Reviewerly/exHarmony huggingface dataset:
GP-HSMMに基づく二重分節化モデルによる連続音声の教師なし構造学習

Humans can divide perceived continuous speech signals into phonemes and words, which have a double articulation structure, without explicit boundary points and labels, and learn the language. Learning such a double articulation structure of speech signals is important for realizing a robot that can acquire vocabulary and have a conversation. In this paper, we propose a novel statistical model GP-HSMM-DAA (Gaussian Process Hidden Semi Markov Model-based Double Articulation Analyzer) that can learn double articulation structures of time-series data by connecting statistical models hierarchically. In the proposed model, the parameters of each statistical model are mutually updated and learned complementarily. We present that GP-HSMM-DAA can segment continuous speech into phonemes and words with higher accuracy than the baseline methods.
Do Financial and Economic Development Have an Impact on Income Inequality? A Study on Bangladesh

This research attempts to determine why individuals are unable to achieve their fundamental necessities despite increased financial and economic growth by investigating the relationship between financial and economic development with income disparity.Alternatively, this paper examines, from the viewpoint of Bangladesh, the implications of the Financial Kuznets Curve hypothesis, a theory established in three phases based on Kuznets’s seminal 1955 work. The time series data of nine elements over the 28 years from 1993-94 to 2020-21 has been used in the study. The study employs the Autoregressive Distributed Lag method (ARDL)and Granger Casualty Test to identify the effect of financial and economic development on income inequality in Bangladesh. Principal Component Analysis (PCA) has been used to develop indicators for financial development and economic development. The study reveals that financial and economic development affect income inequality in Bangladesh; in fact, they increased income inequality over the years in this country. This indicates that the FKC hypothesis holds in Bangladesh, as FKC states that Financial and economic development constitutes a converse U-shaped relationship with income inequality, meaning that income inequality increases during the primary phase and continues in the medium phase of development. As Bangladesh is going through a development phase, income inequality is increasing.
PELATIHAN INSTALASI WINDOWS KOMPUTER/LAPTOP PADA MASYARAKAT DESA PANGGUNG, KECAMATAN PELAIHARI

Community service entitled “COMPUTER/LAPTOP WINDOWS INSTALLATION TRAINING IN DESA PANGGUNG COMMUNITIES, KECAMATAN PELAIHARI” has the aim of providing knowledge and skills for The Apparatuses of Desa Panggung in performing simple windows installations on their computers/laptops independently. The method used in carrying out this community service is to provide material directly and practice how to install Windows 10 on a laptop using virtual box tools. In addition, there was also a discussion method regarding the installation of windows with the participants.&#x0D; &#x0D; Community service in analyzing the level of understanding of the apparatus in the material that has been submitted by being given simple questions related to the material. The result of the activity based on the question and answer conducted between the participants and the presenters was an increase in knowledge about Windows Installation. The expected result of community service activities is that the participants can have knowledge in repairing their computers/laptops which includes the installation of the Windows operating system, installation of supporting software, and overcoming trouble if simple problems arise at any time.
Ask Your Data—Supporting Data Science Processes by Combining AutoML and Conversational Interfaces

Data Science is increasingly applied for solving real-life problems, in industry and in academic research, but mastering Data Science requires an interdisciplinary education that is still scarce on the market.Thus, there is a growing need for user-friendly tools that allow domain experts to directly apply data analysis methods to their datasets, without involving a Data Science expert.In this scenario, we present DSBot, an assistant that can analyze the user data and produce answers by mastering several Data Science techniques.DSBot understands the research question with the help of conversation interaction, produces a data science pipeline and automatically executes the pipeline in order to generate analysis.The strength of DSBot lies in the design of a rich domain specific language for modeling data analysis pipelines, the use of a suitable neural network for machine translation of research questions, the availability of a vast dictionary of pipelines for matching the translation output, and the use of natural language technology provided by a conversational agent.We empirically evaluated the translation capabilities and the autoML performances of the system.In the translation task, it obtains a BLEU score of 0.8.In prediction tasks, DSBot outperforms TPOT, an autoML tool, in 19 datasets out of 30.
The Analysis Characterization of Major Characters of Novel Carrie’s War by Nina Bawden through Implementing Feminist Approach

This study is conducted to identify the struggle that found in the novel Carrie’s War by Nina Bawden. In this study the researcher used Feminist criticism based on the content of the story in Carrie's War by Nina Bawden. In Carrie's War there is a story that shows how Carrie survived with a new environment after being evacuated to Wales. This novel also tells Carrie's life which is full of challenges and new experiences that make Carrie must be able to pass it. Feminist criticism is literary criticism conveyed by feminist theory, or more broadly, by feminism politics. In criticizing a language, feminist criticism uses the principles and ideology of feminism. This study is used qualitative method to analyze the charactaerization from each major characters. The researcher use three major characters such as Carrie Willow, Nick Willow, and Mr. Evans.
A Study on the Project-based Learning Experience of Pre-service Teachers

The purpose of this study is to explore pre-service teachers' project-based learning experience and educational implications. Seven pre-service teachers who attended the P-practice project conducted at A University in the 2nd semester of 2022 and were in the process of completing teaching courses participated in this study. A qualitative case study was used to examine the participants' project-based learning experience. As a result of the study, in the analysis within the case, it was found that the participants established an ideal teacher image, relieved anxiety about careers, stepped forward for various career developments, and established their own vocational views. In the cross-case analysis, the participants participated in the project learning with expectations for their career path, in-depth learning, and practical experience, and it was found that their teaching competency improved through the class. Although they experienced difficulties due to time pressure and differences between team members during the project implementation process, it was found that they gained confidence through feedback from instructors and peers and experienced qualitative growth in the learning process. Based on the research results, the direction of project learning for pre-service teachers was discussed.
Revealing EFL Students’ Perception towards the Implementation of Kahoot! in Learning Narrative Text at the Secondary School Level

Information and communication technology development has been massive in the last decades. This development allows teachers to utilize internet based applications such as Kahoot! as a learning tool. This present study was conducted to reveal the perception of secondary level students about the use of Kahoot! in learning narrative text. The participants of this study are 66 students of a junior high school in Sidoarjo. The study uses the quantitative method to collect and analyze the data. This study shows that students see Kahoot! in a positive way. They find Kahoot! as a learning tool that may help them improve their activities in class with an engaging environment, resulting in higher academic achievement.
A New Surveillance and Security Alert System Based on Real-Time Motion Detection

Due to the frequent and widespread instances of burglary, effective and accurate intrusion detection with an alarm system is now necessary. In this study, the proposed system is used for secret and vital places that need a good monitoring system based on human motion detection. The system can protect museums that contain critical historical objects and libraries with old historical books. The security alert system is also essential to the protection of banks. The system uses a two-frame difference algorithm and a simple background modeling algorithm for motion detection with the help of AForge.NET. Whenever the system detects motion, it interprets the frames of motion to determine humans by using YOLO. The security alert system activates the alerts whenever it detects human motion, like sending an email to an authorized person, triggering the LED alert and sound alert, recording a video of that place, taking a motion picture, and saving it within the databases. The system has the advantages of low cost, a user-friendly interface, and high security. The system was thoroughly tested to detect human movement in unauthorized areas. The system successfully detected human activity indoors and outdoors and activated the alarms. Also, the system could detect human movement in all four directions and alert observers directly at the time of the incident. In low light or minimum illumination, the system can determine human motion. The evaluation results showed that the system's accuracy in detecting human movement was 95%, which shows that the system is able to protect vital and secret places and can successfully monitor areas.
The GW Mobile Learning Center: Mixed-Reality within an Immersive and Interactive Learning Setting

The Community Medi-Corps Program - designed and implemented by the George Washington University (GW) School of Medicine and Health Sciences (SMHS) faculty with Growth and Opportunity Virginia funding (GO Virginia) - is aimed at leveraging the power of community, educational institutions, mentors, industry, and business partners to close the opportunity gap, transform student learning, and enrich the regional workforce. This program transforms educational experience through innovative virtual reality, augmented reality, and a mix between the two that is the enhanced reality (e-REAL). Students will be better prepared in the pathways they choose for high demand health and life sciences industry jobs that will help grow the economy.
The Use of Sentinel-2A Images to Estimate Potential Flood Risk With A Multi-Index Approach in The Mempawah Watershed

Natural disasters in Indonesia have become an annual cycle, an example is flooding. This study aims to determine the flood risk potential in the Mempawah watershed and the places likely to be flooded. The method used was a survey and interpretation of secondary data from topographic maps, Sentinel-2A images, and Digital Elevation Model images. Furthermore, the secondary data analysis used includes the Standardized Precipitation Index (SPI), Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Soil Adjusted Vegetation Index (SAVI), and Inverse Distance Weighted (IDW). The result showed that the Mempawah watershed has high, medium, and low flood risk potential. Areas with high flood potential have an area of 1,511,967 ha, those with medium potential were 2,606,778 ha, and the places with low potential were 12,644,034 ha. The changes in class user's accuracy results reached 90.909%, while those with no change were 83.333%. It was also discovered that when the satellite analysis was &gt; 70%, it was regarded as good. This means that the accuracy of the interpretation results and flood change detection approach was also good.&#x0D; Keywords : Sentinel-2A; Estimation Potential; Flood Risk; Watershed&#x0D; Copyright (c) 2023 Geosfera Indonesia and Department of Geography Education, University of Jember&#x0D; This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License
Solving Roulette Wheel Selection Method using Swarm Intelligence for Trajectory Planning of Intelligent Systems

Intelligent Systems is a defined methodical technique to solving major and somewhat complicated issues that consistently and reliably produces consistent and reliable outcomes. Understanding and benefiting from one's own experiences are two key components of intelligence, as defined by a variety of dictionaries. However, there are alternative connotations, such as the ability to learn and retain knowledge; mental ability; the ability to adapt rapidly and successfully to a new situation, etc. Intelligent systems are difficult to define and are the topic of much discussion. Intelligence may be measured in terms of a system's ability to adapt and learn from its environment, as well as its ability to handle uncertainty and inaccurate information. Using kinematic constraints such as geometric, physical, and temporal restrictions, intelligent systems attempt to design a path across a workspace that is both optimum and collision-free. When compared to motion planning, where dynamics must be taken into account, the primary goal of path planning is to discover the quickest and most efficient route while also accurately modeling the surrounding environment. In this paper, we make use of Swarm Intelligence for solving the problem of path planning in Intelligent Systems. Use of Roulette Wheel Selection algorithm is done to find the optimal path. The efficiency of the model is proved by making use of Swarm Intelligent algorithms. Comparative results are obtained for all the algorithms and it could be claimed that the Firefly algorithm performs better than the other algorithms for our proposed trajectory planning algorithm.
IMPROVING THE MOTIVATION AND LISTENING ABILITY OF ELEVENTH GRADE STUDENTS BY USING SMART APP CREATOR

The objective of this study was to find out and analyze the process of improving the motivation and listening ability of the eleventh grades students by using Smart App Creator in the Management Program at SMK Negeri 3 OKU Selatan. The method which used in this research is classroom action research where it took place in 3 cycles. The result of this study found that there was improvement of studentsâ€™ listening ability and motivation. The score of minimum completeness criteria of English lesson was 70. In listening test cycle 1 there were 10 students who pass the minimum completeness criteria or 33,3% of students. In listening test cycle 2 there were 18 students who pass the minimum completeness criteria or 60% of students and in listening test of cycle 3 there were 26 students who pass the minimum completeness criteria or 86% of students. There were improvement of students listening ability as 52.7% where from cycle 1 to cycle 2 gained improvement as 26,7% and from cycle 2 to cycle 3 gained improvement as 26%. The studentsâ€™ participation increased during the teaching learning process whereas it indicates the studentsâ€™ motivation had increased. Faqih, (2021) have researched about Smart App Creator as a learning media where he found that smart app creator effective to use as a learning media of poetry lesson and now the researcher found that smart app creator can use as a learning media to improve studentsâ€™ listening ability and motivation.
PyNET-Q×Q: An Efficient PyNET Variant for Q×Q Bayer Pattern Demosaicing in CMOS Image Sensors

Deep learning-based image signal processor (ISP) models for mobile cameras can generate high-quality images that rival those of professional DSLR cameras. However, their computational demands often make them unsuitable for mobile settings. Additionally, modern mobile cameras employ non-Bayer color filter arrays (CFA) such as Quad Bayer, Nona Bayer, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Q}\times \text{Q}$ </tex-math></inline-formula> Bayer to enhance image quality, yet most existing deep learning-based ISP (or demosaicing) models focus primarily on standard Bayer CFAs. In this study, we present PyNET- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Q}\times \text{Q}$ </tex-math></inline-formula> , a lightweight demosaicing model specifically designed for <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Q}\times \text{Q}$ </tex-math></inline-formula> Bayer CFA patterns, which is derived from the original PyNET. We also propose a knowledge distillation method called progressive distillation to train the reduced network more effectively. Consequently, PyNET- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Q}\times \text{Q}$ </tex-math></inline-formula> contains less than 2.5% of the parameters of the original PyNET while preserving its performance. Experiments using <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Q}\times \text{Q}$ </tex-math></inline-formula> images captured by a prototype <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Q}\times \text{Q}$ </tex-math></inline-formula> camera sensor show that PyNET- <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\text{Q}\times \text{Q}$ </tex-math></inline-formula> outperforms existing conventional algorithms in terms of texture and edge reconstruction, despite its significantly reduced parameter count. Code and partial datasets can be found at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/Minhyeok01/PyNET-QxQ</uri> .
Aplikasi Mobile Tes Kepribadian dengan Metode DISC dan Forward Chaining

Information technology plays a big role in various aspects. With technology, which can make it easier for humans to make decisions quickly and effectively. An expert system is an information system that contains knowledge from an expert in order to help with decision making. This system was designed with the theory of Dr. William Moulton Marston to find out his personality and work references. To find out a person, a personality test is carried out. The Personality Test uses a manual version through distributing questionnaires to find out people's dispositions. The evaluation is made a manual version through an answer sheet. Each person takes a lot of duration, this system is made using forward chaining. forward chaining begins the way inference begins with facts to verify the principle of an assumption. The way data is retrieved begins with assumptions until it is completed. The goal is to determine a person's disposition and propose a field of work for their personality. The app also uses Agile development, because the process of upgrading software requires a duration that tends to be fast and does not consume large resources, so modifications according to customer needs can be processed more agilely, and can use input to the development team to prepare methods. The existence of this application can help psychologists and users in the personality test process so that users do not have to come to see a psychologist and more efficiently carry out the personality test process carried out.
Socialization of Education about Early Marriage in Rural Communities

The socialization of education concerning early marriage in rural areas is the subject of this report. In many rural areas, girls are still getting married off at young ages, which has devastating effects on their futures as learners and on their health and safety. Community workshops, peer education programs, parental education, and media campaigns are all included in the report as viable socializing activities to encourage girls to continue their education and postpone marriage. Effective tactics, such as incorporating local leaders, partnering with schools and health centers, employing culturally relevant materials, monitoring and evaluation, are needed to put these efforts into action. To guarantee the success of these endeavors, however, it will be necessary to overcome obstacles including community opposition, scarce resources, and language and cultural divides. In order to enhance results for girls, families, and communities, the report emphasizes the necessity of a long-term commitment to supporting girls' education and delaying marriage.
A Corpus-based Study of Gaoxin Huang’s Poetry Translation Style

Though he himself is not a poet, Gaoxin Huang (1936-) has published a dozen of translated poetry collections. Huang has further developed the poetry translation strategy of “yidun daibu” (substituting pause for foot) on the basis of his predecessors and proposed quantitative standards of poetic meter and the “Emulation Method”. This study attempts to examine Huang’s poetry translation style with a corpus-based quantitative and qualitative study. For the study two corpora are constructed: a bilingual parallel corpus of 100 English poems with their Chinese translations and a monolingual comparable corpus of Chinese translations of 100 English poems and 280 original Chinese poems. Data on lexicon, syntax and phonology are collected from the two corpora to address the stylistic characteristics of Huang’s poetry translation at the lexical, syntactic and phonological levels. Huang’s translation employs a richer vocabulary than the original English poems, and the choice of words is more akin to the original Chinese poems. Huang does not replicate the original poem, but preserves the original poem’s harmony of structure, rhythm, and word count by substituting the Chinese pause for the English foot and making full use of the Chinese conjunctions.
Penerapan Internet of Things pada Greenhouse

Climate change has many causes, one of which is an increase in atmospheric temperature or commonly called global warming. As a result of global warming, the climate around plants can become unfavorable to support the growth of crop production. One of the agricultural sectors affected by global warming is the greenhouse. These problems can be solved by implementing the internet of things and the nRF24L01 communication module in the greenhouse. This system will provide information in the form of temperature sensor readings, soil moisture sensors, soil pH and light intensity that can be seen without having to come to the greenhouse because this tool will send the monitoring results using the nRF24L01 communication module. Greenhouse owners or farmers can monitor the condition of their plants through the android-based blynk application, so they can maximize their harvests. An analysis was carried out regarding plants that use the internet of things and those that do not use the internet of things for several days. The results obtained from this analysis are plants that use the internet of things have better results and are cheaper in terms of costs.