bluuebunny/crossref_metadata_2025 huggingface dataset:
Adversarial attack study on VGG16 for cat and dog image classification task
Authors: Cui Chenrui
Published: March 2024

Contemporarily, adversarial attacks on deep learning models have garnered significant attention. With this in mind, this study delves into the effectiveness of adversarial attacks specifically targeted at the VGG16 model in the context of cat and dog image classification. Employing the Fast Gradient Sign Method (FGSM) for attack, the experimental findings reveal that, within a certain perturbation range, FGSM attacks can indeed reduce the model's average confidence, albeit with relatively minor impacts on accuracy. According to the analysis, the accuracy drops (decreased from 88.5% to 88.2%) is not significant, possibly due to limited classes. With small , perturbation results in a notable confidence drop. However, at higher , perturbation impact lessens, averaging around 50% confidence for cat and dog classes, indicating a 2-class scenario's upper limit in non-targeted FGSM attacks. Additionally, this research underscores the need for further exploration into various adversarial attack methods and model interpretability within the realm of image classification. Overall, these results shed light on guiding further exploration of adversarial attack defense strategies, holding significant potential for real-world applications in enhancing the robustness of AI systems against adversarial attacks.
Leveraging blockchain and graph neural network to enhance carbon emission trading: A decentralized and trustworthy approach
Authors: Zhang Qingsen
Published: March 2024

Carbon dioxide emissions are a major cause of climate change and its negative impacts on the environment and human well-being. To address this problem, a blockchain-based decentralized system for carbon emission trading is proposed, allowing anyone to trade carbon allowances as a commodity. The proposed system leverages the advantages of blockchain technology, such as transparency, immutability, and security, to enable efficient and trustworthy transactions among peers without intermediaries. Additionally, the system provides flexibility by enabling customization of permits, represented as Non-Fungible Tokens, thereby enhancing market accessibility and engagement. A graph neural network for identity inference is introduced to infer the attributes of accounts on the blockchain, such as their type and behavior. This can help detect and prevent illegal or malicious activities on the chain, as well as understand and improve user behavior patterns and preferences. The aim is to increase market inclusiveness and diversity, reduce transaction costs and carbon price volatility, and enhance the traceability and verifiability of carbon emissions.
Style transfer for converting images into Chinese landscape painting based on CycleGAN
Authors: Deng Bowen
Published: March 2024

Chinese landscape painting is a prevalent and unique mode of artistic expression within traditional Chinese art. It boasts intricate techniques and demands a relatively high level of artistic skill. Recent advancements in artificial intelligence have ushered in the era of image style transfer techniques, making it feasible to convert landscape photographs into stunning Chinese landscape paintings. In this study, the author has developed an image translation model that enables mutual transformation between images of landscapes and Chinese landscape paintings. This technology significantly reduces the difficulty of creating Chinese landscape paintings, allowing more ordinary people in China to experience and appreciate the joy brought by traditional Chinese art. Experimental results indicate that the style transfer model based on CycleGAN has achieved significant success in this scenario. The generated artworks successfully integrate the style of Chinese landscape painting into the original images without altering the original composition and details. As a result, the original photos gain a certain level of artistic value. Additionally, this study innovatively explores the goal of reverse restoration of Chinese landscape paintings into images, highlighting both the similarities and differences with the current research, thus laying the foundation for future studies.
Three-dimensional modeling and application based on UAV tilt photogrammetry technology
Authors: Hou Lijian
Published: March 2024

Amid the swift progression of digital and smart cities, the growing prominence of three-dimensional information, especially in architecture, stands out. Architecture, forming the urban area's crux, necessitates comprehensive and precise data acquisition and effective utilization for modeling. This aligns with the burgeoning emphasis on high-quality urban informatization. The advent of unmanned aerial vehicle (UAV) tilt photogrammetry technology serves as a burgeoning auxiliary method in this domain. This innovative approach enhances model accuracy through multi-angle sampling, presenting a substantial advancement in three-dimensional modeling and its applications. This document outlines a fundamental framework for three-dimensional modeling and provides an exhaustive explanation of each component. An analysis of existing deficiencies, accompanied by feasible and validated solutions, forms a crucial part of the discussion, addressing gaps and offering remedial measures for effective three-dimensional modeling. The paper further delves into the extensive applications of UAVs modeling, underscoring its significant impact in areas such as hazardous rock detection and rural development among other sectors. It highlights the pivotal role of UAV tilt photogrammetry in driving advancements in diverse fields, bolstering efficiency, accuracy, and reliability in three-dimensional modeling and its multifaceted applications, thereby contributing to the enhancement of urban informatization and the broader development agenda.
Analysis of stock forecasting based on LSTM
Authors: Zhang Jinzhao
Published: March 2024

The use of the long short-term memory (LSTM) machine learning algorithm for stock prediction is widely used contemporarily. This study the feasibility of price prediction based on LSTM. This study first collected extensive data on stock prices, including the closing prices, volumes, and other relevant indicators, for several companies. Then, it implemented an LSTM-based model using this data, which was trained on a dataset containing historical stock price information over a fixed period. The models performance was evaluated using a separate test set. Based on the analysis, LSTM is successful in forecasting stock a remarkable degree of precision, rendering it an invaluable asset for investors aiming to make well-informed investment choices. Its ability to capture long-term dependencies and patterns within time series data makes it an ideal choice for forecasting future trends in financial markets. By leveraging this model, investors can gain valuable insights into potential market movements and adjust their investment strategies accordingly. Overall, the promising results obtained from applying LSTM-based models highlight their potential value in supporting investors' decision-making processes and ultimately improving investment outcomes.
Prediction of consumers' purchase intension for electric vehicles based on machine learning model
Authors: Yang Junyi
Published: March 2024

In recent years, electric cars have gradually begun to attract consumers' attention, and car companies have gradually shifted their research and development focus to electric cars instead of conventional cars. As a matter of fact, how to accurately predict consumers' desire to purchase their own electric cars is a problem that still needs to be solved and addressed. With this in mind, this study uses improved SVM, CNN and LSTM models for horizontal comparison, and attempts to use machine learning models to solve this problem. According to the analysis, the experimental results show that the machine learning model is suitable for predicting consumer purchase desire, and the prediction accuracy of SVM is higher than the other two models. This paper uses this experiment to provide reference for relevant car companies that need to know consumers' purchasing desires. Overall, these results shed light on guiding further exploration of electric vehicles car purchase intention prediction.
Green Writing and Elemental Poetic: A Postcolonial Ecocritical Reading of Tim Winton
Authors: Muhammad Suzana Haji , Zhu Qian
Published: March 2024

This article will draw a connection between postcolonial green writing and Winton’s poetic natural space, where the material world and imagination coexist, and emphasize the unity between elemental essence and the essence of the everyday lifeworld, through examining the manifestation of the four perennial elements in the works of Tim Winton. It finds that Winton’s works explore the depiction of four crucial elementary matters in his works, as well as a discourse initiated regarding the potential of literature to foster ecological awareness. Referring to postcolonial ecocriticism and Bachelard’s elemental poetics, it argues that Winton’s writing is in line with these two theories and aims to read Tim Winton’s works as a carrier of environmental concern and demonstrate an effort to save the worsening planet.
Políticas Públicas sobre a Saúde Menstrual no Brasil: Olhares pelas Lentes dos Movimentos Sociais da Menstruação
Authors: Prado Isabel Cristina de Almeida
Published: March 2024

O objetivo deste artigo é demonstrar como a pauta da menstruação esteve, por décadas, fora da agenda pública. Mesmo tendo sido criado recentemente o Programa de Proteção e Promoção da Saúde e Dignidade Menstrual, as pautas ampliadas em torno da menstruação, propostas por ativistas menstruais e militantes pela dignidade menstrual, permanecem fora do debate e das políticas públicas, que centralizam suas ações na distribuição de absorventes higiênicos. Por meio de metodologias de revisão narrativa e análise documental, realizou-se um levantamento das políticas públicas para a saúde das mulheres, dos projetos de lei sobre a dignidade menstrual e da atuação de movimentos sociais da menstruação no Brasil. Como resultado, observa-se que as políticas públicas sobre menstruação podem ser beneficiadas ao se incorporarem às reivindicações dos movimentos sociais analisados, com vistas à equidade de gênero, à emancipação de meninas, mulheres e demais pessoas que menstruam e, ainda, para a superação do tabu menstrual.
Planning and modelling of local integrated energy systems: Tools and strategies for the (local) renewable energy transition
Authors:   , Johannsen Rasmus Magni
Published: March 2024

The immense challenge of transitioning the energy system in response to global climate change calls for meticulous energy planning and ambitious energy strategies at all scales of planning. Cities, municipalities, and local communities are increasingly seeking ways to contribute to the renewable energy system transition and developing their own local energy strategies. Combined with the on-going decentralisation of the energy system, it is evident that energy planning has progressed from being a primarily centralised task to being one that involves all scales of planning. Energy system modelling is used to develop multiple tangible energy system futures in the form of energy system scenarios, and it is becoming an integral part of planning for the renewable energy transition. However, recent literature suggests that methods and tools specifically for the local scale are lacking as they have traditionally been designed for national energy system analysis. This thesis provides insight into energy planning practices at the local level, uncovering challenges and exploring new methods and approaches for further application of energy system modelling.
Association between meeting the 24-hour movement guideline and anxiety status in Chinese school-aged adolescents
Authors: Zhou Xiaogang , Shafrin Ahmad Nor , Zamri Khairani Ahmad , Chen Yongqian
Published: March 2024

Background/Objective: Adherence to the 24-hour movement guidelines (24-HMG) and various favorable health outcomes has been extensively documented; however, its relationship with anxiety among school-aged adolescents in China remains less explored. This study aims to examine the association between complying with the 24-HMG and anxiety status among school-aged adolescents in China.Methods: Cross-sectional data on movement behavior, encompassing physical activity, sedentary behavior, and sleep, were collected through the Health Behavior School-aged Children Survey from 670 adolescents (mean age=13.57±0.98). Anxiety was self-reported using the Self-Rating Anxiety Scale. Logistic regression was employed to assess the association between meeting the 24-HMG and anxiety status.Results: Only 2.1% of participants met all three 24-HMG, while 26.0% did not meet any of the recommendations. Additionally, 8.2% of participants reported experiencing anxiety. Logistic regression analyses indicated a significant association between adherence to the sedentary behavior guidelines (Odds Ratio [OR] = 0.301, p < 0.05), sleep guidelines (OR = 0.260, p < 0.005), or both (OR = 0.168, p < 0.005), and a reduced likelihood of anxiety compared to non-adherence. Conversely, adherence to none of the 24-HMG was significantly associated with an increased likelihood of anxiety (OR=3.343, p<0.05), highlighting a greater probability of experiencing anxiety among these individuals compared to those who adhered to the guidelines.Conclusion: Only a minority of Chinese adolescents adhere to healthy movement behavior guidelines. It is important to consider the holistic approach of 24-HMG in mitigating anxiety among school-aged adolescents in China. Encouraging more high-quality research is essential to identify the correlates of movement behaviors in adolescents and design effective interventions.
Application of Gamma Irradiation in Groundwater Treatment Using Different Techniques
Authors: El-Toony Mohmamed M , Rajab Ahmed H , Eid Ghada A , Maziad Nabila M
Published: March 2024

The different pollutants in the groundwater can be successfully excluded using potential gamma irradiation. Smart gamma irradiation coupled with ozonation can degrade most of the organic pollutants. Many pollutants’ parameters can be managed, such as total organic carbon (TOC), total dissolved solids (TDS), chemical oxygen demand (COD), biological oxygen demand (BOD), and turbidity. The disinfection of many bacterial cells has been successfully performed besides the deactivation of rotavirus. Based on this manner, the simulated triclosan (TC) can be completely degraded using two techniques of irradiation: reduction and oxidation status. The metals polluting the understudied groundwater can be nearly completely removed by using gamma irradiation under reduction conditions. The applied gamma irradiation can precipitate metal ions such as cadmium, mercury, and lead (in atomic form) in the simulated wastewater, and groundwater. Different patterns seriously influenced the metal ions removal, such as different hydroxyl scavenges and sample gassing with different gasses (hydrogen, nitrogen, and air). This technique results in metal ions decontamination yielding 99.4%, 97.8%, and 96.9%, for cadmium, mercury, and lead ions respectively at the optimum conditions.
Methylomic change in TET1 and TET2 promoters is increased in children with acute lymphocytic leukemia
Authors:   Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, El Sadat City, Egypt, Refaai Rofaida , Ragab Dina ,   Department of Clinical Pathology, Faculty of Medicine, Ain Shams University, Cairo, Egypt, Guirgis Adel A. ,   Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, El Sadat City, Egypt, Khalil Hany ,   Department of Molecular Biology, Genetic Engineering and Biotechnology Research Institute, University of Sadat City, El Sadat City, Egypt
Published: March 2024

Objective: Methylomic changes have been recognized as essential contributors to the development of acute lymphocytic leukemia (ALL). While ALL has traditionally been considered a genetic disease, the increasing importance of epigenetic alterations in leukemogenesis has become evident. Here, our goal was to investigate the changes of DNA methylation level in ALL. Methods: To assess the DNA methylation pattern in ALL, we quantified gene expression of the methylation-related factors, including DNMTs, methionine synthase (MS), and the demethylation factors, TET gene family using qRT PCR. Results: The expression pattern of DNMTs, including DNMT1, DNMT3a, and DNMT3b, was markedly upregulated in samples derived from patients. On the contrary, the expression of the methyl creator, methionine synthase (MTR gene) was down-regulated in samples derived from children with ALL which revealed low concentration of vitamin B12 in their samples. The reduced expression of MTR in children with ALL reveals the disturbance of homocysteine and DNA methylation. Moreover, we examined the expression patterns of TET1, TET2, and TET3 genes implicated in the demethylation process. We found an evident decreasing level of TET1 and TET2 expression in ALL that may refer to an increasing DNA methylation activity in the promoter of the TET gene family. Conclusion: These data suggest the possible alteration in methyaltion-related factors due to methylomic changes within the promoter of TET1 and TET2 genes.
Performance Analysis of Buried Natural Gas Pipeline under Uneven Settlement Action
Authors: Wang Shijie , Chen Yanhua , Chen Haibin , Zhang Zhenying
Published: March 2024

This paper uses ABAQUS software, considering the nonlinear contact of pipe soil and buried soil material, and studies the simulation experiment of X100 steel pipe under uneven settlement conditions. The influence of settlement, internal pressure and wall thickness on the strain of steel pipe are discussed. The results show that compared with the internal pressure, the wall thickness has a greater impact on the deformation, the increased wall thickness can effectively reduce the maximum pressure strain, and the maximum pressure strain position will move to the axial direction. Deformation analysis and prevention of X100 steel pipe under uneven settlement conditions are very important, which will play a positive role in improving the safety and reliability of the pipeline and avoiding potential safety accidents.
Damage Identification of Curtain Wall Cables based on Improved VMD and Hilbert Transform
Authors: Liu Yujie
Published: March 2024

Cable is an important role in Curtain wall cable structures. In order to detect cable damage in a timely and accurate manner, this paper focuses on the problem of non-stationary nonlinear vibration information and mode mixing in Empirical Mode Decomposition (EMD) itself. Based on the damage detection method combining Variational Mode Decomposition (VMD) and Hilbert Transform (HT), further parameter optimization is carried out. This method determines the penalty factor and decomposition level K by searching for the minimum envelope entropy. VMD is used to decompose the vibration information into different BIMF components, and then Hilbert transform is applied to the extracted components to obtain the corresponding marginal spectrum. cable damage identification is performed based on the modal anomaly index. This article confirms through local damage analysis of a single cable that this method can effectively identify the damage location and degree of the cable.
Research on Industry Integration Development under the Background of "Internet + Regional Tourism" in Liaoning Province
Authors: Liu Hong , Ji Yan
Published: March 2024

The purpose of this paper is to discuss the development of industrial integration in Liaoning Province under the background of "Internet + Regional Tourism" and analyze the existing problems. Firstly, the integration of traditional tourism and Internet technology is not deep enough, which limits the innovation and development of tourism; secondly, the integration of regional tourism resources is not sufficient, which leads to the unsatisfactory utilization rate and value realization of the resources; finally, the lack of industrial chain makes the efficiency of industrial integration lower. By studying and analyzing these problems in depth and putting forward corresponding countermeasures and suggestions, the development of tourism in Liaoning Province can be promoted and the development process of industrial integration can be promoted.
Influence of Core Wall Type on Crack Resistance of Core Wall
Authors: Liu Bo
Published: March 2024

The hydraulic fracturing resistance of asphalt concrete core wall mainly depends on physical and mechanical factors such as the material of the core wall and the geometric size of the core wall. Three types of core wall types, such as equal thickness type, gradient type and stepped type, are often used in practical engineering. In order to study the influence of core wall types on the cracking resistance of the core wall, Duncan Zhang E-B model is used to conduct finite element numerical simulation of five different core wall types. By analyzing the stress deformation of the center wall of different schemes, it is concluded that the equal thickness core wall has the best anti-hydraulic splitting performance without considering the engineering cost.
Study on Adopting Free Voluntary Reading in English Vocabulary Teaching of Senior High School based on Krashen’s Input Hypothesis
Authors: Hu Chenxi
Published: March 2024

Vocabulary is a basic language unit, the vocabulary size of students directly impacts their performance in English listening, speaking, reading and writing. Therefore vocabulary plays a critical role in language teaching and learning. Based on Krashen’s Input Hypothesis, the use of free voluntary reading during second-language acquisition is considered as a powerful tool in language education. The connotation and features of input hypothesis theory will firstly be analyzed, and then followed by the introduction of Free Voluntary Reading(FVR), and the last comes some specific strategies when adapting FVR.
The Impact of Digital Transformation on the High-quality Development of the Manufacturing Industry
Authors: Wu Xianfeng , Cai Yaru
Published: March 2024

The digital transformation of manufacturing industry facilitates enterprises to access and utilize data information to improve the efficiency of resource allocation, expand product and service business models, and accumulate human capital stock to empower the high- quality development of manufacturing industry by creating a large number of databases. This paper adopts panel data of 30 provinces and cities in China from 2011-2020, and uses system GMM to verify the correlation between two variables. It also introduces environmental regulation as a threshold variable to analyze the threshold effect. The results of the study indicated that: firstly, the association between digital transformation of manufacturing industry and high-quality development of manufacturing industry shows a U-shaped relationship, secondly, the digitalization of manufacturing industry exhibits different impact effects on the four dimensions of high-quality development of manufacturing industry, and lastly, only when the environmental regulation is within a certain level, it can have a driving effect on high-quality development of manufacturing industry. Therefore, it is important to grasp the strategic opportunities of digital economy, strengthen the integration of digital economy and traditional industries, accelerate the digital transformation of manufacturing enterprises, and improve the high-quality development of China's manufacturing industry.
Preparation and Study of EPDM Composites with High Volume Resistance Retention Rate
Authors: Wang Yunfei
Published: March 2024

LDPE/ EPDM composites were prepared by mechanical blending method. The effects of two compatibilizers MA/Zn and CPE on the vulcanization properties, mechanical properties, aging resistance and electrical properties of the composites were studied. The results showed that the addition of two kinds of compatibility significantly improved the compatibility of LDPE and EPDM. Compared with CPE, the addition of MA/Zn can improve the properties of the composites better. The mechanical and electrical properties of the composite were improved by the addition of MA/Zn compatibilizer. The volume resistivity of sample L3M2 is the highest at room temperature and 125 ℃, which are 19.8×1013Ω·m and 16.8×1012Ω·m, respectively. Compared with L3, the increase was 26.1% and 25.8%, respectively. The tensile strength is 14.1MPa, which is 90.5% higher than L3.
UTILIZAÇÃO DE JOGO COMO FERRAMENTA PARA PROMOVER APRENDIZAGEM SIGNIFICATIVA NO ENSINO DE CIÊNCIAS
Authors: Oliveira Lenilson Rodrigues de , Carvalho Alberto Sousa , Macêdo Luana Priscilla Rodrigues , Santos Anna Beatriz Pereira dos , Almeida Tiago dos Reis , Santos Antonio Marcos Lopes dos , Sousa Yasmin Silva , Marinho Karlos Daniel
Published: March 2024

O ensino de ciências requer a utilização de jogos didáticos como ferramenta de ensino alternativas às tradicionais, com o intuito de motivar a interação e aprendizagem, uma vez que o lúdico facilita a aprendizagem dos alunos e colabora para a socialização e comunicação. Para tanto, concebemos um formato de ilustrar o material didático nas aulas, por meio do desenvolvimento do projeto de extensão: criação de textos de divulgação científica, jogos e utilização do stop motion como ferramenta para promover uma aprendizagem significativa no ensino de química. Dessa forma, o objetivo do projeto era desenvolver um conjunto de materiais didáticos que auxilie nas aulas de ciências, sendo apresentados em escolas, por meio de palestras. Destacando que o foco neste trabalho é referente ao jogo produzido no projeto cujo objetivo era fazer com que os discentes aprendessem o nome e o símbolo dos elementos que compôem os macronutrientes e micronutrientes necessários para o desenvolvimento das plantas. Após a explanação das temáticas relacionada com material, os discentes foram divididos em 6 grupos com 5 integrantes, sendo relevante destacar que foi realizada uma análise qualitativa e uma descrição detalha de cada um dos tópicos abordado no questionário para observar se houve ou não aprendizagem antes e após aplicação do jogo. Em síntese observou-se que por meio da utilização da ferramenta metodológica os alunos tiveram mais facilidade de aprender os simbolos e os nomes, assim o jogo promoveu uma aprendizagem significativa, participação, curiosidade, e interesse dos alunos.
Block Chain-Assisted Privacy-Preserving Similarity Image Retrieval Over Cloud
Authors:   Department of CSE, Dr.Mgr Educational And Reseach Institute,Chennai,Tamil Nadu,India, P Vamsi
Published: March 2024

With the advancement of digital technology, there has been an exponential increase in the storage of photographs across numerous servers. However, this proliferation of data raises concerns about integrity and reliability, particularly in multi-cloud environments. Existing research on content-based image retrieval has overlooked the challenges posed by untrustworthy cloud servers, hindering effective multi-cloud retrieval. Typically, centralized search servers are introduced in multicloud systems to facilitate image retrieval. Unfortunately, these centralized servers may produce inaccurate or incomplete results, compromising search precision and potentially impacting business interests. Furthermore, cloud servers themselves may exhibit dishonest behavior by tampering with or deleting images to conserve resources, leading to data loss and false image decryption.To address these issues, we propose a solution that ensures both the accuracy of search results and the integrity of images in multi-cloud environments. Our approach involves employing a single-image retrieval technique using blockchain technology to verify both the authenticity of search results and the integrity of stored images. We evaluate the effectiveness of our approach using real-world data, demonstrating its precision and efficiency in combating both over-retrieval and image manipulation. Keywords: Accuracy, Integrity, Privacy Protection, Block Chain, False/Incomplete Results, Multi-Cloud Retrieval, Central Search Server
GEOSILENCE – LOCATION TRIGERRED DEVICE MUTING
Authors:   Student, Computer Science and Engineering, Bannari Amman Institute of Technology, Tamil Nadu, India, S Dhanasekar
Published: March 2024

Mobile devices have become an integral part of human lifestyle. The convenience offered by mobile devices usage can’t be denied. However, there are growing concerns about the disturbances caused by usage of mobile devices. One of the concerns is the disturbances caused by ringing sound of mobile devices at places that require silence such as mosque, library, cinema, and meeting room. Mobile device owners often forget to turn on silence mode on their devices in these places. To overcome such problem, this paper proposes an auto-notification application for mobile device using geofencing technique. Geofencing technique is used to detect virtual boundary that have been preset around required places. When a user enters the particular place, the application will detect that the user’s mobile device has crossed the virtual boundary and will automatically notify the user to turn the silence mode on the device. The opposite process will happen when the user crosses the boundary to exit the place. The main advantage of the application is that it will remind mobile device users to mute their devices when they are entering places that require silence. Nearly everything around us holds significance, be it data, expensive items, land, people and/or animals. It is essential that we keep all that matters to us safe and secure. To employ the highest form of security, we want to keep track of all the significant things on our own. This gives rise to the need for the meantime tracking o anything which is highly valuable to us. Hence, GPS tracking is employed in this technological solution to keep track. Innovative technology, based on telematics and satellite positioning, is the subject of this study on geofencing. With the use of geofencing technology, users can create virtual boundaries in the context of the actual world. By automatically detecting when monitored mobile items enter or leave geographical areas that are encircled by a virtual fence, it aids in the surveillance of those areas. A geofence is a virtual barrier that is set up around a specific region of interest utilizing several technologies, including Wi-Fi, cellular mobile, RFID, and GPS. A specific radius area on the map can be specified by the user. If any entry or exit is made from that location, they will be updated in real time. This assures the asset's safety and security and provides a system for inspection to deter any unwanted activity. Keyword : Auto notification,Cellular mobile, Geofencing, GPS, Mobile device, RFID, Window phone.
Assessment of Scholarly Attainment in Student Academic Performance
Authors:   Professor, Department of Computer Technology, K.K. Wagh Polytechnic, Nashik, Maharashtra, India, P. A Miss. Agrawal
Published: March 2024

This study delves into the intricate relationship between scholarly attainment and student academic performance within modern educational environments. Drawing upon a robust analysis of existing literature and empirical data, the research seeks to establish a nuanced and comprehensive understanding of the multifaceted factors that contribute to students' scholarly achievements. The study adopts a mixed-method approach, strategically blending quantitative analyses with qualitative inquiries to explore various dimensions of scholarly attainment, including but not limited to critical thinking abilities, research skills, and proficiency in academic writing. By employing this comprehensive methodology, the research aims to unravel the intricacies of how different educational practices and interventions impact students' scholarly development. Through meticulous examination and interpretation of data, the study endeavours to uncover patterns, trends, and correlations that shed light on the dynamics between scholarly attainment and academic performance. The overarching goal of this research is to offer valuable insights and actionable recommendations for educators, policymakers, and stakeholders in the field of education. These insights can inform the design and implementation of innovative teaching methodologies, curriculum enhancements, and support systems that foster holistic academic growth among students. Ultimately, the study aims to contribute to the cultivation of a culture of scholarly excellence within educational institutions, promoting continuous improvement and advancement in educational outcomes. Key Words: Scholarly Attainment, Academic Performance, Educational Settings
WATER PUMP CONTROL BY LORA FREQUENCY
Authors:   Mechanical Engineering, Vishwakarma Institute of Technology, Pune, Shinde Dr.Sunil
Published: March 2024

This study investigates the use of LoRa frequency modulation in agricultural settings for water pump control systems. The paper explores the adaptability and efficacy of LoRa technology in tackling important issues associated with resource optimization, environmental monitoring, and water management in agriculture through an extensive examination of the literature. The research demonstrates how LoRa may transform current farming processes by facilitating data transfer, automation, and monitoring across a range of agricultural setups. Additionally, based on particular application needs, the comparative study of LoRa frequencies at various MHz ranges provides insights into well-informed decision-making for frequency selection. An essential component that enables remote monitoring, automation, and data-driven decision-making to improve productivity, sustainability, and resource efficiency in agriculture is the integration of IoT devices with LoRa technology. The focus on security measures highlights how crucial it is to protect private agricultural data from online attacks. Even with encouraging results, security, scalability, and reliability issues still exist, requiring more study and development to improve network efficiency, hone communication protocols, and find new uses for LoRa in agriculture. Through the perspective of LoRa technology, this study advances knowledge and use of IoT solutions for agricultural sustainability. Key Words: Lora frequency modulation, water pump, agricultural IoT, environmental optimization.
SPEECH RECOGNITION SYSTEM
Authors:   Artificial Intelligence and Machine learning Department., Kazi Sara
Published: March 2024

Speech recognition technology has witnessed remarkable progress in recent years, fueled by advancements in machine learning, deep neural networks, and signal processing techniques. This paper presents a comprehensive review of the current state-of-the-art in speech recognition systems, highlighting key methodologies and breakthroughs that have contributed to their improved performance. The paper explores various aspects, including acoustic modeling, language modeling, and the integration of contextual information, shedding light on the challenges faced and innovative solutions proposed in the field. Furthermore, the paper discusses the impact of large-scale datasets and transfer learning on the robustness and adaptability of speech recognition models. It delves into recent developments in end-to-end models and their potential to simplify the architecture while enhancing accuracy. The integration of real-time and edge computing for speech recognition applications is also explored, emphasizing the implications for practical implementations in diverse domains such as healthcare, telecommunications, and smart devices. In addition to reviewing the current landscape, the paper provides insights into future prospects and emerging trends in speech recognition research. The role of multimodal approaches, incorporating visual and contextual cues, is discussed as a potential avenue for further improvement. Ethical considerations related to privacy and bias in speech recognition systems are also addressed, emphasizing the importance of responsible development and deployment. By synthesizing current research findings and anticipating future directions, this paper contributes to the evolving discourse on speech recognition technologies, providing a valuable resource for researchers, practitioners, and industry professionals in the field. Key Words: Real-time processing , Machine learning , Deep neural networks , Technology advancements , Contextual information , Large-scale datasets Transfer learning , End-to-end models , Real-time processing Edge computing , Multimodal approaches Ethical considerations , Privacy , Bias , Future prospects Research review.
IMPLEMENTATION OF CSR (CORPORATE SOCIAL RESPONSIBILITY) IN INCREASING THE IMAGE OF PT PERTAMINA
Authors: Lestari Fina Tri , Suryatimur Kartika Pradana
Published: March 2024

This research aims to find out the implementation of the CSR (Corporate Social Responsibility) program carried out by PT. Pertamina (Company) in order to improve the company's image. The research strategy employed is qualitative in nature. This research was not conducted to test the hypothesis between the two research variables, but rather to describe the extent to which CSR programs implemented by PT. Pertamina can contribute to the enhancement of the company's image. This study's data is derived from the 2021 annual report of PT. Pertamina, which was obtained from IDX, as well as articles and other documents relevant to the research topics. On the basis of the research findings, it can be concluded that PT. Pertamina has implemented its CSR program in accordance with its vision and mission. The implementation of CSR by PT. Pertamina has a significant impact on the enhancement of the company's image, reputation, and credibility. In this case, what PT. Pertamina has to do is improve the implementation of the programs being carried out so that it can expand the target development of the CSR programs being carried out and more people will benefit, re-mapping of the community's economic conditions before and after program implementation, and the need for regular monitoring and evaluation processes to obtain feedback in an effort to increase program benefits in the future.
THE EFFECT OF SOLVABILITY ON ASSET MANAGEMENT ON THE OBLIGATION OF SALATIGA CITY GOVERNMENT
Authors: Saputri Septia Ragil , Sari Kamala Aprelia , Bharata Risma Wira
Published: March 2024

The financial statements of local governments include assets that represent their economic wealth, which are presented in the balance sheet. However, the balance sheet of Salatiga City's local government financial statements shows an increase in inventory, long-term investments, fixed assets, and other assets. This study aims to examine the financial condition of the Salatiga City area and assess the Salatiga City Government's ability to fulfill its debts or obligations using the solvency ratio. The research method employed in this study is quantitative with a descriptive approach, involving the analysis of numerical data through calculations. The results indicate that the financial condition of the Salatiga City Regional Government demonstrates optimization in the management of current assets, as evidenced by a decrease in the solvency ratio. However, the Salatiga City Regional Government should implement strategies and improve the management of current assets and cash to enhance its ability to meet short-term and long-term financial obligations. The decline in asset value in 2021 in the Salatiga City Regional Government can be attributed to a decrease in current assets and cash.
THE INFLUENCE OF USING INSTAGRAM ON CYBERBULLYING BEHAVIOR IN ADOLESCENTS AT SMK NEGERI 18 JAKARTA SCHOOL
Authors: Nugroho M. Aulia Adi , M. Sopyan
Published: March 2024

With the increasing popularity of social media platforms like Instagram, it is crucial to understand the relationship between platform usage and cyberbullying behavior in order to promote a safe online environment for adolescents. This study aims to investigate the impact of using Instagram online media on cyberbullying behavior among teenagers at SMK 18 Jakarta. A quantitative approach is employed, utilizing a correlational method to examine the relationship between at least two factors. The study population consists of all students attending SMKN 18 Jakarta in grades 10, 11, and 12 in 2020, with a total of 210 students. The sample size of 100 students is determined using purposive sampling techniques. Data collection techniques include questionnaire deployment, field observation, interviews, and literature review. Validity and reliability testing are conducted using the Person Product moment correlation technique, and the data are analyzed using SPSS version 23. The study findings reveal that Instagram usage significantly influences cyberbullying behavior. The coefficient of determination analysis reveals that the Instagram variable explains 53.8% of the variance in cyberbullying behavior, while the remaining 46.2% can be attributed to other factors not examined in this study. This research highlights the need to address cyberbullying on Instagram and promote responsible social media usage among teenagers. Strategies should be developed to increase awareness of the impact of cyberbullying and foster empathy among users. Educational initiatives and support systems can help mitigate the negative effects of cyberbullying and create a safer online environment for adolescents.
THE EFFECT OF BURNOUT AND SOCIAL SUPPORT ON EMPLOYEE PERFORMANCE AT PT. SULSELBAR BANK
Authors: Nureni  , Budiyanti Hety , Haeruddin M. Ikhwan Maulana
Published: March 2024

Employee burnout in modern work environments is a growing issue, impacting performance and well-being. Burnout, involving emotional exhaustion and reduced accomplishment, negatively affects employees. Conversely, social support from colleagues and supervisors offers protection against burnout and enhances performance. This study aims to examines the impact of burnout and social support on the performance of employees at PT. Sulselbar Bank. The research follows a quantitative approach and includes a sample of 110 employees. Data collection was done through a questionnaire, and the analysis involved validity and reliability tests, multiple regression analysis, classic assumption tests, T-tests, and F-tests. The findings indicate a negative relationship between burnout (X1) and employee performance (Y), while social support (X2) has a positive influence on employee performance. The multiple linear regression equation is expressed as Y = 31.664 + (-0.394)X1 + 0.358X2. The t-tests show significant results with t- statistic values of -2.584 for X1 and 3.950 for X2, exceeding the t-table value of 1.982. The significance levels are 0.011 for X1 and 0.000 for X2, both below 0.05. Additionally, the F-test demonstrates a significant relationship between the variables, with an F-statistic of 11.102 exceeding the F-table value of 3.08, and a significance level of 0.000 below 0.05. As such, this study highlights that burnout negatively and significantly affects employee performance, while social support has a positive and significant impact. Both burnout and social support jointly and significantly influence employee performance, emphasizing the importance of addressing burnout and fostering a supportive work environment.
THE INFLUENCE OF HUMAN RESOURCES DEVELOPMENT ON THE PERFORMANCE OF THE STATE CIVIL APPARATUS IN THE AGENCY OF PERSONNEL AND HUMAN RESOURCES DEVELOPMENT IN THE CITY OF MAKASSAR
Authors: Permatasari Nilam , Hasbiah Sitti , Kurniawan Agung Widhi , Musa Chalid Imran , Haeruddin M. Ikhwan Maulana
Published: March 2024

The effective development of human resources plays a crucial role in enhancing organizational performance. In today's competitive environment, organizations recognize the significance of investing in the development of their employees to achieve sustainable success. The Makassar City Regional Personnel and Human Resource Development Agency, like many other institutions, seeks to optimize the performance of its State Civil Apparatus (ASN) employees. However, limited research has specifically explored the relationship between human resource development and employee performance within this context. This study aims to investigate the influence of human resource development on the performance of ASN employees at the Makassar City Regional Personnel and Human Resource Development Agency. The study utilizes primary and secondary data from a sample of 69 individuals. A quantitative approach is employed, and the data is analyzed using simple linear regression analysis. Questionnaires were distributed to the ASN employees, and various analysis techniques were applied, including validity and reliability tests, classical assumption tests, heteroscedasticity tests, hypothesis testing (T test), and coefficient of determination. The findings reveal a significant positive influence of human resource development on employee performance. This implies that increased levels of HR development led to improved employee performance. Therefore, it can be concluded that human resource development significantly affects the performance of ASN employees at the Makassar City Regional Personnel and Human Resource Development Agency.
ANALYSIS OF THE INFLUENCE OF SERVICE QUALITY ON PATIENT LOYALTY AT BUNDA LIWA MOTHER AND CHILD HOSPITAL IN WEST LAMPUNG
Authors: Paramartha Vip , Rulia Rulia , Pratama Duarsa Habibi Adhi
Published: March 2024

Patient loyalty is an important factor that hospitals need to remain able to survive amidst increasingly fierce competition. For this reason, it is important to analyze the factors that influence patient loyalty, one of which is service quality. This research aims to evaluate the influence of various factors such as tangibility, responsiveness, assurance, empathy, and reliability on patient loyalty, exploring both their individual and combined effects. The theoretical framework guiding this study is based on principles of hospital management. Using a descriptive and verification analysis approach, quantitative data was collected through questionnaires distributed to 72 participants, selected through accidental sampling. Data analysis employed multiple linear regression analysis conducted with SPSS 26 software. The results of the descriptive analysis revealed that TERRA at RSIA Bunda Liwa West Lampung was rated as good to excellent, with average scores for Tangible (4.35), Empathy (4.25), Responsiveness (4.28), Reliability (4.28), and Assurance (4.45). Patient Loyalty (4.30). The verification analysis demonstrated a significant and positive correlation between tangibility, empathy, responsiveness, reliability, assurance and patient loyalty when considered individually. Moreover, when considered collectively, these factors were found to collectively exert a positive and significant impact on patient loyalty.