bluuebunny/crossref_metadata_2025 huggingface dataset:
Flexible English Learning Platform using Collaborative Cloud-Fog-Edge Networking
Authors: Chen Sian , Tang Linqiang
Published: September 2023

In the modern age, developing practical online learning tools for English language learners is challenging due to existing systems’ shortcomings. These systems often need proper instructional design, are well-connected to motivational theories, and have limited infrastructure for data sharing, leading to poor learning outcomes and low motivation. To tackle these issues, a new approach called OAELT has been proposed in this paper. OAELT is an Online Assisted English Learning Tool that uses the Fuzzy Analytical Hierarchy Process (FAHP) and collaborative cloud-fog-edge networking to create a flexible learning design that adapts to the needs and preferences of individual learners. Using the FAHP approach, OAELT provides an improved learning experience by tailoring its design to each learner’s unique needs. The collaborative cloud-fog-edge networking approach uses each computing layer’s strengths to deliver a personalized and seamless learning experience. OAELT employs adaptive and dynamic approaches within a flexible instructional paradigm to ensure effective instructional design. This paradigm facilitates collective learning data exchange across cloud, fog, and edge computing layers. The effectiveness of OAELT was evaluated using a descriptive statistics approach, which included a five-dimension questionnaire for students covering cognition, emotion, action, cooperation, and literacy. The results demonstrated that OAELT could enhance learning effectiveness and motivation while providing a flexible and seamless learning experience. According to the experimental data of the proposed model, 46.8% of learners often read English magazines and newspapers to improve their flexibility in English learning. Additionally, 50.4% classified and memorized English according to their categories, while 59% of learners often used context to memorize. These findings suggest that the traditional methods for flexible English learning are not adequate, and the average score of the student’s methods and strategies is mediocre. However, after using OAELT, some students have been able to use different learning curricular reading. Overall, OAELT’s integration of cloud-fog-edge computing with a flexible English learning design can create a more effective and personalized learning system that addresses the challenges of modern learning.
Analysis, Prediction and Classification of Skin Cancer using Artificial Intelligence - A Brief Study and Review
Authors: Pandala Madhavi Latha , S. Periyanayagi
Published: September 2023

World Health Organization (WHO) records that skin cancer has vigorously affected people in recent decades. Worldwide, many people are affected by skin cancer, and its affected count will increase yearly. Hence, skin cancer has become a threatening disease. Skin cancer prediction at an earlier time is becoming the higher priority and most challenging task worldwide. A computer-based diagnosis is needed to perform the automatic prognosis of skin cancer. It assists dermatologists in many ways, including the prediction of skin cancer at the earlier stages, easy to diagnose and effective. Nowadays, artificial intelligence based machine learning approaches have been implemented for an early prediction of cancer in the skin through medical images. This paper is focused on a detailed, comprehensive review of skin cancer analysis, forecast, and algorithmic-based procedures for classifying skin diseases. Moreover, this review paper focused on various stages of algorithm approaches for skin tumor detection like pre-processing data, segmenting data, feature selection, and disease classifier. This detailed review of neoplasm diseases like cancer on the skin is done based on machine and deep learning algorithms to help further research.
Privacy and Security Enhancement of Smart Cities using Hybrid Deep Learning-enabled Blockchain
Authors: Awotunde Joseph Bamidele , Gaber Tarek , Prasad L V Narasimha , Folorunso Sakinat Oluwabukonla , Lalitha Vuyyuru Lakshmi
Published: September 2023

The emergence of the Internet of Things (IoT) accelerated the implementation of various smart city applications and initiatives. The rapid adoption of IoT-powered smart cities is faced by a number of security and privacy challenges that hindered their application in areas such as critical infrastructure. One of the most crucial elements of any smart city is safety. Without the right safeguards, bad actors can quickly exploit weak systems to access networks or sensitive data. Security issues are a big worry for smart cities in addition to safety issues. Smart cities become easy targets for attackers attempting to steal data or disrupt services if they are not adequately protected against cyberthreats like malware or distributed denial-of-service (DDoS) attacks. Therefore, in order to safeguard their systems from potential threats, businesses must employ strong security protocols including encryption, authentication, and access control measures. In order to ensure that their network traffic remains secure, organizations should implement powerful network firewalls and intrusion detection systems (IDS). This article proposes a blockchain-supported hybrid Convolutional Neural Network (CNN) with Kernel Principal Component Analysis (KPCA) to provide privacy and security for smart city users and systems. Blockchain is used to provide trust, and CNN enabled with KPCA is used for classifying threats. The proposed solution comprises three steps, preprocessing, feature selection, and classification. The standard features of the datasets used are converted to a numeric format during the preprocessing stage, and the result is sent to KPCA for feature extraction. Feature extraction reduces the dimensionality of relevant features before it passes the resulting dataset to the CNN to classify and detect malicious activities. Two prominent datasets namely ToN-IoT and BoT-IoT were used to measure the performance of this anticipated method compared to its best rivals in the literature. Experimental evaluation results show an improved performance in terms of threat prediction accuracy, and hence, increased security, privacy, and maintainability of IoT-enabled smart cities.
General Layout Planning Model of Landscape Ceramic Sculpture Based on NSGA - Ⅱ Algorithm
Authors: Feng Henan , Zheng Liqun , Qiao Shuang
Published: September 2023

The current overall layout planning model matrix of landscape ceramic sculpture is generally unidirectional, and the planning efficiency is low, resulting in a decline in the layout optimization ratio of the model. Therefore, the design and verification analysis of landscape ceramic sculpture’s overall layout planning model based on the Nondominated Sorting Genetic Algorithm (NSGA - II) algorithm is proposed. According to the actual planning needs and standards, first set the basic layout points, establish a cross-planning matrix in a multi-level manner, and improve the efficiency of the overall layout planning of the sculpture. The NSGA - II calculation landscape ceramic sculpture layout planning structure is constructed on this basis, and the model design is realized by level conversion. This novel NSGA-II with level conversion performs better layout planning when compared with other conventional models. The final test results show that through three stages of layout optimization processing, compared with the initial planning layout, the optimal layout optimization ratio for the setting of the plaza sculpture can reach more than 60%, indicating that with the help of this method, the layout planning of sculpture has been further improved, the space has been expanded, and has practical application value.
Evaluation of Curriculum Implementation Effectiveness of Higher Vocational Education Based on Collaborative Filtering Algorithm
Authors: Wang Hao , Li Huiyan
Published: September 2023

The conventional evaluation method for the effectiveness of curriculum implementation mainly focuses on the complete orientation analysis of students’ curriculum content, which does not reflect the value of the educational curriculum and affects the effectiveness of evaluation. Therefore, an evaluation method of curriculum implementation effectiveness of higher vocational education based on a collaborative filtering algorithm is designed. Identify the practical focus of evaluating the implementation of the higher vocational education curriculum and discover the educational curriculum’s significance. Qualitative evaluation of curriculum implementation degree based on collaborative filtering algorithm, find out the hidden characteristics of curriculum implementation evaluation to effectively evaluate higher vocational education curriculum implementation. Using case analysis, it is verified that the method is more effective and can be applied in real life.
A Method for Online Monitoring Data Release of Composite Submarine Cable Based on Horizontal Federated Learning
Authors: Lao Xinli , Zhang Jiajian , Gao Chuanlian , Deng Huakun , Wei Yanlei , Liu Zhenzhong
Published: September 2023

Conventional online composite submarine cable monitoring data release mostly adopts the method and principle of blockchain dynamic zoning consensus. In the data release process, there are omissions, and it takes a long time to complete the task, which reduces the timeliness of online composite submarine cable monitoring data release. Based on this, a new data publishing method is proposed by introducing horizontal federation learning. First, the online monitoring data of composite submarine cables are collected and preprocessed to eliminate the high-frequency capacitive effect of submarine cables. Secondly, manage composite submarine cable data nodes, transform the status relationship of data nodes, and ensure the quality of subsequent data release. A horizontal federation learning model is established to design the online monitoring data release process. The experimental results show that the new data release method is highly feasible. With the increasing online monitoring data of composite submarine cables, the time required for data release is short, and the timeliness is high.
Real-time Monitoring Method of Insulation Status of Photoelectric Composite Submarine Cable based on Thermoelectric Coupling
Authors: Lao Xinli , Zhang Jiajian , Gao Chuanlian , Deng Huakun , Wei Yanlei , Liu Zhenzhong
Published: September 2023

The existing approach for monitoring the insulation state of photoelectric composite submarine cables primarily relies on detecting the current of the cable protection layer. However, this conventional method suffers from limited monitoring accuracy due to the absence of parameter identification processing for the cable. As a result, there is a need to improve the monitoring methodology by incorporating robust parameter identification techniques to enhance the accuracy of insulation state evaluation. In this regard, a real-time monitoring method based on thermoelectric coupling is proposed to monitor the insulation status of the photoelectric composite submarine cable. By constructing an equivalent composite circuit model and a thermodynamic function, a thermoelectric coupling model is constructed and used to identify the parameters of the submarine cable; by extracting the frequency extremes in the spectral values of the submarine cable current signal, an equivalent insulation characteristic function is constructed to realize the determination of the insulation state. The proposed method is verified for the insulation state monitoring effect in the experiment. The experimental results show that when the proposed method is used to monitor the insulation state of the photoelectric composite submarine cable, the calculated partial discharge quantity has a small error, and the monitoring accuracy is high.
Intelligent Element Layout Algorithm of Ceramic Design Drawing Based on Genetic Algorithm
Authors: Li Xinqing , Li Juan , He Qin
Published: September 2023

Conventional intelligent layout algorithm of ceramic design drawing elements mainly uses density distribution method to obtain ceramic design drawing element units, which is vulnerable to the influence of pattern density, resulting in a low distribution balance of design drawing elements. Therefore, a new intelligent layout algorithm for ceramic design drawing elements needs to be designed based on a genetic algorithm. That is, combining the characteristics of ceramic design drawing elements, the intelligent parting structure of ceramic design drawing elements is constructed, and then the brilliant layout model of ceramic design drawing elements is designed using genetic algorithm. The experimental results show that the developed intelligent layout algorithm of ceramic design elements has a high distribution balance, which proves that the designed intelligent layout algorithm of ceramic design elements has good performance, reliability, and certain application value, and has made specific contributions to improving the aesthetic quality of ceramic design drawings.
The Effect of Online and Offline Sports Safety Education combined with MOOC Platforms in Physical Education Teaching in Colleges and Universities
Authors: Gao Yuan
Published: September 2023

In light of Internet+, how to make network technology better serve the educational cause needs more exploration. The online and offline hybrid education model that integrates MOOC is a new attempt. The sports safety of college students is the premise for the smooth development of sports activities. Therefore, a mixed teaching mode of sports safety combined with MOOC is designed to evaluate the teaching effect. However, under this teaching mode, the commonly used teaching effect evaluation methods cannot adhere to formative evaluation standards. Consequently, to better evaluate the MOOC teaching mode, a model for evaluating instructional effects based on RF mixed teaching mode is constructed. Aiming at the defects of RF in data processing, a genetic algorithm and particle swarm algorithm are used to optimize random forest. The outcomes demonstrate that the enhanced PSO-RF evaluation model has a 98.68% accuracy rate, which is 5.44% and 3.49% higher than the RF and GA-RF model respectively. Therefore, the enhanced PSO-RF-based teaching effect assessment model can better assess the mixed teaching mode in sports safety, meeting the evaluation requirements for students’ learning effects.
Distribution Network Planning Method considering the Coupling of Transportation Network and Distribution Network
Authors: Song Zhuoran , Li Jianfeng , Jiang Tao , Lu Sichen
Published: September 2023

This paper introduces a novel distribution network planning method that addresses the limitations of conventional approaches. The existing methods primarily focus on optimizing component objectives using reliability analysis, which results in inadequate operational power control performance due to neglecting the coupling degree analysis of distribution network subprojects. To overcome this limitation, the proposed method incorporates the coupling of the traffic and distribution networks into the planning process. The method involves modeling the transportation network and analyzing the coupling characteristics of the planning items. Specifically, the energy efficiency coupling degree is calculated to assess the degree of coupling. Based on this analysis, the planning nodes are strategically deployed, and a comprehensive planning model is constructed. The model is then subjected to constraints and solved to obtain an optimal distribution network planning scheme. To evaluate the effectiveness of the proposed method, experiments are conducted to assess its operational power control capability. The experimental results demonstrate that when the proposed method is employed for distribution network planning, it reduces operating power and achieves a more desirable planning outcome. The novelty of this work lies in integrating the coupling analysis of the traffic network and the distribution network into the planning process. Considering the interdependencies between these networks, the proposed method enables a more comprehensive and efficient distribution network planning scheme. This approach enhances operational power control performance and improves the overall effectiveness of distribution network planning.
Application of improved Apriori Algorithm in Innovation and Entrepreneurship Engineering Education Platform
Authors: Wu Xuanyuan , Xiao Yi , Liu Anhua
Published: September 2023

The implementation of innovation and entrepreneurship education is inseparable from professional education, so it is important for the rich data in the education platform to mine the connection between professional courses and between grades and courses. The study of association rule algorithm based on education data mining improves the time performance efficiency and accuracy of Apriori algorithm. The study improves the time efficiencies of Apriori algorithm by maintaining Map table and splitting transaction database; the accuracy is improved by using mixed criteria to measure the accuracy and filtering deformation rules based on the inference of confidence. The results of the validation of the time efficiency of the algorithm show that the running time of the improved algorithm in solving frequent itemsets is improved by about 93.86%, 92.48% and 92.76%, respectively, compared with the other three algorithms. The running time of the algorithm for generating frequent itemsets of all orders is about 91.35 ms, which is 66.13% and 83.72% better than the Apriori algorithm and AprioriTid algorithm, respectively. The mining results of student examination data based on the education platform are reasonable and practical, which are of good practical significance for the innovation and entrepreneurship engineering education platform to develop training plans and improve teaching quality.is assumed.
Application of Improving ABC in Cold Chain Low Carbon Logistics Path Planning
Authors: Bai Xiazu
Published: September 2023

The market has set higher efficiency and environmental requirements for cold chain logistics, and path planning plays an important role. This study proposes a low-carbon cold chain logistics path planning model based on an improved artificial bee colony algorithm (this paragraph refers to ”fusion algorithm”). The study first establishes the fusion algorithm. Then, in response to the shortcomings of this algorithm, the artificial fish swarm algorithm and genetic algorithm are used to improve it. The final results express that the shortest distance for solving Eil51 using this algorithm is 421.38, the longest distance is 448.58, and the average distance is 439.34; The shortest distance for solving Ulysses22 is 72.46, the longest distance is 73.63, and the average distance is 72.84. The average convergence times for Eil51 and Ulysses22 are 133.57 and 7.86, and the optimal performance ratios for relative error are 0.0076 and 0.0051. The robust performance ratios are 0.0362 and 0.0117. The optimal total cost solution and the average value for solving the relevant distribution problem are 47,894.6 yuan and 48,562.7 yuan, respectively. In summary, the model proposed in the study has good application effects in cold chain low-carbon logistics path planning, and has a certain promoting effect on the development of cold chain logistics.
Design of Sentiment Analysis Framework of Digital Media Short Text Based on Multi-pattern Sentiment Lexicon
Authors: Lin Shuqin
Published: September 2023

Along the continuous advancement of the network and the rise of digital media, the amount of data produced by the exponential explosion. And how to use these data to provide personalized services for users is one of the current research focuses. To address the issue of insufficient coverage in the current sentiment lexicon and the difficulty of constructing sentiment lexicon in specific fields, this study proposes a multi-modal emotional thesaurus. Semi-supervised learning is used to solve the problem of insufficient coverage of emotional thesaurus, and a semi-supervised classification algorithm is realized by using a large number of unlabeled sample data combined with a small number of labeled sample data. Optimized learning is used to solve the problem of difficult construction of emotional thesaurus in specific fields, the corresponding specific emotional thesaurus is constructed by adaptive adjustment of emotional word score, and finally the improved emotional thesaurus is used to build a digital media short text sentiment analysis framework. For testing, the NLPCC dataset was used in this study, Experiments show that the framework constructed in this study requires 87 iterations, a Recall value of 0.912, a F1 value of 0.753, and an average accuracy of 83.39%, all of which are better than the sentiment analysis framework without the use of multi-pattern sentiment lexicon. In the simulation experiment, the recognition accuracy reached 85.88%, which was 16.85%, 11.57% and 6.72% higher than the test scenarios using a single emotion thesaurus selected in this study. The above results show that the digital media short-text sentiment analysis framework built in this research based on multi-pattern sentiment lexicon can carry out short-text sentiment analysis more accurately and efficiently, so as to accurately analyze users’ needs and provide customized services precisely.
Spacecraft Test Data Integration Management Technology based on Big Data Platform
Authors: Gong Nanqi
Published: September 2023

In this paper, a general test platform for spacecraft data management is designed and constructed. This paper introduces a portable software development environment based on LUA. The technology of space environment data management, comprehensive analysis, parameter correction and visual display of spacecraft is realized. The relationship between continuity, mixed dispersion, variation and indication of remote sensing data is studied. This project uses the integrated Long Short Term Memory network (LSTM) technology to detect anomalies in satellite remote sensing observation data. Give full play to the advantages of laser scanning tunneling microscope in the nonlinear field. The combination of this method and the matrix method can improve the adaptive ability of spacecraft in an operation state to better identify abnormal information in remote sensing data. Experiments show that the algorithm can significantly improve the anomaly detection rate of the system. The system can monitor the front test device and record the data. The method can be connected with the space vehicle’s central control and automatic test system. The comprehensive management of the integrated test system of space vehicles is realized.
Improving Bert Model Accuracy for Uni-modal Aspect-Based Sentiment Analysis Task
Authors: Chauhan Amit , Mohana Rajni
Published: September 2023

Techniques and methods for examining users’ feelings, emotions, and views in text or other media are known as ”sentiment analysis,” this phrase is used frequently. In many areas, including marketing and online social media, analysis of user and consumer opinions has always been essential to decision-making processes. The development of new methodologies that concentrate on analysing the sentiment associated with specific product characteristics, such as aspect-based sentiment analysis (ABSA), was prompted by the need for a deeper understanding of these opinions. Despite the growing interest in this field, some misunderstanding exists about ABSA’s core ideas. Even though sentiment, affect, emotion, and opinion refer to various ideas, they are frequently used synonymously. This ambiguity commonly causes user opinions to be analysed incorrectly. This work provides an overview of ABSA and the issue of overfitting. Following this analysis, we improved the model by enhancing the accuracy and F1 score of the existing model by fine-tuning the technique. Our model outperformed the others, achieving the best results for the restaurant dataset with an 85.02 accuracy and a 79.19 F1 score, respectively.
Preferences of public space users towards trees and other forms of greenery in Lublin's old town
Authors: Trzaskowska Ewa , Renda Joanna , Adamiec Paweł , Kułak Agnieszka
Published: September 2023

Currently, the functions of the historical parts of cities are more and more oriented towards the visitors rather than residents. The high density of cultural heritage objects attracts tourists for whom restaurants and shops are created. Therefore, the management and planning of the historic parts of cities has become an increasing challenge. At the same time, activities aimed at improving the quality of life in the city centre, including the most built-up historical parts, require the introduction of greenery (Kowarik, 2019). In order for such spaces to be effective, we require a greater understanding of user preferences. The aim was to define preferences regarding the presence and use of various forms of greenery and their acceptance in the space of the old town. We also asked a question about the functions of the greenery. The study was conducted using an online survey in Lublin, Poland. The method of virtual development of 4 public spaces presenting various forms of greenery in a built environment was used. It was found that the presence of green elements and their form are very important. Trees in particular have a strong influence on preferences, suggesting that they deserve more attention in historical spaces in cities. Flower beds, plants in pots are accepted. The results show that the current level of development is unsatisfactory, and the respondents point out the need to introduce more greenery. Respondents' preferences related to greenery forms depend mainly on gender and age. Especially women and younger age groups preferred spaces with aesthetically attractive elements, such as flowering herbaceous plants in pots. Most of the respondents declared the use of space as places of rest and recreation, and indicated the climatic, ecological and aesthetic functions as important factors in assessing historical spaces in cities. The results should be taken into account by specialists in urban design in historical spaces subject to revitalization.
Making Post-Dystopian Future Possible: Alternative Policies for Bytom
Authors: Mihaylov Valentin , Zuzańska-Żyśko Elżbieta
Published: September 2023

This article follows the argument that urban dystopia is reserved not only for the sphere of the fictional but also as a state of reality that academic methods can capture and describe. Taking the example of the city of Bytom, a traditional centre of coal mining in Southern Poland, the article discusses four spheres where the dystopian present is clearly visible – namely, the four elements that led Bytom to a socio-economic and spatial collapse: depopulation, social polarisation and ghettoisation, degradation of the urban fabric and mining damage. Apart from showing empirical evidence, the article critically considers the possibilities of a post-dystopian urban future for the city. A discussion of possible policy answers to these dystopian trends is based on two possible visions of how the urban future could look. First, the semi-dystopian vision assumes that the expected direction and the results of current policies will lead to some improvement in the quality of the urban environment and the residents’ quality of life. Second, the post-dystopian future is based on an optimistic vision, which assumes that a post-dystopian future is possible. However, the desired salvation from the dystopian present will not come about through the search for new utopian visions. It will rely instead on the improvement and mitigation of some of the substantial social, economic and environmental problems that exist and continue to present an unbreakable social image.
Code and Data Repository for Monte Carlo Methods for Economic Capital
Authors: Li Yajuan , Kaplan Zachary T. , Nakayama Marvin K.
Published: September 2023

This repository contains following folders: data, results, src. data: includes data needed for the PCRM (portfolio credit risk model) code. results: contains figure and table results for both PCRM and i.i.d. sum model. src: includes two folders. The folder "PCRM" contains the codes for portfolio credit risk model in the paper, which are written in python. The other folder "IID" contains codes for i.i.d. sum model, which are written in matlab.
Ecological Footprint Assessment of Hospitals in Solan City of Himachal Pradesh
Authors: Rajput Tanvi , Aggarwal R K , Bhardwaj D R , Sankhyan H P
Published: September 2023

This study was carried out in selected hospitals of Solan Town of Himachal Pradesh to assess the ecological footprint which appraised the load of different components namely electricity, water, food, material, transportation and biomedical waste, imposed by the hospitals on the natural environment. The total ecological footprint of all four selected hospitals of Solan town viz., Regional Hospital, Shiva Hospital, City Hospital and Sai Sanjivni Hospital was found to be 1553.75 gha 100.10 gha, 165.44 gha and 185.31 gha respectively during the year 2021. Transportation and material components registered the highest contribution towards the Ecological Footprint (EF) of the Hospitals and the lowest contribution was made by biomedical waste and electricity components. The maximum Ecological Footprint per area (6.02 gha) was exhibited by Sai Sanjivni Hospital and the minimum (0.75 gha) by the Regional Hospital. The sum Ecological Footprint for all the selected Hospitals was 2004.6 gha, whereas the average bio-capacity per capita was 0.0095 gha. It was concluded that the Ecological Footprint of all selected hospitals exceeded bio-capacity, resulting in un-sustainability. The hospitals had extremely poor bio-capacity, making it hard for them to keep up with the expanding footprints.
Evaluation of the Drought Trend Alongside of Change Point: A Study of the Purulia District in West Bengal, India
Authors: Raha Shrinwantu , Deb Sayan
Published: September 2023

Since the drought is a significant issue in India, therefore, the scientists should pay close attention in order to manage it. Purulia District experienced the drought on numerous occasions in the past ten years, but the accurate and definite conclusions have not arrived yet. Hence, the Standardized Precipitation Index (SPI) for the 34 years (1979–2014) was utilised in this research together with the change point to evaluate the annual and seasonal drought in the Purulia District. Theil Sen's slope and the Mann-Kendal (MK) test were both employed to determine the trend and its’ magnitude. A trend-free pre-whitening technique was used to remove the influence of lag-1 correlation data from the series. The 1988-89 was marked as the best probable single change (shift) point in the time series of SPI. By calculating the percentage deviation from the SPI's mean trend, the magnitude of the change was calculated. The percentage change of Sen's slope and MK test was high (+ve) at the eastern parts of Purulia, whereas it was observed as the smallest at the southern parts of the region. Thus, it could be concluded that the drought had begun to spread to the study region's eastern sections after the change point. As Purulia is dependent on agricultural crop production, this research would significantly contribute to agricultural planning following the local level management of crop water and rain-water harvesting. Therefore, this research is extremely important for the drought risk management on a regional scale.
Farmers' Awareness Towards TNAU -AAS Web Cum Mobile App for Western Agro Climatic Zone (ACZ) of Tamil Nadu
Authors: Sembanan Kokilavani , Subbiah Ramanthan , Ganesan Dheebakaran , Karuppasamy Sathyamoorthy Nagaranai , Albert Janakirani
Published: September 2023

A survey was conducted in Coimbatore, Western ACZ of Tamil Nadu purposively with 240 farmers using well-structured interview schedule by convenient sampling method to assess the utility behaviour of smart phones. The frequency and percentage analysis was used to analyse the data .Age and education influenced the farmers to know about the appropriate technological interventions in agriculture. Easy access to updated information was higher with smart phones (83 %) and 80 % respondents use mobile app to know about weather forecast. Regarding the App handling skill, 92% could download the app from the play store, 83 % could enter the basic details, 74 % could enter the crop details, 67 % could access the message delivered and 59 % could follow up the messages in the app respectively. The overall satisfaction of AAS was realized by 79 % of the respondents in the study area. Harnessing the full potential of ICT-enabled solutions in agriculture was made possible by the current study.
Ecotourism: A Holistic Assessment of Environmental and Socioeconomic Effects towards Sustainable Development
Authors: Kumar Suneel , Hasija Naina , Kumar Varinder , Sageena Geetanjali
Published: September 2023

Ecotourism has garnered substantial scholarly and public interest as an environmentally conscious and sustainable variant of tourism with the primary objectives of fostering conservation efforts, facilitating community advancement, and safeguarding cultural heritage. This study presents a comprehensive analysis of the impacts of ecotourism on sustainable development, specifically focusing on the environment, economy, and society. The results reveal that ecotourism can have both positive and negative impacts on these three dimensions of sustainability. Positive impacts include environmental conservation, local economic development, and community involvement, while negative impacts include environmental degradation, economic leakage, and social disruption The study emphasizes the importance of carefully planning and managing ecotourism activities to reduce negative effects and enhance positive outcomes. Community involvement, environmental education, and long-term monitoring and evaluation are identified as key strategies for enhancing the sustainability of ecotourism projects. The study also identifies areas for future research, including the long-term impacts of ecotourism, social and cultural dynamics, and the integration of technology into ecotourism activities. Overall, this study contributes to the understanding of the complex relationships between ecotourism and sustainable development and provides insights for policymakers and practitioners to develop and manage ecotourism projects in a way that maximizes their potential to contribute to sustainable development. The significance of ecotourism stems from its capacity to facilitate sustainable development through the concurrent pursuit of biodiversity conservation, education, awareness enhancement, community empowerment, cultural heritage preservation, adoption of sustainable methodologies, provision of alternative livelihoods, allocation of resources for conservation initiatives, and cultivation of global consciousness. Through a comprehensive evaluation of both environmental and socioeconomic impacts, ecotourism assumes a pivotal role in the attainment of a more sustainable future. It is imperative for ecotourism endeavors to encompass a comprehensive approach that acknowledges the intricate facets elucidated in the present discourse, thus enabling the establishment of sustainable paradigms that can advantageous to local populations, environmental integrity, and economic viability. Given ecotourism's prominence, assessing its effectiveness for sustainable development and refining practices and legislation is imperative. While not a universal solution, it’s potential to foster sustainability merits careful attention.
Multitemporal Analysis of Land Use/Cover Changes and Landscape Fragmentation in Murshidabad District of West Bengal, India
Authors: Mustaquim Md. , Islam Woheeul
Published: September 2023

Rapid population growth, human migration, and commercial activities are changing land use and Land cover at a faster rate. The human being's need and greed to sustain themselves alter the earth's natural environment, and that change affected us. However, poor and unmanageable land conversion led to severe environmental effects. For planning and management purposes, precise information regarding land use and its characteristics is required to ensure the sustainability of the area. The current study uses multi-temporal satellite images to analyze the decadal change from 1991 to 2021. Supervised image classification is performed using the Maximum likelihood classifier. The main goal of this study is to compare post-classification results using change vector analysis and analyze human impact on the environment using FRAGSTAT. Fragstat is a widely used software program designed for analyzing spatial patterns in categorical maps. It is commonly employed in landscape ecology, conservation biology, and land management studies. The primary purpose of Fragstats is to quantify and assess the composition and configuration of patches or landscape elements within a given area. The built-up area increased from 2.57% to 8.41% over the past 30 years, while the agricultural land decreased from 83.51% to 70.05%. It was observed that the density of patches and percentage of landscape reduction over time, the rise in the number of patches for agricultural class from 3570 in 1991 to 10173 in 2021 indicates that spatial diversity is increasing in the class with higher levels of anthropogenic disturbances. Moreover, in landscape-level indices, the number of patch and landscape shape index increases, and a fall in the largest patch index indicate that the landscape is becoming more complicated and fragmented. To achieve the sustainable land-use planning and safeguard natural ecosystems and biodiversity from anthropogenic activities, land-use change maps are utilized as an early warning system.
Türk Edebiyatında Parnasyen Şâirlerin Türk Mûsikîsine Yansıması
Authors: OKCU Semih
Published: September 2023

Türk edebiyatında Parnasyen şairlerin en çok kullanmış oldukları imgeler doğrultusunda mûsikî unsurlarının incelendiği bu çalışmamızda, ilk olarak Parnasizm akımı hakkında bilgiler verilmiş ve bu akımın tesiri altında kalmış Türk edebiyatındaki temsilcileri olan Yahya Kemal Beyatlı ve Tevfik Fikret hakkında genelden özele olacak şekilde bilgiler aktarılmıştır. Edebi ve mûsikî sanatların disiplinlerarası yapısından faydalanılarak oluşturulan bu çalışmanın veri toplama sürecinde nitel araştırma yöntemi kullanılmıştır. Bu süreç akabinde literatür taraması yapılarak, ilgili makale, kitap, tez ve web kaynaklarından yararlanılmıştır. Elde edilen verilerin analiz süreci doğrultusunda Yahya Kemal Beyatlı’nın “deniz” imgesi kullandığı; Dün kahkahalar yükseliyorken evinizden, Perestij, Geçmiş Yaz, Ses, Mevsimler, İstinye, Gece, Kar Mûsikîleri, Sessiz, Gemi, Şu kopan fırtınalar ve Süleymâniye’de Bayram sabahı, Dalgın Geceler ve Çubuklu Gazeli adlı şiirlerinin, Tevfik Fikret’in ise Hân-ı Yağmâ, Haluk’un Sesi, Küçük Asker ve Çal Meleğim adlı bestelenmiş şiirlerinin mûsikîye yansıma biçimi ele alınmıştır. Elde edilen çıkarımlar ise sonuç kısmına aktarılmıştır.
Damlanın Yolculuğuna Farklı Bakışlar: Seyr ü Sülûk ve Monomit Çerçevesinde Âşık Dâimî’nin Bir Şiiri
Authors: FİDAN Süleyman , AYDOĞAN Gülbeyaz
Published: September 2023

Yol ve yolculuk kavramları farklı sanat dalları tarafından çeşitli şekillerde tasavvur edilmiştir. Bu çeşitliliğe rağmen yolculukla alakalı birçok anlatıda ortak motifler bulunmaktadır. Bu çalışmada üzerinde durulmak üzere tasavvuf öğretisine ait olan seyr ü sülûk ve Campbell tarafından ortaya koyulan monomit kuramı çerçevesinde gelişen kahramanın sonsuz yolculuğu kavramları seçilmiştir. Bu iki kavramın yolculuk tasavvurları üzerindeki benzerlikler değerlendirilerek Âşık Daimî’nin Bir Gerçeğe Bel Bağladım şiiri incelenmektedir. İslam inancının doğması, beraberinde tasavvuf kültürünü Müslümanların yaşama şekline, ahlâk kurallarına ve kişiliğine yön veren bir kültüre dönüştürmüştür. Bu süreçte tarikatlar ortaya çıkmaya başlamış ve bununla beraber tarikattan tarikata farklılık gösteren tasavvufî ritüeller görülmüştür. Tasavvuftaki amaç sülûk ederek hakikate ulaşmaktır. Sülûk etmek, mürşid-i kâmil adı verilen bir kişinin önderliğinde, tasavvuf gönüllüsü olan sufinin Tanrı’ya ulaşmayı hedef edindiği yolda uygulaması lazım gelen kurallar bütünü seyr ü sülûk kavramı ile ifade edilir Yolculuk denildiğinde karşımıza çıkan diğer kavramlardan birisi ise Monomit kuramıdır. Campbell; Monomit ismini verdiği yapıdan yola çıkarak kahramanların izlediği yolları formülize etmiş ve bu yöntemle ortaklıkları çözümlemiştir. Monomit kuramının özellikle klasik anlatıya bağlı kalan eserlerin çoğunluğunda uygulanabileceği görülmektedir. Bu çalışmanın amacı Âşık Dâimî’nin Bir Gerçeğe Bel Bağladım eserini, tasavvuf kültüründe seyr ü sülûk yapan bir salike bakışla ve Campbell’ın Monomit kuramındaki kahramanın yolculuk evrelerine bakış olarak iki farklı pencereden incelemektir. Çalışmanın ilk bölümü, Âşık Dâimî’nin Bir Gerçeğe Bel Bağladım eserini tasavvuf kültüründeki seyr ü sülûk yapan salik bakışıyla incelenmesini kapsar. Bu yaklaşıma göre eserde geçen damlanın ırmağa karışması, damlada evreni bulması ve yine kendine dönmesi vahdet-i vücûd anlayışını göstermektedir. Daha sonraki kısım Âşık Dâimî’nin Bir Gerçeğe Bel Bağladım eserini, Campbell’ın Monomit kuramındaki kahramanın sonsuz yolculuğu bakışıyla incelenmesini kapsamaktadır. Bu yaklaşıma göre eserde yolculuğu anlatılan salik bir kahraman olarak düşünülüp yola çıkış-erginlenme-dönüş başlıkları altında incelenmiştir. Bu çalışma hazırlanırken devriye türü, tasavvuf anlayışı ve tasavvuf anlayışındaki seyr ü sülûk kavramları incelenmiştir. Çalışılan eserle bu kavramlar çözümlenmiştir. Daha sonraki aşamada Campbell’ın Monomit kuramı, kuramın çeşitli eserlere uyarlanışı incelenmiş ve söz konusu eserle birleştirilmiştir. Sonuç olarak bir edebi metin kahramanı veya derviş olsun, erginlenme seyahatinde ortak evrensel izler yer almaktadır.
Letonya’nın Uyanışı: Jāzeps Vītols’un Letonya Halk Şarkıları Fantezisi Eserinin Ulusal Müzik Bağlamında Temsili
Authors: EKER Burak , MARAL Hakkı Alper
Published: September 2023

Letonya, tarihi süreç içinde farklı etnik grupların bir arada yaşadığı bir bölge olmuştur. Bu etnik çok çeşitlilik, kültürel anlamda büyük bir zenginlik sunsa da, bölge üzerindeki yönetimsel hâkimiyet mekanizmalarının isteği doğrultusunda, yıllar içinde Alman kültürü egemen olmuştur. Letonya’nın kültürel anlamda özgün karakteri ise ulusal akımların bir sonucu olarak yirminci yüzyılda araştırılmaya başlanmıştır. Almanya’da ortaya çıkan ve “Genç Almanyalılar” hareketinin uzantısı olarak yapılan bu çalışmalar, Sovyetler Birliği döneminde yürütülen Ruslaştırma politikaları doğrultusunda sekteye uğramıştır. Ulusal kültürün ortaya çıkarılması amacını taşıyan çalışmalarda ön plana çıkan alanlardan biri de halk müziği olmuştur. Letonya’nın kültürel farklılığını yansıtan ve pagan inancı üzerinden yaşam biçimini aktaran “Daina” isimli şarkıların, hem metin hem de ezgi bakımından içinde oldukça zengin bir malzeme barındırdığı görülmüştür. Letonya’nın en önemli bestecilerinden biri olan Jāzeps Vītols da bu ezgilerin derlenmesinde görev almıştır. Vītols’un, ulusal bestecilik okulunun ilk temsilcilerinden biri olarak Letonya müziğini yansıttığı eserlerinden biri de keman ve orkestra için bestelemiş olduğu Letonya Halk Şarkıları Fantezisi isimli eseridir. Bu çalışmada Letonya’nın tarihsel süreç içindeki konumu ile birlikte ulusal uyanış sonucunda kültürel bir özne olarak halk müziğinin ortaya çıkışı ve dönemin yaygın bir uygulaması olarak Orta Avrupa müziği gelenekleri dâhilinde bir yapıta aktarılması durumu incelenmiştir. Bölgenin tarihi ve ulusal kültürle ilgili yapılan araştırmaların müziğe yansıması durumu ile birlikte Letonya halk müziğinin karakteristik özellikleri belirlenerek Vītols’un ilgili eserinin incelenmesi ve bahsedilen bakış açısı çerçevesinde eserdeki folklorik öğelerin varlığını ortaya koymak amaçlanmıştır. Bu çalışmada betimsel araştırma modeli temelinde ilişkisel etnografi deseni kullanılmıştır. Nitel araştırma yöntemlerinden doküman analizi yöntemi kullanılarak ilgili bilgiler derlenmiş ve elde edilen veriler betimsel analiz tekniği ile değerlendirilmiştir. Çalışmanın sonucu itibariyle elde edilen veriler incelendiğinde, Vītols’un Letonya Halk Şarkıları Fantezisi eserinde, halk müziğindeki belirli ezgileri ve bu ezgilerin çeşitli varyantlarını kullanması sonucunda Letonya halk müziği karakterini aktardığı saptanmıştır.
Graphic Design of 3D Animation Scenes Based on Deep Learning and Information Security Technology
Authors: Tang Jiao
Published: September 2023

This paper aims to use the improved Generative Adversarial Network (GAN) model for Three Dimensional (3D) animation graphic design, improve the efficiency of 3D animation graphic design, and promote the accuracy of model recognition. It acquires 3D animated scene color images from different perspectives. This paper performs 3D visualization through point clouds, outputs high-quality point cloud results, and uses Convolutional Neural Network (CNN), Earth-Mover (EM) distance, and Least Squares Method (LSM) to improve the GAN model. Finally, the effectiveness of the improved GAN in the graphic design of 3D animation scenes and the effects of different improved models in generating 3D animation scene images are analyzed. The results show that the computational loss amplitude of the improved GAN model using Label Smoothing processing deep convolutional neural network is between [2, 3]. The generator loss variation is smaller, and the image quality of the generated 3D animation scene is gradually improved. The training process of the LSM-improved model is more stable, and the loss value is lower than that of the EM distance improved model. The loss value of the generator is [0.3,0.5], and the loss value of the discriminator is [0.1,0.2]. The Inception score of the LSM-improved model is 0.0297 higher than that of the CNN-improved model and the EM distance improved model and 0.0198 higher than that of the GAN model.
JOÃO GRILO: SÍNTESE E TRANSPARÊNCIA DO ANTI-HERÓI POPULAR
Authors: Souza Araújo Jorge
Published: September 2023

Estudo das variantes do anti-herói popular, centrado na personagem João Grilo, na literatura de cordel e no Auto da Compadecida, de Ariano Suassuna.
UEFS - UMA PROPOSTA, UMA CONVOCAÇÃO
Authors: Silva Mello Josué
Published: September 2023

Discurso proferido pelo Magnífico Reitor quando de sua posse, em 15 de maio de 1991, no Anfiteatro do Campus da UEFS, em solenidade presidida pela Profº. Dirlene Matos Mendonça, Secretária da Educação e Cultura. No ato, estiveram presentes: funcionários, professores e alunos da UEFS, além de membros de vários órgãos e da comunidade feirense.
N. 10 - APRESENTAÇÃO
Authors: Oliveira Lopes Raymundo Luiz
Published: September 2023

Iniciada a trajetória, a revista Sitientibus, delineia o caminho a partir do significado expresso no lema “Aos que têm sede", facilitando passos, sem amarrá-los ou apressá-los, deixando-os à decisão própria, gestos decididos ao encontro da Fonte. E é desse jeito que ela se propõe a guardiã da Fonte, circulando-a, enamorando-a, buscando os frutos, cuidando da semeadura e da colheita, e, fortalecente e fortalecida, estabelece-se, ainda que os revezes inerentes ao processo que envolve pessoas e coisas.