Reviewerly/exHarmony huggingface dataset:
Variational Bayesian-based robust adaptive filtering for GNSS/INS tightly coupled positioning in urban environments

Kalman filter (KF) is an efficient approach for state estimation in integrated positioning systems of global navigation satellite systems and inertial navigation systems (GNSS/INS). Unfortunately, GNSS/INS integrated positioning systems are susceptible to state model perturbations and measurement outliers, which can severely degrade KF performance, especially in complex urban environments. To solve this problem, a robust adaptive filtering algorithm based on variational Bayesian (VBRAKF) is presented that can be employed in GNSS/INS tightly coupled positioning systems. In VBRAKF, the robust estimation approach is first introduced into the filter, followed by modeling the predicted covariance matrix using the inverse Wishart distribution, and finally the state is estimated using Variational Bayesian. The robustness is achieved by adjusting the noise by an equivalent weight matrix to reduce gross errors in observations, while the adaptiveness is realized by the variational Bayesian estimation method for the uncertain predicted noise covariance matrix. The positioning performance of the proposed algorithm in urban environments is verified through two sets of land vehicle experiments. The experimental results demonstrate that the 3D positioning accuracy of the VBRAKF algorithm is improved by 32.1 % and 23.5 % in experiment 1 and by 37.1 % and 17.3 % in experiment 2 when compared to KF and Robust Kalman Filter (RKF). The proposed VBRAKF algorithm has better positioning performance in all schemes, can simultaneously control the influence of measurement outliers and inaccurate noise statistics and improves the accuracy of filter estimation.
Game

This chapter discusses 14 game-based problems, which are explained through examples and subsequently programmed in Python. The problems are as follows: 1. Determining the card that leads the player to win the game. 2. Hand shape in Bridge game. 3. Obtaining the abbreviations in the contract bridge game. 4. Same hand shape distribution in a card game. 5. The number of rounds in a given permutation. 6. Reaching stable state in candy share. 7. African Oware game. 8. The number of Safe Squares Rooks of Chessboard. 9. The number of Safe Squares not threatened by bishops. 10. Reaching Knight jump. 11. Capturing maximum checkers in chessboard. 12. The number of safe squares for friend pieces in a chessboard. 13. Crag Score. 14. Optimal crag score with multiple rolls.
Python Basics

This chapter provides an overview of the fundamental concepts and knowledge of Python required for this book. It includes instructions for installing and running a simple Python program, covers the concept of variables and the basic data types of boolean, integer, float, string, and the sequence type of range. The chapter also discusses data structures such as lists, arrays, matrices, dictionaries, and sets, as well as various types of if statements with examples. It covers loop statements, including for and while loops, as well as nested loops, and provides examples for each type. Finally, the chapter provides examples for creating built-in functions, user-defined functions, lambda functions, modules, and generators. Note that this chapter does not cover all statements and modules of Python.
Meningkatkan Keterampilan Menulis Bahasa Inggris melalui Teknik “Exposure Generalization Reinforcement and Use”

In learning English, especially in the aspect of writing, which is attended by students with various levels of ability, it seems that they show less activity and mastery of grammar and vocabulary is still weak. This deficiency has an impact on the low learning outcomes of students' writing in English. The purpose of this classroom action research is to improve students' writing skills and improve mastery of sentence patterns and vocabulary in students' English learning through the "Exposure Generalization Reinforcement And Use" technique in class X-2 students of SMA Negeri 1 Woja odd semester of the academic year 2022/2023. Based on the results of data analysis, the average value of the writing test in cycle I was 65.38, the average value of the writing test in cycle II was 70.83 and in cycle III was 74.84. In cycle I there were 56.41% of students classified as active and very active, in cycle II there were 97.44% of students classified as active and very active, while in cycle III all students seemed active. Based on the results of the research and discussion above, it can be concluded that the "Exposure Generalization Reinforcement And Use" technique can improve students' English writing skills.
Implementation of Augmented Reality for Solar System Subject in Primary School

This study investigates the implementation of Augmented Reality (AR) technology in elementary school education to enhance students' learning experience about the Solar System. The study adheres to the ADDIE instructional design model, which involves five stages: Analysis, Design, Development, Implementation, and Evaluation. A specific Android-based AR application, named SolAR System, is developed, enabling students to interact with 3D objects and gain knowledge about the planets through an immersive approach. The study incorporates a needs analysis and performance analysis, employing observation methods to gather relevant data. Evaluations are conducted to assess the application's validity, practicality, and effectiveness, employing measures such as pre-tests and post-tests. An experimental study involving 30 primary school students is conducted, demonstrating a notable improvement in their understanding of the Solar System, thereby indicating the effectiveness of AR as an educational tool. However, challenges pertaining to device accessibility and school policies concerning smartphone usage are identified during the implementation phase. In conclusion, this research affirms that AR can significantly enhance students' learning experience regarding the Solar System and recommends future development of AR applications for other mobile operating systems, such as IOS.
ՊՐՈՖԵՍՈՐԱԴԱՍԱԽՈՍԱԿԱՆ ԿԱԶՄԻ ՎԵՐԱՊԱՏՐԱՍՏՄԱՆ ՈՐԱԿԻ ԱՊԱՀՈՎՄԱՆ ՄԵԹՈԴԱԿԱՆ ՈՒՂԵՆԻՇՆԵՐ / METHODICAL GUIDELINES FOR QUALITY ASSURANCE OF TEACHER TRAINING AT HIGHER EDUCATION INSTITUTIONS

The current challenges and development tendences of higher education dictate that higher education institutions (HEIs) should ensure continuous professional development of their teaching staff, taking into account the significant impact of teaching on the quality of education. Teaching staff members should continuously undergo trainings, the efficiency of which should be implemented by applying up-to-date methods and methodical-pedagogical approaches. In this regard, the current research provides educational-methodical bases for ensuring quality of teaching staff trainings by suggesting key methodical guidelines which can be useful for HEIs, trainers, pedagogues and other stakeholders for ensuring effective teacher trainings at HEIs.
The Role of Cloud Service Brokers: Enhancing Security and Compliance in Multi-cloud Environments

&#x0D; The goal of this study is to put encryption key management strategies into practice while taking legal restrictions and the necessity for data accessibility into account. In order to reduce the danger of unauthorized access to cloud resources, this article explores the creation of Identity and Access Management (IAM) solutions that successfully apply role-based access control and abide by the least privilege principle. The advancement of digital business is both facilitated and disrupted by the usage of cloud technologies. Spending on cloud computing platforms and infrastructure is expected to rise significantly, with a compound annual growth rate (CAGR) of 30% predicted for the period between 2013 and 2018. In comparison, the corporate IT industry as a whole is anticipated to develop at a rate that is quite slow—5%. Additionally, an increasing number of businesses—precisely 85%—are seeing the benefits of using several cloud platforms to boost employee productivity, encourage collaboration, and spur corporate innovation. Regulations and standards are quite complicated, with possibilities for repetition and occasionally discrepancies. Utilizing existing standard models, patterns, architectures, and best practices is one efficient way to manage the difficulties brought on by compliance complexity, uncertainties, and overlaps. Examining regulatory practices and looking for overlaps have been efforts.
The Political Economy of Nigeria’s Oil Dependency and Its Implication on Economic Diversification

Nigeria is the largest economy in Africa, but it suffers from resource curse or Dutch disease where she is unable to leverage on her resource endowments to diversify into many other sectors of the economy. Her industrial capacity is very low due to infrastructure shortage. But the foregoing are motivated by rent-seeking and vested political power holders who rather will support implementing import-dependent policies. Consequently, it is difficult to adopt the latest technology and liberalize the economy for inclusive participation of the citizenry. Utilizing the New Institutional Economic (NIE) perspective, secondary sources of information and content analysis, the paper ascertained that protectionist policies of protecting nascent industries have not worked for Nigeria. For instance, closing the borders to protect local rice producers rather caused rice price volatility and inflation among others. Hence recommends a radical revolutionary change in the political economy will necessitate the needed reforms. All emerging economies in Asia passed through this stage of development.
Shaking Up Earthquake Science in Cascadia

A new center will bring together earthquake scientists to study the Cascadia Subduction Zone and clarify seismic hazards.
Virtual Reality and Augmented Reality for Immersive Learning: A Framework of Education Environment Design

The technologies of virtual reality (VR) and augmented reality (AR) have developed fast in recent years and have been applied in various scenarios, including the field of education. Now educators attempt to make use of these new technologies to create an immersive learning environment (ILE) for students, in the hopes of helping them improve learning efficiency and quality. Currently, available research on the design and optimization of ILE focus on how to introduce teaching content into the 3D environment and improve user experience, while a series of problems are still pending for solutions, such as how to arrange the layout in multi-dimensional space, how to optimize the vision in immersive environment based on edge strategy, and how to improve image quality using panoramic-view specific-region super-resolution (PSS) algorithms that use non-local feature fusion. In view of these matters, this study proposed a novel method for the design and optimization of an ILE. At first, problems of how to create a visual layout of network topology in the ILE, how to arrange the layout based on the advantages of different-dimensional spaces in scenes, and how to carry out visual optimization combined with the edge strategy were discussed in detail. Then, a new PSS algorithm that utilizes non-local feature fusion was proposed, and the functioning of the multi-scale non-local feature fusion module and the specific structure of the high-solution network were introduced in detail. The findings of this study could provide useful theoretical evidences and practical guidance for the design and optimization of ILE, giving new possibilities for improving the effect of ILE and enhancing user experience.
Artificial Intelligence System-based Chatbot as a Hotel Agent

Background: The idea of being able to communicate with an electronic device in a similar way as human beings is now the new big thing in the world of Artificial Intelligence. The fusion of AI and Cloud computing has given rise to a new technology that can understand and learn conversations in the natural language used by humans. In this Era, where automation is taking over the world, the invention of smart chat-bots has made it possible to imitate humans in various applications to reduce human effort and thereby perform at maximum efficiency. Objective: The objective is to replace a human-constituted assignment with an error-free technology. By using the intent modular concept of dialog flow, the role of the hotel receptionist is eliminated. The purpose of using an API of Google Cloud Platform namely Dialog flow in this project is to conveniently perform NLP (Natural Language Processing) i.e. training a robot to perform according to our instructions and understand the natural language spoken by humans and the hardware attached to the device enables the listening and speaking of the smart bot. Methods: Utilization of Dialog flow Enterprise Edition to make “Hotel Agent” with the use of intents comprising of a general hotel glossary. Results: Dialog flow as a natural language processing recognizer running on the processor Raspberry pie with Python as its constituent language. Finally, it is connected to Google Assistant to make it publicly available in the execution phase. Conclusion: The successful testing of the Artificial Intelligence-based device has ensured that manpower could be conveniently replaced by Machine Intelligence by using knowledge-based databases.
Students’ English Vocabulary through “Kate Kulp” Tiktok Videos

This study investigates the students’ English vocabulary through “Kate Kulp” TikTok videos at Eighth Grade of MTs Nur El Falah Kubang. This research was conducted based on the statement of the problem: (1) How is the students’ vocabulary mastery of eighth-grade MTs Nur El Falah Kubang? (2) How is the effect of “Kate Kulp” TikTok videos on students’ English vocabulary mastery? This study used a quasi-experimental method with two classes: class VIII B as the experimental class and class VIII A as the control class. After collecting the data, the researchers analyzed the data using the t-test. Based on the results, the average pre-test in the experimental class is 42 and the average post-test in the experimental class is 88.33. Meanwhile, the average pre-test in the control class is 44.33 and the average post-test value in the control class is 79. According to the result of the data, the value of tobservation (3,18) &gt; ttable (1,67) in 5%, and tobservation (3,18) &gt; ttable (2,39) in 1%. So, Ho is rejected and Ha is accepted, which means “Kate Kulp” TikTok videos are effective towards students’ English vocabulary mastery.
Pelatihan Pembuatan Laporan Keuangan Menggunakan Aplikasi Excel Pada Umkm Usaha Dagang R3 Di Kota Batam

MSME is one type of business that really needs financial reports because it invites strategic elements in the structure of the national and regional economy but is a Trading Business Partner (UD) R3 as MSMEs do not yet have financial reports so they do not know the benefits that have the potential to not continue the business. The purpose of this service is to provide counseling about financial reports and procedures for making financial reports using the excel application. The expected output target is the ability of the R3 Trading Business (UD) to prepare financial reports that comply with standards. The output is aimed at partners being able to understand financial reports and being able to make standard and practical financial reports using the Excel application. The results of the dedication show that UD R3 has been able to make standard and practical financial reports using the excel application, has been able to understand the basics of financial reports and their benefits so that in the end partners are able to prepare their own financial reports for their business, can practice directly by inputting each transactions for sales or purchases with Directions from the service team, can recognize computer applications in the form of excel which have been formulated so that every UD R3 partner transaction only makes a journal and finally obtains the necessary financial reports, can understand financial reports produced in practice which have been directly guided by the service team.
Tingkat Risiko Kawasan Rawan Banjir di Kecamatan Komodo Kabupaten Manggarai Barat

Komodo District is also one of the areas that is prone to disasters, especially floods, as happened in 2019 when a flood hit three villages, namely Gorontalo Village, Macang Tanggar Village and Golo Bilas Village, Komodo District. The purpose of this study was to determine the risk level of flood-prone areas in Komodo District, West Manggarai Regency. Methods of data collection in this study using documentation, observation, literature studies and related institutions. The analytical method used is quantitative descriptive analysis with overlay analysis techniques. The results showed that based on the results of the risk assessment analysis for West Manggarai Regency, the index for the flood hazard class for Komodo District was the moderate class index. This is in line with the results of research conducted where the Komodo District is included in the moderate risk level.
Penerapan Metode Fuzzy Sugeno Untuk Menentukan Kelayakan Pengiriman Limbah Barang Berbahaya Dan Beracun

PT Semesta Citra Alam Batam is engaged in waste management and is located in the city of Batam. The waste collected by PT Semesta Citra Alam Batam is gathered at a waste collection warehouse located in the Industrial Waste Management Area of Batam City. The collected waste must be transported to waste utilization or hazardous waste disposal facilities. The data collection technique in this research is through observation and interviews conducted at PT Semesta Citra Alam Batam. The data analysis method used is fuzzy logic with the Sugeno method, which involves four stages: fuzzification, forming a fuzzy knowledge base, inference engine, and defuzzification. The research results from the application of fuzzy logic to determine the shipment of hazardous waste (B3 waste) at PT Semesta Citra Alam Batam involve both input and output variables. The input variables consist of load, content, and the output variable is a decision made using Matlab. These variables will generate rules that will be used to determine whether to send the waste or not.
Perancangan E-Commerce Pada Victory Collection Berbasis Web

Along with developments in technology, companies are increasingly required to use advanced technology as a tool or media to survive and win the competition. The impact on the aspect of competition is the formation of an increasingly strong competition. The purpose of this research is to know how to design sales system at Victory Collection using web system; And to know how to optimize the sales system more effectively and efficiently at Victory Collection; As well as to find out how the solution to increase sales using a manual into a web-based system at Victory Collection. By using Waterfall Process Model method, all the system details that have been running and the system that will be proposed will be arranged and implemented to optimize the promotion and sales of existing products at Victory Collection. The Waterfall Process approach or method is a systematic and sequential systematic development model that starts at the level and progress of the system in all stages such as analysis, design, code, testing, and maintenance. This model covers activities such as engineering and modeling of information systems, needs analysis, design, coding, maintenance, and testing. The design of this information system is limited only to the food and beverage sales system. The results of this system is expected to minimize damage and loss of sales data and ordering goods at Victory Collection; And this system is expected to help facilitate the search and presentation of goods data at Victory Collection; And this system is expected to increase the sales ratio at Victory Collection.
Penerapan Algoritma K-Means Untuk Pemetaan Penerimaan Bantuan Kesejahteraan Masyarakat di Kota Batam

2020 is a very difficult year for humans in this world, with a virus outbreak that has swept across the country, this outbreak is called Coronavirus Disease 2019 (Covid-19). Including in Indonesia with cases that continue to increase every day, until now there is no sign of this outbreak ending, with this incident the government issued a policy for large-scale social restrictions or known as PSPB in various regions that fall into the category of large case zones and According to data from the Riau Islands Covid-19 cluster, in Batam City itself, the number of Covid-19 cases continued to increase so that it exceeded the number of 2000. As a result of this protracted disaster, of course, human life has been disrupted, many jobs have been neglected, so that various types of businesses have had to go out of business because their turnover has been much reduced and this has caused business voters to have to lay off their employees. This situation received rapid attention from the government through the social service agency to provide welfare assistance for people affected by COVID-19, but the problem here is from observations while researchers are still many of the assistance that is not right on target, causing polemics for the community. This research will utilize one of the datamining techniques with the K means algorithm to determine the mapping or segmentation of government assistance to communities affected by COVID-19 in order to accelerate people's purchasing power with the aim that research results can be used by community leaders such as RT, RW to record citizens who need this assistance. The results of the analysis show that the clustering segmentation with the data analyzed is 30 data stating that there are priority recipients which are divided into 5 clusters with predetermined criteria.
THE CHALLENGE OF LEARNING THE MALAY LANGUAGE OF KSSM FOURTH FORM STUDENTS ONLINE DURING THE COVID-19 PANDEMIC

COVID-19 has disrupted most sectors in the world. Online learning is the best solution to continue education during the pandemic, especially among upper secondary students. Therefore, this study aims to determine the challenges and obstacles in learning the Malay language faced by fourth grade students of the Standard Secondary School Curriculum (KSSM) in Bangsar Zone, Federal Territory of Kuala Lumpur. This phenomenon occurred during the transition period to online learning at the beginning of 2020 due to the COVID-19 pandemic. This study is to evaluate the students' challenges in the learning experience and facilitation (PdPc) of KSSM's Malay language. The feasibility of this virtual learning method was achieved by analyzing 356 student responses to a survey-based questionnaire. The results of the survey as many as 208 completed answers were taken into account for the purpose of this study. Descriptive statistical methods were used to test the validity of the study. It was found that the main problems affecting and impacting the learning of Malay language for form 4 students online during COVID-19 are related to technical, academic and communication challenges. The results of the study show that most form 4 students do not agree to continue learning online, because they cannot meet the expected progress in KSSM Malaylanguagelearning performance, especially essay writing, grammar and the Literary Component.