Correct Rules Research Articles

Makna Pendidikan dalam tradisi pembacaan Al-Qur’an tujuh surah pilihan di Pondok Pesantren Al-Munawwir Komplek Al-Fatimiyah Putri Krapyak Yogyakarta

This study aims to explore the meaning of education in the tradition of reading seven selected surahs of the Al-Qur'an at the Al-Munawwir Islamic Boarding School, Al-Fatimiyah Putri Krapyak Complex, Yogyakarta, which serves as a medium for learning to read and memorize the Al-Qur'an. This tradition functions not only as a spiritual avenue but also as an effective teaching method for students to master reading and memorizing the Al-Qur'an correctly. The research employs a qualitative descriptive method with an ethnographic approach. Data collection was conducted using three techniques: observation, interviews, and documentation. Data analysis utilized a descriptive-explanatory approach, where the researcher provides an in-depth description of an object, phenomenon, or concept while explaining how it works and the reasons behind it. The findings indicate that this activity significantly enhances students' abilities to read and memorize the Al-Qur'an, particularly the seven selected surahs, while teaching the correct reading rules, including makharijul huruf and tajwid. Additionally, this tradition plays a role in shaping the character and discipline of the students, despite challenges in understanding the meaning and purpose of the activities. Based on the research findings, it can be concluded that the tradition of reading the seven selected surahs of the Al-Qur'an at the Al-Munawwir Islamic Boarding School, Al-Fatimiyah Krapyak Yogyakarta, is a highly effective educational medium, supporting the spiritual and academic development of the students and imparting beneficial moral values in their daily lives.

Threshold-optimized and features-fused semi-supervised domain adaptation method for rotating machinery fault diagnosis

In the field of intelligent fault diagnosis, domain adaptation (DA) technology achieves significant breakthroughs, particularly in reducing reliance on large volumes of labeled samples. Despite these advancements, challenges persist when unlabeled data do not accurately represent actual application scenarios. Additionally, the impact of pseudo-labels on conditional domain adaptation raises concerns. To overcome the above challenges, a novel DA approach based on chaos sparrow search algorithm (CSSOA) optimized threshold parameters and feature fusion deep belief network (DBN) is proposed, named CSS-DADBN. Firstly, this method, by integrating pseudo-label updating with semi-supervised domain adaptation (SSDA) and employing confidence and entropy threshold parameters as corrective rules for pseudo-label filtering, along with the introduction of iterative conditions as an additional selection criterion, effectively alleviates the aforementioned issues. Furthermore, combining the feature extraction capabilities of DBN with a domain feature fusion strategy significantly enhances cross-domain feature learning, thereby substantially improving diagnostic accuracy. Ultimately, to validate the effectiveness and practicality of the CSS-DADBN method, a series of experiments conducted on the PT700 and Case Western Reserve University (CWRU) rolling bearing test platform clearly demonstrate its utility and efficiency in intelligent fault diagnosis.

Slip identification from HR-DIC/EBSD: Incorporating Crystal Plasticity constitutive laws

It is well known that dislocation slip plays a major role in plastic deformation of polycrystals. Depending on the crystal’s symmetry, only a limited number of Slip Systems (SSs) are possible, and their activities depend on the crystal orientation with respect to the applied stress. High Resolution Digital Image Correlation (HR-DIC) can be used to get the full-field measurements of displacement fields on the surface of the strained material during an in situ tensile test, whereas the EBSD technique provides local crystallographic orientations. Therefore, coupling them can lead to full description of the local slip activities. Recently, an algorithm (named SSLIP) was proposed in the literature to automatically estimate the plastic activity from HR-DIC and EBSD data. The aim of the present paper is first to improve this algorithm so that it works for incremental straining, and to propose a way to take account for the anisotropic behaviour through a well-known set of Crystal Plasticity (CP) constitutive laws. It is shown that slip identification, together with those CP laws, can be used to estimate the tensile stress at grain scale. The influence of the DIC resolution is investigated and “correction rules” for small grains are proposed. Finally, the experimental results are compared against those found using the CP Finite Element Method (CPFEM), showing good consistency, specially in terms of active SSs and local stress.

IT Data-Driven and AI Intercompany Services in Multinational Banks: The Border in Their Regulation between Low Value-Adding and High-Value Services

The banking industry is undergoing a momentous transformation and by 2030, it is estimated that banks worldwide will spend around USD 85 billion on generative AI programs and services. This transformation brings with it uncertainty in applying the correct transfer pricing rules to different service providers in compliance with the arm’s length principle.

Kualitas Isi dan Kalimat Efektif pada Teks Berita di Website Detikjabar Edisi Februari 2024 sebagai Bahan Bacaan dan Sumber Informasi bagi Mahasiswa

Ineffective sentences are sentences that have several words that are difficult to understand. This research is motivated by the writers in the preparation of sentences in news texts that are not in accordance with linguistic rules. This research aims to identify the use of effective sentences in online news texts, with a focus on the article "It's Time to Clean up APKs in Bandung City" found on the February 2024 Edition of the Detikjabar Website. This analysis aims to analyze ineffective sentences in the article and produce more effective sentences, in accordance with linguistic rules. The research method used is a qualitative descriptive approach, with a syntactic theoretical approach. The results showed several ineffective sentences found in the news text, such as the use of less formal words and typos. The sentence improvements offered aim to improve clarity and conformity with correct linguistic rules. It is hoped that this knowledge can help readers understand the importance of effective sentences in news texts and avoid language errors in writing. The benefits of this analysis include a better understanding of the correct use of language in the context of online news, both in academic and non-academic activities.

Analisis Kualitas Bahasa pada Teks Berita di Website Koran Tempo Edisi Februari 2024 sebagai Kelayakan Bahan Ajar Membaca Kritis bagi Mahasiswa

Currently, there are many platforms used by writers to publish news, one of which is through mass media. In publishing news, a writer must pay attention to good and correct language quality in order to meet the requirements of linguistic quality. Thus, there needs to be more understanding from a writer in order to write spelling correctly and correctly according to writing guidelines. The purpose of this research is to check the correctness of news text writing has fulfilled the rules of good and correct language and in accordance with the user situation in a mass media. If a mass media does not present news text writing using good and correct language rules, its competence needs to be doubted. The approach used in this research is a syntactic approach using a qualitative descriptive method. This method is used to investigate and explain things related to a reality that occurs in the surrounding environment. The results of the analysis and discussion of the research prove that in the news text on the February 2024 edition of Koran Tempo website there are still errors in word writing, errors in the use of punctuation marks, and errors in the use of letters. The quality of language in the news text is classified as good if it meets the requirements of no errors in writing words, punctuation, letters, and spelling. With this research, it is hoped that it can increase knowledge about language and can improve the ability to read news texts, analyze language quality, and provide guidance to writers to pay attention to linguistic rules or use standard language in writing so that it is easily understood by the public.

Analysis Of The Ability To Read The Al-Qur'an Based On The Asy-Syafi'i Method According To Tajwid Science On The Al-Qur'an Hadith Subject Of Class V Students In Madrasah Ibtidaiyah Muhammadiyah Aursati Kampar District

The lives of future generations are certainly inseparable from the lives of today's children. Therefore, children should not only be seen as passive creatures who receive it, but also as active creatures who are full of spontaneity for the future. One of the fundamental problems of Muslims today is the percentage of young Muslims who are unable to read the Koran. The results of observations on class V MIM Aursati students show that there are problems in reading the Al-Qur'an, namely students are not able to read the Al-Qur'an, cannot distinguish between long and short verses in the Al-Qur'an, and are not yet fluent in using the science of recitation. . The aim of this study is to determine the ability to read the Al-Qur'an based on the AshShafi'I method according to Tajwid Science in the Al-Qur'an Hadith subject of class V students at MIM Aursati, Kampar Regency. This research uses a qualitative descriptive method. This study uses primary data obtained directly from MIM Aursati, while secondary data consists of documents, scientific articles and relevant books. Data was collected through observation, interviews and documentation studies. Next, the data is analyzed based on data reduction, data display, and drawing conclusions. The findings of the study show that the Asy-Shafi'i method in learning to read the Al-Qur'an was chosen because it is a method that prioritizes the careful application of tajwid knowledge, as well as helping class students understand and read the Al-Qur'an well according to the correct tajwid rules. . MIM Aursati's fifth grade students already have a fairly good understanding of the science of recitation. The results of the tests carried out showed that 5 students had the ability to read the Al-Qur'an well and correctly, 4 students were moderate, and 9 students did not have the ability to read the Al-Qur'an well.

IEmu: Interrupt modeling from the logic hidden in the firmware

The security of embedded firmware has become a critical issue in light of the rapid development of the Internet of Things. Current security analysis approaches, such as dynamic analysis, still face bottlenecks and difficulties due to the wide variety of devices and systems. Recent dynamic analysis approaches for embedded firmware have attempted to provide a general solution but heavily rely on detailed device manuals. Meanwhile, approaches that do not rely on manuals have randomness in interrupt triggering, which weakens emulation fidelity and dynamic analysis efficiency. In this paper, we propose a redundant-check-based embedded firmware interrupt modeling and security analysis method that does not rely on commercial manuals. This method involves reverse engineering the control flow of firmware binary and accurately extracting the correct interrupt triggering rules to emulate embedded firmware. We have implemented functional prototypes on QEMU, called IEmu, and evaluated it with 26 firmware in different MCUs. Our results demonstrate significant advantages compared to the recent state-of-the-art approach. On average, IEmu has improved interrupt path exploration efficiency by 2.4 times and fuzz testing coverage by 19%. IEmu restored the interrupt triggering logic in the manual, and emulated three firmware where the state-of-the-art emulator have limitations and found vulnerabilities.

Analysis Of Calligraphy Skills of College Students Department Of Arabic Language Education Faculty Of Tarbiyah and Teacher Science North Sumatra State Islamic University

Learning calligraphy is an implementation of ability and potential and proficiency in writing Arabic. However, calligraphy writing does not only write about the art of beauty in Arabic, but there are other views, namely cognitive, affective and psychomotor. This study aims to describe the abilities and skills of students in writing calligraphy as well as the correct rules in writing Arabic khat. This research is a qualitative descriptive study. The subjects of this study were students of the North Sumatra State Islamic University (UINSU) Arabic language education-1 (stamp 2022), while the object of this research was in the form of material objects and objects from the results of their studies. The research focused on problems related to the level of difficulty and ease of writing Arabic khat (calligraphy). This data was obtained by means of structured interviews, namely literature studies and research documentation. Then the results of this study are: calligraphy writing in a psychomotor way, which means students' skills in writing calligraphy and calligraphy writing in a cognitive way is related to student intelligence and calligraphy writing ideas are based on affective, namely emotional, character and morals.

Natural Language Processing of Grammar Checker Tools for Academic Writing: A Systematic Literature Review

Grammar correction is crucial for essential documents such as research, business articles, formal papers, but with language evolving every century, some rules for grammar correction are added or changed. There have been created grammar correction online, which has helped most students create academic writing. Some tools focus on correcting the paper by following specific rules; some run an algorithm based on what type of document you are writing. In this paper, we reviewed documents published from 2017 up to 2021 related to grammar correction and Grammar error detection, with numerous Natural Language Processing and models provided by past researchers, which may aid this paper towards a solution on creating a grammar correction tool.

خوارزمية فصيلة ميركات المعدلة لتعدين القواعد الرابطة

تشكل قواعد جمعيات التعدين (ARM) إحدى تقنيات التنقيب عن البيانات المهمة. أصبحت الأساليب الكلاسيكية التي عمل عليها الباحثون سابقًا غير فعالة للتعامل مع النمو المطرد لقواعد البيانات ، مما دفعنا إلى استخدام عملية التعدين لقواعد الارتباط القائمة على ميتاهيورستك، وفي عملنا سنستخرج جميع القواعد الصحيحة ، و التعدين لا يقتصر على القواعد عالية الجودة. ذكاء السرب يعتبر إحدى هذه الأساليب المعتمدة. في هذه الورقة، تم اقتراح تعديل فصيلة ميركات لتعدين قواعد الجمعية (MCC-ARM). تعتمد الخوارزمية المقترحة بشكل أساسي على خوارزمية فصيلة ميركات (MCA). أكبر فائدة هي تنوع الحلول المرشحة في MCA. سنقوم في عملنا بتمثيل القاعدة باستخدام طريقتين مستعارتين من الخوارزمية الجينية، في المجموعة الأولى، تشير كل مجموعة من القواعد إلى كائن في المجتمع و التي تدعى طريقة بيتسبرغ، بينما تشير القاعدة الثانية إلى كائن في المجتمع و التي تدعى طريقة ميشيغان. تهدف الخوارزمية المقترحة إلى فحص أكبر عدد ممكن من قواعد الارتباط الصحيحة. ما يسمى بخوارزمية تتبع نهج تحديد منطقة البحث الفعالة، والتي تعتمد على آلية عشوائية رئيسية لقيادة الخوارزمية في استخراج القواعد البديلة وتجنب الحلول الكلية من الاسترشاد بنفس القاعدة، وهذا أدى إلى قدر كبير من التنوع. بالإضافة إلى ذلك، يستخدم MCC-ARM طريقة التكثيف في عملية البحث المتجاورة لمنع الخوارزمية من الوقوع في الوضع المحلي. لإثبات كفاءتها، سنطبقها في أربع مجموعات بيانات موثوقة (مثل حديقة الحيوان، والائتمان الألماني، والورم الأساسي والشطرنج). لقد حصل التحسين الذي أحدثته الخوارزمية المقترحة على عاملين حاسمين ، وهما عدد القواعد الصحيحة وقيمة لياقة الجودة.

THE IMPORTANCE OF USING ENGLISH GRAMMAR FOR TOURIST GUIDES A STUDY OF A SAMPLE OF GRADUATES OF THE DEPARTMENT OF RELIGIOUS TOURISM AT AHL AL-BAYT UNIVERSITY IN KARBALA GOVERNORATE

Mastering the English language and its correct rules is necessary for tour guides and a gateway to enhanced communication with tourists. The importance of this research lies in the accurate use of vocabulary, which is critical to achieving the goal of a clear explanation. Understanding grammar is crucial in all languages, mainly administrative and commercial communications. For instance, a sentence's meaning can vary drastically without proper grammar, as seen in the 'go' and 'gen' examples. This research aims to equip tour guides with the necessary language skills to serve their English-speaking tourists better.

“Calling a Black person betún [black shoe polish] is out of love”: questioning the school’s Racial Grammar

ABSTRACT This is a qualitative case study about the Racial Grammar (RG) in a School in Cali, Colombia. We critically interrogate the naturalized elements of the school racial system and show how they are organized, combined, and normalized as the daily standards of school functioning. Data about the school was collected in different spaces: aisles, classrooms, gym, library, offices, and playground. Drawing on black critical theories, we examine how the school’s racial grammar establishes the rules for correctness and for who can(not) speak on racial matters, and how students and staff respond to those shallow and profound racial structures. Findings suggest that the RG’s logic and profound structure are materialized through language, re-produced in social interactions, but also questioned for re-signifying identities. This RG shapes curriculum, instruction, and therefore Black students’ experiences in the school system.

Speech recognition sensors and artificial intelligence automatic evaluation application in English oral correction system

In China, although many college students have achieved good results in English exams, their oral proficiency is relatively weak. With the rapid development of internet information technology, the use of speech recognition technology to improve English oral pronunciation learning has become a research hotspot. The goal of this article is to design a system based on speech recognition and speech synthesis to help learners improve their oral pronunciation. By automatically evaluating learners' pronunciation accuracy and providing targeted correction and training, the system aims to improve learners' pronunciation level. This article adopts the principles and algorithms of speech recognition and speech synthesis. Through speech recognition technology, the system can convert learners' oral recordings into text and evaluate accuracy. By utilizing speech synthesis technology, the system can generate corrected audio based on correction rules to assist learners in pronunciation training. By evaluating and correcting real learners' oral recordings, the system can accurately evaluate learners' pronunciation accuracy and generate targeted corrected audio. Through systematic training and practice, learners' pronunciation level has been effectively improved.

Polish Logicians on Social Functions of Logic

ABSTRACT The paper examines the interplays between logic and politics in the Polish School of Logic starting from 1914. The Polish School of Logic flourished between 1920 and 1939. Philosophically, it was influenced by Kazimierz Twardowski (1866–1938). For Twardowski logic is fundamental for every kind of human activity, professional and private and this means that every argument should be formulated and proceed by correct inferential rules. These rules involve semiotics, formal logic and methodology of science. The paper shows how this position was shared by Twardowski’s students, including Jan Łukasiewicz, Stanisław Leśniewski, Kazimierz Ajdukiewicz and Tadeusz Kotrabiński, as well as by the next generation of logicians and philosophers and especially by Alfred Tarski. These authors considered logic, philosophy and science as completely neutral with respect to politics and ideology but they also considered logical skills as indispensable in political activities.

ANALISIS MATERI PERAN WALISANGA DI INDONESIA DALAM BUKU SEJARAH KEBUDAYAAN ISLAM KELAS XII MADRASAH ALIYAH

Material analysis in textbooks needs to be done to provide input as revision material for books that are published later and become a consideration for teachers so that in carrying out learning to be more creative and innovative. Therefore, the authors conducted research on the feasibility analysis of Walisanga's role in Indonesia in the Islamic Cultural History textbook published by the Ministry of Religion in 2020. This research includes qualitative research with a literature study method. The results of the study show that the material for Walisanga's role in Indonesia is in accordance with core competencies, basic competencies, and learning objectives. Presentation of material and language feasibility is good. As well as the material is in accordance with the development of Madrasah Aliyah students. However, weaknesses were found, namely the material was felt to be incomplete, the lack of illustrations as supporting aspects of the presentation and there were several writings that were not in accordance with the correct Indonesian language rules. So that the material on Walisanga's role in Indonesia in this book needs to be improved. Quality subject matter will support the achievement of optimal learning objectives.

Automatic extraction of flat sketch design element from clothing images using artificial intelligence

This study aims to develop a process that automatically extracts various flat sketch elements in vector format from clothing images. The approach of this study is to combine state-of-the-art image processing algorithms with the new algorithm devised in this study. First, a convolutional neural network based edge detection model trained with specially prepared fashion image data set was used to convert clothing images into edge maps. Then, a recurrent neural network based vectorization model and a rule-based image correction algorithm were used to convert the edge map into a vector image. Finally, a graph search algorithm was used to extract closed shapes from the vector image. As a result, the accuracy of edge extraction model has been improved by training with the special fashion image data set. The image correction rule was able to refine the vector images generated by the vectorization model. The graph algorithm was able to extract closed shapes from the vector image. This study is the first study to extract vector style flat sketch elements from clothing images using artificial intelligence and conventional computational geometry.

PENGGUNAAN KONSEP AKRONIM DALAM MENINGKATKAN KEUPAYAAN PELAJAR MENGIRA SISTEM BEKALAN AIR SEJUK: SATU KAJIAN TINDAKAN

The Outcome Based Education (OBE) system is now widely practiced in higher education institutions. It is a method in which teaching is focused on what students can do after they are taught. This includes the delivery of the Plumbing Services course (DCB20053) at Politeknik Kuching Sarawak for the Diploma in Building Services Engineering (DPB) program which requires them to determine the size of pipes they will install on buildings in one of their syllabuses. Students found it difficult to remember the calculation steps and confused to use the calculation tables contained in the syllabus. The development of the acronym concept in the calculation of cold-water supply systems seeks to improve students ' memory and be able to apply the correct calculations and rules while doing so. This concept is designed to improve student achievement in continuous assessment, the final examination will be able to distinguish student achievement before and after the acronym application is done. The samples taken were students who were in semester 2, namely DPB2A class at Politeknik Kuching Sarawak. The study period carried out is throughout 2023 where we see student achievement in two study sessions, Session 1: 2022/2023 and Session 2: 2022/2023. The results of the study found that the increase in students in Test 1 evaluation of more than 50% was 12 people. While the average increase in scores for Test 1 has increased by 2.29. For Session 1: 2022/2023 the highest score obtained in Test 1 is 16/20 while for Session 2: 2022/2023 the highest score obtained is 20/20.

Pembiasaan Membaca Teks Arab Gundul dengan Kitab Al Nahwu Al Wāḍih di Pondok Pesantren Manbaul Husna Kabupaten Banyumas Jawa Tengah

The background to this community service is the lack of time to study “Arab Gundul” texts at the Manbaul Husna Islamic Boarding School in Purwokerto, even though Arabic language skills are one of the main abilities of a santri. The aim of this community service is to optimize Arabic language learning by accustoming students to reading b”Arab Gundul” texts with the book al nahwu al wadhih. Arabic language learning in Islamic boarding schools can generally be carried out well because the material is delivered through theory and practice. However, in the context of student Islamic boarding schools, Arabic language practice is less than optimal because the students' study time is limited. In this context, the habit of reading “Arab Gundul” texts is useful for optimizing students' Arabic language skills because by reading “Arab Gundul” texts, students learn mufradat, nahwu, nerve, as well as tarjamah. The result of this community service activity was the implementation of the reading habitual activity of “Arab Gundul” texts with the book al nahwu al wadhih for the students of the Manbaul Husna Islamic Boarding School, Purwokerto, for eight meetings. Meanwhile, the findings obtained were an increase in students' skills in reading Arabic texts using the correct nahwu rules.

Integrating systems of systems with a federation of rule engines

Systems of Systems (SoSs) integrate many critical systems our society relies on. In designing individual systems, stakeholders use bespoke protocols, custom information models, and proprietary components with limited computational resources from various vendors. We present a reference architecture that allows multiple stakeholders to carry out a flexible integration without giving up control to a single entity in the presence of the aforementioned limitations. Our architecture relies on rule engines and graph data model to integrated systems flexibly even when black-box components are used. At the same time, a federation of the rule engines allows each stakeholder to retain control over the rules that reflect their policies. We also rely on a common information model based on ontologies to account for the information model mismatch and reduce the duplication of integration efforts. Moving rule execution to the standalone rule engines allows deployment in resource-constrained and proprietary environments. A uniform application programming interface (API) is used to integrate rule engines across systems as well as components within each system with a respective rule engine. We also present a novel algorithm to determine dependencies across rules deployed in different rule engines within the federation. This allows domain experts to develop rules as usual without having to deal with the distributed aspect of the system. We also present a proof of the sufficient condition to ensure all necessary notifications will be sent to ensure correct rule activation across different rule engines. Compared to other systems involving distributed rules, the proposed architecture is well-suited for the integration of transactional workloads commonly found in enterprises. The qualitative evaluation based on the Architecture Tradeoff Analysis Method (ATAM), applied to a telecommunications use case, shows that the architecture possesses the “interoperability”, “modifiability”, and the “functional completeness” quality attributes with a trade-off around rule expressiveness. The quantitative evaluation demonstrates speedup over the single-node setup in most scenarios except in case of highly optimized rules and a poor network performance simultaneously (tr<10ms, tn=100ms).