Reviewerly/exHarmony huggingface dataset:
Uniqueness Theorem of Reconstruction of Preimage by Its Image Under Degenerate Mapping

One of the urgent problems in the construction of computer vision systems is the problem of determining the spatial orientation and spatial position of an object from a photograph. For example, this task is especially important for autonomous driving systems, where the positioning of nearby vehicles is a key issue for autonomous vehicles in an urban environment. In this regard, for example, in 2019, the Baidu Robotics and Autonomous Driving Laboratory together with Peking University, set an appropriate task for the Kaggle community (https://www.kaggle.com/c/pkuautonomousdriving) and provided more than 60,000 copies of threedimensional cars marked from 5,277 real images. In this article, we formulate some results that are the mathematical basis for substantiating methods for solving the abovementioned reconstruction problems in computer vision systems.
Research on AGV visual perception dynamic exposure algorithm based on gray entropy threshold difference value

For the narrow dynamic range camera commonly equipped on outdoor AGV vehicles, when the traditional exposure algorithm is used in the environment with variable light intensity, sometimes over-exposure and under-exposure will occur, which makes it difficult to obtain balanced exposure effect. In order to solve the problem of poor adaptability of traditional exposure algorithm to AGV narrow dynamic range CMOS sensor, an exposure algorithm based on gray entropy threshold difference value is proposed in this paper. Firstly, according to the distribution characteristics of key road information in the image obtained by AGV, regions of interest in the image are divided to exclude the interference of background information on subsequent processing. Then, the gray entropy threshold difference value is obtained by combining the OTSU threshold and the one-dimensional entropy value of the image, and it is used as a final control parameters to dynamically adjust the exposure time. This parameter has the advantages of gray threshold selection method and image information entropy method, it can feedback the current image quality more reasonably. Experimental results show that the algorithm can effectively adjust exposure under different illumination intensity. The algorithm can not only get better exposure effect, but also has better adaptability and stability in comparison with the conventional algorithm.
Effects of tilt and orientation of solar conversion devices on annual solar radiation collection in various cities of New Zealand

Prevalence of a relationship between CO2, along with other greenhouse gases, and the changes in global temperatures has been apparent throughout our planet's history.Energy production from burning fossil fuels is currently responsible for three quarters of our global greenhouse gas emissions (Al-Ghussain, 2019).The world needs to move to low-carbon sources of energy such as renewables to reduce CO2 output.Renewable energy is any form of energy generation which involves the extraction of energy from a resource either without depletion of that resource,
A Lightweight authentication scheme for IoT against Rogue Base Station Attacks

Internet of Things (IoT) devices supporting intelligent cloud applications such as healthcare for hospitals rely on connecting with local base stations and access points to provide rich data analysis and real-time services to users. Devices authenticate with local base stations and perform handover operations to connect with access points with higher signal strength. Attackers disguise as valid base stations and access points using publicly accessible SSID information connect with local IoT devices during the handover process and give rise to data integrity and privacy concerns. This paper proposes a lightweight authentication scheme for private blockchain-based networks for securing devices from rogue base stations during the handover process. An authentication certificate is designed for base stations and machines in local clusters using SHA256 and modulo operations for enabling quick handover operations. The keys assigned to each device and base station joining the network are hashed, and their sizes are reduced using modulo operations. Furthermore, the compressed key size forms a certificate, which is used by the machines and the base stations to authenticate mutually. In comparison with existing studies, the performance analysis of the proposed scheme is based on the transmission of three messages required for completing the authentication process. Evaluation based on the Communication Overhead demonstrates a minimum improvement of 99.30% fewer bytes exchanged during the handover process and 89.58% reduced Storage Overhead compared with existing studies.
Repercussions experienced by health professionals working with Integrative and Complementary Practices during the pandemic

Objective: to analyze the repercussions experienced by health professionals who were assisted with the use of integrative and complementary practices during the pandemic of COVID-19. Methods: qualitative study whose data were collected through interviews, which were transcribed and submitted to thematic content analysis. Results: 12 female health professionals participated and pointed out the importance of the inclusion of integrative and complementary practices in strengthening the well-being of health professionals in the Unified Health System and the relevance of offering these services in the pandemic scenario, as it helped them face stress, insomnia, mental fatigue, and anxiety. Two categories emerged: Sensation of valorization, welcoming, recognition and care, and Repercussions on the emotional and physical health of the workers. Conclusion: the data showed the positive repercussions of Integrative and Complementary Practices developed by health professionals, demonstrating the potentiality of these practices in promoting mental health. Contributions to practice: the implementation of actions with the use of Integrative and Complementary Practices by managers constitutes a form of care by health professionals in the Unified Health System, as these result in quality of life, promotion, and restoration of physical and mental health of the individuals assisted.
Upaya Peningkatan Kemampuan Membaca Puisi dengan Metode Cooperative Script pada Peserta Didik Kelas XI SMA Muhammadiyah Kupang

This study aims to describe the process of learning to read poetry with the cooperative script method and describe the results of learning to read poetry using the cooperative script method for class XI students of Senior High School Muhammadiyah Kupang in the 2020/2021 school year. This type of research is Classroom Action Research. Data collection techniques are observation, test and documentation. The data analysis technique used are descriptive qualitative and quantitative analysis techniques. Qualitative analysis techniques to obtain student responses to learning activities. Quantitative analysis techniques used to describe the data from the results of students' ability to read poetry and take tests at the end of each cycle. The results showed that the results of the poetry reading skills test with the cooperative script method carried out in both cycles showed that the students experienced an increase in grades of 49.5%, the average value of students from 64.66 in the first cycle increased to the average score 76.54 in the second cycle. It is proven that students have increased in every aspect of reading poetry in the first cycle and the second cycle. Therefore, the cooperative script method can improve students' ability to read poetry in class XI students of Senior High School Muhammadiyah Kupang for the 2020/2021 school year.
Special characteristics of a person who commits a crime associated with the illegal transplantation of human anatomical materials

This article aims to clarify the features of the forensic characteristics of a person involved in the commission of crimes related to the illegal transplantation of human anatomical material. This research uses a comprehensive approach to study the problems under analysis; systematic method and methods of comparative law to analyses judicial practice and cases of illegal transplantation of anatomical parts from various countries in order to establish the moral and psychological characteristics of the offender and, finally, to determine the possibility of using this information during the pre-trial investigation of criminal proceedings of this category; statistical: to collect and analyze empirical data on research practice in the transplantation of anatomical materials to confirm the representativeness of the results. It is concluded that, as a rule, the person who commits these crimes is male from 25 to 50 years old, unmarried, works in a medical institution or organization, has a complete higher education, as well as special medical knowledge and skills. However, the geography of these criminal offenses showed that the location for illegal transplantation is irrelevant.
Text Coverless Information Hiding Based on the Combination of Chinese Character Components

In recent research works on coverless text information hiding, there are two main problems to be solved: low hiding success rate and small hiding capacity caused by the small amount of redundant information in the cover text. In order to overcome these problems, a method of coverless information hiding based on the combination of Chinese character components is proposed. This method is based on the traditional “location tag [Formula: see text] keywords” mode for coverless information hiding, but with an improved design to extend the scope of available keywords for data hiding beyond the original cover texts. In our proposed method, each Chinese character in the keyword is split into two components: radicals and independent Chinese character, which are collected and will be recombined in pairs to generate the new Chinese characters. This method increases the hiding success rate and hiding capacity by generating Chinese characters that do not exist in the original cover text. The experimental result shows that the proposed method can utilize less size of carrier text database for efficient information hiding. When the size of carrier text database is reduced to 198[Formula: see text]MB, the highest hidden capacity and hidden success that can be achieved are 13.45 and 0.99, respectively.
STUDENTS GROUPING CAN INCREASE STUDENTS’ PERFORMANCE

Educational facilities are under increasing pressure to improve the quality of education and adhere the curriculum that reflect the needs of practice. In order to be able to meet this goals, schools and universities apply different methods of organizing learning process. This paper presents an evaluation of the system of grouping students into study groups. The paper is devoted to the analysis of comparison of study results compared with their results from entrance exams two measurements carried out on students of three-year bachelor study with economic focus. The purpose of this study is to choose the system of grouping students to increase performance of students.
An Assurance Process for Big Data Trustworthiness

Modern (industrial) domains are based on large digital ecosystems where huge amounts of data and information need to be collected, shared, and analyzed by multiple actors working within and across organizational boundaries. This data-driven ecosystem poses strong requirements on data management and data analysis, as well as on data protection and system trustworthiness. However, although Big Data has reached its functional maturity and represents a key enabler for enterprises to compete in the global market, the assurance and trustworthiness of Big Data computations (e.g., security, privacy) are still in their infancy. While functionally appealing, Big Data does not provide a transparent environment with clear non-functional properties, impairing the users’ ability to evaluate its behavior and clashing with modern data-privacy regulations. In this paper, we present an enhanced assurance process for Big Data, which aims to increase transparency and trustworthiness of Big Data computations. The assurance process evaluates Big Data computations at all layers from the specific Big Data pipelines to the Big Data ecosystem underneath.
Fatores relacionados com necessidades informacionais durante o tratamento de feridas

This work investigated factors related to the information needs of nursing students and professionals in wound care. A quantitative descriptive survey was carried out with an online questionnaire between January and February 2020. We obtained results from almost all Brazilian states. The participants’ profile was compared with their information needs on patient's health and on wound. Needs vary between regions and states, but are similar between similar sized cities. Training, experience and frequency of wound care attendance tend to increase the information needs. Similar workplaces have similar needs. Use of devices tends to increase the information needs in a certain order. Knowledge about wound care seems to be the main factor related to the information needs.
O método Quadripolar e a sua aplicação em trabalhos científicos

This article presents a study on the use and exploitation of the quadripolar method in the context of master's and doctoral studies mainly in Information Science. To this end, studies conducted in Portugal and Brazil between 2006 and 2019 were surveyed. In the field of Information Science, whose object information is taken as a phenomenon, therefore with greater complexity and scope, namely social, a methodological approach that deals with this complexity is required. Thus, the quadripolar method is a viable option that assists in the approach of phenomena associated with information, its use and exploitation, in the context of Information Science. The Quadripolar Method proposes a multidisciplinary approach in which it combines both the qualitative and quantitative approaches, proposing a dynamic research instrument, based on the result of the interaction between four poles: epistemological; theoretical; technical and morphological. This approach allows the double study of the problem in question, both in its context and as a representative of a common class of similar problems.
Reverse Engineering of Hamiltonian Expressions from D-Wave programs

Quantum annealing software has achieved a certain market penetration since it has demonstrated a good performance for optimization problems. The problem definitions (Hamiltonians functions to be minimized) are usually built in combination with classical software that can evolve over time. Thus, it is difficult to comprehend the underlying Hamiltonian and represent it in an accurate way for maintaining such programs. Although some reverse engineering techniques have been proposed for gate-based software, there are no choices to accomplish reverse engineering in quantum annealing. This research proposes a dynamic analysis technique of D-Wave (python) programs for reversing Hamiltonians, which has been preliminarily evaluated with nine programs. The technique also represents those expressions by using the Knowledge Discovery Metamodel (ISO/IEC 19506). Due to the usage of this standard, the outgoing expressions can be represented in combination with other parts of classical-quantum software systems. Thus, the main implication is that this technique contributes to the software modernization of/towards hybrid information systems.
Path planning with the derivative of heuristic angle based on the GBFS algorithm

Robots used in extreme environments need a high reactivity on their scene. For fast response, they need the ability to find the optimal path in a short time. In order to achieve this goal, this study introduces WA*DH+, an improved version of WA*DH (weighted A* with the derivative of heuristic angle). In some path planning scenes, WA*DH cannot find suboptimal nodes with the small inflation factor called the critical value due to its filtering method. It is hard to develop a new filtering method, so this study inflated the suboptimality of the initial solution instead. Critical values vary in every path planning scene, so increasing the inflation factor for the initial solution will not be the solution to our problem. Thus, WA*DH + uses the GBFS algorithm with the infinitely bounded suboptimal solution for its initial solution. Simulation results demonstrate that WA*DH + can return a better solution faster than WA*DH by finding suboptimal nodes in the given environment.
Penerapan Data Mining Untuk Memprediksi Daya Serap Lulusan Siswa Menggunakan Algoritma Native Bayes

The importance of predicting the absorption of Vocational High School (SMK) graduates in the world of work, especially SMK Negeri 9 Muaro Jambi which is not yet known about the prediction of the world of work that accepts SMK graduates so that the purpose of this study is to analyze the prediction of the accuracy of the absorption of graduates of SMK Negeri 9 Muaro Jambi as material. a reference to see whether the graduates of SMK Negeri 9 Muaro Jambi have achieved the expected goals or not so that this analysis can be used as input for schools to improve the competence of SMK students. This implementation is assisted by using the Rapidminer and WEKA applications with 100 alumni work data input. The attributes used in this analysis process are Department, Waiting Time and Field of Work and Class of Work Field Accuracy. The process in this analysis is carried out with data that has been provided with the Naïve Bayes Classification Method to predict the absorption of graduates. The results of this study the highest accuracy value in the Rapidminer application is at 100% and WEKA is at 100%.
Comparison of TMA tracking algorithms for a centralised fusion architecture

This paper summarizes the results of an activity dedicated to the test and comparison of different Target Motion Analysis (TMA) tracking architectures on simulated data. TMA is one of the most challenging functions that is needed for the successful operation of the own-ship platform. The final goal of an effective TMA architecture is to deliver to the operator an automatic indication of the kinematic state of a target located in the observation space of the platform. TMA tracking is a non-linear problem for which an optimal solution is practically not available. Up to nowadays various approaches have been proposed and described in the technical literature that try to get close to the optimal solution. The simulation tool presented in this paper has been developed in order to compare the results obtained by these different algorithms in correspondence of selected realistic scenarios.
An Immersive Approach for Scholar Profile Visualization

Interactive visualizations can help users to find researchers and their research profiles contributing to the challenge of information overload due to the increasing number of published articles. Previous studies using bibliographical data on scholars and their articles have focused primarily on 2D visualizations, especially those displaying topics of researcher expertise. Alternatively, our work contributed to a 3D visualization framework for scholars rather than articles based on published research using Virtual Reality (VR) to create an immersive user experience. Procedures in the framework include collecting Scopus article metadata to generate subject domains, mapping articles-domains to identify scholars' research expertise, transforming scholar data points, and building the visualization inside the virtual environment. The creation of subject domains and the labeling process of Scholar metadata utilizes Scopus metadata originating from Scopus subject area. After labeling the article metadata, the transformation process that employed both metadata of Scopus and Scholar led to researcher coordinates for a scatter diagram panel in the VR space. Those labels and coordinates become parts of user tasks that yielded positive feedback for the proposed VR-based visualization of bibliographical data. Through some questionnaires, our experiments demonstrated a proof of concept according to the proposed framework resulting in good usability, especially concerning clarity, ease of access, and layout settings.
Reproducible and accurate subject-wise sleep posture detection by detecting and removing turns

Maintaining a good sleep hygiene is an important factor to avoid the symptoms of sleep disorders or worsen the symptoms of other diseases. Polysomnography is the study of sleep performed by professionals during a night at the hospital. On these studies they perform the diagnosis of diseases and patients are not monitored any more. A non-intrusive and low-cost ambulatory monitoring would allow a follow-up of the diagnosed patient. Such studies use numerous and uncomfortable sensors that disturb the patients’ rest. One of the sensors on the chest monitors 4 torso postures: prone, supine, left lateral and right lateral. In this work we analyze the reliability of performing posture monitoring during sleep with a wearable device on the wrist. In our methodology we develop classification models to prove that in order to make these models applicable on real data it is necessary to (i) perform a subject-wise training and (ii) detect and eliminate the monitoring periods corresponding to turns of torso or sudden movements. Our methodology improves the state-of-the-art results by more than 0.011 points with F-values on new subjects of 0.966 and 0.989 for Random Forest and k-Nearest Neighbors algorithms respectively.
Implementasi Kebijakan Proses Perencanaan Dan Penganggaran Pada Biro Sistem Informasi, Perencanaan Dan Pengembangan Universitas Sumatera Utara Medan

This study aims to determine and analyze the Implementation of Planning and Budgeting Process Policies at the Information Systems Bureau, Planning and Development of the University of North Sumatra Medan and to find out what factors are the obstacles / obstacles in the Implementation of the Planning and Budgeting Process Policy at the Bureau of Information Systems, Planning and Development, University of North Sumatra Medan. The research method used is a descriptive method with a qualitative approach, with research informants being the Head of Bureau, Head of Section, Head of Subdivision and Staff at the Bureau of Information Systems, Planning and Development, University of North Sumatra, Medan. The theory used is George C Edward III's public policy theory. The results of this study indicate that the Planning and Budgeting Process Policy Implementation at the Information Systems, Planning and Development Bureau has been implemented but has not achieved optimal results. The success of policy implementation needs to be supported by the authority and SOP for Planning and Budgeting at the Information Systems, Planning and Development Bureau at USU Medan. The factors that influence the Implementation of Planning and Budgeting Policies at the Bureau of Information Systems, Planning and Development of the University of North Sumatra are communication, disposition, resources, and bureaucratic structure. Good communication distribution and good coordination between leadership and staff are needed in order to produce a good implementation, therefore it is recommended to issue a Standard Operating Procedure (SOP) for planning and budgeting process policies in order to provide optimal results in the planning and budgeting process.