-calibrated WV3 images beyond the coverage of our initial study area.