bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simple Link-Budget Estimation Formulas for Channels Including Anomalous Reflectors
Authors: Kosulnikov Sergei , Francisco Cuesta Soto , Wang Xuchen , Tretyakov Sergei 
Published: December 2022

<p>Reconfigurable intelligent surfaces (RIS) are a promising tool for optimization of propagation channels for advanced wireless communication systems. These tools are especially relevant for high-frequency (millimeter-band) links where directive antennas are used. RIS panels act as high-gain passive repeaters, whose reflected waves interfere with the waves reflected from the illuminated spots at supporting walls, creating a complex field pattern in the far zone. In this work, we develop a simple link-budget model for non-line-of-sight channels via reflections from a finite size metasurface designed as a perfect anomalous reflector. The developed model takes into account diffraction at the RIS panel edges as well as interference with reflections from supporting structures. We take into account realistic losses and confirm the validity of results by numerical simulations.</p>
On the Performance Analysis of Full-Duplex Cell-Free Massive MIMO with User Mobility and Imperfect CSI
Authors: Kurma Sravani , Singh Keshav , Sharma Prabhat Kumar , Li Chih-Peng , Tsiftsis Theodoros A. 
Published: December 2022

<p>One of the candidate technologies for sixth-generation (6G) wireless communication systems is cell-free massive multiple-input multiple-output (CF-mMIMO) communication, which can control inter-cell interference in MIMO systems. This paper investigates the performance of a full-duplex (FD) CF-mMIMO system with practical limited-capacity fronthaul links. The proposed system employs a large number $M$ distributed FD access points (APs), arbitrarily distributed $K_d$ downlink (DL) and $K_u$ uplink (UL) half-duplex (HD) single-antenna user equipments (UEs), and a central processing unit (CPU). To exploit energy efficiency (EE) and potential throughput gains of FD systems, each AP is linked to the CPU by a fronthaul link with limited capacity that handles the quantized UL/DL data to and from the CPU. On the same spectrum resource, each AP is expected to support $K$ single-antenna HD UEs, where $K = (K_u + K_d)$. Despite having a minimal signal processing complexity, our approach offers a uniform quality of service (QoS) to all UEs while providing improved spectrum efficiency and EE. Imperfect channel state information and mobility of the UEs are also considered. Closed-form expression for the outage probability is derived using the optimal uniform quantization and maximum-ratio combining/maximum-ratio transmission considering the Welch-Satterthwaite approximation. Additionally, the asymptotic and infinite-$M$ outage performance of the proposed system are analytically studied and verified via Monte-Carlo simulation.</p>
A Review of AIoT-based Edge Devices and Lightweight Deployment
Authors: Sun Kailai , Wang Xinwei , Zhao Qianchuan 
Published: December 2022

<p>Artificial Intelligence of Things (AIoT) which integrates artificial intelligence (AI) and the Internet of Things (IoT), has attracted increasing attention recently. With the remarkable development of AI, deep neural networks (DNNs) have achieved great success from research to deployment in many applications. However, deploying complex and state-of-the-art (SOTA) AI models on edge applications is increasingly a big challenge. This paper focuses on the convergence of AIoT-based edge devices, lightweight DNNs, and neural network compression. We provide a comprehensive analysis of them and many practical suggestions for researchers: how to obtain/design lightweight DNNs, how to select suitable AI edge devices, and how to compress and deploy them in practice. Finally, future trends and opportunities are presented, including trustworthy AI, federated learning, and robust deployment. </p>
GND-RI: A Normalized Difference Form More Suitable for Remote Sensing Applications
Authors: zou linxin , Wei Bo 
Published: December 2022

<p>The normalized difference index (NDI) originates from NDVI, which has been widely used in remote sensing applications and to guide the development of NDI in other fields due to its excellent performance; however, injective mapping from the original bands to NDI leads to information loss in land cover classification. When NDI is represented as a simple form, it is, furthermore, prone to premature saturation in specific change detection and variable inversion tasks. In this study, we first propose the radius index (RI), a new index to represent illumination variations by using the missing band information from NDI. Based on RI, we develop a generalized NDI (GND) by adding four positive scaling coefficients to NDI foundation, and the value range and sensitivity of GND are adjusted by these four coefficients, which are derived from the statistical information of the study area. The derivation of these four coefficients is, moreover, reversible, making it possible to interpret the applicable range of the derived set of coefficients. Our experiments demonstrate that: 1) GND is more effective in terms of improving saturation than the traditional indices and 2) mapping the original bands to GND-RI (GND combined with RI) can guide classifiers to learn more generalized features based on spectral information and thus achieve higher classification accuracy both in machine learning and the latest deep learning semantic segmentation models. The data and code for the article can be found at https://github.com/Zoulinx/GND . </p>
Image Classification using Different Machine Learning Techniques
Authors: Alaba Simegnew 
Published: December 2022

<p>Artificial Neural Networks and Convolutional Neural Networks have become common tools for classification and object detection, owing to their ability to learn features without prior knowledge. During training, these networks learn the parameters, weights, and biases. This paper proposes a simple Neural Network and Convolutional Neural Network (CNN) for a classification task. Furthermore, the Bayesian neural network work is reproduced as a baseline for comparing my proposed networks. All experiments were conducted using the MNIST dataset.</p>
<p>While the simple neural networks and the convolutional networks adjust their parameters based on the cost function during training, the Bayesian convolutional neural network updates its parameters based on the backdrop that drives a variational approximation to the true posterior. Hyperparameters such as optimizer, learning rate, regularizers, dropout, epochs, etc., were varied to train the two proposed networks. The proposed networks achieved better classification accuracy, approximately 99\%, than the previously implemented Bayesian convolutional neural network. However, it is difficult to predict the certainty of the predictions made by my proposed networks, unlike Bayesian learning, which makes it easy to do so. \href{https://github.com/Simeon340703/Classification_Networks}{You can find the code for this work at}.</p>
Image Classification using Different Machine Learning Techniques
Authors: Alaba Simegnew 
Published: December 2022

<p>Artificial Neural Networks and Convolutional Neural Networks are becoming common tools for classification and object detection tasks due to their power to learn features without prior knowledge. The networks learn the parameters, weights, and biases through training. This paper proposes a simple Neural Network and Convolutional Neural Network (CNN) to do a classification task. Additionally, the Bayesian neural network work is reproduced to compare the result to my proposed networks and used as a baseline for comparison. The MNIST dataset is used for all experiments. </p>
<p>The simple neural networks and the convolutional networks adjust the parameters based on the cost function during training, whereas the Bayesian convolutional neural network updates the parameters based on the backdrop that drives a variational approximation to the true posterior. I trained the two proposed networks by varying the hyperparameters: optimizer, learning rate, regularizers, dropout, epochs, and others. My proposed work gives better classification accuracy, approximately 99 \%, than the previously implemented Bayesian convolutional neural network, but it is difficult to predict how certain the prediction is, which is easy for Bayesian learning. </p>
ORB-LINE-SLAM: An Open-Source Stereo Visual SLAM System with Point and Line Features
Authors: Alamanos Ioannis , Tzafestas Costas 
Published: December 2022

<p>This paper presents ORB-LINE-SLAM, a real-time hybrid point-line and only-line based visual SLAM system for stereo cameras which can operate in standard CPUs. This work is based on the ORB-SLAM3 open-source library, which is here expanded and adapted to further cope with line features. The main contribution of this paper concerns the introduction of an adaptation scheme, based on an experimentally tuned adapting factor, which aims to achieve a more efficient fusion of point and line features during the SLAM process. Furthermore, to the best of our knowledge, this work constitutes the first open-source visual SLAM system that has the ability to perform effectively by using exclusively line features. This paper also performs a systematic comparison of different error functions used in the bundle adjustment process, to deduce which ones are the more efficient for the visual SLAM problem. The experimental results obtained indicate that the proposed point-line method significantly improves the accuracy of ORB-SLAM3 in challenging conditions. Furthermore, the only-line method implemented in this work, despite its simplified nature, also manages to work in a standalone mode and to successfully complete even difficult sequences with remarkable precision. </p>
Depression sentiment analysis based on social media content like Twitter
Authors: Kanani Rutvij , Fiaidhi Jinan , Patel Vardhil 
Published: December 2022

<p>Everyone may now readily communicate and share their sentiments with individuals around the world thanks to the various social networking platforms. In the current scenario, some people are more extroverted on social media than others around them. In the end, whenever they get into trouble or any situation where they need other people’s help who gives them motivation or who cares, they would not be there because that time sufferer prefers to express their feeling on social media rather than any close once. Therefore, if they are warned in advance, there are some strategies that reduce the stress and mental health issues that they are experiencing. Due to rising these issues globally, attract many researchers to focus on the subject and provide some viable solutions, where there is still a need for more research that provides some efficient results. So finally, we built a project in which it takes users’ tweets as input, and it will give the result in the form of depression or not using the help of a machine learning algorithm. For the segmentation of tweets, we are using LSTM (Long Short-Term Memory) machine learning algorithm which is best suited for this task. Not only this but LSTM performs best out of available machine learning algorithms. All the emotions are identified as neutral, positive, or negative which assists to provide a solution toward sentiments. Apart from this, we are not focusing on only the English language but we will try to counter this issue in different languages by translating other languages into English, which other researchers have missed out on in their research. With the help of these results, the company will take different steps to mitigate the stress from those users by providing motivational feeds in their feed section or any other way. </p>
ممارسات الموارد البشرية في تعزيز السلوك الابداعي للعاملين دراسة تحليلية لآراء عينة من أعضاء الهيئة التدريسية في الكليات الاهلية/ محافظة بابل
Authors: راضي جواد , جبار اسامة 
Published: December 2022

يهدف البحث الى اختبار دور مرونة الموارد البشرية المتمثلة بـ (مرونة المهارات, ومرونة السلوك, ومرونة ممارسات الموارد البشرية) في تعزيز السلوك الابداعي بأبعاده المتمثلة بـ (استكشاف الفرصة, وتوليد الفكرة, والترويج للفكرة, وتنفيذ الفكرة)، اعتمد الباحثان على المنهج الوصفي الاحصائي وباستخدام الاستبانة من اجل قياس مستوى توافر متغيرات البحث لدى عينة من اعضاء الهيئة التدريسية في الكليات الاهلية/ محافظة بابل, اذ تم توزيع (250) استمارة استبيان واسترجع منها (232) استمارة صالح للتحليل, واستخدم الباحث مجموعة من الادوات الاحصائية والتي تمثلت بـ (التوزيع الطبيعي, ومعادلة النمذجة الهيكلية, والوسط الحسابي, والانحراف المعياري, ومعامل ارتباط بيرسون, ومعامل الانحدار) وتم استخراج النتائج بواسطة برنامج (AMOS.V.23), وقد اظهرت نتائج البحث ان هنالك علاقة ارتباط وتأثير معنوية لمرونة الموارد البشرية في تعزيز السلوك الابداعي, ولعل اهم النتائج التي توصل اليها البحث تمثلت في توافر متغير مرونة الموارد البشرية بدرجة مرتفعة من الاهمية حسب اجابات افراد العينة مما يدل على ان الجامعات والكليات الاهلية تهتم بمرونة الموارد البشرية بدرجة عالية، وهذا يشير الى اهمية عوامل التكيف والاستجابة التي يمتلكها المنتسبين في هذه الكليات وامكانية تعزيزها من خلال عوامل التعلم والتطوير واكتساب مهارات اضافية على مستوى ممارسة الانشطة الادارية والفنية والتدريسية.
القراءات القرآنية في كتاب الطراز الأول لابن معصوم المدني المتوفى (1120هـ)
Authors: الفتلاوي محمد , عبد طلاب احمد 
Published: December 2022

إنَّ فحوى البحث في هذه الدراسة هو أصل القراءات القرآنية في كتاب الطراز الأول للسيد ابن معصوم المدني ، حيثُ يتم ذلك من خلال تتبع الآيات التي تطرق لها المصنف في كتابه والمحتوية على مختلف القراءات, يتم إجراء البحث بطريقة علمية موثوقة ، لذا فإن هدف الباحث هو تحديد وتحليل كل موضوع. ومراعاة قول ابن معصوم وتزويد الباحثين بجميع الآراء ذات الصلة.
فقد اشتملَ البحث على تمهيدٍ ومطلبين تسبقهما مقدمةٌ وتليهما خاتمةٌ بأهمِ النتائج وكما يأتي: التمهيدُ كانَ بعنوان (القراءات بالمعنى اللغوي والاصطلاحي).
والمطلب الأول كان بعنوان (آراء العلماء في تواتر القراءات) وتطرقنا الى آراء العلماء الشيعة الامامية وكذلك مدرسة الصحابة ومن ثم الترجيح بين الآراء بالاعتماد على الأدلة المرجحة لا بطريقة الميل والتعصب للمذهب.
وفيما يخص المطلب الثاني (القراءات القرآنية في كتاب الطراز الأول), وقد تطرقنا فيه إلى الأدلة القرآنية الموجودة في كتاب ابن معصوم ، وهذا المطلب هو جل اهتمام بحثنا ومركز دراستنا لتحقيق النتائج المرجوة.
الأخبار العلاجية وأثرها في رفع التعارض بين الأدلّة
Authors: السراج عباس 
Published: December 2022

شكّلت السنّة المطهّرة المَعلم الأساس و الأبرز في استفادة الفقيه منها في استنباط الأحكام الشرعية ، و لا غرو أن تتبلى الأخبار الحاكية عنها بالتعارض فيما بينها ، استدعت المشرّع أن يتصدّى لبيان علاج هذه الحالات ، فكانت " الأخبار العلاجية " المرتكز و الملجئ لرفع هذا التنافي الحاصل بينها ، و التي بدورها تنقسم إلى طوائفٍ عدّة ٍ أهمّها أخبار الترجيح ، سواء بموافقة الكتاب العزيز أم بمخالفة العامّة و نحوهما . فكان البحث مشتملاً على مبحثين ، تضمّن الأوّل الحديث عن روايات التخيير ، و مناقشتها ، و هذا تناولته في في المقصد الأوّل ، و أمّا أخبار التوقّف ، و مفادها فأرجئت الكلام فيه إلى المقصد الثاني . و أمّا الأخبار الدالّة على وجوب ترجيح الحديث المشتمل على مزيّة على الفاقد لها فذكرتها في المبحث الثاني .
و خلّص البحث إلى نتائج أبرزها أنَّ الأقرب اقتصار المرجّحات على خصوص موافقة الكتاب و مخالفة العامّة " أخباراً و فتاوى " ، مع مراعاة الترتّب الطولي فيما بينهما .
IDENTIFICATION OF THE MOST PRODUCTIVE WAYS TO NEUTRALIZE DISCRIMINATORY LABELED LEXICAL UNITS IN ACCORDANCE WITH THE PRINCIPLE OF POLITICAL CORRECTNESS IN MEDIA DISCOURSE
Authors: Мельникова К.А. , Чекунова Е.М. 
Published: December 2022

Постановка задачи. Задача исследования состоит в определении наиболее продуктивного инструмента нейтрализации дискриминационно-маркированных лексических единиц в соответствии с принципом политкорректности в медиадискурсивных источниках. Лингвопрагматика нейтрализованных дискриминационно-маркированных лексических единиц позволяет устранить или смягчить дискриминирующий эффект речи адресантов и значительно повышает шансы на осуществление успешной коммуникации. Результаты. Материал исследования представлен англоязычными медиатекстами, размещенными в открытом доступе в сети Интернет. Данные медиатексты были проанализированы посредством критического дискурс-анализа. В соответствии с результатами анализа выборки из 107 медиасообшений, содержащих дискриминационно-маркированные лексические средства номинативных областей «Расовая (национальная) принадлежность» и «Гендерная принадлежность», выявлен основной инструмент нейтрализации дискриминационно-маркированных лексических единиц в медиадискурсе. Выводы. По результатам исследования авторы делают вывод о том, что наиболее продуктивным инструментом нейтрализации дискриминационно-маркированных лексических средств номинативных областей «Расовая (национальная) принадлежность» и «Гендерная принадлежность» является эвфемизация понятий. Нейтрализация посредством эвфемизации в соответствии с принципом политкорректности позволяет коммуникантам не только избежать употребления дискриминирующих лексических единиц, но и сделать коммуникативное общение более эффективным.
Statement of the problem. The purpose of the study is the search of the most productive tool for neutralizing discriminatively marked lexical means according to the principle of political correctness in media discourse. The linguopragmatics of neutralized discriminative marked lexical means allows the eliminating the discriminative effect and significantly increases the chances of successful communication. Results. The research material is represented by the Internet foreign media texts. We analyzed them through critical discourse analysis. According to the results of the analysis of 107 media texts containing discriminative lexical means of nominative areas "Racial (national) identity" and "Gender identity" we define the main tools of neutralization. They are euphemization, reduction of stigmatic terms and exclusion of invectives. Conclusion. According to the research results, the authors conclude that euphemization is the most productive instrument of neutralization of the discriminative lexical means in nominative areas of "Race (national) identity" and "Gender identity". Neutralization by euphemization in compliance with the principle of political correctness enables communicants not only to avoid the use of discriminative lexical means, but also can make communication more effective.
TAXIS AND PHASE IN THE ASPECT OF THEIR INTERCATEGORIAL INTEGRATION (based on the German language)
Authors: Архипова И.В. 
Published: December 2022

Постановка задачи. Данная статья рассматривает функционально-семантическую категорию таксиса и субкатегорию фазовости в аспекте их межкатегориального взаимодействия и интеграции. Результаты исследования. Были обследованы немецкие высказывания с предложными девербативами и фазовыми индикаторами. В ходе исследования было выявлено, что в высказываниях с предложными девербативами при наличии в них различных фазовых индикаторов (фазовых глаголов, фазовых аналитических конструкций, фазовых атрибутов, фазовых адвербиалов) актуализируются фазово-таксисные ситуации одновременности и разновременности. Актуализируемые фазово-таксисные ситуации одновременности и разновременности маркируют фазисную детерминацию глагольных действий и процессов, в частности, ингрессивную, срединную или эгрессивную фазу их осуществления или протекания. Выводы. Обследование эмпирического материала показывает, что в немецких высказываниях с предложными девербативами, содержащих различные фазовые индикаторы, возможна актуализация шести вариантов фазово-таксисных категориальных ситуаций одновременности и разновременности (ингрессивно-фазово-таксисных, эгрессивно-фазово-таксисных и фазово-таксисных категориальных ситуаций одновременности и разновременности, экплицирующих срединную фазу протекания или осуществления глагольных действий).
Problem statement. This article examines the functional and semantic categorie of taxis and subcategorie of phasing in the aspect of their intercategorial interaction and integration. Results. The German statements with prepositional deverbatives and phase indicators were examined. In the course of the study, it was revealed that in the statements with prepositional deverbatives, in the presence of various phase indicators (phase verbs, phase analytical constructions, phase attributes, phase adverbials), phase-taxis situations of simultaneity and non-simultaneity are actualized. The actualized phase-taxis situations of simultaneity and non-simultaneity mark the phase determination of verbal actions and processes, in particular, the ingressive, middle or egressive phase of their implementation or course. Conclusion. In German statements with prepositional deverbatives containing different phase indicators, it is possible to actualize six variants of phase-taxis categorial situations of simultaneity and non-simultaneity (ingressive-phase-taxis, egressive-phase-taxis and phase-taxis and categorical situations of simultaneity and non-simultaneity, explicating the middle phase of the flow or implementation of verbal actions).
Do input (s) matter in Second Language Acquisition (SLA)? Evidence from the Learners’ Outcomes
Authors: Raj Wali Khan  , Mian Farman Ullah  , Masood Khan  
Published: December 2022

The paper has investigated the role of L2 input (exposure) on learners’ outcomes in a second language learning setting among Pakistani students at the secondary level. The data were collected from one hundred and sixty-seven participants through a questionnaire (checklist) and a test from randomly selected English Language learners’ samples and analyzed through SPSS. The results have confirmed that the students of the private schools receive higher-level of inputs (English) than the state school students: t (167)=7.89,p<.05. The analysis also indicated that there have been statistically significant effects on the learners’ parents’ family income and education level. However, the results presented no significant difference in terms of gender. The findings may help teachers to improve their classroom interactions by providing better input(s) opportunities. It also proves that the students, who avail ample inputs, are more proficient and accurate in their production and commit fewer errors and mistakes in their outcomes. Moreover, it may help the authorities and policymakers to devise policies, and curricula and design materials accordingly.
PENINGKATAN HASIL BELAJAR PESERTA DIDIK PADA PEMBELAJARAN TEMATIK TERPADU MENGGUNAKAN MODEL KOOPERATIF TIPE TTW (THINK TALK WRITE) DI KELAS IVA SDIT CAHAYA HATI PAUH KAMBAR
Authors: Nur Azizah  , Sri Lena Mai 
Published: December 2022

Penelitian ini bertujuan untuk mendeskripsikan Peningkatan Hasil Belajar Peserta Didik Pada Pembelajaran Tematik Terpadu Menggunakan Model Kooperatif Tipe TTW (Think Talk Write) di Kelas IVA SDIT Cahaya Hati Pauh Kambar. Jenis penelitian yaitu Penelitian Tindakan Kelas (PTK) menggunakan pendekatan kualitatif dan kuantitatif. Penelitian dilaksanakan sebanyak dua siklus. Rancangan penelitian meliputi perencanaan, pelaksanaan, pengamatan dan refleksi. Subjek penelitian adalah guru dan 25 peserta didik kelas IV A SDIT Cahaya Hati Pauh Kambar. Teknik pengumpulan data melalui observasi, tes dan penilaian RPP. Hasil penelitian pengamatan RPP siklus I memperoleh rata-rata 88% dengan kategori baik (B) meningkat pada siklus II menjadi 100% kategori amat baik (AB). Pelaksanaan pada aspek guru siklus I memperoleh rata-rata 91% meningkat pada siklus II yaitu 100% dengan kategori amat baik (AB). Pelaksanaan pada aspek peserta didik siklus I memperoleh rata-rata 93% meningkat pada siklus II yaitu 100% dengan kategori amat baik (AB). Pada aspek pengetahuan pada siklus I memperoleh rata-rata 77,8 dengan kategori baik (B) meningkat pada siklus II menjadi 92,4 dengan kategori sangat baik (SB). Sedangkan pada aspek keterampilan pada siklus I memperoleh rata-rata 81,94 dengan kategori baik (B) meningkat pada siklus II menjadi 93,48 dengan kategori sangat baik (SB).