bluuebunny/crossref_metadata_2025 huggingface dataset:
Development and Demonstration of a Manually Operated Sugarcane Mother Shoot Cutter
Authors: P Kamaraj , A.Tajuddin
Published: December 2024

India ranks second in the world for sugarcane cultivation after Brazil, with an area of 4.7 million hectares and a productivity of 72 tonnes per hectare. However, traditional sugarcane farming methods require significant inputs such as water, seed, labor, land and fertilizers. Additionally, conventional tools like secateurs, knives, and sickles used for removing the mother shoot are inefficient and unsafe, leading to increased physical strain, a higher risk of hand and eye injuries and excessive drudgery for agricultural laborers. This study aimed to develop a more efficient and safer tool for removing the mother shoot in sugarcane cultivation, in line with the Sustainable Sugarcane Initiative (SSI). A manually operated sugarcane mother shoot cutter was developed, incorporating key components like a main conduit pipe, secateurs, operating lever, handle and handle grip. The tool was designed for use in a standing posture, reducing effort and physical strain. After being evaluated and demonstrated to sugarcane farmers in field conditions, the developed tool proved effective. Weighing only 0.8 kg, it allows operators to work in a standing position with minimal effort. The tool cuts approximately 800 shoots per hour, resulting in a 16% time saving and a 19% reduction in costs. It not only lowers cultivation costs but also reduces human drudgery. The tool's key innovation lies in its simple design, which enables efficient operation while standing, decreasing the risk of injuries associated with traditional tools and eliminating the physical strain commonly encountered during the labor intensive process of mother shoot removal. By aligning with the principles of the Sustainable Sugarcane Initiative, the tool optimizes resource usage and enhances productivity.
AI in Corporate Governance: Navigating Critical and Comfortable Aspects
Authors: Wang Jingjing , Gu Shiwen , Lu Yingchun
Published: December 2024

Today Artificial Intelligence (AI) and related technologies have become a disruptive force in the market, impacting every aspect of a business. AI's roles in corporate governance (CG) practices are important; it, however, has to be seamlessly integrated for the desired outcomes. This research aims to assess the critical and comfortable aspects of AI for CG in organisations, specifically in the manufacturing sector. The research employed a qualitative strategy since the strategy aids in exploring a phenomenon comprehensively. In line with the qualitative strategy, semi-structured interviews with experts from the manufacturing industry were conducted as subject of this research. Thematic analysis was done on data using ten experts, ranging from China’s manufacturing industry. The findings reveal that AI is quite important for CG since it can improve all the parts of CG, focusing on risk management and decision-making. Interviews with experts emphasised that AI has facilitated rational decision-making and risk management in organisations. Yet the findings also showed that AI in CG was not quite without challenges, such as data quality, ethics and employee resistance. Nonetheless, appropriate mitigation strategies can be implemented, like robust data governance frameworks and training programs for employees that can make AI a critical aspect of CG and ensure that it is comfortably integrated into business operations. Overall, this research has significant managerial implications since it highlights the need for AI in CG by addressing the challenges faced with AI integration.
The Relationship of Faith and Knowledge: Experience of the Western Christian Tradition of Education
Authors:   Oryol State University named after I.S. Turgenev, Toropov Artem
Published: December 2024

This article is devoted to a very interesting issue, which is little-studied in Russian literature: historical development of theological science in the Latin tradition in particular and Western theological thought in general, and their differences from patristic thought. The article analyzes the development of Western theological science in the Latin tradition, particularly its gradual shift from praxis towards a rational understanding of theology. This shift led to the neglect of praxis, which Eastern theologians considered equally important to the rational aspect, and to the gradual secularization of theological education in the West. The author concludes that only the Christian paradigm of education can fully develop its ideological potential and resources, but this is possible only through a synthesis of praxis and reason, without allowing one category to dominate the other.
Georges Florovsky and Vladimir Lossky on the Relationship between Sobornost and Personality
Authors:   Southern Federal University, Serdyukova Elena , Rozhkov Vladimir ,   Saratov State University
Published: December 2024

Among the representatives of the Russian philosophical diaspora that emerged after 1922, we highlight the generation of Russian émigréphilosophers referring as an example to the works of Vladimir Lossky, who together with George Florovsky created a tradition in the development of Russian Orthodox theology. By turning to the consideration of the idea of sobornost, we trace both the general and specific features of their philosophical teachings on the issue of conciliar foundations of personality. Philosophers present sobornost in the aspect of conciliarity in the Church. They designate aspects of conciliar unity, the main quality of which is concreteness. Sobornost is understood by philosophers in a personalistic way and is defined as a guideline for development and activity of an individual.
Narrativas transmedia como herramienta innovadora para el aprendizaje interactivo en entornos educativos digitales
Authors: Arias Oscar , Del Campo Saltos Guillermo
Published: December 2024

El estudio analizó el uso de narrativas transmedia como herramienta de aprendizaje en entornos educativos digitales para fortalecer la formación de estudiantes universitarios de la carrera de Multimedia de la Universidad Estatal de Milagro (UNEMI). Se diseñó una metodología interactiva basada en estrategias digitales y principios transmedia, implementada en un grupo de participantes de esta carrera. La investigación adoptó un enfoque mixto, con técnicas descriptivas y deductivas, recolectando datos mediante entrevistas, encuestas y análisis documental. Los resultados identificaron que el uso de narrativas transmedia fomenta el aprendizaje significativo al integrar múltiples plataformas mediáticas, permitiendo a los estudiantes de multimedia desarrollar destrezas técnicas, creativas y capacidades socioemocionales. Cada medio contribuyó de manera complementaria al proceso educativo, destacándose el impacto positivo en la motivación, la interacción y la participación activa en los proyectos académicos. La investigación concluyó que las narrativas transmedia son una herramienta efectiva para generar contenidos educativos innovadores que trascienden el aula, motivan el aprendizaje interactivo y mejoran la integración de tecnologías en la enseñanza de estudiantes universitarios. Se propusieron lineamientos para la creación y aplicación de estas narrativas, con el fin de fortalecer la formación académica en la carrera de Multimedia y de impulsar investigaciones futuras en otras disciplinas relacionadas con la educación tecnológica y creativa.
Humor negro y comunicación subversiva en la narrativa audiovisual independiente
Authors: Arias Oscar , Saltos Guillermo
Published: December 2024

El estudio analizó el humor negro en el cine independiente como medio de crítica social y comunicación subversiva, utilizando la película Parásitos como caso de análisis. Se planteó como objetivo identificar el impacto de este género en la audiencia y su capacidad para promover reflexiones sobre desigualdades sociales y económicas. La metodología incluyó un diseño descriptivo no experimental, empleando enfoques cuantitativos y cualitativos. Se aplicaron encuestas, entrevistas y fichas de observación para recopilar datos significativos. Los resultados revelaron que el humor negro, caracterizado por la ironía, el sarcasmo y la sátira, aborda temas sensibles como la pobreza y la desigualdad, generando tanto reacciones críticas como emocionales en la audiencia. Los participantes señalaron que Parásitos utiliza eficazmente estos recursos para reflejar problemáticas sociales, fomentando una mayor conciencia y reflexión sobre las disparidades económicas. Además, el estudio destacó el rol del cine independiente como espacio de libertad creativa que permite abordar narrativas subversivas. Se concluyó que el humor negro en el cine independiente tiene un impacto significativo como herramienta de crítica social y promotor de comunicación subversiva. Esto implica que este género puede ser empleado para sensibilizar a la audiencia sobre problemas sociales complejos. Como propuesta, se desarrolló una cuenta en la red social TikTok para difundir contenido informativo y educativo sobre el humor negro en el cine independiente, con el objetivo de ampliar su alcance y fomentar la reflexión crítica en nuevas audiencias.
Competencias Digitales en la Educación Media Superior: análisis descriptivo basado en estudios previos
Authors: Zavala Guevara Lorena , Sanjuanero Becerra Ricardo
Published: December 2024

En el ámbito educativo, las herramientas digitales cobran mayor fuerza. Implementar clases de calidad en el uso digital en el nivel medio superior requiere competencia digital docente. El propósito de este artículo es identificar los estudios más pertinentes sobre el nivel de Competencia Digital Docente en la Educación Media Superior, describiendo los enfoques conceptuales y las ventajas que ofrece al entorno de aprendizaje. Se enfatiza la creciente necesidad de reconocer su valor en el ámbito educativo. Se examinaron diez estudios de investigación sobre competencias digitales docentes, analizando su definición, aplicaciones prácticas, desafíos y resultados mediante una metodología de revisión bibliográfica. Los docentes de nivel medio superior deben desarrollar habilidades digitales e integrar tecnologías en la enseñanza para promover la alfabetización digital en los estudiantes. Es necesario seguir investigando y fortaleciendo las competencias digitales docentes en el nivel medio superior para mejorar la calidad educativa y preparar a los docentes para los desafíos de la educación digital actual y futura. Es importante definir y comprender las competencias digitales en la educación docente para mejorar la calidad de la enseñanza en la educación media superior.
Evaluación del conocimiento y aplicación de elementos multimodales por docentes en la Licenciatura en Educación Física según estudiantes
Authors: Sanjuanero Becerra Ricardo , Zavala Guevara Lorena
Published: December 2024

La presente investigación determina como objetivo Identificar, desde la perspectiva de los estudiantes, el nivel de conocimiento y la aplicación de elementos multimodales en las estrategias de enseñanza utilizadas por los docentes del área instrumental de la Licenciatura en Educación Física y Ciencias del Deporte (LEF  y CD ) en la Universidad Autónoma de Querétaro (UAQ), con el fin de comprender cómo estas prácticas impactan la experiencia de aprendizaje. De igual manera se establece un enfoque cualitativo, con una metodología de investigación basada en el diseño, en donde en esta primera etapa, denominada como diagnóstico, tiene como finalidad, conocer la percepción del estudiantado de la licenciatura respecto al uso de recursos multimodales en su proceso de formación. Se realizó una aplicación de formulario a 311 estudiantes de la LEF  y CD, en donde se determina la aplicación de un modelo multimodal en las asignaturas que forman parte del área mencionada, lo cual aportará una mejor perspectiva en cuanto a lo que se conoce como aplicación de multimodalidad en las asignaturas establecidas.Durante el desarrollo de la investigación, fue posible observar limitantes como la carencia de objetividad en cuanto a la evaluación de las asignaturas, identificando en este primer momento a manera de conclusión que el 54% de estudiantes determina que se identifican variedad de recursos multimodales en las asignaturas, así como un 40% que establece que en algunos momentos y el 6% obserba que no se llevan a cabo en ningún momento.
El emprendimiento como vínculo económico de fortalecimiento en la sociedad ecuatoriana
Authors: Veliz Llaguno Asatiani , Espín Montesdeoca Darwin , Inca Veliz Jose Arturo , Herrera Erazo Marcelo Paul
Published: December 2024

El tema referente al emprendimiento como vínculo económico de fortalecimiento en la sociedad ecuatoriana, se refiere a un solución ante diversos esquemas sociales concerniente a fuentes de trabajo, situación económica, nivel de vida, entre otros, que son causantes de una crisis social en aumento en el país, el objetivo del presente artículo es el determinar los principales factores que deben de tener el emprendedor para concretar la idea de un negocio en la comunidad, además de describir las bases teóricas, legales y conceptuales necesarias para el buen manejo de la actividad en harás del desarrollo personal, familiar y de la comunidad. El enfoque metodológico es de carácter cualitativo y cuantitativo, se utiliza un estudio exploratorio, no experimental, correlacional y descriptivo, los instrumentos utilizados es la observación, entrevistas y encuestas, dentro del cuestionario se considera un grupo focal donde participan 50 personas para denotar su interés por su propio negocio. Los resultados recopilados mediante un test de emprender da a conocer que existe un gran número de personas que buscan su propi fuente de ingresos y que requieren de herramientas necesarias para su participación en la vida económica del Ecuador, donde se concluye que la idea generadora de empleo va a permitir impulsar nuevas políticas de desarrollo para garantizar la expansión de nuevas estrategias en el ámbito administrativo,, tecnológico, medio ambiente y financiero con el fin de suplir deseos y alcanzar un mejor nivel de vida para la familia y sociedad emprendedora.
INDEPENDENT SAMPLES T TEST AND THE MANN-WHITNEY-WILCOXON TEST TO KNOW THE EFFECT OF THE DRILL METHOD ON MATHEMATICS LEARNING OUTCOMES
Authors: Nurwiani  , Tristanti Lia Budi
Published: December 2024

This study aims to analyze the effect of the drill method on the mathematics learning outcomes of seventh-grade students at SMP Negeri 5 Jombang. The pre-test results were tested for normality using the Shapiro-Wilk test and for homogeneity using the Bartlett test. The pre-test results showed the data were normally distributed and homogeneous. The t-test indicated that the pre-test mean scores between the control and experimental classes were the same. However, the post-test data for the experimental class were not normally distributed, so homogeneity was tested using the Levene test. The Mann-Whitney test showed a significant difference, proving that the drill method affects students' learning outcomes.
Estimating Extreme Quantiles of Unknown Distributions using the Peak Over Thresholds Method
Authors: KHATUN Mahfuza , SIDDIQUI Sikandar
Published: December 2024

The purpose of this paper is to present an analytically easy-to-use procedure for estimating extreme quantiles of continuous random variables using the Peak Over Threshold approach and a statistically sound approach to the problem of threshold selection that needs to be resolved in this context. A web link included in the text points to a ready-to-use implementation of the proposed method in the popular programming language Python.
Inovasi Pemberi Pakan Ikan Otomatis Bertenaga Surya: Solusi Efisiensi Energi untuk Mendukung Budidaya Ikan di Kota Medan
Authors: Idris Muhammad , Iswandi Iswandi , Hermanto Tino , Darwin Felix , Haniza Haniza , Harahap Uun Novalia
Published: December 2024

Penggunaan teknologi energi terbarukan, seperti panel surya, dalam mendukung otomatisasi pemberian pakan ikan merupakan solusi inovatif yang dapat meningkatkan efisiensi budidaya perikanan. Kegiatan merupakan kegiatan pengabdian kepada masyarakat yang bertujuan untuk menguji kinerja alat pemberi pakan ikan otomatis bertenaga surya yang diimplementasikan di Balai Benih dan Budidaya Ikan Kota Medan. Pengujian dilakukan untuk memantau arus dan daya yang dihasilkan oleh panel surya, serta mengevaluasi efektivitas alat dalam kondisi lapangan. Hasil uji coba menunjukkan bahwa alat bekerja optimal pada siang hari, dengan arus maksimum 0,3 A dan daya maksimum 100 W pada intensitas sinar matahari tertinggi. Meskipun terdapat penurunan performa pada sore hari, alat ini terbukti mampu mendukung otomatisasi pemberian pakan ikan secara efisien. Teknologi ini memberikan manfaat signifikan bagi petani ikan, termasuk penghematan energi dan biaya operasional. Kegiatan PkM ini juga memberikan informasi penting tentang potensi penerapan energi terbarukan dalam sektor perikanan secara lebih luas.
Desain Fasilitas Publik Toilet Sebagai Penunjang Wisata di Pulau Lancang, Kabupaten Administrasi Kepulauan Seribu
Authors: Permata Suciati
Published: December 2024

Kepulauan Seribu adalah Kabupaten Administrasi di DKI Jakarta, terdiri dari gugusan pulau-pulau yang dapat diakses melalui pelayaran dari Muara Angke dan Marina Ancol. Pulau Lancang Besar, salah satu pulau berpenghuni, menjadi lokasi pengabdian masyarakat Prodi Arsitektur Universitas Mercu Buana sejak 2021. Kegiatan tahap 1 dan 2 meliputi pembangunan fasilitas publik, seperti taman bermain, ruang guru, dan balai warga, yang dikelola secara swadaya oleh Yayasan Al Hijrah tanpa memungut biaya dari siswa. Pada tahun akademik 2024, program dilanjutkan dengan perancangan fasilitas toilet umum untuk meningkatkan daya tarik wisata Pulau Lancang. Fasilitas ini diharapkan dapat mendukung kebutuhan wisatawan sekaligus meningkatkan kualitas lingkungan. Upaya ini sejalan dengan rencana pengembangan wisata Kepulauan Seribu untuk meningkatkan ekonomi masyarakat setempat melalui penyediaan infrastruktur yang fungsional dan menarik secara estetika.
Turvallisuutta ja erottautumista
Authors: Lankinen Ninni
Published: December 2024

Maahanmuuttotaustaisten nuorten koulutusvalintojen erityispiirteitä on tutkittu Suomessa vasta vähän. Tässä tutkimuksessa selvitetään, millaisiin rakenteellisiin seikkoihin, kuten koulujen valkonormatiivisuuteen maahanmuuttotaustaisten tyttöjen toisen asteen koulutusvalinnat kytkeytyvät. Tutkimusaineisto koostuu yhdeksän tytön etnografisista haastatteluista peruskoulun yhdeksännen luokan aikana sekä toiselle asteelle siirtymisen jälkeen. Nuorten koulutusvalintojen kehkeytymistä seuraavan tutkimuksen laadullinen aineisto on analysoitu sisällönanalyyttisesti ja myöhemmin symbolisen väkivallan teoriaa vasten peilaten. Nostan esiin kaksi aineistossa toistuvaa valintoja määrittävää teemaa: turvallisen opiskeluympäristön löytämisen ja etäisyyden omaan etniseen taustaan. Osoitan, että symbolinen väkivalta ja valkoisen suomalaisuuden normalisointi rajaavat etenkin näkyviin vähemmistöihin kuuluvien tyttöjen koulutushorisontteja. Vähemmistöihin kuuluvien nuorten koulutusvalinnat ovat yksilöllisiä ja ”vapaita” vain näennäisesti, sillä toiseuttavat rakenteet rajoittavat heidän mahdollisuuksiaan. Nuorten arjessaan kohtaama rasismi ja normatiivinen valkoinen, keskiluokkainen suomalaisuus ohjaavat heitä valitsemaan kouluja, joissa on riittävästi muitakin maahanmuuttotaustaisia nuoria. Tämä vähentää nuorten mahdollisuuksia sosiaaliseen liikkuvuuteen ja heikentää koulutuksellisen tasa-arvon toteutumista.
Asiasanat: maahanmuuttajat, nuoret, tytöt, koulutusvalinnat, etnografia
***
Finding safety or detachment. Post-comprehensive educational choices of girls with a migrant background Ninni LankinenThe Finnish Journal of Youth Research(Nuorisotutkimus) Vol 42 (4), 3–18
Research on the choices of young people with a migrant background in Finland is scarce. This study investigates structural challenges, such as normative whiteness in schools, which are associated with the choices of girls with a migrant background. The data consist of ethnographic interviews with nine girls, conducted during the ninth grade of primary school and after transitioning to upper secondary school. The qualitative data related to the development of their educational choices were first analysed using content analysis and subsequently examined in the light of the theory of symbolic violence. The analysis highlights two recurring themes in the data that determine choices: finding a safe study environment and distancing oneself from one’s ethnic background. The findings show that the educational choices of girls with a migrant background are constrained by symbolic violence, racism and normative white middle-class Finnishness. These constraints reduce their opportunities for social mobility and weaken the realization of educational equity.
Keywords: migrants, young people, girls, educational choices, ethnography
Pengaruh Konsumsi Kunyit Asam (Curcuma domestic tamarindus indica) Terhadap Tingkat Nyeri Disminorhea Ramaja Putri
Authors: Nisa Setia , Armalini Rika
Published: December 2024

Laporan kesehatan reproduksi dari World Health Organization (WHO) menyatakan bahwa hampir 85% wanita usia subur mengalami dysmenorrhea pada saat haid, 70% diantaranya merupakan kelompok umur 13 – 21 tahun. Data RISKESDAS Kementrian Kesehatan Republik Indonesia, angka kejadian dysmenorrhea 65,4% dari total wanita usia subur dan 78,6% merupakan kelompok remaja awal. Tujuan penelitian ini adalah untuk mengetahui Pengaruh Konsumsi Kunyit Asam (Curcuma Domestica Tamarindus Indica) terhadap Tingkat Nyeri Disminorhea pada Remaja Putri di  Puskesmas Air Santok Kota Pariaman. Jenis penelitian ini adalah penelitian quasiexperimental designs. Lokasi Penelitian Puskesmas Air Santok Kota Pariaman dan dilaksanakan pada bulan Oktober 2024. Populasi seluruh remaja putri di  Puskesmas Air Santok Kota Pariaman yang mengalami disminorhea dalam 3 bulan terakhir yakni sebanyak 22 orang. Hasil penelitian menunjukkan tingkat nyeri responden pada  sebelum (Pretest) dilakukan konsumsi kunyit asam sebagian besar berada pada kategori sedang, dengan nilai mean 5,68. Tingkat nyeri responden  setelah (Postest) dilakukan konsumsi kunyit asam mayoritas berada pada kategori ringan, dengan nilai mean 3,18. Ada pengaruh konsumsi kunyit asam dengan tingkat nyeri  pada siswi  di Puskesmas Air Santok Kota Pariaman tahun 2024 dengan p value 0,001.. Diharapkan pada remaja yang mengalami dismenore untuk mengkonsumsi kunyit asam sebagai alternatif pengobatan mengurangi rasa nyeri, karena selain aman, bahan-bahan yang dibutuhkan juga mudah didapatkan.
Smartphone-Based Psychological Sensing: A Large-Scale Study on the Impact of Extreme Isolation
Authors: Yuan Zhaohui , Cao Yuqing , Chen Zhong
Published: December 2024

The COVID-19 pandemic and associated isolation measures have greatly impacted mental health, especially among students. Previous attempts at using mobile sensors to analyze users' emotional states faced barriers including insufficient data and limited modalities. This study aims to address these limitations and derive insights on psychological changes under extreme isolation. We collected a large-scale multivariate dataset from 725 undergraduate students during the complete COVID-19 campus lockdown period. To our knowledge, this is the largest dataset on this population during an extended isolated period. Features were engineered from mobile sensor data to capture modalities including physical activity, sleep patterns, and social interaction. Additionally, self-reported assessments related to mental health conditions were compiled. This rich dataset was leveraged to develop a machine learning model based on autoencoders to detect emotional states. Comprehensive experiments indicate the model can accurately predict mental health changes using mobile sensor data. Our work has unique contributions in collecting large-scale isolated data, engineering informative modalities for modeling mental health, and providing a validated detection method. This can support rapid screening and intervention for mental health crises, especially those emerging from extreme events. The dataset and models open promising directions for big data analytics in mobile health and psychological research.
Integrating Deep Learning into Educational Big Data Analytics for Enhanced Intelligent Learning Platforms
Authors: Zhang Min
Published: December 2024

Exploring the field of educational big data analytics and gaining insights into student behaviour and its connection to academic performance is crucial for creating intelligent learning environments. Technological innovations have changed how students learn and reshaped the nature of education. Technological advancements have unquestionably made learning more accessible, faster, and enjoyable for pupils. When deep learning is integrated with learning management systems, intelligent course content may be generated with high accuracy, and no human interaction is required. This study utilises advanced deep learning techniques to analyse the xAPI-Educational Mining Dataset and reveal valuable insights that can significantly improve online learning experiences. The study underscores the crucial importance of parental involvement, emphasising its link to student attendance and overall satisfaction with the educational institution. In addition, the results suggest that students who actively participate in course announcements and utilise resources tend to achieve better academic outcomes, highlighting the significance of resource utilisation in achieving academic success. On the other hand, engaging in conversations seems to have a minimal effect on how students are categorised. Building upon these findings, a novel predictive model is introduced, utilising Long Short-Term Memory (LSTM) networks. This model utilises sequential student interaction data to predict future behaviour and academic outcomes, helping online platforms understand student actions and make informed decisions. This study makes a valuable contribution to developing cutting-edge intelligent learning approaches. It achieves this by utilising the potential of educational big data analytics and deep learning techniques.
A Study on 3D Human Pose Estimation with a Hybrid Algorithm of Spatio-temporal Semantic Graph Attention and Deep Learning
Authors: Lin Shengqing
Published: December 2024

This paper introduces a method to enhance 3D human pose estimation accuracy by leveraging human topological structure and temporal information, addressing inaccuracies due to occlusion and complex poses. It proposes a spatiotemporal Transformer network that aggregates local temporal information to predict 3D poses for video frames, reducing sequence length through cross-step convolution. To further handle occlusion and information loss, the paper suggests a spatiotemporal graph attention network that incorporates spatial constraints and graph convolution with an improved adjacency matrix to emphasize local information in pose inference. A temporal convolutional network is also employed to model time, and the network alternates between temporal and spatial attention modules to prevent spatiotemporal information loss. Experiments on Human3.6m and HumanEva datasets demonstrate that the proposed method outperforms other approaches in prediction accuracy.
Verification of 3D Electrical Equipment Model Based on Cross-source Point Cloud Registration Using Deep Neural Netwo
Authors: Yu Hai , He Zhimin , Peng Lin , Zhou Aihua
Published: December 2024

With the popularization of digital twin techniques in power substations, assessment and verification of electrical equipment 3D models in digital twins according to as-built LiDAR point clouds become essential for the quality assurance of the designed substation models. However, computing the shape and texture differences between a 3D model and its corresponding point cloud is challenging due to the difficulty in aligning cross-source equipment point clouds with local geometric shape variations. In this paper, we propose a 3D model verification method based on overlap-aware cross-source point cloud registration. The key of the method is an overlap attention-based point cloud registration network with grouped KPConv, attention mechanism, and overlap-weighted circle loss. It improves the registration accuracy against local geometric shape variations between 3D models and LiDAR point clouds. In addition, due to the lack of real-world point cloud samples of electrical equipment, a novel point cloud augmentation method is employed for generating synthetic point clouds for improving the sim-to-real generalization capability of the network. Based on the pose alignment of the 3D model and the corresponding point cloud, a facet-level computing method is proposed for model differentiation and colorization. Experimental results using real-world point clouds of power substation equipment validate the performance of the proposed method.
The Robust Asymmetric Minimum Cost Consensus Models with Interval-type Opinions
Authors: Dai Zexing , Fang Zhiming , Zhu Gang
Published: December 2024

Existing consensus models primarily rely on precise opinions from decision-makers in a predefined context, neglecting the dynamics of expert opinion adjustments. To address this limitation, we introduce the interval-type opinions and explores the group decision consensus model under asymmetric adjustment cost from an uncertainty perspective. Then, the robust optimization theory is applied to adress the uncertainty in adjustment costs of decision-making individuals. The robust asymmetric cost consensus model of interval opinions under three uncertain scenarios is built. Finally, the validity of proposed model is verified by numerical calculations, and a sensitivity analysis and comparative study are performed. The results show that: (1) Utilizing interval opinions can significantly reduce consensus costs when compared to precise opinions; (2) Comprehensively comparing the three proposed robust models, the consensus model with budget asymmetric cost has the best performance.
Enhanced Feature Extraction with AL-YOLOv9s Lightweight Model: Application in Key Component Recognition Within Highly Integrated Device Environments
Authors: Wang Yang , Pan Wei , Wang Liming , Zhang Peng
Published: December 2024

In environments containing highly integrated devices, accurately monitoring the status of circuit breaker lockouts is essential for maintaining the stability of power systems. Traditional detection methods are often inadequate due to complex equipment configurations and severe operational challenges. This paper presents an enhanced detection model, the AL-YOLOv9s, which improves the efficiency and accuracy of detecting circuit breaker lockouts. The AL-YOLOv9s model is based on the advanced YOLOv9s algorithm and incorporates an enhanced efficient multi-scale attention module to boost feature extraction capabilities. It also integrates channel and spatial attention mechanisms to optimize the feature fusion process, thereby improving detection performance. Additionally, the model has been optimized to a size of 4.7M, making it suitable for lightweight field applications without compromising accuracy. Experimental results demonstrate that the AL-YOLOv9s model achieves high standards in accuracy and portability, thus offering an effective and practical solution for lockout detection.
Imaging Segmentation of Brain Tumors Based on the Modified U-net Method
Authors: Zhang Yajie , Ngo Hea Choon , Zhang Yifan , Yusof Noor Fazilla Abd , Wang Xiaohan
Published: December 2024

Brain tumor segmentation in medical image analysis is a challenging task. Deep learning techniques have recently shown promise in resolving a variety of computer vision problems, such as semantic segmentation and image classification. Brain MRI (magnetic resonance imaging) requires precise brain image segmentation for effective, rapid diagnosis and treatment planning. However, it is quite difficult to manually segment the brain image rapidly and accurately in low-quality, noisy images. This paper proposes a U-Net and combined attention mechanism-based method. This research enhances the segmentation of images of tumors in the brain using modified U-net. Traditional U-net segmentation techniques are still widely used in the medical field, but they have a number of limitations when dealing with small targets and fuzzier boundaries. To address this issue, we made the following modifications to U-net: We propose attention mechanisms to assist the network in concentrating on important regions. The multiscale feature fusion strategy improves the efficacy of network segmentation at various scales. Cross-entropy loss function and data augmentation improve the performance of the network further. Our method was validated using the Brats2019 dataset. The experimental results demonstrate that our proposed methodology exhibits superior speed and efficiency compared to existing techniques in the context of brain image segmentation. The dice coefficients for the multiple branch TS-U-net model were 0.876, 0.868, and 0.814 in the tumor subregions of WT, TC, and ET, respectively. This exemplifies the feasibility and potential of our methodology for the segmentation of medical images.
A Survey on Privacy Attacks and Defenses in Graph Neural Networks
Authors: Luo Lanhua , Ren Wang , Huang Huasheng , Wang Fengling
Published: December 2024

Graph neural networks (GNNs) have emerged as a powerful tool in the field of graph machine learning, demonstrating by a various practical applications. However, the complex nature of graph structures and their expanding use across different scenarios present challenges for GNNs in terms of privacy protection. While there have been studies dedicated to addressing the privacy leakage problem of GNNs, many issues remain unresolved. This survey aims to provide a comprehensive understanding of the scientific challenges in the field of privacy-preserving GNNs. The survey begins with a succinct review of recent research on graph data privacy, followed by an analysis of the current methods for GNNs privacy attacks. Subsequently, the survey categorizes and explores the limitations, evaluation standards, and privacy defense technologies for GNNs, with a focus on data anonymization, differential privacy, graph-based federated learning, and methods based on adversarial learning. Additionally, the survey also summarizes some widely used datasets in GNNs privacy attacks and defenses. Finally, we identify several open challenges and possible directions for future research.
Effect of manta ray's flexible hydrofoil kinematic parameters on autonomous propulsion efficiency
Authors: Gao Qiang
Published: December 2024

Marine organisms have evolved various locomotion methods over millions of years to adapt to aquatic environments. Manta rays, with their pectoral fins and flexible hydrofoil propulsion, inspire advancements in underwater propulsion systems. In this study, an overlapping grid was used to create a simplified model based on the pectoral fins of a manta ray. The oscillatory traveling wave equation is programmed and loaded on the pectoral fin model to characterize the motion state of the manta ray cross-section. It explored how wavelength and frequency affect the efficiency of flexible hydrofoil swimming. Results showed that flexible hydrofoils create reverse Kármán vortex streets during autonomous swimming. The size of these vortices, along with frequency and wavelength, impacts propulsive efficiency. When frequency is fixed, increasing wavelength increases turbulence, reducing efficiency but slightly boosting speed. Conversely, fixing wavelength and increasing frequency improves stability, enhancing efficiency and speed. This research offers new insights for designing biomimetic underwater propulsion systems in marine engineering.
Calculation Method of Complete Dynamic Characteristics Coefficients for Tilting Pad Bearings Based on Equivalent Motion of Babbitt Pads
Authors: SONG Xiaoming , DONG Yingjuan , BAI Tao , YU Jianguo
Published: December 2024

As energy equipment advances towards higher speeds and greater capacities, the issue of instability in tilting pad bearings has correspondingly grown more pronounced. The method of eight-coefficients dynamic characteristics of the tilting pad bearing expose many shortcomings. This paper introduces the geometric interplay between the tilting pad bearing and journal movement, advancing a novel method for calculating the comprehensive characteristic coefficients of the bearing, grounded in the concept of tile motion equivalence. According to the geometric relationship between tilting pad bearing and journal movement, the coordinate system of the tilting pad bearing pad performance is established. The motion of the pad is equivalent to the movement of the journal to solve the complete characteristic coefficient, and the relationship between the complete kinetic coefficients is deduced. In contrast to the tile perturbation approach, our method alleviates the complexities associated with determining the complete characteristic coefficients, streamlines the computational workflow, boasts high efficiency and reliability, and is more readily embraced and comprehended by engineering professionals. It provides the support for the calculation of the tilting pad bearing-rotor system stability.
Simulation and analysis of the crankshaft system of the high-power marine engine
Authors: Zhao Huijun , Wu Jie , He Haibin , Xiao Yang , Wang Lei , Lou Hua , Liu Kaimin , Ruan Xiaodong
Published: December 2024

The crankshaft is one of the most important parts of the engine and is likened to the "backbone" of the engine. In this paper, NL9340 high power diesel engine crankshaft system as the research object, the finite element free mode simulation model of crankshaft was established, and the inherent frequency and vibration mode of crankshaft were calculated. Through the rigid-flexible coupling finite element simulation of the crankshaft system, the dynamic and kinematic characteristics of the crankshaft system were analyzed. It was calculated that the load spectrum of each cylinder connecting rod journal and piston pin mainly fluctuated in the range of 20000 kN, in which the maximum exciting forces of the first connecting rod journal and the second connecting rod journal are above 30000 kN. On this basis, the static strength of the crankshaft was simulated and analyzed. The results show that the stress is the greatest and most concentrated at the over-rounded corner between connecting rod journal and crank. The maximum equivalent stress and deformation occur at the second cylinder connecting rod journal, which are 14.103 MPa and 8.3683 e-3 mm respectively.
APLIKASI PENGAJUAN DAN PEMBAYARAN PINJAMAN KARYAWAN BERBASIS WEBSITE PADA PT. XYZ
Authors: Natala Fanny Dwi , Suwita Jaka , Winanti Winanti
Published: December 2024

PT. XYZ adalah salah satu pabrik di Kab.Tangerang yang bergerak dibidang kosmetik. PT. XYZ  selalu berusaha menunjukan rasa kepedulian serta memberikan kemudahan khusus terhadap karyawannya, maka salah satu bentuk rasa kepedulian Perusahaan terhadap karyawannya adalah dengan memberikan kemudahan dalam proses pinjaman uang, untuk membantu para karyawan yang sedang membutuhkan dana darurat tanpa adanya suku bunga atau jaminan apapun. PT. XYZ  memiliki permasalahan dari sistem pengajuan dan pembayaran pinjaman, Dimana masalah yang terjadi saat ini adalah pengajuan dan pembayaran masih di lakukan secara manual menggunakan alat tulis lalu di input Kembali ke dalam Microsoft Exel yang membutuhkan waktu lebih lama serta pembuatan laporan yang belum dapat diakses atau disajikan dengan cepat. Maka tujuan dari pembentukkan proposal ini adalah untuk mengetahui bagaimana teknologi berperan dalam memperbaiki sistem pengajuan dan pembayaran pinjaman lalu memberikan Laporan pinjaman  yang efektif dan efisien, Berdasarkan hal tersebut maka di lakukan analisa dan perancangan sistem informasi menggunakan bahasa pemograman PHP dan database MySQL dengan penelitian metode SDLC (System Development Life Cycle) menggunakan model waterfall. Yaitu pendekatan dalam pengembangan perangkat lunak dengan tahapan analisis kebutuhan, perancangan, implementasi, pengujian, dan pemeliharaan.  Hasil penelitian ini dapat membuktikan bahwa melalui perancangan sistem pengajuan dan pembayaran pinjaman membantu memenuhi kebutuhan layanan yang di perlukan perusahaan.  rancangan tersebut dapat di gunakan untuk membantu proses  laporan dan sebagai penunjang kelancaran dalam proses transaksi
ANALISA DAN PERANCANGAN SISTEM INFORMASI ENKRIPSI DATA DENGAN ALGORITMA VIGENERE CHIPER BERBASIS WEB
Authors: Makin Samsul , Rindiansyah Dodi , Kurniawan Muhammad Arif , Yuniarti Angger Styo , Rukmana Andi
Published: December 2024

Cryptography is a field of knowledge that uses mathematical equations to perform encryption and decryption processes. This technique is used to convert data into certain codes, with the aim that the stored information cannot be read by anyone except those who have the right. In this study, a cryptography learning application was designed that implements encryption and decryption methods using the Vigenere cipher method. The results of the study are a cryptography learning application using the Vigenere cipher method that can encode secret messages and also help increase the understanding of users who want to learn about cryptography, especially the Vigenere cipher method.
PENERAPAN E-COMMERCE PADA PENJUALAN BOUQUET BUNGA DAN PAPAN AKRILIK
Authors: Siregar Regita Yori , Siregar Fairuz Azzaria , Rahma Najahaura , Sintiya Aqilla , Batubara Nabila Rahmadani
Published: December 2024

E-commerce is a method of selling and purchasing goods and services over the Internet. E-commerce is part of e-business, and refers to a broader scope. Not only buying and selling transactions, but also collaboration with business partners, customer service, human resource recruitment, and so on. Apart from web network technology, electronic commerce also requires other non- computer based technologies such as database technology, electronic mail (email), product delivery systems, and payment methods. The opportunities for e-commerce in the business world are still very large, especially in Indonesia, considering that the available market is still wide open. This research aims to develop an E-commerce system that facilitates the sale and ordering of Flower Bouquets and Acrylic Boards, complete with detailed product information and ordering guides. This e-commerce system was built using the HTML and PHP programming languages, as well as Bootstrap to beautify the appearance. It can be concluded that the resulting system is able to simplify the sales process, convey product information, and the product ordering process according to consumer wishes.Keywords:e-commerce, market place, HTML, PHP, Bootstrap
Общественные молодежные организации в техническом университете как форма проявления профессиональной зрелости
Authors: Абраухова В.В. , Егорова Е.И. , Буракова Е.Г.
Published: December 2024

статья посвящена выявлению роли общественных молодежных организаций в формировании и проявлении профессиональной зрелости у молодежи. Авторы рассматривают понятие профессиональной зрелости, выявляют основные характеристики данного понятия и анализируют влияние участия в общественных организациях на формирование у студентов профессиональной зрелости. Особое внимание в работе будет уделено анализу практического опыта участия студентов в общественных молодежных организациях на примере ДГТУ. Общественная деятельность в университете выступает в качестве одного из определяющих качеств человека, которая создается под влиянием деятельности, является социально значимыми мотивами и определяет социально значимые достижения. Проведен анализ общественных молодежных объединений в структуре ДГТУ; выявлены причины мотивации у обучающихся, участвующих в общественных молодежных организациях; определены основные преимущества участия студентов в общественной деятельности. Основными методами статьи являются анкетирование и анализ. В заключении авторы приходят к выводу о важности участия в общественных молодежных организаций как средства формирования профессиональной зрелости и успешной адаптации молодых людей на рынке труда.

the article is devoted to identifying the role of public youth organizations in the formation and manifestation of professional maturity in young people. The authors consider the concept of professional maturity, identify the main characteristics of this concept and analyze the impact of participation in public organizations on the formation of professional maturity in students. Particular attention in the work will be paid to the analysis of practical experience of students' participation in public youth organizations on the example of DSTU. Social activity at the university acts as one of the defining qualities of a person, which is created under the influence of activity, is socially significant motives and determines socially significant achievements. An analysis of public youth associations in the structure of DSTU was carried out; the reasons for motivation among students participating in public youth organizations were identified; the main advantages of student participation in public activities were determined. The main methods of the article are questionnaires and analysis. In conclusion, the authors come to the conclusion about the importance of participation in public youth organizations as a means of forming professional maturity and successful adaptation of young people in the labor market.
Использование игровых технологий по мотиву романа в жанре триллер при обучении иностранному языку
Authors: Белова Л.А. , Кроватти З.М. , Бондаренко С.Ю. , Камалова Н.Б.
Published: December 2024

в статье представлен обзор теоретических работ по проблеме применения игр в образовательном пространстве. Отмечается, что игровые технологии выделяются своей эффективностью и остаются востребованными при обучении иностранному языку. Игровая форма урока позволяет не только изучать язык, но и развивать критическое мышление и креативность. Авторы демонстрируют технолого-педагогические аспекты проведения игрового занятия по мотивам романа «Эреб» в жанре триллер австрийской писательницы У. Познански, в сюжет которого положена компьютерная игра. Цель исследования: проанализировать эффективность включения в урок иностранного языка работы с аутентичными текстами в игровой форме по правилам жанра триллер. Экспериментальное занятие было проведено со студентами факультета иностранных языков педагогического вуза и реализовано в процессе внеклассной деятельности с обучающимися старших классов гимназии с углублённым изучением немецкого языка. Результаты наблюдения показали, что все обучающиеся активно взаимодействовали друг с другом, что позволило им не только расширить знания по зарубежной литературе, улучшить навыки общения на иностранном языке, но и учиться работать в команде, развивать умение сотрудничества и улучшить аналитические способности.

the article presents an overview of theoretical works on the problem of using games in the educational space. It is noted that gaming technologies stand out for their effectiveness and remain in demand in teaching a foreign language. The game form of the lesson allows not only to study the language, but also to develop critical thinking and creativity. The authors demonstrate the technological and pedagogical aspects of conducting a game lesson based on the novel "Erebus" in the thriller genre by the Austrian writer U. Poznansky, the plot of which includes a computer game. The purpose of the study: to analyze the effectiveness of including work with authentic texts in a foreign language lesson in a game form according to the rules of the thriller genre. The experimental lesson was held with students of the faculty of foreign languages of the pedagogical university and implemented in the process of extracurricular activities with senior students of the gymnasium with in-depth study of the German language. The observation results showed that all students actively interacted with each other, which allowed them not only to expand their knowledge of foreign literature, improve their communication skills in a foreign language, but also to learn to work in a team, develop the ability to collaborate and improve their analytical skills.