bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-task Cascaded Convolutional Neural Network Face Recognition in Robot SAR (Socially Assistive Robot)
Authors: Prihatini Ekawati , Muslimin Selamat , Thoriq Noval Al
Published: February 2024

This study intends to create a Face Recognition system for a Socially Assistive Robot (SAR) created especially for autistic youngsters. Autism is a developmental disease that has varied degrees of impact on social interaction, speech, and behavior. In order to address the developmental deficits in autistic children, early intervention is essential. Children with autism require the right kind of therapy to help them manage their anxiety, develop their social skills, and sharpen their concentration. In this study, Multi-task Cascaded Multi-task Cascaded Convolutional Neural Network(MTCNN) facial recognition technology is used to classify and identify the emotions of autistic children. The technology has the ability to record and recognize children's faces, gauge a child's level of autism, categorize their emotions, and offer the proper support. Previous studies have indicated that it is possible to identify children with autism through their facial expressions. It is anticipated that by using Face Recognition technology on a SAR, autistic youngsters will make progress in their treatment and will feel better emotionally and be more motivated. This research serves as a foundational step in the creation of technologies that can improve the quality of life for kids with autism.
TWISTS AND TURNS OF PROBLEMS AND CHALLENGES IN THE WORLD OF EDUCATION REGARDING THE IMPACT OF INSTANT CULTURE ON TECHNOLOGICAL DEVELOPMENT IN THE POST MODERN ERA
Authors:   Doctor of Theology Studies, STT Anugrah Indonesia-Surabaya, Budiatmaja Rudy , Dully Stefanus ,   STT Anugrah Indonesia-Surabaya
Published: February 2024

Problem of education in the modern era is not only limited to systems, methods and strategies, but more about how to prepare future generations. The phenomenon in the modern era shows that the younger generation is growing up with an individualistic and pragmatic attitude. So that many graduates of educational institutions are trapped in understanding their teachings more deeply, so that the priority of the world of education, which is actually very broad, becomes stagnant and narrow because it is only for themselves. Researchers use qualitative data as research material as a research method by first analyzing various literary sources which dominate the occurrence of several current instant culture phenomena due to technological advances. Then the second method is expected to get the best solution for the world of education, especially the millennial generation in accepting instant culture as a result. technological change and progress. The results of this research are that we all cannot withstand the influx of instant culture with increasingly rapid technological developments so that the world of education, especially the millennial generation, must be positive and critical in facing changes in instant cultural values so that we do not fall into it and the final conclusion is that we strive to use this instant culture in accordance with God's teachings and commands and in accordance with our Pancasila values
“MOTIVATION” AND “GOD-IMAGE” OF INDONESIAN MIGRANT WORKERS IN HONG KONG
Authors:   Universitas Sanata Dharma Yogyakarta, Warsono Agustinus Tri Edy , Subali Yohanes ,   Universitas Sanata Dharma Yogyakarta, Manggala Jakobus Aditya Christie ,   Societas Jesu, Haryadi Dominikus Setio ,   Purwokerto Diocese, Kristiyanto Nikolas ,   Universitas Sanata Dharma Yogyakarta
Published: February 2024

This paper explores the motivations and perceptions of God among Indonesian migrant workers in Hong Kong, focusing on their unique experiences and faith struggles. The study, guided by Interpretative Phenomenological Analysis (IPA), is based on the narratives of five female migrant workers with 6-12 years of experience in Hong Kong. From our study, compassion is identified as a fundamental motivator for Indonesian migrant workers. The study finds that all respondents maintain a positive God-Image, perceiving God as their Helper, Caregiver, and source of strength. Their faith is identified as a core motivation for survival. The Good Samaritan (Luke 10:25-37) is employed to illustrate this approach. Finally, this paper tries to contribute to offering a unique perspective on the lives of Indonesian migrant workers in Hong Kong, emphasizing the critical roles of compassion, faith, and a positive God-image in their experiences, and promoting a fresh approach to addressing their struggles.
The Students (Mahasantri) of Ma’had Aly As’adiyah Perception in Sengkang Regarding The Trustworthiness in The Quran
Authors: Marlinda Marlinda , Darmawati Darmawati , Mahfudz Muhsin
Published: February 2024

This research aims to determine the perception of MA'HA Santri (Students) at Al-Aly As'adiyah Islamic Boarding School in Sengkang regarding trustworthiness in the Quran. The research objective is to understand the perception of MA'HA Santri at Al-Aly As'adiyah Sengkang regarding trustworthiness in the Quran, categorizing this study as qualitative field research. Field research uses a contextual and comprehensive approach to explore the meanings, definitions, understanding, events, and lives of individuals directly or indirectly involved in the research subject. According to the students of Ma’had Aly As’adiyah Sengkang, the implementation of trustworthiness has been carried out effectively. The execution of these qualities aligns with the indicators in this study, namely responsibility, transparency, and keeping promises. The students (Mahasantri) at Ma'had Aly As'adiyah Sengkang have applied these indicators in their teaching processes at the campus to achieve quality learning. Implementing trustworthiness in learning by the students at Al-Aly As'adiyah Sengkang can produce high-quality outcomes. Quality learning can enhance knowledge for the future, benefiting oneself and others. However, some MA'HA Santri may still need to improve their trustworthiness in their daily lives.
Pengaruh Kompetensi Sosial Kepala Sekolah Terhadap Peningkatan Akreditasi di SMK Negeri 1 Barru
Authors: Baharuddin Baharuddin , Hafid Erwin , Musdalifah Musdalifah , Idul Fitri Muh. Nur , Gusnadi Rahmat
Published: February 2024

Tujuan Riset ini adalah menganalisis pengaruh pengaruh kompetensi soaial kepala sekolah terhadap peningkatan akreditasi di SMK Negeri 1 Barru. Kuantitatif merupakan jenis penelitian yang digunakan dengan populasi penelitian adalah Guru dan Kepala Sekolah di SMK Negeri 1 Barru melalii responden sebanyak 79. Proses menghimpun data dilakukan dengan cara observasi, angket dan dokumentasi. Data kemudian analisis deskriptif yang menunjukkan bahwa kompetensi sosial kepala sekolah pada kategoru sedang dengan jumlah responden 48 dari total 79 responden dengan persentase sebesar 60, 75%. dan Peningkatan Akreditasi pada kategori sedang dengan jumlah responden 53 dari total sebanyak 79 Responden dengan presentase sebesar 67, 08%. Uji Statistik menunjukkan nilai  = 5,961     = 1,991, maka hipotesis Alternatif  diterima dan hipotesis nihil ditolak, ini berarti ada pengaruh kompetensi sosial kepala sekolah terhadap peningkatan akreditasi di SMK negeri 1 Barru.
EFEKTIFITAS PENERAPAN LEARNING TO WORK PROFESIONALISME DAI WAHDAH ISLAMIYAH DI MAKASSAR
Authors: Hamiruddin  , Bin Bahe Muhammad Amir , AB Syamsuddin
Published: February 2024

The effectiveness of learning to work professionalism of preachers among Wahdah Islamiyah provides an overview of what Wahdah Islamiyah preachers do, both to know and. The type of research is qualitative with the method used being descriptive qualitative with a phenomenological approach. Primary data sources by conducting direct interviews with preachers, managers of preacher training, and lajnah preachers who are responsible for controlling the activities and existence of Wahdah Islamiyah preachers in the regions. The results of this study indicate that: Learning to work is an effective activity to increase the professionalism of preachers at Wahdah Islamiyah if the preachers are active in carrying out da'wah activities in the regions. Then there is control from the heads of the regions or regions where the preacher preaches, besides that there is also control from the center. From the results of this study, it can be concluded that the learning-to-work process carried out by alumni of the Wahdah Islamiyah preaching training can improve their professionalism.
INTERAKSI GURU DAN ANAK DALAM KEGIATAN PERAGAAN MANASIK HAJI DI PAUD
Authors: Prasanti Ditha
Published: February 2024

This article is the result of research and observations on the Hajj ritual activities that PAUD children follow. In this article, the author reveals the interaction of teachers and children in Early Childhood Education Institutions (PAUD), in participating in the Hajj ritual activities held by the Ministry of Religion in Bandung. This is interesting to study because so far the writer has seen various literary studies that discuss aspects of inculcating religious and moral values, but no one has revealed the interactions that occur between teachers and children in PAUD. Therefore, the author would like to know the main reasons for participating in the Hajj ritual activities for children of Al Amanah PAUD Bandung and the interactions between teachers and children in the Hajj ritual activities. The authors used a qualitative approach with a case study method in this study. Data collection techniques are carried out through interviews, observation, and study of literature. The research results obtained are as follows; 1) Hajj rituals for PAUD children are mandatory for the main reason as a learning process to introduce the implementation of the pillars of Islam that have been taught to children; 2) interactions that occur between teacher and child can add to the closeness of interpersonal relationships, the existence of "take and give" which is a method of Islamic learning in providing knowledge about the teachings of Islam to hajj to children in PAUD.
OPTIMALISASI PENCAHAYAAN ALAMI GEDUNG PERPUSTAKAAN (STUDI KASUS: GEDUNG PERPUSTAKAAN UNIVERSITAS ISLAM NEGERI ALAUDDIN MAKASSAR)
Authors: Ismajaya Muh. Aryanugraha , Nurul Jamala B  , Asniawaty
Published: February 2024

Abstrak_ Penelitian ini mengoptimalkan peningkatan distribusi pencahayaan alami di Gedung Perpustakaan Universitas Islam Negeri Alauddin Makassar. Metode penelitian menggunakan pendekatan kuantitatif yang melibatkan pengukuran langsung pencahayaan alami dengan lux meter di lokasi serta penyebaran kuesioner kepada pengunjung perpustakaan. Data lapangan diolah menggunakan MS Office Excel untuk analisis pencahayaan, sedangkan aplikasi Autodesk Ecotect dengan plugin Dekstop Radiance digunakan untuk mensimulasikan hasil pengukuran lapangan. Simulasi dilakukan menggunakan 6 sampel model light shelf yang berbeda dalam upaya mengoptimalkan pencahayaan alami. Hasil menunjukkan bahwa penggunaan light shelf dengan posisi di tengah dan sudut miring pada bagian luar menjadi strategi terbaik dalam memaksimalkan cahaya alami yang masuk ke dalam gedung. Pada lantai 2, light shelf ditempatkan di tengah jendela dengan kemiringan 15° pada setiap bukaan jendela luar, yang menghasilkan nilai R2 tertinggi sebesar 0,94. Sedangkan pada lantai 3, penggunaan light shelf di tengah jendela dengan kemiringan 30° pada sisi utara dan 15° pada sisi selatan memperoleh nilai R2 tertinggi sebesar 0,85.

Kata kunci: Pencahayaan Alami; Gedung Perpustakaan; Optimalisasi; Light Shelf; Efisiensi Energi;Ecotect

 

Abstract_ This research aims to optimize natural lighting in the Alauddin Makassar State Islamic University Library building by enhancing the distribution of natural light. The study employs a quantitative method involving direct measurement of natural lighting using a lux meter on-site and the dissemination of questionnaires among library visitors. Field measurement data is processed using MS Office Excel to assess the lighting conditions. Additionally, the application of Autodesk Ecotect with the Desktop Radiance plugin is utilized to simulate field measurement outcomes. To optimize natural lighting, simulations are conducted using six different models of light shelves. The simulation results indicate that employing a light shelf positioned centrally with an external angled surface proves most effective in maximizing natural light entry into the building. On the second floor, a centrally positioned light shelf with a 15° angle on each outer window opening yields the highest R2 value of 0.94. Meanwhile, on the third floor, using a centrally positioned light shelf with a 30° angle on the north side and 15° on the south side of the window achieves the highest R2 value of 0.85..

Keywords:  Natural Lighting, Library Building, Optimization, Light Shelf, Energy Efficiency, Ecotect
تطوير القاموس المساعد في تعليم مهارة القراءة في مدرسة دار الأخوة الثانوية الإسلامية بمالانج
Authors: Zaki Zaki Ahmad Farid , Rosyidi Abdul Wahab , Kholil Ahmad
Published: February 2024

Tujuan penelitian ini dilakukan adalah untuk Menghasilkan dan menjelaskan proses pengembangan kamus musaid dalam pembelajaran maharah qiraah di SMP Daarul Ukhuwwah Malang, Untuk Mengetahui kelayakan kamus musaid dalam pembelajaran maharah qiraah di SMP Daarul Ukhuwwah Malang, Untuk Mengetahui keefektifan kamus musaid dalam pembelajaran maharah qiraah di SMP Daarul Ukhuwwah Malang. Penelitian ini menggunakan jenis penelitian dan pengembangan (Research and Development). Proses pengembangan kamus musaid menggunakan model pengembangan ADDIE yang mengadopsi dalam Robert Maribe Branch. Model pengembangan ADDIE mempunyai 5 tahapan: a) Tahap Analisis, b) Tahap Desain, c) Tahap Pengembangan, d) Tahap Implementasi, e) Tahap Evaluasi. Teknik pengumpulan data melalui data kualitatif dan data kuantitatif. Data kualitatif diperoleh dari hasil wawancara, observasi, masukan para validator,dan dokumentasi, sedangkan data kuantitatif diperoleh dari hasil kuesioner validator, hasil belajar siswa pre-test dan post-test sebelum dan sesudah menggunakan produk kamus musaid yang dianalisis menggunakan uji-t dengan bantuan program komputer SPSS 21. Hasil pengembangan menunjukkan bahwa: (1) Menghasilkan kamus musaid melalui tahapan pengembangan ADDIE. (2) Proses uji kelayakan kamus musaid melalui validator ahli desain, ahli bahasa dan isi, ahli pembelajaran yang hasilnya sangat layak dan layak untuk diujicobakan. Hal ini berdasarkan hasil validasi ahli desain mendapatkan kriteria sangat layak dengan nilai 98,75%. Hasil validasi ahli bahasa dan isi memdapatkan triteria layak dengan nilai 80%. Hasil validasi ahli pembelajaran mendapatkan kriteria sangat layak dengan nilai 88,57%. Hasil angket tanggapan kemenarikan kamus musaid untuk siswa mendapatkan kriteria sangat layak dengan nilai 81,15%. (3) Tingkat keefektifan pada kamus musaid yang hasilnya terbukti efektif. Hal ini diperkuat dari hasil pre-test dan post-test sebelum dan sesudah menggunakan kamus musaid, hasil pre-test dan post-test kelas eksperimen mendapatkan nilai rata-rata 56,69 dan 86,31, dan hasil pre-test dan post-test kelas kontrol mendapatkan nilai rata-rata 51,35 dan 61,81. Dari hasil tersebut  kemudian diuji dengan menggunakan independent sample test, adapun hasilnya adalah hasil uji hipotesis post-test kelas eksperimen dan kontrol yaitu Sig. 0,000 < 0,05. Dari perolehan hasil tersebut ada perbedaan yang signifikan antara sebelum dan sesudah menggunakan kamus musaid. Kesimpulannya terdapat peningkatan hasil belajar siswa setelah menggunakan kamus musaid dalam pembelajaran maharah qiraah di SMP Daarul Ukhuwwah Malang.
Characteristics of water isotopes and their indication for water budget in a closed reservoir, Southeast China
Authors: Huang Qiang , Ouyang Liao , Lu Weijie , Chen Wenlin , Wang Zimiao , Xie Weiping
Published: February 2024

Xili reservoir is one of the most important drinking water reservoirs in southeast China, ensuring the safety of water supply in Shenzhen city. Understanding the water balance in the reservoir system under climate change and human activities is essential for making optimal water use planning. To assess the water balance of the Xili reservoir system, the water isotope characteristics in rainfall, reservoir water, groundwater, soil, and plant were investigated. The variation of isotope composition in rainfall, reservoir water, and groundwater indicates the different recharging and mixing water sources. A mathematical mass-balance model was established to evaluate the water budget in the Xili reservoir. Roughly 35% of total incoming water was consumed by evaporation, which reminds managers to pay more attention to making scientific planning.
Research on the Model Construction and Analysis of the Enterprise E-commerce Service Capability
Authors: Wu Juan , Pan Wen an , Atchike Desire Wade
Published: February 2024

The customer-oriented and situational nature of e-commerce requires companies to build up service capabilities. However, few scholars have studied this capability systematically. Most scholars see it as a ‘black box’ and give different 'black box' elements depending on the purpose of the study. So, in the context of e-commerce, what should a company's service capabilities include? How are they formed? What impact do they have on a firm's competitive advantage? How can service capabilities be established and improved? Based on the above background and questions, this paper investigates the service capabilities of e-commerce platforms by applying customer value theory in conjunction with the background characteristics of e-commerce transactions. Through case studies, a conceptual model of e-commerce service capability is proposed and its formation mechanism is studied. On this basis, the paper investigates how to measure e-commerce service capability. The aim is to provide theoretical guidance for enterprises' capability planning on e-commerce platforms and to facilitate the transformation from ‘commodity management’ to ‘capability management’. A combination of probability sampling and non-probability sampling was used to select the sample by distributing questionnaires to manufacturing companies in Taizhou, Hangzhou and Shaoxing, Zhejiang Province. For the mail survey, this study uses a snowball method to select the sample. This paper constructs service capability measurement indexes for e-commerce enterprises based on customer's perception of the transaction process, and uses dynamic factor analysis method to analyze enterprises' e-commerce strategic capability, e-commerce management capability and e-commerce technical resources, thus bringing constructive suggestions for the improvement of e-commerce service capability. The findings show that these three competencies are key components of e-business capabilities and together determine the establishment, cultivation and maintenance of an enterprise's e-business capabilities. Enterprises need to focus on these three areas and continuously modify and improve them to ultimately acquire e-business service capabilities.
Numerical calculation of seepage field and stability analysis of dam body of closed tailings pond
Authors: Jin Songli , Geng Chao
Published: February 2024

In this study, taking a certain iron ore tailings pond as the research object, a closed pond engineering design was conducted to ensure its sustained and stable operation. Firstly, installation of a flood drainage system (spillway) and closure of the existing overflow tower and drainage pipe are suggested. Secondly, numerical analysis is conducted on the seepage field of the dam body to determine the position of the saturation line of the dam body under normal water storage level and design flood level. Subsequently, the stability of the dam body under various working conditions is assessed using the limit equilibrium method.
Research on the Present Situation and Countermeasures of Technoloy Trading in China Based on Technology Contract Analysis-Take pudong new area, Shanghai as an example
Authors: Rong Huang
Published: February 2024

Technology trading is the main path for the transformation of scientific and technological, and it can connect the integration of science and technology with the economy. It plays an important role in the scientific and technological innovation chain. This article mainly focuses on the current situation of technology contract in Pudong New Area, Shanghai, analyzes the difficulties and problems faced in the development of the technology market in the new area, and puts forward policy suggestions to promote the development of the technology trading market. In order to promote the efficiency of Pudong's scientific and technological transformation, enhance the technological competitiveness of enterprises, accelerate the in-depth integration of science and technology with industry, and strengthen the ability of regional independent innovation.
Research on Dynamic Model Construction of MTI Teacher Professional Development under Influence of Translation Technology
Authors: Wang Zhe , Chen Xiaoyuan
Published: February 2024

The continuous updating of translation technology has had a huge impact on the Master of Translation and Interpreting (MTI) teacher professional development. Exploring the effects of translation technology on teacher professional development, the composition of abilities, and factors that influence it, this paper draws upon a literature review and action research. Through the theoretical deductive reasoning and action research, the paper has constructed a dynamic model of MTI teacher professional development under the influence of translation technology, providing cases and useful references for the follow-up research of teacher professional development under the new technology environment, in order to provide a feasible implementation plan for the professional development of college teachers.
Research on Self-service Customs Clearance System at Border Crossings Based on Deep Learning Models
Authors: Huang Wenjie
Published: February 2024

This paper proposes a deep learning method for face recognition in the self-service customs clearance system at border crossings and designs the encoder and face feature mining module in the learning framework. Meanwhile, the loss function is constructed by combining L1 loss and KL scatter. The face recognition technology based on the deep learning model is used to construct the self-service border crossing system, and the research and analysis are conducted from two aspects, namely, the test of the self-service border crossing system and the application situation. The number of outbound self-clearance acceptors has increased by 2957931, and the self-clearance system at border crossings is able to provide more travelers with the convenience brought by self-clearance. This study solves the problem of self-clearance at border crossing with the help of face recognition technology in a deep learning model, which provides technical support and theoretical reference for the optimization and upgrading of self-clearance system at border crossing in the future.
Detection of Apparent Defects in HPLC/Dual Mode Portable Sorting Device Based on Deep Learning and Image Processing
Authors: Wang Peng , Li Xiao , Jiang Peng , Li Zhe , Li Lin , Liu Lijun , Wang Zhaojun
Published: February 2024

As the growth of automated detection technology, traditional manual detection has gradually been replaced. To improve the effectiveness of defect detection, a HPLC/dual mode portable sorting device with deep learning and image processing is raised for apparent defect detection. The product image is segmented using flood filled mean shift method, and defect detection is achieved using Yolo v3 algorithm. An LME2918 chip is the main component of the communication module in the portable device. Based on experimental data, image segmentation accuracy can range from 80% to 100%, and image matching accuracy can range from 85% to 95%. Under the power line carrier mode, the average success rate of apparent defect detection in portable sorting devices can reach 85%, and the change in success rate is not significant, indicating that the detection is relatively stable; Under wireless communication mode, the average success rate can reach 83%, and the change in success rate is relatively obvious, because wireless communication is easily affected by the external environment. The experimental data shows that the defect detection effect of the HPLC/dual mode portable sorting device based on deep learning and image processing meets the design requirements.
Knowledge Graph-based Diversity Analysis of Supplier Holographic Portraits
Authors: Li Jinxia , Bian Huaxing , Wen Fuguo , Hu Tianmu
Published: February 2024

Fully understand the development of suppliers in order to make better supplier selection. This paper is based on the knowledge graph, through the knowledge updating of the knowledge graph combined with the Transformer model for knowledge extraction of supplier entity relationship, forming the ternary semantic information of supplier entity relationship. Then, based on the big data platform for the construction of supplier holographic portrait and knowledge storage, through information integration, analysis and other links to identify the supplier attributes for label definition. Taking cell phone product suppliers as an example, we use Python technology to obtain relevant data and validate the specific role of supplier holographic portrait in terms of the supplier’s comprehensive strength, behavioral prediction, transaction closeness, and comprehensive evaluation. The results show that: the correlation between the comprehensive strength of suppliers and the amount of winning bids is strong, and its R2 test result is 0.5924, and it can realize the behavioral prediction of suppliers in the supply chain. Supplier H offers a range of cell phone products in 2022, which is 17.62%21.17% higher than the benchmark market price. The holographic portrait of suppliers based on a knowledge graph combined with a big data platform can meet the need to carry out an all-around analysis of suppliers and provide more accurate support for diversified decision-making on the demand side.
The Construction of English Translation Teaching System in Colleges and Universities Based on Cluster Search Algorithm
Authors: Zhu Jianxiang
Published: February 2024

In the actual teaching of English translation, problems such as the disconnection of theory and practice and the insufficient perfection of the teaching system have emerged, which greatly affect the development of practical activities of English translation teaching in colleges and universities. This paper establishes the English translation teaching system based on the CIPP evaluation model, and to ensure the objectivity of the weights of evaluation indexes, the weights of the evaluation indexes are solved by cluster search algorithm, and the process of solving the index weights is optimized by using genetic algorithm. Taking ten universities in the university city of S province as the object of investigation, the corresponding questionnaires are designed to obtain the evaluation data, and the quality of English translation teaching is graded comprehensively evaluated, and analyzed through the fuzzy comprehensive evaluation model. The results show that: in the process of constructing the English translation teaching system in colleges and universities, the weight value of the teaching objectives reaches 0.2747, and the weight value of the implementation of the teaching links in the teaching process is the highest at 0.0493, and the use of the fuzzy comprehensive evaluation model can carry out a comprehensive evaluation of the quality of English translation teaching. The English translation teaching system of colleges and universities constructed based on CIPP evaluation model can help colleges and universities to find out the problems of English translation teaching and carry out innovative reforms in a targeted way, to improve the practical power of English translation teaching.
Analysis of English Teaching Quality Evaluation in Colleges and Universities Based on AHP Modeling
Authors: Yan Ting , Zhou Yahong
Published: February 2024

English in colleges and universities is an important subject for learning, so it is especially important to evaluate and analyze the quality of teaching English in colleges and universities. This paper constructs the evaluation system of college English teaching quality based on the AHP model, builds the three-level index model of college English teaching quality by combining the relative importance level of Sta, and then carries out the normalization process to determine the importance degree of the indexes at all levels. Combined with factor analysis and data analysis of the results of the expert consultation on the indicator model to measure the factors affecting the quality of teaching in colleges and universities for the overall evaluation and analysis. From the validation data, it can be seen that there are 24 correlation coefficients above 0.5 and 12 above 0.8 in the model influence factor testing. The standardized factor loadings of each potential variable are all greater than 0.75, and the average variance extractions are all greater than 0.65, effectively verifying the internal consistency and convergent validity of the indicator model. In the validation data of the teaching evaluation system, the individual scores of the three-level indicators are all greater than 90, indicating the effectiveness and appropriateness of the teaching evaluation system. The construction of an English teaching quality evaluation system in colleges and universities is conducive to the improvement of teaching management and a more precise grasp of the improvement of teaching quality.
Effectiveness Evaluation of Employment and Entrepreneurship Education Models in Colleges and Universities Based on Multiple Fuzzy Evaluation System
Authors: Hu Lan
Published: February 2024

Employment and entrepreneurship education in colleges and universities is an urgent need for the national implementation of the innovation-driven development strategy and the promotion of economic quality and efficiency. In this paper, the entropy weight method is used to get the original index matrix for the evaluation of the effect of the employment and entrepreneurship education model in colleges and universities, and then the data are normalized to derive the weight value of the employment and entrepreneurship education model in colleges and universities. The fuzzy evaluation of the M college employment and entrepreneurship education model is derived by using multivariate fuzzy comprehensive evaluation according to the weight value. Lastly, the fuzzy evaluation of three colleges and universities in H is done using the fuzzy comprehensive evaluation model based on entropy weight and multivariate data. The experimental results show that B2 employment and entrepreneurship hard environment, B4 financial guarantee, and B9 student achievement evaluation of M colleges are all poor. After evaluating three colleges and universities in place H, it was found that the fuzzy evaluation results of students and experts in each index were consistent. The students of the 3 colleges and universities in place H were rated by employers in the areas of adventurous spirit, willpower, and crisis management at a score of 0.5-0.6 QC, which needs to be improved. Overall employers’ satisfaction with the entrepreneurial ability of students in these 3 colleges and universities is 0.69, 0.698, and 0.709, respectively, and the employment and entrepreneurship education model of colleges and universities in place H is effective.
Knowledge Graph Based Large Scale Network Security Threat Detection Techniques
Authors: Hu Zhifeng
Published: February 2024

This paper constructs a detection technique for large-scale network security threats based on a knowledge graph, extracts the attack features of network security threats using feature template FT, and combines the CNN layer, BiLSTM layer and CRF layer to establish FT-CNN-BiLSTM-CRF large-scale network security threat detection technique. Network security threat performance evaluation experiments and multi-step attack experiments have verified the detection capability of this paper's method. The recall rate of the method built in this paper in detecting malicious data is about 62.39%, the average F1-Score for normal and malicious traffic detection is 0.7482, and the anomaly score for normal traffic detection is almost 0. The detection performance of this paper's method for multi-step network attacks is superior to that of other methods, and it is capable of detecting malicious attacks quickly. Experiments have proved that the method constructed in this paper can meet the requirements of detection capability and efficiency in large-scale network security threats and has high feasibility and application value.
BiLSTM-FCN based vibration signal diagnosis of smart grid cables
Authors: Fang Chunhua , Zhang Yao , Tao Yuning , Chen Huangxi , Hu Tao , Sun Aoqi
Published: February 2024

Cable faults threaten the safe and stable operation of smart grids, and vibration signal diagnosis research on cables based on artificial intelligence technology can effectively enhance the reliability of smart grids. In order to improve the speed and accuracy of cable defect identification, this paper proposes a partial discharge identification method for cables based on a fully convolutional bidirectional long short-term memory neural network (BiLSTM-FCN). The time-domain characteristics of different working conditions under industrial frequency AC voltage are collected by building a vibration signal-based partial discharge test platform for cables. The Overlap strategy enhances the data set. The BiLSTM layer is introduced to process the one-dimensional time domain waveform signal, and combined with the local detail features extracted by the FCN layer, the data features are more abundant. Thus, a more accurate diagnosis of localized discharge in high voltage cables under different operating conditions. The results show that the diagnostic accuracy based on the BiLSTM-FCN model reaches 92.2%, which is 1.2% and 1.4% higher compared to the FCN model and the BiLSTM model. BiLSTM-FCN model possesses a better recognition effect and faster recognition speed in the identification of partial discharge defects type, which can effectively achieve the automatic detection of abnormal fault nodes of smart grid cables. It is significant for realizing online dynamic evaluation of small portable online monitoring equipment and provides a reference for future related research.
Evaluation and Enhancing Path of the Teaching Quality of English Courses in Colleges and Universities Based on Fuzzy Evaluation Model
Authors: Wang Juan
Published: February 2024

As an important part of the college curriculum, the English course has certain practical significance in the exploration of its curriculum construction. In this paper, we first constructed a teaching quality index system for English courses in colleges and universities, solved the weights of the indexes based on triangular fuzzy hierarchical analysis, and then introduced the theory of topology and simple correlation to improve the comprehensive fuzzy evaluation method for the assessment of the teaching quality of English courses. Finally, an empirical study is conducted to evaluate indicators at every level and their comprehensive quality. According to the study, the first-level indicators have the highest weight of 0.6016 for courses. The teaching quality of English courses in all 20 universities is good, with 53.34% of universities evaluating it as good or above. The teaching quality index of course B among the three English courses is the highest, 81.69. 90% of colleges and universities have received an evaluation grade of medium or above when teaching English courses. Among the indicators, curriculum, teaching, and teaching scholarship were rated as excellent. The evaluation of the course’s pioneering innovation, equipment support, and evaluability was very poor. Optimizing course content, equipment support, and course assessment can improve the quality of teaching English in higher education, according to this study.
Analysis of carrying capacity of higher education based on topological number theory in the context of ecological theory of education
Authors: Dong Huifang , Deng Dapeng , Liang Yusheng
Published: February 2024

This paper focuses on analyzing the educational carrying capacity of colleges and universities by using topological number theory and the educational carrying capacity development index. The scale range of the educational carrying capacity of colleges and universities can be determined by identifying relevant definitions of topological space and some topological invariants. Using the relevant definitions of topological space to divide the college education-bearing intervals of different regions and combining the human development index and imbalance coefficient processing, we construct the formula of the balanced and sufficient development index of college education-bearing capacity, which is used to analyze the education bearing capacity of colleges and universities. Analyze different states of college education carrying capacity based on the college education carrying capacity bearing structure. Examine the educational carrying capacity of colleges and universities by examining their educational resource allocation with the help of human and financial resources. The results show that the teacher-student ratio of the urban function expansion area is 0.052, which is the smallest teacher-student ratio among all the districts, indicating that although the district is rich in teachers’ resources, the balanced and sufficient development index of the educational carrying capacity of colleges and universities in District A and District D is high, and the top two rankings have been maintained for a long period in the process of development, and the index of the balanced and sufficient development of education in District A will be 60 in 2021, which is in the area of the development of higher value of the educational carrying capacity.
Exploring the Reform of College English Teaching from the Perspective of New Liberal Arts
Authors: Qiu Jinyang
Published: February 2024

The construction of new liberal arts requires college English teaching to introduce new concepts, utilize new technologies, and promote students’ effective learning through the intersection of disciplines and curricula, to cultivate integrative talents with innovative and practical abilities. Under the perspective of new liberal arts, this paper integrates deep commonality and uniqueness knowledge mining multimodal clustering, DCUMC algorithmic model and multimodal teaching means to construct a multimodal analysis model framework and reform the English teaching model in colleges and universities. In addition, the information entropy is used to improve the ID3 algorithm to construct multidimensional evaluation indexes for college English teaching, and the improved ID3 algorithm is used for data mining of multidimensional evaluation so that teachers can adjust the teaching progress and difficulty according to real-time and accurate feedback information. Experiments are conducted on multimodal teaching mode and teaching evaluation, and the experimental results show that compared with the traditional teaching mode, the average scores of multimodal English teaching mode after five months are 96 and 85, which is an improvement of 11 points, 69.58%, 67.93%, 56.25%, and 53.79% higher in the ratio of excellent and good evaluations, respectively. Compared to the single teaching evaluation, the multidimensional evaluation points out that the traditional teaching mode needs more designer-student interaction as well as a reduction in the difficulty of the teaching content. In conclusion, the multimodal English teaching model can effectively improve teaching effectiveness and is implementable.
Informationization Construction of Civic Education in Colleges Based on Big Data Technology
Authors: Wu Jingzhi
Published: February 2024

This paper explores the application of big data technology in daily civic education in colleges, and visualizes the data with heterogeneous systems, on which the result is based to design the education evaluation data model. Calculating the total evaluation value of the teachers in the field of Civics and Political Science, combining with the sector area ratio division algorithm to realize the uniform display of scientific research achievements in the field of Civics and Political Science, and completing the construction of the knowledge model of Civics and Political Science education in colleges with above procedures. The appropriate learning path of Civics informatization for the learners is projected with the ant colony algorithm, which is based on the adaptive test ability value of the learners generated from item response theory. The construction of civic education information in colleges is done using big data technology. The results show that after a period of learning in the mode of informatization of Civic and Political Education, the mean value of the students in the experimental class scores 10 points higher than that of the control class learning. Overall students are more agreeable to the role of informatization of Civic and Political Education in colleges and the construction of informatization of Civic and Political Education in colleges has achieved good results.
Teaching English for International Marketing in Business English Majors under the View of Applied Teaching
Authors: Li Xiuqin
Published: February 2024

As one of the core courses of the Business English major, “International Marketing English” integrates business marketing teaching and linguistic teaching, demonstrating interdisciplinary characteristics. At the same time, the course teaching presents a strong inclination to cater to talent cultivation needs of social and economic development, stressing the connection between theory and practice, which is facing strong teaching challenges. The integration of discipline teaching and practical social needs is emphasized in application-oriented teaching, which breaks away from the limitations of traditional teaching. It encourages the strategic advancement of the ‘International Marketing English program for business English majors. From the perspective of ecological education and scenario-based teaching theory, this paper explains the theoretical basis for application-oriented teaching in ‘International Marketing English’. It also proposes methods to promote application-oriented teaching in course teaching, including strengthening the integration of industrial development and talent cultivation, creating teaching scenarios, practicing on designated projects, and adopting diverse modes of evaluation.
A Study of Strategies and Methods for the Application of Sports Nutrition in Fitness Training
Authors: Zhao Xiaopeng , Luo Guangxia , Cao Miao , Wang Xuanfeng , Su Xianghui , Wu Gang
Published: February 2024

Dietary habits are particularly important in fitness training, and a scientific fitness diet needs to be formulated according to the fitness user’s situation, fitness goals and exercise volume. In this paper, a multimodal personalized sports nutrition recommendation model incorporating users’ visual preferences is designed to address the important impact of visual features on the task of sports nutrition recommendation. The user’s visual preference is modeled using the Query-Key-Value attention mechanism, which extracts valuable visual information from their historical data and adds it to textual features. In the sports nutrition program generation part, guided by sports nutrition theory and based on the MMFV model, the sports nutrition program generation method was designed. Then, the multi-objective optimization problem of the sports nutrition scheme is planned and modeled, and a calorie-checking mechanism is added to the multi-objective particle swarm algorithm for the problem of calorie intake not meeting the fitness goal. According to the sports nutrition program recommendation algorithm to improve the three meals diets of the gym participants, through the analysis of relevant data to verify the scientificity of the recommended program. The average intake of protein, vitamin A, vitamin B1 and vitamin C of the fitness participants after the modification increased by 7.4%, 17.77%, 22.33% and 8.46%, respectively, compared with that before the modification. Scapular sebaceous thickness and abdominal sebaceous thickness were reduced by 2.2 mm and 1.47 mm, respectively, compared with the pre-modification period.TC, TG and LDL metabolism were in the normal range, which was significantly different from the pre-modification period (P<0.05).
Construction of a Database for Vocal Music Teaching in Colleges and Universities Based on the Inheritance and Protection of the Central Plains Culture
Authors: Xian Rui
Published: February 2024

Multi-cultural integration is an inevitable path to enhance the inheritance and protection of the Central Plains culture and to innovate the teaching mode of vocal music in colleges and universities. In this paper, we constructed a university vocal music teaching database system based on distributed database, and used semi-connection algorithm to query and optimize the data related to the integration of Central Plains culture into vocal music teaching resources. In order to make up for the defects of the semi-connection algorithm when facing a large number of tuples, the semi-connection algorithm is improved by introducing the idea of symmetric homology to realize the massive data scheduling of the vocal music teaching resources database. For the college vocal teaching database constructed in this paper, the query optimization test and performance test are carried out, and the teaching practice application is carried out with the vocal teaching database. The results show that the query throughput rate of vocal music teaching resources reaches 3.18*103MB/s under Read-only load when the number of running rounds reaches 16 rounds, and when the number of concurrent users of the vocal music teaching database is 1000, the CPU occupancy rate and memory utilization rate are 1.37% and 1.06%, respectively. By integrating Zhongyuan culture into the vocal music teaching database, more than 70% of the students indicated that it could enhance their interest in learning about Zhongyuan culture. The use of technology to realize the integration of vocal music teaching and the culture of the Central Plains provides a new reference for the inheritance and protection of the culture of the Central Plains.
Research on Urban Garden Landscape Planning and Construction Based on Ecological Concepts
Authors: Li Yan , Sun Qingli
Published: February 2024

As an important part of urban ecology, the planning and construction of ecological landscape gardens is an effective way to improve the quality of urban life. The biodiversity of urban gardens is measured using species diversity indicators such as species richness, Simpson, Shan-Wiener, and Pielou evenness in this paper. The landscape single dynamic attitude, landscape comprehensive dynamic attitude and landscape patch transfer matrix were selected to construct a landscape dynamic change model, and the six urban areas of H city were used as the research object to analyze the landscape pattern of vegetation cover in urban gardens and landscapes. The results showed that among the area indexes on the landscape level in the study area of H city from 2018 to 2022, the maximum patch index, patch density and edge density indexes increased year by year, with an increase of 0.24, 3.42 m*hm−2, and 0.21 hm−2, respectively, in five years. Among the aggregation indexes, the effective particle size index showed an increasing trend, with an increase of 4301.3ha2 in 2022 compared with that in 2018, and the aggregation index showed a gradual decreasing trend, with a decrease of 0.4 in 2022 compared to 2018. By analyzing the landscape pattern, the changes in the landscape pattern can be described, and then the internal mechanism affecting the landscape pattern can be determined, which is of significant significance for the study of urban garden landscape planning and construction.